2025-09-07T07:27:14.6067343Z Current runner version: '2.328.0' 2025-09-07T07:27:14.6074602Z Runner name: 'i-06e731cf93e583fbf' 2025-09-07T07:27:14.6075748Z Runner group name: 'default' 2025-09-07T07:27:14.6076825Z Machine name: 'ip-10-0-19-251' 2025-09-07T07:27:14.6080199Z ##[group]GITHUB_TOKEN Permissions 2025-09-07T07:27:14.6082685Z Contents: read 2025-09-07T07:27:14.6083498Z Metadata: read 2025-09-07T07:27:14.6084109Z ##[endgroup] 2025-09-07T07:27:14.6086403Z Secret source: Actions 2025-09-07T07:27:14.6087201Z Prepare workflow directory 2025-09-07T07:27:14.6625284Z Prepare all required actions 2025-09-07T07:27:14.6665669Z Getting action download info 2025-09-07T07:27:14.9599692Z Download action repository 'pytorch/test-infra@main' (SHA:548a4bc624d43a01cdf165a63b041f0ae014ddbd) 2025-09-07T07:27:16.6523878Z Download action repository 'pytorch/pytorch@main' (SHA:93fb23d6fae7c4e82c4239a1033e522088742634) 2025-09-07T07:27:29.1638312Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-09-07T07:27:29.4090358Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-09-07T07:27:29.5862188Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-09-07T07:27:29.7543884Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T07:27:30.0188195Z Getting action download info 2025-09-07T07:27:30.1168591Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-09-07T07:27:30.4015990Z Getting action download info 2025-09-07T07:27:30.5095842Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-09-07T07:27:30.7694651Z Getting action download info 2025-09-07T07:27:30.8935226Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-09-07T07:27:31.1061696Z Getting action download info 2025-09-07T07:27:31.2891268Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (93fb23d6fae7c4e82c4239a1033e522088742634) 2025-09-07T07:27:31.2895600Z ##[group] Inputs 2025-09-07T07:27:31.2895953Z build-environment: linux-jammy-aarch64-py3.10 2025-09-07T07:27:31.2908805Z 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"}]} 2025-09-07T07:27:31.2922138Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:27:31.2922968Z sync-tag: 2025-09-07T07:27:31.2923813Z timeout-minutes: 720 2025-09-07T07:27:31.2924035Z use-gha: 2025-09-07T07:27:31.2924548Z dashboard-tag: training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true 2025-09-07T07:27:31.2925136Z s3-bucket: gha-artifacts 2025-09-07T07:27:31.2925369Z aws-role-to-assume: 2025-09-07T07:27:31.2925946Z disable-monitor: false 2025-09-07T07:27:31.2926225Z monitor-log-interval: 15 2025-09-07T07:27:31.2926494Z monitor-data-collect-interval: 4 2025-09-07T07:27:31.2926776Z ##[endgroup] 2025-09-07T07:27:31.2927295Z Complete job name: linux-jammy-aarch64-py3.10-inductor / test (inductor_torchbench_perf_cpu_aarch64, 1, 15, linux.arm64.m7g.metal) 2025-09-07T07:27:31.3997234Z A job started hook has been configured by the self-hosted runner administrator 2025-09-07T07:27:31.4107503Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-09-07T07:27:31.4117744Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:27:31.4118387Z ##[endgroup] 2025-09-07T07:27:32.5619894Z Runner Type: linux.arm64.m7g.metal 2025-09-07T07:27:32.5620280Z Instance Type: m7g.metal 2025-09-07T07:27:32.5620504Z AMI Name: unknown 2025-09-07T07:27:32.5647607Z AMI ID: ami-022bbd2ccaf21691f 2025-09-07T07:27:37.5235897Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-09-07T07:27:37.5236397Z with: 2025-09-07T07:27:37.5236924Z github-secret: *** 2025-09-07T07:27:37.5237569Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-09-07T07:27:37.5238248Z activate-with-label: false 2025-09-07T07:27:37.5238476Z label: with-ssh 2025-09-07T07:27:37.5238685Z remove-existing-keys: true 2025-09-07T07:27:37.5238933Z fail-silently: true 2025-09-07T07:27:37.5239133Z env: 2025-09-07T07:27:37.5239315Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:27:37.5239561Z ##[endgroup] 2025-09-07T07:27:37.6272089Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-09-07T07:27:37.6273596Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-09-07T07:27:37.6445095Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-09-07T07:27:37.6445512Z with: 2025-09-07T07:27:37.6445695Z no-sudo: true 2025-09-07T07:27:37.6445893Z submodules: recursive 2025-09-07T07:27:37.6446119Z fetch-depth: 0 2025-09-07T07:27:37.6446301Z env: 2025-09-07T07:27:37.6446481Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:27:37.6446695Z ##[endgroup] 2025-09-07T07:27:37.6535384Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:27:37.6536235Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:27:37.6545940Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:27:37.6546292Z env: 2025-09-07T07:27:37.6546477Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:27:37.6546698Z ##[endgroup] 2025-09-07T07:27:37.6625834Z ##[group]Run # Use all available CPUs for fetching 2025-09-07T07:27:37.6626217Z # Use all available CPUs for fetching 2025-09-07T07:27:37.6626531Z cd "${GITHUB_WORKSPACE}" 2025-09-07T07:27:37.6626855Z git config --global fetch.parallel 0 2025-09-07T07:27:37.6627195Z git config --global submodule.fetchJobs 0 2025-09-07T07:27:37.6627486Z  2025-09-07T07:27:37.6627795Z # Clean workspace. The default checkout action should also do this, but 2025-09-07T07:27:37.6628202Z # do it here as well just in case 2025-09-07T07:27:37.6628475Z if [[ -d .git ]]; then 2025-09-07T07:27:37.6628722Z  if [ -z "${NO_SUDO}" ]; then 2025-09-07T07:27:37.6628997Z  sudo git clean -ffdx 2025-09-07T07:27:37.6629231Z  else 2025-09-07T07:27:37.6629428Z  git clean -ffdx 2025-09-07T07:27:37.6629648Z  fi 2025-09-07T07:27:37.6629823Z fi 2025-09-07T07:27:37.6635680Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:27:37.6636012Z env: 2025-09-07T07:27:37.6636273Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:27:37.6636520Z NO_SUDO: true 2025-09-07T07:27:37.6636705Z ##[endgroup] 2025-09-07T07:27:37.6794517Z ##[group]Run actions/checkout@v4 2025-09-07T07:27:37.6794764Z with: 2025-09-07T07:27:37.6794974Z ref: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:27:37.6795256Z fetch-depth: 0 2025-09-07T07:27:37.6795448Z submodules: recursive 2025-09-07T07:27:37.6795665Z show-progress: false 2025-09-07T07:27:37.6795888Z repository: pytorch/pytorch 2025-09-07T07:27:37.6796232Z token: *** 2025-09-07T07:27:37.6796413Z ssh-strict: true 2025-09-07T07:27:37.6796604Z ssh-user: git 2025-09-07T07:27:37.6797068Z persist-credentials: true 2025-09-07T07:27:37.6797291Z clean: true 2025-09-07T07:27:37.6797503Z sparse-checkout-cone-mode: true 2025-09-07T07:27:37.6797754Z fetch-tags: false 2025-09-07T07:27:37.6797940Z lfs: false 2025-09-07T07:27:37.6798126Z set-safe-directory: true 2025-09-07T07:27:37.6798343Z env: 2025-09-07T07:27:37.6798519Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:27:37.6798733Z ##[endgroup] 2025-09-07T07:27:37.7909045Z Syncing repository: pytorch/pytorch 2025-09-07T07:27:37.7910375Z ##[group]Getting Git version info 2025-09-07T07:27:37.7910809Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-09-07T07:27:37.7911393Z [command]/usr/bin/git version 2025-09-07T07:27:37.8084480Z git version 2.47.1 2025-09-07T07:27:37.8108883Z ##[endgroup] 2025-09-07T07:27:37.8117770Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/b43b610b-a5a9-4439-9342-dba310a2a94e/.gitconfig' 2025-09-07T07:27:37.8130025Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/b43b610b-a5a9-4439-9342-dba310a2a94e' before making global git config changes 2025-09-07T07:27:37.8130907Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T07:27:37.8135363Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:27:37.8175545Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-09-07T07:27:37.8178495Z ##[group]Initializing the repository 2025-09-07T07:27:37.8182869Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:27:37.8248515Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-09-07T07:27:37.8249080Z hint: is subject to change. To configure the initial branch name to use in all 2025-09-07T07:27:37.8249595Z hint: of your new repositories, which will suppress this warning, call: 2025-09-07T07:27:37.8249994Z hint: 2025-09-07T07:27:37.8250310Z hint: git config --global init.defaultBranch 2025-09-07T07:27:37.8250619Z hint: 2025-09-07T07:27:37.8250941Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-09-07T07:27:37.8251474Z hint: 'development'. The just-created branch can be renamed via this command: 2025-09-07T07:27:37.8251860Z hint: 2025-09-07T07:27:37.8252066Z hint: git branch -m 2025-09-07T07:27:37.8275809Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-09-07T07:27:37.8286712Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-09-07T07:27:37.8325865Z ##[endgroup] 2025-09-07T07:27:37.8326253Z ##[group]Disabling automatic garbage collection 2025-09-07T07:27:37.8331110Z [command]/usr/bin/git config --local gc.auto 0 2025-09-07T07:27:37.8356608Z ##[endgroup] 2025-09-07T07:27:37.8356992Z ##[group]Setting up auth 2025-09-07T07:27:37.8363598Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T07:27:37.8390213Z [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' || :" 2025-09-07T07:27:37.8767092Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T07:27:37.8791317Z [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' || :" 2025-09-07T07:27:37.9063557Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:27:37.9097762Z ##[endgroup] 2025-09-07T07:27:37.9098152Z ##[group]Fetching the repository 2025-09-07T07:27:37.9105119Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T07:28:18.4791926Z From https://github.com/pytorch/pytorch 2025-09-07T07:28:18.4792344Z * [new branch] 160583 -> origin/160583 2025-09-07T07:28:18.4792861Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-09-07T07:28:18.4793335Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-09-07T07:28:18.4793882Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-09-07T07:28:18.4794489Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-09-07T07:28:18.4795002Z * [new branch] ISSUE-154849 -> origin/ISSUE-154849 2025-09-07T07:28:18.4797132Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-09-07T07:28:18.4798217Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-09-07T07:28:18.4799096Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-09-07T07:28:18.4800157Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-09-07T07:28:18.4801463Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-09-07T07:28:18.4801997Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-09-07T07:28:18.4802888Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-09-07T07:28:18.4803861Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-09-07T07:28:18.4804715Z * [new branch] VLA_exp -> origin/VLA_exp 2025-09-07T07:28:18.4806475Z * [new branch] actually-run-mps-aot-inductor -> origin/actually-run-mps-aot-inductor 2025-09-07T07:28:18.4807116Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-09-07T07:28:18.4807783Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-09-07T07:28:18.4808818Z * [new branch] add-vllm-nightly-build -> origin/add-vllm-nightly-build 2025-09-07T07:28:18.4809653Z * [new branch] add_compile_benchmarking -> origin/add_compile_benchmarking 2025-09-07T07:28:18.4810625Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-09-07T07:28:18.4811479Z * [new branch] addsimde -> 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2025-09-07T07:28:18.9565174Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-09-07T07:28:18.9566240Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-09-07T07:28:18.9566893Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-09-07T07:28:18.9567661Z * [new tag] ciflow/binaries/156049 -> ciflow/binaries/156049 2025-09-07T07:28:18.9568209Z * [new tag] ciflow/binaries/156712 -> ciflow/binaries/156712 2025-09-07T07:28:18.9568689Z * [new tag] ciflow/binaries/157432 -> ciflow/binaries/157432 2025-09-07T07:28:18.9569250Z * [new tag] ciflow/binaries/157685 -> ciflow/binaries/157685 2025-09-07T07:28:18.9569750Z * [new tag] ciflow/binaries/157689 -> ciflow/binaries/157689 2025-09-07T07:28:18.9570261Z * [new tag] ciflow/binaries/158104 -> ciflow/binaries/158104 2025-09-07T07:28:18.9570891Z * [new tag] ciflow/binaries/160229 -> ciflow/binaries/160229 2025-09-07T07:28:18.9571519Z * [new tag] ciflow/binaries/160720 -> ciflow/binaries/160720 2025-09-07T07:28:18.9572030Z * [new tag] ciflow/binaries/162080 -> ciflow/binaries/162080 2025-09-07T07:28:18.9572623Z * [new tag] ciflow/binaries/162329 -> ciflow/binaries/162329 2025-09-07T07:28:18.9573313Z * [new tag] ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049 2025-09-07T07:28:18.9573820Z * [new tag] ciflow/binaries_libtorch/156711 -> ciflow/binaries_libtorch/156711 2025-09-07T07:28:18.9574346Z * [new tag] ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432 2025-09-07T07:28:18.9574980Z * [new tag] ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049 2025-09-07T07:28:18.9575490Z * [new tag] ciflow/binaries_wheel/156711 -> ciflow/binaries_wheel/156711 2025-09-07T07:28:18.9575932Z * [new tag] ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432 2025-09-07T07:28:18.9576441Z * [new tag] ciflow/binaries_wheel/162136 -> ciflow/binaries_wheel/162136 2025-09-07T07:28:18.9577065Z * [new tag] ciflow/binaries_wheel/162252 -> ciflow/binaries_wheel/162252 2025-09-07T07:28:18.9577555Z * [new tag] ciflow/binaries_wheel/162325 -> ciflow/binaries_wheel/162325 2025-09-07T07:28:18.9578322Z * [new tag] ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703 2025-09-07T07:28:18.9578930Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-09-07T07:28:18.9579404Z * [new tag] ciflow/h100-symm-mem/161984 -> ciflow/h100-symm-mem/161984 2025-09-07T07:28:18.9579944Z * [new tag] ciflow/h100-symm-mem/162003 -> ciflow/h100-symm-mem/162003 2025-09-07T07:28:18.9580591Z * [new tag] ciflow/h100-symm-mem/162011 -> ciflow/h100-symm-mem/162011 2025-09-07T07:28:18.9580970Z * [new tag] ciflow/h100-symm-mem/162026 -> ciflow/h100-symm-mem/162026 2025-09-07T07:28:18.9581509Z * [new tag] ciflow/h100-symm-mem/162033 -> ciflow/h100-symm-mem/162033 2025-09-07T07:28:18.9582033Z * [new tag] ciflow/h100-symm-mem/162040 -> ciflow/h100-symm-mem/162040 2025-09-07T07:28:18.9582568Z * [new tag] ciflow/h100-symm-mem/162041 -> ciflow/h100-symm-mem/162041 2025-09-07T07:28:18.9583043Z * [new tag] ciflow/h100-symm-mem/162142 -> ciflow/h100-symm-mem/162142 2025-09-07T07:28:18.9583561Z * [new tag] ciflow/h100-symm-mem/162150 -> ciflow/h100-symm-mem/162150 2025-09-07T07:28:18.9584097Z * [new tag] ciflow/h100-symm-mem/162243 -> ciflow/h100-symm-mem/162243 2025-09-07T07:28:18.9584867Z * [new tag] ciflow/h100-symm-mem/162320 -> ciflow/h100-symm-mem/162320 2025-09-07T07:28:18.9585580Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-09-07T07:28:18.9586558Z * [new tag] ciflow/h100/160480 -> ciflow/h100/160480 2025-09-07T07:28:18.9587218Z * [new tag] ciflow/h100/161749 -> ciflow/h100/161749 2025-09-07T07:28:18.9587803Z * [new tag] ciflow/h100/162022 -> ciflow/h100/162022 2025-09-07T07:28:18.9588393Z * [new tag] ciflow/h100/162278 -> ciflow/h100/162278 2025-09-07T07:28:18.9589335Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/156592 -> ciflow/inductor-perf-test-nightly-rocm/156592 2025-09-07T07:28:18.9590112Z * [new tag] ciflow/inductor-perf-test-nightly/156592 -> ciflow/inductor-perf-test-nightly/156592 2025-09-07T07:28:18.9590737Z * [new tag] ciflow/inductor-periodic/162063 -> ciflow/inductor-periodic/162063 2025-09-07T07:28:18.9591240Z * [new tag] ciflow/inductor-periodic/162227 -> ciflow/inductor-periodic/162227 2025-09-07T07:28:18.9591854Z * [new tag] ciflow/inductor-periodic/162323 -> ciflow/inductor-periodic/162323 2025-09-07T07:28:18.9592622Z * [new tag] ciflow/inductor-rocm/154170 -> ciflow/inductor-rocm/154170 2025-09-07T07:28:18.9593313Z * [new tag] ciflow/inductor-rocm/159146 -> ciflow/inductor-rocm/159146 2025-09-07T07:28:18.9593796Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-09-07T07:28:18.9594421Z * [new tag] ciflow/inductor-rocm/161715 -> ciflow/inductor-rocm/161715 2025-09-07T07:28:18.9595136Z * [new tag] ciflow/inductor-rocm/162053 -> ciflow/inductor-rocm/162053 2025-09-07T07:28:18.9595863Z * [new tag] ciflow/inductor-rocm/162056 -> ciflow/inductor-rocm/162056 2025-09-07T07:28:18.9596507Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-09-07T07:28:18.9597043Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-09-07T07:28:18.9597524Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-09-07T07:28:18.9598024Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-09-07T07:28:18.9598554Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-09-07T07:28:18.9599053Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-09-07T07:28:18.9599608Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-09-07T07:28:18.9600083Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-09-07T07:28:18.9600609Z * [new tag] ciflow/inductor/156592 -> ciflow/inductor/156592 2025-09-07T07:28:18.9601112Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-09-07T07:28:18.9601677Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-09-07T07:28:18.9602303Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-09-07T07:28:18.9603069Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-09-07T07:28:18.9603743Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-09-07T07:28:18.9604439Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-09-07T07:28:18.9605160Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-09-07T07:28:18.9605686Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-09-07T07:28:18.9606248Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-09-07T07:28:18.9606896Z * [new tag] ciflow/inductor/158404 -> ciflow/inductor/158404 2025-09-07T07:28:18.9607466Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-09-07T07:28:18.9608112Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-09-07T07:28:18.9608685Z * [new tag] ciflow/inductor/159146 -> ciflow/inductor/159146 2025-09-07T07:28:18.9609191Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-09-07T07:28:18.9609874Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-09-07T07:28:18.9610453Z * [new tag] ciflow/inductor/159664 -> ciflow/inductor/159664 2025-09-07T07:28:18.9611148Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-09-07T07:28:18.9611708Z * [new tag] ciflow/inductor/159835 -> ciflow/inductor/159835 2025-09-07T07:28:18.9612367Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-09-07T07:28:18.9613046Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-09-07T07:28:18.9613641Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-09-07T07:28:18.9614343Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-09-07T07:28:18.9615114Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-09-07T07:28:18.9615850Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-09-07T07:28:18.9616592Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-09-07T07:28:18.9617183Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-09-07T07:28:18.9617818Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-09-07T07:28:18.9618437Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-09-07T07:28:18.9618980Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-09-07T07:28:18.9619732Z * [new tag] ciflow/inductor/160532 -> ciflow/inductor/160532 2025-09-07T07:28:18.9620961Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-09-07T07:28:18.9621464Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-09-07T07:28:18.9622004Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-09-07T07:28:18.9622544Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-09-07T07:28:18.9623171Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-09-07T07:28:18.9623719Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-09-07T07:28:18.9624234Z * [new tag] ciflow/inductor/160690 -> ciflow/inductor/160690 2025-09-07T07:28:18.9624783Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-09-07T07:28:18.9625419Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-09-07T07:28:18.9626036Z * [new tag] ciflow/inductor/160798 -> ciflow/inductor/160798 2025-09-07T07:28:18.9626733Z * [new tag] ciflow/inductor/160836 -> ciflow/inductor/160836 2025-09-07T07:28:18.9627223Z * [new tag] ciflow/inductor/160843 -> ciflow/inductor/160843 2025-09-07T07:28:18.9628075Z * [new tag] ciflow/inductor/160869 -> ciflow/inductor/160869 2025-09-07T07:28:18.9628575Z * [new tag] ciflow/inductor/160920 -> ciflow/inductor/160920 2025-09-07T07:28:18.9629115Z * [new tag] ciflow/inductor/160943 -> ciflow/inductor/160943 2025-09-07T07:28:18.9629656Z * [new tag] ciflow/inductor/161092 -> ciflow/inductor/161092 2025-09-07T07:28:18.9630182Z * [new tag] ciflow/inductor/161093 -> ciflow/inductor/161093 2025-09-07T07:28:18.9631087Z * [new tag] ciflow/inductor/161109 -> ciflow/inductor/161109 2025-09-07T07:28:18.9631668Z * [new tag] ciflow/inductor/161118 -> ciflow/inductor/161118 2025-09-07T07:28:18.9632346Z * [new tag] ciflow/inductor/161178 -> ciflow/inductor/161178 2025-09-07T07:28:18.9633002Z * [new tag] ciflow/inductor/161246 -> ciflow/inductor/161246 2025-09-07T07:28:18.9633543Z * [new tag] ciflow/inductor/161349 -> ciflow/inductor/161349 2025-09-07T07:28:18.9634074Z * [new tag] ciflow/inductor/161350 -> ciflow/inductor/161350 2025-09-07T07:28:18.9634636Z * [new tag] ciflow/inductor/161351 -> ciflow/inductor/161351 2025-09-07T07:28:18.9635280Z * [new tag] ciflow/inductor/161397 -> ciflow/inductor/161397 2025-09-07T07:28:18.9635801Z * [new tag] ciflow/inductor/161404 -> ciflow/inductor/161404 2025-09-07T07:28:18.9636363Z * [new tag] ciflow/inductor/161405 -> ciflow/inductor/161405 2025-09-07T07:28:18.9636939Z * [new tag] ciflow/inductor/161406 -> ciflow/inductor/161406 2025-09-07T07:28:18.9637648Z * [new tag] ciflow/inductor/161410 -> ciflow/inductor/161410 2025-09-07T07:28:18.9638197Z * [new tag] ciflow/inductor/161414 -> ciflow/inductor/161414 2025-09-07T07:28:18.9639034Z * [new tag] ciflow/inductor/161442 -> ciflow/inductor/161442 2025-09-07T07:28:18.9639574Z * [new tag] ciflow/inductor/161458 -> ciflow/inductor/161458 2025-09-07T07:28:18.9640109Z * [new tag] ciflow/inductor/161468 -> ciflow/inductor/161468 2025-09-07T07:28:18.9640627Z * [new tag] ciflow/inductor/161469 -> ciflow/inductor/161469 2025-09-07T07:28:18.9641273Z * [new tag] ciflow/inductor/161485 -> ciflow/inductor/161485 2025-09-07T07:28:18.9641871Z * [new tag] ciflow/inductor/161499 -> ciflow/inductor/161499 2025-09-07T07:28:18.9642377Z * [new tag] ciflow/inductor/161534 -> ciflow/inductor/161534 2025-09-07T07:28:18.9642960Z * [new tag] ciflow/inductor/161595 -> ciflow/inductor/161595 2025-09-07T07:28:18.9643463Z * [new tag] ciflow/inductor/161596 -> ciflow/inductor/161596 2025-09-07T07:28:18.9644519Z * [new tag] ciflow/inductor/161630 -> ciflow/inductor/161630 2025-09-07T07:28:18.9645088Z * [new tag] ciflow/inductor/161667 -> ciflow/inductor/161667 2025-09-07T07:28:18.9645667Z * [new tag] ciflow/inductor/161670 -> ciflow/inductor/161670 2025-09-07T07:28:18.9646219Z * [new tag] ciflow/inductor/161673 -> ciflow/inductor/161673 2025-09-07T07:28:18.9646721Z * [new tag] ciflow/inductor/161674 -> ciflow/inductor/161674 2025-09-07T07:28:18.9647362Z * [new tag] ciflow/inductor/161675 -> ciflow/inductor/161675 2025-09-07T07:28:18.9647804Z * [new tag] ciflow/inductor/161693 -> ciflow/inductor/161693 2025-09-07T07:28:18.9648389Z * [new tag] ciflow/inductor/161695 -> ciflow/inductor/161695 2025-09-07T07:28:18.9648926Z * [new tag] ciflow/inductor/161715 -> ciflow/inductor/161715 2025-09-07T07:28:18.9649420Z * [new tag] ciflow/inductor/161730 -> ciflow/inductor/161730 2025-09-07T07:28:18.9649998Z * [new tag] ciflow/inductor/161732 -> ciflow/inductor/161732 2025-09-07T07:28:18.9650649Z * [new tag] ciflow/inductor/161744 -> ciflow/inductor/161744 2025-09-07T07:28:18.9651155Z * [new tag] ciflow/inductor/161746 -> ciflow/inductor/161746 2025-09-07T07:28:18.9651740Z * [new tag] ciflow/inductor/161747 -> ciflow/inductor/161747 2025-09-07T07:28:18.9652250Z * [new tag] ciflow/inductor/161819 -> ciflow/inductor/161819 2025-09-07T07:28:18.9652798Z * [new tag] ciflow/inductor/161821 -> ciflow/inductor/161821 2025-09-07T07:28:18.9653440Z * [new tag] ciflow/inductor/161828 -> ciflow/inductor/161828 2025-09-07T07:28:18.9653946Z * [new tag] ciflow/inductor/161879 -> ciflow/inductor/161879 2025-09-07T07:28:18.9654528Z * [new tag] ciflow/inductor/161880 -> ciflow/inductor/161880 2025-09-07T07:28:18.9655075Z * [new tag] ciflow/inductor/161881 -> ciflow/inductor/161881 2025-09-07T07:28:18.9655707Z * [new tag] ciflow/inductor/161907 -> ciflow/inductor/161907 2025-09-07T07:28:18.9656261Z * [new tag] ciflow/inductor/161914 -> ciflow/inductor/161914 2025-09-07T07:28:18.9656928Z * [new tag] ciflow/inductor/161924 -> ciflow/inductor/161924 2025-09-07T07:28:18.9657569Z * [new tag] ciflow/inductor/161936 -> ciflow/inductor/161936 2025-09-07T07:28:18.9658108Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-09-07T07:28:18.9658642Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-09-07T07:28:18.9659222Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-09-07T07:28:18.9659726Z * [new tag] ciflow/inductor/161955 -> ciflow/inductor/161955 2025-09-07T07:28:18.9660292Z * [new tag] ciflow/inductor/161957 -> ciflow/inductor/161957 2025-09-07T07:28:18.9660822Z * [new tag] ciflow/inductor/161975 -> ciflow/inductor/161975 2025-09-07T07:28:18.9661373Z * [new tag] ciflow/inductor/161977 -> ciflow/inductor/161977 2025-09-07T07:28:18.9670469Z * [new tag] ciflow/inductor/161978 -> ciflow/inductor/161978 2025-09-07T07:28:18.9670738Z * [new tag] ciflow/inductor/161979 -> ciflow/inductor/161979 2025-09-07T07:28:18.9670915Z * [new tag] ciflow/inductor/161980 -> ciflow/inductor/161980 2025-09-07T07:28:18.9671080Z * [new tag] ciflow/inductor/161988 -> ciflow/inductor/161988 2025-09-07T07:28:18.9671239Z * [new tag] ciflow/inductor/161994 -> ciflow/inductor/161994 2025-09-07T07:28:18.9671395Z * [new tag] ciflow/inductor/162013 -> ciflow/inductor/162013 2025-09-07T07:28:18.9671557Z * [new tag] ciflow/inductor/162014 -> ciflow/inductor/162014 2025-09-07T07:28:18.9671715Z * [new tag] ciflow/inductor/162017 -> ciflow/inductor/162017 2025-09-07T07:28:18.9671875Z * [new tag] ciflow/inductor/162021 -> ciflow/inductor/162021 2025-09-07T07:28:18.9672037Z * [new tag] ciflow/inductor/162023 -> ciflow/inductor/162023 2025-09-07T07:28:18.9672197Z * [new tag] ciflow/inductor/162027 -> ciflow/inductor/162027 2025-09-07T07:28:18.9672565Z * [new tag] ciflow/inductor/162029 -> ciflow/inductor/162029 2025-09-07T07:28:18.9672731Z * [new tag] ciflow/inductor/162030 -> ciflow/inductor/162030 2025-09-07T07:28:18.9672894Z * [new tag] ciflow/inductor/162031 -> ciflow/inductor/162031 2025-09-07T07:28:18.9673051Z * [new tag] ciflow/inductor/162033 -> ciflow/inductor/162033 2025-09-07T07:28:18.9673211Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-09-07T07:28:18.9673378Z * [new tag] ciflow/inductor/162053 -> ciflow/inductor/162053 2025-09-07T07:28:18.9673539Z * [new tag] ciflow/inductor/162056 -> ciflow/inductor/162056 2025-09-07T07:28:18.9673701Z * [new tag] ciflow/inductor/162063 -> ciflow/inductor/162063 2025-09-07T07:28:18.9673857Z * [new tag] ciflow/inductor/162066 -> ciflow/inductor/162066 2025-09-07T07:28:18.9674021Z * [new tag] ciflow/inductor/162068 -> ciflow/inductor/162068 2025-09-07T07:28:18.9674183Z * [new tag] ciflow/inductor/162081 -> ciflow/inductor/162081 2025-09-07T07:28:18.9674664Z * [new tag] ciflow/inductor/162088 -> ciflow/inductor/162088 2025-09-07T07:28:18.9675176Z * [new tag] ciflow/inductor/162089 -> ciflow/inductor/162089 2025-09-07T07:28:18.9675731Z * [new tag] ciflow/inductor/162094 -> ciflow/inductor/162094 2025-09-07T07:28:18.9676486Z * [new tag] ciflow/inductor/162098 -> ciflow/inductor/162098 2025-09-07T07:28:18.9676853Z * [new tag] ciflow/inductor/162101 -> ciflow/inductor/162101 2025-09-07T07:28:18.9677427Z * [new tag] ciflow/inductor/162102 -> ciflow/inductor/162102 2025-09-07T07:28:18.9677948Z * [new tag] ciflow/inductor/162104 -> ciflow/inductor/162104 2025-09-07T07:28:18.9678492Z * [new tag] ciflow/inductor/162106 -> ciflow/inductor/162106 2025-09-07T07:28:18.9679034Z * [new tag] ciflow/inductor/162108 -> ciflow/inductor/162108 2025-09-07T07:28:18.9679557Z * [new tag] ciflow/inductor/162126 -> ciflow/inductor/162126 2025-09-07T07:28:18.9680188Z * [new tag] ciflow/inductor/162149 -> ciflow/inductor/162149 2025-09-07T07:28:18.9680681Z * [new tag] ciflow/inductor/162164 -> ciflow/inductor/162164 2025-09-07T07:28:18.9681287Z * [new tag] ciflow/inductor/162166 -> ciflow/inductor/162166 2025-09-07T07:28:18.9681839Z * [new tag] ciflow/inductor/162169 -> ciflow/inductor/162169 2025-09-07T07:28:18.9682417Z * [new tag] ciflow/inductor/162170 -> ciflow/inductor/162170 2025-09-07T07:28:18.9682927Z * [new tag] ciflow/inductor/162171 -> ciflow/inductor/162171 2025-09-07T07:28:18.9683508Z * [new tag] ciflow/inductor/162183 -> ciflow/inductor/162183 2025-09-07T07:28:18.9684025Z * [new tag] ciflow/inductor/162189 -> ciflow/inductor/162189 2025-09-07T07:28:18.9684563Z * [new tag] ciflow/inductor/162190 -> ciflow/inductor/162190 2025-09-07T07:28:18.9685141Z * [new tag] ciflow/inductor/162191 -> ciflow/inductor/162191 2025-09-07T07:28:18.9685686Z * [new tag] ciflow/inductor/162194 -> ciflow/inductor/162194 2025-09-07T07:28:18.9686333Z * [new tag] ciflow/inductor/162200 -> ciflow/inductor/162200 2025-09-07T07:28:18.9686884Z * [new tag] ciflow/inductor/162201 -> ciflow/inductor/162201 2025-09-07T07:28:18.9687511Z * [new tag] ciflow/inductor/162208 -> ciflow/inductor/162208 2025-09-07T07:28:18.9688248Z * [new tag] ciflow/inductor/162211 -> ciflow/inductor/162211 2025-09-07T07:28:18.9688864Z * [new tag] ciflow/inductor/162216 -> ciflow/inductor/162216 2025-09-07T07:28:18.9689329Z * [new tag] ciflow/inductor/162220 -> ciflow/inductor/162220 2025-09-07T07:28:18.9690001Z * [new tag] ciflow/inductor/162222 -> ciflow/inductor/162222 2025-09-07T07:28:18.9690515Z * [new tag] ciflow/inductor/162227 -> ciflow/inductor/162227 2025-09-07T07:28:18.9691090Z * [new tag] ciflow/inductor/162238 -> ciflow/inductor/162238 2025-09-07T07:28:18.9691667Z * [new tag] ciflow/inductor/162239 -> ciflow/inductor/162239 2025-09-07T07:28:18.9692196Z * [new tag] ciflow/inductor/162240 -> ciflow/inductor/162240 2025-09-07T07:28:18.9692721Z * [new tag] ciflow/inductor/162244 -> ciflow/inductor/162244 2025-09-07T07:28:18.9693290Z * [new tag] ciflow/inductor/162245 -> ciflow/inductor/162245 2025-09-07T07:28:18.9693879Z * [new tag] ciflow/inductor/162262 -> ciflow/inductor/162262 2025-09-07T07:28:18.9694385Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-09-07T07:28:18.9694931Z * [new tag] ciflow/inductor/162278 -> ciflow/inductor/162278 2025-09-07T07:28:18.9695447Z * [new tag] ciflow/inductor/162284 -> ciflow/inductor/162284 2025-09-07T07:28:18.9696016Z * [new tag] ciflow/inductor/162286 -> ciflow/inductor/162286 2025-09-07T07:28:18.9696579Z * [new tag] ciflow/inductor/162288 -> ciflow/inductor/162288 2025-09-07T07:28:18.9697120Z * [new tag] ciflow/inductor/162293 -> ciflow/inductor/162293 2025-09-07T07:28:18.9697696Z * [new tag] ciflow/inductor/162294 -> ciflow/inductor/162294 2025-09-07T07:28:18.9698230Z * [new tag] ciflow/inductor/162295 -> ciflow/inductor/162295 2025-09-07T07:28:18.9698826Z * [new tag] ciflow/inductor/162296 -> ciflow/inductor/162296 2025-09-07T07:28:18.9699461Z * [new tag] ciflow/inductor/162298 -> ciflow/inductor/162298 2025-09-07T07:28:18.9700001Z * [new tag] ciflow/inductor/162307 -> ciflow/inductor/162307 2025-09-07T07:28:18.9700547Z * [new tag] ciflow/inductor/162309 -> ciflow/inductor/162309 2025-09-07T07:28:18.9701071Z * [new tag] ciflow/inductor/162311 -> ciflow/inductor/162311 2025-09-07T07:28:18.9701677Z * [new tag] ciflow/inductor/162312 -> ciflow/inductor/162312 2025-09-07T07:28:18.9702186Z * [new tag] ciflow/inductor/162315 -> ciflow/inductor/162315 2025-09-07T07:28:18.9702762Z * [new tag] ciflow/inductor/162316 -> ciflow/inductor/162316 2025-09-07T07:28:18.9703302Z * [new tag] ciflow/inductor/162318 -> ciflow/inductor/162318 2025-09-07T07:28:18.9703818Z * [new tag] ciflow/inductor/162323 -> ciflow/inductor/162323 2025-09-07T07:28:18.9704611Z * [new tag] ciflow/inductor/162341 -> ciflow/inductor/162341 2025-09-07T07:28:18.9705141Z * [new tag] ciflow/inductor/162345 -> ciflow/inductor/162345 2025-09-07T07:28:18.9705911Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-09-07T07:28:18.9706636Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-09-07T07:28:18.9707318Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-09-07T07:28:18.9708070Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-09-07T07:28:18.9708554Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-09-07T07:28:18.9709088Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-09-07T07:28:18.9709717Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-09-07T07:28:18.9710279Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-09-07T07:28:18.9710726Z * [new tag] ciflow/mps/161988 -> ciflow/mps/161988 2025-09-07T07:28:18.9711190Z * [new tag] ciflow/mps/162108 -> ciflow/mps/162108 2025-09-07T07:28:18.9711733Z * [new tag] ciflow/mps/162153 -> ciflow/mps/162153 2025-09-07T07:28:18.9712236Z * [new tag] ciflow/mps/162281 -> ciflow/mps/162281 2025-09-07T07:28:18.9712927Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-09-07T07:28:18.9713429Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-09-07T07:28:18.9714054Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-09-07T07:28:18.9714925Z * [new tag] ciflow/periodic-rocm-mi300/161529 -> ciflow/periodic-rocm-mi300/161529 2025-09-07T07:28:18.9715496Z * [new tag] ciflow/periodic-rocm-mi300/161715 -> ciflow/periodic-rocm-mi300/161715 2025-09-07T07:28:18.9716316Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-09-07T07:28:18.9716813Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-09-07T07:28:18.9717282Z * [new tag] ciflow/periodic/161715 -> ciflow/periodic/161715 2025-09-07T07:28:18.9717814Z * [new tag] ciflow/periodic/162021 -> ciflow/periodic/162021 2025-09-07T07:28:18.9718281Z * [new tag] ciflow/periodic/162323 -> ciflow/periodic/162323 2025-09-07T07:28:18.9719007Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-09-07T07:28:18.9719669Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-09-07T07:28:18.9720305Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-09-07T07:28:18.9721023Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-09-07T07:28:18.9721735Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-09-07T07:28:18.9722890Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-09-07T07:28:18.9723810Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-09-07T07:28:18.9724613Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-09-07T07:28:18.9725396Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-09-07T07:28:18.9726236Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-09-07T07:28:18.9727082Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-09-07T07:28:18.9727764Z * [new tag] ciflow/rocm-mi300/154170 -> ciflow/rocm-mi300/154170 2025-09-07T07:28:18.9728397Z * [new tag] ciflow/rocm-mi300/158747 -> ciflow/rocm-mi300/158747 2025-09-07T07:28:18.9728907Z * [new tag] ciflow/rocm-mi300/159146 -> ciflow/rocm-mi300/159146 2025-09-07T07:28:18.9729387Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-09-07T07:28:18.9729934Z * [new tag] ciflow/rocm-mi300/161715 -> ciflow/rocm-mi300/161715 2025-09-07T07:28:18.9730412Z * [new tag] ciflow/rocm-mi300/161957 -> ciflow/rocm-mi300/161957 2025-09-07T07:28:18.9730952Z * [new tag] ciflow/rocm-mi300/162053 -> ciflow/rocm-mi300/162053 2025-09-07T07:28:18.9731465Z * [new tag] ciflow/rocm-mi300/162056 -> ciflow/rocm-mi300/162056 2025-09-07T07:28:18.9732069Z * [new tag] ciflow/rocm-mi300/162112 -> ciflow/rocm-mi300/162112 2025-09-07T07:28:18.9732596Z * [new tag] ciflow/rocm-mi300/162245 -> ciflow/rocm-mi300/162245 2025-09-07T07:28:18.9733184Z * [new tag] ciflow/rocm-mi300/162278 -> ciflow/rocm-mi300/162278 2025-09-07T07:28:18.9733859Z * [new tag] ciflow/rocm-mi300/162288 -> ciflow/rocm-mi300/162288 2025-09-07T07:28:18.9734574Z * [new tag] ciflow/rocm-mi355/162053 -> ciflow/rocm-mi355/162053 2025-09-07T07:28:18.9735093Z * [new tag] ciflow/rocm-mi355/162056 -> ciflow/rocm-mi355/162056 2025-09-07T07:28:18.9735750Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-09-07T07:28:18.9736262Z * [new tag] ciflow/rocm/154170 -> ciflow/rocm/154170 2025-09-07T07:28:18.9736927Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-09-07T07:28:18.9737481Z * [new tag] ciflow/rocm/156592 -> ciflow/rocm/156592 2025-09-07T07:28:18.9737982Z * [new tag] ciflow/rocm/158747 -> ciflow/rocm/158747 2025-09-07T07:28:18.9738473Z * [new tag] ciflow/rocm/159146 -> ciflow/rocm/159146 2025-09-07T07:28:18.9739179Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-09-07T07:28:18.9739740Z * [new tag] ciflow/rocm/161715 -> ciflow/rocm/161715 2025-09-07T07:28:18.9740297Z * [new tag] ciflow/rocm/161972 -> ciflow/rocm/161972 2025-09-07T07:28:18.9740811Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-09-07T07:28:18.9741339Z * [new tag] ciflow/rocm/162053 -> ciflow/rocm/162053 2025-09-07T07:28:18.9742029Z * [new tag] ciflow/rocm/162056 -> ciflow/rocm/162056 2025-09-07T07:28:18.9742780Z * [new tag] ciflow/rocm/162112 -> ciflow/rocm/162112 2025-09-07T07:28:18.9743404Z * [new tag] ciflow/rocm/162278 -> ciflow/rocm/162278 2025-09-07T07:28:18.9743955Z * [new tag] ciflow/rocm/162288 -> ciflow/rocm/162288 2025-09-07T07:28:18.9744498Z * [new tag] ciflow/rocm/162305 -> ciflow/rocm/162305 2025-09-07T07:28:18.9745389Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-09-07T07:28:18.9746144Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-09-07T07:28:18.9747202Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-09-07T07:28:18.9747593Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-09-07T07:28:18.9748159Z * [new tag] ciflow/slow/161395 -> ciflow/slow/161395 2025-09-07T07:28:18.9748782Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-09-07T07:28:18.9749526Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-09-07T07:28:18.9750185Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-09-07T07:28:18.9751050Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-09-07T07:28:18.9751865Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-09-07T07:28:18.9752576Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-09-07T07:28:18.9753297Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-09-07T07:28:18.9753988Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-09-07T07:28:18.9755080Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-09-07T07:28:18.9755462Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-09-07T07:28:18.9756153Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-09-07T07:28:18.9756907Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-09-07T07:28:18.9757494Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-09-07T07:28:18.9758192Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-09-07T07:28:18.9759275Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-09-07T07:28:18.9759838Z * [new tag] ciflow/triton_binaries/162329 -> ciflow/triton_binaries/162329 2025-09-07T07:28:18.9760402Z * [new tag] ciflow/trunk/113258 -> ciflow/trunk/113258 2025-09-07T07:28:18.9760922Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-09-07T07:28:18.9761482Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-09-07T07:28:18.9761983Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-09-07T07:28:18.9762453Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-09-07T07:28:18.9763215Z * [new tag] ciflow/trunk/148919 -> ciflow/trunk/148919 2025-09-07T07:28:18.9763701Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-09-07T07:28:18.9765674Z * [new tag] ciflow/trunk/154170 -> ciflow/trunk/154170 2025-09-07T07:28:18.9766261Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-09-07T07:28:18.9766820Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-09-07T07:28:18.9767284Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-09-07T07:28:18.9768020Z * [new tag] ciflow/trunk/156711 -> ciflow/trunk/156711 2025-09-07T07:28:18.9768739Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-09-07T07:28:18.9769382Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-09-07T07:28:18.9769974Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-09-07T07:28:18.9770500Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-09-07T07:28:18.9771034Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-09-07T07:28:18.9771572Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-09-07T07:28:18.9772135Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-09-07T07:28:18.9772672Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-09-07T07:28:18.9773260Z * [new tag] ciflow/trunk/158404 -> ciflow/trunk/158404 2025-09-07T07:28:18.9773873Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-09-07T07:28:18.9774639Z * [new tag] ciflow/trunk/158846 -> ciflow/trunk/158846 2025-09-07T07:28:18.9775159Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-09-07T07:28:18.9775838Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-09-07T07:28:18.9776379Z * [new tag] ciflow/trunk/159835 -> ciflow/trunk/159835 2025-09-07T07:28:18.9776872Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-09-07T07:28:18.9777453Z * [new tag] ciflow/trunk/160236 -> ciflow/trunk/160236 2025-09-07T07:28:18.9777960Z * [new tag] ciflow/trunk/160329 -> ciflow/trunk/160329 2025-09-07T07:28:18.9778481Z * [new tag] ciflow/trunk/160480 -> ciflow/trunk/160480 2025-09-07T07:28:18.9779048Z * [new tag] ciflow/trunk/160532 -> ciflow/trunk/160532 2025-09-07T07:28:18.9779621Z * [new tag] ciflow/trunk/160836 -> ciflow/trunk/160836 2025-09-07T07:28:18.9780302Z * [new tag] ciflow/trunk/160843 -> ciflow/trunk/160843 2025-09-07T07:28:18.9780655Z * [new tag] ciflow/trunk/160869 -> ciflow/trunk/160869 2025-09-07T07:28:18.9781350Z * [new tag] ciflow/trunk/160940 -> ciflow/trunk/160940 2025-09-07T07:28:18.9781886Z * [new tag] ciflow/trunk/160943 -> ciflow/trunk/160943 2025-09-07T07:28:18.9782602Z * [new tag] ciflow/trunk/160953 -> ciflow/trunk/160953 2025-09-07T07:28:18.9783296Z * [new tag] ciflow/trunk/161035 -> ciflow/trunk/161035 2025-09-07T07:28:18.9783873Z * [new tag] ciflow/trunk/161178 -> ciflow/trunk/161178 2025-09-07T07:28:18.9784385Z * [new tag] ciflow/trunk/161349 -> ciflow/trunk/161349 2025-09-07T07:28:18.9784917Z * [new tag] ciflow/trunk/161350 -> ciflow/trunk/161350 2025-09-07T07:28:18.9785510Z * [new tag] ciflow/trunk/161351 -> ciflow/trunk/161351 2025-09-07T07:28:18.9786044Z * [new tag] ciflow/trunk/161395 -> ciflow/trunk/161395 2025-09-07T07:28:18.9786554Z * [new tag] ciflow/trunk/161405 -> ciflow/trunk/161405 2025-09-07T07:28:18.9787087Z * [new tag] ciflow/trunk/161406 -> ciflow/trunk/161406 2025-09-07T07:28:18.9787629Z * [new tag] ciflow/trunk/161410 -> ciflow/trunk/161410 2025-09-07T07:28:18.9788165Z * [new tag] ciflow/trunk/161468 -> ciflow/trunk/161468 2025-09-07T07:28:18.9788783Z * [new tag] ciflow/trunk/161499 -> ciflow/trunk/161499 2025-09-07T07:28:18.9789576Z * [new tag] ciflow/trunk/161527 -> ciflow/trunk/161527 2025-09-07T07:28:18.9790150Z * [new tag] ciflow/trunk/161534 -> ciflow/trunk/161534 2025-09-07T07:28:18.9790722Z * [new tag] ciflow/trunk/161591 -> ciflow/trunk/161591 2025-09-07T07:28:18.9791264Z * [new tag] ciflow/trunk/161595 -> ciflow/trunk/161595 2025-09-07T07:28:18.9791883Z * [new tag] ciflow/trunk/161596 -> ciflow/trunk/161596 2025-09-07T07:28:18.9792419Z * [new tag] ciflow/trunk/161633 -> ciflow/trunk/161633 2025-09-07T07:28:18.9792955Z * [new tag] ciflow/trunk/161634 -> ciflow/trunk/161634 2025-09-07T07:28:18.9793472Z * [new tag] ciflow/trunk/161635 -> ciflow/trunk/161635 2025-09-07T07:28:18.9794042Z * [new tag] ciflow/trunk/161667 -> ciflow/trunk/161667 2025-09-07T07:28:18.9794539Z * [new tag] ciflow/trunk/161670 -> ciflow/trunk/161670 2025-09-07T07:28:18.9795088Z * [new tag] ciflow/trunk/161692 -> ciflow/trunk/161692 2025-09-07T07:28:18.9795742Z * [new tag] ciflow/trunk/161693 -> ciflow/trunk/161693 2025-09-07T07:28:18.9796280Z * [new tag] ciflow/trunk/161695 -> ciflow/trunk/161695 2025-09-07T07:28:18.9796814Z * [new tag] ciflow/trunk/161730 -> ciflow/trunk/161730 2025-09-07T07:28:18.9797552Z * [new tag] ciflow/trunk/161744 -> ciflow/trunk/161744 2025-09-07T07:28:18.9798119Z * [new tag] ciflow/trunk/161749 -> ciflow/trunk/161749 2025-09-07T07:28:18.9798674Z * [new tag] ciflow/trunk/161881 -> ciflow/trunk/161881 2025-09-07T07:28:18.9799225Z * [new tag] ciflow/trunk/161924 -> ciflow/trunk/161924 2025-09-07T07:28:18.9799933Z * [new tag] ciflow/trunk/161926 -> ciflow/trunk/161926 2025-09-07T07:28:18.9800491Z * [new tag] ciflow/trunk/161936 -> ciflow/trunk/161936 2025-09-07T07:28:18.9801022Z * [new tag] ciflow/trunk/161952 -> ciflow/trunk/161952 2025-09-07T07:28:18.9801653Z * [new tag] ciflow/trunk/161955 -> ciflow/trunk/161955 2025-09-07T07:28:18.9802120Z * [new tag] ciflow/trunk/161957 -> ciflow/trunk/161957 2025-09-07T07:28:18.9802712Z * [new tag] ciflow/trunk/161959 -> ciflow/trunk/161959 2025-09-07T07:28:18.9803239Z * [new tag] ciflow/trunk/161977 -> ciflow/trunk/161977 2025-09-07T07:28:18.9803741Z * [new tag] ciflow/trunk/161988 -> ciflow/trunk/161988 2025-09-07T07:28:18.9804285Z * [new tag] ciflow/trunk/161994 -> ciflow/trunk/161994 2025-09-07T07:28:18.9804990Z * [new tag] ciflow/trunk/162007 -> ciflow/trunk/162007 2025-09-07T07:28:18.9805540Z * [new tag] ciflow/trunk/162013 -> ciflow/trunk/162013 2025-09-07T07:28:18.9806046Z * [new tag] ciflow/trunk/162017 -> ciflow/trunk/162017 2025-09-07T07:28:18.9806634Z * [new tag] ciflow/trunk/162021 -> ciflow/trunk/162021 2025-09-07T07:28:18.9807161Z * [new tag] ciflow/trunk/162022 -> ciflow/trunk/162022 2025-09-07T07:28:18.9807728Z * [new tag] ciflow/trunk/162040 -> ciflow/trunk/162040 2025-09-07T07:28:18.9808270Z * [new tag] ciflow/trunk/162041 -> ciflow/trunk/162041 2025-09-07T07:28:18.9808937Z * [new tag] ciflow/trunk/162062 -> ciflow/trunk/162062 2025-09-07T07:28:18.9809453Z * [new tag] ciflow/trunk/162066 -> ciflow/trunk/162066 2025-09-07T07:28:18.9810056Z * [new tag] ciflow/trunk/162089 -> ciflow/trunk/162089 2025-09-07T07:28:18.9810648Z * [new tag] ciflow/trunk/162099 -> ciflow/trunk/162099 2025-09-07T07:28:18.9811168Z * [new tag] ciflow/trunk/162104 -> ciflow/trunk/162104 2025-09-07T07:28:18.9811710Z * [new tag] ciflow/trunk/162106 -> ciflow/trunk/162106 2025-09-07T07:28:18.9812294Z * [new tag] ciflow/trunk/162112 -> ciflow/trunk/162112 2025-09-07T07:28:18.9812817Z * [new tag] ciflow/trunk/162119 -> ciflow/trunk/162119 2025-09-07T07:28:18.9813349Z * [new tag] ciflow/trunk/162142 -> ciflow/trunk/162142 2025-09-07T07:28:18.9813897Z * [new tag] ciflow/trunk/162169 -> ciflow/trunk/162169 2025-09-07T07:28:18.9814441Z * [new tag] ciflow/trunk/162183 -> ciflow/trunk/162183 2025-09-07T07:28:18.9815026Z * [new tag] ciflow/trunk/162190 -> ciflow/trunk/162190 2025-09-07T07:28:18.9815552Z * [new tag] ciflow/trunk/162194 -> ciflow/trunk/162194 2025-09-07T07:28:18.9816093Z * [new tag] ciflow/trunk/162200 -> ciflow/trunk/162200 2025-09-07T07:28:18.9816664Z * [new tag] ciflow/trunk/162206 -> ciflow/trunk/162206 2025-09-07T07:28:18.9817218Z * [new tag] ciflow/trunk/162208 -> ciflow/trunk/162208 2025-09-07T07:28:18.9817737Z * [new tag] ciflow/trunk/162222 -> ciflow/trunk/162222 2025-09-07T07:28:18.9818319Z * [new tag] ciflow/trunk/162238 -> ciflow/trunk/162238 2025-09-07T07:28:18.9818867Z * [new tag] ciflow/trunk/162244 -> ciflow/trunk/162244 2025-09-07T07:28:18.9819583Z * [new tag] ciflow/trunk/162267 -> ciflow/trunk/162267 2025-09-07T07:28:18.9820244Z * [new tag] ciflow/trunk/162269 -> ciflow/trunk/162269 2025-09-07T07:28:18.9820816Z * [new tag] ciflow/trunk/162278 -> ciflow/trunk/162278 2025-09-07T07:28:18.9821362Z * [new tag] ciflow/trunk/162286 -> ciflow/trunk/162286 2025-09-07T07:28:18.9821864Z * [new tag] ciflow/trunk/162288 -> ciflow/trunk/162288 2025-09-07T07:28:18.9822399Z * [new tag] ciflow/trunk/162293 -> ciflow/trunk/162293 2025-09-07T07:28:18.9823049Z * [new tag] ciflow/trunk/162310 -> ciflow/trunk/162310 2025-09-07T07:28:18.9823596Z * [new tag] ciflow/trunk/162311 -> ciflow/trunk/162311 2025-09-07T07:28:18.9824100Z * [new tag] ciflow/trunk/162315 -> ciflow/trunk/162315 2025-09-07T07:28:18.9824637Z * [new tag] ciflow/trunk/162325 -> ciflow/trunk/162325 2025-09-07T07:28:18.9825367Z * [new tag] ciflow/trunk/162328 -> ciflow/trunk/162328 2025-09-07T07:28:18.9825973Z * [new tag] ciflow/trunk/162329 -> ciflow/trunk/162329 2025-09-07T07:28:18.9826846Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-09-07T07:28:18.9827591Z * [new tag] ciflow/vllm/162292 -> ciflow/vllm/162292 2025-09-07T07:28:18.9828285Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-09-07T07:28:18.9828799Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-09-07T07:28:18.9829407Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-09-07T07:28:18.9829873Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-09-07T07:28:18.9830596Z * [new tag] ciflow/xpu/159459 -> ciflow/xpu/159459 2025-09-07T07:28:18.9831151Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-09-07T07:28:18.9831689Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-09-07T07:28:18.9832256Z * [new tag] ciflow/xpu/160867 -> ciflow/xpu/160867 2025-09-07T07:28:18.9832861Z * [new tag] ciflow/xpu/160938 -> ciflow/xpu/160938 2025-09-07T07:28:18.9833373Z * [new tag] ciflow/xpu/160940 -> ciflow/xpu/160940 2025-09-07T07:28:18.9833915Z * [new tag] ciflow/xpu/160953 -> ciflow/xpu/160953 2025-09-07T07:28:18.9834506Z * [new tag] ciflow/xpu/161045 -> ciflow/xpu/161045 2025-09-07T07:28:18.9835224Z * [new tag] ciflow/xpu/161058 -> ciflow/xpu/161058 2025-09-07T07:28:18.9835968Z * [new tag] ciflow/xpu/161246 -> ciflow/xpu/161246 2025-09-07T07:28:18.9836636Z * [new tag] ciflow/xpu/161397 -> ciflow/xpu/161397 2025-09-07T07:28:18.9837334Z * [new tag] ciflow/xpu/161485 -> ciflow/xpu/161485 2025-09-07T07:28:18.9838032Z * [new tag] ciflow/xpu/161988 -> ciflow/xpu/161988 2025-09-07T07:28:18.9838604Z * [new tag] ciflow/xpu/162062 -> ciflow/xpu/162062 2025-09-07T07:28:18.9839221Z * [new tag] cslpull75 -> cslpull75 2025-09-07T07:28:18.9839832Z * [new tag] cslpull76 -> cslpull76 2025-09-07T07:28:18.9840516Z * [new tag] cslpull77 -> cslpull77 2025-09-07T07:28:18.9841120Z * [new tag] cslpull78 -> cslpull78 2025-09-07T07:28:18.9841943Z * [new tag] cslpull79 -> cslpull79 2025-09-07T07:28:18.9842819Z * [new tag] cslpull80 -> cslpull80 2025-09-07T07:28:18.9843447Z * [new tag] cslpull81 -> cslpull81 2025-09-07T07:28:18.9844078Z * [new tag] cslpull82 -> cslpull82 2025-09-07T07:28:18.9844757Z * [new tag] cslpull83 -> cslpull83 2025-09-07T07:28:18.9845409Z * [new tag] cslpull84 -> cslpull84 2025-09-07T07:28:18.9846032Z * [new tag] cslpull85 -> cslpull85 2025-09-07T07:28:18.9846770Z * [new tag] cslpull86 -> cslpull86 2025-09-07T07:28:18.9847409Z * [new tag] cslpull87 -> cslpull87 2025-09-07T07:28:18.9848216Z * [new tag] cslpull88 -> cslpull88 2025-09-07T07:28:18.9848772Z * [new tag] cslpull89 -> cslpull89 2025-09-07T07:28:18.9849255Z * [new tag] cslpull90 -> cslpull90 2025-09-07T07:28:18.9850307Z * [new tag] cslpull91 -> cslpull91 2025-09-07T07:28:18.9850947Z * [new tag] cslpull92 -> cslpull92 2025-09-07T07:28:18.9851575Z * [new tag] flight_5 -> flight_5 2025-09-07T07:28:18.9852269Z * [new tag] flight_5.1 -> flight_5.1 2025-09-07T07:28:18.9852992Z * [new tag] flight_5.2 -> flight_5.2 2025-09-07T07:28:18.9853576Z * [new tag] flight_5.3 -> flight_5.3 2025-09-07T07:28:18.9854220Z * [new tag] forpull1 -> forpull1 2025-09-07T07:28:18.9855070Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-09-07T07:28:18.9855724Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-09-07T07:28:18.9856373Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-09-07T07:28:18.9857102Z * [new tag] nightly-binary -> nightly-binary 2025-09-07T07:28:18.9857688Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-09-07T07:28:18.9858376Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-09-07T07:28:18.9859475Z * [new tag] trunk/00636e0171e7e733628c408084805442270cf608 -> trunk/00636e0171e7e733628c408084805442270cf608 2025-09-07T07:28:18.9860189Z * [new tag] trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 -> trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 2025-09-07T07:28:18.9861014Z * [new tag] trunk/01ab325cc2e0dc221af4d710974e1b9175066544 -> trunk/01ab325cc2e0dc221af4d710974e1b9175066544 2025-09-07T07:28:18.9861890Z * [new tag] trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b -> trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b 2025-09-07T07:28:18.9862571Z * [new tag] trunk/040d00af048967dde7938d358d7f5988cbd18388 -> trunk/040d00af048967dde7938d358d7f5988cbd18388 2025-09-07T07:28:18.9863337Z * [new tag] trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 -> trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 2025-09-07T07:28:18.9864154Z * [new tag] trunk/047603d35bdc70046216384838d6340feab79bf4 -> trunk/047603d35bdc70046216384838d6340feab79bf4 2025-09-07T07:28:18.9864938Z * [new tag] trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 -> trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 2025-09-07T07:28:18.9865807Z * [new tag] trunk/081cab045472ce045634548cc6c14a4870641e23 -> trunk/081cab045472ce045634548cc6c14a4870641e23 2025-09-07T07:28:18.9866464Z * [new tag] trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 -> trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 2025-09-07T07:28:18.9867130Z * [new tag] trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 -> trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 2025-09-07T07:28:18.9867787Z * [new tag] trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 -> trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 2025-09-07T07:28:18.9868580Z * [new tag] trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 -> trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 2025-09-07T07:28:18.9869797Z * [new tag] trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 -> trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 2025-09-07T07:28:18.9870522Z * [new tag] trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 -> trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 2025-09-07T07:28:18.9871220Z * [new tag] trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c -> trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c 2025-09-07T07:28:18.9872128Z * [new tag] trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 -> trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 2025-09-07T07:28:18.9872634Z * [new tag] trunk/0d84ff3b78f55492d3d4708458c92d776274939e -> trunk/0d84ff3b78f55492d3d4708458c92d776274939e 2025-09-07T07:28:18.9873318Z * [new tag] trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 -> trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 2025-09-07T07:28:18.9873992Z * [new tag] trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f -> trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f 2025-09-07T07:28:18.9874699Z * [new tag] trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f -> trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f 2025-09-07T07:28:18.9875394Z * [new tag] trunk/12814701555d3e41dfcdf8f9273af5821e322df0 -> trunk/12814701555d3e41dfcdf8f9273af5821e322df0 2025-09-07T07:28:18.9876068Z * [new tag] trunk/13b65196db422bdb394cb482e208c61ed448898c -> trunk/13b65196db422bdb394cb482e208c61ed448898c 2025-09-07T07:28:18.9876721Z * [new tag] trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 -> trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 2025-09-07T07:28:18.9878273Z * [new tag] trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 -> trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 2025-09-07T07:28:18.9878589Z * [new tag] trunk/146371483318e17929daefd37c8e459d9d6d47bb -> trunk/146371483318e17929daefd37c8e459d9d6d47bb 2025-09-07T07:28:18.9879103Z * [new tag] trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 -> trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 2025-09-07T07:28:18.9879714Z * [new tag] trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 -> trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 2025-09-07T07:28:18.9880780Z * [new tag] trunk/190c391a28845a14df26abb228d26aa813efb20c -> trunk/190c391a28845a14df26abb228d26aa813efb20c 2025-09-07T07:28:18.9881465Z * [new tag] trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 -> trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 2025-09-07T07:28:18.9882154Z * [new tag] trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 -> trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 2025-09-07T07:28:18.9882742Z * [new tag] trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 -> trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 2025-09-07T07:28:18.9883417Z * [new tag] trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a -> trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a 2025-09-07T07:28:18.9884039Z * [new tag] trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 -> trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 2025-09-07T07:28:18.9884754Z * [new tag] trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 -> trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 2025-09-07T07:28:18.9885438Z * [new tag] trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a -> trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a 2025-09-07T07:28:18.9886122Z * [new tag] trunk/1f820de639c75a1562d3fb03f160439f853ae07b -> trunk/1f820de639c75a1562d3fb03f160439f853ae07b 2025-09-07T07:28:18.9886839Z * [new tag] trunk/204697f0e695d82894c5010fbec664c4391f90cc -> trunk/204697f0e695d82894c5010fbec664c4391f90cc 2025-09-07T07:28:18.9887457Z * [new tag] trunk/20629b1619fe636227d01fc85ba221daa7185a05 -> trunk/20629b1619fe636227d01fc85ba221daa7185a05 2025-09-07T07:28:18.9888167Z * [new tag] trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 -> trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 2025-09-07T07:28:18.9888888Z * [new tag] trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd -> trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd 2025-09-07T07:28:18.9889585Z * [new tag] trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 -> trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 2025-09-07T07:28:18.9890323Z * [new tag] trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f -> trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f 2025-09-07T07:28:18.9890903Z * [new tag] trunk/25f4aaed9ec26f39c13862323ff8582006473d23 -> trunk/25f4aaed9ec26f39c13862323ff8582006473d23 2025-09-07T07:28:18.9891659Z * [new tag] trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 -> trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 2025-09-07T07:28:18.9892487Z * [new tag] trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f -> trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f 2025-09-07T07:28:18.9893193Z * [new tag] trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 -> trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 2025-09-07T07:28:18.9893845Z * [new tag] trunk/29280864d941e6108ab57f7298f520c0cf9696e9 -> trunk/29280864d941e6108ab57f7298f520c0cf9696e9 2025-09-07T07:28:18.9894650Z * [new tag] trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 -> trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 2025-09-07T07:28:18.9895397Z * [new tag] trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef -> trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef 2025-09-07T07:28:18.9896028Z * [new tag] trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c -> trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c 2025-09-07T07:28:18.9896732Z * [new tag] trunk/2ba65472dd54488a86a50326ea990195fc6732d6 -> trunk/2ba65472dd54488a86a50326ea990195fc6732d6 2025-09-07T07:28:18.9897384Z * [new tag] trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 -> trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 2025-09-07T07:28:18.9898010Z * [new tag] trunk/2dd529df0092799f68ee7afcf52338276906706a -> trunk/2dd529df0092799f68ee7afcf52338276906706a 2025-09-07T07:28:18.9898835Z * [new tag] trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 -> trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 2025-09-07T07:28:18.9899602Z * [new tag] trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 -> trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 2025-09-07T07:28:18.9900450Z * [new tag] trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 -> trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 2025-09-07T07:28:18.9901070Z * [new tag] trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 -> trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 2025-09-07T07:28:18.9901710Z * [new tag] trunk/34aa78274d6770086025a967fa63a86830e08176 -> trunk/34aa78274d6770086025a967fa63a86830e08176 2025-09-07T07:28:18.9902412Z * [new tag] trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 -> trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 2025-09-07T07:28:18.9902931Z * [new tag] trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b -> trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b 2025-09-07T07:28:18.9903540Z * [new tag] trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 -> trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 2025-09-07T07:28:18.9904232Z * [new tag] trunk/3771380f83fcac154a7c89ad679311d8c4818287 -> trunk/3771380f83fcac154a7c89ad679311d8c4818287 2025-09-07T07:28:18.9904940Z * [new tag] trunk/3a207816cc569f78863d86c01f2a3d265350e39f -> trunk/3a207816cc569f78863d86c01f2a3d265350e39f 2025-09-07T07:28:18.9905611Z * [new tag] trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 -> trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 2025-09-07T07:28:18.9906385Z * [new tag] trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 -> trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 2025-09-07T07:28:18.9907013Z * [new tag] trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f -> trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f 2025-09-07T07:28:18.9907704Z * [new tag] trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf -> trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf 2025-09-07T07:28:18.9908426Z * [new tag] trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 -> trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 2025-09-07T07:28:18.9909073Z * [new tag] trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d -> trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d 2025-09-07T07:28:18.9909802Z * [new tag] trunk/420c52ecf36f86d32da0853bfbe074b682b070aa -> trunk/420c52ecf36f86d32da0853bfbe074b682b070aa 2025-09-07T07:28:18.9910478Z * [new tag] trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 -> trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 2025-09-07T07:28:18.9911163Z * [new tag] trunk/451ed931562ec8b46d1f7e6c266a68132a119336 -> trunk/451ed931562ec8b46d1f7e6c266a68132a119336 2025-09-07T07:28:18.9911831Z * [new tag] trunk/480c7391126656154318fabf1d57ebc01e196e63 -> trunk/480c7391126656154318fabf1d57ebc01e196e63 2025-09-07T07:28:18.9912565Z * [new tag] trunk/48bedd753da22634aa94fbafeb731e82025404f3 -> trunk/48bedd753da22634aa94fbafeb731e82025404f3 2025-09-07T07:28:18.9913134Z * [new tag] trunk/494878a11b79071ada0b98f34042d47155be6d1c -> trunk/494878a11b79071ada0b98f34042d47155be6d1c 2025-09-07T07:28:18.9913973Z * [new tag] trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 -> trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 2025-09-07T07:28:18.9914630Z * [new tag] trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf -> trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf 2025-09-07T07:28:18.9915207Z * [new tag] trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e -> trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e 2025-09-07T07:28:18.9915949Z * [new tag] trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 -> trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 2025-09-07T07:28:18.9916604Z * [new tag] trunk/4f72d932feee0749397fec876dcd43994f50b215 -> trunk/4f72d932feee0749397fec876dcd43994f50b215 2025-09-07T07:28:18.9917366Z * [new tag] trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d -> trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d 2025-09-07T07:28:18.9918092Z * [new tag] trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 -> trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 2025-09-07T07:28:18.9918785Z * [new tag] trunk/524b78d4f67045b83bb69edc56ab16efe282971c -> trunk/524b78d4f67045b83bb69edc56ab16efe282971c 2025-09-07T07:28:18.9919482Z * [new tag] trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 -> trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 2025-09-07T07:28:18.9920096Z * [new tag] trunk/5561e45758d59c94605873d5db48ed459c004c3b -> trunk/5561e45758d59c94605873d5db48ed459c004c3b 2025-09-07T07:28:18.9920899Z * [new tag] trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 -> trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 2025-09-07T07:28:18.9921611Z * [new tag] trunk/5927a70934ccf7b70182d364c23245a7dd685503 -> trunk/5927a70934ccf7b70182d364c23245a7dd685503 2025-09-07T07:28:18.9922306Z * [new tag] trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 -> trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 2025-09-07T07:28:18.9923091Z * [new tag] trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 -> trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 2025-09-07T07:28:18.9923804Z * [new tag] trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 -> trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 2025-09-07T07:28:18.9924427Z * [new tag] trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 -> trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 2025-09-07T07:28:18.9925150Z * [new tag] trunk/5da573c42c332bc68d4b7946c69f690a876d951a -> trunk/5da573c42c332bc68d4b7946c69f690a876d951a 2025-09-07T07:28:18.9925897Z * [new tag] trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 -> trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 2025-09-07T07:28:18.9926600Z * [new tag] trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 -> trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 2025-09-07T07:28:18.9927362Z * [new tag] trunk/600c25e9a17fe56e3dee872be8854db08916ba0c -> trunk/600c25e9a17fe56e3dee872be8854db08916ba0c 2025-09-07T07:28:18.9927992Z * [new tag] trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 -> trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 2025-09-07T07:28:18.9928702Z * [new tag] trunk/6087ef41e54c2494b117ffd923faf20f515a6806 -> trunk/6087ef41e54c2494b117ffd923faf20f515a6806 2025-09-07T07:28:18.9929358Z * [new tag] trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 -> trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 2025-09-07T07:28:18.9930029Z * [new tag] trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 -> trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 2025-09-07T07:28:18.9930716Z * [new tag] trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 -> trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 2025-09-07T07:28:18.9931417Z * [new tag] trunk/65985937d97505f648b6ed852c3129f2dd08b251 -> trunk/65985937d97505f648b6ed852c3129f2dd08b251 2025-09-07T07:28:18.9932643Z * [new tag] trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 -> trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 2025-09-07T07:28:18.9933244Z * [new tag] trunk/6737e2c996990024187ba620d2764f3b6f6add2c -> trunk/6737e2c996990024187ba620d2764f3b6f6add2c 2025-09-07T07:28:18.9934023Z * [new tag] trunk/67c31dcd364f10072a55f4a30ffd1151c686283a -> trunk/67c31dcd364f10072a55f4a30ffd1151c686283a 2025-09-07T07:28:18.9934749Z * [new tag] trunk/68738beff73e9c3512e18b4edea811a897ce42db -> trunk/68738beff73e9c3512e18b4edea811a897ce42db 2025-09-07T07:28:18.9935500Z * [new tag] trunk/69a25f68884a168550695fdb1a7c310c54d29536 -> trunk/69a25f68884a168550695fdb1a7c310c54d29536 2025-09-07T07:28:18.9936183Z * [new tag] trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f -> trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f 2025-09-07T07:28:18.9936932Z * [new tag] trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 -> trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 2025-09-07T07:28:18.9937638Z * [new tag] trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b -> trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b 2025-09-07T07:28:18.9938340Z * [new tag] trunk/70d36e047dfb3488fd6335016711a784d810ebda -> trunk/70d36e047dfb3488fd6335016711a784d810ebda 2025-09-07T07:28:18.9939019Z * [new tag] trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b -> trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b 2025-09-07T07:28:18.9939727Z * [new tag] trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 -> trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 2025-09-07T07:28:18.9940471Z * [new tag] trunk/73eb4511fb863a37944342b7e92aae706de603c8 -> trunk/73eb4511fb863a37944342b7e92aae706de603c8 2025-09-07T07:28:18.9941207Z * [new tag] trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b -> trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b 2025-09-07T07:28:18.9941889Z * [new tag] trunk/771f369448321a387f2018535bc8b8b6e5f12fab -> trunk/771f369448321a387f2018535bc8b8b6e5f12fab 2025-09-07T07:28:18.9942663Z * [new tag] trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 -> trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 2025-09-07T07:28:18.9943186Z * [new tag] trunk/791eff96c85678c950888f9da24650083ee673fe -> trunk/791eff96c85678c950888f9da24650083ee673fe 2025-09-07T07:28:18.9943807Z * [new tag] trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 -> trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 2025-09-07T07:28:18.9944474Z * [new tag] trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 -> trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 2025-09-07T07:28:18.9945380Z * [new tag] trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 -> trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 2025-09-07T07:28:18.9946199Z * [new tag] trunk/8076a185c85112be62be292eb47409c88a585b1c -> trunk/8076a185c85112be62be292eb47409c88a585b1c 2025-09-07T07:28:18.9946813Z * [new tag] trunk/80dd397f1979371a5583fa3d5c7352029522a78d -> trunk/80dd397f1979371a5583fa3d5c7352029522a78d 2025-09-07T07:28:18.9947410Z * [new tag] trunk/8171d6052ec12628eb67e0040839314056014429 -> trunk/8171d6052ec12628eb67e0040839314056014429 2025-09-07T07:28:18.9948123Z * [new tag] trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 -> trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 2025-09-07T07:28:18.9948786Z * [new tag] trunk/81b7b16618bda250ce55982894a83dc0805eb64c -> trunk/81b7b16618bda250ce55982894a83dc0805eb64c 2025-09-07T07:28:18.9949548Z * [new tag] trunk/827f0d405448de31f79d1089f7d7fceab2f87895 -> trunk/827f0d405448de31f79d1089f7d7fceab2f87895 2025-09-07T07:28:18.9950248Z * [new tag] trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 -> trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 2025-09-07T07:28:18.9950994Z * [new tag] trunk/850e1382a9c56bfde18af09d3e72352d775e9435 -> trunk/850e1382a9c56bfde18af09d3e72352d775e9435 2025-09-07T07:28:18.9951775Z * [new tag] trunk/8678d831c48e616b717bff50f2d03141d2e9f965 -> trunk/8678d831c48e616b717bff50f2d03141d2e9f965 2025-09-07T07:28:18.9952510Z * [new tag] trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 -> trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 2025-09-07T07:28:18.9953314Z * [new tag] trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 -> trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 2025-09-07T07:28:18.9954029Z * [new tag] trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 -> trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 2025-09-07T07:28:18.9954819Z * [new tag] trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 -> trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 2025-09-07T07:28:18.9955541Z * [new tag] trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 -> trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 2025-09-07T07:28:18.9956351Z * [new tag] trunk/890626632def7e0ef95a2d01e87a0e4627824a9f -> trunk/890626632def7e0ef95a2d01e87a0e4627824a9f 2025-09-07T07:28:18.9957174Z * [new tag] trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 -> trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 2025-09-07T07:28:18.9957898Z * [new tag] trunk/89d41d3f61d04f14730ec26f008a59bef6624610 -> trunk/89d41d3f61d04f14730ec26f008a59bef6624610 2025-09-07T07:28:18.9958580Z * [new tag] trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 -> trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 2025-09-07T07:28:18.9959287Z * [new tag] trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af -> trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af 2025-09-07T07:28:18.9960471Z * [new tag] trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 -> trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 2025-09-07T07:28:18.9961235Z * [new tag] trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d -> trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d 2025-09-07T07:28:18.9962101Z * [new tag] trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 -> trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 2025-09-07T07:28:18.9962923Z * [new tag] trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 -> trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 2025-09-07T07:28:18.9963662Z * [new tag] trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab -> trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab 2025-09-07T07:28:18.9966868Z * [new tag] trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d -> trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d 2025-09-07T07:28:18.9967604Z * [new tag] trunk/93fb23d6fae7c4e82c4239a1033e522088742634 -> trunk/93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:28:18.9968336Z * [new tag] trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c -> trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c 2025-09-07T07:28:18.9969212Z * [new tag] trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e -> trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e 2025-09-07T07:28:18.9969904Z * [new tag] trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 -> trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 2025-09-07T07:28:18.9970586Z * [new tag] trunk/9499c8761cd2067feb9877414e818f6fd00290f1 -> trunk/9499c8761cd2067feb9877414e818f6fd00290f1 2025-09-07T07:28:18.9971351Z * [new tag] trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 -> trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 2025-09-07T07:28:18.9972067Z * [new tag] trunk/98374612fc2febd686be20761e56bdc2424bc36a -> trunk/98374612fc2febd686be20761e56bdc2424bc36a 2025-09-07T07:28:18.9973020Z * [new tag] trunk/98efc9e93d8fc61eb53cb91378443617cb550500 -> trunk/98efc9e93d8fc61eb53cb91378443617cb550500 2025-09-07T07:28:18.9973707Z * [new tag] trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 -> trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 2025-09-07T07:28:18.9974406Z * [new tag] trunk/99f356fa58c8d726cef022d8710f5491291158f6 -> trunk/99f356fa58c8d726cef022d8710f5491291158f6 2025-09-07T07:28:18.9975184Z * [new tag] trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 -> trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 2025-09-07T07:28:18.9975903Z * [new tag] trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd -> trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd 2025-09-07T07:28:18.9976657Z * [new tag] trunk/9aedb3cd87b52160872173c177f61053d97bed57 -> trunk/9aedb3cd87b52160872173c177f61053d97bed57 2025-09-07T07:28:18.9977373Z * [new tag] trunk/9b81fe281da41f2421506339d26b027a468902f4 -> trunk/9b81fe281da41f2421506339d26b027a468902f4 2025-09-07T07:28:18.9978098Z * [new tag] trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e -> trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e 2025-09-07T07:28:18.9978778Z * [new tag] trunk/9c03d6be87eedc06e524e202e07a7e776551a839 -> trunk/9c03d6be87eedc06e524e202e07a7e776551a839 2025-09-07T07:28:18.9979505Z * [new tag] trunk/9c957723a0fedd9c637e63e023a613019e2cab60 -> trunk/9c957723a0fedd9c637e63e023a613019e2cab60 2025-09-07T07:28:18.9980210Z * [new tag] trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 -> trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 2025-09-07T07:28:18.9981072Z * [new tag] trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 -> trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 2025-09-07T07:28:18.9981796Z * [new tag] trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 -> trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 2025-09-07T07:28:18.9982539Z * [new tag] trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 -> trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 2025-09-07T07:28:18.9983212Z * [new tag] trunk/a3c7f77e50f900721817934120d60c2361b3c40d -> trunk/a3c7f77e50f900721817934120d60c2361b3c40d 2025-09-07T07:28:18.9983979Z * [new tag] trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 -> trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 2025-09-07T07:28:18.9984724Z * [new tag] trunk/a3e5466002791da609fcb069155d8ee347baee92 -> trunk/a3e5466002791da609fcb069155d8ee347baee92 2025-09-07T07:28:18.9985503Z * [new tag] trunk/a714437093ed196eee28f7de454cf4c41badc098 -> trunk/a714437093ed196eee28f7de454cf4c41badc098 2025-09-07T07:28:18.9986215Z * [new tag] trunk/a75e8cd27098f290de0b7439685d05ce02e91356 -> trunk/a75e8cd27098f290de0b7439685d05ce02e91356 2025-09-07T07:28:18.9986896Z * [new tag] trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae -> trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae 2025-09-07T07:28:18.9987625Z * [new tag] trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 -> trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 2025-09-07T07:28:18.9988406Z * [new tag] trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e -> trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e 2025-09-07T07:28:18.9989028Z * [new tag] trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 -> trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 2025-09-07T07:28:18.9989748Z * [new tag] trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 -> trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 2025-09-07T07:28:18.9990501Z * [new tag] trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c -> trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c 2025-09-07T07:28:18.9991241Z * [new tag] trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 -> trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 2025-09-07T07:28:18.9991934Z * [new tag] trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d -> trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d 2025-09-07T07:28:18.9992743Z * [new tag] trunk/adae7f66aacf3f248c3101b858cf98d5809119fa -> trunk/adae7f66aacf3f248c3101b858cf98d5809119fa 2025-09-07T07:28:18.9993493Z * [new tag] trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c -> trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c 2025-09-07T07:28:18.9994230Z * [new tag] trunk/aed33a8fcbd60b052d4559d261390c5797129c6d -> trunk/aed33a8fcbd60b052d4559d261390c5797129c6d 2025-09-07T07:28:18.9995025Z * [new tag] trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 -> trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 2025-09-07T07:28:18.9996399Z * [new tag] trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f -> trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f 2025-09-07T07:28:18.9997160Z * [new tag] trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 -> trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 2025-09-07T07:28:18.9997882Z * [new tag] trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 -> trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 2025-09-07T07:28:18.9998615Z * [new tag] trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de -> trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de 2025-09-07T07:28:18.9999374Z * [new tag] trunk/b2b4add0e754411372060e1d7b4057a66439172b -> trunk/b2b4add0e754411372060e1d7b4057a66439172b 2025-09-07T07:28:19.0000105Z * [new tag] trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 -> trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 2025-09-07T07:28:19.0000847Z * [new tag] trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 -> trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 2025-09-07T07:28:19.0001608Z * [new tag] trunk/b4ad38279b178b7bd14355123c1101e2e853e77b -> trunk/b4ad38279b178b7bd14355123c1101e2e853e77b 2025-09-07T07:28:19.0002350Z * [new tag] trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde -> trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde 2025-09-07T07:28:19.0003239Z * [new tag] trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c -> trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c 2025-09-07T07:28:19.0003942Z * [new tag] trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 -> trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 2025-09-07T07:28:19.0004710Z * [new tag] trunk/b7e207ca9f046ddd716076965a0cce403ba99052 -> trunk/b7e207ca9f046ddd716076965a0cce403ba99052 2025-09-07T07:28:19.0005502Z * [new tag] trunk/b919560c4a7010e2d89facee25586269a994746e -> trunk/b919560c4a7010e2d89facee25586269a994746e 2025-09-07T07:28:19.0006289Z * [new tag] trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 -> trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 2025-09-07T07:28:19.0007065Z * [new tag] trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 -> trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 2025-09-07T07:28:19.0007798Z * [new tag] trunk/bb950284c7e72905994bc25dd436c10e48088d85 -> trunk/bb950284c7e72905994bc25dd436c10e48088d85 2025-09-07T07:28:19.0008558Z * [new tag] trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d -> trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d 2025-09-07T07:28:19.0009260Z * [new tag] trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 -> trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 2025-09-07T07:28:19.0009886Z * [new tag] trunk/bc505977fb66677a09c31155c987330fbb18a865 -> trunk/bc505977fb66677a09c31155c987330fbb18a865 2025-09-07T07:28:19.0010681Z * [new tag] trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 -> trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 2025-09-07T07:28:19.0011537Z * [new tag] trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 -> trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 2025-09-07T07:28:19.0012370Z * [new tag] trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 -> trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 2025-09-07T07:28:19.0013132Z * [new tag] trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf -> trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf 2025-09-07T07:28:19.0013882Z * [new tag] trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 -> trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 2025-09-07T07:28:19.0014637Z * [new tag] trunk/c10195e723eeeedd099ed8b73eda7184ca618fad -> trunk/c10195e723eeeedd099ed8b73eda7184ca618fad 2025-09-07T07:28:19.0015364Z * [new tag] trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 -> trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 2025-09-07T07:28:19.0016084Z * [new tag] trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 -> trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 2025-09-07T07:28:19.0016839Z * [new tag] trunk/c32111149921b48bfef909293f1049e21619ed76 -> trunk/c32111149921b48bfef909293f1049e21619ed76 2025-09-07T07:28:19.0017510Z * [new tag] trunk/c37103234afc832dcad307e9016230810957c9d5 -> trunk/c37103234afc832dcad307e9016230810957c9d5 2025-09-07T07:28:19.0018268Z * [new tag] trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 -> trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 2025-09-07T07:28:19.0019023Z * [new tag] trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd -> trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd 2025-09-07T07:28:19.0019748Z * [new tag] trunk/c465b3d52c5687fe910d35a5c75341b77f821741 -> trunk/c465b3d52c5687fe910d35a5c75341b77f821741 2025-09-07T07:28:19.0020498Z * [new tag] trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b -> trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b 2025-09-07T07:28:19.0021142Z * [new tag] trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 -> trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 2025-09-07T07:28:19.0021896Z * [new tag] trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 -> trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 2025-09-07T07:28:19.0022717Z * [new tag] trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b -> trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b 2025-09-07T07:28:19.0023436Z * [new tag] trunk/cbfb005f7cce79974795b148e265f594f59477c8 -> trunk/cbfb005f7cce79974795b148e265f594f59477c8 2025-09-07T07:28:19.0024217Z * [new tag] trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 -> trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 2025-09-07T07:28:19.0025151Z * [new tag] trunk/cd529b686d54bbaa443f5b310140de48422d96c7 -> trunk/cd529b686d54bbaa443f5b310140de48422d96c7 2025-09-07T07:28:19.0025866Z * [new tag] trunk/cec0ff122815582af5302360aff03676558c5c87 -> trunk/cec0ff122815582af5302360aff03676558c5c87 2025-09-07T07:28:19.0026603Z * [new tag] trunk/d11720efdb563d02cf4f7d324311fb15a755268e -> trunk/d11720efdb563d02cf4f7d324311fb15a755268e 2025-09-07T07:28:19.0027305Z * [new tag] trunk/d1706d9128ae24d9048167e80d3fe5196d19035e -> trunk/d1706d9128ae24d9048167e80d3fe5196d19035e 2025-09-07T07:28:19.0028110Z * [new tag] trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d -> trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d 2025-09-07T07:28:19.0029110Z * [new tag] trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 -> trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 2025-09-07T07:28:19.0029723Z * [new tag] trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e -> trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e 2025-09-07T07:28:19.0030527Z * [new tag] trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 -> trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 2025-09-07T07:28:19.0031150Z * [new tag] trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 -> trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 2025-09-07T07:28:19.0031877Z * [new tag] trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 -> trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 2025-09-07T07:28:19.0032532Z * [new tag] trunk/d5e0f4202ba14632e4d14862ace096609e763462 -> trunk/d5e0f4202ba14632e4d14862ace096609e763462 2025-09-07T07:28:19.0033271Z * [new tag] trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 -> trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 2025-09-07T07:28:19.0034510Z * [new tag] trunk/d64718503728001a1e78168fd7f2d4ff23e57285 -> trunk/d64718503728001a1e78168fd7f2d4ff23e57285 2025-09-07T07:28:19.0035303Z * [new tag] trunk/d67c29ad22670320d676b02e394274af34e8e643 -> trunk/d67c29ad22670320d676b02e394274af34e8e643 2025-09-07T07:28:19.0036134Z * [new tag] trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 -> trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 2025-09-07T07:28:19.0036928Z * [new tag] trunk/d711f27845abd45007ccab6076649ebd896c2661 -> trunk/d711f27845abd45007ccab6076649ebd896c2661 2025-09-07T07:28:19.0037661Z * [new tag] trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab -> trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab 2025-09-07T07:28:19.0038387Z * [new tag] trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 -> trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 2025-09-07T07:28:19.0039012Z * [new tag] trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 -> trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 2025-09-07T07:28:19.0039791Z * [new tag] trunk/dbec08729fb9848bebed6048c63831b87170d061 -> trunk/dbec08729fb9848bebed6048c63831b87170d061 2025-09-07T07:28:19.0040430Z * [new tag] trunk/dcf385395d838f38c8dca25913578230dd43099a -> trunk/dcf385395d838f38c8dca25913578230dd43099a 2025-09-07T07:28:19.0041149Z * [new tag] trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 -> trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 2025-09-07T07:28:19.0041940Z * [new tag] trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d -> trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d 2025-09-07T07:28:19.0042664Z * [new tag] trunk/e0a62b266c021b910ce6dc02a6c9429210487717 -> trunk/e0a62b266c021b910ce6dc02a6c9429210487717 2025-09-07T07:28:19.0043407Z * [new tag] trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 -> trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 2025-09-07T07:28:19.0044195Z * [new tag] trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 -> trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 2025-09-07T07:28:19.0045119Z * [new tag] trunk/e3068cdb446adefb5a875616ba37a60235391439 -> trunk/e3068cdb446adefb5a875616ba37a60235391439 2025-09-07T07:28:19.0045907Z * [new tag] trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 -> trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 2025-09-07T07:28:19.0046693Z * [new tag] trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 -> trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 2025-09-07T07:28:19.0047337Z * [new tag] trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 -> trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 2025-09-07T07:28:19.0048093Z * [new tag] trunk/e92cd9415377403b6e90585e764639e2e0b5973b -> trunk/e92cd9415377403b6e90585e764639e2e0b5973b 2025-09-07T07:28:19.0048913Z * [new tag] trunk/e9481b6617b5576b099d8ca5798111592e9ad090 -> trunk/e9481b6617b5576b099d8ca5798111592e9ad090 2025-09-07T07:28:19.0049472Z * [new tag] trunk/ea1883dfd3e42defe37b11202b878bb76defa087 -> trunk/ea1883dfd3e42defe37b11202b878bb76defa087 2025-09-07T07:28:19.0050263Z * [new tag] trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 -> trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 2025-09-07T07:28:19.0050939Z * [new tag] trunk/eb18d32bda75189494d955aa001ade15f10333de -> trunk/eb18d32bda75189494d955aa001ade15f10333de 2025-09-07T07:28:19.0051568Z * [new tag] trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 -> trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 2025-09-07T07:28:19.0052322Z * [new tag] trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 -> trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 2025-09-07T07:28:19.0053185Z * [new tag] trunk/f00445b43eee57e20bb9316fa796ca23bf73373b -> trunk/f00445b43eee57e20bb9316fa796ca23bf73373b 2025-09-07T07:28:19.0053900Z * [new tag] trunk/f0c391102b754e3b145e8c59231d2df563487e37 -> trunk/f0c391102b754e3b145e8c59231d2df563487e37 2025-09-07T07:28:19.0054729Z * [new tag] trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 -> trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 2025-09-07T07:28:19.0055494Z * [new tag] trunk/f36f285953700f971552083a5da9d0ceacb63bbd -> trunk/f36f285953700f971552083a5da9d0ceacb63bbd 2025-09-07T07:28:19.0056256Z * [new tag] trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb -> trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb 2025-09-07T07:28:19.0056932Z * [new tag] trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c -> trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c 2025-09-07T07:28:19.0057700Z * [new tag] trunk/f612045ce105f008b2b675e2fc870163babeb2e8 -> trunk/f612045ce105f008b2b675e2fc870163babeb2e8 2025-09-07T07:28:19.0058447Z * [new tag] trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c -> trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c 2025-09-07T07:28:19.0059115Z * [new tag] trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c -> trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c 2025-09-07T07:28:19.0059918Z * [new tag] trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 -> trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 2025-09-07T07:28:19.0060665Z * [new tag] trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 -> trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 2025-09-07T07:28:19.0061576Z * [new tag] trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa -> trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa 2025-09-07T07:28:19.0062303Z * [new tag] trunk/fea20775ad96bdca972a1811d7d3372f368614ab -> trunk/fea20775ad96bdca972a1811d7d3372f368614ab 2025-09-07T07:28:19.0062941Z * [new tag] trunk/fefee081642f87419a21dc852f7167d4640443cd -> trunk/fefee081642f87419a21dc852f7167d4640443cd 2025-09-07T07:28:19.0063506Z * [new tag] v0.1.1 -> v0.1.1 2025-09-07T07:28:19.0064261Z * [new tag] v0.1.10 -> v0.1.10 2025-09-07T07:28:19.0064876Z * [new tag] v0.1.11 -> v0.1.11 2025-09-07T07:28:19.0065491Z * [new tag] v0.1.12 -> v0.1.12 2025-09-07T07:28:19.0066157Z * [new tag] v0.1.2 -> v0.1.2 2025-09-07T07:28:19.0066734Z * [new tag] v0.1.3 -> v0.1.3 2025-09-07T07:28:19.0067397Z * [new tag] v0.1.4 -> v0.1.4 2025-09-07T07:28:19.0068028Z * [new tag] v0.1.5 -> v0.1.5 2025-09-07T07:28:19.0068669Z * [new tag] v0.1.6 -> v0.1.6 2025-09-07T07:28:19.0069264Z * [new tag] v0.1.7 -> v0.1.7 2025-09-07T07:28:19.0069913Z * [new tag] v0.1.8 -> v0.1.8 2025-09-07T07:28:19.0071013Z * [new tag] v0.1.9 -> v0.1.9 2025-09-07T07:28:19.0071188Z * [new tag] v0.2.0 -> v0.2.0 2025-09-07T07:28:19.0071879Z * [new tag] v0.3.0 -> v0.3.0 2025-09-07T07:28:19.0072628Z * [new tag] v0.3.1 -> v0.3.1 2025-09-07T07:28:19.0073287Z * [new tag] v0.4.0 -> v0.4.0 2025-09-07T07:28:19.0073918Z * [new tag] v0.4.1 -> v0.4.1 2025-09-07T07:28:19.0074579Z * [new tag] v1.0.0 -> v1.0.0 2025-09-07T07:28:19.0075315Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-09-07T07:28:19.0075951Z * [new tag] v1.0.1 -> v1.0.1 2025-09-07T07:28:19.0076605Z * [new tag] v1.0rc0 -> v1.0rc0 2025-09-07T07:28:19.0077165Z * [new tag] v1.0rc1 -> v1.0rc1 2025-09-07T07:28:19.0077779Z * [new tag] v1.1.0 -> v1.1.0 2025-09-07T07:28:19.0078437Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-09-07T07:28:19.0079365Z * [new tag] v1.10.0 -> v1.10.0 2025-09-07T07:28:19.0080176Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-09-07T07:28:19.0081073Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-09-07T07:28:19.0081617Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-09-07T07:28:19.0082404Z * [new tag] v1.10.1 -> v1.10.1 2025-09-07T07:28:19.0082907Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-09-07T07:28:19.0083415Z * [new tag] v1.10.2 -> v1.10.2 2025-09-07T07:28:19.0083957Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-09-07T07:28:19.0084629Z * [new tag] v1.11.0 -> v1.11.0 2025-09-07T07:28:19.0085444Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-09-07T07:28:19.0086229Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-09-07T07:28:19.0086983Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-09-07T07:28:19.0087750Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-09-07T07:28:19.0088480Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-09-07T07:28:19.0088984Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-09-07T07:28:19.0089492Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-09-07T07:28:19.0090190Z * [new tag] v1.12.0 -> v1.12.0 2025-09-07T07:28:19.0090890Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-09-07T07:28:19.0091553Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-09-07T07:28:19.0092337Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-09-07T07:28:19.0093059Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-09-07T07:28:19.0093759Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-09-07T07:28:19.0094476Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-09-07T07:28:19.0094999Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-09-07T07:28:19.0095494Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-09-07T07:28:19.0096011Z * [new tag] v1.12.1 -> v1.12.1 2025-09-07T07:28:19.0096941Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-09-07T07:28:19.0097618Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-09-07T07:28:19.0098411Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-09-07T07:28:19.0099273Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-09-07T07:28:19.0099670Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-09-07T07:28:19.0100376Z * [new tag] v1.13.0 -> v1.13.0 2025-09-07T07:28:19.0101067Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-09-07T07:28:19.0101753Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-09-07T07:28:19.0102472Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-09-07T07:28:19.0103319Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-09-07T07:28:19.0103825Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-09-07T07:28:19.0104352Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-09-07T07:28:19.0105018Z * [new tag] v1.13.1 -> v1.13.1 2025-09-07T07:28:19.0105541Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-09-07T07:28:19.0106233Z * [new tag] v1.2.0 -> v1.2.0 2025-09-07T07:28:19.0106941Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-09-07T07:28:19.0107603Z * [new tag] v1.3.0 -> v1.3.0 2025-09-07T07:28:19.0108296Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-09-07T07:28:19.0108841Z * [new tag] v1.3.1 -> v1.3.1 2025-09-07T07:28:19.0109464Z * [new tag] v1.4.0 -> v1.4.0 2025-09-07T07:28:19.0110182Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-09-07T07:28:19.0110698Z * [new tag] v1.4.1 -> v1.4.1 2025-09-07T07:28:19.0111404Z * [new tag] v1.5.0 -> v1.5.0 2025-09-07T07:28:19.0112235Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-09-07T07:28:19.0112933Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-09-07T07:28:19.0113667Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-09-07T07:28:19.0114267Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-09-07T07:28:19.0114806Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-09-07T07:28:19.0115590Z * [new tag] v1.5.1 -> v1.5.1 2025-09-07T07:28:19.0116082Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-09-07T07:28:19.0116587Z * [new tag] v1.6.0 -> v1.6.0 2025-09-07T07:28:19.0117317Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-09-07T07:28:19.0118045Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-09-07T07:28:19.0118864Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-09-07T07:28:19.0119620Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-09-07T07:28:19.0120326Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-09-07T07:28:19.0120977Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-09-07T07:28:19.0121508Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-09-07T07:28:19.0122230Z * [new tag] v1.7.0 -> v1.7.0 2025-09-07T07:28:19.0123009Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-09-07T07:28:19.0124040Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-09-07T07:28:19.0124824Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-09-07T07:28:19.0125333Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-09-07T07:28:19.0126026Z * [new tag] v1.7.1 -> v1.7.1 2025-09-07T07:28:19.0126926Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-09-07T07:28:19.0127563Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-09-07T07:28:19.0128083Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-09-07T07:28:19.0128811Z * [new tag] v1.8.0 -> v1.8.0 2025-09-07T07:28:19.0129331Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-09-07T07:28:19.0130053Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-09-07T07:28:19.0130796Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-09-07T07:28:19.0131479Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-09-07T07:28:19.0132002Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-09-07T07:28:19.0132526Z * [new tag] v1.8.1 -> v1.8.1 2025-09-07T07:28:19.0133238Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-09-07T07:28:19.0133770Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-09-07T07:28:19.0134274Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-09-07T07:28:19.0135418Z * [new tag] v1.8.2 -> v1.8.2 2025-09-07T07:28:19.0135889Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-09-07T07:28:19.0136713Z * [new tag] v1.9.0 -> v1.9.0 2025-09-07T07:28:19.0137351Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-09-07T07:28:19.0138123Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-09-07T07:28:19.0138803Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-09-07T07:28:19.0139381Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-09-07T07:28:19.0140117Z * [new tag] v1.9.1 -> v1.9.1 2025-09-07T07:28:19.0140994Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-09-07T07:28:19.0141459Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-09-07T07:28:19.0142224Z * [new tag] v2.0.0 -> v2.0.0 2025-09-07T07:28:19.0142904Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-09-07T07:28:19.0143590Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-09-07T07:28:19.0144339Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-09-07T07:28:19.0145149Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-09-07T07:28:19.0145865Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-09-07T07:28:19.0146443Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-09-07T07:28:19.0147202Z * [new tag] v2.0.1 -> v2.0.1 2025-09-07T07:28:19.0147988Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-09-07T07:28:19.0148521Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-09-07T07:28:19.0149146Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-09-07T07:28:19.0149642Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-09-07T07:28:19.0150820Z * [new tag] v2.1.0 -> v2.1.0 2025-09-07T07:28:19.0151505Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-09-07T07:28:19.0152279Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-09-07T07:28:19.0153102Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-09-07T07:28:19.0153882Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-09-07T07:28:19.0154598Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-09-07T07:28:19.0155198Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-09-07T07:28:19.0155864Z * [new tag] v2.1.1 -> v2.1.1 2025-09-07T07:28:19.0156587Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-09-07T07:28:19.0157258Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-09-07T07:28:19.0158117Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-09-07T07:28:19.0158864Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-09-07T07:28:19.0159522Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-09-07T07:28:19.0160051Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-09-07T07:28:19.0160736Z * [new tag] v2.1.2 -> v2.1.2 2025-09-07T07:28:19.0161462Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-09-07T07:28:19.0162223Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-09-07T07:28:19.0162740Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-09-07T07:28:19.0163473Z * [new tag] v2.2.0 -> v2.2.0 2025-09-07T07:28:19.0164315Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-09-07T07:28:19.0164976Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-09-07T07:28:19.0165636Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-09-07T07:28:19.0166257Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-09-07T07:28:19.0167005Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-09-07T07:28:19.0167709Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-09-07T07:28:19.0168423Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-09-07T07:28:19.0169013Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-09-07T07:28:19.0169807Z * [new tag] v2.2.1 -> v2.2.1 2025-09-07T07:28:19.0170532Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-09-07T07:28:19.0171034Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-09-07T07:28:19.0171572Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-09-07T07:28:19.0172042Z * [new tag] v2.2.2 -> v2.2.2 2025-09-07T07:28:19.0172897Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-09-07T07:28:19.0173425Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-09-07T07:28:19.0173971Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-09-07T07:28:19.0174659Z * [new tag] v2.3.0 -> v2.3.0 2025-09-07T07:28:19.0175386Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-09-07T07:28:19.0176144Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-09-07T07:28:19.0176925Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-09-07T07:28:19.0177461Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-09-07T07:28:19.0178163Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-09-07T07:28:19.0178904Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-09-07T07:28:19.0179605Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-09-07T07:28:19.0180368Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-09-07T07:28:19.0180874Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-09-07T07:28:19.0181606Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-09-07T07:28:19.0182300Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-09-07T07:28:19.0182808Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-09-07T07:28:19.0183492Z * [new tag] v2.3.1 -> v2.3.1 2025-09-07T07:28:19.0184050Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-09-07T07:28:19.0184758Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-09-07T07:28:19.0185533Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-09-07T07:28:19.0186303Z * [new tag] v2.4.0 -> v2.4.0 2025-09-07T07:28:19.0187060Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-09-07T07:28:19.0187758Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-09-07T07:28:19.0188460Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 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2025-09-07T07:28:19.0222763Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-09-07T07:28:19.0223515Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-09-07T07:28:19.0224436Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-09-07T07:28:19.0225261Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-09-07T07:28:19.0225961Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-09-07T07:28:19.0226563Z * [new tag] v2.8.0 -> v2.8.0 2025-09-07T07:28:19.0227303Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-09-07T07:28:19.0228073Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-09-07T07:28:19.0228897Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-09-07T07:28:19.0229668Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-09-07T07:28:19.0230414Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-09-07T07:28:19.0231204Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-09-07T07:28:19.0231983Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-09-07T07:28:19.0232697Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-09-07T07:28:19.0233404Z * [new tag] whc_flight_1 -> whc_flight_1 2025-09-07T07:28:19.0234158Z * [new tag] whc_flight_2 -> whc_flight_2 2025-09-07T07:28:19.0234822Z * [new tag] whc_flight_4 -> whc_flight_4 2025-09-07T07:28:19.0807460Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T07:28:19.0831808Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:28:19.0835843Z ##[endgroup] 2025-09-07T07:28:19.0836112Z ##[group]Determining the checkout info 2025-09-07T07:28:19.0836787Z ##[endgroup] 2025-09-07T07:28:19.0840362Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T07:28:19.0873145Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T07:28:19.0900411Z ##[group]Checking out the ref 2025-09-07T07:28:19.0904071Z [command]/usr/bin/git checkout --progress --force 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:28:20.1170657Z Updating files: 91% (17722/19405) 2025-09-07T07:28:20.1285758Z Updating files: 92% (17853/19405) 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You can look around, make experimental 2025-09-07T07:28:20.2620318Z changes and commit them, and you can discard any commits you make in this 2025-09-07T07:28:20.2620812Z state without impacting any branches by switching back to a branch. 2025-09-07T07:28:20.2621091Z 2025-09-07T07:28:20.2621277Z If you want to create a new branch to retain commits you create, you may 2025-09-07T07:28:20.2621721Z do so (now or later) by using -c with the switch command. Example: 2025-09-07T07:28:20.2621971Z 2025-09-07T07:28:20.2622068Z git switch -c 2025-09-07T07:28:20.2622244Z 2025-09-07T07:28:20.2622335Z Or undo this operation with: 2025-09-07T07:28:20.2622500Z 2025-09-07T07:28:20.2622573Z git switch - 2025-09-07T07:28:20.2622686Z 2025-09-07T07:28:20.2622898Z Turn off this advice by setting config variable advice.detachedHead to false 2025-09-07T07:28:20.2623202Z 2025-09-07T07:28:20.2623361Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T07:28:20.2712787Z ##[endgroup] 2025-09-07T07:28:20.2713164Z ##[group]Setting up auth for fetching submodules 2025-09-07T07:28:20.2719093Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:28:20.2763005Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-07T07:28:20.2789191Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-07T07:28:20.2815261Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-07T07:28:20.2838394Z ##[endgroup] 2025-09-07T07:28:20.2838730Z ##[group]Fetching submodules 2025-09-07T07:28:20.2842297Z [command]/usr/bin/git submodule sync --recursive 2025-09-07T07:28:20.3132458Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T07:28:20.3745671Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-09-07T07:28:20.3747743Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-09-07T07:28:20.3750320Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-09-07T07:28:20.3765252Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-09-07T07:28:20.3767945Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-09-07T07:28:20.3771050Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-09-07T07:28:20.3773539Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-09-07T07:28:20.3787769Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-09-07T07:28:20.3790769Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-09-07T07:28:20.3794055Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-09-07T07:28:20.3797028Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-09-07T07:28:20.3811768Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-09-07T07:28:20.3814954Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-09-07T07:28:20.3818097Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-09-07T07:28:20.3821370Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-09-07T07:28:20.3826157Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-09-07T07:28:20.3843077Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-09-07T07:28:20.3846682Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-09-07T07:28:20.3850444Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:28:20.3854097Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-09-07T07:28:20.3869487Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-09-07T07:28:20.3873316Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-09-07T07:28:20.3877132Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-09-07T07:28:20.3880961Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-09-07T07:28:20.3884961Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-09-07T07:28:20.3900514Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-09-07T07:28:20.3904722Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-09-07T07:28:20.3908883Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-09-07T07:28:20.3913374Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-09-07T07:28:20.3928812Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-09-07T07:28:20.3933292Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-09-07T07:28:20.3937653Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-09-07T07:28:20.3942180Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-09-07T07:28:20.3948074Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-09-07T07:28:20.3964053Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-09-07T07:28:20.3968757Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-09-07T07:28:20.3973562Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-09-07T07:28:20.4003196Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-09-07T07:28:20.6288387Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-09-07T07:28:20.6289054Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-09-07T07:28:20.6289951Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-09-07T07:28:20.6312905Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-09-07T07:28:20.6381483Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-09-07T07:28:20.7777493Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-09-07T07:28:20.7778212Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-09-07T07:28:20.7778883Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-09-07T07:28:20.7779560Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-09-07T07:28:20.7780202Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-09-07T07:28:20.7780846Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-09-07T07:28:20.7781505Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-09-07T07:28:21.4917048Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-09-07T07:28:21.4917733Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-09-07T07:28:21.4918360Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-09-07T07:28:21.4918977Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-09-07T07:28:21.4919612Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-09-07T07:28:21.4920309Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-09-07T07:28:21.4920961Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-09-07T07:28:21.4921578Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-09-07T07:28:21.4922190Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-09-07T07:28:21.4922793Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-09-07T07:28:21.4923410Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-09-07T07:28:21.4924009Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-09-07T07:28:21.5099285Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-09-07T07:28:30.0006391Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-09-07T07:28:30.0007107Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-09-07T07:28:30.0007771Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-09-07T07:28:30.0008373Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-09-07T07:28:30.0008983Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-09-07T07:28:30.0009583Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-09-07T07:28:30.0010224Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-09-07T07:28:30.0010867Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-09-07T07:28:30.0011514Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-09-07T07:28:30.0012183Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-09-07T07:28:30.0013094Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-09-07T07:28:30.0153008Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T07:28:30.0269072Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T07:28:30.0361033Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T07:28:30.0582237Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T07:28:30.1291057Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T07:28:30.1746844Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T07:28:30.7808752Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T07:28:30.9169558Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T07:28:30.9189051Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:28:30.9213360Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-09-07T07:28:34.1251556Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T07:28:34.1465847Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T07:28:34.4188437Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-09-07T07:28:34.4648324Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-09-07T07:28:34.5512032Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-09-07T07:28:34.5908096Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-09-07T07:28:35.1328033Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-07T07:28:35.2581782Z Submodule path 'third_party/fbgemm': checked out '4b39c551efe15e6bbade20565b0ceb2d8ce3352d' 2025-09-07T07:28:35.2602498Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-09-07T07:28:35.2604580Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:28:35.2606509Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:28:35.2608729Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-09-07T07:28:35.2610981Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-09-07T07:28:35.2613339Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:28:35.2615596Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-09-07T07:28:35.2641468Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-09-07T07:28:36.2455330Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-09-07T07:28:36.2456168Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-09-07T07:28:36.2456923Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-09-07T07:28:36.2458018Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-09-07T07:28:36.3455579Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-09-07T07:28:37.0652636Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-09-07T07:28:41.3395890Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-09-07T07:28:41.5601451Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-09-07T07:28:41.6489025Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-09-07T07:28:42.1928765Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917' 2025-09-07T07:28:42.2324423Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:28:42.2434462Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-09-07T07:28:42.3364947Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-09-07T07:28:42.3985855Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-09-07T07:28:42.4003901Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:28:42.4005876Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:28:42.4030329Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-09-07T07:28:45.2985707Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-09-07T07:28:45.5016868Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-09-07T07:28:45.9964386Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-09-07T07:28:46.1124746Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-09-07T07:28:46.1414488Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-09-07T07:28:46.1747966Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-09-07T07:28:46.1972809Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-09-07T07:28:46.2361382Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:28:46.2484457Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-09-07T07:28:46.2501583Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-09-07T07:28:46.2526229Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-09-07T07:28:57.4548229Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-09-07T07:28:57.4733277Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-09-07T07:28:57.5580099Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-09-07T07:28:57.5597673Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:28:57.5600011Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:28:57.5602001Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:28:57.5627438Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-09-07T07:28:58.1414727Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-09-07T07:28:58.4125981Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-09-07T07:28:58.4840429Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-09-07T07:28:58.4857099Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:28:58.4859221Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:28:58.4861414Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:28:58.4863667Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:28:58.4866062Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:28:58.4868485Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:28:58.4870799Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:28:58.4873201Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:28:58.4899057Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-09-07T07:28:59.6317608Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-09-07T07:28:59.6318646Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-09-07T07:28:59.6319961Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-09-07T07:28:59.6320939Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-09-07T07:28:59.6321937Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-09-07T07:28:59.6322923Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-09-07T07:28:59.7317633Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-09-07T07:29:04.4815077Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-09-07T07:29:04.4975610Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-09-07T07:29:04.5295709Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-09-07T07:29:04.5422780Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-09-07T07:29:04.5438462Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:29:04.5463654Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-09-07T07:29:04.8152533Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-09-07T07:29:04.8322144Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-09-07T07:29:04.8679341Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-09-07T07:29:04.9558055Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-09-07T07:29:04.9710591Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-09-07T07:29:05.0036794Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-09-07T07:29:05.0549129Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-09-07T07:29:05.0974834Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-09-07T07:29:05.1324465Z Submodule path 'third_party/mimalloc': 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2025-09-07T07:29:06.4688050Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:29:06.4690520Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:29:06.4716151Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-09-07T07:29:07.1194647Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-09-07T07:29:07.1195648Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-09-07T07:29:07.1196594Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-09-07T07:29:07.1197497Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-09-07T07:29:07.2195247Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-09-07T07:29:07.5621807Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-09-07T07:29:13.0056014Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-09-07T07:29:13.0228604Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-09-07T07:29:13.0590134Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-09-07T07:29:13.0750783Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out 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2025-09-07T07:29:19.5643587Z [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" 2025-09-07T07:29:19.5913627Z Entering 'android/libs/fbjni' 2025-09-07T07:29:19.5963512Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-09-07T07:29:19.5979742Z Entering 'third_party/FP16' 2025-09-07T07:29:19.6027986Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-09-07T07:29:19.6043862Z Entering 'third_party/FXdiv' 2025-09-07T07:29:19.6093251Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-09-07T07:29:19.6108676Z Entering 'third_party/NNPACK' 2025-09-07T07:29:19.6157366Z 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2025-09-07T07:29:20.5166519Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:29:20.5205917Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:29:20.5244864Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:29:20.5284157Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:29:20.5322523Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:29:20.5380690Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-09-07T07:29:20.5651516Z Entering 'android/libs/fbjni' 2025-09-07T07:29:20.5691654Z Entering 'third_party/FP16' 2025-09-07T07:29:20.5731962Z Entering 'third_party/FXdiv' 2025-09-07T07:29:20.5772252Z Entering 'third_party/NNPACK' 2025-09-07T07:29:20.5811981Z Entering 'third_party/NVTX' 2025-09-07T07:29:20.5852303Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:29:20.5893248Z Entering 'third_party/XNNPACK' 2025-09-07T07:29:20.5942863Z Entering 'third_party/aiter' 2025-09-07T07:29:20.5983513Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:29:20.6028397Z Entering 'third_party/benchmark' 2025-09-07T07:29:20.6069560Z Entering 'third_party/composable_kernel' 2025-09-07T07:29:20.6115921Z Entering 'third_party/cpp-httplib' 2025-09-07T07:29:20.6155220Z Entering 'third_party/cpuinfo' 2025-09-07T07:29:20.6195503Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:29:20.6235228Z Entering 'third_party/cutlass' 2025-09-07T07:29:20.6282566Z Entering 'third_party/fbgemm' 2025-09-07T07:29:20.6325095Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:29:20.6366537Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:29:20.6410563Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:29:20.6449152Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:29:20.6493601Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:29:20.6531814Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:29:20.6570176Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:29:20.6612635Z Entering 'third_party/flash-attention' 2025-09-07T07:29:20.6652707Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:29:20.6695940Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:29:20.6742302Z Entering 'third_party/flatbuffers' 2025-09-07T07:29:20.6784249Z Entering 'third_party/fmt' 2025-09-07T07:29:20.6824570Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:29:20.6864982Z Entering 'third_party/gloo' 2025-09-07T07:29:20.6904545Z Entering 'third_party/googletest' 2025-09-07T07:29:20.6944437Z Entering 'third_party/ideep' 2025-09-07T07:29:20.6984731Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:29:20.7029528Z Entering 'third_party/ittapi' 2025-09-07T07:29:20.7069822Z Entering 'third_party/kineto' 2025-09-07T07:29:20.7109495Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:29:20.7148532Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:29:20.7188868Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:29:20.7228349Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:29:20.7268544Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:29:20.7307482Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:29:20.7349530Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:29:20.7388948Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:29:20.7428187Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:29:20.7468608Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:29:20.7509044Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:29:20.7547614Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:29:20.7589192Z Entering 'third_party/kleidiai' 2025-09-07T07:29:20.7629378Z Entering 'third_party/mimalloc' 2025-09-07T07:29:20.7669472Z Entering 'third_party/nlohmann' 2025-09-07T07:29:20.7710564Z Entering 'third_party/onnx' 2025-09-07T07:29:20.7762165Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:29:20.7804262Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:29:20.7844973Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:29:20.7883909Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:29:20.7923172Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:29:20.7961253Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:29:20.8000800Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:29:20.8039650Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:29:20.8078961Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:29:20.8117453Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:29:20.8157861Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:29:20.8199009Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:29:20.8251138Z Entering 'third_party/pocketfft' 2025-09-07T07:29:20.8292145Z Entering 'third_party/protobuf' 2025-09-07T07:29:20.8333940Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:29:20.8372941Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:29:20.8413723Z Entering 'third_party/psimd' 2025-09-07T07:29:20.8453985Z Entering 'third_party/pthreadpool' 2025-09-07T07:29:20.8494325Z Entering 'third_party/pybind11' 2025-09-07T07:29:20.8535254Z Entering 'third_party/python-peachpy' 2025-09-07T07:29:20.8575701Z Entering 'third_party/sleef' 2025-09-07T07:29:20.8617283Z Entering 'third_party/tensorpipe' 2025-09-07T07:29:20.8657558Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:29:20.8696858Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:29:20.8734745Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:29:20.8773361Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:29:20.8811504Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:29:20.8866126Z ##[endgroup] 2025-09-07T07:29:20.8901174Z [command]/usr/bin/git log -1 --format=%H 2025-09-07T07:29:20.8923231Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:29:20.9020426Z ##[group]Run cd "${GITHUB_WORKSPACE}" 2025-09-07T07:29:20.9020731Z cd "${GITHUB_WORKSPACE}" 2025-09-07T07:29:20.9020990Z # Clean stale submodule dirs 2025-09-07T07:29:20.9021257Z if [ -z "${NO_SUDO}" ]; then 2025-09-07T07:29:20.9021582Z  sudo git submodule foreach --recursive git clean -ffdx 2025-09-07T07:29:20.9021905Z else 2025-09-07T07:29:20.9022158Z  git submodule foreach --recursive git clean -ffdx 2025-09-07T07:29:20.9022459Z fi 2025-09-07T07:29:20.9032935Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:20.9033255Z env: 2025-09-07T07:29:20.9033430Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:20.9033643Z NO_SUDO: true 2025-09-07T07:29:20.9033821Z ##[endgroup] 2025-09-07T07:29:20.9354908Z Entering 'android/libs/fbjni' 2025-09-07T07:29:20.9387373Z Entering 'third_party/FP16' 2025-09-07T07:29:20.9417706Z Entering 'third_party/FXdiv' 2025-09-07T07:29:20.9447751Z Entering 'third_party/NNPACK' 2025-09-07T07:29:20.9481949Z Entering 'third_party/NVTX' 2025-09-07T07:29:20.9518177Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:29:20.9549752Z Entering 'third_party/XNNPACK' 2025-09-07T07:29:20.9655391Z Entering 'third_party/aiter' 2025-09-07T07:29:20.9694798Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:29:20.9788569Z Entering 'third_party/benchmark' 2025-09-07T07:29:20.9820506Z Entering 'third_party/composable_kernel' 2025-09-07T07:29:20.9923186Z Entering 'third_party/cpp-httplib' 2025-09-07T07:29:20.9955227Z Entering 'third_party/cpuinfo' 2025-09-07T07:29:20.9990708Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:29:21.0024313Z Entering 'third_party/cutlass' 2025-09-07T07:29:21.0109784Z Entering 'third_party/fbgemm' 2025-09-07T07:29:21.0163390Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:29:21.0192502Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:29:21.0284080Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:29:21.0316224Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:29:21.0399390Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:29:21.0429640Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:29:21.0456732Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:29:21.0496843Z Entering 'third_party/flash-attention' 2025-09-07T07:29:21.0534355Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:29:21.0617954Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:29:21.0694898Z Entering 'third_party/flatbuffers' 2025-09-07T07:29:21.0756976Z Entering 'third_party/fmt' 2025-09-07T07:29:21.0788908Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:29:21.0820845Z Entering 'third_party/gloo' 2025-09-07T07:29:21.0852700Z Entering 'third_party/googletest' 2025-09-07T07:29:21.0885776Z Entering 'third_party/ideep' 2025-09-07T07:29:21.0915679Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:29:21.0989540Z Entering 'third_party/ittapi' 2025-09-07T07:29:21.1022228Z Entering 'third_party/kineto' 2025-09-07T07:29:21.1055152Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:29:21.1087032Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:29:21.1127738Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:29:21.1157302Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:29:21.1187085Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:29:21.1213994Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:29:21.1243904Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:29:21.1273254Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:29:21.1304676Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:29:21.1341299Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:29:21.1372623Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:29:21.1402171Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:29:21.1435357Z Entering 'third_party/kleidiai' 2025-09-07T07:29:21.1471269Z Entering 'third_party/mimalloc' 2025-09-07T07:29:21.1503652Z Entering 'third_party/nlohmann' 2025-09-07T07:29:21.1545413Z Entering 'third_party/onnx' 2025-09-07T07:29:21.1815235Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:29:21.1850602Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:29:21.1900522Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:29:21.1929661Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:29:21.1960245Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:29:21.1987765Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:29:21.2025598Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:29:21.2054515Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:29:21.2083366Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:29:21.2111835Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:29:21.2153933Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:29:21.2186980Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:29:21.2396292Z Entering 'third_party/pocketfft' 2025-09-07T07:29:21.2426414Z Entering 'third_party/protobuf' 2025-09-07T07:29:21.2494453Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:29:21.2523356Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:29:21.2557728Z Entering 'third_party/psimd' 2025-09-07T07:29:21.2587273Z Entering 'third_party/pthreadpool' 2025-09-07T07:29:21.2617577Z Entering 'third_party/pybind11' 2025-09-07T07:29:21.2650901Z Entering 'third_party/python-peachpy' 2025-09-07T07:29:21.2682536Z Entering 'third_party/sleef' 2025-09-07T07:29:21.2715378Z Entering 'third_party/tensorpipe' 2025-09-07T07:29:21.2748047Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:29:21.2778893Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:29:21.2806768Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:29:21.2838723Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:29:21.2867234Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:29:21.3019768Z Prepare all required actions 2025-09-07T07:29:21.3020326Z Getting action download info 2025-09-07T07:29:21.4288373Z ##[group]Run ./.github/actions/setup-linux 2025-09-07T07:29:21.4288647Z env: 2025-09-07T07:29:21.4288825Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:21.4289035Z ##[endgroup] 2025-09-07T07:29:21.4324994Z ##[group]Run set -euo pipefail 2025-09-07T07:29:21.4325291Z set -euo pipefail 2025-09-07T07:29:21.4325535Z function get_ec2_metadata() { 2025-09-07T07:29:21.4325853Z  # Pulled from instance metadata endpoint for EC2 2025-09-07T07:29:21.4326400Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-09-07T07:29:21.4326896Z  category=$1 2025-09-07T07:29:21.4327203Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-09-07T07:29:21.4327819Z  runner_name_str=i-06e731cf93e583fbf 2025-09-07T07:29:21.4328128Z  if [[ -f /.inarc ]]; then 2025-09-07T07:29:21.4328423Z  echo "ARC Runner, no info on ec2 metadata" 2025-09-07T07:29:21.4328752Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-09-07T07:29:21.4329159Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-09-07T07:29:21.4329520Z  else 2025-09-07T07:29:21.4330268Z  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}" 2025-09-07T07:29:21.4331060Z  fi 2025-09-07T07:29:21.4331229Z } 2025-09-07T07:29:21.4331445Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-09-07T07:29:21.4331809Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-09-07T07:29:21.4332221Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-09-07T07:29:21.4332569Z echo "system info $(uname -a)" 2025-09-07T07:29:21.4339574Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:21.4339893Z env: 2025-09-07T07:29:21.4340068Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:21.4340278Z ##[endgroup] 2025-09-07T07:29:21.4468661Z ami-id: ami-022bbd2ccaf21691f 2025-09-07T07:29:21.4557142Z instance-id: i-06e731cf93e583fbf 2025-09-07T07:29:21.4644255Z instance-type: m7g.metal 2025-09-07T07:29:21.4654291Z system info Linux ip-10-0-19-251.ec2.internal 6.1.141-155.222.amzn2023.aarch64 #1 SMP Tue Jun 17 10:29:19 UTC 2025 aarch64 aarch64 aarch64 GNU/Linux 2025-09-07T07:29:21.4700274Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:29:21.4701082Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:29:21.4707097Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:21.4707422Z env: 2025-09-07T07:29:21.4707592Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:21.4707803Z ##[endgroup] 2025-09-07T07:29:21.4753378Z ##[group]Run if systemctl is-active --quiet docker; then 2025-09-07T07:29:21.4753765Z if systemctl is-active --quiet docker; then 2025-09-07T07:29:21.4754088Z  echo "Docker daemon is running..."; 2025-09-07T07:29:21.4754361Z else 2025-09-07T07:29:21.4754664Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-09-07T07:29:21.4755022Z fi 2025-09-07T07:29:21.4760595Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:21.4760917Z env: 2025-09-07T07:29:21.4761106Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:21.4761319Z ##[endgroup] 2025-09-07T07:29:21.4831540Z Docker daemon is running... 2025-09-07T07:29:21.4866071Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T07:29:21.4866498Z with: 2025-09-07T07:29:21.4866745Z shell: bash 2025-09-07T07:29:21.4867203Z timeout_minutes: 5 2025-09-07T07:29:21.4867525Z max_attempts: 3 2025-09-07T07:29:21.4867769Z retry_wait_seconds: 30 2025-09-07T07:29:21.4869829Z command: AWS_ACCOUNT_ID=$(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 2025-09-07T07:29:21.4871975Z polling_interval_seconds: 1 2025-09-07T07:29:21.4872262Z warning_on_retry: true 2025-09-07T07:29:21.4872659Z continue_on_error: false 2025-09-07T07:29:21.4872973Z env: 2025-09-07T07:29:21.4873185Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:21.4873502Z AWS_RETRY_MODE: standard 2025-09-07T07:29:21.4873793Z AWS_MAX_ATTEMPTS: 5 2025-09-07T07:29:21.4874063Z AWS_DEFAULT_REGION: us-east-1 2025-09-07T07:29:21.4874389Z ##[endgroup] 2025-09-07T07:29:22.6530331Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:29:22.6530963Z Configure a credential helper to remove this warning. See 2025-09-07T07:29:22.6531523Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:29:22.6531872Z 2025-09-07T07:29:22.6532041Z Login Succeeded 2025-09-07T07:29:22.7043340Z Command completed after 1 attempt(s). 2025-09-07T07:29:22.7098090Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:29:22.7098902Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:29:22.7099444Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:29:22.7108112Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:22.7108556Z env: 2025-09-07T07:29:22.7108778Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:22.7109034Z ##[endgroup] 2025-09-07T07:29:22.7197668Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T07:29:22.7198150Z # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T07:29:22.7198515Z # shellcheck disable=SC2046 2025-09-07T07:29:22.7198800Z docker stop $(docker ps -q) || true 2025-09-07T07:29:22.7199091Z # Prune all of the docker images 2025-09-07T07:29:22.7199360Z docker system prune -af 2025-09-07T07:29:22.7205375Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:22.7205692Z env: 2025-09-07T07:29:22.7205866Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:22.7206079Z ##[endgroup] 2025-09-07T07:29:22.7530781Z "docker stop" requires at least 1 argument. 2025-09-07T07:29:22.7531107Z See 'docker stop --help'. 2025-09-07T07:29:22.7531262Z 2025-09-07T07:29:22.7531417Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-09-07T07:29:22.7531656Z 2025-09-07T07:29:22.7531753Z Stop one or more running containers 2025-09-07T07:29:22.7686258Z Total reclaimed space: 0B 2025-09-07T07:29:22.7716176Z ##[group]Run set +e 2025-09-07T07:29:22.7716407Z set +e 2025-09-07T07:29:22.7716595Z set -x 2025-09-07T07:29:22.7716778Z  2025-09-07T07:29:22.7716981Z PT_DOMAIN=download.pytorch.org 2025-09-07T07:29:22.7717481Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-09-07T07:29:22.7718138Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-09-07T07:29:22.7718592Z # one is returned at random 2025-09-07T07:29:22.7718928Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-09-07T07:29:22.7719258Z  2025-09-07T07:29:22.7719446Z if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T07:29:22.7720109Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-09-07T07:29:22.7720677Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-09-07T07:29:22.7721006Z  2025-09-07T07:29:22.7721196Z  if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T07:29:22.7721524Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-09-07T07:29:22.7721847Z  exit 1 2025-09-07T07:29:22.7722121Z  fi 2025-09-07T07:29:22.7722291Z fi 2025-09-07T07:29:22.7722455Z  2025-09-07T07:29:22.7722673Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-09-07T07:29:22.7722988Z  # Clean up any old records first 2025-09-07T07:29:22.7723292Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-09-07T07:29:22.7723567Z fi 2025-09-07T07:29:22.7723902Z  2025-09-07T07:29:22.7724164Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-09-07T07:29:22.7724502Z cat /etc/hosts 2025-09-07T07:29:22.7731078Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:22.7731398Z env: 2025-09-07T07:29:22.7731576Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:22.7731788Z ##[endgroup] 2025-09-07T07:29:22.7753729Z + PT_DOMAIN=download.pytorch.org 2025-09-07T07:29:22.7758664Z ++ dig -4 +short download.pytorch.org 2025-09-07T07:29:22.7759469Z ++ tail -n1 2025-09-07T07:29:22.8157846Z + RESOLVED_IP=18.160.10.22 2025-09-07T07:29:22.8158195Z + '[' -z 18.160.10.22 ']' 2025-09-07T07:29:22.8158448Z + grep -r download.pytorch.org /etc/hosts 2025-09-07T07:29:22.8172493Z + echo '18.160.10.22 download.pytorch.org' 2025-09-07T07:29:22.8173158Z + sudo tee -a /etc/hosts 2025-09-07T07:29:23.0496470Z 18.160.10.22 download.pytorch.org 2025-09-07T07:29:23.0513213Z + cat /etc/hosts 2025-09-07T07:29:23.0521297Z 127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4 2025-09-07T07:29:23.0526010Z ::1 localhost6 localhost6.localdomain6 2025-09-07T07:29:23.0526337Z 18.160.10.22 download.pytorch.org 2025-09-07T07:29:23.0676035Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-09-07T07:29:23.0676485Z with: 2025-09-07T07:29:23.0677256Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:23.0678125Z use-custom-docker-registry: true 2025-09-07T07:29:23.0678383Z docker-build-dir: .ci/docker 2025-09-07T07:29:23.0678629Z docker-build-script: ./build.sh 2025-09-07T07:29:23.0678876Z working-directory: . 2025-09-07T07:29:23.0679167Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:23.0679498Z force-push: false 2025-09-07T07:29:23.0679677Z env: 2025-09-07T07:29:23.0679862Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:23.0680071Z ##[endgroup] 2025-09-07T07:29:23.0696442Z ##[group]Run set -ex 2025-09-07T07:29:23.0696692Z set -ex 2025-09-07T07:29:23.0696871Z  2025-09-07T07:29:23.0697230Z # If the docker build directory or the build script doesn't exist, the action will 2025-09-07T07:29:23.0697802Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-09-07T07:29:23.0698285Z # job could then download the pre-built image as usual 2025-09-07T07:29:23.0698879Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-09-07T07:29:23.0699438Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:23.0699711Z else 2025-09-07T07:29:23.0699937Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:23.0700317Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:23.0700667Z  2025-09-07T07:29:23.0701144Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-09-07T07:29:23.0701689Z  exit 0 2025-09-07T07:29:23.0701870Z fi 2025-09-07T07:29:23.0702038Z  2025-09-07T07:29:23.0702320Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-09-07T07:29:23.0702839Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-09-07T07:29:23.0703297Z  # use it as it is, but first let's extract the tag 2025-09-07T07:29:23.0703713Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-09-07T07:29:23.0704151Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:23.0704571Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:23.0705187Z else 2025-09-07T07:29:23.0705411Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-09-07T07:29:23.0705736Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-09-07T07:29:23.0706074Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-09-07T07:29:23.0706357Z  fi 2025-09-07T07:29:23.0706739Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-09-07T07:29:23.0707266Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:23.0707814Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:23.0708414Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:23.0708774Z fi 2025-09-07T07:29:23.0717394Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:23.0717711Z env: 2025-09-07T07:29:23.0717898Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:23.0718117Z REPO_NAME: pytorch 2025-09-07T07:29:23.0719041Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:23.0719901Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T07:29:23.0720146Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-09-07T07:29:23.0720468Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:23.0720806Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-09-07T07:29:23.0721050Z CUSTOM_TAG_PREFIX: 2025-09-07T07:29:23.0721246Z ##[endgroup] 2025-09-07T07:29:23.0745432Z + [[ -d .ci/docker ]] 2025-09-07T07:29:23.0745663Z + [[ -f .ci/docker/./build.sh ]] 2025-09-07T07:29:23.0745897Z + [[ true == \t\r\u\e ]] 2025-09-07T07:29:23.0746103Z + echo skip=false 2025-09-07T07:29:23.0748059Z + [[ 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* ]] 2025-09-07T07:29:23.0752715Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:23.0753523Z ++ awk -F '[:,]' '{print $2}' 2025-09-07T07:29:23.0826714Z + DOCKER_TAG=pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:23.0827659Z + echo docker-tag=pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:23.0828859Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:23.0850021Z ##[group]Run set +e 2025-09-07T07:29:23.0850261Z set +e 2025-09-07T07:29:23.0850457Z set -x 2025-09-07T07:29:23.0850633Z  2025-09-07T07:29:23.0850794Z login() { 2025-09-07T07:29:23.0851212Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T07:29:23.0851658Z } 2025-09-07T07:29:23.0851823Z  2025-09-07T07:29:23.0851985Z retry () { 2025-09-07T07:29:23.0852210Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T07:29:23.0852473Z } 2025-09-07T07:29:23.0852636Z  2025-09-07T07:29:23.0852824Z retry login "${DOCKER_REGISTRY}" 2025-09-07T07:29:23.0853076Z  2025-09-07T07:29:23.0853254Z START_TIME=$(date +%s) 2025-09-07T07:29:23.0853498Z # Wait up to 120 minutes 2025-09-07T07:29:23.0853809Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-09-07T07:29:23.0854227Z  # Check if image already exists, if it does then skip building it 2025-09-07T07:29:23.0854858Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-09-07T07:29:23.0855160Z  exit 0 2025-09-07T07:29:23.0855350Z  fi 2025-09-07T07:29:23.0855523Z  2025-09-07T07:29:23.0855850Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-09-07T07:29:23.0856426Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-09-07T07:29:23.0856996Z  # latter, it will wait for the Docker images to become available before continuing 2025-09-07T07:29:23.0857438Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-09-07T07:29:23.0857773Z  # It's a Docker build job, let's build the image 2025-09-07T07:29:23.0858062Z  break 2025-09-07T07:29:23.0858250Z  else 2025-09-07T07:29:23.0858538Z  # It's a regular build job, wait for the image to become available 2025-09-07T07:29:23.0858890Z  sleep 300 2025-09-07T07:29:23.0859091Z  fi 2025-09-07T07:29:23.0859265Z done 2025-09-07T07:29:23.0859437Z  2025-09-07T07:29:23.0859899Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-09-07T07:29:23.0860402Z # be empty. The default action would be to continue rebuild the image 2025-09-07T07:29:23.0860844Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-09-07T07:29:23.0861235Z  # if we're on the base branch then use the parent commit 2025-09-07T07:29:23.0861577Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-09-07T07:29:23.0861836Z else 2025-09-07T07:29:23.0862110Z  # otherwise we're on a PR, so use the most recent base commit 2025-09-07T07:29:23.0862516Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-09-07T07:29:23.0862814Z fi 2025-09-07T07:29:23.0862977Z  2025-09-07T07:29:23.0863164Z if [[ -z "${MERGE_BASE}" ]]; then 2025-09-07T07:29:23.0863469Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:23.0863743Z  2025-09-07T07:29:23.0864261Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-09-07T07:29:23.0864737Z  exit 0 2025-09-07T07:29:23.0864915Z fi 2025-09-07T07:29:23.0865080Z  2025-09-07T07:29:23.0865338Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-09-07T07:29:23.0865922Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-09-07T07:29:23.0866417Z  exit 1 2025-09-07T07:29:23.0866596Z fi 2025-09-07T07:29:23.0866763Z  2025-09-07T07:29:23.0867065Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-09-07T07:29:23.0867631Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-09-07T07:29:23.0868141Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-09-07T07:29:23.0868729Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-09-07T07:29:23.0869394Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-09-07T07:29:23.0869777Z fi 2025-09-07T07:29:23.0869944Z  2025-09-07T07:29:23.0870159Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:29:23.0876118Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:23.0876430Z env: 2025-09-07T07:29:23.0876605Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:23.0876832Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T07:29:23.0877119Z BASE_REVISION: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:29:23.0877994Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:23.0879311Z DOCKER_TAG: pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:23.0879980Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:23.0880319Z DOCKER_PUSH: 2025-09-07T07:29:23.0880495Z ##[endgroup] 2025-09-07T07:29:23.0902540Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:23.0902920Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:23.0905225Z + aws ecr get-login-password --region us-east-1 2025-09-07T07:29:23.0906131Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:23.5517084Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:29:23.5517612Z Configure a credential helper to remove this warning. See 2025-09-07T07:29:23.5518125Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:29:23.5518462Z 2025-09-07T07:29:23.5519950Z Login Succeeded 2025-09-07T07:29:23.5537626Z ++ date +%s 2025-09-07T07:29:23.5547085Z + START_TIME=1757230163 2025-09-07T07:29:23.5549670Z ++ date +%s 2025-09-07T07:29:23.5557700Z + [[ 1757222963 -lt 1757230163 ]] 2025-09-07T07:29:23.5558552Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:23.7851941Z { 2025-09-07T07:29:23.7852133Z "schemaVersion": 2, 2025-09-07T07:29:23.7852486Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-09-07T07:29:23.7852855Z "config": { 2025-09-07T07:29:23.7853131Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-09-07T07:29:23.7853476Z "size": 30319, 2025-09-07T07:29:23.7853839Z "digest": 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"sha256:8a28267fa33261af473c2c4f617903a0c7af7cf2203014da2f37b5dd58aac207" 2025-09-07T07:29:23.7980824Z }, 2025-09-07T07:29:23.7980970Z { 2025-09-07T07:29:23.7981242Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:29:23.7981593Z "size": 125, 2025-09-07T07:29:23.7981941Z "digest": "sha256:89735be27bd4dc00abc5df9a6483a79fe2dd2df2e86d6fa7db0fc871b1a6df57" 2025-09-07T07:29:23.7982341Z } 2025-09-07T07:29:23.7982489Z ] 2025-09-07T07:29:23.7982633Z } 2025-09-07T07:29:23.7982795Z + exit 0 2025-09-07T07:29:23.8019572Z ##[group]Run set -eux 2025-09-07T07:29:23.8019800Z set -eux 2025-09-07T07:29:23.8020161Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-09-07T07:29:23.8021157Z 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 2025-09-07T07:29:23.8028509Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:23.8028834Z env: 2025-09-07T07:29:23.8029010Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:23.8029222Z ##[endgroup] 2025-09-07T07:29:23.8055974Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-09-07T07:29:23.8056552Z + jq --raw-output .SecretString 2025-09-07T07:29:23.8057501Z + jq -r .docker_hub_readonly_token 2025-09-07T07:29:23.8058342Z + docker login --username pytorchbot --password-stdin 2025-09-07T07:29:24.3684917Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:29:24.3685447Z Configure a credential helper to remove this warning. See 2025-09-07T07:29:24.3685947Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:29:24.3686287Z 2025-09-07T07:29:24.3687502Z Login Succeeded 2025-09-07T07:29:24.3764844Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T07:29:24.3765236Z tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T07:29:24.3765773Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-09-07T07:29:24.3772323Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:24.3772641Z env: 2025-09-07T07:29:24.3772817Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:24.3773621Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:24.3774438Z ##[endgroup] 2025-09-07T07:29:24.3799204Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:24.3839465Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-09-07T07:29:24.3839870Z with: 2025-09-07T07:29:24.3840619Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:24.3841541Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:24.3841865Z env: 2025-09-07T07:29:24.3842039Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:24.3842247Z ##[endgroup] 2025-09-07T07:29:24.3855315Z ##[group]Run set -x 2025-09-07T07:29:24.3855535Z set -x 2025-09-07T07:29:24.3855716Z set +e 2025-09-07T07:29:24.3855894Z  2025-09-07T07:29:24.3856057Z login() { 2025-09-07T07:29:24.3856469Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T07:29:24.3856908Z } 2025-09-07T07:29:24.3857073Z  2025-09-07T07:29:24.3857263Z retry () { 2025-09-07T07:29:24.3857491Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T07:29:24.3857748Z } 2025-09-07T07:29:24.3857910Z  2025-09-07T07:29:24.3858098Z retry login "${DOCKER_REGISTRY}" 2025-09-07T07:29:24.3858348Z  2025-09-07T07:29:24.3858755Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-09-07T07:29:24.3859329Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-09-07T07:29:24.3859641Z  2025-09-07T07:29:24.3859806Z set -e 2025-09-07T07:29:24.3860091Z # ignore output since only exit code is used for conditional 2025-09-07T07:29:24.3860508Z # only pull docker image if it's not available locally 2025-09-07T07:29:24.3860976Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-09-07T07:29:24.3861410Z  retry docker pull "${DOCKER_IMAGE}" 2025-09-07T07:29:24.3861675Z fi 2025-09-07T07:29:24.3867626Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:29:24.3867938Z env: 2025-09-07T07:29:24.3868109Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:29:24.3868906Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:24.3869815Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:24.3870136Z ##[endgroup] 2025-09-07T07:29:24.3891208Z + set +e 2025-09-07T07:29:24.3891460Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:24.3891824Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:24.3894275Z + aws ecr get-login-password --region us-east-1 2025-09-07T07:29:24.3895273Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:29:24.8384908Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:29:24.8385426Z Configure a credential helper to remove this warning. See 2025-09-07T07:29:24.8385914Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:29:24.8386248Z 2025-09-07T07:29:24.8386568Z Login Succeeded 2025-09-07T07:29:24.8407029Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:24.8407945Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-09-07T07:29:25.0228536Z + IMAGE_SIZE=16908.71542263031 2025-09-07T07:29:25.0228856Z + echo 'Compressed size of image in MB: 16908.71542263031' 2025-09-07T07:29:25.0229163Z + set -e 2025-09-07T07:29:25.0229385Z Compressed size of image in MB: 16908.71542263031 2025-09-07T07:29:25.0230671Z + 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 2025-09-07T07:29:25.0348835Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:25.0350275Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:29:25.2496663Z pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77: Pulling from pytorch/ci-image 2025-09-07T07:29:25.2497395Z 8bbfefac75f4: Pulling fs layer 2025-09-07T07:29:25.2497642Z 1034e845500b: Pulling fs layer 2025-09-07T07:29:25.2497886Z 7108634f1291: Pulling fs layer 2025-09-07T07:29:25.2498120Z 9f402ac333db: Pulling fs layer 2025-09-07T07:29:25.2498358Z b2a4ed722058: Pulling fs layer 2025-09-07T07:29:25.2498609Z d96fa71aa7d0: Pulling fs layer 2025-09-07T07:29:25.2498844Z ab8dd3557a1f: Pulling fs layer 2025-09-07T07:29:25.2499079Z fd99b0dcee89: Pulling fs layer 2025-09-07T07:29:25.2499313Z f7b4a101181d: Pulling fs layer 2025-09-07T07:29:25.2499543Z aae584ec1580: Pulling fs layer 2025-09-07T07:29:25.2499777Z 4906db9d12bf: Pulling fs layer 2025-09-07T07:29:25.2500051Z cc22251711f7: Pulling fs layer 2025-09-07T07:29:25.2500278Z 7022473e3fe9: Pulling fs layer 2025-09-07T07:29:25.2500506Z 44dfb511788f: Pulling fs layer 2025-09-07T07:29:25.2500736Z 4f4fb700ef54: Pulling fs layer 2025-09-07T07:29:25.2500969Z 20ee7a042819: Pulling fs layer 2025-09-07T07:29:25.2501191Z b2a4ed722058: Waiting 2025-09-07T07:29:25.2501405Z 1acbc52cc958: Pulling fs layer 2025-09-07T07:29:25.2501633Z 56a48ab89702: Pulling fs layer 2025-09-07T07:29:25.2501866Z 3f2a38e8e42c: Pulling fs layer 2025-09-07T07:29:25.2502095Z 67060a7526c7: Pulling fs layer 2025-09-07T07:29:25.2502321Z d96fa71aa7d0: Waiting 2025-09-07T07:29:25.2502527Z fd99b0dcee89: Waiting 2025-09-07T07:29:25.2502735Z 5044c8e66435: Pulling fs layer 2025-09-07T07:29:25.2502969Z e8e3b05e8ebf: Pulling fs layer 2025-09-07T07:29:25.2503204Z f1f79ed6e837: Pulling fs layer 2025-09-07T07:29:25.2503433Z e9247cb8405c: Pulling fs layer 2025-09-07T07:29:25.2503663Z 9c69a27176e5: Pulling fs layer 2025-09-07T07:29:25.2503882Z 44dfb511788f: Waiting 2025-09-07T07:29:25.2504084Z cc22251711f7: Waiting 2025-09-07T07:29:25.2504273Z ab8dd3557a1f: Waiting 2025-09-07T07:29:25.2504484Z e7fb26a8f333: Pulling fs layer 2025-09-07T07:29:25.2504726Z afdfb47fc1ed: Pulling fs layer 2025-09-07T07:29:25.2504952Z 4f4fb700ef54: Waiting 2025-09-07T07:29:25.2505143Z f7b4a101181d: Waiting 2025-09-07T07:29:25.2505350Z 488b5af903b5: Pulling fs layer 2025-09-07T07:29:25.2505575Z 4906db9d12bf: Waiting 2025-09-07T07:29:25.2505773Z aae584ec1580: Waiting 2025-09-07T07:29:25.2505976Z 36e30b1c2982: Pulling fs layer 2025-09-07T07:29:25.2506200Z 20ee7a042819: Waiting 2025-09-07T07:29:25.2506394Z 7022473e3fe9: Waiting 2025-09-07T07:29:25.2506608Z 05ee2b3d005a: Pulling fs layer 2025-09-07T07:29:25.2506828Z 67060a7526c7: Waiting 2025-09-07T07:29:25.2507021Z 56a48ab89702: Waiting 2025-09-07T07:29:25.2507229Z 6ffeb6d1993e: Pulling fs layer 2025-09-07T07:29:25.2507453Z 3f2a38e8e42c: Waiting 2025-09-07T07:29:25.2507644Z 5044c8e66435: Waiting 2025-09-07T07:29:25.2507851Z afeef50b4508: Pulling fs layer 2025-09-07T07:29:25.2508381Z 3fcf510a2172: Pulling fs layer 2025-09-07T07:29:25.2508615Z d1b4c895928e: Pulling fs layer 2025-09-07T07:29:25.2518515Z 69ec6a4b91e8: Pulling fs layer 2025-09-07T07:29:25.2518839Z 488b5af903b5: Waiting 2025-09-07T07:29:25.2519036Z e9247cb8405c: Waiting 2025-09-07T07:29:25.2519227Z f1f79ed6e837: Waiting 2025-09-07T07:29:25.2519416Z 36e30b1c2982: Waiting 2025-09-07T07:29:25.2519616Z 102375337d73: Pulling fs layer 2025-09-07T07:29:25.2519836Z 05ee2b3d005a: Waiting 2025-09-07T07:29:25.2520026Z 9c69a27176e5: Waiting 2025-09-07T07:29:25.2520254Z e7fb26a8f333: Waiting 2025-09-07T07:29:25.2520723Z 4accd97ef2e2: Pulling fs layer 2025-09-07T07:29:25.2520979Z 9ee269fa5570: Pulling fs layer 2025-09-07T07:29:25.2521196Z 9f402ac333db: Waiting 2025-09-07T07:29:25.2521401Z d193fbc9ee81: Pulling fs layer 2025-09-07T07:29:25.2521629Z 99a2462c8c29: Pulling fs layer 2025-09-07T07:29:25.2521860Z fe1294e18ed0: Pulling fs layer 2025-09-07T07:29:25.2522080Z 6ffeb6d1993e: Waiting 2025-09-07T07:29:25.2522287Z 4accd97ef2e2: Waiting 2025-09-07T07:29:25.2522477Z afeef50b4508: Waiting 2025-09-07T07:29:25.2522672Z e8e3b05e8ebf: Waiting 2025-09-07T07:29:25.2522866Z 3fcf510a2172: Waiting 2025-09-07T07:29:25.2523070Z f379f1cd3010: Pulling fs layer 2025-09-07T07:29:25.2523287Z d1b4c895928e: Waiting 2025-09-07T07:29:25.2523494Z 6ae93e16ed4e: Pulling fs layer 2025-09-07T07:29:25.2523725Z f995c3109bd8: Pulling fs layer 2025-09-07T07:29:25.2523943Z f379f1cd3010: Waiting 2025-09-07T07:29:25.2524130Z 9ee269fa5570: Waiting 2025-09-07T07:29:25.2524322Z fe1294e18ed0: Waiting 2025-09-07T07:29:25.2524524Z 058384795bac: Pulling fs layer 2025-09-07T07:29:25.2524745Z 6ae93e16ed4e: Waiting 2025-09-07T07:29:25.2524942Z f995c3109bd8: Waiting 2025-09-07T07:29:25.2525146Z 3e762f827dd1: Pulling fs layer 2025-09-07T07:29:25.2525367Z 058384795bac: Waiting 2025-09-07T07:29:25.2525554Z 3e762f827dd1: Waiting 2025-09-07T07:29:25.2525759Z 6acfbf2cdc17: Pulling fs layer 2025-09-07T07:29:25.2525992Z 1e43a43b4f06: Pulling fs layer 2025-09-07T07:29:25.2526231Z 968c538d5104: Pulling fs layer 2025-09-07T07:29:25.2526445Z d193fbc9ee81: Waiting 2025-09-07T07:29:25.2526639Z 99a2462c8c29: Waiting 2025-09-07T07:29:25.2526832Z 6acfbf2cdc17: Waiting 2025-09-07T07:29:25.2527027Z 1e43a43b4f06: Waiting 2025-09-07T07:29:25.2527212Z 968c538d5104: Waiting 2025-09-07T07:29:25.2527400Z 102375337d73: Waiting 2025-09-07T07:29:25.2527600Z 575807ea3b5f: Pulling fs layer 2025-09-07T07:29:25.2527832Z 6a61bbb32004: Pulling fs layer 2025-09-07T07:29:25.2528060Z f88dbb5c90de: Pulling fs layer 2025-09-07T07:29:25.2528280Z 575807ea3b5f: Waiting 2025-09-07T07:29:25.2528473Z 6a61bbb32004: Waiting 2025-09-07T07:29:25.2528681Z 08443826e2c5: Pulling fs layer 2025-09-07T07:29:25.2528905Z 923b78b30294: Pulling fs layer 2025-09-07T07:29:25.2529136Z 0751aba37e5a: Pulling fs layer 2025-09-07T07:29:25.2529357Z afdfb47fc1ed: Waiting 2025-09-07T07:29:25.2529561Z f88dbb5c90de: Waiting 2025-09-07T07:29:25.2529750Z 08443826e2c5: Waiting 2025-09-07T07:29:25.2529952Z fbe315c5491d: Pulling fs layer 2025-09-07T07:29:25.2530182Z 923b78b30294: Waiting 2025-09-07T07:29:25.2530370Z 0751aba37e5a: Waiting 2025-09-07T07:29:25.2530569Z af69784d4cfc: Pulling fs layer 2025-09-07T07:29:25.2530802Z 91e4deab4f89: Pulling fs layer 2025-09-07T07:29:25.2531034Z c1d56a01ea40: Pulling fs layer 2025-09-07T07:29:25.2531266Z 9ad931d990d4: Pulling fs layer 2025-09-07T07:29:25.2531492Z df5b3d079e9e: Pulling fs layer 2025-09-07T07:29:25.2531712Z fbe315c5491d: Waiting 2025-09-07T07:29:25.2531916Z 24f5a79527e3: Pulling fs layer 2025-09-07T07:29:25.2532134Z af69784d4cfc: Waiting 2025-09-07T07:29:25.2532326Z 91e4deab4f89: Waiting 2025-09-07T07:29:25.2532527Z c1d56a01ea40: Waiting 2025-09-07T07:29:25.2532725Z 9ad931d990d4: Waiting 2025-09-07T07:29:25.2532920Z df5b3d079e9e: Waiting 2025-09-07T07:29:25.2533121Z 4166cbf927c3: Pulling fs layer 2025-09-07T07:29:25.2533349Z d243494d377d: Pulling fs layer 2025-09-07T07:29:25.2533576Z 8a28267fa332: Pulling fs layer 2025-09-07T07:29:25.2533801Z 89735be27bd4: Pulling fs layer 2025-09-07T07:29:25.2534174Z 24f5a79527e3: Waiting 2025-09-07T07:29:25.2534370Z 4166cbf927c3: Waiting 2025-09-07T07:29:25.2534560Z 89735be27bd4: Waiting 2025-09-07T07:29:25.2534744Z d243494d377d: Waiting 2025-09-07T07:29:25.2534936Z 8a28267fa332: Waiting 2025-09-07T07:29:25.3262769Z 1034e845500b: Download complete 2025-09-07T07:29:25.3787651Z 9f402ac333db: Verifying Checksum 2025-09-07T07:29:25.3787905Z 9f402ac333db: Download complete 2025-09-07T07:29:25.4410244Z b2a4ed722058: Verifying Checksum 2025-09-07T07:29:25.4410494Z b2a4ed722058: Download complete 2025-09-07T07:29:25.5066607Z d96fa71aa7d0: Verifying Checksum 2025-09-07T07:29:25.5067127Z d96fa71aa7d0: Download complete 2025-09-07T07:29:25.5749184Z 8bbfefac75f4: Verifying Checksum 2025-09-07T07:29:25.5749434Z 8bbfefac75f4: Download complete 2025-09-07T07:29:25.5851617Z ab8dd3557a1f: Download complete 2025-09-07T07:29:25.6494609Z fd99b0dcee89: Verifying Checksum 2025-09-07T07:29:25.6494881Z fd99b0dcee89: Download complete 2025-09-07T07:29:25.6538235Z f7b4a101181d: Verifying Checksum 2025-09-07T07:29:25.6538495Z f7b4a101181d: Download complete 2025-09-07T07:29:25.7320830Z 4906db9d12bf: Verifying Checksum 2025-09-07T07:29:25.7321110Z 4906db9d12bf: Download complete 2025-09-07T07:29:25.7510185Z aae584ec1580: Verifying Checksum 2025-09-07T07:29:25.7510454Z aae584ec1580: Download complete 2025-09-07T07:29:25.8054073Z cc22251711f7: Verifying Checksum 2025-09-07T07:29:25.8054318Z cc22251711f7: Download complete 2025-09-07T07:29:25.8179288Z 7022473e3fe9: Download complete 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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 2025-09-07T07:33:54.0403117Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:33:54.0468252Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:33:54.0469155Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:33:54.0479163Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:33:54.0479476Z env: 2025-09-07T07:33:54.0479655Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:54.0479869Z ##[endgroup] 2025-09-07T07:33:54.0562476Z Prepare all required actions 2025-09-07T07:33:54.0591931Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-09-07T07:33:54.0592216Z with: 2025-09-07T07:33:54.0592737Z github-token: *** 2025-09-07T07:33:54.0592941Z env: 2025-09-07T07:33:54.0593113Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:54.0593327Z ##[endgroup] 2025-09-07T07:33:54.0684047Z ##[group]Run set -eux 2025-09-07T07:33:54.0684266Z set -eux 2025-09-07T07:33:54.0684639Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T07:33:54.0691021Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:33:54.0691343Z env: 2025-09-07T07:33:54.0691519Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:54.0691897Z GITHUB_TOKEN: *** 2025-09-07T07:33:54.0692085Z ##[endgroup] 2025-09-07T07:33:54.0714348Z + python3 .github/scripts/get_workflow_job_id.py 17525321311 i-06e731cf93e583fbf 2025-09-07T07:33:55.2665389Z Setting output job-id=49775354783 2025-09-07T07:33:55.2666058Z Setting output job-name=linux-jammy-aarch64-py3.10-inductor / test (inductor_torchbench_perf_cpu_aarch64, 1, 15, linux.arm64.m7g.metal) 2025-09-07T07:33:55.2808206Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T07:33:55.2808886Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T07:33:55.2809712Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-09-07T07:33:55.2810444Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:33:55.2817304Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:33:55.2817618Z env: 2025-09-07T07:33:55.2817792Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:33:55.2818007Z JOB_ID: 49775354783 2025-09-07T07:33:55.2818501Z JOB_NAME: linux-jammy-aarch64-py3.10-inductor / test (inductor_torchbench_perf_cpu_aarch64, 1, 15, linux.arm64.m7g.metal) 2025-09-07T07:33:55.2819092Z WORKFLOW_NAME: inductor-perf-nightly-aarch64 2025-09-07T07:33:55.2819406Z WORKFLOW_RUN_ID: 17525321311 2025-09-07T07:33:55.2819640Z MONITOR_LOG_INTERVAL: 15 2025-09-07T07:33:55.2819867Z MONITOR_DATA_COLLECT_INTERVAL: 4 2025-09-07T07:33:55.2820104Z ##[endgroup] 2025-09-07T07:33:55.9758034Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T07:33:56.3153970Z Collecting psutil==5.9.8 2025-09-07T07:33:56.3512880Z Downloading psutil-5.9.8.tar.gz (503 kB) 2025-09-07T07:33:56.5993740Z Installing build dependencies: started 2025-09-07T07:33:59.3871065Z Installing build dependencies: finished with status 'done' 2025-09-07T07:33:59.3897510Z Getting requirements to build wheel: started 2025-09-07T07:33:59.9660951Z Getting requirements to build wheel: finished with status 'done' 2025-09-07T07:33:59.9670766Z Preparing metadata (pyproject.toml): started 2025-09-07T07:34:00.5902030Z Preparing metadata (pyproject.toml): finished with status 'done' 2025-09-07T07:34:00.6520893Z Collecting dataclasses_json==0.6.7 2025-09-07T07:34:00.6617849Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-09-07T07:34:00.7161284Z Collecting nvidia-ml-py==11.525.84 2025-09-07T07:34:00.7256643Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-09-07T07:34:00.8797035Z Collecting marshmallow<4.0.0,>=3.18.0 2025-09-07T07:34:00.8891726Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-09-07T07:34:01.0117629Z Collecting typing-inspect<1,>=0.4.0 2025-09-07T07:34:01.0214564Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-09-07T07:34:01.1691957Z Collecting packaging>=17.0 2025-09-07T07:34:01.1786403Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-09-07T07:34:01.2888404Z Collecting mypy-extensions>=0.3.0 2025-09-07T07:34:01.2986767Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-09-07T07:34:01.4352012Z Collecting typing-extensions>=3.7.4 2025-09-07T07:34:01.4449502Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-09-07T07:34:01.4980441Z Building wheels for collected packages: psutil 2025-09-07T07:34:01.4986581Z Building wheel for psutil (pyproject.toml): started 2025-09-07T07:34:01.7233469Z Building wheel for psutil (pyproject.toml): finished with status 'error' 2025-09-07T07:34:01.7234580Z ERROR: Command errored out with exit status 1: 2025-09-07T07:34:01.7235246Z command: /usr/bin/python3 /usr/lib/python3.9/site-packages/pip/_vendor/pep517/in_process/_in_process.py build_wheel /tmp/tmp4au3evq7 2025-09-07T07:34:01.7235975Z cwd: /tmp/pip-install-j80rxerx/psutil_05fc20c03de0403fae2028a8fa7ebeca 2025-09-07T07:34:01.7236358Z Complete output (59 lines): 2025-09-07T07:34:01.7237060Z /tmp/pip-build-env-r2f09ace/overlay/lib/python3.9/site-packages/setuptools/dist.py:759: SetuptoolsDeprecationWarning: License classifiers are deprecated. 2025-09-07T07:34:01.7237773Z !! 2025-09-07T07:34:01.7237931Z 2025-09-07T07:34:01.7238125Z ******************************************************************************** 2025-09-07T07:34:01.7238922Z Please consider removing the following classifiers in favor of a SPDX license expression: 2025-09-07T07:34:01.7239361Z 2025-09-07T07:34:01.7239586Z License :: OSI Approved :: BSD License 2025-09-07T07:34:01.7239846Z 2025-09-07T07:34:01.7240257Z See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details. 2025-09-07T07:34:01.7240791Z ******************************************************************************** 2025-09-07T07:34:01.7241058Z 2025-09-07T07:34:01.7241204Z !! 2025-09-07T07:34:01.7241388Z self._finalize_license_expression() 2025-09-07T07:34:01.7241650Z running bdist_wheel 2025-09-07T07:34:01.7241847Z running build 2025-09-07T07:34:01.7242030Z running build_py 2025-09-07T07:34:01.7242292Z creating build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:34:01.7242744Z copying psutil/_pswindows.py -> build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:34:01.7243272Z copying psutil/_pssunos.py -> build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:34:01.7243779Z copying psutil/_psposix.py -> build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:34:01.7244272Z copying psutil/_psosx.py -> build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:34:01.7244764Z copying psutil/_pslinux.py -> build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:34:01.7245254Z copying psutil/_psbsd.py -> build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:34:01.7245732Z copying psutil/_psaix.py -> build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:34:01.7246219Z copying psutil/_compat.py -> build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:34:01.7246703Z copying psutil/_common.py -> build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:34:01.7247190Z copying psutil/__init__.py -> build/lib.linux-aarch64-cpython-39/psutil 2025-09-07T07:34:01.7247634Z creating build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:34:01.7248153Z copying psutil/tests/test_windows.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:34:01.7248764Z copying psutil/tests/test_unicode.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:34:01.7249386Z copying psutil/tests/test_testutils.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:34:01.7250005Z copying psutil/tests/test_system.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:34:01.7250597Z copying psutil/tests/test_sunos.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:34:01.7251219Z copying psutil/tests/test_process_all.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:34:01.7251843Z copying psutil/tests/test_process.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:34:01.7252445Z copying psutil/tests/test_posix.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:34:01.7253025Z copying psutil/tests/test_osx.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:34:01.7253841Z copying psutil/tests/test_misc.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:34:01.7254441Z copying psutil/tests/test_memleaks.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:34:01.7255043Z copying psutil/tests/test_linux.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:34:01.7255654Z copying psutil/tests/test_contracts.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:34:01.7256293Z copying psutil/tests/test_connections.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:34:01.7256899Z copying psutil/tests/test_bsd.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:34:01.7257478Z copying psutil/tests/test_aix.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:34:01.7258055Z copying psutil/tests/runner.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:34:01.7258628Z copying psutil/tests/__main__.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:34:01.7259318Z copying psutil/tests/__init__.py -> build/lib.linux-aarch64-cpython-39/psutil/tests 2025-09-07T07:34:01.7259730Z running build_ext 2025-09-07T07:34:01.7259956Z building 'psutil._psutil_linux' extension 2025-09-07T07:34:01.7260291Z creating build/temp.linux-aarch64-cpython-39/psutil 2025-09-07T07:34:01.7260697Z creating build/temp.linux-aarch64-cpython-39/psutil/arch/linux 2025-09-07T07:34:01.7265627Z 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 2025-09-07T07:34:01.7270612Z psutil/_psutil_common.c:9:10: fatal error: Python.h: No such file or directory 2025-09-07T07:34:01.7270995Z 9 | #include 2025-09-07T07:34:01.7271217Z | ^~~~~~~~~~ 2025-09-07T07:34:01.7271451Z compilation terminated. 2025-09-07T07:34:01.7271903Z psutil could not be installed from sources. Perhaps Python header files are not installed. Try running: 2025-09-07T07:34:01.7272397Z sudo yum install gcc python3-devel 2025-09-07T07:34:01.7272713Z error: command '/usr/bin/gcc' failed with exit code 1 2025-09-07T07:34:01.7273027Z ---------------------------------------- 2025-09-07T07:34:01.7273300Z ERROR: Failed building wheel for psutil 2025-09-07T07:34:01.7273798Z ERROR: Could not build wheels for psutil, which is required to install pyproject.toml-based projects 2025-09-07T07:34:01.7274263Z Failed to build psutil 2025-09-07T07:34:01.7930488Z ##[error]Process completed with exit code 1. 2025-09-07T07:34:01.7983068Z Prepare all required actions 2025-09-07T07:34:01.7983458Z Getting action download info 2025-09-07T07:34:01.9402159Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-09-07T07:34:02.9717945Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-09-07T07:34:06.3788343Z ##[group]Run ./.github/actions/download-build-artifacts 2025-09-07T07:34:06.3788651Z with: 2025-09-07T07:34:06.3788845Z name: linux-jammy-aarch64-py3.10 2025-09-07T07:34:06.3789099Z s3-bucket: gha-artifacts 2025-09-07T07:34:06.3789308Z env: 2025-09-07T07:34:06.3789473Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:34:06.3789682Z ##[endgroup] 2025-09-07T07:34:06.3911453Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T07:34:06.3911734Z with: 2025-09-07T07:34:06.3911923Z name: linux-jammy-aarch64-py3.10 2025-09-07T07:34:06.3912182Z s3-bucket: gha-artifacts 2025-09-07T07:34:06.3912426Z region: us-east-1 2025-09-07T07:34:06.3912605Z env: 2025-09-07T07:34:06.3912775Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:34:06.3912985Z ##[endgroup] 2025-09-07T07:34:07.0868196Z (node:51827) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T07:34:07.0868649Z 2025-09-07T07:34:07.0868811Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T07:34:07.0869277Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T07:34:07.0869760Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T07:34:07.6642287Z Found 1 objects with prefix pytorch/pytorch/17525321311/linux-jammy-aarch64-py3.10/ 2025-09-07T07:34:07.6642893Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-09-07T07:34:10.7312700Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-09-07T07:34:10.7318597Z Artifact download has finished successfully 2025-09-07T07:34:10.7584333Z ##[group]Run unzip -o artifacts.zip 2025-09-07T07:34:10.7584618Z unzip -o artifacts.zip 2025-09-07T07:34:10.7591119Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:34:10.7591435Z env: 2025-09-07T07:34:10.7591630Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:34:10.7591845Z ##[endgroup] 2025-09-07T07:34:10.8186415Z Archive: 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2025-09-07T07:34:15.3823605Z inflating: build/bin/apply_utils_test 2025-09-07T07:34:15.3883922Z inflating: build/bin/atest 2025-09-07T07:34:15.3948044Z inflating: build/bin/basic 2025-09-07T07:34:15.4004486Z inflating: build/bin/broadcast_test 2025-09-07T07:34:15.4056523Z inflating: build/bin/cpu_allocator_test 2025-09-07T07:34:15.4115681Z inflating: build/bin/cpu_generator_test 2025-09-07T07:34:15.4170322Z inflating: build/bin/cpu_profiling_allocator_test 2025-09-07T07:34:15.4259191Z inflating: build/bin/cpu_rng_test 2025-09-07T07:34:15.4311574Z inflating: build/bin/dlconvertor_test 2025-09-07T07:34:15.4370583Z inflating: build/bin/extension_backend_test 2025-09-07T07:34:15.4426906Z inflating: build/bin/half_test 2025-09-07T07:34:15.4523624Z inflating: build/bin/ivalue_test 2025-09-07T07:34:15.4574988Z inflating: build/bin/lazy_tensor_test 2025-09-07T07:34:15.4629741Z inflating: build/bin/math_kernel_test 2025-09-07T07:34:15.4684545Z inflating: build/bin/memory_format_test 2025-09-07T07:34:15.4738963Z inflating: build/bin/memory_overlapping_test 2025-09-07T07:34:15.4793387Z inflating: build/bin/mobile_memory_cleanup 2025-09-07T07:34:15.4850105Z inflating: build/bin/native_test 2025-09-07T07:34:15.4901770Z inflating: build/bin/operator_name_test 2025-09-07T07:34:15.4953796Z inflating: build/bin/operators_test 2025-09-07T07:34:15.5007103Z inflating: build/bin/packedtensoraccessor_test 2025-09-07T07:34:15.5073929Z inflating: build/bin/pow_test 2025-09-07T07:34:15.5133129Z inflating: build/bin/quantized_test 2025-09-07T07:34:15.5184203Z inflating: build/bin/reduce_ops_test 2025-09-07T07:34:15.5236392Z inflating: build/bin/reportMemoryUsage_test 2025-09-07T07:34:15.5293864Z inflating: build/bin/scalar_tensor_test 2025-09-07T07:34:15.5352400Z inflating: build/bin/scalar_test 2025-09-07T07:34:15.5405262Z inflating: build/bin/StorageUtils_test 2025-09-07T07:34:15.5458516Z inflating: build/bin/stride_properties_test 2025-09-07T07:34:15.5539194Z inflating: build/bin/tensor_iterator_test 2025-09-07T07:34:15.5595388Z inflating: build/bin/test_parallel 2025-09-07T07:34:15.5647180Z inflating: build/bin/thread_init_test 2025-09-07T07:34:15.5702847Z inflating: build/bin/type_ptr_test 2025-09-07T07:34:15.5763114Z inflating: build/bin/type_test 2025-09-07T07:34:15.5816711Z inflating: build/bin/undefined_tensor_test 2025-09-07T07:34:15.5867449Z inflating: build/bin/verify_api_visibility 2025-09-07T07:34:15.5936857Z inflating: build/bin/legacy_vmap_test 2025-09-07T07:34:15.5989457Z inflating: build/bin/weakref_test 2025-09-07T07:34:15.6041981Z inflating: build/bin/wrapdim_test 2025-09-07T07:34:15.6094669Z inflating: build/bin/xla_tensor_test 2025-09-07T07:34:15.6155442Z inflating: build/bin/IListRef_test 2025-09-07T07:34:15.6266310Z inflating: build/bin/List_test 2025-09-07T07:34:15.6333367Z inflating: build/bin/KernelFunction_test 2025-09-07T07:34:15.6453596Z inflating: build/bin/kernel_function_legacy_test 2025-09-07T07:34:15.6548553Z inflating: build/bin/kernel_function_test 2025-09-07T07:34:15.6650167Z inflating: build/bin/kernel_lambda_test 2025-09-07T07:34:15.6774797Z inflating: build/bin/kernel_lambda_legacy_test 2025-09-07T07:34:15.6836328Z inflating: build/bin/kernel_stackbased_test 2025-09-07T07:34:15.6930828Z inflating: build/bin/make_boxed_from_unboxed_functor_test 2025-09-07T07:34:15.6983411Z inflating: build/bin/CppSignature_test 2025-09-07T07:34:15.7039705Z inflating: build/bin/backend_fallback_test 2025-09-07T07:34:15.7089613Z inflating: build/bin/op_allowlist_test 2025-09-07T07:34:15.7381307Z inflating: build/bin/op_registration_test 2025-09-07T07:34:15.7448008Z inflating: build/bin/inline_container_test 2025-09-07T07:34:15.8495449Z inflating: build/bin/test_jit 2025-09-07T07:34:15.8549459Z inflating: build/bin/FileStoreTest 2025-09-07T07:34:15.8603222Z inflating: build/bin/BackoffTest 2025-09-07T07:34:15.8660920Z inflating: build/bin/TCPStoreTest 2025-09-07T07:34:15.8715701Z inflating: build/bin/HashStoreTest 2025-09-07T07:34:15.9076490Z inflating: build/bin/test_nativert 2025-09-07T07:34:15.9079775Z inflating: build/bin/example_allreduce 2025-09-07T07:34:15.9146910Z inflating: build/bin/ProcessGroupGlooTest 2025-09-07T07:34:15.9203391Z inflating: build/bin/test_dist_autograd 2025-09-07T07:34:15.9272378Z inflating: build/bin/test_cpp_rpc 2025-09-07T07:34:16.0350636Z inflating: build/bin/test_api 2025-09-07T07:34:16.0352929Z inflating: build/bin/parallel_benchmark 2025-09-07T07:34:16.0702215Z inflating: build/bin/test_lazy 2025-09-07T07:34:16.0705971Z inflating: build/bin/torch_shm_manager 2025-09-07T07:34:16.0706263Z creating: .additional_ci_files/ 2025-09-07T07:34:16.0799955Z inflating: .additional_ci_files/test-times.json 2025-09-07T07:34:16.1151816Z inflating: .additional_ci_files/test-class-times.json 2025-09-07T07:34:16.1201733Z ##[group]Run rm artifacts.zip 2025-09-07T07:34:16.1202001Z rm artifacts.zip 2025-09-07T07:34:16.1208484Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:34:16.1208802Z env: 2025-09-07T07:34:16.1208974Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:34:16.1209183Z ##[endgroup] 2025-09-07T07:34:16.1566219Z ##[group]Run df -H 2025-09-07T07:34:16.1566415Z df -H 2025-09-07T07:34:16.1571968Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:34:16.1572289Z env: 2025-09-07T07:34:16.1572462Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:34:16.1572665Z ##[endgroup] 2025-09-07T07:34:16.1612046Z Filesystem Size Used Avail Use% Mounted on 2025-09-07T07:34:16.1612380Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-09-07T07:34:16.1612664Z tmpfs 135G 0 135G 0% /dev/shm 2025-09-07T07:34:16.1612949Z tmpfs 54G 9.4M 54G 1% /run 2025-09-07T07:34:16.1613219Z /dev/nvme0n1p1 275G 46G 229G 17% / 2025-09-07T07:34:16.1613506Z tmpfs 135G 13k 135G 1% /tmp 2025-09-07T07:34:16.1613807Z /dev/nvme0n1p128 11M 1.5M 9.1M 14% /boot/efi 2025-09-07T07:34:16.1645466Z Prepare all required actions 2025-09-07T07:34:16.1646476Z Getting action download info 2025-09-07T07:34:16.3005985Z ##[group]Run ./.github/actions/download-td-artifacts 2025-09-07T07:34:16.3006283Z with: 2025-09-07T07:34:16.3006444Z env: 2025-09-07T07:34:16.3006617Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:34:16.3006823Z ##[endgroup] 2025-09-07T07:34:16.3108149Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T07:34:16.3108432Z with: 2025-09-07T07:34:16.3108594Z name: td_results 2025-09-07T07:34:16.3108793Z s3-bucket: gha-artifacts 2025-09-07T07:34:16.3109011Z region: us-east-1 2025-09-07T07:34:16.3109187Z env: 2025-09-07T07:34:16.3109352Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:34:16.3109562Z ##[endgroup] 2025-09-07T07:34:16.6633410Z (node:51846) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T07:34:16.6634110Z 2025-09-07T07:34:16.6634308Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T07:34:16.6634774Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T07:34:16.6635254Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T07:34:16.7551483Z Found 0 objects with prefix pytorch/pytorch/17525321311/td_results/ 2025-09-07T07:34:16.7558267Z Artifact download has finished successfully 2025-09-07T07:34:16.7797595Z ##[group]Run mkdir -p .additional_ci_files 2025-09-07T07:34:16.7797915Z mkdir -p .additional_ci_files 2025-09-07T07:34:16.7798291Z mv td_results.json .additional_ci_files/td_results.json || true 2025-09-07T07:34:16.7804932Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:34:16.7805248Z env: 2025-09-07T07:34:16.7805424Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:34:16.7805638Z ##[endgroup] 2025-09-07T07:34:16.7850500Z mv: cannot stat 'td_results.json': No such file or directory 2025-09-07T07:34:16.7985261Z ##[group]Run .github/scripts/parse_ref.py 2025-09-07T07:34:16.7985621Z .github/scripts/parse_ref.py 2025-09-07T07:34:16.7991274Z shell: /usr/bin/bash -e {0} 2025-09-07T07:34:16.7991502Z env: 2025-09-07T07:34:16.7991673Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:34:16.7991883Z ##[endgroup] 2025-09-07T07:34:16.9092523Z Setting output branch=main 2025-09-07T07:34:16.9226817Z Prepare all required actions 2025-09-07T07:34:16.9227184Z Getting action download info 2025-09-07T07:34:17.0442446Z ##[group]Run ./.github/actions/filter-test-configs 2025-09-07T07:34:17.0442742Z with: 2025-09-07T07:34:17.0443165Z github-token: *** 2025-09-07T07:34:17.0455754Z 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"}]} 2025-09-07T07:34:17.0468827Z job-name: linux-jammy-aarch64-py3.10-inductor / test (inductor_torchbench_perf_cpu_aarch64, 1, 15, linux.arm64.m7g.metal) 2025-09-07T07:34:17.0469363Z env: 2025-09-07T07:34:17.0469533Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:34:17.0469742Z ##[endgroup] 2025-09-07T07:34:17.0504298Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T07:34:17.0504553Z with: 2025-09-07T07:34:17.0504717Z shell: bash 2025-09-07T07:34:17.0504899Z timeout_minutes: 10 2025-09-07T07:34:17.0505101Z max_attempts: 5 2025-09-07T07:34:17.0505297Z retry_wait_seconds: 30 2025-09-07T07:34:17.0505979Z 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 2025-09-07T07:34:17.0506700Z polling_interval_seconds: 1 2025-09-07T07:34:17.0506937Z warning_on_retry: true 2025-09-07T07:34:17.0507160Z continue_on_error: false 2025-09-07T07:34:17.0507367Z env: 2025-09-07T07:34:17.0507533Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:34:17.0507899Z GITHUB_TOKEN: *** 2025-09-07T07:34:17.0508094Z ##[endgroup] 2025-09-07T07:34:17.2956954Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-09-07T07:34:17.5136412Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T07:34:18.4279530Z Collecting requests==2.27.1 2025-09-07T07:34:18.4604840Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-09-07T07:34:18.7309449Z Collecting pyyaml==6.0.2 2025-09-07T07:34:18.7405193Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (720 kB) 2025-09-07T07:34:18.8386209Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-09-07T07:34:19.1880218Z Collecting charset-normalizer~=2.0.0 2025-09-07T07:34:19.1975861Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-09-07T07:34:19.3887914Z Collecting certifi>=2017.4.17 2025-09-07T07:34:19.3983964Z Downloading certifi-2025.8.3-py3-none-any.whl (161 kB) 2025-09-07T07:34:19.5058326Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-09-07T07:34:19.5672227Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-09-07T07:34:20.1874281Z Successfully installed certifi-2025.8.3 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-09-07T07:34:21.1219889Z Command completed after 1 attempt(s). 2025-09-07T07:34:21.1299498Z ##[group]Run set -x 2025-09-07T07:34:21.1299719Z set -x 2025-09-07T07:34:21.1299899Z  2025-09-07T07:34:21.1300220Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T07:34:21.1300632Z # in runner workspace 2025-09-07T07:34:21.1300959Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-09-07T07:34:21.1307619Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:34:21.1307939Z env: 2025-09-07T07:34:21.1308111Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:34:21.1308321Z ##[endgroup] 2025-09-07T07:34:21.1330613Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-09-07T07:34:21.1492813Z Setting output branch=main 2025-09-07T07:34:21.1587844Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T07:34:21.1588214Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T07:34:21.1588502Z echo "Job name: ${JOB_NAME}" 2025-09-07T07:34:21.1588741Z  2025-09-07T07:34:21.1589063Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T07:34:21.1589471Z # in runner workspace 2025-09-07T07:34:21.1589839Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-09-07T07:34:21.1590267Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-09-07T07:34:21.1590549Z  --job-name "${JOB_NAME}" \ 2025-09-07T07:34:21.1603220Z  --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"}]}" \ 2025-09-07T07:34:21.1616012Z  --selected-test-configs "" \ 2025-09-07T07:34:21.1616292Z  --pr-number "${PR_NUMBER}" \ 2025-09-07T07:34:21.1616555Z  --tag "${TAG}" \ 2025-09-07T07:34:21.1616798Z  --event-name "${EVENT_NAME}" \ 2025-09-07T07:34:21.1617076Z  --schedule "${SCHEDULE}" \ 2025-09-07T07:34:21.1617335Z  --branch "${HEAD_BRANCH}" 2025-09-07T07:34:21.1623132Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:34:21.1623447Z env: 2025-09-07T07:34:21.1623622Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:34:21.1624145Z GITHUB_TOKEN: *** 2025-09-07T07:34:21.1624667Z JOB_NAME: linux-jammy-aarch64-py3.10-inductor / test (inductor_torchbench_perf_cpu_aarch64, 1, 15, linux.arm64.m7g.metal) 2025-09-07T07:34:21.1625208Z PR_NUMBER: 2025-09-07T07:34:21.1625391Z TAG: 2025-09-07T07:34:21.1625559Z EVENT_NAME: schedule 2025-09-07T07:34:21.1625760Z SCHEDULE: 0 7 * * * 2025-09-07T07:34:21.1625959Z HEAD_BRANCH: main 2025-09-07T07:34:21.1626144Z ##[endgroup] 2025-09-07T07:34:21.1647096Z Workflow: inductor-perf-nightly-aarch64 2025-09-07T07:34:21.3553279Z Job name: linux-jammy-aarch64-py3.10-inductor / test (inductor_torchbench_perf_cpu_aarch64, 1, 15, linux.arm64.m7g.metal) 2025-09-07T07:34:21.3553855Z Setting output keep-going=True 2025-09-07T07:34:21.3554127Z Setting output ci-verbose-test-logs=False 2025-09-07T07:34:21.3554425Z Setting output ci-test-showlocals=False 2025-09-07T07:34:21.3554979Z Setting output ci-no-test-timeout=False 2025-09-07T07:34:21.3555263Z Setting output ci-no-td=False 2025-09-07T07:34:21.3555524Z Setting output ci-td-distributed=False 2025-09-07T07:34:21.3555805Z Setting output is-unstable=False 2025-09-07T07:34:21.3556072Z Setting output reenabled-issues= 2025-09-07T07:34:21.3569040Z 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"}]} 2025-09-07T07:34:21.3581791Z Setting output is-test-matrix-empty=False 2025-09-07T07:34:21.3688279Z ##[group]Run echo "Filtered matrix:" 2025-09-07T07:34:21.3688591Z echo "Filtered matrix:" 2025-09-07T07:34:21.3701294Z 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"}]}" 2025-09-07T07:34:21.3713983Z  2025-09-07T07:34:21.3714150Z echo 2025-09-07T07:34:21.3714379Z echo "Is the current job unstable? False" 2025-09-07T07:34:21.3714657Z  2025-09-07T07:34:21.3714819Z echo 2025-09-07T07:34:21.3715030Z echo "Is keep-going label set? True" 2025-09-07T07:34:21.3715294Z  2025-09-07T07:34:21.3715450Z echo 2025-09-07T07:34:21.3715643Z echo "Reenabled issues? " 2025-09-07T07:34:21.3721704Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:34:21.3722025Z env: 2025-09-07T07:34:21.3722196Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:34:21.3722407Z ##[endgroup] 2025-09-07T07:34:21.3743708Z Filtered matrix: 2025-09-07T07:34:21.3758963Z {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}]} 2025-09-07T07:34:21.3772313Z 2025-09-07T07:34:21.3772409Z Is the current job unstable? False 2025-09-07T07:34:21.3772589Z 2025-09-07T07:34:21.3772678Z Is keep-going label set? True 2025-09-07T07:34:21.3772839Z 2025-09-07T07:34:21.3772913Z Reenabled issues? 2025-09-07T07:34:21.3843638Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T07:34:21.3844146Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T07:34:21.3850121Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:34:21.3850443Z env: 2025-09-07T07:34:21.3850616Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:34:21.3850833Z JOB_TIMEOUT: 720 2025-09-07T07:34:21.3851014Z ##[endgroup] 2025-09-07T07:34:21.3968645Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:34:21.3969167Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:34:21.3969570Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:34:21.3975424Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:34:21.3975740Z env: 2025-09-07T07:34:21.3975911Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:34:21.3976122Z ##[endgroup] 2025-09-07T07:34:21.4163591Z ##[group]Run set -x 2025-09-07T07:34:21.4164027Z set -x 2025-09-07T07:34:21.4164220Z  2025-09-07T07:34:21.4164432Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-09-07T07:34:21.4164772Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-09-07T07:34:21.4165109Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-09-07T07:34:21.4165416Z  TEST_COMMAND=.ci/onnx/test.sh 2025-09-07T07:34:21.4165668Z else 2025-09-07T07:34:21.4165878Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T07:34:21.4166133Z fi 2025-09-07T07:34:21.4166297Z  2025-09-07T07:34:21.4166714Z # Leaving 1GB for the runner and other things 2025-09-07T07:34:21.4167217Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-09-07T07:34:21.4167969Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-09-07T07:34:21.4168580Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-09-07T07:34:21.4169038Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-09-07T07:34:21.4169391Z  2025-09-07T07:34:21.4169606Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T07:34:21.4169899Z  SHM_OPTS= 2025-09-07T07:34:21.4170102Z  JENKINS_USER= 2025-09-07T07:34:21.4170395Z  # ensure that docker container cleanly exits in 12 hours 2025-09-07T07:34:21.4170811Z  # if for some reason cleanup action doesn't stop container 2025-09-07T07:34:21.4171150Z  # when job is cancelled 2025-09-07T07:34:21.4171414Z  DOCKER_SHELL_CMD="sleep 12h" 2025-09-07T07:34:21.4171658Z else 2025-09-07T07:34:21.4171865Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-09-07T07:34:21.4172151Z  JENKINS_USER="--user jenkins" 2025-09-07T07:34:21.4172417Z  DOCKER_SHELL_CMD= 2025-09-07T07:34:21.4172627Z fi 2025-09-07T07:34:21.4172794Z  2025-09-07T07:34:21.4173079Z # detached container should get cleaned up by teardown_ec2_linux 2025-09-07T07:34:21.4173540Z # TODO: Stop building test binaries as part of the build phase 2025-09-07T07:34:21.4174064Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-09-07T07:34:21.4174524Z # shellcheck disable=SC2086,SC2090 2025-09-07T07:34:21.4174812Z container_name=$(docker run \ 2025-09-07T07:34:21.4175073Z  ${GPU_FLAG:-} \ 2025-09-07T07:34:21.4175329Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-09-07T07:34:21.4175625Z  -e BUILD_ENVIRONMENT \ 2025-09-07T07:34:21.4175874Z  -e PR_NUMBER \ 2025-09-07T07:34:21.4176102Z  -e GITHUB_ACTIONS \ 2025-09-07T07:34:21.4176343Z  -e GITHUB_REPOSITORY \ 2025-09-07T07:34:21.4176599Z  -e GITHUB_WORKFLOW \ 2025-09-07T07:34:21.4176838Z  -e GITHUB_JOB \ 2025-09-07T07:34:21.4177062Z  -e GITHUB_RUN_ID \ 2025-09-07T07:34:21.4177294Z  -e GITHUB_RUN_NUMBER \ 2025-09-07T07:34:21.4177537Z  -e GITHUB_RUN_ATTEMPT \ 2025-09-07T07:34:21.4177784Z  -e JOB_ID \ 2025-09-07T07:34:21.4177991Z  -e JOB_NAME \ 2025-09-07T07:34:21.4178205Z  -e BASE_SHA \ 2025-09-07T07:34:21.4178414Z  -e BRANCH \ 2025-09-07T07:34:21.4178616Z  -e SHA1 \ 2025-09-07T07:34:21.4178823Z  -e AWS_DEFAULT_REGION \ 2025-09-07T07:34:21.4179072Z  -e IN_WHEEL_TEST \ 2025-09-07T07:34:21.4179305Z  -e SHARD_NUMBER \ 2025-09-07T07:34:21.4179530Z  -e TEST_CONFIG \ 2025-09-07T07:34:21.4179760Z  -e NUM_TEST_SHARDS \ 2025-09-07T07:34:21.4180001Z  -e REENABLED_ISSUES \ 2025-09-07T07:34:21.4180257Z  -e CONTINUE_THROUGH_ERROR \ 2025-09-07T07:34:21.4180740Z  -e VERBOSE_TEST_LOGS \ 2025-09-07T07:34:21.4181008Z  -e TEST_SHOWLOCALS \ 2025-09-07T07:34:21.4181248Z  -e NO_TEST_TIMEOUT \ 2025-09-07T07:34:21.4181477Z  -e NO_TD \ 2025-09-07T07:34:21.4181683Z  -e TD_DISTRIBUTED \ 2025-09-07T07:34:21.4181917Z  -e PR_LABELS \ 2025-09-07T07:34:21.4182166Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-09-07T07:34:21.4182447Z  -e SCCACHE_BUCKET \ 2025-09-07T07:34:21.4182677Z  -e SCCACHE_REGION \ 2025-09-07T07:34:21.4182906Z  -e XLA_CUDA \ 2025-09-07T07:34:21.4183147Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-09-07T07:34:21.4183449Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-09-07T07:34:21.4183855Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-09-07T07:34:21.4184169Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-09-07T07:34:21.4184459Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-09-07T07:34:21.4184741Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-09-07T07:34:21.4185032Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-09-07T07:34:21.4185305Z  -e DASHBOARD_TAG \ 2025-09-07T07:34:21.4185546Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-09-07T07:34:21.4185856Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-09-07T07:34:21.4186215Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-09-07T07:34:21.4186563Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-09-07T07:34:21.4186899Z  --security-opt seccomp=unconfined \ 2025-09-07T07:34:21.4187185Z  --cap-add=SYS_PTRACE \ 2025-09-07T07:34:21.4187427Z  --ipc=host \ 2025-09-07T07:34:21.4187639Z  ${SHM_OPTS} \ 2025-09-07T07:34:21.4187845Z  --tty \ 2025-09-07T07:34:21.4188037Z  --detach \ 2025-09-07T07:34:21.4188253Z  --name="${container_name}" \ 2025-09-07T07:34:21.4188515Z  ${JENKINS_USER} \ 2025-09-07T07:34:21.4188813Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-09-07T07:34:21.4189156Z  -w /var/lib/jenkins/workspace \ 2025-09-07T07:34:21.4189426Z  "${DOCKER_IMAGE}" \ 2025-09-07T07:34:21.4189655Z  ${DOCKER_SHELL_CMD} 2025-09-07T07:34:21.4189873Z ) 2025-09-07T07:34:21.4190116Z # Propagate download.pytorch.org IP to container 2025-09-07T07:34:21.4190691Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-09-07T07:34:21.4191301Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-09-07T07:34:21.4191644Z  2025-09-07T07:34:21.4191866Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T07:34:21.4192367Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-09-07T07:34:21.4192808Z fi 2025-09-07T07:34:21.4192969Z  2025-09-07T07:34:21.4193393Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-09-07T07:34:21.4199508Z shell: /usr/bin/bash -e {0} 2025-09-07T07:34:21.4199723Z env: 2025-09-07T07:34:21.4199902Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:34:21.4200164Z BUILD_ENVIRONMENT: linux-jammy-aarch64-py3.10 2025-09-07T07:34:21.4200446Z PR_NUMBER: 2025-09-07T07:34:21.4200643Z GITHUB_REPOSITORY: pytorch/pytorch 2025-09-07T07:34:21.4200944Z GITHUB_WORKFLOW: inductor-perf-nightly-aarch64 2025-09-07T07:34:21.4201226Z GITHUB_JOB: test 2025-09-07T07:34:21.4201417Z GITHUB_RUN_ID: 17525321311 2025-09-07T07:34:21.4201638Z GITHUB_RUN_NUMBER: 706 2025-09-07T07:34:21.4201857Z GITHUB_RUN_ATTEMPT: 1 2025-09-07T07:34:21.4202053Z JOB_ID: 49775354783 2025-09-07T07:34:21.4202542Z JOB_NAME: linux-jammy-aarch64-py3.10-inductor / test (inductor_torchbench_perf_cpu_aarch64, 1, 15, linux.arm64.m7g.metal) 2025-09-07T07:34:21.4203077Z BRANCH: main 2025-09-07T07:34:21.4203440Z SHA1: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:34:21.4203763Z BASE_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:34:21.4204092Z TEST_CONFIG: inductor_torchbench_perf_cpu_aarch64 2025-09-07T07:34:21.4204376Z SHARD_NUMBER: 1 2025-09-07T07:34:21.4204561Z NUM_TEST_SHARDS: 15 2025-09-07T07:34:21.4204757Z REENABLED_ISSUES: 2025-09-07T07:34:21.4204961Z CONTINUE_THROUGH_ERROR: True 2025-09-07T07:34:21.4205193Z VERBOSE_TEST_LOGS: False 2025-09-07T07:34:21.4205410Z TEST_SHOWLOCALS: False 2025-09-07T07:34:21.4205619Z NO_TEST_TIMEOUT: False 2025-09-07T07:34:21.4205816Z NO_TD: False 2025-09-07T07:34:21.4205998Z TD_DISTRIBUTED: False 2025-09-07T07:34:21.4206347Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-09-07T07:34:21.4206652Z SCCACHE_REGION: us-east-1 2025-09-07T07:34:21.4206859Z SHM_SIZE: 1g 2025-09-07T07:34:21.4207619Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:34:21.4208428Z XLA_CUDA: 2025-09-07T07:34:21.4208726Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-09-07T07:34:21.4209112Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-09-07T07:34:21.4209377Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-09-07T07:34:21.4209952Z DASHBOARD_TAG: training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true 2025-09-07T07:34:21.4210696Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-09-07T07:34:21.4211047Z HUGGING_FACE_HUB_TOKEN: *** 2025-09-07T07:34:21.4211397Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-09-07T07:34:21.4211875Z ARTIFACTS_FILE_SUFFIX: test-inductor_torchbench_perf_cpu_aarch64-1-15-linux.arm64.m7g.metal_49775354783 2025-09-07T07:34:21.4212351Z ##[endgroup] 2025-09-07T07:34:21.4233665Z + [[ inductor_torchbench_perf_cpu_aarch64 == \m\u\l\t\i\g\p\u ]] 2025-09-07T07:34:21.4234033Z + [[ linux-jammy-aarch64-py3.10 == *onnx* ]] 2025-09-07T07:34:21.4234328Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T07:34:21.4236392Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-09-07T07:34:21.4254621Z + TOTAL_AVAILABLE_MEMORY_IN_GB='250.189 ' 2025-09-07T07:34:21.4254902Z + TOTAL_MEMORY_WITH_SWAP=253 2025-09-07T07:34:21.4255174Z + [[ linux-jammy-aarch64-py3.10 == *\s\3\9\0\x* ]] 2025-09-07T07:34:21.4255464Z + SHM_OPTS=--shm-size=1g 2025-09-07T07:34:21.4255687Z + JENKINS_USER='--user jenkins' 2025-09-07T07:34:21.4255910Z + DOCKER_SHELL_CMD= 2025-09-07T07:34:21.4261851Z +++ nproc --ignore=2 2025-09-07T07:34:21.5311468Z ++ 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 2025-09-07T07:35:20.5870912Z + container_name=fdbed69ae397830fd0d72dee5287b6c9ffc9d9285ec64f8bb20431c204311385 2025-09-07T07:35:20.5874458Z + grep download.pytorch.org /etc/hosts 2025-09-07T07:35:20.5878279Z + docker exec -i fdbed69ae397830fd0d72dee5287b6c9ffc9d9285ec64f8bb20431c204311385 sudo bash -c '/bin/cat >> /etc/hosts' 2025-09-07T07:35:20.7197144Z + echo DOCKER_CONTAINER_ID=fdbed69ae397830fd0d72dee5287b6c9ffc9d9285ec64f8bb20431c204311385 2025-09-07T07:35:20.7198415Z + [[ linux-jammy-aarch64-py3.10 == *\s\3\9\0\x* ]] 2025-09-07T07:35:20.7201530Z ++ echo dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_aarch64.whl 2025-09-07T07:35:20.7203475Z + docker exec -t fdbed69ae397830fd0d72dee5287b6c9ffc9d9285ec64f8bb20431c204311385 sh -c 'python3 -m pip install dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_aarch64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-09-07T07:35:21.1296125Z Processing ./dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_aarch64.whl (from torch==2.9.0a0+git93fb23d) 2025-09-07T07:35:21.3237499Z 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) 2025-09-07T07:35:21.3243196Z 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) 2025-09-07T07:35:21.3248592Z 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) 2025-09-07T07:35:21.3253793Z 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) 2025-09-07T07:35:21.3257774Z 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) 2025-09-07T07:35:21.3263003Z 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) 2025-09-07T07:35:21.3278465Z 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) 2025-09-07T07:35:21.3736348Z 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) 2025-09-07T07:35:21.3759901Z 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) 2025-09-07T07:35:21.3803759Z 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) 2025-09-07T07:35:22.4403901Z Installing collected packages: torch 2025-09-07T07:35:31.3811618Z 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. 2025-09-07T07:35:31.3812459Z dall-e 0.1 requires torchvision, which is not installed. 2025-09-07T07:35:31.3812854Z effdet 0.4.1 requires torchvision, which is not installed. 2025-09-07T07:35:31.3813293Z python-doctr 1.0.0 requires torchvision>=0.15.0, which is not installed. 2025-09-07T07:35:31.3813826Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-09-07T07:35:31.3814486Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-09-07T07:35:31.3815208Z timm 1.0.14 requires torchvision, which is not installed. 2025-09-07T07:35:31.3815674Z Successfully installed torch-2.9.0a0+git93fb23d 2025-09-07T07:35:31.4544638Z + export TERM=vt100 2025-09-07T07:35:31.4544845Z + TERM=vt100 2025-09-07T07:35:31.4547113Z ++ dirname .ci/pytorch/test.sh 2025-09-07T07:35:31.4554070Z + source .ci/pytorch/common.sh 2025-09-07T07:35:31.4557044Z +++ dirname .ci/pytorch/common.sh 2025-09-07T07:35:31.4563119Z ++ source .ci/pytorch/common_utils.sh 2025-09-07T07:35:31.4563995Z +++ declare -f -t trap_add 2025-09-07T07:35:31.4567802Z ++ set -ex -o pipefail 2025-09-07T07:35:31.4568061Z ++ [[ linux-jammy-aarch64-py3.10 == *rocm* ]] 2025-09-07T07:35:31.4568347Z ++ BUILD_TEST_LIBTORCH=0 2025-09-07T07:35:31.4570723Z ++ dirname .ci/pytorch/test.sh 2025-09-07T07:35:31.4576751Z + source .ci/pytorch/common-build.sh 2025-09-07T07:35:31.4578018Z ++ [[ linux-jammy-aarch64-py3.10 != *win-* ]] 2025-09-07T07:35:31.4583117Z ++++ dirname .ci/pytorch/common-build.sh 2025-09-07T07:35:31.4589265Z +++ cd .ci/pytorch 2025-09-07T07:35:31.4589726Z +++ pwd -P 2025-09-07T07:35:31.4591371Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-09-07T07:35:31.4592074Z ++ [[ linux-jammy-aarch64-py3.10 == *-pch* ]] 2025-09-07T07:35:31.4592353Z ++ which sccache 2025-09-07T07:35:31.4607404Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-09-07T07:35:31.4607696Z ++ sccache --stop-server 2025-09-07T07:35:31.4629253Z ++ true 2025-09-07T07:35:31.4629454Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-09-07T07:35:31.4637059Z ++ trap_add sccache_epilogue EXIT 2025-09-07T07:35:31.4637313Z ++ trap_add_cmd=sccache_epilogue 2025-09-07T07:35:31.4637541Z ++ shift 2025-09-07T07:35:31.4637719Z ++ for trap_add_name in "$@" 2025-09-07T07:35:31.4642828Z ++++ trap -p EXIT 2025-09-07T07:35:31.4644758Z +++ eval 'extract_trap_cmd ' 2025-09-07T07:35:31.4644988Z ++++ extract_trap_cmd 2025-09-07T07:35:31.4645188Z ++++ printf '%s\n' '' 2025-09-07T07:35:31.4645404Z +++ printf '%s\n' sccache_epilogue 2025-09-07T07:35:31.4646790Z ++ trap -- ' 2025-09-07T07:35:31.4646985Z sccache_epilogue' EXIT 2025-09-07T07:35:31.4647198Z ++ [[ -n 1 ]] 2025-09-07T07:35:31.4647549Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-09-07T07:35:31.4648064Z Skipping sccache server initialization, setting environment variables 2025-09-07T07:35:31.4648579Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-09-07T07:35:31.4648844Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-09-07T07:35:31.4649165Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T07:35:31.4649548Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T07:35:31.4649904Z ++ export RUST_LOG=sccache::server=error 2025-09-07T07:35:31.4650183Z ++ RUST_LOG=sccache::server=error 2025-09-07T07:35:31.4650433Z ++ sccache --zero-stats 2025-09-07T07:35:31.8060551Z Statistics zeroed. 2025-09-07T07:35:31.8067715Z ++ which ccache 2025-09-07T07:35:31.8337126Z + [[ linux-jammy-aarch64-py3.10 != *rocm* ]] 2025-09-07T07:35:31.8337433Z + [[ linux-jammy-aarch64-py3.10 != *s390x* ]] 2025-09-07T07:35:31.8337740Z + [[ -d /var/lib/jenkins/workspace ]] 2025-09-07T07:35:31.8339952Z ++ stat -c %u /var/lib/jenkins/workspace 2025-09-07T07:35:31.8349683Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-09-07T07:35:31.8349950Z + trap_add cleanup_workspace EXIT 2025-09-07T07:35:31.8350205Z + trap_add_cmd=cleanup_workspace 2025-09-07T07:35:31.8350434Z + shift 2025-09-07T07:35:31.8350628Z + for trap_add_name in "$@" 2025-09-07T07:35:31.8355898Z +++ trap -p EXIT 2025-09-07T07:35:31.8357776Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-09-07T07:35:31.8358052Z sccache_epilogue'\'' EXIT' 2025-09-07T07:35:31.8358287Z +++ extract_trap_cmd trap -- ' 2025-09-07T07:35:31.8358526Z sccache_epilogue' EXIT 2025-09-07T07:35:31.8358727Z +++ printf '%s\n' ' 2025-09-07T07:35:31.8358921Z sccache_epilogue' 2025-09-07T07:35:31.8359130Z ++ printf '%s\n' cleanup_workspace 2025-09-07T07:35:31.8360075Z + trap -- ' 2025-09-07T07:35:31.8360279Z sccache_epilogue 2025-09-07T07:35:31.8360483Z cleanup_workspace' EXIT 2025-09-07T07:35:31.8360746Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-09-07T07:35:32.3628934Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-09-07T07:35:32.3645410Z + echo 'Environment variables:' 2025-09-07T07:35:32.3645658Z Environment variables: 2025-09-07T07:35:32.3645850Z + env 2025-09-07T07:35:32.3652677Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:35:32.3653308Z CONTINUE_THROUGH_ERROR=True 2025-09-07T07:35:32.3653627Z BUILD_ENVIRONMENT=linux-jammy-aarch64-py3.10 2025-09-07T07:35:32.3654143Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T07:35:32.3654386Z HOSTNAME=fdbed69ae397 2025-09-07T07:35:32.3654889Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_257fb50f-5ae5-4d2f-ad16-95c16a6d06d6 2025-09-07T07:35:32.3655438Z GITHUB_ACTION=__run_2 2025-09-07T07:35:32.3655658Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T07:35:32.3655900Z GITHUB_RUN_NUMBER=706 2025-09-07T07:35:32.3656149Z TEST_CONFIG=inductor_torchbench_perf_cpu_aarch64 2025-09-07T07:35:32.3656459Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T07:35:32.3656946Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T07:35:32.3657207Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T07:35:32.3657549Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T07:35:32.3657815Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T07:35:32.3658078Z GITHUB_REF_TYPE=branch 2025-09-07T07:35:32.3658330Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:35:32.3658602Z XLA_CUDA= 2025-09-07T07:35:32.3658787Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T07:35:32.3659133Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T07:35:32.3659525Z *** 2025-09-07T07:35:32.3659699Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T07:35:32.3659929Z GITHUB_ACTIONS=true 2025-09-07T07:35:32.3660175Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T07:35:32.3660507Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:35:32.3660818Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:35:32.3661393Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly-aarch64.yml@refs/heads/main 2025-09-07T07:35:32.3661919Z UCC_HOME=/usr 2025-09-07T07:35:32.3662101Z VERBOSE_TEST_LOGS=False 2025-09-07T07:35:32.3662313Z GITHUB_REF=refs/heads/main 2025-09-07T07:35:32.3662522Z SHARD_NUMBER=1 2025-09-07T07:35:32.3662712Z GITHUB_REF_PROTECTED=true 2025-09-07T07:35:32.3662932Z HOME=/var/lib/jenkins 2025-09-07T07:35:32.3663161Z GITHUB_API_URL=https://api.github.com 2025-09-07T07:35:32.3663441Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T07:35:32.3663683Z UCX_COMMIT= 2025-09-07T07:35:32.3663852Z USE_SYSTEM_NCCL=1 2025-09-07T07:35:32.3664126Z NUM_TEST_SHARDS=15 2025-09-07T07:35:32.3664312Z UCX_HOME=/usr 2025-09-07T07:35:32.3664822Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_257fb50f-5ae5-4d2f-ad16-95c16a6d06d6 2025-09-07T07:35:32.3665667Z JOB_NAME=linux-jammy-aarch64-py3.10-inductor / test (inductor_torchbench_perf_cpu_aarch64, 1, 15, linux.arm64.m7g.metal) 2025-09-07T07:35:32.3666485Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_257fb50f-5ae5-4d2f-ad16-95c16a6d06d6 2025-09-07T07:35:32.3667188Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-09-07T07:35:32.3667614Z GITHUB_EVENT_NAME=schedule 2025-09-07T07:35:32.3668165Z DASHBOARD_TAG=training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true 2025-09-07T07:35:32.3668732Z GITHUB_RUN_ID=17525321311 2025-09-07T07:35:32.3668947Z INSTALLED_OPENBLAS=yes 2025-09-07T07:35:32.3669481Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_257fb50f-5ae5-4d2f-ad16-95c16a6d06d6 2025-09-07T07:35:32.3670078Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T07:35:32.3670302Z PR_NUMBER= 2025-09-07T07:35:32.3670472Z DESIRED_CUDA= 2025-09-07T07:35:32.3670649Z GITHUB_RUN_ATTEMPT=1 2025-09-07T07:35:32.3670861Z ANACONDA_PYTHON_VERSION=3.10 2025-09-07T07:35:32.3671145Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T07:35:32.3671437Z TERM=vt100 2025-09-07T07:35:32.3671611Z INSTALLED_VISION=yes 2025-09-07T07:35:32.3671807Z BRANCH=main 2025-09-07T07:35:32.3671989Z SCCACHE_REGION=us-east-1 2025-09-07T07:35:32.3672215Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T07:35:32.3672446Z CUDA_PATH=/usr/local/cuda 2025-09-07T07:35:32.3673114Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T07:35:32.3673637Z GITHUB_SERVER_URL=https://github.com 2025-09-07T07:35:32.3673884Z UCC_COMMIT= 2025-09-07T07:35:32.3674050Z REENABLED_ISSUES= 2025-09-07T07:35:32.3674227Z DOCS= 2025-09-07T07:35:32.3674379Z SHLVL=1 2025-09-07T07:35:32.3674534Z MAX_JOBS=62 2025-09-07T07:35:32.3674704Z GITHUB_ACTOR_ID=97764156 2025-09-07T07:35:32.3674991Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:35:32.3675310Z GITHUB_REF_NAME=main 2025-09-07T07:35:32.3675634Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T07:35:32.3675990Z GITHUB_JOB=test 2025-09-07T07:35:32.3676175Z NO_TEST_TIMEOUT=False 2025-09-07T07:35:32.3676527Z TD_DISTRIBUTED=False 2025-09-07T07:35:32.3676758Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T07:35:32.3677003Z GITHUB_RETENTION_DAYS=90 2025-09-07T07:35:32.3677218Z OPENSSL_DIR=/opt/openssl 2025-09-07T07:35:32.3677436Z GITHUB_ACTION_REPOSITORY= 2025-09-07T07:35:32.3678113Z 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 2025-09-07T07:35:32.3678800Z GITHUB_BASE_REF= 2025-09-07T07:35:32.3678986Z INSTALLED_ACL=yes 2025-09-07T07:35:32.3679408Z ARTIFACTS_FILE_SUFFIX=test-inductor_torchbench_perf_cpu_aarch64-1-15-linux.arm64.m7g.metal_49775354783 2025-09-07T07:35:32.3679880Z CI=true 2025-09-07T07:35:32.3680056Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T07:35:32.3680336Z RUST_LOG=sccache::server=error 2025-09-07T07:35:32.3680560Z JOB_ID=49775354783 2025-09-07T07:35:32.3680744Z GITHUB_HEAD_REF= 2025-09-07T07:35:32.3680926Z GITHUB_ACTION_REF= 2025-09-07T07:35:32.3681173Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T07:35:32.3681466Z TEST_SHOWLOCALS=False 2025-09-07T07:35:32.3681715Z GITHUB_WORKFLOW=inductor-perf-nightly-aarch64 2025-09-07T07:35:32.3682011Z DEBIAN_FRONTEND=noninteractive 2025-09-07T07:35:32.3682550Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_257fb50f-5ae5-4d2f-ad16-95c16a6d06d6 2025-09-07T07:35:32.3683093Z NO_TD=False 2025-09-07T07:35:32.3683280Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T07:35:32.3683535Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T07:35:32.3683796Z _=/usr/bin/env 2025-09-07T07:35:32.3684061Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-09-07T07:35:32.4351587Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2025-09-07T07:35:32.4352115Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-09-07T07:35:32.4352619Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2025-09-07T07:35:32.4353158Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2025-09-07T07:35:32.4353537Z + BUILD_DIR=build 2025-09-07T07:35:32.4353737Z + BUILD_RENAMED_DIR=build_renamed 2025-09-07T07:35:32.4353977Z + BUILD_BIN_DIR=build/bin 2025-09-07T07:35:32.4354190Z + SHARD_NUMBER=1 2025-09-07T07:35:32.4354375Z + NUM_TEST_SHARDS=15 2025-09-07T07:35:32.4354594Z + export TORCH_SERIALIZATION_DEBUG=1 2025-09-07T07:35:32.4354852Z + TORCH_SERIALIZATION_DEBUG=1 2025-09-07T07:35:32.4355081Z + export VALGRIND=ON 2025-09-07T07:35:32.4355278Z + VALGRIND=ON 2025-09-07T07:35:32.4355493Z + [[ linux-jammy-aarch64-py3.10 == *clang9* ]] 2025-09-07T07:35:32.4355794Z + [[ linux-jammy-aarch64-py3.10 == *xpu* ]] 2025-09-07T07:35:32.4356057Z + detect_cuda_arch 2025-09-07T07:35:32.4356274Z + [[ linux-jammy-aarch64-py3.10 == *cuda* ]] 2025-09-07T07:35:32.4356568Z + [[ linux-jammy-aarch64-py3.10 == *s390x* ]] 2025-09-07T07:35:32.4356822Z + [[ 0 == \1 ]] 2025-09-07T07:35:32.4356997Z + [[ True == \1 ]] 2025-09-07T07:35:32.4357220Z + [[ linux-jammy-aarch64-py3.10 != *bazel* ]] 2025-09-07T07:35:32.4357508Z ++ realpath build/custom_test_artifacts 2025-09-07T07:35:32.4363659Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-09-07T07:35:32.4364133Z + [[ -n '' ]] 2025-09-07T07:35:32.4364528Z + echo 'Environment variables' 2025-09-07T07:35:32.4364783Z Environment variables 2025-09-07T07:35:32.4364973Z + env 2025-09-07T07:35:32.4574235Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:35:32.4574614Z CONTINUE_THROUGH_ERROR=True 2025-09-07T07:35:32.4574886Z BUILD_ENVIRONMENT=linux-jammy-aarch64-py3.10 2025-09-07T07:35:32.4575344Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T07:35:32.4575581Z HOSTNAME=fdbed69ae397 2025-09-07T07:35:32.4576085Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_257fb50f-5ae5-4d2f-ad16-95c16a6d06d6 2025-09-07T07:35:32.4576623Z GITHUB_ACTION=__run_2 2025-09-07T07:35:32.4577008Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T07:35:32.4577252Z GITHUB_RUN_NUMBER=706 2025-09-07T07:35:32.4577500Z TEST_CONFIG=inductor_torchbench_perf_cpu_aarch64 2025-09-07T07:35:32.4577802Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T07:35:32.4578075Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T07:35:32.4578389Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T07:35:32.4578726Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T07:35:32.4578982Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T07:35:32.4579244Z GITHUB_REF_TYPE=branch 2025-09-07T07:35:32.4579489Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:35:32.4579762Z XLA_CUDA= 2025-09-07T07:35:32.4579939Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T07:35:32.4580494Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T07:35:32.4580765Z *** 2025-09-07T07:35:32.4580936Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T07:35:32.4581169Z GITHUB_ACTIONS=true 2025-09-07T07:35:32.4581414Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T07:35:32.4581750Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:35:32.4582063Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:35:32.4582641Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly-aarch64.yml@refs/heads/main 2025-09-07T07:35:32.4583159Z UCC_HOME=/usr 2025-09-07T07:35:32.4583354Z TORCH_SERIALIZATION_DEBUG=1 2025-09-07T07:35:32.4583582Z VERBOSE_TEST_LOGS=False 2025-09-07T07:35:32.4583792Z GITHUB_REF=refs/heads/main 2025-09-07T07:35:32.4583999Z SHARD_NUMBER=1 2025-09-07T07:35:32.4584190Z GITHUB_REF_PROTECTED=true 2025-09-07T07:35:32.4584407Z HOME=/var/lib/jenkins 2025-09-07T07:35:32.4584635Z GITHUB_API_URL=https://api.github.com 2025-09-07T07:35:32.4584906Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T07:35:32.4585147Z UCX_COMMIT= 2025-09-07T07:35:32.4585313Z USE_SYSTEM_NCCL=1 2025-09-07T07:35:32.4585498Z NUM_TEST_SHARDS=15 2025-09-07T07:35:32.4585676Z UCX_HOME=/usr 2025-09-07T07:35:32.4586157Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_257fb50f-5ae5-4d2f-ad16-95c16a6d06d6 2025-09-07T07:35:32.4587000Z JOB_NAME=linux-jammy-aarch64-py3.10-inductor / test (inductor_torchbench_perf_cpu_aarch64, 1, 15, linux.arm64.m7g.metal) 2025-09-07T07:35:32.4587818Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_257fb50f-5ae5-4d2f-ad16-95c16a6d06d6 2025-09-07T07:35:32.4588516Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-09-07T07:35:32.4588944Z GITHUB_EVENT_NAME=schedule 2025-09-07T07:35:32.4589491Z DASHBOARD_TAG=training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true 2025-09-07T07:35:32.4590057Z GITHUB_RUN_ID=17525321311 2025-09-07T07:35:32.4590275Z INSTALLED_OPENBLAS=yes 2025-09-07T07:35:32.4590814Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_257fb50f-5ae5-4d2f-ad16-95c16a6d06d6 2025-09-07T07:35:32.4591408Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T07:35:32.4591635Z PR_NUMBER= 2025-09-07T07:35:32.4591818Z DESIRED_CUDA= 2025-09-07T07:35:32.4591998Z GITHUB_RUN_ATTEMPT=1 2025-09-07T07:35:32.4592194Z VALGRIND=ON 2025-09-07T07:35:32.4592380Z ANACONDA_PYTHON_VERSION=3.10 2025-09-07T07:35:32.4592662Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T07:35:32.4593166Z TERM=vt100 2025-09-07T07:35:32.4593354Z INSTALLED_VISION=yes 2025-09-07T07:35:32.4593550Z BRANCH=main 2025-09-07T07:35:32.4593729Z SCCACHE_REGION=us-east-1 2025-09-07T07:35:32.4593952Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T07:35:32.4594184Z CUDA_PATH=/usr/local/cuda 2025-09-07T07:35:32.4594628Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T07:35:32.4595121Z GITHUB_SERVER_URL=https://github.com 2025-09-07T07:35:32.4595359Z UCC_COMMIT= 2025-09-07T07:35:32.4595531Z REENABLED_ISSUES= 2025-09-07T07:35:32.4595709Z DOCS= 2025-09-07T07:35:32.4595858Z SHLVL=1 2025-09-07T07:35:32.4596011Z MAX_JOBS=62 2025-09-07T07:35:32.4596305Z GITHUB_ACTOR_ID=97764156 2025-09-07T07:35:32.4596594Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:35:32.4596912Z GITHUB_REF_NAME=main 2025-09-07T07:35:32.4597230Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T07:35:32.4597588Z GITHUB_JOB=test 2025-09-07T07:35:32.4597777Z NO_TEST_TIMEOUT=False 2025-09-07T07:35:32.4597979Z TD_DISTRIBUTED=False 2025-09-07T07:35:32.4598197Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T07:35:32.4598447Z GITHUB_RETENTION_DAYS=90 2025-09-07T07:35:32.4598666Z OPENSSL_DIR=/opt/openssl 2025-09-07T07:35:32.4598881Z GITHUB_ACTION_REPOSITORY= 2025-09-07T07:35:32.4599554Z 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 2025-09-07T07:35:32.4600240Z GITHUB_BASE_REF= 2025-09-07T07:35:32.4600427Z INSTALLED_ACL=yes 2025-09-07T07:35:32.4600847Z ARTIFACTS_FILE_SUFFIX=test-inductor_torchbench_perf_cpu_aarch64-1-15-linux.arm64.m7g.metal_49775354783 2025-09-07T07:35:32.4601318Z CI=true 2025-09-07T07:35:32.4601493Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T07:35:32.4601754Z RUST_LOG=sccache::server=error 2025-09-07T07:35:32.4601973Z JOB_ID=49775354783 2025-09-07T07:35:32.4602151Z GITHUB_HEAD_REF= 2025-09-07T07:35:32.4602339Z GITHUB_ACTION_REF= 2025-09-07T07:35:32.4602582Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T07:35:32.4602882Z TEST_SHOWLOCALS=False 2025-09-07T07:35:32.4603130Z GITHUB_WORKFLOW=inductor-perf-nightly-aarch64 2025-09-07T07:35:32.4603429Z DEBIAN_FRONTEND=noninteractive 2025-09-07T07:35:32.4603967Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_257fb50f-5ae5-4d2f-ad16-95c16a6d06d6 2025-09-07T07:35:32.4604512Z NO_TD=False 2025-09-07T07:35:32.4604699Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T07:35:32.4604955Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T07:35:32.4605212Z _=/usr/bin/env 2025-09-07T07:35:32.4605399Z + echo 'Testing pytorch' 2025-09-07T07:35:32.4605616Z Testing pytorch 2025-09-07T07:35:32.4605924Z + export LANG=C.UTF-8 2025-09-07T07:35:32.4606129Z + LANG=C.UTF-8 2025-09-07T07:35:32.4606321Z + PR_NUMBER= 2025-09-07T07:35:32.4606575Z + [[ inductor_torchbench_perf_cpu_aarch64 == \d\e\f\a\u\l\t ]] 2025-09-07T07:35:32.4607004Z + [[ inductor_torchbench_perf_cpu_aarch64 == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-09-07T07:35:32.4607407Z + [[ inductor_torchbench_perf_cpu_aarch64 == \s\l\o\w ]] 2025-09-07T07:35:32.4607759Z + [[ linux-jammy-aarch64-py3.10 == *slow-gradcheck* ]] 2025-09-07T07:35:32.4608081Z + [[ linux-jammy-aarch64-py3.10 == *cuda* ]] 2025-09-07T07:35:32.4608377Z + [[ linux-jammy-aarch64-py3.10 == *rocm* ]] 2025-09-07T07:35:32.4608665Z + [[ linux-jammy-aarch64-py3.10 == *xpu* ]] 2025-09-07T07:35:32.4608991Z + [[ inductor_torchbench_perf_cpu_aarch64 == *crossref* ]] 2025-09-07T07:35:32.4609319Z + [[ linux-jammy-aarch64-py3.10 == *rocm* ]] 2025-09-07T07:35:32.4609610Z + [[ linux-jammy-aarch64-py3.10 == *xpu* ]] 2025-09-07T07:35:32.4609909Z + [[ linux-jammy-aarch64-py3.10 != *-bazel-* ]] 2025-09-07T07:35:32.4610193Z + pip_install ninja==1.10.2 2025-09-07T07:35:32.4610497Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-09-07T07:35:32.4610893Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-09-07T07:35:34.3224947Z Collecting ninja==1.10.2 2025-09-07T07:35:34.3406843Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.metadata (5.0 kB) 2025-09-07T07:35:34.4313335Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (119 kB) 2025-09-07T07:35:35.5375501Z Installing collected packages: ninja 2025-09-07T07:35:35.5376776Z Attempting uninstall: ninja 2025-09-07T07:35:35.5388965Z Found existing installation: ninja 1.11.1.3 2025-09-07T07:35:35.5411435Z Uninstalling ninja-1.11.1.3: 2025-09-07T07:35:35.5471654Z Successfully uninstalled ninja-1.11.1.3 2025-09-07T07:35:35.6011976Z Successfully installed ninja-1.10.2 2025-09-07T07:35:35.6726524Z + 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 2025-09-07T07:35:35.6727903Z + 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 2025-09-07T07:35:35.6728749Z + [[ linux-jammy-aarch64-py3.10 == *aarch64* ]] 2025-09-07T07:35:35.6729031Z + export VALGRIND=OFF 2025-09-07T07:35:35.6729232Z + VALGRIND=OFF 2025-09-07T07:35:35.6729446Z + [[ linux-jammy-aarch64-py3.10 == *asan* ]] 2025-09-07T07:35:35.6729743Z + [[ linux-jammy-aarch64-py3.10 == *-debug* ]] 2025-09-07T07:35:35.6730044Z + [[ linux-jammy-aarch64-py3.10 != *-bazel-* ]] 2025-09-07T07:35:35.6730489Z + echo 'We are not in debug mode: linux-jammy-aarch64-py3.10. Expect the assertion to pass' 2025-09-07T07:35:35.6731045Z We are not in debug mode: linux-jammy-aarch64-py3.10. Expect the assertion to pass 2025-09-07T07:35:35.6731435Z + cd test 2025-09-07T07:35:35.6731723Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-09-07T07:35:36.0023504Z /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. 2025-09-07T07:35:36.0024686Z import pynvml # type: ignore[import] 2025-09-07T07:35:37.0966080Z + [[ inductor_torchbench_perf_cpu_aarch64 == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-09-07T07:35:37.0966573Z + [[ inductor_torchbench_perf_cpu_aarch64 == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-09-07T07:35:37.0967068Z + [[ inductor_torchbench_perf_cpu_aarch64 == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-09-07T07:35:37.0969552Z + DYNAMO_BENCHMARK_FLAGS=() 2025-09-07T07:35:37.0970061Z + [[ inductor_torchbench_perf_cpu_aarch64 == *pr_time_benchmarks* ]] 2025-09-07T07:35:37.0970508Z + [[ inductor_torchbench_perf_cpu_aarch64 == *dynamo_eager* ]] 2025-09-07T07:35:37.0970905Z + [[ inductor_torchbench_perf_cpu_aarch64 == *aot_eager* ]] 2025-09-07T07:35:37.0971292Z + [[ inductor_torchbench_perf_cpu_aarch64 == *aot_inductor* ]] 2025-09-07T07:35:37.0971734Z + [[ inductor_torchbench_perf_cpu_aarch64 == *max_autotune_inductor* ]] 2025-09-07T07:35:37.0972151Z + [[ inductor_torchbench_perf_cpu_aarch64 == *inductor* ]] 2025-09-07T07:35:37.0972501Z + [[ inductor_torchbench_perf_cpu_aarch64 != *perf* ]] 2025-09-07T07:35:37.0972856Z + [[ inductor_torchbench_perf_cpu_aarch64 == *dynamic* ]] 2025-09-07T07:35:37.0973206Z + [[ inductor_torchbench_perf_cpu_aarch64 == *cpu* ]] 2025-09-07T07:35:37.0973533Z + DYNAMO_BENCHMARK_FLAGS+=(--device cpu) 2025-09-07T07:35:37.0994421Z + [[ linux-jammy-aarch64-py3.10 == *libtorch* ]] 2025-09-07T07:35:37.0994753Z + [[ linux-jammy-aarch64-py3.10 == *-bazel-* ]] 2025-09-07T07:35:37.0997166Z + cd test 2025-09-07T07:35:37.0997701Z + python -c 'import torch; print(torch.__config__.show())' 2025-09-07T07:35:37.4245925Z /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. 2025-09-07T07:35:37.4247114Z import pynvml # type: ignore[import] 2025-09-07T07:35:38.2890583Z PyTorch built with: 2025-09-07T07:35:38.2890801Z - GCC 11.4 2025-09-07T07:35:38.2890984Z - C++ Version: 201703 2025-09-07T07:35:38.2891317Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T07:35:38.2891688Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T07:35:38.2891974Z - LAPACK is enabled (usually provided by MKL) 2025-09-07T07:35:38.2892251Z - NNPACK is enabled 2025-09-07T07:35:38.2892467Z - CPU capability usage: SVE256 2025-09-07T07:35:38.2896635Z - 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, 2025-09-07T07:35:38.2901214Z 2025-09-07T07:35:38.5063276Z + cd test 2025-09-07T07:35:38.5063805Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-09-07T07:35:38.8281125Z /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. 2025-09-07T07:35:38.8282284Z import pynvml # type: ignore[import] 2025-09-07T07:35:39.6834642Z ATen/Parallel: 2025-09-07T07:35:39.6834910Z at::get_num_threads() : 64 2025-09-07T07:35:39.6835156Z at::get_num_interop_threads() : 64 2025-09-07T07:35:39.6835419Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T07:35:39.6835660Z omp_get_max_threads() : 64 2025-09-07T07:35:39.6835991Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T07:35:39.6836387Z std::thread::hardware_concurrency() : 64 2025-09-07T07:35:39.6836657Z Environment variables: 2025-09-07T07:35:39.6836870Z OMP_NUM_THREADS : [not set] 2025-09-07T07:35:39.6837112Z ATen parallel backend: OpenMP 2025-09-07T07:35:39.6837272Z 2025-09-07T07:35:39.8954284Z + [[ inductor_torchbench_perf_cpu_aarch64 == *numpy_2* ]] 2025-09-07T07:35:39.8954641Z + [[ linux-jammy-aarch64-py3.10 == *aarch64* ]] 2025-09-07T07:35:39.8955015Z + [[ inductor_torchbench_perf_cpu_aarch64 != *perf_cpu_aarch64* ]] 2025-09-07T07:35:39.8955409Z + [[ inductor_torchbench_perf_cpu_aarch64 == *backward* ]] 2025-09-07T07:35:39.8955763Z + [[ inductor_torchbench_perf_cpu_aarch64 == *xla* ]] 2025-09-07T07:35:39.8956106Z + [[ inductor_torchbench_perf_cpu_aarch64 == *vllm* ]] 2025-09-07T07:35:39.8956466Z + [[ inductor_torchbench_perf_cpu_aarch64 == *executorch* ]] 2025-09-07T07:35:39.8956865Z + [[ inductor_torchbench_perf_cpu_aarch64 == \j\i\t\_\l\e\g\a\c\y ]] 2025-09-07T07:35:39.8957262Z + [[ linux-jammy-aarch64-py3.10 == *libtorch* ]] 2025-09-07T07:35:39.8957613Z + [[ inductor_torchbench_perf_cpu_aarch64 == distributed ]] 2025-09-07T07:35:39.8958020Z + [[ inductor_torchbench_perf_cpu_aarch64 == *operator_benchmark* ]] 2025-09-07T07:35:39.8958785Z + [[ inductor_torchbench_perf_cpu_aarch64 == *inductor_distributed* ]] 2025-09-07T07:35:39.8959253Z + [[ inductor_torchbench_perf_cpu_aarch64 == *inductor-halide* ]] 2025-09-07T07:35:39.8959691Z + [[ inductor_torchbench_perf_cpu_aarch64 == *inductor-triton-cpu* ]] 2025-09-07T07:35:39.8960162Z + [[ inductor_torchbench_perf_cpu_aarch64 == *inductor-micro-benchmark* ]] 2025-09-07T07:35:39.8960605Z + [[ inductor_torchbench_perf_cpu_aarch64 == *huggingface* ]] 2025-09-07T07:35:39.8960969Z + [[ inductor_torchbench_perf_cpu_aarch64 == *timm* ]] 2025-09-07T07:35:39.8961323Z + [[ inductor_torchbench_perf_cpu_aarch64 == cachebench ]] 2025-09-07T07:35:39.8961713Z + [[ inductor_torchbench_perf_cpu_aarch64 == verify_cachebench ]] 2025-09-07T07:35:39.8962286Z + [[ inductor_torchbench_perf_cpu_aarch64 == *torchbench* ]] 2025-09-07T07:35:39.8962594Z + install_torchaudio 2025-09-07T07:35:39.8962791Z + local commit 2025-09-07T07:35:39.8962987Z ++ get_pinned_commit audio 2025-09-07T07:35:39.8963224Z ++ cat .github/ci_commit_pins/audio.txt 2025-09-07T07:35:39.8979889Z + commit=2e300559e4e123928a22187b8f59a5b56f57ddc8 2025-09-07T07:35:39.8980465Z + pip_build_and_install git+https://github.com/pytorch/audio.git@2e300559e4e123928a22187b8f59a5b56f57ddc8 dist/audio 2025-09-07T07:35:39.8981205Z + local build_target=git+https://github.com/pytorch/audio.git@2e300559e4e123928a22187b8f59a5b56f57ddc8 2025-09-07T07:35:39.8981683Z + local wheel_dir=dist/audio 2025-09-07T07:35:39.8981909Z + local found_whl=0 2025-09-07T07:35:39.8982120Z + for file in "${wheel_dir}"/*.whl 2025-09-07T07:35:39.8982505Z + [[ -f dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_aarch64.whl ]] 2025-09-07T07:35:39.8982884Z + found_whl=1 2025-09-07T07:35:39.8983057Z + break 2025-09-07T07:35:39.8983217Z + '[' 1 == 0 ']' 2025-09-07T07:35:39.8983412Z + for file in "${wheel_dir}"/*.whl 2025-09-07T07:35:39.8983825Z + pip_install_whl dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_aarch64.whl 2025-09-07T07:35:39.8984381Z + args=('dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_aarch64.whl') 2025-09-07T07:35:39.8994787Z + local args 2025-09-07T07:35:39.8995163Z + [[ dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_aarch64.whl == *\ * ]] 2025-09-07T07:35:39.8995582Z + for path in "${args[@]}" 2025-09-07T07:35:39.8995980Z + echo 'Installing dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_aarch64.whl' 2025-09-07T07:35:39.8996561Z Installing dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_aarch64.whl 2025-09-07T07:35:39.8997227Z + python3 -mpip install --no-index --no-deps dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_aarch64.whl 2025-09-07T07:35:40.2716467Z Processing ./dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_aarch64.whl 2025-09-07T07:35:40.2786789Z Installing collected packages: torchaudio 2025-09-07T07:35:40.4738042Z Successfully installed torchaudio-2.8.0a0+2e30055 2025-09-07T07:35:40.5119069Z + install_torchvision 2025-09-07T07:35:40.5119276Z + local orig_preload 2025-09-07T07:35:40.5119469Z + local commit 2025-09-07T07:35:40.5122350Z ++ get_pinned_commit vision 2025-09-07T07:35:40.5122602Z ++ cat .github/ci_commit_pins/vision.txt 2025-09-07T07:35:40.5132448Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T07:35:40.5132741Z + orig_preload= 2025-09-07T07:35:40.5132937Z + '[' -n '' ']' 2025-09-07T07:35:40.5133145Z + [[ linux-jammy-aarch64-py3.10 == *cuda* ]] 2025-09-07T07:35:40.5133722Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-09-07T07:35:40.5134485Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T07:35:40.5134966Z + local wheel_dir=dist/vision 2025-09-07T07:35:40.5135190Z + local found_whl=0 2025-09-07T07:35:40.5135421Z + for file in "${wheel_dir}"/*.whl 2025-09-07T07:35:40.5135820Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_aarch64.whl ]] 2025-09-07T07:35:40.5136212Z + found_whl=1 2025-09-07T07:35:40.5136375Z + break 2025-09-07T07:35:40.5136528Z + '[' 1 == 0 ']' 2025-09-07T07:35:40.5137010Z + for file in "${wheel_dir}"/*.whl 2025-09-07T07:35:40.5137450Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_aarch64.whl 2025-09-07T07:35:40.5138030Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_aarch64.whl') 2025-09-07T07:35:40.5138422Z + local args 2025-09-07T07:35:40.5138765Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_aarch64.whl == *\ * ]] 2025-09-07T07:35:40.5139187Z + for path in "${args[@]}" 2025-09-07T07:35:40.5139594Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_aarch64.whl' 2025-09-07T07:35:40.5140199Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_aarch64.whl 2025-09-07T07:35:40.5141066Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_aarch64.whl 2025-09-07T07:35:40.8864536Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_aarch64.whl 2025-09-07T07:35:40.8963410Z Installing collected packages: torchvision 2025-09-07T07:35:41.4245659Z Successfully installed torchvision-0.22.0a0+966da7e 2025-09-07T07:35:41.4616591Z + '[' -n '' ']' 2025-09-07T07:35:41.4616773Z + id=0 2025-09-07T07:35:41.4616968Z + pip_install opencv-python==4.8.0.74 2025-09-07T07:35:41.4617533Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-09-07T07:35:41.4617995Z + python3 -m pip install --progress-bar off opencv-python==4.8.0.74 2025-09-07T07:35:41.9376441Z Collecting opencv-python==4.8.0.74 2025-09-07T07:35:41.9542697Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.metadata (19 kB) 2025-09-07T07:35:41.9637438Z 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) 2025-09-07T07:35:41.9714289Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (41.0 MB) 2025-09-07T07:35:43.2495929Z Installing collected packages: opencv-python 2025-09-07T07:35:43.2497012Z Attempting uninstall: opencv-python 2025-09-07T07:35:43.2512062Z Found existing installation: opencv-python 4.11.0.86 2025-09-07T07:35:43.2595200Z Uninstalling opencv-python-4.11.0.86: 2025-09-07T07:35:43.3271552Z Successfully uninstalled opencv-python-4.11.0.86 2025-09-07T07:35:43.8737005Z Successfully installed opencv-python-4.8.0.74 2025-09-07T07:35:43.9567422Z + [[ inductor_torchbench_perf_cpu_aarch64 == *inductor_torchbench_smoketest_perf* ]] 2025-09-07T07:35:43.9567982Z + [[ inductor_torchbench_perf_cpu_aarch64 == *inductor_torchbench_cpu_smoketest_perf* ]] 2025-09-07T07:35:43.9568504Z + [[ inductor_torchbench_perf_cpu_aarch64 == *torchbench_gcp_smoketest* ]] 2025-09-07T07:35:43.9568940Z + [[ inductor_torchbench_perf_cpu_aarch64 != *cpu* ]] 2025-09-07T07:35:43.9569243Z + PYTHONPATH=/torchbench 2025-09-07T07:35:43.9569477Z + test_dynamo_benchmark torchbench 0 2025-09-07T07:35:43.9571751Z ++ pwd 2025-09-07T07:35:43.9573532Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:35:43.9573899Z + local suite=torchbench 2025-09-07T07:35:43.9574100Z + shift 2025-09-07T07:35:43.9574263Z + local shard_id=0 2025-09-07T07:35:43.9574443Z + shift 2025-09-07T07:35:43.9574693Z + [[ inductor_torchbench_perf_cpu_aarch64 == *perf_compare* ]] 2025-09-07T07:35:43.9575067Z + [[ inductor_torchbench_perf_cpu_aarch64 == *perf* ]] 2025-09-07T07:35:43.9575418Z + [[ inductor_torchbench_perf_cpu_aarch64 == *b200* ]] 2025-09-07T07:35:43.9575769Z + test_single_dynamo_benchmark dashboard torchbench 0 2025-09-07T07:35:43.9577179Z ++ pwd 2025-09-07T07:35:43.9578864Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:35:43.9579274Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:35:43.9594756Z + local name=dashboard 2025-09-07T07:35:43.9594957Z + shift 2025-09-07T07:35:43.9595126Z + local suite=torchbench 2025-09-07T07:35:43.9595327Z + shift 2025-09-07T07:35:43.9595496Z + local shard_id=0 2025-09-07T07:35:43.9596017Z + shift 2025-09-07T07:35:43.9596206Z + partition_flags=() 2025-09-07T07:35:43.9596411Z + local partition_flags 2025-09-07T07:35:43.9596613Z + [[ -n 15 ]] 2025-09-07T07:35:43.9596784Z + [[ -n 0 ]] 2025-09-07T07:35:43.9597123Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-09-07T07:35:43.9597614Z + [[ inductor_torchbench_perf_cpu_aarch64 == *perf_compare* ]] 2025-09-07T07:35:43.9597994Z + [[ inductor_torchbench_perf_cpu_aarch64 == *perf* ]] 2025-09-07T07:35:43.9598467Z + test_perf_for_dashboard torchbench --device cpu --total-partitions 15 --partition-id 0 2025-09-07T07:35:43.9598884Z ++ pwd 2025-09-07T07:35:43.9600401Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:35:43.9600967Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:35:43.9611934Z + local suite=torchbench 2025-09-07T07:35:43.9612139Z + shift 2025-09-07T07:35:43.9612304Z + local backend=inductor 2025-09-07T07:35:43.9612510Z + modes=() 2025-09-07T07:35:43.9612678Z + local modes 2025-09-07T07:35:43.9613233Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *training-true* ]] 2025-09-07T07:35:43.9614231Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *inference-true* ]] 2025-09-07T07:35:43.9614845Z + modes+=(inference) 2025-09-07T07:35:43.9615074Z + targets=('accuracy' 'performance') 2025-09-07T07:35:43.9615320Z + local targets 2025-09-07T07:35:43.9615500Z + local device=cuda 2025-09-07T07:35:43.9615736Z + [[ inductor_torchbench_perf_cpu_aarch64 == *cpu* ]] 2025-09-07T07:35:43.9616104Z + [[ inductor_torchbench_perf_cpu_aarch64 == *cpu_x86_zen* ]] 2025-09-07T07:35:43.9616484Z + [[ inductor_torchbench_perf_cpu_aarch64 == *cpu_x86* ]] 2025-09-07T07:35:43.9616862Z + [[ inductor_torchbench_perf_cpu_aarch64 == *cpu_aarch64* ]] 2025-09-07T07:35:43.9617175Z + device=cpu_aarch64 2025-09-07T07:35:43.9617387Z + test_inductor_set_cpu_affinity 2025-09-07T07:35:43.9617652Z ++ find /usr/lib -name libjemalloc.so.2 2025-09-07T07:35:43.9793210Z + JEMALLOC_LIB=/usr/lib/aarch64-linux-gnu/libjemalloc.so.2 2025-09-07T07:35:43.9793616Z + export LD_PRELOAD=/usr/lib/aarch64-linux-gnu/libjemalloc.so.2: 2025-09-07T07:35:43.9794011Z + LD_PRELOAD=/usr/lib/aarch64-linux-gnu/libjemalloc.so.2: 2025-09-07T07:35:43.9794604Z + export MALLOC_CONF=oversize_threshold:1,background_thread:true,metadata_thp:auto,dirty_decay_ms:-1,muzzy_decay_ms:-1 2025-09-07T07:35:43.9795379Z + MALLOC_CONF=oversize_threshold:1,background_thread:true,metadata_thp:auto,dirty_decay_ms:-1,muzzy_decay_ms:-1 2025-09-07T07:35:43.9795936Z + [[ inductor_torchbench_perf_cpu_aarch64 != *aarch64* ]] 2025-09-07T07:35:43.9796746Z ++ nproc 2025-09-07T07:35:43.9817508Z + cpus=64 2025-09-07T07:35:43.9822244Z ++ lscpu 2025-09-07T07:35:43.9823062Z ++ grep 'Thread(s) per core:' 2025-09-07T07:35:43.9823962Z ++ awk '{print $4}' 2025-09-07T07:35:44.0054682Z + thread_per_core=1 2025-09-07T07:35:44.0054871Z + cores=64 2025-09-07T07:35:44.0055107Z + [[ inductor_torchbench_perf_cpu_aarch64 == *aarch64* ]] 2025-09-07T07:35:44.0055401Z + [[ 64 -gt 16 ]] 2025-09-07T07:35:44.0055577Z + cores=16 2025-09-07T07:35:44.0055755Z + export OMP_NUM_THREADS=16 2025-09-07T07:35:44.0055974Z + OMP_NUM_THREADS=16 2025-09-07T07:35:44.0058592Z ++ python -c 'import os; print(min(os.sched_getaffinity(0)))' 2025-09-07T07:35:44.0369736Z + start_cpu=0 2025-09-07T07:35:44.0372504Z ++ python -c 'import os; print(max(os.sched_getaffinity(0)))' 2025-09-07T07:35:44.0676530Z + end_cpu=62 2025-09-07T07:35:44.0676731Z + export 'TASKSET=taskset -c 0-62' 2025-09-07T07:35:44.0676992Z + TASKSET='taskset -c 0-62' 2025-09-07T07:35:44.0677230Z + for mode in "${modes[@]}" 2025-09-07T07:35:44.0677465Z + [[ inference == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T07:35:44.0677728Z + [[ cpu_aarch64 == \c\p\u\_\x\8\6 ]] 2025-09-07T07:35:44.0677968Z + dtype=bfloat16 2025-09-07T07:35:44.0678163Z + for target in "${targets[@]}" 2025-09-07T07:35:44.0678393Z + target_flag=('--accuracy') 2025-09-07T07:35:44.0678883Z + local target_flag 2025-09-07T07:35:44.0679119Z + [[ accuracy == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T07:35:44.0679383Z + [[ accuracy == \a\c\c\u\r\a\c\y ]] 2025-09-07T07:35:44.0679658Z + target_flag+=(--no-translation-validation) 2025-09-07T07:35:44.0680312Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *freezing-true* ]] 2025-09-07T07:35:44.0681287Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *default-true* ]] 2025-09-07T07:35:44.0683018Z + 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 0 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cpu_aarch64_accuracy.csv 2025-09-07T07:35:44.3990524Z /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. 2025-09-07T07:35:44.3991677Z import pynvml # type: ignore[import] 2025-09-07T07:35:47.3879168Z /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. 2025-09-07T07:35:47.3880337Z import pynvml # type: ignore[import] 2025-09-07T07:35:49.9800018Z 2025-09-07T07:35:51.9383738Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:35:51.9384005Z loading model: 0it [00:01, ?it/s] 2025-09-07T07:35:51.9525609Z cpu eval BERT_pytorch 2025-09-07T07:35:52.6525687Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:35:52.8422598Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:35:53.0281441Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:36:12.6302321Z pass 2025-09-07T07:36:12.6303298Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:36:14.0858276Z /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. 2025-09-07T07:36:14.0859475Z import pynvml # type: ignore[import] 2025-09-07T07:36:16.6881605Z 2025-09-07T07:36:18.8572717Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:36:18.8573018Z loading model: 0it [00:02, ?it/s] 2025-09-07T07:36:18.8637335Z cpu eval Background_Matting 2025-09-07T07:36:18.8938313Z pass_due_to_skip 2025-09-07T07:36:18.8939151Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:36:20.0525625Z /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. 2025-09-07T07:36:20.0526788Z import pynvml # type: ignore[import] 2025-09-07T07:36:22.5951026Z 2025-09-07T07:36:24.9769128Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:36:24.9769427Z loading model: 0it [00:02, ?it/s] 2025-09-07T07:36:24.9802166Z cpu eval LearningToPaint 2025-09-07T07:36:25.0955092Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:36:25.1283536Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:36:25.1586838Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:36:33.5514116Z pass 2025-09-07T07:36:33.5514917Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:36:35.0871251Z /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. 2025-09-07T07:36:35.0872416Z import pynvml # type: ignore[import] 2025-09-07T07:36:37.6531854Z 2025-09-07T07:36:38.5771884Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/vgg16-397923af.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/vgg16-397923af.pth 2025-09-07T07:36:38.5907500Z 2025-09-07T07:36:38.5907920Z 2025-09-07T07:36:38.6910980Z 0% 0.00/528M [00:00 0).unsqueeze(1).repeat(1, x.size(1), 1).unsqueeze(1) 2025-09-07T07:38:22.7312860Z 2025-09-07T07:38:22.7313000Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7313522Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7313980Z return mod(*inputs) 2025-09-07T07:38:22.7314468Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7315183Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7315667Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 47, in forward 2025-09-07T07:38:22.7316163Z x = self.embedding(x, segment_info) 2025-09-07T07:38:22.7316696Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/embedding/bert.py", line 32, in forward 2025-09-07T07:38:22.7317359Z x = self.token(sequence) + self.position(sequence) + self.segment(segment_label) 2025-09-07T07:38:22.7317675Z 2025-09-07T07:38:22.7317813Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7318338Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7318795Z return mod(*inputs) 2025-09-07T07:38:22.7319278Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7319815Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7320299Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7320799Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7321318Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7321871Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7322431Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7323023Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7323606Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7324189Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7324825Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:38:22.7325398Z query, key, value = [ 2025-09-07T07:38:22.7325935Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:38:22.7326865Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:38:22.7327116Z 2025-09-07T07:38:22.7327260Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7327788Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7328255Z return mod(*inputs) 2025-09-07T07:38:22.7328741Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7329279Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7329765Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7330269Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7330800Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7331349Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7332048Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7332679Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7333254Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7333839Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7334451Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:38:22.7335006Z query, key, value = [ 2025-09-07T07:38:22.7335535Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:38:22.7336259Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:38:22.7336498Z 2025-09-07T07:38:22.7336639Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7337153Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7337621Z return mod(*inputs) 2025-09-07T07:38:22.7338108Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7338646Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7339123Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7339616Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7340130Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7340681Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7341242Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7341837Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7342414Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7343001Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7343612Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.7344264Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.7344895Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:38:22.7345572Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:38:22.7345891Z 2025-09-07T07:38:22.7346029Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7346557Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7347019Z return mod(*inputs) 2025-09-07T07:38:22.7347504Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7348044Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7348526Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7349022Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7349538Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7350091Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7350650Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7351245Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7351832Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7352409Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7353154Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.7353815Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.7354447Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:38:22.7355123Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:38:22.7355439Z 2025-09-07T07:38:22.7355576Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7356097Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7356648Z return mod(*inputs) 2025-09-07T07:38:22.7357128Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7357662Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7358144Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7358646Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7359162Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7359714Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7360268Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7360857Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7361434Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7362014Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7362629Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.7363281Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.7363989Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:38:22.7364662Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:38:22.7364979Z 2025-09-07T07:38:22.7365123Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7365644Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7366106Z return mod(*inputs) 2025-09-07T07:38:22.7366593Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7367133Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7367621Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7368118Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7368638Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7369185Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7369744Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7370330Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7370897Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7371475Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7372084Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:38:22.7372640Z query, key, value = [ 2025-09-07T07:38:22.7373171Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:38:22.7373984Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:38:22.7374242Z 2025-09-07T07:38:22.7374381Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7374898Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7375357Z return mod(*inputs) 2025-09-07T07:38:22.7375834Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7376369Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7376844Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7377471Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7377988Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7378534Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7379097Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7379690Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7380263Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7380836Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7381444Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.7382091Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.7382726Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:38:22.7383293Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:38:22.7383494Z 2025-09-07T07:38:22.7383630Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7384152Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7384612Z return mod(*inputs) 2025-09-07T07:38:22.7385094Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7385630Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7386102Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7386604Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7387120Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7387673Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7388229Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7388816Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7389393Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7389977Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7390593Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.7391236Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.7391868Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:38:22.7392432Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:38:22.7392643Z 2025-09-07T07:38:22.7392786Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7393301Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7393759Z return mod(*inputs) 2025-09-07T07:38:22.7394383Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7394932Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7395409Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7395901Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7396413Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7396960Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7397516Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7398185Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7398754Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7399336Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7399942Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T07:38:22.7400599Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T07:38:22.7400883Z 2025-09-07T07:38:22.7401022Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7401537Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7401996Z return mod(*inputs) 2025-09-07T07:38:22.7402476Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7403014Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7403489Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7403985Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7404505Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7405059Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7405616Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7406200Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7406778Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7407350Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7407956Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-09-07T07:38:22.7408518Z return self.output_linear(x) 2025-09-07T07:38:22.7408682Z 2025-09-07T07:38:22.7408817Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7409343Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7409802Z return mod(*inputs) 2025-09-07T07:38:22.7410283Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7410812Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7411289Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7411786Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7412311Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.7412860Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.7413420Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7414010Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7414731Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:38:22.7415361Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:38:22.7415613Z 2025-09-07T07:38:22.7415753Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7416264Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7416723Z return mod(*inputs) 2025-09-07T07:38:22.7417204Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7417735Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7418304Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7418805Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7419322Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.7419867Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.7420426Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7421008Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7421605Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:38:22.7422218Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:38:22.7422472Z 2025-09-07T07:38:22.7422613Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7423130Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7423592Z return mod(*inputs) 2025-09-07T07:38:22.7424072Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7424611Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7425091Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7425582Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7426093Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.7426641Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.7427194Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7427776Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7428382Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:38:22.7428998Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:38:22.7429252Z 2025-09-07T07:38:22.7429393Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7429908Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7430363Z return mod(*inputs) 2025-09-07T07:38:22.7430844Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7431375Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7431855Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7432349Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7432860Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7433414Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7433973Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7434680Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7435262Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7435837Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7436449Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:38:22.7436998Z query, key, value = [ 2025-09-07T07:38:22.7437526Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:38:22.7438153Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:38:22.7438524Z 2025-09-07T07:38:22.7438662Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7439176Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7439637Z return mod(*inputs) 2025-09-07T07:38:22.7440119Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7440646Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7441125Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7441621Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7442133Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7442676Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7443229Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7443818Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7444386Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7444966Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7445572Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:38:22.7446125Z query, key, value = [ 2025-09-07T07:38:22.7446652Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:38:22.7447281Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:38:22.7447521Z 2025-09-07T07:38:22.7447661Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7448176Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7448639Z return mod(*inputs) 2025-09-07T07:38:22.7449118Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7449649Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7450127Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7450625Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7451137Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7451684Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7452240Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7452822Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7453393Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7453974Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7454586Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.7455349Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.7455989Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:38:22.7456661Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:38:22.7456980Z 2025-09-07T07:38:22.7457114Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7457626Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7458083Z return mod(*inputs) 2025-09-07T07:38:22.7458566Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7459207Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7459689Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7460185Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7460699Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7461245Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7461802Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7462389Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7462961Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7463538Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7464245Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.7464895Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.7465528Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:38:22.7466200Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:38:22.7466517Z 2025-09-07T07:38:22.7466653Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7467169Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7467630Z return mod(*inputs) 2025-09-07T07:38:22.7468110Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7468638Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7469117Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7469616Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7470129Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7470676Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7471232Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7471819Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7472392Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7472971Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7473580Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.7474229Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.7474867Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:38:22.7475533Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:38:22.7476031Z 2025-09-07T07:38:22.7476183Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7476692Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7477150Z return mod(*inputs) 2025-09-07T07:38:22.7477629Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7478161Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7478636Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7479128Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7479787Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7480334Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7480891Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7481471Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7482041Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7482614Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7483224Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:38:22.7483770Z query, key, value = [ 2025-09-07T07:38:22.7484294Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:38:22.7484924Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:38:22.7485169Z 2025-09-07T07:38:22.7485307Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7485825Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7486288Z return mod(*inputs) 2025-09-07T07:38:22.7486765Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7487298Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7487774Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7488270Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7488781Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7489335Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7489896Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7490483Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7491060Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7491635Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7492241Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.7492888Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.7493516Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:38:22.7494076Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:38:22.7494285Z 2025-09-07T07:38:22.7494421Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7494944Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7495404Z return mod(*inputs) 2025-09-07T07:38:22.7496010Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7496554Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7497033Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7497530Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7498045Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7498591Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7499146Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7499731Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7500386Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7500962Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7501572Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.7502216Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.7502845Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:38:22.7503411Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:38:22.7503612Z 2025-09-07T07:38:22.7503751Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7504267Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7504725Z return mod(*inputs) 2025-09-07T07:38:22.7505210Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7505739Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7506219Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7506713Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7507227Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7507771Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7508328Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7508912Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7509484Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7510064Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7510675Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T07:38:22.7511331Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T07:38:22.7511619Z 2025-09-07T07:38:22.7511757Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7512288Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7512749Z return mod(*inputs) 2025-09-07T07:38:22.7513230Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7513763Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7514242Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7514739Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7515259Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7515804Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7529381Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7530066Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7530661Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7531248Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7531859Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-09-07T07:38:22.7532424Z return self.output_linear(x) 2025-09-07T07:38:22.7532594Z 2025-09-07T07:38:22.7532732Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7533363Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7533825Z return mod(*inputs) 2025-09-07T07:38:22.7534309Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7534851Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7535333Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7535834Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7536345Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.7536893Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.7537451Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7538040Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7538647Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:38:22.7539269Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:38:22.7539525Z 2025-09-07T07:38:22.7539669Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7540190Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7540652Z return mod(*inputs) 2025-09-07T07:38:22.7541129Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7541664Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7542144Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7542642Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7543154Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.7543705Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.7544265Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7544857Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7545459Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:38:22.7546074Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:38:22.7546332Z 2025-09-07T07:38:22.7546470Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7546990Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7547449Z return mod(*inputs) 2025-09-07T07:38:22.7547926Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7548461Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7548938Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7549435Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7550071Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.7550635Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.7551190Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7551778Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7552380Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:38:22.7552994Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:38:22.7553249Z 2025-09-07T07:38:22.7553385Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7554004Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7554466Z return mod(*inputs) 2025-09-07T07:38:22.7554950Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7555481Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7555958Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7556453Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7556962Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.7557512Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.7558063Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7558652Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7558895Z 2025-09-07T07:38:22.7559032Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7559545Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7560008Z return mod(*inputs) 2025-09-07T07:38:22.7560485Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7561023Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7561498Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7561993Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7562500Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7563050Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7563605Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7564310Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7564886Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7565464Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7566079Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:38:22.7566629Z query, key, value = [ 2025-09-07T07:38:22.7567159Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:38:22.7567790Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:38:22.7568033Z 2025-09-07T07:38:22.7568170Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7568688Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7569154Z return mod(*inputs) 2025-09-07T07:38:22.7569631Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7570348Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7570843Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7571340Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7571857Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7572408Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7572963Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7573555Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7574124Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7574844Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7575453Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:38:22.7575999Z query, key, value = [ 2025-09-07T07:38:22.7576528Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:38:22.7577156Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:38:22.7577393Z 2025-09-07T07:38:22.7577530Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7578040Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7578500Z return mod(*inputs) 2025-09-07T07:38:22.7578982Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7579521Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7580000Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7580495Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7581011Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7581563Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7582118Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7582706Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7583273Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7583851Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7584466Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.7585116Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.7585751Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:38:22.7586424Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:38:22.7586741Z 2025-09-07T07:38:22.7586878Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7587397Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7587858Z return mod(*inputs) 2025-09-07T07:38:22.7588338Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7588874Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7589354Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7589858Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7590372Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7591039Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7591610Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7592198Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7592770Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7593344Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7593957Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.7594605Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.7595348Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:38:22.7596017Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:38:22.7596334Z 2025-09-07T07:38:22.7596469Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7596987Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7597446Z return mod(*inputs) 2025-09-07T07:38:22.7597925Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7598455Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7598930Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7599430Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7599948Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7600489Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7601043Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7601628Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7602196Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7602772Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7603379Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.7604022Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.7604656Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:38:22.7605326Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:38:22.7605640Z 2025-09-07T07:38:22.7605779Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7606299Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7606755Z return mod(*inputs) 2025-09-07T07:38:22.7607235Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7607770Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7608244Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7608737Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7609256Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7609815Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7610372Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7610960Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7611661Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7612251Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7612862Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:38:22.7613410Z query, key, value = [ 2025-09-07T07:38:22.7613938Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:38:22.7614558Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:38:22.7614802Z 2025-09-07T07:38:22.7614937Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7615554Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7616015Z return mod(*inputs) 2025-09-07T07:38:22.7616501Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7617031Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7617507Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7618003Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7618516Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7619061Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7619618Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7620213Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7620786Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7621357Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7621966Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.7622615Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.7623245Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:38:22.7623809Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:38:22.7624012Z 2025-09-07T07:38:22.7624151Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7624665Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7625128Z return mod(*inputs) 2025-09-07T07:38:22.7625608Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7626139Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7626618Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7627113Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7627627Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7628172Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7628728Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7629314Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7629888Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7630473Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7631082Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.7631846Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.7632499Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:38:22.7633064Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:38:22.7633269Z 2025-09-07T07:38:22.7633404Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7633923Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7634378Z return mod(*inputs) 2025-09-07T07:38:22.7634857Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7635472Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7635952Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7636450Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7636962Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7637509Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7638063Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7638652Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7639221Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7639791Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7640402Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T07:38:22.7641063Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T07:38:22.7641343Z 2025-09-07T07:38:22.7641482Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7641996Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7642454Z return mod(*inputs) 2025-09-07T07:38:22.7642937Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7643473Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7643949Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7644439Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7644951Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7645498Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7646056Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7646640Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7647212Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7647784Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7648391Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-09-07T07:38:22.7648948Z return self.output_linear(x) 2025-09-07T07:38:22.7649112Z 2025-09-07T07:38:22.7649249Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7649766Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7650225Z return mod(*inputs) 2025-09-07T07:38:22.7650712Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7651243Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7651717Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7652353Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7652882Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.7653428Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.7653980Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7654568Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7655170Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:38:22.7655790Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:38:22.7656132Z 2025-09-07T07:38:22.7656271Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7656783Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7657246Z return mod(*inputs) 2025-09-07T07:38:22.7657728Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7658259Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7658736Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7659225Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7659740Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.7660284Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.7660841Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7661427Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7662032Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:38:22.7662647Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:38:22.7662898Z 2025-09-07T07:38:22.7663037Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7663550Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7664101Z return mod(*inputs) 2025-09-07T07:38:22.7664585Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7665116Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7665592Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7666088Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7666599Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.7667146Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.7667709Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7668297Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7668893Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:38:22.7669510Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:38:22.7669765Z 2025-09-07T07:38:22.7669902Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7670421Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7670886Z return mod(*inputs) 2025-09-07T07:38:22.7671361Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7671890Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7672568Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7673076Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7673583Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7674128Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7674680Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7675265Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7675837Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7676530Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7677140Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:38:22.7677686Z query, key, value = [ 2025-09-07T07:38:22.7678220Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:38:22.7678848Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:38:22.7679087Z 2025-09-07T07:38:22.7679222Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7679739Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7680198Z return mod(*inputs) 2025-09-07T07:38:22.7680679Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7681213Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7681689Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7682184Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7682701Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7683244Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7683791Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7684380Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7684953Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7685529Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7686135Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:38:22.7686686Z query, key, value = [ 2025-09-07T07:38:22.7687213Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:38:22.7687843Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:38:22.7688082Z 2025-09-07T07:38:22.7688217Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7688730Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7689187Z return mod(*inputs) 2025-09-07T07:38:22.7689667Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7690199Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7690677Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7691168Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7691684Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7692227Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7692896Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7693502Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7694073Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7694645Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7695253Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.7695893Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.7696516Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:38:22.7697268Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:38:22.7697581Z 2025-09-07T07:38:22.7697715Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7698235Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7698693Z return mod(*inputs) 2025-09-07T07:38:22.7699167Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7699697Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7700173Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7700664Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7701171Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7701722Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7702275Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7702861Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7703434Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7704003Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7704610Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.7705252Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.7705881Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:38:22.7706547Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:38:22.7706865Z 2025-09-07T07:38:22.7707001Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7707518Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7707973Z return mod(*inputs) 2025-09-07T07:38:22.7708457Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7708984Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7709477Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7709971Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7710484Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7711033Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7711592Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7712184Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7712755Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7713450Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7714071Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.7714720Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.7715347Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:38:22.7716012Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:38:22.7716324Z 2025-09-07T07:38:22.7716459Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7717064Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7717522Z return mod(*inputs) 2025-09-07T07:38:22.7718001Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7718535Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7719007Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7719502Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7720016Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7720561Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7721115Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7721699Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7722273Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7722847Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7723457Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:38:22.7724000Z query, key, value = [ 2025-09-07T07:38:22.7724529Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:38:22.7725155Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:38:22.7725393Z 2025-09-07T07:38:22.7725533Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7726048Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7726503Z return mod(*inputs) 2025-09-07T07:38:22.7726979Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7727516Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7727991Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7728487Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7729000Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7729544Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7730099Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7730687Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7731255Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7731833Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7732447Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.7733098Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.7733838Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:38:22.7734411Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:38:22.7734616Z 2025-09-07T07:38:22.7734754Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7735272Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7735729Z return mod(*inputs) 2025-09-07T07:38:22.7736207Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7736738Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7737215Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7737842Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7738353Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7738901Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7739457Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7740040Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7740612Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7741185Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7741794Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.7742435Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.7743068Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:38:22.7743629Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:38:22.7743829Z 2025-09-07T07:38:22.7743967Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7744484Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7744945Z return mod(*inputs) 2025-09-07T07:38:22.7745424Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7745952Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7746424Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7746916Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7747427Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7747978Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7748529Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7749120Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7749692Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7750269Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7750878Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T07:38:22.7751529Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T07:38:22.7751814Z 2025-09-07T07:38:22.7751948Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7752467Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7752925Z return mod(*inputs) 2025-09-07T07:38:22.7753407Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7754077Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7754568Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7755060Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7755572Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7756113Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7756672Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7757256Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7757921Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7758497Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7759106Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-09-07T07:38:22.7759669Z return self.output_linear(x) 2025-09-07T07:38:22.7759836Z 2025-09-07T07:38:22.7759970Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7760486Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7760941Z return mod(*inputs) 2025-09-07T07:38:22.7761418Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7761948Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7762426Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7762921Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7763431Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.7764073Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.7764639Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7765226Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7765826Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:38:22.7766437Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:38:22.7766690Z 2025-09-07T07:38:22.7766826Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7767339Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7767805Z return mod(*inputs) 2025-09-07T07:38:22.7768281Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7768809Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7769287Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7769783Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7770298Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.7770840Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.7771400Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7771983Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7772584Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:38:22.7773199Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:38:22.7773453Z 2025-09-07T07:38:22.7773589Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7774268Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7774737Z return mod(*inputs) 2025-09-07T07:38:22.7775213Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7775739Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7776217Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7776709Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7777220Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.7777766Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.7778449Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7779036Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7779635Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:38:22.7780252Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:38:22.7780502Z 2025-09-07T07:38:22.7780638Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7781151Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7781609Z return mod(*inputs) 2025-09-07T07:38:22.7782089Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7782618Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7783100Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7783595Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7784108Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.7784658Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.7785211Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7785798Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7786038Z 2025-09-07T07:38:22.7786173Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7786688Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7787143Z return mod(*inputs) 2025-09-07T07:38:22.7787620Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7788159Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7788633Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7789126Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7789641Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7790185Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7790741Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7791326Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7791897Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7792470Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7793083Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:38:22.7793635Z query, key, value = [ 2025-09-07T07:38:22.7794165Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:38:22.7794906Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:38:22.7795162Z 2025-09-07T07:38:22.7795606Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7796120Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7796579Z return mod(*inputs) 2025-09-07T07:38:22.7797059Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7797588Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7798061Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7798650Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7799162Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7799704Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7800255Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7800839Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7801409Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7801983Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7802591Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:38:22.7803134Z query, key, value = [ 2025-09-07T07:38:22.7803659Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:38:22.7804285Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:38:22.7804524Z 2025-09-07T07:38:22.7804661Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7805183Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7805636Z return mod(*inputs) 2025-09-07T07:38:22.7806113Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7806644Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7807130Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7807624Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7808138Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7808691Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7809247Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7809831Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7810404Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7810979Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7811590Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.7812237Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.7812872Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:38:22.7813537Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:38:22.7813861Z 2025-09-07T07:38:22.7813996Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7814515Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7814976Z return mod(*inputs) 2025-09-07T07:38:22.7815572Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7816120Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7816595Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7817089Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7817600Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7818144Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7818696Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7819392Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7819964Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7820545Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7821151Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.7821798Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.7822425Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:38:22.7823092Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:38:22.7823407Z 2025-09-07T07:38:22.7823544Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7824061Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7824519Z return mod(*inputs) 2025-09-07T07:38:22.7825000Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7825534Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7826008Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7826506Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7827017Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7827563Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7828119Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7828702Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7829280Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7829859Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7830473Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.7831117Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.7831746Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:38:22.7832415Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:38:22.7832730Z 2025-09-07T07:38:22.7832866Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7833383Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7833843Z return mod(*inputs) 2025-09-07T07:38:22.7834327Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7834855Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7835452Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7835956Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7836467Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7837015Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7837570Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7838157Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7838724Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7839299Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7839998Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:38:22.7840547Z query, key, value = [ 2025-09-07T07:38:22.7841078Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:38:22.7841700Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:38:22.7841942Z 2025-09-07T07:38:22.7842076Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7842592Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7843049Z return mod(*inputs) 2025-09-07T07:38:22.7843526Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7844053Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7844533Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7845027Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7845538Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7846081Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7846637Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7847219Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7847792Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7848362Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7848964Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.7849616Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.7850243Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:38:22.7850804Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:38:22.7851010Z 2025-09-07T07:38:22.7851149Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7851660Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7852120Z return mod(*inputs) 2025-09-07T07:38:22.7852600Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7853125Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7853596Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7854097Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7854614Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7855161Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7855827Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7856417Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7856994Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7857569Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7858178Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.7858826Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.7859452Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:38:22.7860107Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:38:22.7860312Z 2025-09-07T07:38:22.7860447Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7860965Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7861420Z return mod(*inputs) 2025-09-07T07:38:22.7861900Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7862431Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7862905Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7863402Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7863979Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7864531Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7865092Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7865677Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7866249Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7866824Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7867429Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T07:38:22.7868083Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T07:38:22.7868362Z 2025-09-07T07:38:22.7868500Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7869012Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7869473Z return mod(*inputs) 2025-09-07T07:38:22.7869958Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7870492Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7870965Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7871461Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7871975Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7872519Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7873074Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7873656Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7874227Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7874801Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7875415Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-09-07T07:38:22.7875968Z return self.output_linear(x) 2025-09-07T07:38:22.7876132Z 2025-09-07T07:38:22.7876448Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7876754Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7876831Z return mod(*inputs) 2025-09-07T07:38:22.7877185Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7877269Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7877580Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7877674Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7878009Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.7878238Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.7878592Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7878741Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7879105Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:38:22.7879262Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:38:22.7879267Z 2025-09-07T07:38:22.7879407Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7879693Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7879771Z return mod(*inputs) 2025-09-07T07:38:22.7880118Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7880206Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7880516Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7880608Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7880950Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.7881062Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.7881407Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7881551Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7881915Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:38:22.7882073Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:38:22.7882078Z 2025-09-07T07:38:22.7882218Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7882506Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7882580Z return mod(*inputs) 2025-09-07T07:38:22.7882930Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7883018Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7883325Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7883418Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7883755Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.7883866Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.7884216Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7884360Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7884726Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:38:22.7884974Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:38:22.7884980Z 2025-09-07T07:38:22.7885124Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7885409Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7885486Z return mod(*inputs) 2025-09-07T07:38:22.7885836Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7885921Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7886230Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7886321Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7886756Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7886872Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7887220Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7887365Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7887699Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7887841Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7888217Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:38:22.7888294Z query, key, value = [ 2025-09-07T07:38:22.7888686Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:38:22.7888832Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:38:22.7888837Z 2025-09-07T07:38:22.7888973Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7889266Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7889341Z return mod(*inputs) 2025-09-07T07:38:22.7889693Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7889778Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7890087Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7890176Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7890512Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7890625Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7890974Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7891117Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7891453Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7891594Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7891970Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:38:22.7892046Z query, key, value = [ 2025-09-07T07:38:22.7892435Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:38:22.7892576Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:38:22.7892581Z 2025-09-07T07:38:22.7892720Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7893012Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7893085Z return mod(*inputs) 2025-09-07T07:38:22.7893438Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7893615Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7893935Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7894026Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7894364Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7894480Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7894825Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7894968Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7895378Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7895516Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7895893Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.7896068Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.7896427Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:38:22.7896640Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:38:22.7896644Z 2025-09-07T07:38:22.7896780Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7897067Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7897140Z return mod(*inputs) 2025-09-07T07:38:22.7897494Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7897578Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7897891Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7897981Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7898316Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7898431Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7898776Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7898920Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7899256Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7899404Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7899777Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.7899956Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.7900317Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:38:22.7900533Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:38:22.7900538Z 2025-09-07T07:38:22.7900678Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7900967Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7901041Z return mod(*inputs) 2025-09-07T07:38:22.7901401Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7901491Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7901802Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7901892Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7902327Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7902449Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7902801Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7902946Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7903281Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7903425Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7903800Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.7904045Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.7904404Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:38:22.7904619Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:38:22.7904624Z 2025-09-07T07:38:22.7904765Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7905052Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7905129Z return mod(*inputs) 2025-09-07T07:38:22.7905476Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7905563Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7905875Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7905970Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7906308Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7906422Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7906772Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7906919Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7907251Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7907397Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7907769Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:38:22.7907847Z query, key, value = [ 2025-09-07T07:38:22.7908238Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:38:22.7908383Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:38:22.7908388Z 2025-09-07T07:38:22.7908526Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7908818Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7908895Z return mod(*inputs) 2025-09-07T07:38:22.7909246Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7909333Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7909644Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7909735Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7910073Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7910193Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7910537Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7910774Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7911114Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7911261Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7911638Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.7911812Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.7912173Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:38:22.7912281Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:38:22.7912353Z 2025-09-07T07:38:22.7912496Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7912782Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7912861Z return mod(*inputs) 2025-09-07T07:38:22.7913211Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7913296Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7913606Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7913698Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7914037Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7914149Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7914495Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7914644Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7914978Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7915126Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7915499Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.7915677Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.7926081Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:38:22.7926249Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:38:22.7926255Z 2025-09-07T07:38:22.7926405Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7926696Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7926791Z return mod(*inputs) 2025-09-07T07:38:22.7927143Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7927233Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7927548Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7927638Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7927975Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7928091Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7928440Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7928583Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7928922Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7929066Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7929437Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T07:38:22.7929826Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T07:38:22.7929833Z 2025-09-07T07:38:22.7929976Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7930266Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7930341Z return mod(*inputs) 2025-09-07T07:38:22.7930689Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7930778Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7931086Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7931258Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7931593Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7931704Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7932056Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7932198Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7932535Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7932676Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7933049Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-09-07T07:38:22.7933137Z return self.output_linear(x) 2025-09-07T07:38:22.7933142Z 2025-09-07T07:38:22.7933282Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7933575Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7933649Z return mod(*inputs) 2025-09-07T07:38:22.7934000Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7934086Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7934393Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7934485Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7934817Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.7934931Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.7935277Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7935423Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7935789Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:38:22.7935948Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:38:22.7935953Z 2025-09-07T07:38:22.7936091Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7936379Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7936458Z return mod(*inputs) 2025-09-07T07:38:22.7936803Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7936887Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7937199Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7937288Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7937628Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.7937739Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.7938178Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7938328Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7938691Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:38:22.7938848Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:38:22.7938853Z 2025-09-07T07:38:22.7938987Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7939277Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7939352Z return mod(*inputs) 2025-09-07T07:38:22.7939700Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7939862Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7940170Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7940264Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7940598Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.7940709Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.7941057Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7941198Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7941561Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:38:22.7941715Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:38:22.7941724Z 2025-09-07T07:38:22.7941856Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7942147Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7942225Z return mod(*inputs) 2025-09-07T07:38:22.7942576Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7942661Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7942974Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7943064Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7943398Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.7943513Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.7943860Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7944009Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7944014Z 2025-09-07T07:38:22.7944147Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7944437Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7944515Z return mod(*inputs) 2025-09-07T07:38:22.7944861Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7944947Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7945254Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7945342Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7945678Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7945792Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7946142Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7946282Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7946712Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7946862Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7947236Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:38:22.7947316Z query, key, value = [ 2025-09-07T07:38:22.7947702Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:38:22.7947849Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:38:22.7947854Z 2025-09-07T07:38:22.7948052Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7948343Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7948425Z return mod(*inputs) 2025-09-07T07:38:22.7948786Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7948873Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7949183Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7949270Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7949609Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7949721Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7950071Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7950216Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7950553Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7950695Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7951070Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:38:22.7951150Z query, key, value = [ 2025-09-07T07:38:22.7951536Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:38:22.7951681Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:38:22.7951686Z 2025-09-07T07:38:22.7951821Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7952108Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7952185Z return mod(*inputs) 2025-09-07T07:38:22.7952535Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7952622Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7952935Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7953030Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7953366Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7953479Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7953830Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7953971Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7954307Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7954453Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7954825Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.7955098Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.7955461Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:38:22.7955677Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:38:22.7955683Z 2025-09-07T07:38:22.7955817Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7956105Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7956178Z return mod(*inputs) 2025-09-07T07:38:22.7956523Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7956667Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7956973Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7957067Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7957412Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7957525Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7957876Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7958016Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7958350Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7958491Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7958865Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.7959046Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.7959398Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:38:22.7959617Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:38:22.7959622Z 2025-09-07T07:38:22.7959759Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7960047Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7960121Z return mod(*inputs) 2025-09-07T07:38:22.7960469Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7960558Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7960866Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7960963Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7961298Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7961410Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7961761Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7961903Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7962241Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7962381Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7962759Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.7962936Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.7963295Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:38:22.7963512Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:38:22.7963516Z 2025-09-07T07:38:22.7963774Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7964150Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7964225Z return mod(*inputs) 2025-09-07T07:38:22.7964574Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7964659Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7964967Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7965057Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7965389Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7965701Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7966049Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7966193Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7966526Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7966667Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7967042Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:38:22.7967118Z query, key, value = [ 2025-09-07T07:38:22.7967502Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:38:22.7967647Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:38:22.7967655Z 2025-09-07T07:38:22.7967791Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7968080Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7968157Z return mod(*inputs) 2025-09-07T07:38:22.7968503Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7968590Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7968898Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7968991Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7969325Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7969438Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7969787Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7969929Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7970266Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7970412Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7970785Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.7970959Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.7971313Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:38:22.7971424Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:38:22.7971428Z 2025-09-07T07:38:22.7971563Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7971855Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7971934Z return mod(*inputs) 2025-09-07T07:38:22.7972280Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7972496Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7972809Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7972902Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7973236Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7973351Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7973698Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7973843Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7974260Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7974402Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7974782Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.7974955Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.7975313Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:38:22.7975420Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:38:22.7975425Z 2025-09-07T07:38:22.7975560Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7975851Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7975924Z return mod(*inputs) 2025-09-07T07:38:22.7976272Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7976361Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7976669Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7976768Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7977101Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7977217Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7977561Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7977699Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7978037Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7978178Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7978558Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T07:38:22.7978742Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T07:38:22.7978747Z 2025-09-07T07:38:22.7978884Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7979174Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7979248Z return mod(*inputs) 2025-09-07T07:38:22.7979597Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7979679Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7979987Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7980077Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7980410Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7980529Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7980872Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7981105Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7981448Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7981588Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7981963Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-09-07T07:38:22.7982051Z return self.output_linear(x) 2025-09-07T07:38:22.7982055Z 2025-09-07T07:38:22.7982193Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7982481Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7982641Z return mod(*inputs) 2025-09-07T07:38:22.7982992Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7983077Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7983390Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7983479Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7983814Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.7983926Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.7984271Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7984416Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7984777Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:38:22.7984938Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:38:22.7984943Z 2025-09-07T07:38:22.7985077Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7985366Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7985443Z return mod(*inputs) 2025-09-07T07:38:22.7985787Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7985873Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7986181Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7986271Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7986606Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.7986722Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.7987071Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7987211Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7987580Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:38:22.7987733Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:38:22.7987738Z 2025-09-07T07:38:22.7987873Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7988163Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7988237Z return mod(*inputs) 2025-09-07T07:38:22.7988585Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7988670Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7988981Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7989073Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7989493Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.7989617Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.7989964Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7990106Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7990469Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:38:22.7990621Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:38:22.7990626Z 2025-09-07T07:38:22.7990763Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7991141Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7991220Z return mod(*inputs) 2025-09-07T07:38:22.7991563Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7991651Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7991963Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7992051Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7992387Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7992500Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7992845Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7992988Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7993326Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7993471Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7993846Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:38:22.7993930Z query, key, value = [ 2025-09-07T07:38:22.7994319Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:38:22.7994460Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:38:22.7994469Z 2025-09-07T07:38:22.7994605Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7994891Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7994969Z return mod(*inputs) 2025-09-07T07:38:22.7995315Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7995407Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7995715Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7995809Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.7996150Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.7996263Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.7996613Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.7996753Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.7997088Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.7997232Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.7997608Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:38:22.7997687Z query, key, value = [ 2025-09-07T07:38:22.7998176Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:38:22.7998326Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:38:22.7998335Z 2025-09-07T07:38:22.7998469Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.7998755Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.7998833Z return mod(*inputs) 2025-09-07T07:38:22.7999178Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.7999264Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.7999571Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.7999737Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8000074Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8000190Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8000537Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8000677Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8001011Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8001154Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8001525Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.8001702Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.8002060Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:38:22.8002274Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:38:22.8002279Z 2025-09-07T07:38:22.8002418Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8002704Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8002779Z return mod(*inputs) 2025-09-07T07:38:22.8003129Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8003213Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8003519Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8003608Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8003948Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8004060Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8004412Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8004554Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8004889Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8005034Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8005403Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.8005579Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.8005932Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:38:22.8006153Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:38:22.8006158Z 2025-09-07T07:38:22.8006294Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8006668Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8006749Z return mod(*inputs) 2025-09-07T07:38:22.8007097Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8007185Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8007491Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8007582Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8007920Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8008031Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8008465Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8008608Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8008951Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8009092Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8009462Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.8009639Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.8009993Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:38:22.8010210Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:38:22.8010219Z 2025-09-07T07:38:22.8010352Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8010638Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8010715Z return mod(*inputs) 2025-09-07T07:38:22.8011066Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8011154Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8011461Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8011555Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8011891Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8012003Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8012351Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8012495Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8012830Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8012969Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8013343Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:38:22.8013423Z query, key, value = [ 2025-09-07T07:38:22.8013808Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:38:22.8013951Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:38:22.8013956Z 2025-09-07T07:38:22.8014092Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8014380Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8014459Z return mod(*inputs) 2025-09-07T07:38:22.8014806Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8014895Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8015294Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8015394Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8015731Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8015843Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8016193Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8016333Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8016671Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8016887Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8017258Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.8017439Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.8017794Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:38:22.8017905Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:38:22.8017910Z 2025-09-07T07:38:22.8018044Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8018334Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8018409Z return mod(*inputs) 2025-09-07T07:38:22.8018754Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8018848Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8019156Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8019250Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8019589Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8019701Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8020050Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8020190Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8020527Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8020667Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8021036Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.8021218Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.8021573Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:38:22.8021687Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:38:22.8021692Z 2025-09-07T07:38:22.8021825Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8022113Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8022187Z return mod(*inputs) 2025-09-07T07:38:22.8022534Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8022622Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8022926Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8023023Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8023355Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8023466Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8023906Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8024054Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8024392Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8024532Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8024901Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T07:38:22.8025089Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T07:38:22.8025094Z 2025-09-07T07:38:22.8025325Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8025614Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8025687Z return mod(*inputs) 2025-09-07T07:38:22.8026042Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8026128Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8026435Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8026527Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8026861Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8026975Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8027320Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8027467Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8027805Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8027945Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8028324Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-09-07T07:38:22.8028411Z return self.output_linear(x) 2025-09-07T07:38:22.8028416Z 2025-09-07T07:38:22.8028552Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8028838Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8028911Z return mod(*inputs) 2025-09-07T07:38:22.8029260Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8029344Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8029657Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8029748Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8030088Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.8030205Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.8030551Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8030695Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8031056Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:38:22.8031210Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:38:22.8031218Z 2025-09-07T07:38:22.8031351Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8031641Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8031719Z return mod(*inputs) 2025-09-07T07:38:22.8032064Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8032250Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8032565Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8032654Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8032993Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.8033106Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.8033450Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8033591Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8034029Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:38:22.8034188Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:38:22.8034193Z 2025-09-07T07:38:22.8034331Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8034620Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8034694Z return mod(*inputs) 2025-09-07T07:38:22.8035039Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8035123Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8035430Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8035524Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8035859Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.8035979Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.8036325Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8036468Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8036834Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:38:22.8036989Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:38:22.8036994Z 2025-09-07T07:38:22.8037131Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8037417Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8037491Z return mod(*inputs) 2025-09-07T07:38:22.8037840Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8037929Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8038240Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8038330Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8038672Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.8038784Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.8039132Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8039275Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8039279Z 2025-09-07T07:38:22.8039415Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8039702Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8039776Z return mod(*inputs) 2025-09-07T07:38:22.8040123Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8040213Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8040606Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8040709Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8041046Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8041157Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8041508Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8041653Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8041991Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8042208Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8042581Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:38:22.8042658Z query, key, value = [ 2025-09-07T07:38:22.8043045Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:38:22.8043192Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:38:22.8043197Z 2025-09-07T07:38:22.8043331Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8043622Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8043695Z return mod(*inputs) 2025-09-07T07:38:22.8044045Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8044134Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8044444Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8044538Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8044874Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8044990Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8045340Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8045482Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8045819Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8045960Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8046337Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:38:22.8046420Z query, key, value = [ 2025-09-07T07:38:22.8046805Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:38:22.8046950Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:38:22.8046955Z 2025-09-07T07:38:22.8047093Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8047383Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8047457Z return mod(*inputs) 2025-09-07T07:38:22.8047803Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8047891Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8048197Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8048289Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8048623Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8048741Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8049089Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8049325Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8049671Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8049813Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8050190Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.8050365Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.8050722Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:38:22.8051009Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:38:22.8051013Z 2025-09-07T07:38:22.8051149Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8051442Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8051517Z return mod(*inputs) 2025-09-07T07:38:22.8051867Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8051952Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8052258Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8052350Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8052682Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8052795Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8053141Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8053280Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8053620Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8053761Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8054134Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.8054309Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.8054663Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:38:22.8054880Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:38:22.8054885Z 2025-09-07T07:38:22.8055023Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8055313Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8055387Z return mod(*inputs) 2025-09-07T07:38:22.8055741Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8055827Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8056136Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8056228Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8056560Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8056674Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8057019Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8057164Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8057499Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8057639Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8058127Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.8058310Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.8058671Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:38:22.8058882Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:38:22.8058887Z 2025-09-07T07:38:22.8059022Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8059312Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8059447Z return mod(*inputs) 2025-09-07T07:38:22.8059799Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8059887Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8060199Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8060291Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8060624Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8060739Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8061081Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8061220Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8061556Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8061700Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8062074Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:38:22.8062154Z query, key, value = [ 2025-09-07T07:38:22.8062542Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:38:22.8062682Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:38:22.8062687Z 2025-09-07T07:38:22.8062821Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8063110Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8063182Z return mod(*inputs) 2025-09-07T07:38:22.8063530Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8063619Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8063997Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8064093Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8064433Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8064547Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8064891Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8065031Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8065370Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8065508Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8065881Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.8066060Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.8066603Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:38:22.8066718Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:38:22.8066723Z 2025-09-07T07:38:22.8066856Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8067147Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8067221Z return mod(*inputs) 2025-09-07T07:38:22.8067569Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8067654Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8067962Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8068174Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8068510Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8068625Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8068974Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8069117Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8069450Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8069589Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8069966Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.8070138Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.8070499Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:38:22.8070604Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:38:22.8070609Z 2025-09-07T07:38:22.8070745Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8071037Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8071111Z return mod(*inputs) 2025-09-07T07:38:22.8071459Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8071542Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8071846Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8071937Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8072269Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8072387Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8072731Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8072875Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8073207Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8073347Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8073721Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T07:38:22.8073904Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T07:38:22.8073908Z 2025-09-07T07:38:22.8074044Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8074331Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8074418Z return mod(*inputs) 2025-09-07T07:38:22.8074768Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8074854Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8075254Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8075357Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8075694Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8075810Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8076156Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8076297Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8076633Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8076869Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8077242Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-09-07T07:38:22.8077333Z return self.output_linear(x) 2025-09-07T07:38:22.8077338Z 2025-09-07T07:38:22.8077473Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8077761Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8077836Z return mod(*inputs) 2025-09-07T07:38:22.8078186Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8078270Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8078578Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8078672Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8079005Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.8079119Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.8079466Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8079610Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8079972Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:38:22.8080126Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:38:22.8080131Z 2025-09-07T07:38:22.8080267Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8080552Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8080630Z return mod(*inputs) 2025-09-07T07:38:22.8080979Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8081064Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8081378Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8081468Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8081803Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.8081916Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.8082263Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8082403Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8082765Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:38:22.8082926Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:38:22.8082930Z 2025-09-07T07:38:22.8083064Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8083351Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8083503Z return mod(*inputs) 2025-09-07T07:38:22.8083852Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8083940Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8084246Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8084338Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8084672Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.8084788Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.8085132Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8085332Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8085701Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:38:22.8085853Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:38:22.8085858Z 2025-09-07T07:38:22.8085993Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8086281Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8086355Z return mod(*inputs) 2025-09-07T07:38:22.8086704Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8086789Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8087099Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8087193Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8087528Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8087648Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8087993Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8088136Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8088468Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8088610Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8088983Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:38:22.8089060Z query, key, value = [ 2025-09-07T07:38:22.8089453Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:38:22.8089596Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:38:22.8089601Z 2025-09-07T07:38:22.8089741Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8090026Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8090100Z return mod(*inputs) 2025-09-07T07:38:22.8090448Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8090533Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8090842Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8090932Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8091267Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8091387Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8091736Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8092004Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8092349Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8092493Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8092867Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:38:22.8092944Z query, key, value = [ 2025-09-07T07:38:22.8093334Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:38:22.8093474Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:38:22.8093538Z 2025-09-07T07:38:22.8093682Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8093969Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8094043Z return mod(*inputs) 2025-09-07T07:38:22.8094395Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8094481Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8094792Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8094881Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8095218Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8095332Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8095679Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8095825Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8096160Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8096307Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8096682Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.8096856Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.8097214Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:38:22.8097428Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:38:22.8097433Z 2025-09-07T07:38:22.8097570Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8097854Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8097934Z return mod(*inputs) 2025-09-07T07:38:22.8098279Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8098367Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8098676Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8098765Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8099103Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8099216Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8099562Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8099707Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8100041Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8100188Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8100695Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.8100880Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.8101243Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:38:22.8101456Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:38:22.8101460Z 2025-09-07T07:38:22.8101597Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8101884Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8101960Z return mod(*inputs) 2025-09-07T07:38:22.8102307Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8102456Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8102766Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8102858Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8103197Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8103311Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8103658Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8103802Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8104135Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8104279Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8104655Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.8104831Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.8105190Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:38:22.8105405Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:38:22.8105409Z 2025-09-07T07:38:22.8105547Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8105833Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8105908Z return mod(*inputs) 2025-09-07T07:38:22.8106256Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8106341Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8106656Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8106746Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8107082Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8107197Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8107542Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8107686Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8108017Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8108161Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8108533Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:38:22.8108617Z query, key, value = [ 2025-09-07T07:38:22.8109004Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:38:22.8109145Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:38:22.8109242Z 2025-09-07T07:38:22.8109386Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8109670Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8109747Z return mod(*inputs) 2025-09-07T07:38:22.8110095Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8110180Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8110488Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8110577Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8110991Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8111104Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8111453Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8111596Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8111927Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8112071Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8112439Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.8112615Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.8112972Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:38:22.8113084Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:38:22.8113088Z 2025-09-07T07:38:22.8113226Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8113517Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8113592Z return mod(*inputs) 2025-09-07T07:38:22.8113938Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8114023Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8114333Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8114422Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8114759Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8114870Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8115223Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8115363Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8115698Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8115842Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8116214Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.8116390Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.8116747Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:38:22.8116854Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:38:22.8116858Z 2025-09-07T07:38:22.8116995Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8117286Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8117363Z return mod(*inputs) 2025-09-07T07:38:22.8117797Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8117891Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8118204Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8118294Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8118629Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8118740Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8119085Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8119227Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8119654Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8119798Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8120174Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T07:38:22.8120362Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T07:38:22.8120366Z 2025-09-07T07:38:22.8120500Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8120785Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8120863Z return mod(*inputs) 2025-09-07T07:38:22.8121210Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8121297Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8121608Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8121702Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8122038Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8122150Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8122497Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8122639Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8122973Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8123115Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8123487Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-09-07T07:38:22.8123579Z return self.output_linear(x) 2025-09-07T07:38:22.8123584Z 2025-09-07T07:38:22.8123719Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8124011Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8124090Z return mod(*inputs) 2025-09-07T07:38:22.8124437Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8124526Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8124830Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8124922Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8125258Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.8125372Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.8125718Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8125864Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8126312Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:38:22.8126475Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:38:22.8126480Z 2025-09-07T07:38:22.8126617Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8126905Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8126980Z return mod(*inputs) 2025-09-07T07:38:22.8127329Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8127415Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8127724Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8127884Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8128221Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.8128340Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.8128683Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8128825Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8129186Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:38:22.8129341Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:38:22.8129346Z 2025-09-07T07:38:22.8129479Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8129764Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8129845Z return mod(*inputs) 2025-09-07T07:38:22.8130192Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8130280Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8130590Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8130680Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8131016Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.8131126Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.8131475Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8131614Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8131980Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:38:22.8132139Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:38:22.8132144Z 2025-09-07T07:38:22.8132276Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8132570Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8132644Z return mod(*inputs) 2025-09-07T07:38:22.8132995Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8133079Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8133387Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8133480Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8133815Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.8133930Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.8134278Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8134417Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8134425Z 2025-09-07T07:38:22.8134638Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8134931Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8135012Z return mod(*inputs) 2025-09-07T07:38:22.8135361Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8135447Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8135755Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8135846Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8136184Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8136382Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8136733Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8136878Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8137213Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8137359Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8137733Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:38:22.8137812Z query, key, value = [ 2025-09-07T07:38:22.8138199Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:38:22.8138341Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:38:22.8138352Z 2025-09-07T07:38:22.8138486Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8138772Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8138853Z return mod(*inputs) 2025-09-07T07:38:22.8139201Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8139289Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8139597Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8139687Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8140029Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8140142Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8140494Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8140641Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8140976Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8141123Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8141500Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:38:22.8141581Z query, key, value = [ 2025-09-07T07:38:22.8141968Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:38:22.8142116Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:38:22.8142120Z 2025-09-07T07:38:22.8142256Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8142544Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8142626Z return mod(*inputs) 2025-09-07T07:38:22.8142971Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8143144Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8143456Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8143546Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8143885Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8143998Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8144351Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8144494Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8144826Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8145047Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8145422Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.8145598Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.8145955Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:38:22.8146172Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:38:22.8146176Z 2025-09-07T07:38:22.8146312Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8146598Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8146678Z return mod(*inputs) 2025-09-07T07:38:22.8147024Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8147117Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8147424Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8147518Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8147857Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8147970Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8148319Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8148460Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8148797Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8148937Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8149313Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.8149490Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.8149850Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:38:22.8150066Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:38:22.8150071Z 2025-09-07T07:38:22.8150204Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8150491Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8150567Z return mod(*inputs) 2025-09-07T07:38:22.8150912Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8151000Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8151311Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8151400Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8151820Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8151938Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8152286Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8152427Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8152762Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8152902Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8153276Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.8153551Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.8153909Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:38:22.8154128Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:38:22.8154132Z 2025-09-07T07:38:22.8154268Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8154555Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8154632Z return mod(*inputs) 2025-09-07T07:38:22.8154980Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8155068Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8155377Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8155476Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8155809Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8155927Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8156280Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8156420Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8156758Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8156899Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8157269Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:38:22.8157349Z query, key, value = [ 2025-09-07T07:38:22.8157735Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:38:22.8157883Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:38:22.8157888Z 2025-09-07T07:38:22.8158022Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8158312Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8158387Z return mod(*inputs) 2025-09-07T07:38:22.8158736Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8158825Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8159133Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8159227Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8159559Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8159671Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8160027Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8160170Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8160595Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8160744Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8161114Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.8161291Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.8161647Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:38:22.8161757Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:38:22.8161761Z 2025-09-07T07:38:22.8161965Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8162255Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8162332Z return mod(*inputs) 2025-09-07T07:38:22.8162681Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8162769Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8163078Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8163171Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8163506Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8163618Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8164068Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8164213Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8164552Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8164691Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8165067Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.8165246Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.8165602Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:38:22.8165712Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:38:22.8165717Z 2025-09-07T07:38:22.8165850Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8166143Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8166221Z return mod(*inputs) 2025-09-07T07:38:22.8166568Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8166657Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8166968Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8167062Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8167398Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8167510Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8167860Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8168000Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8168338Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8168483Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8168857Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T07:38:22.8169209Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T07:38:22.8169215Z 2025-09-07T07:38:22.8169358Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8169651Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8169726Z return mod(*inputs) 2025-09-07T07:38:22.8170076Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8170160Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8170464Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8170680Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8171015Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8171131Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8171478Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8171616Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8171952Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8172090Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8172464Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-09-07T07:38:22.8172551Z return self.output_linear(x) 2025-09-07T07:38:22.8172555Z 2025-09-07T07:38:22.8172693Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8172983Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8173056Z return mod(*inputs) 2025-09-07T07:38:22.8173408Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8173493Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8173804Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8173893Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8174230Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.8174346Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.8174691Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8174834Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8175201Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:38:22.8175354Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:38:22.8175361Z 2025-09-07T07:38:22.8175499Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8175784Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8175861Z return mod(*inputs) 2025-09-07T07:38:22.8176205Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8176294Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8176602Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8176693Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8177030Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.8177147Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.8177498Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8177734Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8178105Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:38:22.8178262Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:38:22.8178266Z 2025-09-07T07:38:22.8178402Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8178689Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8178764Z return mod(*inputs) 2025-09-07T07:38:22.8179113Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8179262Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8179570Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8179664Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8180002Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.8180118Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.8180463Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8180602Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8180970Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:38:22.8181123Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:38:22.8181132Z 2025-09-07T07:38:22.8181269Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8181554Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8181630Z return mod(*inputs) 2025-09-07T07:38:22.8181983Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8182070Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8182382Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8182473Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8182811Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8182922Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8183266Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8183413Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8183747Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8183894Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8184267Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:38:22.8184345Z query, key, value = [ 2025-09-07T07:38:22.8184735Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:38:22.8184876Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:38:22.8184881Z 2025-09-07T07:38:22.8185019Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8185309Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8185391Z return mod(*inputs) 2025-09-07T07:38:22.8185739Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8185826Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8186260Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8186360Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8186700Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8186814Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8187160Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8187304Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8187637Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8187861Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8188232Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:38:22.8188309Z query, key, value = [ 2025-09-07T07:38:22.8188704Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:38:22.8188845Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:38:22.8188850Z 2025-09-07T07:38:22.8188988Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8189276Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8189354Z return mod(*inputs) 2025-09-07T07:38:22.8189700Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8189788Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8190098Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8190189Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8190530Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8190643Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8190989Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8191132Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8191466Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8191611Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8191983Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.8192160Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.8192520Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:38:22.8192736Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:38:22.8192741Z 2025-09-07T07:38:22.8192880Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8193165Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8193241Z return mod(*inputs) 2025-09-07T07:38:22.8193588Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8193673Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8193985Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8194082Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8194421Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8194534Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8194973Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8195126Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8195462Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8195606Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8195979Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.8196155Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.8196580Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:38:22.8196804Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:38:22.8196809Z 2025-09-07T07:38:22.8196953Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8197240Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8197316Z return mod(*inputs) 2025-09-07T07:38:22.8197661Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8197747Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8198058Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8198148Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8198491Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8198609Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8198955Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8199104Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8199439Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8199583Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8199955Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.8200132Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.8200488Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:38:22.8200700Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:38:22.8200709Z 2025-09-07T07:38:22.8200847Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8201132Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8201213Z return mod(*inputs) 2025-09-07T07:38:22.8201559Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8201643Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8201954Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8202045Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8202384Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8202496Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8202848Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8202990Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8203428Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8203580Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8203953Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:38:22.8204032Z query, key, value = [ 2025-09-07T07:38:22.8204419Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:38:22.8204562Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:38:22.8204567Z 2025-09-07T07:38:22.8204706Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8205045Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8205124Z return mod(*inputs) 2025-09-07T07:38:22.8205474Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8205561Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8205872Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8205962Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8206300Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8206414Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8206764Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8206906Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8207245Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8207389Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8207763Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.8207941Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.8208297Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:38:22.8208404Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:38:22.8208412Z 2025-09-07T07:38:22.8208547Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8208835Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8208912Z return mod(*inputs) 2025-09-07T07:38:22.8209259Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8209351Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8209659Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8209751Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8210091Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8210203Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8210551Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8210691Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8211025Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8211171Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8211547Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:38:22.8211724Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:38:22.8212155Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:38:22.8212269Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:38:22.8212277Z 2025-09-07T07:38:22.8212413Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8212698Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8212773Z return mod(*inputs) 2025-09-07T07:38:22.8213120Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8213207Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8213513Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8213668Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8214007Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8214126Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8214483Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8214627Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8214971Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8215118Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8215502Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T07:38:22.8215696Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T07:38:22.8215704Z 2025-09-07T07:38:22.8215843Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8216148Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8216229Z return mod(*inputs) 2025-09-07T07:38:22.8216588Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8216682Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8216998Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8217095Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8217442Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:38:22.8217556Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:38:22.8217919Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8218065Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8218418Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:38:22.8218564Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:38:22.8218950Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-09-07T07:38:22.8219046Z return self.output_linear(x) 2025-09-07T07:38:22.8219050Z 2025-09-07T07:38:22.8219188Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8219493Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8219572Z return mod(*inputs) 2025-09-07T07:38:22.8219935Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8220031Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8220348Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8220445Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8220934Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.8221066Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.8221434Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8221579Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8221963Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:38:22.8222122Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:38:22.8222199Z 2025-09-07T07:38:22.8222346Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8222642Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8222722Z return mod(*inputs) 2025-09-07T07:38:22.8223082Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8223169Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8223489Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8223580Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8223926Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.8224039Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.8224385Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8224533Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8224895Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:38:22.8225055Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:38:22.8225060Z 2025-09-07T07:38:22.8225195Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8225479Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8225557Z return mod(*inputs) 2025-09-07T07:38:22.8225903Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8225990Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8226297Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8226390Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8226729Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.8226841Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.8227193Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8227333Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8227700Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:38:22.8227853Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:38:22.8227858Z 2025-09-07T07:38:22.8227994Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8228284Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8228360Z return mod(*inputs) 2025-09-07T07:38:22.8228715Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:38:22.8228801Z x = self.bert(x, segment_label) 2025-09-07T07:38:22.8229108Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:38:22.8229297Z x = transformer.forward(x, mask) 2025-09-07T07:38:22.8229640Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:38:22.8229755Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:38:22.8230100Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:38:22.8230244Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:38:22.8230249Z 2025-09-07T07:38:22.8230385Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8230671Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8230824Z return mod(*inputs) 2025-09-07T07:38:22.8231170Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 25, in forward 2025-09-07T07:38:22.8231290Z return self.next_sentence(x), self.mask_lm(x) 2025-09-07T07:38:22.8231636Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 42, in forward 2025-09-07T07:38:22.8231739Z return self.softmax(self.linear(x[:, 0])) 2025-09-07T07:38:22.8231744Z 2025-09-07T07:38:22.8231880Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:22.8232164Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:22.8232245Z return mod(*inputs) 2025-09-07T07:38:22.8232593Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 25, in forward 2025-09-07T07:38:22.8232706Z return self.next_sentence(x), self.mask_lm(x) 2025-09-07T07:38:22.8233059Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 61, in forward 2025-09-07T07:38:22.8233154Z return self.softmax(self.linear(x)) 2025-09-07T07:38:22.8233158Z 2025-09-07T07:38:30.1164695Z pass 2025-09-07T07:38:30.1166101Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:38:31.7179307Z /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. 2025-09-07T07:38:31.7180478Z import pynvml # type: ignore[import] 2025-09-07T07:38:34.3158976Z 2025-09-07T07:38:36.4642025Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:38:36.4642335Z loading model: 0it [00:02, ?it/s] 2025-09-07T07:38:36.4707495Z cpu eval Background_Matting 2025-09-07T07:38:36.5009398Z pass_due_to_skip 2025-09-07T07:38:36.5010308Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:38:37.6383745Z /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. 2025-09-07T07:38:37.6385016Z import pynvml # type: ignore[import] 2025-09-07T07:38:40.2251419Z 2025-09-07T07:38:42.5460662Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:38:42.5460951Z loading model: 0it [00:02, ?it/s] 2025-09-07T07:38:42.5495685Z cpu eval LearningToPaint 2025-09-07T07:38:42.6658983Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:38:42.6988667Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:38:42.7294907Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:38:46.7736942Z cudagraph partition due to non gpu ops 2025-09-07T07:38:46.7737666Z cudagraph partition due to non gpu ops 2025-09-07T07:38:46.7737971Z cudagraph partition due to non gpu ops 2025-09-07T07:38:46.7738247Z cudagraph partition due to non gpu ops 2025-09-07T07:38:46.7738530Z cudagraph partition due to non gpu ops 2025-09-07T07:38:46.7738807Z cudagraph partition due to non gpu ops 2025-09-07T07:38:46.7739082Z cudagraph partition due to non gpu ops 2025-09-07T07:38:46.7739356Z cudagraph partition due to non gpu ops 2025-09-07T07:38:46.7739625Z cudagraph partition due to non gpu ops 2025-09-07T07:38:46.7739905Z cudagraph partition due to non gpu ops 2025-09-07T07:38:46.7740180Z cudagraph partition due to non gpu ops 2025-09-07T07:38:46.7740455Z cudagraph partition due to non gpu ops 2025-09-07T07:38:46.7740916Z cudagraph partition due to non gpu ops 2025-09-07T07:38:46.7741194Z cudagraph partition due to non gpu ops 2025-09-07T07:38:46.7741481Z cudagraph partition due to non gpu ops 2025-09-07T07:38:46.7741756Z cudagraph partition due to non gpu ops 2025-09-07T07:38:46.7742030Z cudagraph partition due to non gpu ops 2025-09-07T07:38:46.7742307Z cudagraph partition due to non gpu ops 2025-09-07T07:38:46.7742631Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:46.7743167Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:46.7743639Z return mod(*inputs) 2025-09-07T07:38:46.7744098Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 128, in forward 2025-09-07T07:38:46.7744616Z x = F.relu(self.bn1(self.conv1(x))) 2025-09-07T07:38:46.7744806Z 2025-09-07T07:38:46.7744947Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:46.7745469Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:46.7745937Z return mod(*inputs) 2025-09-07T07:38:46.7746392Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 128, in forward 2025-09-07T07:38:46.7746906Z x = F.relu(self.bn1(self.conv1(x))) 2025-09-07T07:38:46.7747096Z 2025-09-07T07:38:46.7747285Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:46.7747810Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:46.7748271Z return mod(*inputs) 2025-09-07T07:38:46.7748731Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-09-07T07:38:46.7749225Z x = self.layer1(x) 2025-09-07T07:38:46.7749673Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T07:38:46.7750183Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T07:38:46.7750379Z 2025-09-07T07:38:46.7750515Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:46.7751036Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:46.7751488Z return mod(*inputs) 2025-09-07T07:38:46.7751944Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-09-07T07:38:46.7752436Z x = self.layer1(x) 2025-09-07T07:38:46.7752882Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T07:38:46.7753389Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T07:38:46.7753578Z 2025-09-07T07:38:46.7753713Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:46.7754235Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:46.7754694Z return mod(*inputs) 2025-09-07T07:38:46.7755148Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-09-07T07:38:46.7755642Z x = self.layer1(x) 2025-09-07T07:38:46.7756092Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward 2025-09-07T07:38:46.7756602Z out = self.bn2(self.conv2(out)) 2025-09-07T07:38:46.7756910Z 2025-09-07T07:38:46.7757062Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:46.7757580Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:46.7758034Z return mod(*inputs) 2025-09-07T07:38:46.7758484Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-09-07T07:38:46.7758974Z x = self.layer1(x) 2025-09-07T07:38:46.7759420Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward 2025-09-07T07:38:46.7759913Z out += self.shortcut(x) 2025-09-07T07:38:46.7760064Z 2025-09-07T07:38:46.7760282Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:46.7760800Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:46.7761257Z return mod(*inputs) 2025-09-07T07:38:46.7761712Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-09-07T07:38:46.7762200Z x = self.layer1(x) 2025-09-07T07:38:46.7762648Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T07:38:46.7763156Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T07:38:46.7763344Z 2025-09-07T07:38:46.7763484Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:46.7764097Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:46.7764559Z return mod(*inputs) 2025-09-07T07:38:46.7765012Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-09-07T07:38:46.7765510Z x = self.layer1(x) 2025-09-07T07:38:46.7765953Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T07:38:46.7766457Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T07:38:46.7766648Z 2025-09-07T07:38:46.7766788Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:46.7767301Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:46.7767761Z return mod(*inputs) 2025-09-07T07:38:46.7768207Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-09-07T07:38:46.7768698Z x = self.layer1(x) 2025-09-07T07:38:46.7769144Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward 2025-09-07T07:38:46.7769640Z out = self.bn2(self.conv2(out)) 2025-09-07T07:38:46.7769810Z 2025-09-07T07:38:46.7769949Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:46.7770466Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:46.7770925Z return mod(*inputs) 2025-09-07T07:38:46.7771381Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-09-07T07:38:46.7771873Z x = self.layer1(x) 2025-09-07T07:38:46.7772316Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward 2025-09-07T07:38:46.7772797Z out = F.relu(out) 2025-09-07T07:38:46.7772926Z 2025-09-07T07:38:46.7773060Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:46.7773581Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:46.7774036Z return mod(*inputs) 2025-09-07T07:38:46.7774482Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-09-07T07:38:46.7774980Z x = self.layer2(x) 2025-09-07T07:38:46.7775430Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T07:38:46.7775936Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T07:38:46.7776120Z 2025-09-07T07:38:46.7776467Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:46.7776995Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:46.7777456Z return mod(*inputs) 2025-09-07T07:38:46.7777907Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-09-07T07:38:46.7778398Z x = self.layer2(x) 2025-09-07T07:38:46.7778839Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T07:38:46.7779347Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T07:38:46.7779532Z 2025-09-07T07:38:46.7779670Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:46.7780320Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:46.7780773Z return mod(*inputs) 2025-09-07T07:38:46.7781225Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-09-07T07:38:46.7781721Z x = self.layer2(x) 2025-09-07T07:38:46.7782168Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward 2025-09-07T07:38:46.7782665Z out = self.bn2(self.conv2(out)) 2025-09-07T07:38:46.7782840Z 2025-09-07T07:38:46.7782975Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:46.7783489Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:46.7783944Z return mod(*inputs) 2025-09-07T07:38:46.7784392Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-09-07T07:38:46.7784880Z x = self.layer2(x) 2025-09-07T07:38:46.7785330Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward 2025-09-07T07:38:46.7785823Z out += self.shortcut(x) 2025-09-07T07:38:46.7785969Z 2025-09-07T07:38:46.7786110Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:46.7786629Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:46.7787085Z return mod(*inputs) 2025-09-07T07:38:46.7787534Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-09-07T07:38:46.7788027Z x = self.layer2(x) 2025-09-07T07:38:46.7788471Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T07:38:46.7788976Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T07:38:46.7789167Z 2025-09-07T07:38:46.7789304Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:46.7789821Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:46.7790285Z return mod(*inputs) 2025-09-07T07:38:46.7790731Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-09-07T07:38:46.7791225Z x = self.layer2(x) 2025-09-07T07:38:46.7791677Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T07:38:46.7792187Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T07:38:46.7792374Z 2025-09-07T07:38:46.7792511Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:46.7793020Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:46.7793479Z return mod(*inputs) 2025-09-07T07:38:46.7793928Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-09-07T07:38:46.7794417Z x = self.layer2(x) 2025-09-07T07:38:46.7794863Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward 2025-09-07T07:38:46.7795362Z out = self.bn2(self.conv2(out)) 2025-09-07T07:38:46.7795536Z 2025-09-07T07:38:46.7795671Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:46.7796318Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:46.7796797Z return mod(*inputs) 2025-09-07T07:38:46.7797247Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-09-07T07:38:46.7797739Z x = self.layer2(x) 2025-09-07T07:38:46.7798184Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward 2025-09-07T07:38:46.7798670Z out = F.relu(out) 2025-09-07T07:38:46.7798799Z 2025-09-07T07:38:46.7798931Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:46.7799445Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:46.7800010Z return mod(*inputs) 2025-09-07T07:38:46.7800466Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-09-07T07:38:46.7800959Z x = self.layer3(x) 2025-09-07T07:38:46.7801405Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T07:38:46.7801911Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T07:38:46.7802101Z 2025-09-07T07:38:46.7802235Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:46.7802749Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:46.7803202Z return mod(*inputs) 2025-09-07T07:38:46.7803653Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-09-07T07:38:46.7804142Z x = self.layer3(x) 2025-09-07T07:38:46.7804587Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T07:38:46.7805099Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T07:38:46.7805287Z 2025-09-07T07:38:46.7805427Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:46.7805937Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:46.7806398Z return mod(*inputs) 2025-09-07T07:38:46.7806850Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-09-07T07:38:46.7807340Z x = self.layer3(x) 2025-09-07T07:38:46.7807779Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward 2025-09-07T07:38:46.7808277Z out = self.bn2(self.conv2(out)) 2025-09-07T07:38:46.7808451Z 2025-09-07T07:38:46.7808638Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:46.7809152Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:46.7809616Z return mod(*inputs) 2025-09-07T07:38:46.7810066Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-09-07T07:38:46.7810551Z x = self.layer3(x) 2025-09-07T07:38:46.7811004Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward 2025-09-07T07:38:46.7811499Z out += self.shortcut(x) 2025-09-07T07:38:46.7811647Z 2025-09-07T07:38:46.7811785Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:46.7812297Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:46.7812757Z return mod(*inputs) 2025-09-07T07:38:46.7813209Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-09-07T07:38:46.7813698Z x = self.layer3(x) 2025-09-07T07:38:46.7814143Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T07:38:46.7814654Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T07:38:46.7814843Z 2025-09-07T07:38:46.7814978Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:46.7815619Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:46.7816092Z return mod(*inputs) 2025-09-07T07:38:46.7816539Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-09-07T07:38:46.7817028Z x = self.layer3(x) 2025-09-07T07:38:46.7817470Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T07:38:46.7817976Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T07:38:46.7818162Z 2025-09-07T07:38:46.7818300Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:46.7818810Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:46.7819381Z return mod(*inputs) 2025-09-07T07:38:46.7819835Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-09-07T07:38:46.7820327Z x = self.layer3(x) 2025-09-07T07:38:46.7820772Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward 2025-09-07T07:38:46.7821269Z out = self.bn2(self.conv2(out)) 2025-09-07T07:38:46.7821443Z 2025-09-07T07:38:46.7821578Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:46.7822097Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:46.7822555Z return mod(*inputs) 2025-09-07T07:38:46.7823006Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-09-07T07:38:46.7823498Z x = self.layer3(x) 2025-09-07T07:38:46.7823942Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward 2025-09-07T07:38:46.7824431Z out = F.relu(out) 2025-09-07T07:38:46.7824557Z 2025-09-07T07:38:46.7824691Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:46.7825206Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:46.7825670Z return mod(*inputs) 2025-09-07T07:38:46.7826126Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-09-07T07:38:46.7826618Z x = self.layer4(x) 2025-09-07T07:38:46.7827065Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T07:38:46.7827572Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T07:38:46.7827764Z 2025-09-07T07:38:46.7827900Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:46.7828413Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:46.7828869Z return mod(*inputs) 2025-09-07T07:38:46.7829327Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-09-07T07:38:46.7829816Z x = self.layer4(x) 2025-09-07T07:38:46.7830261Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T07:38:46.7830771Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T07:38:46.7830960Z 2025-09-07T07:38:46.7831095Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:46.7831615Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:46.7832074Z return mod(*inputs) 2025-09-07T07:38:46.7832526Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-09-07T07:38:46.7833015Z x = self.layer4(x) 2025-09-07T07:38:46.7833464Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward 2025-09-07T07:38:46.7833968Z out = self.bn2(self.conv2(out)) 2025-09-07T07:38:46.7834147Z 2025-09-07T07:38:46.7834287Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:46.7834799Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:46.7835254Z return mod(*inputs) 2025-09-07T07:38:46.7835832Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-09-07T07:38:46.7836336Z x = self.layer4(x) 2025-09-07T07:38:46.7836784Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward 2025-09-07T07:38:46.7837273Z out += self.shortcut(x) 2025-09-07T07:38:46.7837424Z 2025-09-07T07:38:46.7837560Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:46.7838073Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:46.7838531Z return mod(*inputs) 2025-09-07T07:38:46.7838982Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-09-07T07:38:46.7839556Z x = self.layer4(x) 2025-09-07T07:38:46.7840003Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T07:38:46.7840515Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T07:38:46.7840702Z 2025-09-07T07:38:46.7840841Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:46.7841349Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:46.7841807Z return mod(*inputs) 2025-09-07T07:38:46.7842257Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-09-07T07:38:46.7842745Z x = self.layer4(x) 2025-09-07T07:38:46.7843188Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T07:38:46.7843688Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T07:38:46.7843884Z 2025-09-07T07:38:46.7844018Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:46.7844531Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:46.7844988Z return mod(*inputs) 2025-09-07T07:38:46.7845440Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-09-07T07:38:46.7845933Z x = self.layer4(x) 2025-09-07T07:38:46.7846376Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward 2025-09-07T07:38:46.7846873Z out = self.bn2(self.conv2(out)) 2025-09-07T07:38:46.7847043Z 2025-09-07T07:38:46.7847182Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:46.7847694Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:46.7848153Z return mod(*inputs) 2025-09-07T07:38:46.7848605Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-09-07T07:38:46.7849102Z x = self.layer4(x) 2025-09-07T07:38:46.7849546Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward 2025-09-07T07:38:46.7850034Z out = F.relu(out) 2025-09-07T07:38:46.7850170Z 2025-09-07T07:38:46.7850305Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:46.7850821Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:46.7851280Z return mod(*inputs) 2025-09-07T07:38:46.7851731Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 133, in forward 2025-09-07T07:38:46.7852232Z x = F.avg_pool2d(x, 4) 2025-09-07T07:38:46.7852376Z 2025-09-07T07:38:46.7852514Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:46.7853032Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:46.7853489Z return mod(*inputs) 2025-09-07T07:38:46.7853944Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 135, in forward 2025-09-07T07:38:46.7854434Z x = self.fc(x) 2025-09-07T07:38:46.7854552Z 2025-09-07T07:38:46.7854819Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:38:46.7855343Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:38:46.7855796Z return mod(*inputs) 2025-09-07T07:38:46.7856246Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 136, in forward 2025-09-07T07:38:46.7856738Z x = torch.sigmoid(x) 2025-09-07T07:38:46.7856878Z 2025-09-07T07:38:51.5057057Z pass 2025-09-07T07:38:51.5058265Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:38:53.0188604Z /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. 2025-09-07T07:38:53.0190158Z import pynvml # type: ignore[import] 2025-09-07T07:38:55.5836760Z 2025-09-07T07:38:56.8122876Z loading model: 0it [00:00, ?it/s]WARNING:common:Model Super_SloMo does not support bfloat16, running with amp instead 2025-09-07T07:38:57.6996178Z 2025-09-07T07:38:57.6996468Z loading model: 0it [00:02, ?it/s] 2025-09-07T07:38:57.6998704Z WARNING:common:Model Super_SloMo does not support bfloat16, running with amp instead 2025-09-07T07:38:57.6999146Z cpu eval Super_SloMo 2025-09-07T07:39:19.1064364Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:39:19.1064993Z WARNING:common:Model Super_SloMo does not support bfloat16, running with amp instead 2025-09-07T07:39:20.7098717Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:39:22.3110527Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:39:39.9329061Z cudagraph partition due to non gpu ops 2025-09-07T07:39:39.9329422Z cudagraph partition due to non gpu ops 2025-09-07T07:39:39.9329750Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9330294Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9330767Z return mod(*inputs) 2025-09-07T07:39:39.9331180Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9331677Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9332163Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward 2025-09-07T07:39:39.9332656Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9332891Z 2025-09-07T07:39:39.9333035Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9333558Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9334011Z return mod(*inputs) 2025-09-07T07:39:39.9334429Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9334924Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9335406Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward 2025-09-07T07:39:39.9335891Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9336113Z 2025-09-07T07:39:39.9336250Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9336774Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9337236Z return mod(*inputs) 2025-09-07T07:39:39.9337646Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9338144Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9338628Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward 2025-09-07T07:39:39.9339513Z s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9339757Z 2025-09-07T07:39:39.9340017Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9340558Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9341018Z return mod(*inputs) 2025-09-07T07:39:39.9341420Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9341914Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9342392Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward 2025-09-07T07:39:39.9342880Z s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9343312Z 2025-09-07T07:39:39.9343453Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9343975Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9344433Z return mod(*inputs) 2025-09-07T07:39:39.9344836Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9345326Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9345807Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward 2025-09-07T07:39:39.9346245Z s2 = self.down1(s1) 2025-09-07T07:39:39.9346635Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T07:39:39.9347122Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9347343Z 2025-09-07T07:39:39.9347480Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9348002Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9348461Z return mod(*inputs) 2025-09-07T07:39:39.9348859Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9349358Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9349836Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward 2025-09-07T07:39:39.9350271Z s2 = self.down1(s1) 2025-09-07T07:39:39.9350661Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T07:39:39.9351144Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9351365Z 2025-09-07T07:39:39.9351501Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9352020Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9352487Z return mod(*inputs) 2025-09-07T07:39:39.9352891Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9353384Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9353871Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward 2025-09-07T07:39:39.9354311Z s2 = self.down1(s1) 2025-09-07T07:39:39.9354700Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T07:39:39.9355180Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9355402Z 2025-09-07T07:39:39.9355537Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9356051Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9356508Z return mod(*inputs) 2025-09-07T07:39:39.9356910Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9357405Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9357885Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward 2025-09-07T07:39:39.9358324Z s2 = self.down1(s1) 2025-09-07T07:39:39.9358855Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T07:39:39.9359350Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9359568Z 2025-09-07T07:39:39.9359705Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9360223Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9360678Z return mod(*inputs) 2025-09-07T07:39:39.9361077Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9361571Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9362051Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward 2025-09-07T07:39:39.9362574Z s3 = self.down2(s2) 2025-09-07T07:39:39.9362961Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T07:39:39.9363446Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9363669Z 2025-09-07T07:39:39.9363807Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9364395Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9364856Z return mod(*inputs) 2025-09-07T07:39:39.9365255Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9365746Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9366230Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward 2025-09-07T07:39:39.9366665Z s3 = self.down2(s2) 2025-09-07T07:39:39.9367060Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T07:39:39.9367537Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9367759Z 2025-09-07T07:39:39.9367894Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9368412Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9368874Z return mod(*inputs) 2025-09-07T07:39:39.9369272Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9369761Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9370244Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward 2025-09-07T07:39:39.9370681Z s3 = self.down2(s2) 2025-09-07T07:39:39.9371076Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T07:39:39.9371552Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9371779Z 2025-09-07T07:39:39.9371915Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9372435Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9372897Z return mod(*inputs) 2025-09-07T07:39:39.9373293Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9373786Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9374265Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward 2025-09-07T07:39:39.9374702Z s3 = self.down2(s2) 2025-09-07T07:39:39.9375094Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T07:39:39.9375573Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9375792Z 2025-09-07T07:39:39.9375930Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9376461Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9376918Z return mod(*inputs) 2025-09-07T07:39:39.9377315Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9378007Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9378506Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward 2025-09-07T07:39:39.9378947Z s4 = self.down3(s3) 2025-09-07T07:39:39.9379336Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T07:39:39.9379815Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9380041Z 2025-09-07T07:39:39.9380178Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9380693Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9381285Z return mod(*inputs) 2025-09-07T07:39:39.9381685Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9382178Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9382666Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward 2025-09-07T07:39:39.9383100Z s4 = self.down3(s3) 2025-09-07T07:39:39.9383491Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T07:39:39.9383974Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9384195Z 2025-09-07T07:39:39.9384331Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9384850Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9385307Z return mod(*inputs) 2025-09-07T07:39:39.9385706Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9386203Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9386684Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward 2025-09-07T07:39:39.9387120Z s4 = self.down3(s3) 2025-09-07T07:39:39.9387509Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T07:39:39.9387992Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9388212Z 2025-09-07T07:39:39.9388348Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9388865Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9389323Z return mod(*inputs) 2025-09-07T07:39:39.9389721Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9390209Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9390691Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward 2025-09-07T07:39:39.9391129Z s4 = self.down3(s3) 2025-09-07T07:39:39.9391515Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T07:39:39.9391999Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9392222Z 2025-09-07T07:39:39.9392356Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9392872Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9393335Z return mod(*inputs) 2025-09-07T07:39:39.9393734Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9394224Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9394705Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward 2025-09-07T07:39:39.9395144Z s5 = self.down4(s4) 2025-09-07T07:39:39.9395541Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T07:39:39.9396020Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9396240Z 2025-09-07T07:39:39.9396379Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9397026Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9397497Z return mod(*inputs) 2025-09-07T07:39:39.9397896Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9398386Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9398870Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward 2025-09-07T07:39:39.9399307Z s5 = self.down4(s4) 2025-09-07T07:39:39.9399694Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T07:39:39.9400171Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9400507Z 2025-09-07T07:39:39.9400644Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9401163Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9401627Z return mod(*inputs) 2025-09-07T07:39:39.9402021Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9402513Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9402993Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward 2025-09-07T07:39:39.9403428Z s5 = self.down4(s4) 2025-09-07T07:39:39.9403817Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T07:39:39.9404292Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9404513Z 2025-09-07T07:39:39.9404649Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9405175Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9405631Z return mod(*inputs) 2025-09-07T07:39:39.9406026Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9406517Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9406996Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward 2025-09-07T07:39:39.9407435Z s5 = self.down4(s4) 2025-09-07T07:39:39.9407822Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T07:39:39.9408300Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9408520Z 2025-09-07T07:39:39.9408656Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9409174Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9409634Z return mod(*inputs) 2025-09-07T07:39:39.9410032Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9410520Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9411001Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward 2025-09-07T07:39:39.9411434Z x = self.down5(s5) 2025-09-07T07:39:39.9411817Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T07:39:39.9412292Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9412510Z 2025-09-07T07:39:39.9412644Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9413160Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9413618Z return mod(*inputs) 2025-09-07T07:39:39.9414017Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9414512Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9414996Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward 2025-09-07T07:39:39.9415430Z x = self.down5(s5) 2025-09-07T07:39:39.9415951Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T07:39:39.9416441Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9416662Z 2025-09-07T07:39:39.9416799Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9417316Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9417775Z return mod(*inputs) 2025-09-07T07:39:39.9418174Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9418663Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9419144Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward 2025-09-07T07:39:39.9419664Z x = self.down5(s5) 2025-09-07T07:39:39.9420055Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T07:39:39.9420530Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9420755Z 2025-09-07T07:39:39.9420893Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9421407Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9421863Z return mod(*inputs) 2025-09-07T07:39:39.9422262Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9422752Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9423233Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward 2025-09-07T07:39:39.9423662Z x = self.down5(s5) 2025-09-07T07:39:39.9424053Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T07:39:39.9424527Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9424746Z 2025-09-07T07:39:39.9424881Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9425400Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9425858Z return mod(*inputs) 2025-09-07T07:39:39.9426254Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9426742Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9427223Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward 2025-09-07T07:39:39.9427661Z x = self.up1(x, s5) 2025-09-07T07:39:39.9428052Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T07:39:39.9428530Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9428754Z 2025-09-07T07:39:39.9428889Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9429405Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9429860Z return mod(*inputs) 2025-09-07T07:39:39.9430260Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9430749Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9431225Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward 2025-09-07T07:39:39.9431656Z x = self.up1(x, s5) 2025-09-07T07:39:39.9432043Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T07:39:39.9432519Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9432738Z 2025-09-07T07:39:39.9432873Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9433395Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9433852Z return mod(*inputs) 2025-09-07T07:39:39.9434249Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9434904Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9435398Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward 2025-09-07T07:39:39.9435831Z x = self.up1(x, s5) 2025-09-07T07:39:39.9436219Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9436764Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9437057Z 2025-09-07T07:39:39.9437194Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9437708Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9438270Z return mod(*inputs) 2025-09-07T07:39:39.9438666Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9439154Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9439632Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward 2025-09-07T07:39:39.9440067Z x = self.up1(x, s5) 2025-09-07T07:39:39.9440454Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9441001Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9441293Z 2025-09-07T07:39:39.9441427Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9441941Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9442395Z return mod(*inputs) 2025-09-07T07:39:39.9442790Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9443284Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9443763Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward 2025-09-07T07:39:39.9444198Z x = self.up2(x, s4) 2025-09-07T07:39:39.9444594Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T07:39:39.9445070Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9445290Z 2025-09-07T07:39:39.9445424Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9445941Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9446394Z return mod(*inputs) 2025-09-07T07:39:39.9446794Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9447287Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9447771Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward 2025-09-07T07:39:39.9448207Z x = self.up2(x, s4) 2025-09-07T07:39:39.9448598Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T07:39:39.9449081Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9449302Z 2025-09-07T07:39:39.9449442Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9449961Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9450420Z return mod(*inputs) 2025-09-07T07:39:39.9450817Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9451308Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9451783Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward 2025-09-07T07:39:39.9452216Z x = self.up2(x, s4) 2025-09-07T07:39:39.9452612Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9453156Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9453446Z 2025-09-07T07:39:39.9453715Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9454244Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9454701Z return mod(*inputs) 2025-09-07T07:39:39.9455098Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9455586Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9456065Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward 2025-09-07T07:39:39.9456499Z x = self.up2(x, s4) 2025-09-07T07:39:39.9456886Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9457509Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9457799Z 2025-09-07T07:39:39.9457936Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9458455Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9458912Z return mod(*inputs) 2025-09-07T07:39:39.9459306Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9459796Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9460273Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward 2025-09-07T07:39:39.9460709Z x = self.up3(x, s3) 2025-09-07T07:39:39.9461097Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T07:39:39.9461571Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9461798Z 2025-09-07T07:39:39.9461932Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9462444Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9462901Z return mod(*inputs) 2025-09-07T07:39:39.9463304Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9463794Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9464372Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward 2025-09-07T07:39:39.9464807Z x = self.up3(x, s3) 2025-09-07T07:39:39.9465197Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T07:39:39.9465675Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9465897Z 2025-09-07T07:39:39.9466034Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9466549Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9467012Z return mod(*inputs) 2025-09-07T07:39:39.9467407Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9467904Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9468386Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward 2025-09-07T07:39:39.9468818Z x = self.up3(x, s3) 2025-09-07T07:39:39.9469209Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9469754Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9470044Z 2025-09-07T07:39:39.9470181Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9470698Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9471155Z return mod(*inputs) 2025-09-07T07:39:39.9471554Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9472043Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9472734Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward 2025-09-07T07:39:39.9473187Z x = self.up3(x, s3) 2025-09-07T07:39:39.9473576Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9474118Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9474404Z 2025-09-07T07:39:39.9474539Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9475051Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9475506Z return mod(*inputs) 2025-09-07T07:39:39.9475903Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9476524Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9477001Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward 2025-09-07T07:39:39.9477436Z x = self.up4(x, s2) 2025-09-07T07:39:39.9477832Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T07:39:39.9478307Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9478525Z 2025-09-07T07:39:39.9478659Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9479173Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9479629Z return mod(*inputs) 2025-09-07T07:39:39.9480023Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9480510Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9480987Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward 2025-09-07T07:39:39.9481428Z x = self.up4(x, s2) 2025-09-07T07:39:39.9481819Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T07:39:39.9482292Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9482512Z 2025-09-07T07:39:39.9482650Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9483163Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9483620Z return mod(*inputs) 2025-09-07T07:39:39.9484015Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9484503Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9484980Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward 2025-09-07T07:39:39.9485415Z x = self.up4(x, s2) 2025-09-07T07:39:39.9485804Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9486351Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9486644Z 2025-09-07T07:39:39.9486780Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9487301Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9487760Z return mod(*inputs) 2025-09-07T07:39:39.9488155Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9488646Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9489125Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward 2025-09-07T07:39:39.9489562Z x = self.up4(x, s2) 2025-09-07T07:39:39.9489952Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9490499Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9490793Z 2025-09-07T07:39:39.9490929Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9491444Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9492027Z return mod(*inputs) 2025-09-07T07:39:39.9492435Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9492925Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9493402Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward 2025-09-07T07:39:39.9493835Z x = self.up5(x, s1) 2025-09-07T07:39:39.9494223Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T07:39:39.9494694Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9494910Z 2025-09-07T07:39:39.9495520Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9496121Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9496580Z return mod(*inputs) 2025-09-07T07:39:39.9496981Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9497467Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9497944Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward 2025-09-07T07:39:39.9498376Z x = self.up5(x, s1) 2025-09-07T07:39:39.9498766Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T07:39:39.9499245Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9499462Z 2025-09-07T07:39:39.9499599Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9500133Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9500592Z return mod(*inputs) 2025-09-07T07:39:39.9500989Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9501474Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9501957Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward 2025-09-07T07:39:39.9502387Z x = self.up5(x, s1) 2025-09-07T07:39:39.9502777Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9503319Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9503608Z 2025-09-07T07:39:39.9503745Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9515668Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9516186Z return mod(*inputs) 2025-09-07T07:39:39.9516602Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9517112Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9517598Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward 2025-09-07T07:39:39.9518043Z x = self.up5(x, s1) 2025-09-07T07:39:39.9518433Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9518983Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9519273Z 2025-09-07T07:39:39.9519410Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9519926Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9520383Z return mod(*inputs) 2025-09-07T07:39:39.9520786Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9521277Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9521759Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 209, in forward 2025-09-07T07:39:39.9522239Z x = F.leaky_relu(self.conv3(x), negative_slope=0.1) 2025-09-07T07:39:39.9522457Z 2025-09-07T07:39:39.9522763Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9523299Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9523750Z return mod(*inputs) 2025-09-07T07:39:39.9524151Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9524643Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9525123Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 209, in forward 2025-09-07T07:39:39.9525604Z x = F.leaky_relu(self.conv3(x), negative_slope=0.1) 2025-09-07T07:39:39.9525820Z 2025-09-07T07:39:39.9525919Z cudagraph partition due to non gpu ops 2025-09-07T07:39:39.9526301Z cudagraph partition due to non gpu ops 2025-09-07T07:39:39.9526617Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9527130Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9527587Z return mod(*inputs) 2025-09-07T07:39:39.9527986Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9528452Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9528902Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward 2025-09-07T07:39:39.9529382Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9529601Z 2025-09-07T07:39:39.9529738Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9530252Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9530708Z return mod(*inputs) 2025-09-07T07:39:39.9531112Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9531572Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9532017Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward 2025-09-07T07:39:39.9532503Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9532721Z 2025-09-07T07:39:39.9532858Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9533367Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9533820Z return mod(*inputs) 2025-09-07T07:39:39.9534217Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9534680Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9535126Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward 2025-09-07T07:39:39.9535616Z s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9535844Z 2025-09-07T07:39:39.9535980Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9536496Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9536956Z return mod(*inputs) 2025-09-07T07:39:39.9537355Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9537819Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9538264Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward 2025-09-07T07:39:39.9538749Z s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9538968Z 2025-09-07T07:39:39.9539104Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9539613Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9540068Z return mod(*inputs) 2025-09-07T07:39:39.9540471Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9540937Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9541496Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward 2025-09-07T07:39:39.9541938Z s2 = self.down1(s1) 2025-09-07T07:39:39.9542326Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T07:39:39.9542805Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9543020Z 2025-09-07T07:39:39.9543156Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9543672Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9544128Z return mod(*inputs) 2025-09-07T07:39:39.9544525Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9545074Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9545518Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward 2025-09-07T07:39:39.9545949Z s2 = self.down1(s1) 2025-09-07T07:39:39.9546344Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T07:39:39.9546827Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9547042Z 2025-09-07T07:39:39.9547182Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9547694Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9548150Z return mod(*inputs) 2025-09-07T07:39:39.9548551Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9549012Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9549451Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward 2025-09-07T07:39:39.9549890Z s2 = self.down1(s1) 2025-09-07T07:39:39.9550277Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T07:39:39.9550752Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9550966Z 2025-09-07T07:39:39.9551109Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9551617Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9552072Z return mod(*inputs) 2025-09-07T07:39:39.9552474Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9552936Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9553376Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward 2025-09-07T07:39:39.9553811Z s2 = self.down1(s1) 2025-09-07T07:39:39.9554197Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T07:39:39.9554681Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9554899Z 2025-09-07T07:39:39.9555038Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9555551Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9556006Z return mod(*inputs) 2025-09-07T07:39:39.9556406Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9556869Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9557315Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward 2025-09-07T07:39:39.9557746Z s3 = self.down2(s2) 2025-09-07T07:39:39.9558129Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T07:39:39.9558606Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9558820Z 2025-09-07T07:39:39.9558958Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9559473Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9559921Z return mod(*inputs) 2025-09-07T07:39:39.9560461Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9560936Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9561378Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward 2025-09-07T07:39:39.9561809Z s3 = self.down2(s2) 2025-09-07T07:39:39.9562193Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T07:39:39.9562670Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9562884Z 2025-09-07T07:39:39.9563023Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9563533Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9564200Z return mod(*inputs) 2025-09-07T07:39:39.9564600Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9565060Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9565502Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward 2025-09-07T07:39:39.9565935Z s3 = self.down2(s2) 2025-09-07T07:39:39.9566323Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T07:39:39.9566803Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9567019Z 2025-09-07T07:39:39.9567156Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9567664Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9568119Z return mod(*inputs) 2025-09-07T07:39:39.9568518Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9568985Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9569425Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward 2025-09-07T07:39:39.9569855Z s3 = self.down2(s2) 2025-09-07T07:39:39.9570245Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T07:39:39.9570721Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9570936Z 2025-09-07T07:39:39.9571070Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9571583Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9572038Z return mod(*inputs) 2025-09-07T07:39:39.9572435Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9572896Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9573337Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward 2025-09-07T07:39:39.9573776Z s4 = self.down3(s3) 2025-09-07T07:39:39.9574163Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T07:39:39.9574640Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9574855Z 2025-09-07T07:39:39.9574994Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9575510Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9575963Z return mod(*inputs) 2025-09-07T07:39:39.9576364Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9576826Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9577270Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward 2025-09-07T07:39:39.9577702Z s4 = self.down3(s3) 2025-09-07T07:39:39.9578090Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T07:39:39.9578574Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9578788Z 2025-09-07T07:39:39.9578923Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9579629Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9580096Z return mod(*inputs) 2025-09-07T07:39:39.9580496Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9580954Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9581395Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward 2025-09-07T07:39:39.9581826Z s4 = self.down3(s3) 2025-09-07T07:39:39.9582211Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T07:39:39.9582689Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9582904Z 2025-09-07T07:39:39.9583165Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9583681Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9584134Z return mod(*inputs) 2025-09-07T07:39:39.9584535Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9584997Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9585440Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward 2025-09-07T07:39:39.9585872Z s4 = self.down3(s3) 2025-09-07T07:39:39.9586260Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T07:39:39.9586737Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9586951Z 2025-09-07T07:39:39.9587086Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9587598Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9588058Z return mod(*inputs) 2025-09-07T07:39:39.9588456Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9588920Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9589366Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward 2025-09-07T07:39:39.9589799Z s5 = self.down4(s4) 2025-09-07T07:39:39.9590185Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T07:39:39.9590662Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9590876Z 2025-09-07T07:39:39.9591009Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9591522Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9591976Z return mod(*inputs) 2025-09-07T07:39:39.9592377Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9592844Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9593286Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward 2025-09-07T07:39:39.9593720Z s5 = self.down4(s4) 2025-09-07T07:39:39.9594114Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T07:39:39.9594592Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9594807Z 2025-09-07T07:39:39.9594941Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9595452Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9595910Z return mod(*inputs) 2025-09-07T07:39:39.9596311Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9596771Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9597210Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward 2025-09-07T07:39:39.9597649Z s5 = self.down4(s4) 2025-09-07T07:39:39.9598038Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T07:39:39.9598518Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9598861Z 2025-09-07T07:39:39.9599009Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9599524Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9599976Z return mod(*inputs) 2025-09-07T07:39:39.9600373Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9600834Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9601277Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward 2025-09-07T07:39:39.9601711Z s5 = self.down4(s4) 2025-09-07T07:39:39.9602100Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T07:39:39.9602668Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9602886Z 2025-09-07T07:39:39.9603020Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9603539Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9603995Z return mod(*inputs) 2025-09-07T07:39:39.9604393Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9604854Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9605296Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward 2025-09-07T07:39:39.9605730Z x = self.down5(s5) 2025-09-07T07:39:39.9606116Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T07:39:39.9606594Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9606815Z 2025-09-07T07:39:39.9606950Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9607463Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9607922Z return mod(*inputs) 2025-09-07T07:39:39.9608326Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9608789Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9609229Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward 2025-09-07T07:39:39.9609659Z x = self.down5(s5) 2025-09-07T07:39:39.9610044Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T07:39:39.9610525Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9610742Z 2025-09-07T07:39:39.9610876Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9611389Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9611851Z return mod(*inputs) 2025-09-07T07:39:39.9612249Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9612706Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9613155Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward 2025-09-07T07:39:39.9613588Z x = self.down5(s5) 2025-09-07T07:39:39.9613975Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T07:39:39.9614452Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9614668Z 2025-09-07T07:39:39.9614803Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9615320Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9615776Z return mod(*inputs) 2025-09-07T07:39:39.9616172Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9616638Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9617083Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward 2025-09-07T07:39:39.9617515Z x = self.down5(s5) 2025-09-07T07:39:39.9618030Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T07:39:39.9618520Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9618738Z 2025-09-07T07:39:39.9618874Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9619387Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9619846Z return mod(*inputs) 2025-09-07T07:39:39.9620244Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9620703Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9621260Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward 2025-09-07T07:39:39.9621696Z x = self.up1(x, s5) 2025-09-07T07:39:39.9622087Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T07:39:39.9622573Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9622787Z 2025-09-07T07:39:39.9622923Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9623436Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9623895Z return mod(*inputs) 2025-09-07T07:39:39.9624295Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9624752Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9625197Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward 2025-09-07T07:39:39.9625630Z x = self.up1(x, s5) 2025-09-07T07:39:39.9626026Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T07:39:39.9626504Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9626719Z 2025-09-07T07:39:39.9626854Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9627372Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9627828Z return mod(*inputs) 2025-09-07T07:39:39.9628224Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9628688Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9629129Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward 2025-09-07T07:39:39.9629564Z x = self.up1(x, s5) 2025-09-07T07:39:39.9629955Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9630502Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9630796Z 2025-09-07T07:39:39.9630930Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9631450Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9631909Z return mod(*inputs) 2025-09-07T07:39:39.9632311Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9632774Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9633224Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward 2025-09-07T07:39:39.9633659Z x = self.up1(x, s5) 2025-09-07T07:39:39.9634047Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9634596Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9634885Z 2025-09-07T07:39:39.9635021Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9635544Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9636002Z return mod(*inputs) 2025-09-07T07:39:39.9636401Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9636987Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9637443Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward 2025-09-07T07:39:39.9637878Z x = self.up2(x, s4) 2025-09-07T07:39:39.9638268Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T07:39:39.9638747Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9638962Z 2025-09-07T07:39:39.9639096Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9639613Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9640161Z return mod(*inputs) 2025-09-07T07:39:39.9640561Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9641024Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9641474Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward 2025-09-07T07:39:39.9641905Z x = self.up2(x, s4) 2025-09-07T07:39:39.9642292Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T07:39:39.9642769Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9642990Z 2025-09-07T07:39:39.9643123Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9643636Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9644092Z return mod(*inputs) 2025-09-07T07:39:39.9644491Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9644954Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9645399Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward 2025-09-07T07:39:39.9645830Z x = self.up2(x, s4) 2025-09-07T07:39:39.9646221Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9646766Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9647057Z 2025-09-07T07:39:39.9647192Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9647708Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9648165Z return mod(*inputs) 2025-09-07T07:39:39.9648568Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9649031Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9649478Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward 2025-09-07T07:39:39.9649915Z x = self.up2(x, s4) 2025-09-07T07:39:39.9650306Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9650847Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9651143Z 2025-09-07T07:39:39.9651278Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9651794Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9652253Z return mod(*inputs) 2025-09-07T07:39:39.9652654Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9653117Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9653565Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward 2025-09-07T07:39:39.9653998Z x = self.up3(x, s3) 2025-09-07T07:39:39.9654389Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T07:39:39.9654870Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9655092Z 2025-09-07T07:39:39.9655225Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9655872Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9656344Z return mod(*inputs) 2025-09-07T07:39:39.9656741Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9657199Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9657642Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward 2025-09-07T07:39:39.9658071Z x = self.up3(x, s3) 2025-09-07T07:39:39.9658458Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T07:39:39.9658930Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9659221Z 2025-09-07T07:39:39.9659354Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9659866Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9660322Z return mod(*inputs) 2025-09-07T07:39:39.9660723Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9661183Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9661630Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward 2025-09-07T07:39:39.9662062Z x = self.up3(x, s3) 2025-09-07T07:39:39.9662452Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9662997Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9663286Z 2025-09-07T07:39:39.9663423Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9664030Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9664494Z return mod(*inputs) 2025-09-07T07:39:39.9664890Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9665353Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9665799Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward 2025-09-07T07:39:39.9666231Z x = self.up3(x, s3) 2025-09-07T07:39:39.9666619Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9667164Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9667456Z 2025-09-07T07:39:39.9667593Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9668103Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9668557Z return mod(*inputs) 2025-09-07T07:39:39.9668969Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9669435Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9669879Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward 2025-09-07T07:39:39.9670320Z x = self.up4(x, s2) 2025-09-07T07:39:39.9670712Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T07:39:39.9671194Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9671413Z 2025-09-07T07:39:39.9671547Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9672059Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9672510Z return mod(*inputs) 2025-09-07T07:39:39.9672907Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9673370Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9673820Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward 2025-09-07T07:39:39.9674251Z x = self.up4(x, s2) 2025-09-07T07:39:39.9674637Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T07:39:39.9675299Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9675529Z 2025-09-07T07:39:39.9675669Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9676181Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9676633Z return mod(*inputs) 2025-09-07T07:39:39.9677033Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9677495Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9677938Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward 2025-09-07T07:39:39.9678481Z x = self.up4(x, s2) 2025-09-07T07:39:39.9678867Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9679415Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9679702Z 2025-09-07T07:39:39.9679844Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9680356Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9680806Z return mod(*inputs) 2025-09-07T07:39:39.9681202Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9681666Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9682112Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward 2025-09-07T07:39:39.9682543Z x = self.up4(x, s2) 2025-09-07T07:39:39.9682931Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9683480Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9683765Z 2025-09-07T07:39:39.9683903Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9684418Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9684867Z return mod(*inputs) 2025-09-07T07:39:39.9685265Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9685727Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9686171Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward 2025-09-07T07:39:39.9686605Z x = self.up5(x, s1) 2025-09-07T07:39:39.9686994Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T07:39:39.9687476Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9687691Z 2025-09-07T07:39:39.9687835Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9688351Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9688807Z return mod(*inputs) 2025-09-07T07:39:39.9689210Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9689677Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9690124Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward 2025-09-07T07:39:39.9690561Z x = self.up5(x, s1) 2025-09-07T07:39:39.9690952Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T07:39:39.9691437Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9691653Z 2025-09-07T07:39:39.9691790Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9692301Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9692760Z return mod(*inputs) 2025-09-07T07:39:39.9693160Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9693622Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9694193Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward 2025-09-07T07:39:39.9694633Z x = self.up5(x, s1) 2025-09-07T07:39:39.9695026Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9695573Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9695858Z 2025-09-07T07:39:39.9695994Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9696506Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9696958Z return mod(*inputs) 2025-09-07T07:39:39.9697359Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9697964Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9698407Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward 2025-09-07T07:39:39.9698834Z x = self.up5(x, s1) 2025-09-07T07:39:39.9699225Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9699772Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9700058Z 2025-09-07T07:39:39.9700196Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9700709Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9701162Z return mod(*inputs) 2025-09-07T07:39:39.9701563Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9702024Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9702472Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 209, in forward 2025-09-07T07:39:39.9702950Z x = F.leaky_relu(self.conv3(x), negative_slope=0.1) 2025-09-07T07:39:39.9703167Z 2025-09-07T07:39:39.9703301Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9703817Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9704270Z return mod(*inputs) 2025-09-07T07:39:39.9704666Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9705130Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9705572Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 209, in forward 2025-09-07T07:39:39.9706051Z x = F.leaky_relu(self.conv3(x), negative_slope=0.1) 2025-09-07T07:39:39.9706267Z 2025-09-07T07:39:39.9706403Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9706918Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9707371Z return mod(*inputs) 2025-09-07T07:39:39.9707771Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9708269Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9708489Z 2025-09-07T07:39:39.9708625Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9709138Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9709593Z return mod(*inputs) 2025-09-07T07:39:39.9709990Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9710477Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9710954Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward 2025-09-07T07:39:39.9711432Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9711659Z 2025-09-07T07:39:39.9711795Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9712306Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9712885Z return mod(*inputs) 2025-09-07T07:39:39.9713297Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9713787Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9714266Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward 2025-09-07T07:39:39.9714745Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9714960Z 2025-09-07T07:39:39.9715096Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9715604Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9716056Z return mod(*inputs) 2025-09-07T07:39:39.9716545Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9717033Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9717509Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward 2025-09-07T07:39:39.9717991Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9718213Z 2025-09-07T07:39:39.9718349Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9718863Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9719314Z return mod(*inputs) 2025-09-07T07:39:39.9719708Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9720196Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9720674Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward 2025-09-07T07:39:39.9721161Z s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9721380Z 2025-09-07T07:39:39.9721514Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9722030Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9722489Z return mod(*inputs) 2025-09-07T07:39:39.9722889Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9723375Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9723848Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward 2025-09-07T07:39:39.9724280Z s2 = self.down1(s1) 2025-09-07T07:39:39.9724669Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward 2025-09-07T07:39:39.9725105Z x = F.avg_pool2d(x, 2) 2025-09-07T07:39:39.9725251Z 2025-09-07T07:39:39.9725385Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9725903Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9726359Z return mod(*inputs) 2025-09-07T07:39:39.9726760Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9727250Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9727721Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward 2025-09-07T07:39:39.9728156Z s2 = self.down1(s1) 2025-09-07T07:39:39.9728544Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T07:39:39.9729022Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9729236Z 2025-09-07T07:39:39.9729372Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9729889Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9730348Z return mod(*inputs) 2025-09-07T07:39:39.9730748Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9731235Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9731834Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward 2025-09-07T07:39:39.9732280Z s2 = self.down1(s1) 2025-09-07T07:39:39.9732666Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T07:39:39.9733144Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9733361Z 2025-09-07T07:39:39.9733495Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9734009Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9734465Z return mod(*inputs) 2025-09-07T07:39:39.9734864Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9735437Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9735910Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward 2025-09-07T07:39:39.9736345Z s2 = self.down1(s1) 2025-09-07T07:39:39.9736735Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T07:39:39.9737212Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9737427Z 2025-09-07T07:39:39.9737562Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9738074Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9738528Z return mod(*inputs) 2025-09-07T07:39:39.9738925Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9739414Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9739890Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward 2025-09-07T07:39:39.9740321Z s3 = self.down2(s2) 2025-09-07T07:39:39.9740704Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward 2025-09-07T07:39:39.9741144Z x = F.avg_pool2d(x, 2) 2025-09-07T07:39:39.9741288Z 2025-09-07T07:39:39.9741421Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9741934Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9742390Z return mod(*inputs) 2025-09-07T07:39:39.9742789Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9743278Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9743752Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward 2025-09-07T07:39:39.9744183Z s3 = self.down2(s2) 2025-09-07T07:39:39.9744574Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T07:39:39.9745052Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9745267Z 2025-09-07T07:39:39.9745402Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9745919Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9746374Z return mod(*inputs) 2025-09-07T07:39:39.9746771Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9747256Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9747730Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward 2025-09-07T07:39:39.9748161Z s3 = self.down2(s2) 2025-09-07T07:39:39.9748547Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T07:39:39.9749027Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9749248Z 2025-09-07T07:39:39.9749385Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9749899Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9750497Z return mod(*inputs) 2025-09-07T07:39:39.9750908Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9751404Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9751879Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward 2025-09-07T07:39:39.9752312Z s3 = self.down2(s2) 2025-09-07T07:39:39.9752698Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T07:39:39.9753175Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9753391Z 2025-09-07T07:39:39.9753526Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9754128Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9754581Z return mod(*inputs) 2025-09-07T07:39:39.9754979Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9755470Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9755947Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward 2025-09-07T07:39:39.9756380Z s4 = self.down3(s3) 2025-09-07T07:39:39.9756767Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward 2025-09-07T07:39:39.9757200Z x = F.avg_pool2d(x, 2) 2025-09-07T07:39:39.9757343Z 2025-09-07T07:39:39.9757478Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9757993Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9758449Z return mod(*inputs) 2025-09-07T07:39:39.9758854Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9759338Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9759819Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward 2025-09-07T07:39:39.9760254Z s4 = self.down3(s3) 2025-09-07T07:39:39.9760641Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T07:39:39.9761119Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9761336Z 2025-09-07T07:39:39.9761471Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9761985Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9762442Z return mod(*inputs) 2025-09-07T07:39:39.9762845Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9763335Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9763813Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward 2025-09-07T07:39:39.9764345Z s4 = self.down3(s3) 2025-09-07T07:39:39.9764740Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T07:39:39.9765220Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9765437Z 2025-09-07T07:39:39.9765572Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9766090Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9766543Z return mod(*inputs) 2025-09-07T07:39:39.9766941Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9767421Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9767898Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward 2025-09-07T07:39:39.9768333Z s4 = self.down3(s3) 2025-09-07T07:39:39.9768722Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T07:39:39.9769202Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9769616Z 2025-09-07T07:39:39.9769761Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9770279Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9770733Z return mod(*inputs) 2025-09-07T07:39:39.9771130Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9771616Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9772092Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward 2025-09-07T07:39:39.9772523Z s5 = self.down4(s4) 2025-09-07T07:39:39.9772911Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward 2025-09-07T07:39:39.9773461Z x = F.avg_pool2d(x, 2) 2025-09-07T07:39:39.9773605Z 2025-09-07T07:39:39.9773741Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9774258Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9774712Z return mod(*inputs) 2025-09-07T07:39:39.9775111Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9775595Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9776071Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward 2025-09-07T07:39:39.9776501Z s5 = self.down4(s4) 2025-09-07T07:39:39.9776889Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T07:39:39.9777364Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9777584Z 2025-09-07T07:39:39.9777718Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9778232Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9778684Z return mod(*inputs) 2025-09-07T07:39:39.9779084Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9779573Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9780052Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward 2025-09-07T07:39:39.9780487Z s5 = self.down4(s4) 2025-09-07T07:39:39.9780876Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T07:39:39.9781356Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9781571Z 2025-09-07T07:39:39.9781706Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9782221Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9782683Z return mod(*inputs) 2025-09-07T07:39:39.9783086Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9783576Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9784058Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward 2025-09-07T07:39:39.9784491Z s5 = self.down4(s4) 2025-09-07T07:39:39.9784880Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T07:39:39.9785361Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9785575Z 2025-09-07T07:39:39.9785711Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9786224Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9786681Z return mod(*inputs) 2025-09-07T07:39:39.9787088Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9787571Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9788051Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward 2025-09-07T07:39:39.9788606Z x = self.down5(s5) 2025-09-07T07:39:39.9789000Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward 2025-09-07T07:39:39.9789433Z x = F.avg_pool2d(x, 2) 2025-09-07T07:39:39.9789577Z 2025-09-07T07:39:39.9789713Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9790227Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9790682Z return mod(*inputs) 2025-09-07T07:39:39.9791081Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9791565Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9792143Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward 2025-09-07T07:39:39.9792575Z x = self.down5(s5) 2025-09-07T07:39:39.9792959Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T07:39:39.9793442Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9793658Z 2025-09-07T07:39:39.9793793Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9794307Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9794761Z return mod(*inputs) 2025-09-07T07:39:39.9795157Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9795642Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9796119Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward 2025-09-07T07:39:39.9796553Z x = self.down5(s5) 2025-09-07T07:39:39.9796937Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T07:39:39.9797415Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9797631Z 2025-09-07T07:39:39.9797770Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9798283Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9798739Z return mod(*inputs) 2025-09-07T07:39:39.9799136Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9799623Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9800104Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward 2025-09-07T07:39:39.9800535Z x = self.down5(s5) 2025-09-07T07:39:39.9800923Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T07:39:39.9801403Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9801623Z 2025-09-07T07:39:39.9801757Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9802277Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9802737Z return mod(*inputs) 2025-09-07T07:39:39.9803138Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9803262Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9803522Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward 2025-09-07T07:39:39.9803602Z x = self.up1(x, s5) 2025-09-07T07:39:39.9803861Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T07:39:39.9803984Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9803989Z 2025-09-07T07:39:39.9804129Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9804414Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9804492Z return mod(*inputs) 2025-09-07T07:39:39.9804875Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9805025Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9805287Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward 2025-09-07T07:39:39.9805365Z x = self.up1(x, s5) 2025-09-07T07:39:39.9805622Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T07:39:39.9805743Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9805748Z 2025-09-07T07:39:39.9805887Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9806173Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9806329Z return mod(*inputs) 2025-09-07T07:39:39.9806596Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9806720Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9806989Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward 2025-09-07T07:39:39.9807063Z s5 = self.down4(s4) 2025-09-07T07:39:39.9807323Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T07:39:39.9807443Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9807447Z 2025-09-07T07:39:39.9807583Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9807870Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9807943Z return mod(*inputs) 2025-09-07T07:39:39.9808212Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9808340Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9808599Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward 2025-09-07T07:39:39.9808677Z x = self.up1(x, s5) 2025-09-07T07:39:39.9808939Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9809134Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9809139Z 2025-09-07T07:39:39.9809236Z cudagraph partition due to non gpu ops 2025-09-07T07:39:39.9809374Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9809659Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9809733Z return mod(*inputs) 2025-09-07T07:39:39.9810003Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9810133Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9810395Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward 2025-09-07T07:39:39.9810469Z x = self.up1(x, s5) 2025-09-07T07:39:39.9810729Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9810924Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9810929Z 2025-09-07T07:39:39.9811062Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9811350Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9811423Z return mod(*inputs) 2025-09-07T07:39:39.9811689Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9811817Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9812081Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward 2025-09-07T07:39:39.9812159Z x = self.up2(x, s4) 2025-09-07T07:39:39.9812416Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T07:39:39.9812631Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9812641Z 2025-09-07T07:39:39.9812788Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9813073Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9813152Z return mod(*inputs) 2025-09-07T07:39:39.9813419Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9813547Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9813805Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward 2025-09-07T07:39:39.9813880Z x = self.up2(x, s4) 2025-09-07T07:39:39.9814214Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T07:39:39.9814335Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9814339Z 2025-09-07T07:39:39.9814477Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9814767Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9814842Z return mod(*inputs) 2025-09-07T07:39:39.9815112Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9815235Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9815496Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward 2025-09-07T07:39:39.9815569Z s4 = self.down3(s3) 2025-09-07T07:39:39.9815825Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T07:39:39.9815954Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9815958Z 2025-09-07T07:39:39.9816093Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9816380Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9816459Z return mod(*inputs) 2025-09-07T07:39:39.9816724Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9816850Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9817107Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward 2025-09-07T07:39:39.9817184Z x = self.up2(x, s4) 2025-09-07T07:39:39.9817443Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9817636Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9817640Z 2025-09-07T07:39:39.9817742Z cudagraph partition due to non gpu ops 2025-09-07T07:39:39.9817877Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9818168Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9818242Z return mod(*inputs) 2025-09-07T07:39:39.9818517Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9818643Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9818904Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward 2025-09-07T07:39:39.9818981Z x = self.up2(x, s4) 2025-09-07T07:39:39.9819240Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9819432Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9819437Z 2025-09-07T07:39:39.9819572Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9819862Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9819941Z return mod(*inputs) 2025-09-07T07:39:39.9820207Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9820440Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9820707Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward 2025-09-07T07:39:39.9820780Z x = self.up3(x, s3) 2025-09-07T07:39:39.9821041Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T07:39:39.9821163Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9821167Z 2025-09-07T07:39:39.9821306Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9821592Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9821736Z return mod(*inputs) 2025-09-07T07:39:39.9822002Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9822123Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9822389Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward 2025-09-07T07:39:39.9822463Z x = self.up3(x, s3) 2025-09-07T07:39:39.9822724Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T07:39:39.9822844Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9822848Z 2025-09-07T07:39:39.9822981Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9823270Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9823342Z return mod(*inputs) 2025-09-07T07:39:39.9823612Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9823740Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9824002Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward 2025-09-07T07:39:39.9824079Z s3 = self.down2(s2) 2025-09-07T07:39:39.9824340Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T07:39:39.9824465Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9824470Z 2025-09-07T07:39:39.9824604Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9824890Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9824965Z return mod(*inputs) 2025-09-07T07:39:39.9825230Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9825355Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9825614Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward 2025-09-07T07:39:39.9825696Z x = self.up3(x, s3) 2025-09-07T07:39:39.9825955Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9826148Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9826153Z 2025-09-07T07:39:39.9826254Z cudagraph partition due to non gpu ops 2025-09-07T07:39:39.9826392Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9826682Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9826756Z return mod(*inputs) 2025-09-07T07:39:39.9827024Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9827149Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9827412Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward 2025-09-07T07:39:39.9827494Z x = self.up3(x, s3) 2025-09-07T07:39:39.9827752Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9827949Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9827957Z 2025-09-07T07:39:39.9828170Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9828458Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9828534Z return mod(*inputs) 2025-09-07T07:39:39.9828798Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9828924Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9829182Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward 2025-09-07T07:39:39.9829256Z x = self.up4(x, s2) 2025-09-07T07:39:39.9829519Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T07:39:39.9829700Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9829704Z 2025-09-07T07:39:39.9829841Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9830130Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9830206Z return mod(*inputs) 2025-09-07T07:39:39.9830478Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9830602Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9830863Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward 2025-09-07T07:39:39.9830936Z x = self.up4(x, s2) 2025-09-07T07:39:39.9831195Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T07:39:39.9831317Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9831326Z 2025-09-07T07:39:39.9831462Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9831752Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9831827Z return mod(*inputs) 2025-09-07T07:39:39.9832096Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9832225Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9832480Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward 2025-09-07T07:39:39.9832559Z s2 = self.down1(s1) 2025-09-07T07:39:39.9832817Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T07:39:39.9832941Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9832946Z 2025-09-07T07:39:39.9833080Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9833368Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9833450Z return mod(*inputs) 2025-09-07T07:39:39.9833717Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9833846Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9834106Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward 2025-09-07T07:39:39.9834179Z x = self.up4(x, s2) 2025-09-07T07:39:39.9834442Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9834630Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9834635Z 2025-09-07T07:39:39.9834734Z cudagraph partition due to non gpu ops 2025-09-07T07:39:39.9834870Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9835156Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9835239Z return mod(*inputs) 2025-09-07T07:39:39.9835506Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9835633Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9835989Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward 2025-09-07T07:39:39.9836066Z x = self.up4(x, s2) 2025-09-07T07:39:39.9836329Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9836517Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9836521Z 2025-09-07T07:39:39.9845937Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9846343Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9846425Z return mod(*inputs) 2025-09-07T07:39:39.9846704Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9846996Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9847262Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward 2025-09-07T07:39:39.9847343Z x = self.up5(x, s1) 2025-09-07T07:39:39.9847607Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T07:39:39.9847727Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9847732Z 2025-09-07T07:39:39.9847872Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9848161Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9848234Z return mod(*inputs) 2025-09-07T07:39:39.9848501Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9848624Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9848891Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward 2025-09-07T07:39:39.9848964Z x = self.up5(x, s1) 2025-09-07T07:39:39.9849222Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T07:39:39.9849350Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9849355Z 2025-09-07T07:39:39.9849488Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9849777Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9849850Z return mod(*inputs) 2025-09-07T07:39:39.9850117Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9850240Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9850497Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward 2025-09-07T07:39:39.9850631Z s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9850636Z 2025-09-07T07:39:39.9850769Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9851056Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9851132Z return mod(*inputs) 2025-09-07T07:39:39.9851396Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9851519Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9851778Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward 2025-09-07T07:39:39.9851855Z x = self.up5(x, s1) 2025-09-07T07:39:39.9852114Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9852302Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9852310Z 2025-09-07T07:39:39.9852411Z cudagraph partition due to non gpu ops 2025-09-07T07:39:39.9852547Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9852836Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9852910Z return mod(*inputs) 2025-09-07T07:39:39.9853282Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9853409Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9853668Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward 2025-09-07T07:39:39.9853744Z x = self.up5(x, s1) 2025-09-07T07:39:39.9854002Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9854190Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9854195Z 2025-09-07T07:39:39.9854328Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9854715Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9854792Z return mod(*inputs) 2025-09-07T07:39:39.9855059Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9855186Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9855444Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward 2025-09-07T07:39:39.9855516Z x = self.up5(x, s1) 2025-09-07T07:39:39.9855775Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9855962Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9855967Z 2025-09-07T07:39:39.9856104Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9856388Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9856470Z return mod(*inputs) 2025-09-07T07:39:39.9856738Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T07:39:39.9856859Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T07:39:39.9857123Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 209, in forward 2025-09-07T07:39:39.9857241Z x = F.leaky_relu(self.conv3(x), negative_slope=0.1) 2025-09-07T07:39:39.9857246Z 2025-09-07T07:39:39.9857382Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9857666Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9857739Z return mod(*inputs) 2025-09-07T07:39:39.9858007Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 45, in forward 2025-09-07T07:39:39.9858124Z g_I1_F_t_1 = self.trainFlowBackWarp(I1, F_t_1) 2025-09-07T07:39:39.9858384Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward 2025-09-07T07:39:39.9858476Z grid = torch.stack((x, y), dim=3) 2025-09-07T07:39:39.9858481Z 2025-09-07T07:39:39.9858615Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9858906Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9858981Z return mod(*inputs) 2025-09-07T07:39:39.9859249Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 44, in forward 2025-09-07T07:39:39.9859362Z g_I0_F_t_0 = self.trainFlowBackWarp(I0, F_t_0) 2025-09-07T07:39:39.9859621Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward 2025-09-07T07:39:39.9859710Z grid = torch.stack((x, y), dim=3) 2025-09-07T07:39:39.9859715Z 2025-09-07T07:39:39.9859850Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9860136Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9860215Z return mod(*inputs) 2025-09-07T07:39:39.9860483Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 49, in forward 2025-09-07T07:39:39.9860551Z torch.cat( 2025-09-07T07:39:39.9860556Z 2025-09-07T07:39:39.9860782Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9861078Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9861151Z return mod(*inputs) 2025-09-07T07:39:39.9861420Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 49, in forward 2025-09-07T07:39:39.9861489Z torch.cat( 2025-09-07T07:39:39.9861494Z 2025-09-07T07:39:39.9861591Z cudagraph partition due to non gpu ops 2025-09-07T07:39:39.9861689Z cudagraph partition due to non gpu ops 2025-09-07T07:39:39.9861822Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9862109Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9862261Z return mod(*inputs) 2025-09-07T07:39:39.9862526Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 49, in forward 2025-09-07T07:39:39.9862595Z torch.cat( 2025-09-07T07:39:39.9862600Z 2025-09-07T07:39:39.9862737Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9863025Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9863099Z return mod(*inputs) 2025-09-07T07:39:39.9863364Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9863465Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9863724Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward 2025-09-07T07:39:39.9863849Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9863853Z 2025-09-07T07:39:39.9864068Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9864356Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9864430Z return mod(*inputs) 2025-09-07T07:39:39.9864698Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9864798Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9865057Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward 2025-09-07T07:39:39.9865179Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9865184Z 2025-09-07T07:39:39.9865316Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9865598Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9865675Z return mod(*inputs) 2025-09-07T07:39:39.9865940Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9866045Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9866303Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward 2025-09-07T07:39:39.9866421Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9866426Z 2025-09-07T07:39:39.9866563Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9866848Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9866924Z return mod(*inputs) 2025-09-07T07:39:39.9867190Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9867285Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9867546Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward 2025-09-07T07:39:39.9867674Z s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9867678Z 2025-09-07T07:39:39.9867819Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9868104Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9868180Z return mod(*inputs) 2025-09-07T07:39:39.9868609Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9868731Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9868995Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward 2025-09-07T07:39:39.9869066Z s2 = self.down1(s1) 2025-09-07T07:39:39.9869325Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward 2025-09-07T07:39:39.9869402Z x = F.avg_pool2d(x, 2) 2025-09-07T07:39:39.9869406Z 2025-09-07T07:39:39.9869539Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9869826Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9870004Z return mod(*inputs) 2025-09-07T07:39:39.9870271Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9870367Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9870629Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward 2025-09-07T07:39:39.9870706Z s2 = self.down1(s1) 2025-09-07T07:39:39.9870961Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T07:39:39.9871084Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9871089Z 2025-09-07T07:39:39.9871222Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9871505Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9871583Z return mod(*inputs) 2025-09-07T07:39:39.9871847Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9871950Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9872209Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward 2025-09-07T07:39:39.9872282Z s2 = self.down1(s1) 2025-09-07T07:39:39.9872545Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T07:39:39.9872668Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9872672Z 2025-09-07T07:39:39.9872809Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9873094Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9873169Z return mod(*inputs) 2025-09-07T07:39:39.9873435Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9873531Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9873793Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward 2025-09-07T07:39:39.9873870Z s2 = self.down1(s1) 2025-09-07T07:39:39.9874128Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T07:39:39.9874249Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9874253Z 2025-09-07T07:39:39.9874389Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9874677Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9874752Z return mod(*inputs) 2025-09-07T07:39:39.9875020Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9875117Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9875374Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward 2025-09-07T07:39:39.9875450Z s3 = self.down2(s2) 2025-09-07T07:39:39.9875708Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward 2025-09-07T07:39:39.9875793Z x = F.avg_pool2d(x, 2) 2025-09-07T07:39:39.9875798Z 2025-09-07T07:39:39.9875933Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9876313Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9876421Z return mod(*inputs) 2025-09-07T07:39:39.9876686Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9876785Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9877040Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward 2025-09-07T07:39:39.9877117Z s3 = self.down2(s2) 2025-09-07T07:39:39.9877372Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T07:39:39.9877492Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9877496Z 2025-09-07T07:39:39.9877632Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9877991Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9878067Z return mod(*inputs) 2025-09-07T07:39:39.9878335Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9878431Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9878692Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward 2025-09-07T07:39:39.9878765Z s3 = self.down2(s2) 2025-09-07T07:39:39.9879022Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T07:39:39.9879143Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9879147Z 2025-09-07T07:39:39.9879278Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9879567Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9879645Z return mod(*inputs) 2025-09-07T07:39:39.9879912Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9880009Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9880271Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward 2025-09-07T07:39:39.9880349Z s3 = self.down2(s2) 2025-09-07T07:39:39.9880604Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T07:39:39.9880728Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9880732Z 2025-09-07T07:39:39.9880865Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9881152Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9881225Z return mod(*inputs) 2025-09-07T07:39:39.9881488Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9881593Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9881851Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward 2025-09-07T07:39:39.9881927Z s4 = self.down3(s3) 2025-09-07T07:39:39.9882185Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward 2025-09-07T07:39:39.9882262Z x = F.avg_pool2d(x, 2) 2025-09-07T07:39:39.9882267Z 2025-09-07T07:39:39.9882404Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9882689Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9882766Z return mod(*inputs) 2025-09-07T07:39:39.9883029Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9883126Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9883386Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward 2025-09-07T07:39:39.9883462Z s4 = self.down3(s3) 2025-09-07T07:39:39.9883720Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T07:39:39.9883839Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9883844Z 2025-09-07T07:39:39.9884069Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9884367Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9884441Z return mod(*inputs) 2025-09-07T07:39:39.9884710Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9884807Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9885067Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward 2025-09-07T07:39:39.9885143Z s4 = self.down3(s3) 2025-09-07T07:39:39.9885399Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T07:39:39.9885621Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9885626Z 2025-09-07T07:39:39.9885760Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9886052Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9886126Z return mod(*inputs) 2025-09-07T07:39:39.9886391Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9886492Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9886750Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward 2025-09-07T07:39:39.9886826Z s4 = self.down3(s3) 2025-09-07T07:39:39.9887082Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T07:39:39.9887203Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9887207Z 2025-09-07T07:39:39.9887347Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9887631Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9887707Z return mod(*inputs) 2025-09-07T07:39:39.9887976Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9888072Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9888333Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward 2025-09-07T07:39:39.9888407Z s5 = self.down4(s4) 2025-09-07T07:39:39.9888665Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward 2025-09-07T07:39:39.9888740Z x = F.avg_pool2d(x, 2) 2025-09-07T07:39:39.9888745Z 2025-09-07T07:39:39.9888880Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9889169Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9889247Z return mod(*inputs) 2025-09-07T07:39:39.9889514Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9889611Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9889872Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward 2025-09-07T07:39:39.9889948Z s5 = self.down4(s4) 2025-09-07T07:39:39.9890203Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T07:39:39.9890327Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9890331Z 2025-09-07T07:39:39.9890463Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9890749Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9890823Z return mod(*inputs) 2025-09-07T07:39:39.9891086Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9891191Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9891451Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward 2025-09-07T07:39:39.9891528Z s5 = self.down4(s4) 2025-09-07T07:39:39.9891872Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T07:39:39.9892006Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9892011Z 2025-09-07T07:39:39.9892147Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9892429Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9892505Z return mod(*inputs) 2025-09-07T07:39:39.9892771Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9892867Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9893131Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward 2025-09-07T07:39:39.9893276Z s5 = self.down4(s4) 2025-09-07T07:39:39.9893537Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T07:39:39.9893658Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9893663Z 2025-09-07T07:39:39.9893801Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9894089Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9894163Z return mod(*inputs) 2025-09-07T07:39:39.9894430Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9894526Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9894786Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward 2025-09-07T07:39:39.9894857Z x = self.down5(s5) 2025-09-07T07:39:39.9895112Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward 2025-09-07T07:39:39.9895195Z x = F.avg_pool2d(x, 2) 2025-09-07T07:39:39.9895199Z 2025-09-07T07:39:39.9895333Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9895621Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9895697Z return mod(*inputs) 2025-09-07T07:39:39.9895961Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9896061Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9896317Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward 2025-09-07T07:39:39.9896391Z x = self.down5(s5) 2025-09-07T07:39:39.9896644Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T07:39:39.9896764Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9896769Z 2025-09-07T07:39:39.9896903Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9897191Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9897266Z return mod(*inputs) 2025-09-07T07:39:39.9897529Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9897628Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9897890Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward 2025-09-07T07:39:39.9897961Z x = self.down5(s5) 2025-09-07T07:39:39.9898217Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T07:39:39.9898336Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9898340Z 2025-09-07T07:39:39.9898472Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9898756Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9898832Z return mod(*inputs) 2025-09-07T07:39:39.9899101Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9899196Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9899546Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward 2025-09-07T07:39:39.9899623Z x = self.down5(s5) 2025-09-07T07:39:39.9899878Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T07:39:39.9900000Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9900005Z 2025-09-07T07:39:39.9900137Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9900424Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9900500Z return mod(*inputs) 2025-09-07T07:39:39.9900762Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9900927Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9901185Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward 2025-09-07T07:39:39.9901260Z x = self.up1(x, s5) 2025-09-07T07:39:39.9901521Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T07:39:39.9901642Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9901646Z 2025-09-07T07:39:39.9901781Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9902066Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9902143Z return mod(*inputs) 2025-09-07T07:39:39.9902408Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9902503Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9902764Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward 2025-09-07T07:39:39.9902841Z x = self.up1(x, s5) 2025-09-07T07:39:39.9903101Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T07:39:39.9903221Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9903226Z 2025-09-07T07:39:39.9903369Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9903656Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9903732Z return mod(*inputs) 2025-09-07T07:39:39.9904000Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9904098Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9904360Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward 2025-09-07T07:39:39.9904432Z s5 = self.down4(s4) 2025-09-07T07:39:39.9904686Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T07:39:39.9904816Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9904821Z 2025-09-07T07:39:39.9904954Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9905243Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9905318Z return mod(*inputs) 2025-09-07T07:39:39.9905583Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9905684Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9905941Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward 2025-09-07T07:39:39.9906017Z x = self.up1(x, s5) 2025-09-07T07:39:39.9906274Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9906463Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9906475Z 2025-09-07T07:39:39.9906573Z cudagraph partition due to non gpu ops 2025-09-07T07:39:39.9906706Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9906994Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9907163Z return mod(*inputs) 2025-09-07T07:39:39.9907437Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9907534Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9907791Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward 2025-09-07T07:39:39.9907870Z x = self.up1(x, s5) 2025-09-07T07:39:39.9908128Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9908319Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9908324Z 2025-09-07T07:39:39.9908456Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9908799Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9908876Z return mod(*inputs) 2025-09-07T07:39:39.9909142Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9909245Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9909502Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward 2025-09-07T07:39:39.9909573Z x = self.up2(x, s4) 2025-09-07T07:39:39.9909833Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T07:39:39.9909954Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9909959Z 2025-09-07T07:39:39.9910096Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9910380Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9910457Z return mod(*inputs) 2025-09-07T07:39:39.9910727Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9910823Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9911088Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward 2025-09-07T07:39:39.9911160Z x = self.up2(x, s4) 2025-09-07T07:39:39.9911420Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T07:39:39.9911541Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9911545Z 2025-09-07T07:39:39.9911677Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9911965Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9912040Z return mod(*inputs) 2025-09-07T07:39:39.9912308Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9912408Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9912665Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward 2025-09-07T07:39:39.9912740Z s4 = self.down3(s3) 2025-09-07T07:39:39.9913000Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T07:39:39.9913125Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9913130Z 2025-09-07T07:39:39.9913263Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9913546Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9913623Z return mod(*inputs) 2025-09-07T07:39:39.9913889Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9913988Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9914248Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward 2025-09-07T07:39:39.9914326Z x = self.up2(x, s4) 2025-09-07T07:39:39.9914589Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9914778Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9914782Z 2025-09-07T07:39:39.9915043Z cudagraph partition due to non gpu ops 2025-09-07T07:39:39.9915185Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9915474Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9915547Z return mod(*inputs) 2025-09-07T07:39:39.9915813Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9915913Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9916172Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward 2025-09-07T07:39:39.9916248Z x = self.up2(x, s4) 2025-09-07T07:39:39.9916578Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9916764Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9916769Z 2025-09-07T07:39:39.9916908Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9917191Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9917267Z return mod(*inputs) 2025-09-07T07:39:39.9917534Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9917631Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9917894Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward 2025-09-07T07:39:39.9917968Z x = self.up3(x, s3) 2025-09-07T07:39:39.9918229Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T07:39:39.9918348Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9918357Z 2025-09-07T07:39:39.9918491Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9918777Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9918856Z return mod(*inputs) 2025-09-07T07:39:39.9919124Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9919222Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9919480Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward 2025-09-07T07:39:39.9919557Z x = self.up3(x, s3) 2025-09-07T07:39:39.9919815Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T07:39:39.9919938Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9919943Z 2025-09-07T07:39:39.9920076Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9920365Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9920439Z return mod(*inputs) 2025-09-07T07:39:39.9920706Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9920810Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9921069Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward 2025-09-07T07:39:39.9921144Z s3 = self.down2(s2) 2025-09-07T07:39:39.9921402Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T07:39:39.9921523Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9921528Z 2025-09-07T07:39:39.9921665Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9921948Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9922024Z return mod(*inputs) 2025-09-07T07:39:39.9922296Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9922393Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9922651Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward 2025-09-07T07:39:39.9922815Z x = self.up3(x, s3) 2025-09-07T07:39:39.9923085Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9923273Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9923278Z 2025-09-07T07:39:39.9923380Z cudagraph partition due to non gpu ops 2025-09-07T07:39:39.9923514Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9923798Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9923877Z return mod(*inputs) 2025-09-07T07:39:39.9924144Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9924313Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9924570Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward 2025-09-07T07:39:39.9924643Z x = self.up3(x, s3) 2025-09-07T07:39:39.9924906Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9925094Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9925099Z 2025-09-07T07:39:39.9925234Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9925519Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9925593Z return mod(*inputs) 2025-09-07T07:39:39.9925861Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9925956Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9926221Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward 2025-09-07T07:39:39.9926294Z x = self.up4(x, s2) 2025-09-07T07:39:39.9926550Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T07:39:39.9926679Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9926684Z 2025-09-07T07:39:39.9926817Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9927101Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9927175Z return mod(*inputs) 2025-09-07T07:39:39.9927439Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9927538Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9927794Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward 2025-09-07T07:39:39.9927871Z x = self.up4(x, s2) 2025-09-07T07:39:39.9928132Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T07:39:39.9928255Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9928263Z 2025-09-07T07:39:39.9928396Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9928683Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9928762Z return mod(*inputs) 2025-09-07T07:39:39.9929029Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9929129Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9929386Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward 2025-09-07T07:39:39.9929459Z s2 = self.down1(s1) 2025-09-07T07:39:39.9929718Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T07:39:39.9929839Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9929848Z 2025-09-07T07:39:39.9929984Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9930268Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9930432Z return mod(*inputs) 2025-09-07T07:39:39.9930707Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9930805Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9931063Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward 2025-09-07T07:39:39.9931137Z x = self.up4(x, s2) 2025-09-07T07:39:39.9931394Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9931587Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9931591Z 2025-09-07T07:39:39.9931686Z cudagraph partition due to non gpu ops 2025-09-07T07:39:39.9931890Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9932175Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9932253Z return mod(*inputs) 2025-09-07T07:39:39.9932520Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9932618Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9932877Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward 2025-09-07T07:39:39.9932951Z x = self.up4(x, s2) 2025-09-07T07:39:39.9933211Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9933397Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9933402Z 2025-09-07T07:39:39.9933535Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9933825Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9933902Z return mod(*inputs) 2025-09-07T07:39:39.9934167Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9934265Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9934525Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward 2025-09-07T07:39:39.9934601Z x = self.up5(x, s1) 2025-09-07T07:39:39.9934859Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T07:39:39.9934983Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9934988Z 2025-09-07T07:39:39.9935120Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9935403Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9935481Z return mod(*inputs) 2025-09-07T07:39:39.9935747Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9935851Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9936109Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward 2025-09-07T07:39:39.9936182Z x = self.up5(x, s1) 2025-09-07T07:39:39.9936446Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T07:39:39.9936568Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T07:39:39.9936573Z 2025-09-07T07:39:39.9936710Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9936994Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9937073Z return mod(*inputs) 2025-09-07T07:39:39.9937339Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9937436Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9937703Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward 2025-09-07T07:39:39.9937829Z s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T07:39:39.9937834Z 2025-09-07T07:39:39.9937969Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9938352Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9938432Z return mod(*inputs) 2025-09-07T07:39:39.9938704Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9938801Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9939061Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward 2025-09-07T07:39:39.9939136Z x = self.up5(x, s1) 2025-09-07T07:39:39.9939393Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9939583Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9939652Z 2025-09-07T07:39:39.9939752Z cudagraph partition due to non gpu ops 2025-09-07T07:39:39.9939889Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9940178Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9940253Z return mod(*inputs) 2025-09-07T07:39:39.9940520Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9940615Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9940875Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward 2025-09-07T07:39:39.9940950Z x = self.up5(x, s1) 2025-09-07T07:39:39.9941212Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9941397Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9941405Z 2025-09-07T07:39:39.9941539Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9941827Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9941900Z return mod(*inputs) 2025-09-07T07:39:39.9942170Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9942268Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9942527Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward 2025-09-07T07:39:39.9942605Z x = self.up5(x, s1) 2025-09-07T07:39:39.9942862Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T07:39:39.9943052Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T07:39:39.9943056Z 2025-09-07T07:39:39.9943189Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9943473Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9943553Z return mod(*inputs) 2025-09-07T07:39:39.9943818Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T07:39:39.9943916Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T07:39:39.9944176Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 209, in forward 2025-09-07T07:39:39.9944297Z x = F.leaky_relu(self.conv3(x), negative_slope=0.1) 2025-09-07T07:39:39.9944304Z 2025-09-07T07:39:39.9944434Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9944719Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9944795Z return mod(*inputs) 2025-09-07T07:39:39.9945061Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 57, in forward 2025-09-07T07:39:39.9945161Z V_t_0 = F.sigmoid(intrpOut[:, 4:5, :, :]) 2025-09-07T07:39:39.9945169Z 2025-09-07T07:39:39.9945303Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9945584Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9945662Z return mod(*inputs) 2025-09-07T07:39:39.9946018Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 61, in forward 2025-09-07T07:39:39.9946187Z g_I0_F_t_0_f = self.trainFlowBackWarp(I0, F_t_0_f) 2025-09-07T07:39:39.9946448Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward 2025-09-07T07:39:39.9946537Z grid = torch.stack((x, y), dim=3) 2025-09-07T07:39:39.9946543Z 2025-09-07T07:39:39.9946680Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9946964Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9947040Z return mod(*inputs) 2025-09-07T07:39:39.9947304Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 62, in forward 2025-09-07T07:39:39.9947481Z g_I1_F_t_1_f = self.trainFlowBackWarp(I1, F_t_1_f) 2025-09-07T07:39:39.9947743Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward 2025-09-07T07:39:39.9947830Z grid = torch.stack((x, y), dim=3) 2025-09-07T07:39:39.9947838Z 2025-09-07T07:39:39.9947975Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9948259Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9948335Z return mod(*inputs) 2025-09-07T07:39:39.9948600Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T07:39:39.9948803Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T07:39:39.9948808Z 2025-09-07T07:39:39.9948945Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9949230Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9949310Z return mod(*inputs) 2025-09-07T07:39:39.9949574Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T07:39:39.9949776Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T07:39:39.9949784Z 2025-09-07T07:39:39.9949916Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9950200Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9950276Z return mod(*inputs) 2025-09-07T07:39:39.9950539Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T07:39:39.9950741Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T07:39:39.9950745Z 2025-09-07T07:39:39.9950879Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9951162Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9951244Z return mod(*inputs) 2025-09-07T07:39:39.9951511Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T07:39:39.9951714Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T07:39:39.9951719Z 2025-09-07T07:39:39.9951852Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9952134Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9952211Z return mod(*inputs) 2025-09-07T07:39:39.9952474Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T07:39:39.9952673Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T07:39:39.9952678Z 2025-09-07T07:39:39.9952813Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9953101Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9953176Z return mod(*inputs) 2025-09-07T07:39:39.9953443Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T07:39:39.9953726Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T07:39:39.9953733Z 2025-09-07T07:39:39.9953871Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9954160Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9954234Z return mod(*inputs) 2025-09-07T07:39:39.9954498Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T07:39:39.9954698Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T07:39:39.9954703Z 2025-09-07T07:39:39.9954835Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9955184Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9955257Z return mod(*inputs) 2025-09-07T07:39:39.9955522Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T07:39:39.9955727Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T07:39:39.9955732Z 2025-09-07T07:39:39.9955865Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9956149Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9956224Z return mod(*inputs) 2025-09-07T07:39:39.9956491Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T07:39:39.9956689Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T07:39:39.9956693Z 2025-09-07T07:39:39.9956824Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9957115Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9957188Z return mod(*inputs) 2025-09-07T07:39:39.9957461Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T07:39:39.9957660Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T07:39:39.9957664Z 2025-09-07T07:39:39.9957799Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9958081Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9958154Z return mod(*inputs) 2025-09-07T07:39:39.9958424Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T07:39:39.9958622Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T07:39:39.9958627Z 2025-09-07T07:39:39.9958769Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9959055Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9959128Z return mod(*inputs) 2025-09-07T07:39:39.9959401Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T07:39:39.9959599Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T07:39:39.9959604Z 2025-09-07T07:39:39.9959739Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9960021Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9960095Z return mod(*inputs) 2025-09-07T07:39:39.9960362Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T07:39:39.9960559Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T07:39:39.9960568Z 2025-09-07T07:39:39.9960705Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9960989Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9961064Z return mod(*inputs) 2025-09-07T07:39:39.9961424Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T07:39:39.9961633Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T07:39:39.9961638Z 2025-09-07T07:39:39.9961774Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9962058Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9962136Z return mod(*inputs) 2025-09-07T07:39:39.9962401Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T07:39:39.9962597Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T07:39:39.9962665Z 2025-09-07T07:39:39.9962804Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9963087Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9963164Z return mod(*inputs) 2025-09-07T07:39:39.9963430Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T07:39:39.9963629Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T07:39:39.9963634Z 2025-09-07T07:39:39.9963765Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9964115Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9964193Z return mod(*inputs) 2025-09-07T07:39:39.9964459Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T07:39:39.9964658Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T07:39:39.9964666Z 2025-09-07T07:39:39.9964799Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9965081Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9965159Z return mod(*inputs) 2025-09-07T07:39:39.9965427Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T07:39:39.9965627Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T07:39:39.9965632Z 2025-09-07T07:39:39.9965764Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9966048Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9966122Z return mod(*inputs) 2025-09-07T07:39:39.9966387Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T07:39:39.9966586Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T07:39:39.9966594Z 2025-09-07T07:39:39.9966727Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9967011Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9967089Z return mod(*inputs) 2025-09-07T07:39:39.9967356Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T07:39:39.9967555Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T07:39:39.9967560Z 2025-09-07T07:39:39.9967691Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9967975Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9968049Z return mod(*inputs) 2025-09-07T07:39:39.9968311Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T07:39:39.9968511Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T07:39:39.9968520Z 2025-09-07T07:39:39.9968654Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9968939Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9969166Z return mod(*inputs) 2025-09-07T07:39:39.9969451Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T07:39:39.9969648Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T07:39:39.9969652Z 2025-09-07T07:39:39.9969784Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9970066Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9970154Z return mod(*inputs) 2025-09-07T07:39:39.9970421Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T07:39:39.9970735Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T07:39:39.9970739Z 2025-09-07T07:39:39.9970873Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9971161Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9971235Z return mod(*inputs) 2025-09-07T07:39:39.9971500Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T07:39:39.9971702Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T07:39:39.9971706Z 2025-09-07T07:39:39.9971839Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9972125Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9972200Z return mod(*inputs) 2025-09-07T07:39:39.9972464Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T07:39:39.9972669Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T07:39:39.9972673Z 2025-09-07T07:39:39.9972806Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9973093Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9973168Z return mod(*inputs) 2025-09-07T07:39:39.9973437Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T07:39:39.9973634Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T07:39:39.9973639Z 2025-09-07T07:39:39.9973734Z cudagraph partition due to non gpu ops 2025-09-07T07:39:39.9973868Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9974150Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9974226Z return mod(*inputs) 2025-09-07T07:39:39.9974498Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 79, in forward 2025-09-07T07:39:39.9974623Z + L1_lossFn(self.trainFlowBackWarp(I0, F_1_0), I1) 2025-09-07T07:39:39.9974884Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward 2025-09-07T07:39:39.9974975Z grid = torch.stack((x, y), dim=3) 2025-09-07T07:39:39.9974980Z 2025-09-07T07:39:39.9975080Z cudagraph partition due to non gpu ops 2025-09-07T07:39:39.9975215Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9975498Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9975575Z return mod(*inputs) 2025-09-07T07:39:39.9975842Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 80, in forward 2025-09-07T07:39:39.9975970Z + L1_lossFn(self.trainFlowBackWarp(I1, F_0_1), I0) 2025-09-07T07:39:39.9976228Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward 2025-09-07T07:39:39.9976319Z grid = torch.stack((x, y), dim=3) 2025-09-07T07:39:39.9976326Z 2025-09-07T07:39:39.9976423Z cudagraph partition due to non gpu ops 2025-09-07T07:39:39.9976557Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9976932Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9977013Z return mod(*inputs) 2025-09-07T07:39:39.9977282Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T07:39:39.9977480Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T07:39:39.9977485Z 2025-09-07T07:39:39.9977620Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9977907Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9977982Z return mod(*inputs) 2025-09-07T07:39:39.9978248Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T07:39:39.9978520Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T07:39:39.9978525Z 2025-09-07T07:39:39.9978658Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9978946Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9979021Z return mod(*inputs) 2025-09-07T07:39:39.9979287Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T07:39:39.9979487Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T07:39:39.9979492Z 2025-09-07T07:39:39.9979627Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9979910Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9979984Z return mod(*inputs) 2025-09-07T07:39:39.9980258Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T07:39:39.9980456Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T07:39:39.9980461Z 2025-09-07T07:39:39.9980596Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9980883Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9980958Z return mod(*inputs) 2025-09-07T07:39:39.9981226Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T07:39:39.9981423Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T07:39:39.9981427Z 2025-09-07T07:39:39.9981562Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9981844Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9981921Z return mod(*inputs) 2025-09-07T07:39:39.9982191Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T07:39:39.9982388Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T07:39:39.9982392Z 2025-09-07T07:39:39.9982531Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9982813Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9982890Z return mod(*inputs) 2025-09-07T07:39:39.9983153Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T07:39:39.9983350Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T07:39:39.9983355Z 2025-09-07T07:39:39.9983489Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9983772Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9983852Z return mod(*inputs) 2025-09-07T07:39:39.9984116Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T07:39:39.9984314Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T07:39:39.9984321Z 2025-09-07T07:39:39.9984543Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9984832Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9984912Z return mod(*inputs) 2025-09-07T07:39:39.9985178Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T07:39:39.9985379Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T07:39:39.9985384Z 2025-09-07T07:39:39.9985515Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9985800Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9985950Z return mod(*inputs) 2025-09-07T07:39:39.9986226Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T07:39:39.9986427Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T07:39:39.9986431Z 2025-09-07T07:39:39.9986568Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9986850Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9986925Z return mod(*inputs) 2025-09-07T07:39:39.9987191Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T07:39:39.9987391Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T07:39:39.9987396Z 2025-09-07T07:39:39.9987528Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9987814Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9987891Z return mod(*inputs) 2025-09-07T07:39:39.9988155Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T07:39:39.9988356Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T07:39:39.9988364Z 2025-09-07T07:39:39.9988462Z cudagraph partition due to non gpu ops 2025-09-07T07:39:39.9988559Z cudagraph partition due to non gpu ops 2025-09-07T07:39:39.9988652Z cudagraph partition due to non gpu ops 2025-09-07T07:39:39.9988745Z cudagraph partition due to non gpu ops 2025-09-07T07:39:39.9988839Z cudagraph partition due to non gpu ops 2025-09-07T07:39:39.9988972Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:39:39.9989258Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:39:39.9989333Z return mod(*inputs) 2025-09-07T07:39:39.9989599Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 94, in forward 2025-09-07T07:39:39.9989775Z loss = 204 * recnLoss + 102 * warpLoss + 0.005 * prcpLoss + loss_smooth 2025-09-07T07:39:39.9989780Z 2025-09-07T07:40:09.8357167Z pass 2025-09-07T07:40:09.8357669Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:40:12.0236474Z /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. 2025-09-07T07:40:12.0237663Z import pynvml # type: ignore[import] 2025-09-07T07:40:14.5804079Z 2025-09-07T07:40:15.1972222Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:40:15.1972510Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:40:15.1999267Z cpu eval alexnet 2025-09-07T07:40:15.3164214Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:40:15.3368234Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:40:15.3555542Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:40:17.7915462Z cudagraph partition due to non gpu ops 2025-09-07T07:40:17.7915793Z cudagraph partition due to non gpu ops 2025-09-07T07:40:17.7916089Z cudagraph partition due to non gpu ops 2025-09-07T07:40:17.7916370Z cudagraph partition due to non gpu ops 2025-09-07T07:40:17.7916652Z cudagraph partition due to non gpu ops 2025-09-07T07:40:17.7916924Z cudagraph partition due to non gpu ops 2025-09-07T07:40:17.7917253Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:17.7917799Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:40:17.7918280Z return mod(*inputs) 2025-09-07T07:40:17.7918766Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward 2025-09-07T07:40:17.7919544Z x = self.features(x) 2025-09-07T07:40:17.7919688Z 2025-09-07T07:40:17.7919827Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:17.7920366Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:40:17.7920831Z return mod(*inputs) 2025-09-07T07:40:17.7921304Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward 2025-09-07T07:40:17.7921809Z x = self.features(x) 2025-09-07T07:40:17.7921953Z 2025-09-07T07:40:17.7922089Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:17.7922611Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:40:17.7923073Z return mod(*inputs) 2025-09-07T07:40:17.7923543Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward 2025-09-07T07:40:17.7924058Z x = self.features(x) 2025-09-07T07:40:17.7924201Z 2025-09-07T07:40:17.7924339Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:17.7924864Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:40:17.7925324Z return mod(*inputs) 2025-09-07T07:40:17.7925791Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward 2025-09-07T07:40:17.7926301Z x = self.features(x) 2025-09-07T07:40:17.7926444Z 2025-09-07T07:40:17.7926583Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:17.7927102Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:40:17.7927567Z return mod(*inputs) 2025-09-07T07:40:17.7928028Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward 2025-09-07T07:40:17.7928545Z x = self.features(x) 2025-09-07T07:40:17.7928689Z 2025-09-07T07:40:17.7928825Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:17.7929344Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:40:17.7929811Z return mod(*inputs) 2025-09-07T07:40:17.7930281Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward 2025-09-07T07:40:17.7930792Z x = self.features(x) 2025-09-07T07:40:17.7930933Z 2025-09-07T07:40:17.7931071Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:17.7931590Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:40:17.7932047Z return mod(*inputs) 2025-09-07T07:40:17.7932513Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward 2025-09-07T07:40:17.7933022Z x = self.features(x) 2025-09-07T07:40:17.7933167Z 2025-09-07T07:40:17.7933308Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:17.7933829Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:40:17.7934284Z return mod(*inputs) 2025-09-07T07:40:17.7934900Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward 2025-09-07T07:40:17.7935431Z x = self.features(x) 2025-09-07T07:40:17.7935571Z 2025-09-07T07:40:17.7935711Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:17.7936222Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:40:17.7936682Z return mod(*inputs) 2025-09-07T07:40:17.7937143Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward 2025-09-07T07:40:17.7937648Z x = self.features(x) 2025-09-07T07:40:17.7937786Z 2025-09-07T07:40:17.7938020Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:17.7938532Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:40:17.7938995Z return mod(*inputs) 2025-09-07T07:40:17.7939464Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 48, in forward 2025-09-07T07:40:17.7939972Z x = self.features(x) 2025-09-07T07:40:17.7940110Z 2025-09-07T07:40:17.7940244Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:17.7940759Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:40:17.7941217Z return mod(*inputs) 2025-09-07T07:40:17.7941680Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 49, in forward 2025-09-07T07:40:17.7942184Z x = self.avgpool(x) 2025-09-07T07:40:17.7942317Z 2025-09-07T07:40:17.7942450Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:17.7942970Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:40:17.7943428Z return mod(*inputs) 2025-09-07T07:40:17.7943894Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 51, in forward 2025-09-07T07:40:17.7944402Z x = self.classifier(x) 2025-09-07T07:40:17.7944552Z 2025-09-07T07:40:17.7944707Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:17.7945223Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:40:17.7945681Z return mod(*inputs) 2025-09-07T07:40:17.7946142Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 51, in forward 2025-09-07T07:40:17.7946643Z x = self.classifier(x) 2025-09-07T07:40:17.7946793Z 2025-09-07T07:40:17.7946926Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:17.7947447Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:40:17.7947906Z return mod(*inputs) 2025-09-07T07:40:17.7948368Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 51, in forward 2025-09-07T07:40:17.7948878Z x = self.classifier(x) 2025-09-07T07:40:17.7949028Z 2025-09-07T07:40:17.7949162Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:17.7949681Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:40:17.7950140Z return mod(*inputs) 2025-09-07T07:40:17.7950621Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 51, in forward 2025-09-07T07:40:17.7951130Z x = self.classifier(x) 2025-09-07T07:40:17.7951273Z 2025-09-07T07:40:17.7951410Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:40:17.7951924Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:40:17.7952389Z return mod(*inputs) 2025-09-07T07:40:17.7952856Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/alexnet.py", line 51, in forward 2025-09-07T07:40:17.7953361Z x = self.classifier(x) 2025-09-07T07:40:17.7953641Z 2025-09-07T07:40:22.6993669Z pass 2025-09-07T07:40:22.6994148Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:40:23.7247609Z accuracy pass_rate=80.00% 2025-09-07T07:40:23.7253065Z calls_captured gmean=0.00x mean=202.400x 2025-09-07T07:40:23.7256895Z unique_graphs gmean=0.00x mean=0.800x 2025-09-07T07:40:23.7261106Z graph_breaks gmean=0.00x mean=0.000x 2025-09-07T07:40:23.7265184Z unique_graph_breaks gmean=0.00x mean=0.000x 2025-09-07T07:40:23.7268798Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T07:40:23.7272461Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T07:40:23.7276154Z cudagraph_skips gmean=0.00x mean=0.800x 2025-09-07T07:40:23.7277499Z compilation_latency mean=16.890 seconds 2025-09-07T07:40:24.1810310Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *cppwrapper-true* ]] 2025-09-07T07:40:24.1810992Z + TORCHINDUCTOR_CPP_WRAPPER=1 2025-09-07T07:40:24.1812385Z + 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 0 --output /var/lib/jenkins/workspace/test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cpu_aarch64_accuracy.csv 2025-09-07T07:40:24.5205204Z /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. 2025-09-07T07:40:24.5206404Z import pynvml # type: ignore[import] 2025-09-07T07:40:27.4787209Z /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. 2025-09-07T07:40:27.4788373Z import pynvml # type: ignore[import] 2025-09-07T07:40:30.0797409Z 2025-09-07T07:40:32.0403906Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:40:32.0404261Z loading model: 0it [00:01, ?it/s] 2025-09-07T07:40:32.0546908Z cpu eval BERT_pytorch 2025-09-07T07:40:32.7584194Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:40:32.9536906Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:40:33.1453355Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:41:00.9360054Z pass 2025-09-07T07:41:00.9361625Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:41:02.6327242Z /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. 2025-09-07T07:41:02.6328423Z import pynvml # type: ignore[import] 2025-09-07T07:41:05.2387408Z 2025-09-07T07:41:07.3836591Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:41:07.3836880Z loading model: 0it [00:02, ?it/s] 2025-09-07T07:41:07.3905331Z cpu eval Background_Matting 2025-09-07T07:41:07.4206018Z pass_due_to_skip 2025-09-07T07:41:07.4207051Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:41:08.5525968Z /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. 2025-09-07T07:41:08.5527522Z import pynvml # type: ignore[import] 2025-09-07T07:41:11.1405928Z 2025-09-07T07:41:13.5583842Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:41:13.5584142Z loading model: 0it [00:02, ?it/s] 2025-09-07T07:41:13.5618089Z cpu eval LearningToPaint 2025-09-07T07:41:13.6789280Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:41:13.7122821Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:41:13.7431608Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:41:24.5188300Z pass 2025-09-07T07:41:24.5189957Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:41:26.0847789Z /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. 2025-09-07T07:41:26.0848965Z import pynvml # type: ignore[import] 2025-09-07T07:41:28.6489193Z 2025-09-07T07:41:29.8569948Z loading model: 0it [00:00, ?it/s]WARNING:common:Model Super_SloMo does not support bfloat16, running with amp instead 2025-09-07T07:41:30.7485839Z 2025-09-07T07:41:30.7486115Z loading model: 0it [00:02, ?it/s] 2025-09-07T07:41:30.7486877Z WARNING:common:Model Super_SloMo does not support bfloat16, running with amp instead 2025-09-07T07:41:30.7487329Z cpu eval Super_SloMo 2025-09-07T07:41:52.2004517Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:41:52.2005931Z WARNING:common:Model Super_SloMo does not support bfloat16, running with amp instead 2025-09-07T07:41:53.7975433Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:41:55.3988332Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:42:45.3991984Z pass 2025-09-07T07:42:45.3995207Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:42:47.8413072Z /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. 2025-09-07T07:42:47.8414245Z import pynvml # type: ignore[import] 2025-09-07T07:42:50.4186365Z 2025-09-07T07:42:51.0269303Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:42:51.0269579Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:42:51.0296144Z cpu eval alexnet 2025-09-07T07:42:51.1459539Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:42:51.1665373Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:42:51.1854848Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:42:59.4152378Z pass 2025-09-07T07:42:59.4153694Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:43:00.4430681Z accuracy pass_rate=80.00% 2025-09-07T07:43:00.4435970Z calls_captured gmean=0.00x mean=202.400x 2025-09-07T07:43:00.4439983Z unique_graphs gmean=0.00x mean=0.800x 2025-09-07T07:43:00.4444266Z graph_breaks gmean=0.00x mean=0.000x 2025-09-07T07:43:00.4447988Z unique_graph_breaks gmean=0.00x mean=0.000x 2025-09-07T07:43:00.4451615Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T07:43:00.4455307Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T07:43:00.4459038Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T07:43:00.4460480Z compilation_latency mean=19.014 seconds 2025-09-07T07:43:00.8964634Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *freezing_cudagraphs-true* ]] 2025-09-07T07:43:00.8965789Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *freeze_autotune_cudagraphs-true* ]] 2025-09-07T07:43:00.8966863Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *aotinductor-true* ]] 2025-09-07T07:43:00.8967506Z + [[ inference == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T07:43:00.8967765Z + [[ accuracy == \a\c\c\u\r\a\c\y ]] 2025-09-07T07:43:00.8969099Z + 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 0 --output /var/lib/jenkins/workspace/test/test-reports/inductor_export_torchbench_bfloat16_inference_cpu_aarch64_accuracy.csv 2025-09-07T07:43:01.2348766Z /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. 2025-09-07T07:43:01.2349934Z import pynvml # type: ignore[import] 2025-09-07T07:43:04.1907696Z /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. 2025-09-07T07:43:04.1908902Z import pynvml # type: ignore[import] 2025-09-07T07:43:06.7836237Z 2025-09-07T07:43:08.7378808Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:43:08.7379091Z loading model: 0it [00:01, ?it/s] 2025-09-07T07:43:08.7519473Z cpu eval BERT_pytorch 2025-09-07T07:43:09.4548727Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:43:09.6480398Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:43:09.8374571Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:43:10.0726533Z ERROR:common: 2025-09-07T07:43:10.0726741Z Traceback (most recent call last): 2025-09-07T07:43:10.0727210Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 2320, in check_accuracy 2025-09-07T07:43:10.0727689Z optimized_model_iter_fn = optimize_ctx( 2025-09-07T07:43:10.0728156Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1523, in export 2025-09-07T07:43:10.0728613Z ep = torch.export.export( 2025-09-07T07:43:10.0729086Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py", line 311, in export 2025-09-07T07:43:10.0729561Z raise e 2025-09-07T07:43:10.0729975Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py", line 277, in export 2025-09-07T07:43:10.0730451Z return _export( 2025-09-07T07:43:10.0730905Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_trace.py", line 1163, in wrapper 2025-09-07T07:43:10.0731372Z raise e 2025-09-07T07:43:10.0731771Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_trace.py", line 1129, in wrapper 2025-09-07T07:43:10.0732260Z ep = fn(*args, **kwargs) 2025-09-07T07:43:10.0732756Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/exported_program.py", line 124, in wrapper 2025-09-07T07:43:10.0733293Z return fn(*args, **kwargs) 2025-09-07T07:43:10.0733754Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_trace.py", line 2255, in _export 2025-09-07T07:43:10.0734238Z ep = _export_for_training( 2025-09-07T07:43:10.0735031Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_trace.py", line 1163, in wrapper 2025-09-07T07:43:10.0735531Z raise e 2025-09-07T07:43:10.0735937Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_trace.py", line 1129, in wrapper 2025-09-07T07:43:10.0736411Z ep = fn(*args, **kwargs) 2025-09-07T07:43:10.0736901Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/exported_program.py", line 124, in wrapper 2025-09-07T07:43:10.0737420Z return fn(*args, **kwargs) 2025-09-07T07:43:10.0737928Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_trace.py", line 2071, in _export_for_training 2025-09-07T07:43:10.0738467Z export_artifact = export_func( 2025-09-07T07:43:10.0739138Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_trace.py", line 1415, in _strict_export 2025-09-07T07:43:10.0739663Z gm_torch_level = _export_to_torch_ir( 2025-09-07T07:43:10.0740195Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_trace.py", line 812, in _export_to_torch_ir 2025-09-07T07:43:10.0740742Z gm_torch_level, _ = torch._dynamo.export( 2025-09-07T07:43:10.0741250Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 2002, in inner 2025-09-07T07:43:10.0741756Z result_traced = opt_f(*args, **kwargs) 2025-09-07T07:43:10.0742264Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 414, in __call__ 2025-09-07T07:43:10.0742775Z return super().__call__(*args, **kwargs) 2025-09-07T07:43:10.0752543Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T07:43:10.0753285Z return self._call_impl(*args, **kwargs) 2025-09-07T07:43:10.0753823Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T07:43:10.0754346Z return forward_call(*args, **kwargs) 2025-09-07T07:43:10.0754924Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 832, in compile_wrapper 2025-09-07T07:43:10.0755450Z return fn(*args, **kwargs) 2025-09-07T07:43:10.0755973Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T07:43:10.0756532Z return self._call_impl(*args, **kwargs) 2025-09-07T07:43:10.0757053Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T07:43:10.0757570Z return forward_call(*args, **kwargs) 2025-09-07T07:43:10.0758092Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1875, in __call__ 2025-09-07T07:43:10.0758630Z result = self._torchdynamo_orig_backend( 2025-09-07T07:43:10.0759157Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 688, in __call__ 2025-09-07T07:43:10.0759666Z result = _compile( 2025-09-07T07:43:10.0760129Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1433, in _compile 2025-09-07T07:43:10.0760744Z guarded_code, tracer_output = compile_inner(code, one_graph, hooks) 2025-09-07T07:43:10.0761358Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_utils_internal.py", line 92, in wrapper_function 2025-09-07T07:43:10.0761876Z return function(*args, **kwargs) 2025-09-07T07:43:10.0762400Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1117, in compile_inner 2025-09-07T07:43:10.0762961Z return _compile_inner(code, one_graph, hooks) 2025-09-07T07:43:10.0763536Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1151, in _compile_inner 2025-09-07T07:43:10.0764193Z dynamo_output = compile_frame( 2025-09-07T07:43:10.0764959Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1032, in compile_frame 2025-09-07T07:43:10.0765588Z bytecode, tracer_output = transform_code_object(code, transform) 2025-09-07T07:43:10.0766291Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/bytecode_transformation.py", line 1592, in transform_code_object 2025-09-07T07:43:10.0766976Z tracer_output = transformations(instructions, code_options) 2025-09-07T07:43:10.0767570Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1004, in transform 2025-09-07T07:43:10.0768095Z tracer_output = trace_frame( 2025-09-07T07:43:10.0768568Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 312, in _fn 2025-09-07T07:43:10.0769205Z return fn(*args, **kwargs) 2025-09-07T07:43:10.0769700Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 815, in trace_frame 2025-09-07T07:43:10.0770206Z run_tracer() 2025-09-07T07:43:10.0770658Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 797, in run_tracer 2025-09-07T07:43:10.0771161Z tracer.run() 2025-09-07T07:43:10.0771604Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1487, in run 2025-09-07T07:43:10.0772109Z while self.step(): 2025-09-07T07:43:10.0772573Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1348, in step 2025-09-07T07:43:10.0773115Z self.dispatch_table[inst.opcode](self, inst) 2025-09-07T07:43:10.0773665Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 904, in wrapper 2025-09-07T07:43:10.0774187Z return inner_fn(self, inst) 2025-09-07T07:43:10.0774710Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 2320, in CALL_FUNCTION 2025-09-07T07:43:10.0775262Z self.call_function(fn, args, {}) 2025-09-07T07:43:10.0775804Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1266, in call_function 2025-09-07T07:43:10.0776468Z self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] 2025-09-07T07:43:10.0777144Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/lazy.py", line 212, in realize_and_forward 2025-09-07T07:43:10.0777755Z return getattr(self.realize(), name)(*args, **kwargs) 2025-09-07T07:43:10.0778356Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/nn_module.py", line 528, in call_function 2025-09-07T07:43:10.0778931Z return tx.inline_user_function_return( 2025-09-07T07:43:10.0779537Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1288, in inline_user_function_return 2025-09-07T07:43:10.0780276Z return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) 2025-09-07T07:43:10.0780962Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 4112, in inline_call 2025-09-07T07:43:10.0781505Z return tracer.inline_call_() 2025-09-07T07:43:10.0782035Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 4315, in inline_call_ 2025-09-07T07:43:10.0782563Z self.run() 2025-09-07T07:43:10.0783004Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1487, in run 2025-09-07T07:43:10.0783506Z while self.step(): 2025-09-07T07:43:10.0783967Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1348, in step 2025-09-07T07:43:10.0784517Z self.dispatch_table[inst.opcode](self, inst) 2025-09-07T07:43:10.0785068Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 904, in wrapper 2025-09-07T07:43:10.0785706Z return inner_fn(self, inst) 2025-09-07T07:43:10.0786257Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 2371, in CALL_FUNCTION_EX 2025-09-07T07:43:10.0786866Z self.call_function(fn, argsvars.items, kwargsvars) 2025-09-07T07:43:10.0787463Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1266, in call_function 2025-09-07T07:43:10.0788123Z self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] 2025-09-07T07:43:10.0788796Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/functions.py", line 1154, in call_function 2025-09-07T07:43:10.0789384Z return super().call_function(tx, args, kwargs) 2025-09-07T07:43:10.0790062Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/functions.py", line 598, in call_function 2025-09-07T07:43:10.0790649Z return super().call_function(tx, args, kwargs) 2025-09-07T07:43:10.0791239Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/functions.py", line 342, in call_function 2025-09-07T07:43:10.0791921Z return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs) 2025-09-07T07:43:10.0792649Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1288, in inline_user_function_return 2025-09-07T07:43:10.0793386Z return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) 2025-09-07T07:43:10.0794063Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 4112, in inline_call 2025-09-07T07:43:10.0794607Z return tracer.inline_call_() 2025-09-07T07:43:10.0795142Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 4315, in inline_call_ 2025-09-07T07:43:10.0795665Z self.run() 2025-09-07T07:43:10.0796106Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1487, in run 2025-09-07T07:43:10.0796609Z while self.step(): 2025-09-07T07:43:10.0797071Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1348, in step 2025-09-07T07:43:10.0797610Z self.dispatch_table[inst.opcode](self, inst) 2025-09-07T07:43:10.0798160Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 904, in wrapper 2025-09-07T07:43:10.0798681Z return inner_fn(self, inst) 2025-09-07T07:43:10.0799205Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 2320, in CALL_FUNCTION 2025-09-07T07:43:10.0799765Z self.call_function(fn, args, {}) 2025-09-07T07:43:10.0800306Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1266, in call_function 2025-09-07T07:43:10.0800966Z self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] 2025-09-07T07:43:10.0801648Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/functions.py", line 1154, in call_function 2025-09-07T07:43:10.0802243Z return super().call_function(tx, args, kwargs) 2025-09-07T07:43:10.0802829Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/functions.py", line 598, in call_function 2025-09-07T07:43:10.0803416Z return super().call_function(tx, args, kwargs) 2025-09-07T07:43:10.0804005Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/functions.py", line 342, in call_function 2025-09-07T07:43:10.0804692Z return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs) 2025-09-07T07:43:10.0805432Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1288, in inline_user_function_return 2025-09-07T07:43:10.0806168Z return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) 2025-09-07T07:43:10.0806971Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 4112, in inline_call 2025-09-07T07:43:10.0807532Z return tracer.inline_call_() 2025-09-07T07:43:10.0808063Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 4315, in inline_call_ 2025-09-07T07:43:10.0808591Z self.run() 2025-09-07T07:43:10.0809027Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1487, in run 2025-09-07T07:43:10.0809528Z while self.step(): 2025-09-07T07:43:10.0809991Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1348, in step 2025-09-07T07:43:10.0810613Z self.dispatch_table[inst.opcode](self, inst) 2025-09-07T07:43:10.0811167Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 904, in wrapper 2025-09-07T07:43:10.0811681Z return inner_fn(self, inst) 2025-09-07T07:43:10.0812210Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 2320, in CALL_FUNCTION 2025-09-07T07:43:10.0812763Z self.call_function(fn, args, {}) 2025-09-07T07:43:10.0813306Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1266, in call_function 2025-09-07T07:43:10.0813958Z self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] 2025-09-07T07:43:10.0814631Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/functions.py", line 1154, in call_function 2025-09-07T07:43:10.0815224Z return super().call_function(tx, args, kwargs) 2025-09-07T07:43:10.0815817Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/functions.py", line 598, in call_function 2025-09-07T07:43:10.0816398Z return super().call_function(tx, args, kwargs) 2025-09-07T07:43:10.0816983Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/functions.py", line 342, in call_function 2025-09-07T07:43:10.0817667Z return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs) 2025-09-07T07:43:10.0818397Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1288, in inline_user_function_return 2025-09-07T07:43:10.0819132Z return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) 2025-09-07T07:43:10.0819808Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 4112, in inline_call 2025-09-07T07:43:10.0820347Z return tracer.inline_call_() 2025-09-07T07:43:10.0820872Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 4315, in inline_call_ 2025-09-07T07:43:10.0821408Z self.run() 2025-09-07T07:43:10.0821849Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1487, in run 2025-09-07T07:43:10.0822357Z while self.step(): 2025-09-07T07:43:10.0822819Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1348, in step 2025-09-07T07:43:10.0823371Z self.dispatch_table[inst.opcode](self, inst) 2025-09-07T07:43:10.0823936Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 2448, in STORE_ATTR 2025-09-07T07:43:10.0824472Z assert not self.export, ( 2025-09-07T07:43:10.0824791Z AssertionError: Mutating module attribute mask during export. 2025-09-07T07:43:10.0825065Z 2025-09-07T07:43:10.0825134Z from user code: 2025-09-07T07:43:10.0825607Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:43:10.0826150Z x = self.bert(x, segment_label) 2025-09-07T07:43:10.0826657Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T07:43:10.0827302Z return forward_call(*args, **kwargs) 2025-09-07T07:43:10.0827804Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:43:10.0828307Z x = transformer.forward(x, mask) 2025-09-07T07:43:10.0828821Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 47, in forward 2025-09-07T07:43:10.0829345Z self.lambda_module.set_mask(mask) 2025-09-07T07:43:10.0829865Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 16, in set_mask 2025-09-07T07:43:10.0830377Z self.mask = mask 2025-09-07T07:43:10.0830505Z 2025-09-07T07:43:10.0831037Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-09-07T07:43:10.0831768Z 2025-09-07T07:43:10.0831965Z TorchDynamo optimized model failed to run because of following error 2025-09-07T07:43:10.1019705Z fail_to_run 2025-09-07T07:43:10.1020379Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:43:11.1625418Z /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. 2025-09-07T07:43:11.1626650Z import pynvml # type: ignore[import] 2025-09-07T07:43:13.7544215Z 2025-09-07T07:43:15.8895095Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:43:15.8895385Z loading model: 0it [00:02, ?it/s] 2025-09-07T07:43:15.8961168Z cpu eval Background_Matting 2025-09-07T07:43:15.9260957Z pass_due_to_skip 2025-09-07T07:43:15.9262088Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:43:17.0841282Z /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. 2025-09-07T07:43:17.0842452Z import pynvml # type: ignore[import] 2025-09-07T07:43:19.6786602Z 2025-09-07T07:43:22.0623936Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:43:22.0624230Z loading model: 0it [00:02, ?it/s] 2025-09-07T07:43:22.0657929Z cpu eval LearningToPaint 2025-09-07T07:43:22.1814160Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:43:22.2152159Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:43:22.2465590Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:43:23.8978368Z pass 2025-09-07T07:43:23.8978873Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:43:25.0546740Z /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. 2025-09-07T07:43:25.0547916Z import pynvml # type: ignore[import] 2025-09-07T07:43:27.6216311Z 2025-09-07T07:43:28.8257532Z loading model: 0it [00:00, ?it/s]WARNING:common:Model Super_SloMo does not support bfloat16, running with amp instead 2025-09-07T07:43:29.6850615Z 2025-09-07T07:43:29.6850864Z loading model: 0it [00:02, ?it/s] 2025-09-07T07:43:29.6851697Z WARNING:common:Model Super_SloMo does not support bfloat16, running with amp instead 2025-09-07T07:43:29.6852152Z cpu eval Super_SloMo 2025-09-07T07:43:51.0004580Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:43:51.0005277Z WARNING:common:Model Super_SloMo does not support bfloat16, running with amp instead 2025-09-07T07:43:52.5517717Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:43:54.1038065Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:43:58.8979253Z pass 2025-09-07T07:43:58.8979704Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:00.5125724Z /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. 2025-09-07T07:44:00.5127194Z import pynvml # type: ignore[import] 2025-09-07T07:44:03.1083123Z 2025-09-07T07:44:03.7340560Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:44:03.7340874Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:44:03.7367082Z cpu eval alexnet 2025-09-07T07:44:03.8537344Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:03.8746083Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:03.8937932Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:04.9838746Z pass 2025-09-07T07:44:04.9839237Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:05.7039792Z accuracy pass_rate=60.00% 2025-09-07T07:44:05.7045086Z calls_captured gmean=0.00x mean=93.400x 2025-09-07T07:44:05.7049064Z unique_graphs gmean=0.00x mean=0.600x 2025-09-07T07:44:05.7052912Z graph_breaks gmean=0.00x mean=0.000x 2025-09-07T07:44:05.7056748Z unique_graph_breaks gmean=0.00x mean=0.000x 2025-09-07T07:44:05.7060435Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T07:44:05.7064171Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T07:44:05.7068010Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T07:44:05.7069355Z compilation_latency mean=0.823 seconds 2025-09-07T07:44:06.1646913Z + 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 0 --output /var/lib/jenkins/workspace/test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cpu_aarch64_accuracy.csv 2025-09-07T07:44:06.5020097Z /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. 2025-09-07T07:44:06.5021271Z import pynvml # type: ignore[import] 2025-09-07T07:44:09.4488574Z /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. 2025-09-07T07:44:09.4489736Z import pynvml # type: ignore[import] 2025-09-07T07:44:12.0600962Z 2025-09-07T07:44:14.0155692Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:44:14.0155985Z loading model: 0it [00:01, ?it/s] 2025-09-07T07:44:14.0298051Z cpu eval BERT_pytorch 2025-09-07T07:44:14.7358218Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:14.9317214Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:15.1239071Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:36.7825881Z pass 2025-09-07T07:44:36.7827098Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:38.4958708Z /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. 2025-09-07T07:44:38.4959863Z import pynvml # type: ignore[import] 2025-09-07T07:44:41.1073240Z 2025-09-07T07:44:43.2525436Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:44:43.2526138Z loading model: 0it [00:02, ?it/s] 2025-09-07T07:44:43.2590764Z cpu eval Background_Matting 2025-09-07T07:44:43.2891652Z pass_due_to_skip 2025-09-07T07:44:43.2892088Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:44.4171539Z /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. 2025-09-07T07:44:44.4172712Z import pynvml # type: ignore[import] 2025-09-07T07:44:47.0212482Z 2025-09-07T07:44:49.4548865Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:44:49.4549139Z loading model: 0it [00:02, ?it/s] 2025-09-07T07:44:49.4583101Z cpu eval LearningToPaint 2025-09-07T07:44:49.5736265Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:49.6075821Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:49.6389884Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:57.9923766Z pass 2025-09-07T07:44:57.9924996Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:44:59.5487085Z /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. 2025-09-07T07:44:59.5488263Z import pynvml # type: ignore[import] 2025-09-07T07:45:02.1475711Z 2025-09-07T07:45:03.3875461Z loading model: 0it [00:00, ?it/s]WARNING:common:Model Super_SloMo does not support bfloat16, running with amp instead 2025-09-07T07:45:04.2600968Z 2025-09-07T07:45:04.2601157Z loading model: 0it [00:02, ?it/s] 2025-09-07T07:45:04.2602240Z WARNING:common:Model Super_SloMo does not support bfloat16, running with amp instead 2025-09-07T07:45:04.2602704Z cpu eval Super_SloMo 2025-09-07T07:45:25.7656718Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:45:25.7657371Z WARNING:common:Model Super_SloMo does not support bfloat16, running with amp instead 2025-09-07T07:45:27.3352477Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:45:28.9010822Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:46:07.2384082Z pass 2025-09-07T07:46:07.2385160Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:46:09.6911260Z /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. 2025-09-07T07:46:09.6912460Z import pynvml # type: ignore[import] 2025-09-07T07:46:12.2767753Z 2025-09-07T07:46:12.8872040Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:46:12.8872338Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:46:12.8897653Z cpu eval alexnet 2025-09-07T07:46:13.0056908Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:46:13.0262349Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:46:13.0452080Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:46:20.9306234Z pass 2025-09-07T07:46:20.9307448Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:46:21.9910887Z accuracy pass_rate=80.00% 2025-09-07T07:46:21.9916115Z calls_captured gmean=0.00x mean=0.000x 2025-09-07T07:46:21.9920038Z unique_graphs gmean=0.00x mean=0.000x 2025-09-07T07:46:21.9924106Z graph_breaks gmean=0.00x mean=0.000x 2025-09-07T07:46:21.9927760Z unique_graph_breaks gmean=0.00x mean=0.000x 2025-09-07T07:46:21.9931450Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T07:46:21.9935131Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T07:46:21.9938725Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T07:46:21.9939897Z compilation_latency mean=0.000 seconds 2025-09-07T07:46:22.4538164Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *maxautotune-true* ]] 2025-09-07T07:46:22.4539275Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *cudagraphs_low_precision-true* ]] 2025-09-07T07:46:22.4540002Z + for target in "${targets[@]}" 2025-09-07T07:46:22.4540264Z + target_flag=('--performance') 2025-09-07T07:46:22.4540494Z + local target_flag 2025-09-07T07:46:22.4540712Z + [[ performance == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T07:46:22.4540999Z + target_flag+=(--cold-start-latency) 2025-09-07T07:46:22.4541635Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *freezing-true* ]] 2025-09-07T07:46:22.4542609Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true == *default-true* ]] 2025-09-07T07:46:22.4544351Z + 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 0 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cpu_aarch64_performance.csv 2025-09-07T07:46:22.7927615Z /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. 2025-09-07T07:46:22.7928801Z import pynvml # type: ignore[import] 2025-09-07T07:46:25.7599129Z /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. 2025-09-07T07:46:25.7600295Z import pynvml # type: ignore[import] 2025-09-07T07:46:28.3647245Z 2025-09-07T07:46:30.3531934Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:46:30.3532236Z loading model: 0it [00:01, ?it/s] 2025-09-07T07:46:30.3659422Z cpu eval BERT_pytorch 2025-09-07T07:46:47.9778242Z 2025-09-07T07:46:48.0854214Z running benchmark: 0% 0/30 [00:00 0).unsqueeze(1).repeat(1, x.size(1), 1).unsqueeze(1) 2025-09-07T07:50:50.6140941Z 2025-09-07T07:50:50.6141080Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6141617Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6142079Z return mod(*inputs) 2025-09-07T07:50:50.6142825Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6143381Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6143862Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 47, in forward 2025-09-07T07:50:50.6144363Z x = self.embedding(x, segment_info) 2025-09-07T07:50:50.6144895Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/embedding/bert.py", line 32, in forward 2025-09-07T07:50:50.6145551Z x = self.token(sequence) + self.position(sequence) + self.segment(segment_label) 2025-09-07T07:50:50.6145869Z 2025-09-07T07:50:50.6146132Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6146650Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6147297Z return mod(*inputs) 2025-09-07T07:50:50.6147783Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6148318Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6148797Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6149296Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6149815Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6150363Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6150915Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6151504Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6152085Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6152664Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6153287Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:50:50.6153837Z query, key, value = [ 2025-09-07T07:50:50.6154370Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:50:50.6155008Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:50:50.6155251Z 2025-09-07T07:50:50.6155391Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6155913Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6156373Z return mod(*inputs) 2025-09-07T07:50:50.6156853Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6157398Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6157878Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6158376Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6158903Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6159459Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6160013Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6160608Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6161183Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6161763Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6162385Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:50:50.6162939Z query, key, value = [ 2025-09-07T07:50:50.6163598Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:50:50.6164342Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:50:50.6164586Z 2025-09-07T07:50:50.6164721Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6165236Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6165699Z return mod(*inputs) 2025-09-07T07:50:50.6166178Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6166709Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6167186Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6167839Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6168358Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6168902Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6169463Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6170049Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6170620Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6171191Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6171801Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6172446Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6173086Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:50:50.6173754Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:50:50.6174069Z 2025-09-07T07:50:50.6174215Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6174730Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6175193Z return mod(*inputs) 2025-09-07T07:50:50.6175673Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6176210Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6176685Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6177187Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6177704Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6178261Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6178817Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6179412Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6179996Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6180582Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6181193Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6181848Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6182482Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:50:50.6183206Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:50:50.6183525Z 2025-09-07T07:50:50.6183658Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6184358Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6184887Z return mod(*inputs) 2025-09-07T07:50:50.6185370Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6185901Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6186379Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6186873Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6187387Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6187933Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6188584Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6189172Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6189754Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6190334Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6190935Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6191589Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6192215Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:50:50.6192883Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:50:50.6193198Z 2025-09-07T07:50:50.6193343Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6193857Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6194322Z return mod(*inputs) 2025-09-07T07:50:50.6194806Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6195339Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6195809Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6196305Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6196817Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6197363Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6197917Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6198503Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6199072Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6199646Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6200259Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:50:50.6200809Z query, key, value = [ 2025-09-07T07:50:50.6201332Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:50:50.6201957Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:50:50.6202200Z 2025-09-07T07:50:50.6202337Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6202849Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6203307Z return mod(*inputs) 2025-09-07T07:50:50.6203789Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6204324Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6204958Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6205469Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6205980Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6206527Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6207086Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6207672Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6208239Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6208911Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6209521Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6210166Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6210798Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:50:50.6211353Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:50:50.6211556Z 2025-09-07T07:50:50.6211690Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6212205Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6212666Z return mod(*inputs) 2025-09-07T07:50:50.6213145Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6213673Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6214153Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6214648Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6215166Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6215708Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6216261Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6216844Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6217413Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6217987Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6218593Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6219244Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6219873Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:50:50.6220436Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:50:50.6220637Z 2025-09-07T07:50:50.6220777Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6221292Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6221751Z return mod(*inputs) 2025-09-07T07:50:50.6222228Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6222759Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6223231Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6223725Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6224243Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6224789Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6225464Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6226057Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6226633Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6227208Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6227817Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T07:50:50.6228471Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T07:50:50.6228753Z 2025-09-07T07:50:50.6228887Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6229484Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6229945Z return mod(*inputs) 2025-09-07T07:50:50.6230428Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6230956Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6231437Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6231933Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6232446Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6232993Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6233547Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6234142Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6234713Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6235288Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6235897Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-09-07T07:50:50.6236454Z return self.output_linear(x) 2025-09-07T07:50:50.6236622Z 2025-09-07T07:50:50.6236757Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6237273Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6237732Z return mod(*inputs) 2025-09-07T07:50:50.6238211Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6238740Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6239220Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6239716Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6240229Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.6240779Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.6241335Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6241920Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6242518Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:50:50.6243129Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:50:50.6243386Z 2025-09-07T07:50:50.6243521Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6244037Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6244501Z return mod(*inputs) 2025-09-07T07:50:50.6244979Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6246659Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6247186Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6247682Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6248192Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.6248737Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.6249292Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6249873Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6250570Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:50:50.6251181Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:50:50.6251431Z 2025-09-07T07:50:50.6251567Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6252082Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6252540Z return mod(*inputs) 2025-09-07T07:50:50.6253018Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6253552Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6254024Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6254520Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6255032Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.6255581Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.6256134Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6256723Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6257323Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:50:50.6257939Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:50:50.6258188Z 2025-09-07T07:50:50.6258326Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6258838Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6259298Z return mod(*inputs) 2025-09-07T07:50:50.6259774Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6260309Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6260784Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6261277Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6261798Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6262346Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6262910Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6263490Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6264163Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6264747Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6265360Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:50:50.6265915Z query, key, value = [ 2025-09-07T07:50:50.6266438Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:50:50.6267263Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:50:50.6267514Z 2025-09-07T07:50:50.6267652Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6268168Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6268626Z return mod(*inputs) 2025-09-07T07:50:50.6269101Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6269635Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6270112Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6270606Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6271279Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6271825Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6272384Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6272969Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6273539Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6274108Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6274719Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:50:50.6275265Z query, key, value = [ 2025-09-07T07:50:50.6275791Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:50:50.6276417Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:50:50.6276660Z 2025-09-07T07:50:50.6276794Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6277312Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6277774Z return mod(*inputs) 2025-09-07T07:50:50.6278253Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6278780Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6279254Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6279749Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6280263Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6280812Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6281372Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6281960Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6282535Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6283112Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6283717Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6284359Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6284989Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:50:50.6285657Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:50:50.6285974Z 2025-09-07T07:50:50.6286113Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6286622Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6287081Z return mod(*inputs) 2025-09-07T07:50:50.6287684Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6288226Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6288701Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6289195Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6289707Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6290251Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6290804Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6291474Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6292047Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6292621Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6293237Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6293884Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6294508Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:50:50.6295172Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:50:50.6295487Z 2025-09-07T07:50:50.6295623Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6296139Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6296600Z return mod(*inputs) 2025-09-07T07:50:50.6297075Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6297603Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6298083Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6298580Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6299091Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6299635Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6300189Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6300775Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6301349Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6301926Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6302537Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6303186Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6303817Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:50:50.6304483Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:50:50.6304795Z 2025-09-07T07:50:50.6304930Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6305443Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6305903Z return mod(*inputs) 2025-09-07T07:50:50.6306384Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6306920Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6307398Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6308021Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6308542Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6309089Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6309639Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6310227Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6310795Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6311369Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6312081Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:50:50.6312633Z query, key, value = [ 2025-09-07T07:50:50.6313167Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:50:50.6313791Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:50:50.6314028Z 2025-09-07T07:50:50.6314162Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6314676Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6315135Z return mod(*inputs) 2025-09-07T07:50:50.6315613Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6316139Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6316615Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6317120Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6317632Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6318180Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6318736Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6319325Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6319897Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6320473Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6321084Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6321730Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6322370Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:50:50.6322932Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:50:50.6323135Z 2025-09-07T07:50:50.6323278Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6323794Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6324252Z return mod(*inputs) 2025-09-07T07:50:50.6324736Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6325269Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6325748Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6326240Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6326754Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6327311Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6327870Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6328579Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6329164Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6329738Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6330344Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6330990Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6331615Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:50:50.6332249Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:50:50.6332455Z 2025-09-07T07:50:50.6332593Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6333110Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6333578Z return mod(*inputs) 2025-09-07T07:50:50.6334059Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6334589Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6335065Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6335559Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6336068Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6336613Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6337165Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6337757Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6338331Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6338907Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6339517Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T07:50:50.6340171Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T07:50:50.6340452Z 2025-09-07T07:50:50.6340591Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6341108Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6341565Z return mod(*inputs) 2025-09-07T07:50:50.6342047Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6342585Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6343059Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6343558Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6344078Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6344623Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6345182Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6345770Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6346340Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6346916Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6347531Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-09-07T07:50:50.6348086Z return self.output_linear(x) 2025-09-07T07:50:50.6348252Z 2025-09-07T07:50:50.6348391Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6349034Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6349512Z return mod(*inputs) 2025-09-07T07:50:50.6349993Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6350521Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6350994Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6351489Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6352003Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.6352654Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.6353208Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6353793Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6354389Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:50:50.6355001Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:50:50.6355252Z 2025-09-07T07:50:50.6355394Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6355909Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6356361Z return mod(*inputs) 2025-09-07T07:50:50.6356841Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6357378Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6357853Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6358345Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6358862Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.6359408Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.6359962Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6360550Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6361146Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:50:50.6361763Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:50:50.6362016Z 2025-09-07T07:50:50.6362152Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6362677Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6363136Z return mod(*inputs) 2025-09-07T07:50:50.6363618Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6364236Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6364714Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6365209Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6365723Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.6366271Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.6366826Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6367413Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6368020Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:50:50.6368633Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:50:50.6368890Z 2025-09-07T07:50:50.6369215Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6369743Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6370202Z return mod(*inputs) 2025-09-07T07:50:50.6370679Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6371209Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6371683Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6372178Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6372690Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.6373355Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.6373918Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6374507Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6374744Z 2025-09-07T07:50:50.6374881Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6375394Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6375856Z return mod(*inputs) 2025-09-07T07:50:50.6376962Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6377491Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6377962Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6378458Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6378968Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6379513Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6380074Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6380662Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6381231Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6381803Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6382416Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:50:50.6382963Z query, key, value = [ 2025-09-07T07:50:50.6383488Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:50:50.6384123Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:50:50.6384366Z 2025-09-07T07:50:50.6384501Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6385022Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6385482Z return mod(*inputs) 2025-09-07T07:50:50.6385957Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6386493Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6386975Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6387473Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6387984Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6388537Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6389098Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6389688Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6390388Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6390982Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6391593Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:50:50.6392142Z query, key, value = [ 2025-09-07T07:50:50.6392670Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:50:50.6393296Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:50:50.6393533Z 2025-09-07T07:50:50.6393748Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6394267Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6394729Z return mod(*inputs) 2025-09-07T07:50:50.6395214Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6395746Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6396218Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6396715Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6397228Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6397777Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6398331Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6398924Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6399498Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6400075Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6400690Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6401335Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6401967Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:50:50.6402636Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:50:50.6402950Z 2025-09-07T07:50:50.6403088Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6403600Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6404059Z return mod(*inputs) 2025-09-07T07:50:50.6404538Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6405071Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6405555Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6406049Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6406564Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6407113Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6407673Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6408260Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6408840Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6409425Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6410036Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6410810Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6411447Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:50:50.6412113Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:50:50.6412432Z 2025-09-07T07:50:50.6412567Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6413082Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6413539Z return mod(*inputs) 2025-09-07T07:50:50.6414014Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6414626Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6415102Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6415601Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6416112Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6416656Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6417211Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6417797Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6418367Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6418942Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6419548Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6420195Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6420833Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:50:50.6421503Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:50:50.6421815Z 2025-09-07T07:50:50.6421955Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6422468Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6422925Z return mod(*inputs) 2025-09-07T07:50:50.6423409Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6423943Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6424424Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6424924Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6425436Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6425988Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6426543Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6427128Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6427699Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6428273Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6428879Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:50:50.6429425Z query, key, value = [ 2025-09-07T07:50:50.6429954Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:50:50.6430585Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:50:50.6430825Z 2025-09-07T07:50:50.6431113Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6431637Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6432094Z return mod(*inputs) 2025-09-07T07:50:50.6432575Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6433107Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6433581Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6434071Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6434582Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6435214Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6435771Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6436360Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6436927Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6437501Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6438108Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6438753Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6439380Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:50:50.6439941Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:50:50.6440148Z 2025-09-07T07:50:50.6440284Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6440800Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6441262Z return mod(*inputs) 2025-09-07T07:50:50.6441740Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6442271Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6442748Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6443246Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6443764Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6444311Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6444872Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6445460Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6446034Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6446612Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6447210Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6447856Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6448488Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:50:50.6449051Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:50:50.6449255Z 2025-09-07T07:50:50.6449394Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6449912Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6450373Z return mod(*inputs) 2025-09-07T07:50:50.6450856Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6451495Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6451977Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6452473Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6452984Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6453528Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6454081Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6454664Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6455320Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6455892Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6456505Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T07:50:50.6457155Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T07:50:50.6457441Z 2025-09-07T07:50:50.6457577Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6458092Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6458548Z return mod(*inputs) 2025-09-07T07:50:50.6459028Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6459557Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6460039Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6460534Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6461046Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6461596Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6462149Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6462734Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6463303Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6463960Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6464568Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-09-07T07:50:50.6465129Z return self.output_linear(x) 2025-09-07T07:50:50.6465298Z 2025-09-07T07:50:50.6465433Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6465951Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6466415Z return mod(*inputs) 2025-09-07T07:50:50.6466891Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6467424Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6467902Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6468398Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6468908Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.6469454Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.6470008Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6470600Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6471200Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:50:50.6472009Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:50:50.6472278Z 2025-09-07T07:50:50.6472415Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6472933Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6473395Z return mod(*inputs) 2025-09-07T07:50:50.6473876Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6474405Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6474882Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6475519Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6476038Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.6476580Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.6477139Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6477724Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6478322Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:50:50.6478935Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:50:50.6479184Z 2025-09-07T07:50:50.6479317Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6479830Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6480294Z return mod(*inputs) 2025-09-07T07:50:50.6480774Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6481304Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6481781Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6482276Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6482790Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.6483337Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.6483891Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6484476Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6485078Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:50:50.6485699Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:50:50.6485950Z 2025-09-07T07:50:50.6486089Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6486603Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6487062Z return mod(*inputs) 2025-09-07T07:50:50.6487542Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6488076Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6488547Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6489043Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6489555Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6490101Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6490664Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6491249Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6491949Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6492535Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6493146Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:50:50.6493696Z query, key, value = [ 2025-09-07T07:50:50.6494220Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:50:50.6494850Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:50:50.6495093Z 2025-09-07T07:50:50.6495226Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6495836Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6496291Z return mod(*inputs) 2025-09-07T07:50:50.6496775Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6497305Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6497779Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6498273Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6498783Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6499329Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6499884Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6500468Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6501039Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6501611Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6502220Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:50:50.6502763Z query, key, value = [ 2025-09-07T07:50:50.6503289Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:50:50.6503909Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:50:50.6504152Z 2025-09-07T07:50:50.6504287Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6504801Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6505258Z return mod(*inputs) 2025-09-07T07:50:50.6505735Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6506271Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6506745Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6507255Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6507772Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6508315Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6508871Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6509461Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6510036Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6510609Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6511218Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6511860Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6512633Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:50:50.6513310Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:50:50.6513621Z 2025-09-07T07:50:50.6526649Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6527284Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6527754Z return mod(*inputs) 2025-09-07T07:50:50.6528243Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6528783Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6529427Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6529925Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6530444Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6530994Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6531548Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6532135Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6532708Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6533278Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6533885Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6534538Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6535167Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:50:50.6535837Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:50:50.6536150Z 2025-09-07T07:50:50.6536288Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6536808Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6537271Z return mod(*inputs) 2025-09-07T07:50:50.6537748Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6538282Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6538754Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6539256Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6539767Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6540308Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6540863Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6541451Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6542022Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6542595Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6543206Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6543847Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6544479Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:50:50.6545153Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:50:50.6545468Z 2025-09-07T07:50:50.6545734Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6546259Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6546712Z return mod(*inputs) 2025-09-07T07:50:50.6547191Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6547718Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6548191Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6548682Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6549193Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6549823Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6550376Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6550964Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6551531Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6552103Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6552706Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:50:50.6553251Z query, key, value = [ 2025-09-07T07:50:50.6553772Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:50:50.6554401Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:50:50.6554650Z 2025-09-07T07:50:50.6554786Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6555299Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6555755Z return mod(*inputs) 2025-09-07T07:50:50.6556233Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6556763Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6557235Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6557729Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6558242Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6558785Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6559339Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6559928Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6560502Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6561076Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6561686Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6562333Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6562962Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:50:50.6563519Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:50:50.6563721Z 2025-09-07T07:50:50.6563854Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6564465Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6564934Z return mod(*inputs) 2025-09-07T07:50:50.6565411Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6565940Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6566606Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6567118Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6567634Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6568181Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6568728Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6569313Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6569884Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6570611Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6571214Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6571859Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6572487Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:50:50.6573045Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:50:50.6573246Z 2025-09-07T07:50:50.6573384Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6573896Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6574353Z return mod(*inputs) 2025-09-07T07:50:50.6574830Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6575363Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6575837Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6576324Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6576837Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6577381Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6577934Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6578517Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6579081Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6579654Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6580262Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T07:50:50.6580920Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T07:50:50.6581204Z 2025-09-07T07:50:50.6581340Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6581855Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6582313Z return mod(*inputs) 2025-09-07T07:50:50.6582790Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6583320Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6583790Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6584283Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6584796Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6585345Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6585898Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6586601Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6587185Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6587760Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6588365Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-09-07T07:50:50.6588923Z return self.output_linear(x) 2025-09-07T07:50:50.6589085Z 2025-09-07T07:50:50.6589218Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6589735Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6590262Z return mod(*inputs) 2025-09-07T07:50:50.6590740Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6591267Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6591745Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6592241Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6592751Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.6593295Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.6593844Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6594430Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6595024Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:50:50.6595644Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:50:50.6595896Z 2025-09-07T07:50:50.6596031Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6596545Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6597005Z return mod(*inputs) 2025-09-07T07:50:50.6597481Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6598011Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6598483Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6598975Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6599484Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.6600025Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.6600578Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6601166Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6601766Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:50:50.6602379Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:50:50.6602628Z 2025-09-07T07:50:50.6602764Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6603274Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6603734Z return mod(*inputs) 2025-09-07T07:50:50.6604211Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6604744Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6605219Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6605715Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6606227Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.6606889Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.6607451Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6608036Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6608632Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:50:50.6609246Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:50:50.6609496Z 2025-09-07T07:50:50.6609635Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6610152Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6610693Z return mod(*inputs) 2025-09-07T07:50:50.6611172Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6611701Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6612182Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6612672Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6613185Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.6613729Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.6614282Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6614864Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6615104Z 2025-09-07T07:50:50.6615242Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6615757Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6616212Z return mod(*inputs) 2025-09-07T07:50:50.6616692Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6617214Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6617688Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6618176Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6618687Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6619232Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6619783Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6620374Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6620945Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6621520Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6622132Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:50:50.6622674Z query, key, value = [ 2025-09-07T07:50:50.6623199Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:50:50.6623827Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:50:50.6624065Z 2025-09-07T07:50:50.6624203Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6624713Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6625181Z return mod(*inputs) 2025-09-07T07:50:50.6625662Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6626191Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6626786Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6627284Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6627794Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6628341Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6628896Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6629474Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6630043Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6630703Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6631313Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:50:50.6631858Z query, key, value = [ 2025-09-07T07:50:50.6632383Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:50:50.6633012Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:50:50.6633254Z 2025-09-07T07:50:50.6633387Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6633903Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6634361Z return mod(*inputs) 2025-09-07T07:50:50.6634833Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6635363Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6635843Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6636336Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6636846Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6637395Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6637949Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6638533Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6639102Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6639672Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6640283Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6640939Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6641566Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:50:50.6642234Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:50:50.6642549Z 2025-09-07T07:50:50.6642684Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6643198Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6643659Z return mod(*inputs) 2025-09-07T07:50:50.6644142Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6644667Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6645146Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6645646Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6646162Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6646707Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6647371Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6647970Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6648547Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6649124Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6649730Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6650369Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6650999Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:50:50.6651783Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:50:50.6652096Z 2025-09-07T07:50:50.6652235Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6652753Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6653206Z return mod(*inputs) 2025-09-07T07:50:50.6653684Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6654216Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6654685Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6655174Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6655683Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6656232Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6656785Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6657371Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6657937Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6658512Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6659120Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6659763Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6660390Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:50:50.6661055Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:50:50.6661373Z 2025-09-07T07:50:50.6661506Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6662021Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6662481Z return mod(*inputs) 2025-09-07T07:50:50.6662956Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6663488Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6664056Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6664557Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6665064Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6665607Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6666159Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6666744Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6667312Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6668064Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6668680Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:50:50.6669224Z query, key, value = [ 2025-09-07T07:50:50.6669753Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:50:50.6670379Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:50:50.6670617Z 2025-09-07T07:50:50.6670750Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6671264Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6671842Z return mod(*inputs) 2025-09-07T07:50:50.6672321Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6672858Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6673329Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6673820Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6674333Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6674877Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6675429Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6676014Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6676585Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6677165Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6677777Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6678421Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6679049Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:50:50.6679610Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:50:50.6679810Z 2025-09-07T07:50:50.6679947Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6680464Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6680916Z return mod(*inputs) 2025-09-07T07:50:50.6681395Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6681931Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6682406Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6682904Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6683415Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6683958Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6684510Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6685093Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6685660Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6686236Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6686852Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6687498Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6688258Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:50:50.6688834Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:50:50.6689040Z 2025-09-07T07:50:50.6689173Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6689693Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6690148Z return mod(*inputs) 2025-09-07T07:50:50.6690625Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6691152Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6691625Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6692210Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6692724Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6693270Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6693822Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6694406Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6694977Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6695547Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6696155Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T07:50:50.6696807Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T07:50:50.6697095Z 2025-09-07T07:50:50.6697234Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6697751Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6698209Z return mod(*inputs) 2025-09-07T07:50:50.6698686Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6699214Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6699691Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6700184Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6700690Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6701237Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6701792Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6702377Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6702946Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6703520Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6704132Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-09-07T07:50:50.6704688Z return self.output_linear(x) 2025-09-07T07:50:50.6704852Z 2025-09-07T07:50:50.6704999Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6705516Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6705975Z return mod(*inputs) 2025-09-07T07:50:50.6706458Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6706995Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6707472Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6707966Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6708605Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.6709162Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.6709717Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6710303Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6710903Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:50:50.6711515Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:50:50.6711767Z 2025-09-07T07:50:50.6711988Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6712506Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6712965Z return mod(*inputs) 2025-09-07T07:50:50.6713445Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6713974Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6714445Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6714941Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6715452Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.6715996Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.6716548Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6717136Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6717735Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:50:50.6718349Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:50:50.6718603Z 2025-09-07T07:50:50.6718741Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6719249Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6719705Z return mod(*inputs) 2025-09-07T07:50:50.6720181Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6720707Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6721180Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6721669Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6722185Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.6722729Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.6723285Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6723865Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6724466Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:50:50.6725078Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:50:50.6725329Z 2025-09-07T07:50:50.6725466Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6725981Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6726435Z return mod(*inputs) 2025-09-07T07:50:50.6726915Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6727453Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6727928Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6728565Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6729091Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6729637Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6730195Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6730778Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6731342Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6731917Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6732609Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:50:50.6733154Z query, key, value = [ 2025-09-07T07:50:50.6733683Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:50:50.6734304Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:50:50.6734546Z 2025-09-07T07:50:50.6734680Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6735195Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6735647Z return mod(*inputs) 2025-09-07T07:50:50.6736120Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6736648Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6737120Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6737620Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6738130Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6738674Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6739231Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6739813Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6740381Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6740954Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6741556Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:50:50.6742103Z query, key, value = [ 2025-09-07T07:50:50.6742633Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:50:50.6743257Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:50:50.6743495Z 2025-09-07T07:50:50.6743632Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6744146Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6744604Z return mod(*inputs) 2025-09-07T07:50:50.6745083Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6745612Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6745920Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6746011Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6746352Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6746469Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6746820Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6747077Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6747421Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6747563Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6747935Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6748112Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6748469Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:50:50.6748683Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:50:50.6748764Z 2025-09-07T07:50:50.6748904Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6749192Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6749273Z return mod(*inputs) 2025-09-07T07:50:50.6749619Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6749709Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6750013Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6750103Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6750442Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6750554Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6750907Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6751047Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6751388Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6751528Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6751898Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6752074Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6752429Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:50:50.6752645Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:50:50.6752650Z 2025-09-07T07:50:50.6752786Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6753076Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6753155Z return mod(*inputs) 2025-09-07T07:50:50.6753503Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6753590Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6753898Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6753987Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6754324Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6754435Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6754783Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6754924Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6755262Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6755404Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6755859Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6756043Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6756399Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:50:50.6756616Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:50:50.6756621Z 2025-09-07T07:50:50.6756754Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6757043Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6757191Z return mod(*inputs) 2025-09-07T07:50:50.6757539Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6757627Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6757938Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6758030Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6758364Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6758476Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6758823Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6758963Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6759299Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6759444Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6759816Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:50:50.6759896Z query, key, value = [ 2025-09-07T07:50:50.6760288Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:50:50.6760434Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:50:50.6760439Z 2025-09-07T07:50:50.6760571Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6760859Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6760933Z return mod(*inputs) 2025-09-07T07:50:50.6761283Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6761374Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6761682Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6761774Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6762112Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6762224Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6762572Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6762714Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6763050Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6763191Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6763561Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6763742Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6764190Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:50:50.6764468Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:50:50.6764474Z 2025-09-07T07:50:50.6764617Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6764906Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6764981Z return mod(*inputs) 2025-09-07T07:50:50.6765325Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6765412Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6765718Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6765916Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6766249Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6766362Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6766714Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6766855Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6767190Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6767329Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6767699Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6767875Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6768231Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:50:50.6768343Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:50:50.6768348Z 2025-09-07T07:50:50.6768481Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6768775Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6768849Z return mod(*inputs) 2025-09-07T07:50:50.6769195Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6769283Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6769590Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6769682Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6770015Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6770132Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6770480Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6770622Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6770962Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6771104Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6771476Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T07:50:50.6771660Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T07:50:50.6771665Z 2025-09-07T07:50:50.6771798Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6772088Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6772166Z return mod(*inputs) 2025-09-07T07:50:50.6772515Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6772602Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6773007Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6773106Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6773439Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6773553Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6773897Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6774037Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6774374Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6774587Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6774961Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-09-07T07:50:50.6775048Z return self.output_linear(x) 2025-09-07T07:50:50.6775057Z 2025-09-07T07:50:50.6775196Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6775482Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6775556Z return mod(*inputs) 2025-09-07T07:50:50.6775905Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6775991Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6776302Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6776390Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6776727Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.6776841Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.6777190Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6777334Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6777698Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:50:50.6777850Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:50:50.6777858Z 2025-09-07T07:50:50.6777992Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6778275Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6778353Z return mod(*inputs) 2025-09-07T07:50:50.6778700Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6778792Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6779099Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6779193Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6779533Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.6779644Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.6779990Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6780130Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6780494Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:50:50.6780650Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:50:50.6780659Z 2025-09-07T07:50:50.6780794Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6781082Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6781156Z return mod(*inputs) 2025-09-07T07:50:50.6781588Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6781682Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6781992Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6782084Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6782419Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.6782531Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.6782877Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6783100Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6783468Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:50:50.6783628Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:50:50.6783633Z 2025-09-07T07:50:50.6783772Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6784058Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6784131Z return mod(*inputs) 2025-09-07T07:50:50.6784481Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6784564Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6784872Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6784964Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6785300Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.6785411Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.6785762Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6785905Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6785910Z 2025-09-07T07:50:50.6786044Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6786330Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6786404Z return mod(*inputs) 2025-09-07T07:50:50.6786749Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6786836Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6787145Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6787236Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6787574Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6787685Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6788033Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6788171Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6788505Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6788644Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6789016Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:50:50.6789097Z query, key, value = [ 2025-09-07T07:50:50.6789481Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:50:50.6789625Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:50:50.6789630Z 2025-09-07T07:50:50.6789849Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6790156Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6790230Z return mod(*inputs) 2025-09-07T07:50:50.6790579Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6790667Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6790973Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6791066Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6791477Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6791588Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6791939Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6792079Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6792413Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6792553Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6792929Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:50:50.6793012Z query, key, value = [ 2025-09-07T07:50:50.6793399Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:50:50.6793547Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:50:50.6793551Z 2025-09-07T07:50:50.6793687Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6793978Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6794055Z return mod(*inputs) 2025-09-07T07:50:50.6794402Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6794489Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6794796Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6794889Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6795222Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6795335Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6795686Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6795828Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6796170Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6796310Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6796686Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6796862Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6797216Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:50:50.6797431Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:50:50.6797437Z 2025-09-07T07:50:50.6797571Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6797862Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6797937Z return mod(*inputs) 2025-09-07T07:50:50.6798376Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6798467Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6798775Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6798867Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6799201Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6799317Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6799662Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6799803Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6800228Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6800368Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6800746Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6800919Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6801276Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:50:50.6801492Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:50:50.6801497Z 2025-09-07T07:50:50.6801630Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6801920Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6801998Z return mod(*inputs) 2025-09-07T07:50:50.6802346Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6802431Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6802741Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6802836Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6803169Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6803285Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6803630Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6803769Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6804104Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6804247Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6804622Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6804801Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6805159Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:50:50.6805373Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:50:50.6805378Z 2025-09-07T07:50:50.6805512Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6805801Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6805875Z return mod(*inputs) 2025-09-07T07:50:50.6806225Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6806313Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6806620Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6806714Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6807162Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6807282Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6807628Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6807768Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6808103Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6808242Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6808617Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:50:50.6808764Z query, key, value = [ 2025-09-07T07:50:50.6809153Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:50:50.6809298Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:50:50.6809303Z 2025-09-07T07:50:50.6809437Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6809725Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6809798Z return mod(*inputs) 2025-09-07T07:50:50.6810146Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6810230Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6810535Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6810631Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6810965Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6811079Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6811430Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6811574Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6811908Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6812048Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6812423Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6812595Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6812958Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:50:50.6813066Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:50:50.6813070Z 2025-09-07T07:50:50.6813205Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6813498Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6813575Z return mod(*inputs) 2025-09-07T07:50:50.6813922Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6814005Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6814310Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6814404Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6814737Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6814855Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6815200Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6815345Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6815766Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6815915Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6816292Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6816465Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6816824Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:50:50.6816932Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:50:50.6817011Z 2025-09-07T07:50:50.6817148Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6817440Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6817515Z return mod(*inputs) 2025-09-07T07:50:50.6817869Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6817954Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6818262Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6818352Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6818683Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6818799Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6819145Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6819293Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6819626Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6819769Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6820149Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T07:50:50.6820335Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T07:50:50.6820339Z 2025-09-07T07:50:50.6820474Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6820761Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6820836Z return mod(*inputs) 2025-09-07T07:50:50.6821185Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6821274Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6821582Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6821674Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6822017Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6822130Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6822474Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6822618Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6822950Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6823095Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6823466Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-09-07T07:50:50.6823555Z return self.output_linear(x) 2025-09-07T07:50:50.6823559Z 2025-09-07T07:50:50.6823698Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6824078Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6824165Z return mod(*inputs) 2025-09-07T07:50:50.6824513Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6824598Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6824909Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6824998Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6825335Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.6825448Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.6825876Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6826018Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6826385Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:50:50.6826543Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:50:50.6826547Z 2025-09-07T07:50:50.6826682Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6826971Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6827045Z return mod(*inputs) 2025-09-07T07:50:50.6827390Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6827477Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6827786Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6827880Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6828217Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.6828333Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.6828676Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6828816Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6829180Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:50:50.6829332Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:50:50.6829337Z 2025-09-07T07:50:50.6829473Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6829762Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6829836Z return mod(*inputs) 2025-09-07T07:50:50.6830183Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6830271Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6830581Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6830670Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6831004Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.6831121Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.6831465Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6831610Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6831976Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:50:50.6832132Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:50:50.6832137Z 2025-09-07T07:50:50.6832365Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6832666Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6832743Z return mod(*inputs) 2025-09-07T07:50:50.6833088Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6833175Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6833479Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6833568Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6833906Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6834120Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6834471Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6834617Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6834950Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6835092Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6835467Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:50:50.6835547Z query, key, value = [ 2025-09-07T07:50:50.6835935Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:50:50.6836080Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:50:50.6836090Z 2025-09-07T07:50:50.6836225Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6836511Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6836587Z return mod(*inputs) 2025-09-07T07:50:50.6836935Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6837024Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6837329Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6837420Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6837756Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6837868Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6838217Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6838361Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6838700Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6838845Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6839217Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:50:50.6839295Z query, key, value = [ 2025-09-07T07:50:50.6839679Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:50:50.6839823Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:50:50.6839828Z 2025-09-07T07:50:50.6839965Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6840251Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6840334Z return mod(*inputs) 2025-09-07T07:50:50.6840681Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6840772Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6841171Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6841268Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6841607Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6841719Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6842068Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6842209Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6842546Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6842759Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6843132Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6843313Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6843672Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:50:50.6843888Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:50:50.6843893Z 2025-09-07T07:50:50.6844028Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6844312Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6844388Z return mod(*inputs) 2025-09-07T07:50:50.6844733Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6844825Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6845136Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6845230Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6845568Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6845679Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6846027Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6846166Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6846502Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6846644Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6847020Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6847199Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6847558Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:50:50.6847771Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:50:50.6847776Z 2025-09-07T07:50:50.6847911Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6848197Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6848271Z return mod(*inputs) 2025-09-07T07:50:50.6848616Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6848703Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6849007Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6849103Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6849436Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6849636Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6849992Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6850132Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6850468Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6850608Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6850978Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6851157Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6851594Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:50:50.6851810Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:50:50.6851819Z 2025-09-07T07:50:50.6851952Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6852242Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6852316Z return mod(*inputs) 2025-09-07T07:50:50.6852664Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6852751Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6853057Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6853152Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6853490Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6853602Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6853953Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6854095Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6854432Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6854571Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6854942Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:50:50.6855023Z query, key, value = [ 2025-09-07T07:50:50.6855411Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:50:50.6855560Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:50:50.6855565Z 2025-09-07T07:50:50.6855699Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6855995Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6856071Z return mod(*inputs) 2025-09-07T07:50:50.6856417Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6856508Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6856814Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6856908Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6857243Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6857354Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6857707Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6857848Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6858283Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6858431Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6858807Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6858981Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6859337Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:50:50.6859446Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:50:50.6859450Z 2025-09-07T07:50:50.6859585Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6859951Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6860025Z return mod(*inputs) 2025-09-07T07:50:50.6860375Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6860466Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6860773Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6860866Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6861201Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6861312Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6861660Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6861800Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6862142Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6862283Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6862662Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6862835Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6863191Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:50:50.6863301Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:50:50.6863306Z 2025-09-07T07:50:50.6863440Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6863730Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6863804Z return mod(*inputs) 2025-09-07T07:50:50.6864241Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6864332Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6864646Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6864737Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6865072Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6865186Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6865533Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6865672Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6866010Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6866157Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6866535Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T07:50:50.6866718Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T07:50:50.6866903Z 2025-09-07T07:50:50.6867048Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6867338Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6867412Z return mod(*inputs) 2025-09-07T07:50:50.6867766Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6867850Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6868157Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6868250Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6868700Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6868817Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6869165Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6869310Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6869644Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6869782Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6870160Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-09-07T07:50:50.6870246Z return self.output_linear(x) 2025-09-07T07:50:50.6870251Z 2025-09-07T07:50:50.6870386Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6870675Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6870749Z return mod(*inputs) 2025-09-07T07:50:50.6871095Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6871183Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6871493Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6871582Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6871913Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.6872029Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.6872374Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6872519Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6872888Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:50:50.6873048Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:50:50.6873052Z 2025-09-07T07:50:50.6873189Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6873477Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6873555Z return mod(*inputs) 2025-09-07T07:50:50.6873900Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6873989Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6874294Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6874385Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6874723Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.6874849Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.6875200Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6875433Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6875807Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:50:50.6875962Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:50:50.6875967Z 2025-09-07T07:50:50.6876101Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6876392Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6876467Z return mod(*inputs) 2025-09-07T07:50:50.6876813Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6876965Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6877273Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6877366Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6877703Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.6877819Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.6878167Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6878305Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6878668Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:50:50.6878821Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:50:50.6878825Z 2025-09-07T07:50:50.6878962Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6879251Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6879329Z return mod(*inputs) 2025-09-07T07:50:50.6879679Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6879765Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6880079Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6880169Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6880507Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.6880618Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.6880962Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6881112Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6881117Z 2025-09-07T07:50:50.6881252Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6881545Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6881624Z return mod(*inputs) 2025-09-07T07:50:50.6881970Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6882061Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6882370Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6882464Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6882802Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6882918Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6883263Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6883410Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6883748Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6883985Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6884378Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:50:50.6884457Z query, key, value = [ 2025-09-07T07:50:50.6884844Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:50:50.6884991Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:50:50.6884996Z 2025-09-07T07:50:50.6885130Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6885420Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6885572Z return mod(*inputs) 2025-09-07T07:50:50.6885923Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6886013Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6886318Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6886411Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6886746Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6886863Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6887208Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6887352Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6887689Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6887833Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6888215Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:50:50.6888291Z query, key, value = [ 2025-09-07T07:50:50.6888677Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:50:50.6888821Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:50:50.6888826Z 2025-09-07T07:50:50.6888960Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6889249Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6889322Z return mod(*inputs) 2025-09-07T07:50:50.6889671Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6889762Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6890068Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6890160Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6904452Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6904627Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6905000Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6905150Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6905493Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6905642Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6906028Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6906207Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6906741Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:50:50.6906973Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:50:50.6906980Z 2025-09-07T07:50:50.6907123Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6907417Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6907494Z return mod(*inputs) 2025-09-07T07:50:50.6907843Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6907931Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6908238Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6908414Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6908752Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6908869Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6909221Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6909364Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6909707Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6909846Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6910223Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6910398Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6910759Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:50:50.6910977Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:50:50.6910985Z 2025-09-07T07:50:50.6911124Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6911415Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6911489Z return mod(*inputs) 2025-09-07T07:50:50.6911837Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6911923Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6912228Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6912321Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6912659Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6912772Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6913126Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6913268Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6913603Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6913744Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6914116Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6914291Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6914648Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:50:50.6914870Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:50:50.6914875Z 2025-09-07T07:50:50.6915011Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6915419Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6915499Z return mod(*inputs) 2025-09-07T07:50:50.6915847Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6915933Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6916245Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6916337Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6916673Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6916864Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6917216Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6917358Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6917697Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6917836Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6918210Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:50:50.6918291Z query, key, value = [ 2025-09-07T07:50:50.6918678Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:50:50.6918825Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:50:50.6918830Z 2025-09-07T07:50:50.6918965Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6919258Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6919330Z return mod(*inputs) 2025-09-07T07:50:50.6919679Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6919767Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6920072Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6920162Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6920494Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6920604Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6920951Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6921096Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6921433Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6921573Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6921949Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6922126Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6922484Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:50:50.6922594Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:50:50.6922599Z 2025-09-07T07:50:50.6922732Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6923028Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6923111Z return mod(*inputs) 2025-09-07T07:50:50.6923461Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6923549Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6923942Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6924041Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6924375Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6924486Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6924834Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6924974Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6925310Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6925519Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6925895Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6926071Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6926426Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:50:50.6926536Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:50:50.6926541Z 2025-09-07T07:50:50.6926677Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6926967Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6927042Z return mod(*inputs) 2025-09-07T07:50:50.6927390Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6927482Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6927788Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6927877Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6928216Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6928328Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6928676Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6928816Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6929153Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6929292Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6929669Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T07:50:50.6929859Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T07:50:50.6929864Z 2025-09-07T07:50:50.6929999Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6930294Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6930367Z return mod(*inputs) 2025-09-07T07:50:50.6930714Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6930798Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6931104Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6931197Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6931531Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6931644Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6931995Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6932138Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6932567Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6932715Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6933097Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-09-07T07:50:50.6933185Z return self.output_linear(x) 2025-09-07T07:50:50.6933190Z 2025-09-07T07:50:50.6933328Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6933615Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6933688Z return mod(*inputs) 2025-09-07T07:50:50.6934112Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6934195Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6934504Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6934597Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6934933Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.6935048Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.6935395Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6935539Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6935903Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:50:50.6936060Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:50:50.6936069Z 2025-09-07T07:50:50.6936203Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6936489Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6936572Z return mod(*inputs) 2025-09-07T07:50:50.6936919Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6937007Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6937315Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6937404Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6937744Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.6937855Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.6938203Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6938348Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6938714Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:50:50.6938872Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:50:50.6938877Z 2025-09-07T07:50:50.6939011Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6939302Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6939376Z return mod(*inputs) 2025-09-07T07:50:50.6939724Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6939808Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6940116Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6940213Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6940550Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.6940663Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.6941105Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6941253Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6941623Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:50:50.6941777Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:50:50.6941782Z 2025-09-07T07:50:50.6941919Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6942208Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6942391Z return mod(*inputs) 2025-09-07T07:50:50.6942741Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6942824Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6943141Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6943230Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6943569Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6943681Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6944024Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6944169Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6944503Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6944650Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6945023Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:50:50.6945100Z query, key, value = [ 2025-09-07T07:50:50.6945496Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:50:50.6945638Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:50:50.6945643Z 2025-09-07T07:50:50.6945781Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6946068Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6946145Z return mod(*inputs) 2025-09-07T07:50:50.6946493Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6946582Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6946893Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6946982Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6947324Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6947435Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6947780Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6947923Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6948259Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6948403Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6948778Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:50:50.6948861Z query, key, value = [ 2025-09-07T07:50:50.6949250Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:50:50.6949486Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:50:50.6949492Z 2025-09-07T07:50:50.6949637Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6949923Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6950000Z return mod(*inputs) 2025-09-07T07:50:50.6950348Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6950433Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6950742Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6950829Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6951243Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6951356Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6951709Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6951852Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6952185Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6952329Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6952707Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6952885Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6953243Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:50:50.6953459Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:50:50.6953464Z 2025-09-07T07:50:50.6953603Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6953891Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6953969Z return mod(*inputs) 2025-09-07T07:50:50.6954314Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6954397Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6954707Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6954795Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6955136Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6955252Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6955599Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6955743Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6956083Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6956232Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6956606Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6956786Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6957144Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:50:50.6957356Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:50:50.6957365Z 2025-09-07T07:50:50.6957504Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6957790Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6957866Z return mod(*inputs) 2025-09-07T07:50:50.6958315Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6958405Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6958719Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6958807Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6959146Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6959257Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6959604Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6959858Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6960197Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6960347Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6960717Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6960893Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6961248Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:50:50.6961462Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:50:50.6961469Z 2025-09-07T07:50:50.6961607Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6961900Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6961976Z return mod(*inputs) 2025-09-07T07:50:50.6962322Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6962412Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6962718Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6962807Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6963145Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6963256Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6963605Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6963745Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6964166Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6964313Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6964688Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:50:50.6964767Z query, key, value = [ 2025-09-07T07:50:50.6965157Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:50:50.6965299Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:50:50.6965307Z 2025-09-07T07:50:50.6965442Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6965730Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6965807Z return mod(*inputs) 2025-09-07T07:50:50.6966153Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6966244Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6966548Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6966800Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6967148Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6967260Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6967608Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6967750Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6968086Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6968227Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6968709Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6968887Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6969246Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:50:50.6969354Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:50:50.6969359Z 2025-09-07T07:50:50.6969493Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6969780Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6969859Z return mod(*inputs) 2025-09-07T07:50:50.6970205Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6970293Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6970598Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6970691Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6971029Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6971142Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6971491Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6971630Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6971962Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6972104Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6972476Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.6972651Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.6973010Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:50:50.6973117Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:50:50.6973122Z 2025-09-07T07:50:50.6973263Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6973550Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6973628Z return mod(*inputs) 2025-09-07T07:50:50.6973972Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6974061Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6974366Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6974455Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6974795Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6974912Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6975259Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6975492Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6975835Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6975979Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6976349Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T07:50:50.6976534Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T07:50:50.6976539Z 2025-09-07T07:50:50.6976673Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6977065Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6977137Z return mod(*inputs) 2025-09-07T07:50:50.6977481Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6977573Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6977879Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6977970Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6978303Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6978416Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6978767Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6978908Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6979251Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6979392Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6979769Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-09-07T07:50:50.6979856Z return self.output_linear(x) 2025-09-07T07:50:50.6979861Z 2025-09-07T07:50:50.6979996Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6980287Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6980360Z return mod(*inputs) 2025-09-07T07:50:50.6980709Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6980793Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6981098Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6981196Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6981531Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.6981645Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.6981992Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6982135Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6982501Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:50:50.6982656Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:50:50.6982660Z 2025-09-07T07:50:50.6982796Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6983080Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6983165Z return mod(*inputs) 2025-09-07T07:50:50.6983509Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6983593Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6984003Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6984100Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6984439Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.6984551Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.6984895Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6985039Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6985403Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:50:50.6985639Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:50:50.6985643Z 2025-09-07T07:50:50.6985777Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6986073Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6986148Z return mod(*inputs) 2025-09-07T07:50:50.6986491Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6986579Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6986885Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6986979Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6987312Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.6987430Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.6987780Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6987923Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6988291Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:50:50.6988444Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:50:50.6988449Z 2025-09-07T07:50:50.6988587Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6988874Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6988952Z return mod(*inputs) 2025-09-07T07:50:50.6989299Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6989383Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6989700Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6989789Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6990127Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.6990243Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.6990586Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6990729Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6990734Z 2025-09-07T07:50:50.6990866Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6991157Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6991233Z return mod(*inputs) 2025-09-07T07:50:50.6991580Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6991669Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6991977Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6992069Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6992495Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6992617Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6992962Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6993102Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6993442Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6993583Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6993959Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:50:50.6994096Z query, key, value = [ 2025-09-07T07:50:50.6994482Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:50:50.6994632Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:50:50.6994637Z 2025-09-07T07:50:50.6994777Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6995067Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6995140Z return mod(*inputs) 2025-09-07T07:50:50.6995490Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6995575Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6995881Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6995976Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.6996308Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.6996422Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.6996771Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.6996912Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.6997248Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.6997389Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.6997766Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:50:50.6997842Z query, key, value = [ 2025-09-07T07:50:50.6998228Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:50:50.6998375Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:50:50.6998380Z 2025-09-07T07:50:50.6998514Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.6998810Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.6998884Z return mod(*inputs) 2025-09-07T07:50:50.6999231Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.6999317Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.6999623Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.6999717Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.7000051Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.7000171Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.7000518Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.7000657Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.7001073Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.7001217Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.7001595Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.7001769Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.7002139Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:50:50.7002354Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:50:50.7002420Z 2025-09-07T07:50:50.7002559Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.7002852Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.7002927Z return mod(*inputs) 2025-09-07T07:50:50.7003284Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.7003369Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.7003678Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.7003772Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.7004107Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.7004223Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.7004568Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.7004712Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.7005052Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.7005196Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.7005571Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.7005744Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.7006102Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:50:50.7006314Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:50:50.7006319Z 2025-09-07T07:50:50.7006454Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.7006749Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.7006822Z return mod(*inputs) 2025-09-07T07:50:50.7007170Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.7007258Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.7007569Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.7007662Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.7007997Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.7008115Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.7008462Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.7008606Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.7008944Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.7009085Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.7009574Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.7009754Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.7010118Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:50:50.7010329Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:50:50.7010333Z 2025-09-07T07:50:50.7010468Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.7010758Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.7010831Z return mod(*inputs) 2025-09-07T07:50:50.7011245Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.7011329Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.7011644Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.7011735Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.7012069Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.7012185Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.7012532Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.7012675Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.7013009Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.7013147Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.7013527Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:50:50.7013602Z query, key, value = [ 2025-09-07T07:50:50.7013994Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:50:50.7014137Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:50:50.7014142Z 2025-09-07T07:50:50.7014278Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.7014565Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.7014638Z return mod(*inputs) 2025-09-07T07:50:50.7014986Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.7015071Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.7015385Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.7015474Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.7015809Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.7015929Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.7016273Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.7016415Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.7016748Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.7016888Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.7017264Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.7017443Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.7017802Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:50:50.7017911Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:50:50.7017991Z 2025-09-07T07:50:50.7018136Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.7018424Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.7018499Z return mod(*inputs) 2025-09-07T07:50:50.7018849Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.7018933Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.7019244Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.7019333Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.7019734Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.7019849Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.7020198Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.7020342Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.7020673Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.7020812Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.7021187Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.7021361Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.7021720Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:50:50.7021831Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:50:50.7021836Z 2025-09-07T07:50:50.7021974Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.7022266Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.7022341Z return mod(*inputs) 2025-09-07T07:50:50.7022692Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.7022776Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.7023087Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.7023176Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.7023510Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.7023625Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.7023975Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.7024118Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.7024456Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.7024596Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.7024973Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T07:50:50.7025155Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T07:50:50.7025160Z 2025-09-07T07:50:50.7025299Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.7025587Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.7025663Z return mod(*inputs) 2025-09-07T07:50:50.7026017Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.7026101Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.7026411Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.7026596Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.7026938Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.7027050Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.7027394Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.7027539Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.7027872Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.7028014Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.7028488Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-09-07T07:50:50.7028577Z return self.output_linear(x) 2025-09-07T07:50:50.7028583Z 2025-09-07T07:50:50.7028723Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.7029018Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.7029096Z return mod(*inputs) 2025-09-07T07:50:50.7029454Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.7029543Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.7029858Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.7029947Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.7030295Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.7030417Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.7030776Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.7030925Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.7031301Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:50:50.7031461Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:50:50.7031465Z 2025-09-07T07:50:50.7031602Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.7031905Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.7031980Z return mod(*inputs) 2025-09-07T07:50:50.7032339Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.7032431Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.7032747Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.7032846Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.7033193Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.7033313Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.7033670Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.7033815Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.7034196Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:50:50.7034352Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:50:50.7034357Z 2025-09-07T07:50:50.7034501Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.7034797Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.7034877Z return mod(*inputs) 2025-09-07T07:50:50.7035324Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.7035418Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.7035742Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.7035833Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.7036180Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.7036295Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.7036647Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.7036863Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.7037229Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:50:50.7037392Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:50:50.7037397Z 2025-09-07T07:50:50.7037536Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.7037824Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.7037901Z return mod(*inputs) 2025-09-07T07:50:50.7038249Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.7038337Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.7038647Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.7038740Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.7039080Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.7039192Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.7039548Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.7039690Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.7040027Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.7040171Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.7040545Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:50:50.7040624Z query, key, value = [ 2025-09-07T07:50:50.7041014Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:50:50.7041165Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:50:50.7041170Z 2025-09-07T07:50:50.7041305Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.7041598Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.7041674Z return mod(*inputs) 2025-09-07T07:50:50.7042022Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.7042110Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.7042417Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.7042510Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.7042844Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.7042956Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.7043311Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.7043450Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.7043871Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.7044018Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.7044394Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:50:50.7044477Z query, key, value = [ 2025-09-07T07:50:50.7044867Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:50:50.7045013Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:50:50.7045017Z 2025-09-07T07:50:50.7045158Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.7045511Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.7045587Z return mod(*inputs) 2025-09-07T07:50:50.7045932Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.7046026Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.7046332Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.7046427Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.7046762Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.7046872Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.7047223Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.7047366Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.7047709Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.7047852Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.7048232Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.7048413Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.7048772Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:50:50.7048991Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:50:50.7048995Z 2025-09-07T07:50:50.7049130Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.7049421Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.7049501Z return mod(*inputs) 2025-09-07T07:50:50.7049847Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.7049940Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.7050251Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.7050343Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.7050676Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.7050787Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.7051135Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.7051275Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.7051614Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.7051757Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.7052134Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.7052375Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.7052746Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:50:50.7052965Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:50:50.7052969Z 2025-09-07T07:50:50.7053105Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.7053393Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.7053467Z return mod(*inputs) 2025-09-07T07:50:50.7053822Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.7053960Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.7054264Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.7054358Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.7054695Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.7054809Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.7055157Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.7055301Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.7055638Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.7055778Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.7056154Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.7056334Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.7056692Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T07:50:50.7056913Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T07:50:50.7056918Z 2025-09-07T07:50:50.7057054Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.7057343Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.7057418Z return mod(*inputs) 2025-09-07T07:50:50.7057764Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.7057852Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.7058156Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.7058255Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.7058589Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.7058702Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.7059052Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.7059192Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.7059529Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.7059670Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.7060048Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward 2025-09-07T07:50:50.7060126Z query, key, value = [ 2025-09-07T07:50:50.7060514Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in 2025-09-07T07:50:50.7060661Z l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2) 2025-09-07T07:50:50.7060666Z 2025-09-07T07:50:50.7060803Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.7061225Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.7061316Z return mod(*inputs) 2025-09-07T07:50:50.7061674Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.7061767Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.7062082Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.7062179Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.7062522Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.7062713Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.7063060Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.7063204Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.7063544Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.7063685Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.7064187Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.7064364Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.7064720Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:50:50.7064830Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:50:50.7064838Z 2025-09-07T07:50:50.7064974Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.7065267Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.7065341Z return mod(*inputs) 2025-09-07T07:50:50.7065699Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.7065785Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.7066092Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.7066184Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.7066520Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.7066635Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.7066982Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.7067127Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.7067465Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.7067608Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.7067983Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T07:50:50.7068157Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T07:50:50.7068528Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T07:50:50.7068641Z return torch.matmul(p_attn, value), p_attn 2025-09-07T07:50:50.7068645Z 2025-09-07T07:50:50.7068781Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.7069069Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.7069153Z return mod(*inputs) 2025-09-07T07:50:50.7069504Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.7069597Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.7070121Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.7070223Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.7070563Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.7070677Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.7071029Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.7071170Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.7071510Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.7071794Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.7072170Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T07:50:50.7072362Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T07:50:50.7072367Z 2025-09-07T07:50:50.7072503Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.7072798Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.7072873Z return mod(*inputs) 2025-09-07T07:50:50.7073221Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.7073310Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.7073619Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.7073717Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.7074056Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T07:50:50.7074168Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T07:50:50.7074522Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.7074663Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.7075005Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T07:50:50.7075146Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T07:50:50.7075524Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward 2025-09-07T07:50:50.7075612Z return self.output_linear(x) 2025-09-07T07:50:50.7075617Z 2025-09-07T07:50:50.7075755Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.7076048Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.7076125Z return mod(*inputs) 2025-09-07T07:50:50.7076478Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.7076565Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.7076868Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.7076960Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.7077295Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.7077411Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.7077758Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.7077905Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.7078272Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:50:50.7078521Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:50:50.7078527Z 2025-09-07T07:50:50.7078668Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.7078955Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.7079034Z return mod(*inputs) 2025-09-07T07:50:50.7079376Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.7079460Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.7079771Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.7079861Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.7080280Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.7080395Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.7080746Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.7080887Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.7081255Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:50:50.7081413Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:50:50.7081418Z 2025-09-07T07:50:50.7081554Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.7081844Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.7081919Z return mod(*inputs) 2025-09-07T07:50:50.7082263Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.7082355Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.7082661Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.7082756Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.7083089Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.7083200Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.7083547Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.7083685Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.7084054Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward 2025-09-07T07:50:50.7084207Z return self.w_2(self.dropout(self.activation(self.w_1(x)))) 2025-09-07T07:50:50.7084217Z 2025-09-07T07:50:50.7084352Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.7084641Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.7084720Z return mod(*inputs) 2025-09-07T07:50:50.7085067Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T07:50:50.7085152Z x = self.bert(x, segment_label) 2025-09-07T07:50:50.7085462Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T07:50:50.7085556Z x = transformer.forward(x, mask) 2025-09-07T07:50:50.7085893Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T07:50:50.7086010Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T07:50:50.7086357Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T07:50:50.7086507Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T07:50:50.7086512Z 2025-09-07T07:50:50.7086646Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.7087030Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.7087117Z return mod(*inputs) 2025-09-07T07:50:50.7087462Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 25, in forward 2025-09-07T07:50:50.7087580Z return self.next_sentence(x), self.mask_lm(x) 2025-09-07T07:50:50.7087923Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 42, in forward 2025-09-07T07:50:50.7088028Z return self.softmax(self.linear(x[:, 0])) 2025-09-07T07:50:50.7088036Z 2025-09-07T07:50:50.7088169Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:50:50.7088525Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:50.7088605Z return mod(*inputs) 2025-09-07T07:50:50.7088948Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 25, in forward 2025-09-07T07:50:50.7089069Z return self.next_sentence(x), self.mask_lm(x) 2025-09-07T07:50:50.7089415Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 61, in forward 2025-09-07T07:50:50.7089510Z return self.softmax(self.linear(x)) 2025-09-07T07:50:50.7089514Z 2025-09-07T07:50:59.1639042Z 2025-09-07T07:50:59.2705436Z running benchmark: 0% 0/30 [00:00> $GITHUB_ENV 2025-09-07T08:04:02.0012642Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-09-07T08:04:02.0022443Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:04:02.0022768Z env: 2025-09-07T08:04:02.0022940Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:04:02.0023337Z DOCKER_CONTAINER_ID: fdbed69ae397830fd0d72dee5287b6c9ffc9d9285ec64f8bb20431c204311385 2025-09-07T08:04:02.0023757Z ##[endgroup] 2025-09-07T08:04:02.0053553Z + [[ -n '' ]] 2025-09-07T08:04:02.0053862Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-09-07T08:04:02.2214142Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T08:04:03.1585693Z Collecting boto3==1.35.33 2025-09-07T08:04:03.1756094Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-09-07T08:04:03.4359970Z Collecting psutil==7.0.0 2025-09-07T08:04:03.4397710Z Downloading psutil-7.0.0-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (279 kB) 2025-09-07T08:04:03.4739179Z Collecting pynvml==12.0.0 2025-09-07T08:04:03.4774284Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-09-07T08:04:03.4847749Z 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) 2025-09-07T08:04:04.4551864Z Collecting botocore<1.36.0,>=1.35.33 2025-09-07T08:04:04.4594530Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-09-07T08:04:04.6059275Z Collecting s3transfer<0.11.0,>=0.10.0 2025-09-07T08:04:04.6095945Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-09-07T08:04:04.6564948Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-09-07T08:04:04.6604707Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-09-07T08:04:04.6684693Z 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) 2025-09-07T08:04:04.6690459Z 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) 2025-09-07T08:04:04.8263520Z 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) 2025-09-07T08:04:04.9268287Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-09-07T08:04:05.6082511Z 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 2025-09-07T08:04:05.6894350Z + DEVICE_NAME= 2025-09-07T08:04:05.6894723Z + DEVICE_TYPE= 2025-09-07T08:04:05.6894926Z + command -v nvidia-smi 2025-09-07T08:04:05.6895143Z + command -v rocminfo 2025-09-07T08:04:05.6895341Z + echo DEVICE_NAME= 2025-09-07T08:04:05.6895915Z + echo DEVICE_TYPE= 2025-09-07T08:04:05.6916383Z ##[group]Run set -eux 2025-09-07T08:04:05.6916608Z set -eux 2025-09-07T08:04:05.6916790Z  2025-09-07T08:04:05.6916988Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-09-07T08:04:05.6917288Z  echo "Missing github-token input" 2025-09-07T08:04:05.6917555Z  exit 1 2025-09-07T08:04:05.6917729Z fi 2025-09-07T08:04:05.6925314Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:04:05.6925632Z env: 2025-09-07T08:04:05.6925805Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:04:05.6926203Z DOCKER_CONTAINER_ID: fdbed69ae397830fd0d72dee5287b6c9ffc9d9285ec64f8bb20431c204311385 2025-09-07T08:04:05.6926626Z DEVICE_NAME: 2025-09-07T08:04:05.6926816Z DEVICE_TYPE: 2025-09-07T08:04:05.6927199Z GITHUB_TOKEN: *** 2025-09-07T08:04:05.6927388Z ##[endgroup] 2025-09-07T08:04:05.6951407Z + [[ -z *** ]] 2025-09-07T08:04:05.6988479Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-09-07T08:04:05.6988843Z with: 2025-09-07T08:04:05.6989133Z github-token: *** 2025-09-07T08:04:05.6989321Z env: 2025-09-07T08:04:05.6989488Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:04:05.6989878Z DOCKER_CONTAINER_ID: fdbed69ae397830fd0d72dee5287b6c9ffc9d9285ec64f8bb20431c204311385 2025-09-07T08:04:05.6990303Z DEVICE_NAME: 2025-09-07T08:04:05.6990482Z DEVICE_TYPE: 2025-09-07T08:04:05.6990665Z ##[endgroup] 2025-09-07T08:04:05.7003739Z ##[group]Run set -eux 2025-09-07T08:04:05.7003960Z set -eux 2025-09-07T08:04:05.7004143Z  2025-09-07T08:04:05.7004539Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T08:04:05.7010299Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:04:05.7010628Z env: 2025-09-07T08:04:05.7010799Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:04:05.7011197Z DOCKER_CONTAINER_ID: fdbed69ae397830fd0d72dee5287b6c9ffc9d9285ec64f8bb20431c204311385 2025-09-07T08:04:05.7011618Z DEVICE_NAME: 2025-09-07T08:04:05.7011802Z DEVICE_TYPE: 2025-09-07T08:04:05.7012117Z GITHUB_TOKEN: *** 2025-09-07T08:04:05.7012304Z ##[endgroup] 2025-09-07T08:04:05.7033629Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 17525321311 i-06e731cf93e583fbf 2025-09-07T08:04:07.0204365Z setting job-id=49775354783 2025-09-07T08:04:07.0204934Z setting job-name=linux-jammy-aarch64-py3.10-inductor / test (inductor_torchbench_perf_cpu_aarch64, 1, 15, linux.arm64.m7g.metal) 2025-09-07T08:04:07.0296770Z ##[group]Run set -eux 2025-09-07T08:04:07.0297002Z set -eux 2025-09-07T08:04:07.0297186Z  2025-09-07T08:04:07.0297570Z if [[ -n "" ]]; then 2025-09-07T08:04:07.0297815Z  source "" 2025-09-07T08:04:07.0298005Z fi 2025-09-07T08:04:07.0298170Z  2025-09-07T08:04:07.0298498Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-09-07T08:04:07.0298945Z  --schema-version "${SCHEMA_VERSION}" \ 2025-09-07T08:04:07.0299235Z  --repo "${REPO}" \ 2025-09-07T08:04:07.0299488Z  --head-branch "${HEAD_BRANCH}" \ 2025-09-07T08:04:07.0299772Z  --head-sha "${HEAD_SHA}" \ 2025-09-07T08:04:07.0300057Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-09-07T08:04:07.0300366Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-09-07T08:04:07.0300642Z  --job-id "${JOB_ID}" \ 2025-09-07T08:04:07.0300896Z  --job-name "${JOB_NAME}" 2025-09-07T08:04:07.0307030Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:04:07.0307354Z env: 2025-09-07T08:04:07.0307534Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:04:07.0308031Z DOCKER_CONTAINER_ID: fdbed69ae397830fd0d72dee5287b6c9ffc9d9285ec64f8bb20431c204311385 2025-09-07T08:04:07.0308459Z DEVICE_NAME: 2025-09-07T08:04:07.0308644Z DEVICE_TYPE: 2025-09-07T08:04:07.0308828Z SCHEMA_VERSION: v3 2025-09-07T08:04:07.0309034Z REPO: pytorch/pytorch 2025-09-07T08:04:07.0309251Z HEAD_BRANCH: refs/heads/main 2025-09-07T08:04:07.0309525Z HEAD_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:04:07.0309814Z WORKFLOW_RUN_ID: 17525321311 2025-09-07T08:04:07.0310037Z RUN_ATTEMPT: 1 2025-09-07T08:04:07.0310222Z JOB_ID: 49775354783 2025-09-07T08:04:07.0310721Z JOB_NAME: linux-jammy-aarch64-py3.10-inductor / test (inductor_torchbench_perf_cpu_aarch64, 1, 15, linux.arm64.m7g.metal) 2025-09-07T08:04:07.0311350Z ##[endgroup] 2025-09-07T08:04:07.0342308Z + [[ -n '' ]] 2025-09-07T08:04:07.0344122Z + 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 49775354783 --job-name 'linux-jammy-aarch64-py3.10-inductor / test (inductor_torchbench_perf_cpu_aarch64, 1, 15, linux.arm64.m7g.metal)' 2025-09-07T08:04:07.0637110Z ##[group]Run set -eux 2025-09-07T08:04:07.0637332Z set -eux 2025-09-07T08:04:07.0637514Z  2025-09-07T08:04:07.0637684Z if [[ -n "" ]]; then 2025-09-07T08:04:07.0637906Z  source "" 2025-09-07T08:04:07.0638097Z fi 2025-09-07T08:04:07.0638273Z  2025-09-07T08:04:07.0638597Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-09-07T08:04:07.0646178Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:04:07.0646491Z env: 2025-09-07T08:04:07.0646663Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:04:07.0647069Z DOCKER_CONTAINER_ID: fdbed69ae397830fd0d72dee5287b6c9ffc9d9285ec64f8bb20431c204311385 2025-09-07T08:04:07.0647495Z DEVICE_NAME: 2025-09-07T08:04:07.0647673Z DEVICE_TYPE: 2025-09-07T08:04:07.0647849Z ##[endgroup] 2025-09-07T08:04:07.0668807Z + [[ -n '' ]] 2025-09-07T08:04:07.0669498Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-09-07T08:04:07.1060672Z INFO:root:Fail to import torch to get the device name 2025-09-07T08:04:07.1153283Z ##[group]Run set -eux 2025-09-07T08:04:07.1153505Z set -eux 2025-09-07T08:04:07.1153683Z  2025-09-07T08:04:07.1153891Z # TODO (huydhn): Implement this part 2025-09-07T08:04:07.1154219Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-09-07T08:04:07.1159961Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:04:07.1160274Z env: 2025-09-07T08:04:07.1160441Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:04:07.1161031Z DOCKER_CONTAINER_ID: fdbed69ae397830fd0d72dee5287b6c9ffc9d9285ec64f8bb20431c204311385 2025-09-07T08:04:07.1161476Z DEVICE_NAME: 2025-09-07T08:04:07.1161659Z DEVICE_TYPE: 2025-09-07T08:04:07.1161834Z ##[endgroup] 2025-09-07T08:04:07.1182630Z + echo 'dependencies={}' 2025-09-07T08:04:07.1200821Z ##[group]Run set -eux 2025-09-07T08:04:07.1201059Z set -eux 2025-09-07T08:04:07.1201237Z  2025-09-07T08:04:07.1201407Z if [[ -n "" ]]; then 2025-09-07T08:04:07.1201627Z  source "" 2025-09-07T08:04:07.1201815Z fi 2025-09-07T08:04:07.1201977Z  2025-09-07T08:04:07.1202195Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-09-07T08:04:07.1202576Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-09-07T08:04:07.1202990Z  # We don't want the job to fail if the directory doesn't exist 2025-09-07T08:04:07.1203312Z  exit 0 2025-09-07T08:04:07.1203491Z fi 2025-09-07T08:04:07.1203661Z  2025-09-07T08:04:07.1203975Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-09-07T08:04:07.1204380Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T08:04:07.1204854Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T08:04:07.1205219Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T08:04:07.1205520Z  --runners "${RUNNER_INFO}" \ 2025-09-07T08:04:07.1205810Z  --dependencies "${DEPENDENCIES}" \ 2025-09-07T08:04:07.1206081Z  --dry-run 2025-09-07T08:04:07.1206280Z else 2025-09-07T08:04:07.1206703Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T08:04:07.1207170Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T08:04:07.1207527Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T08:04:07.1207822Z  --runners "${RUNNER_INFO}" \ 2025-09-07T08:04:07.1208115Z  --dependencies "${DEPENDENCIES}" 2025-09-07T08:04:07.1208379Z fi 2025-09-07T08:04:07.1213797Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:04:07.1214106Z env: 2025-09-07T08:04:07.1214279Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:04:07.1214675Z DOCKER_CONTAINER_ID: fdbed69ae397830fd0d72dee5287b6c9ffc9d9285ec64f8bb20431c204311385 2025-09-07T08:04:07.1215097Z DEVICE_NAME: 2025-09-07T08:04:07.1215276Z DEVICE_TYPE: 2025-09-07T08:04:07.1215486Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-09-07T08:04:07.1215748Z DRY_RUN: false 2025-09-07T08:04:07.1217003Z BENCHMARK_METADATA: {"timestamp": 1757232247, "schema_version": "v3", "name": "linux-jammy-aarch64-py3.10-inductor / test (inductor_torchbench_perf_cpu_aarch64, 1, 15, linux.arm64.m7g.metal)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525321311, "run_attempt": 1, "job_id": 49775354783} 2025-09-07T08:04:07.1218636Z RUNNER_INFO: [{"cpu_info": "aarch64", "cpu_count": 64, "avail_mem_in_gb": 251, "extra_info": {"hostname": "ip-10-0-19-251.ec2.internal"}, "name": "", "type": ""}] 2025-09-07T08:04:07.1219198Z DEPENDENCIES: {} 2025-09-07T08:04:07.1219382Z ##[endgroup] 2025-09-07T08:04:07.1239917Z + [[ -n '' ]] 2025-09-07T08:04:07.1240120Z + [[ ! -d test/test-reports ]] 2025-09-07T08:04:07.1240348Z + [[ false == \t\r\u\e ]] 2025-09-07T08:04:07.1243094Z + 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": 1757232247, "schema_version": "v3", "name": "linux-jammy-aarch64-py3.10-inductor / test (inductor_torchbench_perf_cpu_aarch64, 1, 15, linux.arm64.m7g.metal)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525321311, "run_attempt": 1, "job_id": 49775354783}' --runners '[{"cpu_info": "aarch64", "cpu_count": 64, "avail_mem_in_gb": 251, "extra_info": {"hostname": "ip-10-0-19-251.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}' 2025-09-07T08:04:07.2498633Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cpu_aarch64_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354783/inductor_no_cudagraphs_torchbench_bfloat16_inference_cpu_aarch64_accuracy.json 2025-09-07T08:04:07.2749730Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-09-07T08:04:07.4513550Z INFO:root:Upload test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cpu_aarch64_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354783/inductor_dynamic_torchbench_bfloat16_inference_cpu_aarch64_accuracy.json 2025-09-07T08:04:07.5282256Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cpu_aarch64_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354783/inductor_cpp_wrapper_torchbench_bfloat16_inference_cpu_aarch64_accuracy.json 2025-09-07T08:04:07.6527525Z INFO:root:Upload test/test-reports/inductor_export_torchbench_bfloat16_inference_cpu_aarch64_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354783/inductor_export_torchbench_bfloat16_inference_cpu_aarch64_accuracy.json 2025-09-07T08:04:07.7245089Z INFO:root:Upload test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cpu_aarch64_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354783/inductor_aot_inductor_torchbench_bfloat16_inference_cpu_aarch64_accuracy.json 2025-09-07T08:04:07.7937678Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cpu_aarch64_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354783/inductor_no_cudagraphs_torchbench_bfloat16_inference_cpu_aarch64_performance.json 2025-09-07T08:04:07.8716104Z 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/17525321311/49775354783/inductor_no_cudagraphs_torchbench_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json 2025-09-07T08:04:07.9673467Z INFO:root:Upload test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cpu_aarch64_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354783/inductor_dynamic_torchbench_bfloat16_inference_cpu_aarch64_performance.json 2025-09-07T08:04:08.0784635Z INFO:root:Upload test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354783/inductor_dynamic_torchbench_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json 2025-09-07T08:04:08.1584604Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cpu_aarch64_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354783/inductor_cpp_wrapper_torchbench_bfloat16_inference_cpu_aarch64_performance.json 2025-09-07T08:04:08.2452421Z 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/17525321311/49775354783/inductor_cpp_wrapper_torchbench_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json 2025-09-07T08:04:08.3527824Z INFO:root:Upload test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cpu_aarch64_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525321311/49775354783/inductor_aot_inductor_torchbench_bfloat16_inference_cpu_aarch64_performance.json 2025-09-07T08:04:08.4279268Z 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/17525321311/49775354783/inductor_aot_inductor_torchbench_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json 2025-09-07T08:04:08.5546623Z ##[group]Run cat test/**/*_toprint.log || true 2025-09-07T08:04:08.5546985Z cat test/**/*_toprint.log || true 2025-09-07T08:04:08.5553418Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:04:08.5553728Z env: 2025-09-07T08:04:08.5553898Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:04:08.5554298Z DOCKER_CONTAINER_ID: fdbed69ae397830fd0d72dee5287b6c9ffc9d9285ec64f8bb20431c204311385 2025-09-07T08:04:08.5554720Z DEVICE_NAME: 2025-09-07T08:04:08.5554913Z DEVICE_TYPE: 2025-09-07T08:04:08.5555092Z ##[endgroup] 2025-09-07T08:04:08.5629837Z cat: 'test/**/*_toprint.log': No such file or directory 2025-09-07T08:04:08.5744120Z Prepare all required actions 2025-09-07T08:04:08.5744528Z Getting action download info 2025-09-07T08:04:08.7135868Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T08:04:08.8978696Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-09-07T08:04:09.2734634Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-09-07T08:04:09.2734931Z with: 2025-09-07T08:04:09.2735304Z file-suffix: test-inductor_torchbench_perf_cpu_aarch64-1-15-linux.arm64.m7g.metal_49775354783 2025-09-07T08:04:09.2735763Z s3-bucket: gha-artifacts 2025-09-07T08:04:09.2735974Z env: 2025-09-07T08:04:09.2736143Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:04:09.2736534Z DOCKER_CONTAINER_ID: fdbed69ae397830fd0d72dee5287b6c9ffc9d9285ec64f8bb20431c204311385 2025-09-07T08:04:09.2737113Z DEVICE_NAME: 2025-09-07T08:04:09.2737292Z DEVICE_TYPE: 2025-09-07T08:04:09.2737469Z ##[endgroup] 2025-09-07T08:04:09.2757980Z ##[group]Run # Remove any previous test jsons if they exist 2025-09-07T08:04:09.2758380Z # Remove any previous test jsons if they exist 2025-09-07T08:04:09.2758694Z rm -f test-jsons-*.zip 2025-09-07T08:04:09.2759065Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-09-07T08:04:09.2766089Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:04:09.2766406Z env: 2025-09-07T08:04:09.2766575Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:04:09.2766972Z DOCKER_CONTAINER_ID: fdbed69ae397830fd0d72dee5287b6c9ffc9d9285ec64f8bb20431c204311385 2025-09-07T08:04:09.2767396Z DEVICE_NAME: 2025-09-07T08:04:09.2767575Z DEVICE_TYPE: 2025-09-07T08:04:09.2767957Z FILE_SUFFIX: test-inductor_torchbench_perf_cpu_aarch64-1-15-linux.arm64.m7g.metal_49775354783 2025-09-07T08:04:09.2768396Z ##[endgroup] 2025-09-07T08:04:09.2885867Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cpu_aarch64_accuracy.json (deflated 98%) 2025-09-07T08:04:09.2894388Z adding: test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cpu_aarch64_accuracy.json (deflated 98%) 2025-09-07T08:04:09.2903086Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cpu_aarch64_accuracy.json (deflated 98%) 2025-09-07T08:04:09.2911448Z adding: test/test-reports/inductor_export_torchbench_bfloat16_inference_cpu_aarch64_accuracy.json (deflated 98%) 2025-09-07T08:04:09.2919787Z adding: test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cpu_aarch64_accuracy.json (deflated 98%) 2025-09-07T08:04:09.2932189Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cpu_aarch64_performance.json (deflated 98%) 2025-09-07T08:04:09.2959518Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json (deflated 98%) 2025-09-07T08:04:09.2972102Z adding: test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cpu_aarch64_performance.json (deflated 98%) 2025-09-07T08:04:09.2999654Z adding: test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json (deflated 98%) 2025-09-07T08:04:09.3011834Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cpu_aarch64_performance.json (deflated 98%) 2025-09-07T08:04:09.3038644Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json (deflated 98%) 2025-09-07T08:04:09.3050835Z adding: test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cpu_aarch64_performance.json (deflated 98%) 2025-09-07T08:04:09.3068930Z adding: test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.json (deflated 98%) 2025-09-07T08:04:09.3125539Z ##[group]Run # Remove any previous test reports if they exist 2025-09-07T08:04:09.3126182Z # Remove any previous test reports if they exist 2025-09-07T08:04:09.3126523Z rm -f test-reports-*.zip 2025-09-07T08:04:09.3126928Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-09-07T08:04:09.3133265Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:04:09.3133582Z env: 2025-09-07T08:04:09.3133753Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:04:09.3134152Z DOCKER_CONTAINER_ID: fdbed69ae397830fd0d72dee5287b6c9ffc9d9285ec64f8bb20431c204311385 2025-09-07T08:04:09.3134574Z DEVICE_NAME: 2025-09-07T08:04:09.3134755Z DEVICE_TYPE: 2025-09-07T08:04:09.3135137Z FILE_SUFFIX: test-inductor_torchbench_perf_cpu_aarch64-1-15-linux.arm64.m7g.metal_49775354783 2025-09-07T08:04:09.3135571Z ##[endgroup] 2025-09-07T08:04:09.3190359Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cpu_aarch64_accuracy.csv (deflated 43%) 2025-09-07T08:04:09.3191357Z adding: test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cpu_aarch64_accuracy.csv (deflated 43%) 2025-09-07T08:04:09.3192170Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cpu_aarch64_accuracy.csv (deflated 43%) 2025-09-07T08:04:09.3192975Z adding: test/test-reports/inductor_export_torchbench_bfloat16_inference_cpu_aarch64_accuracy.csv (deflated 43%) 2025-09-07T08:04:09.3193787Z adding: test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cpu_aarch64_accuracy.csv (deflated 51%) 2025-09-07T08:04:09.3194641Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cpu_aarch64_performance.csv (deflated 42%) 2025-09-07T08:04:09.3195563Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.csv (deflated 47%) 2025-09-07T08:04:09.3196471Z adding: test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cpu_aarch64_performance.csv (deflated 42%) 2025-09-07T08:04:09.3197370Z adding: test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.csv (deflated 46%) 2025-09-07T08:04:09.3198274Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cpu_aarch64_performance.csv (deflated 42%) 2025-09-07T08:04:09.3199442Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.csv (deflated 47%) 2025-09-07T08:04:09.3200366Z adding: test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cpu_aarch64_performance.csv (deflated 43%) 2025-09-07T08:04:09.3201283Z adding: test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cpu_aarch64_performance_compilation_metrics.csv (deflated 45%) 2025-09-07T08:04:09.3227257Z ##[group]Run # Remove any previous usage logs if they exist 2025-09-07T08:04:09.3227649Z # Remove any previous usage logs if they exist 2025-09-07T08:04:09.3227964Z rm -f logs-*.zip 2025-09-07T08:04:09.3228260Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-09-07T08:04:09.3228692Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-09-07T08:04:09.3234433Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:04:09.3234752Z env: 2025-09-07T08:04:09.3234920Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:04:09.3235312Z DOCKER_CONTAINER_ID: fdbed69ae397830fd0d72dee5287b6c9ffc9d9285ec64f8bb20431c204311385 2025-09-07T08:04:09.3235740Z DEVICE_NAME: 2025-09-07T08:04:09.3235920Z DEVICE_TYPE: 2025-09-07T08:04:09.3236305Z FILE_SUFFIX: test-inductor_torchbench_perf_cpu_aarch64-1-15-linux.arm64.m7g.metal_49775354783 2025-09-07T08:04:09.3236744Z ##[endgroup] 2025-09-07T08:04:09.3275918Z zip warning: name not matched: usage_log.txt 2025-09-07T08:04:09.3276144Z 2025-09-07T08:04:09.3276497Z zip error: Nothing to do! (logs-test-inductor_torchbench_perf_cpu_aarch64-1-15-linux.arm64.m7g.metal_49775354783.zip) 2025-09-07T08:04:09.3286391Z zip warning: zip file empty 2025-09-07T08:04:09.3369662Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-09-07T08:04:09.3370107Z # Remove any previous debugging artifacts if they exist 2025-09-07T08:04:09.3370444Z rm -f debug-*.zip 2025-09-07T08:04:09.3370797Z if [ -d 'test/debug' ]; then 2025-09-07T08:04:09.3371095Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-09-07T08:04:09.3371377Z fi 2025-09-07T08:04:09.3376880Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:04:09.3377188Z env: 2025-09-07T08:04:09.3377355Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:04:09.3377750Z DOCKER_CONTAINER_ID: fdbed69ae397830fd0d72dee5287b6c9ffc9d9285ec64f8bb20431c204311385 2025-09-07T08:04:09.3378171Z DEVICE_NAME: 2025-09-07T08:04:09.3378349Z DEVICE_TYPE: 2025-09-07T08:04:09.3378729Z FILE_SUFFIX: test-inductor_torchbench_perf_cpu_aarch64-1-15-linux.arm64.m7g.metal_49775354783 2025-09-07T08:04:09.3379288Z ##[endgroup] 2025-09-07T08:04:09.3454701Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T08:04:09.3454982Z with: 2025-09-07T08:04:09.3455158Z s3-bucket: gha-artifacts 2025-09-07T08:04:09.3455425Z s3-prefix: pytorch/pytorch/17525321311/1/artifact 2025-09-07T08:04:09.3455726Z retention-days: 14 2025-09-07T08:04:09.3455935Z if-no-files-found: warn 2025-09-07T08:04:09.3456160Z path: test-jsons-*.zip 2025-09-07T08:04:09.3456365Z name: artifact 2025-09-07T08:04:09.3456551Z region: us-east-1 2025-09-07T08:04:09.3456732Z env: 2025-09-07T08:04:09.3456901Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:04:09.3457296Z DOCKER_CONTAINER_ID: fdbed69ae397830fd0d72dee5287b6c9ffc9d9285ec64f8bb20431c204311385 2025-09-07T08:04:09.3457717Z DEVICE_NAME: 2025-09-07T08:04:09.3457898Z DEVICE_TYPE: 2025-09-07T08:04:09.3458073Z ##[endgroup] 2025-09-07T08:04:09.6178710Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T08:04:09.6179132Z With the provided path, there will be 1 file uploaded 2025-09-07T08:04:09.6179541Z Uploading to s3 prefix: pytorch/pytorch/17525321311/1/artifact 2025-09-07T08:04:09.6219438Z Starting upload of test-jsons-test-inductor_torchbench_perf_cpu_aarch64-1-15-linux.arm64.m7g.metal_49775354783.zip 2025-09-07T08:04:09.7510548Z Finished upload of test-jsons-test-inductor_torchbench_perf_cpu_aarch64-1-15-linux.arm64.m7g.metal_49775354783.zip 2025-09-07T08:04:09.7713938Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T08:04:09.7714213Z with: 2025-09-07T08:04:09.7714392Z s3-bucket: gha-artifacts 2025-09-07T08:04:09.7714660Z s3-prefix: pytorch/pytorch/17525321311/1/artifact 2025-09-07T08:04:09.7714953Z retention-days: 14 2025-09-07T08:04:09.7715160Z if-no-files-found: error 2025-09-07T08:04:09.7715393Z path: test-reports-*.zip 2025-09-07T08:04:09.7715608Z name: artifact 2025-09-07T08:04:09.7715795Z region: us-east-1 2025-09-07T08:04:09.7715974Z env: 2025-09-07T08:04:09.7716155Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:04:09.7716571Z DOCKER_CONTAINER_ID: fdbed69ae397830fd0d72dee5287b6c9ffc9d9285ec64f8bb20431c204311385 2025-09-07T08:04:09.7716995Z DEVICE_NAME: 2025-09-07T08:04:09.7717174Z DEVICE_TYPE: 2025-09-07T08:04:09.7717355Z ##[endgroup] 2025-09-07T08:04:10.0302375Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T08:04:10.0302769Z With the provided path, there will be 1 file uploaded 2025-09-07T08:04:10.0303158Z Uploading to s3 prefix: pytorch/pytorch/17525321311/1/artifact 2025-09-07T08:04:10.0342706Z Starting upload of test-reports-test-inductor_torchbench_perf_cpu_aarch64-1-15-linux.arm64.m7g.metal_49775354783.zip 2025-09-07T08:04:10.1635921Z Finished upload of test-reports-test-inductor_torchbench_perf_cpu_aarch64-1-15-linux.arm64.m7g.metal_49775354783.zip 2025-09-07T08:04:10.1854726Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T08:04:10.1855005Z with: 2025-09-07T08:04:10.1855184Z s3-bucket: gha-artifacts 2025-09-07T08:04:10.1855460Z s3-prefix: pytorch/pytorch/17525321311/1/artifact 2025-09-07T08:04:10.1855748Z retention-days: 14 2025-09-07T08:04:10.1856173Z if-no-files-found: ignore 2025-09-07T08:04:10.1856409Z path: logs-*.zip 2025-09-07T08:04:10.1856596Z name: artifact 2025-09-07T08:04:10.1856777Z region: us-east-1 2025-09-07T08:04:10.1856957Z env: 2025-09-07T08:04:10.1857222Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:04:10.1857617Z DOCKER_CONTAINER_ID: fdbed69ae397830fd0d72dee5287b6c9ffc9d9285ec64f8bb20431c204311385 2025-09-07T08:04:10.1858035Z DEVICE_NAME: 2025-09-07T08:04:10.1858216Z DEVICE_TYPE: 2025-09-07T08:04:10.1858393Z ##[endgroup] 2025-09-07T08:04:10.4457218Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T08:04:10.4457598Z With the provided path, there will be 1 file uploaded 2025-09-07T08:04:10.4457983Z Uploading to s3 prefix: pytorch/pytorch/17525321311/1/artifact 2025-09-07T08:04:10.4497753Z Starting upload of logs-test-inductor_torchbench_perf_cpu_aarch64-1-15-linux.arm64.m7g.metal_49775354783.zip 2025-09-07T08:04:10.5348823Z Finished upload of logs-test-inductor_torchbench_perf_cpu_aarch64-1-15-linux.arm64.m7g.metal_49775354783.zip 2025-09-07T08:04:10.5553912Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T08:04:10.5554192Z with: 2025-09-07T08:04:10.5554371Z s3-bucket: gha-artifacts 2025-09-07T08:04:10.5554643Z s3-prefix: pytorch/pytorch/17525321311/1/artifact 2025-09-07T08:04:10.5554947Z retention-days: 14 2025-09-07T08:04:10.5555152Z if-no-files-found: ignore 2025-09-07T08:04:10.5555375Z path: debug-*.zip 2025-09-07T08:04:10.5555563Z name: artifact 2025-09-07T08:04:10.5555748Z region: us-east-1 2025-09-07T08:04:10.5555922Z env: 2025-09-07T08:04:10.5556091Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:04:10.5556493Z DOCKER_CONTAINER_ID: fdbed69ae397830fd0d72dee5287b6c9ffc9d9285ec64f8bb20431c204311385 2025-09-07T08:04:10.5556917Z DEVICE_NAME: 2025-09-07T08:04:10.5557095Z DEVICE_TYPE: 2025-09-07T08:04:10.5557273Z ##[endgroup] 2025-09-07T08:04:10.8108051Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-09-07T08:04:10.8318321Z ##[group]Run # shellcheck disable=SC2156 2025-09-07T08:04:10.8318716Z # shellcheck disable=SC2156 2025-09-07T08:04:10.8319215Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-09-07T08:04:10.8325985Z shell: /usr/bin/bash -e {0} 2025-09-07T08:04:10.8326204Z env: 2025-09-07T08:04:10.8326381Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:04:10.8326779Z DOCKER_CONTAINER_ID: fdbed69ae397830fd0d72dee5287b6c9ffc9d9285ec64f8bb20431c204311385 2025-09-07T08:04:10.8327200Z DEVICE_NAME: 2025-09-07T08:04:10.8327383Z DEVICE_TYPE: 2025-09-07T08:04:10.8327560Z ##[endgroup] 2025-09-07T08:04:11.0761903Z Prepare all required actions 2025-09-07T08:04:11.0762271Z Getting action download info 2025-09-07T08:04:11.2062694Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-09-07T08:04:11.2063000Z with: 2025-09-07T08:04:11.2063178Z job_id: 49775354783 2025-09-07T08:04:11.2063679Z job_name: linux-jammy-aarch64-py3.10-inductor / test (inductor_torchbench_perf_cpu_aarch64, 1, 15, linux.arm64.m7g.metal) 2025-09-07T08:04:11.2064400Z workflow_name: inductor-perf-nightly-aarch64 2025-09-07T08:04:11.2064690Z workflow_run_id: 17525321311 2025-09-07T08:04:11.2064919Z workflow_attempt: 1 2025-09-07T08:04:11.2065123Z env: 2025-09-07T08:04:11.2065292Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:04:11.2065685Z DOCKER_CONTAINER_ID: fdbed69ae397830fd0d72dee5287b6c9ffc9d9285ec64f8bb20431c204311385 2025-09-07T08:04:11.2066104Z DEVICE_NAME: 2025-09-07T08:04:11.2066284Z DEVICE_TYPE: 2025-09-07T08:04:11.2066460Z ##[endgroup] 2025-09-07T08:04:11.2080770Z ##[group]Run echo "workflow_id: 17525321311" 2025-09-07T08:04:11.2081076Z echo "workflow_id: 17525321311" 2025-09-07T08:04:11.2081347Z echo "workflow_attempt: 1" 2025-09-07T08:04:11.2081688Z echo "workflow_Name: inductor-perf-nightly-aarch64" 2025-09-07T08:04:11.2082037Z echo "job_id: 49775354783" 2025-09-07T08:04:11.2082609Z echo "job_name: linux-jammy-aarch64-py3.10-inductor / test (inductor_torchbench_perf_cpu_aarch64, 1, 15, linux.arm64.m7g.metal)" 2025-09-07T08:04:11.2083198Z echo "artifact_prefix: " 2025-09-07T08:04:11.2083451Z python3 --version 2025-09-07T08:04:11.2089476Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:04:11.2089792Z env: 2025-09-07T08:04:11.2089960Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:04:11.2090361Z DOCKER_CONTAINER_ID: fdbed69ae397830fd0d72dee5287b6c9ffc9d9285ec64f8bb20431c204311385 2025-09-07T08:04:11.2090787Z DEVICE_NAME: 2025-09-07T08:04:11.2090969Z DEVICE_TYPE: 2025-09-07T08:04:11.2091150Z ##[endgroup] 2025-09-07T08:04:11.2111909Z workflow_id: 17525321311 2025-09-07T08:04:11.2112132Z workflow_attempt: 1 2025-09-07T08:04:11.2112375Z workflow_Name: inductor-perf-nightly-aarch64 2025-09-07T08:04:11.2112655Z job_id: 49775354783 2025-09-07T08:04:11.2113307Z job_name: linux-jammy-aarch64-py3.10-inductor / test (inductor_torchbench_perf_cpu_aarch64, 1, 15, linux.arm64.m7g.metal) 2025-09-07T08:04:11.2113845Z artifact_prefix: 2025-09-07T08:04:11.2123728Z Python 3.9.23 2025-09-07T08:04:11.2156677Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T08:04:11.2156932Z with: 2025-09-07T08:04:11.2157092Z shell: bash 2025-09-07T08:04:11.2157280Z timeout_minutes: 5 2025-09-07T08:04:11.2157480Z max_attempts: 5 2025-09-07T08:04:11.2157676Z retry_wait_seconds: 30 2025-09-07T08:04:11.2158143Z 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 2025-09-07T08:04:11.2158650Z polling_interval_seconds: 1 2025-09-07T08:04:11.2158895Z warning_on_retry: true 2025-09-07T08:04:11.2159114Z continue_on_error: false 2025-09-07T08:04:11.2159317Z env: 2025-09-07T08:04:11.2159488Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:04:11.2159885Z DOCKER_CONTAINER_ID: fdbed69ae397830fd0d72dee5287b6c9ffc9d9285ec64f8bb20431c204311385 2025-09-07T08:04:11.2160314Z DEVICE_NAME: 2025-09-07T08:04:11.2160498Z DEVICE_TYPE: 2025-09-07T08:04:11.2160672Z ##[endgroup] 2025-09-07T08:04:11.5169582Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T08:04:11.5815697Z Collecting python-dateutil==2.8.2 2025-09-07T08:04:11.5961305Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-09-07T08:04:12.4355658Z Collecting boto3==1.35.42 2025-09-07T08:04:12.4392697Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-09-07T08:04:12.8663847Z Collecting pandas==2.1.3 2025-09-07T08:04:12.8699328Z Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (14.9 MB) 2025-09-07T08:04:13.0332183Z Collecting dataclasses_json==0.6.7 2025-09-07T08:04:13.0351608Z Using cached dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-09-07T08:04:13.0376226Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0) 2025-09-07T08:04:13.0418745Z 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) 2025-09-07T08:04:13.0422586Z 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) 2025-09-07T08:04:13.0431921Z 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) 2025-09-07T08:04:13.1252712Z Collecting tzdata>=2022.1 2025-09-07T08:04:13.1289354Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-09-07T08:04:13.1373491Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1) 2025-09-07T08:04:13.8254099Z Collecting numpy<2,>=1.22.4 2025-09-07T08:04:13.8291430Z Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (14.2 MB) 2025-09-07T08:04:14.0294502Z Collecting marshmallow<4.0.0,>=3.18.0 2025-09-07T08:04:14.0313918Z Using cached marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-09-07T08:04:14.0474057Z Collecting typing-inspect<1,>=0.4.0 2025-09-07T08:04:14.0493364Z Using cached typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-09-07T08:04:14.0575416Z 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) 2025-09-07T08:04:14.1005452Z Collecting packaging>=17.0 2025-09-07T08:04:14.1024928Z Using cached packaging-25.0-py3-none-any.whl (66 kB) 2025-09-07T08:04:14.1261092Z Collecting mypy-extensions>=0.3.0 2025-09-07T08:04:14.1280725Z Using cached mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-09-07T08:04:14.1656322Z Collecting typing-extensions>=3.7.4 2025-09-07T08:04:14.1675725Z Using cached typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-09-07T08:04:14.3603045Z Installing collected packages: python-dateutil, typing-extensions, packaging, mypy-extensions, tzdata, typing-inspect, numpy, marshmallow, pandas, dataclasses-json, boto3 2025-09-07T08:04:19.2855878Z Attempting uninstall: boto3 2025-09-07T08:04:19.2857152Z Found existing installation: boto3 1.35.33 2025-09-07T08:04:19.2946837Z Uninstalling boto3-1.35.33: 2025-09-07T08:04:19.2959433Z Successfully uninstalled boto3-1.35.33 2025-09-07T08:04:19.3477110Z 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 2025-09-07T08:04:20.2911450Z Command completed after 1 attempt(s). 2025-09-07T08:04:20.2961133Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T08:04:20.2961750Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T08:04:20.2962182Z  --workflow-run-id "17525321311" \ 2025-09-07T08:04:20.2962529Z  --workflow-name "inductor-perf-nightly-aarch64" \ 2025-09-07T08:04:20.2962882Z  --workflow-run-attempt "1" \ 2025-09-07T08:04:20.2975687Z  --job-id "49775354783" \ 2025-09-07T08:04:20.2976357Z  --job-name "linux-jammy-aarch64-py3.10-inductor / test (inductor_torchbench_perf_cpu_aarch64, 1, 15, linux.arm64.m7g.metal)" \ 2025-09-07T08:04:20.2976950Z  --local-path "" \ 2025-09-07T08:04:20.2977202Z  --artifact-prefix "" 2025-09-07T08:04:20.2983811Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:04:20.2984129Z env: 2025-09-07T08:04:20.2984307Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:04:20.2984701Z DOCKER_CONTAINER_ID: fdbed69ae397830fd0d72dee5287b6c9ffc9d9285ec64f8bb20431c204311385 2025-09-07T08:04:20.2985371Z DEVICE_NAME: 2025-09-07T08:04:20.2985571Z DEVICE_TYPE: 2025-09-07T08:04:20.2985755Z ##[endgroup] 2025-09-07T08:04:20.9411136Z repo: pytorch/pytorch 2025-09-07T08:04:20.9411430Z Search for test log in s3 bucket: ossci-utilization 2025-09-07T08:04:20.9411987Z Downloading logs-test-inductor_torchbench_perf_cpu_aarch64-1-15-linux.arm64.m7g.metal_49775354783.zip 2025-09-07T08:04:20.9412791Z extracting usage_log.txt from zip file logs-test-inductor_torchbench_perf_cpu_aarch64-1-15-linux.arm64.m7g.metal_49775354783.zip 2025-09-07T08:04:20.9413647Z ::warning trying to download test log failed by: "There is no item named 'usage_log.txt' in the archive" 2025-09-07T08:04:20.9414221Z [Log Model] Failed to process test log, metadata is None 2025-09-07T08:04:21.0209482Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-09-07T08:04:21.0209881Z with: 2025-09-07T08:04:21.0210043Z env: 2025-09-07T08:04:21.0210215Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:04:21.0210614Z DOCKER_CONTAINER_ID: fdbed69ae397830fd0d72dee5287b6c9ffc9d9285ec64f8bb20431c204311385 2025-09-07T08:04:21.0211036Z DEVICE_NAME: 2025-09-07T08:04:21.0211219Z DEVICE_TYPE: 2025-09-07T08:04:21.0211396Z ##[endgroup] 2025-09-07T08:04:21.0225839Z ##[group]Run set -eou pipefail 2025-09-07T08:04:21.0226114Z set -eou pipefail 2025-09-07T08:04:21.0226330Z  2025-09-07T08:04:21.0226637Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-09-07T08:04:21.0227018Z for _ in $(seq 1440); do 2025-09-07T08:04:21.0227292Z  # Break if no ssh session exists anymore 2025-09-07T08:04:21.0227706Z  if [ "$(who)" = "" ]; then 2025-09-07T08:04:21.0227947Z  break 2025-09-07T08:04:21.0228157Z  fi 2025-09-07T08:04:21.0228340Z  echo "." 2025-09-07T08:04:21.0228535Z  sleep 5 2025-09-07T08:04:21.0228726Z done 2025-09-07T08:04:21.0235120Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:04:21.0235432Z env: 2025-09-07T08:04:21.0235600Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:04:21.0235996Z DOCKER_CONTAINER_ID: fdbed69ae397830fd0d72dee5287b6c9ffc9d9285ec64f8bb20431c204311385 2025-09-07T08:04:21.0236540Z DEVICE_NAME: 2025-09-07T08:04:21.0236720Z DEVICE_TYPE: 2025-09-07T08:04:21.0236895Z ##[endgroup] 2025-09-07T08:04:21.0259127Z Holding runner for 2 hours until all ssh sessions have logged out 2025-09-07T08:04:21.0351235Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T08:04:21.0351792Z # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T08:04:21.0352164Z # shellcheck disable=SC2046 2025-09-07T08:04:21.0352454Z docker stop $(docker ps -q) || true 2025-09-07T08:04:21.0352746Z # Prune all of the docker images 2025-09-07T08:04:21.0353020Z docker system prune -af 2025-09-07T08:04:21.0358714Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:04:21.0359024Z env: 2025-09-07T08:04:21.0359195Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:04:21.0359597Z DOCKER_CONTAINER_ID: fdbed69ae397830fd0d72dee5287b6c9ffc9d9285ec64f8bb20431c204311385 2025-09-07T08:04:21.0360029Z DEVICE_NAME: 2025-09-07T08:04:21.0360214Z DEVICE_TYPE: 2025-09-07T08:04:21.0360388Z ##[endgroup] 2025-09-07T08:04:31.9725151Z fdbed69ae397 2025-09-07T08:04:32.5318038Z Deleted Containers: 2025-09-07T08:04:32.5318386Z fdbed69ae397830fd0d72dee5287b6c9ffc9d9285ec64f8bb20431c204311385 2025-09-07T08:04:32.5318677Z 2025-09-07T08:04:39.1964200Z Deleted Images: 2025-09-07T08:04:39.1965090Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-aarch64-py3.10-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:04:39.1966301Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:c8bf3aa0f88e5662ff72435fb728fa2432ad59709b953fd68e95432215dfee4a 2025-09-07T08:04:39.1967091Z deleted: sha256:2e41fa7f17d613e4abb96e4b9f7f4a2b2a08134df169ebcbcbc5a819408dc5b3 2025-09-07T08:04:39.1967651Z deleted: sha256:6652ecf65d8c4cd0c3717dc16a11439cde78848e05f81f231f3a87c2bdca3e31 2025-09-07T08:04:39.1968198Z deleted: sha256:cdacb207081fe2073693646a77441b430d48e78fc30b78acab75e11e4760c572 2025-09-07T08:04:39.1968756Z deleted: sha256:683e8048cce4d643d0f939a1f8c9c5c3c0ce002dc48c0fa451fe18d0b1c48de3 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2025-09-07T08:04:39.2009526Z deleted: sha256:3e04ae02e3b48a52cd15f8595efd67e8ab7b3e9766f7d1e12a25c8c76f3a86bf 2025-09-07T08:04:39.2009860Z 2025-09-07T08:04:39.2009959Z Total reclaimed space: 30.3GB 2025-09-07T08:04:39.2102298Z Post job cleanup. 2025-09-07T08:04:39.2140824Z Post job cleanup. 2025-09-07T08:04:39.3007304Z [command]/usr/bin/git version 2025-09-07T08:04:39.3045343Z git version 2.47.1 2025-09-07T08:04:39.3079949Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/c04fecd7-139f-4dec-b29a-0d8fa031949d/.gitconfig' 2025-09-07T08:04:39.3088755Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/c04fecd7-139f-4dec-b29a-0d8fa031949d' before making global git config changes 2025-09-07T08:04:39.3090004Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T08:04:39.3094316Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T08:04:39.3133085Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T08:04:39.3171583Z [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' || :" 2025-09-07T08:04:39.3454739Z Entering 'android/libs/fbjni' 2025-09-07T08:04:39.3508962Z Entering 'third_party/FP16' 2025-09-07T08:04:39.3564097Z Entering 'third_party/FXdiv' 2025-09-07T08:04:39.3618557Z Entering 'third_party/NNPACK' 2025-09-07T08:04:39.3673627Z Entering 'third_party/NVTX' 2025-09-07T08:04:39.3727962Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T08:04:39.3781664Z Entering 'third_party/XNNPACK' 2025-09-07T08:04:39.3848229Z Entering 'third_party/aiter' 2025-09-07T08:04:39.3902103Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T08:04:39.3960805Z Entering 'third_party/benchmark' 2025-09-07T08:04:39.4015587Z Entering 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2025-09-07T08:04:39.6069495Z Entering 'third_party/mimalloc' 2025-09-07T08:04:39.6122930Z Entering 'third_party/nlohmann' 2025-09-07T08:04:39.6176680Z Entering 'third_party/onnx' 2025-09-07T08:04:39.6241574Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T08:04:39.6297870Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T08:04:39.6351563Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T08:04:39.6402088Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T08:04:39.6454619Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T08:04:39.6505753Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T08:04:39.6557409Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T08:04:39.6607898Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T08:04:39.6658623Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T08:04:39.6708070Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T08:04:39.6761130Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T08:04:39.6814529Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T08:04:39.6879893Z Entering 'third_party/pocketfft' 2025-09-07T08:04:39.6932397Z Entering 'third_party/protobuf' 2025-09-07T08:04:39.6986718Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T08:04:39.7037616Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T08:04:39.7091360Z Entering 'third_party/psimd' 2025-09-07T08:04:39.7144610Z Entering 'third_party/pthreadpool' 2025-09-07T08:04:39.7197880Z Entering 'third_party/pybind11' 2025-09-07T08:04:39.7252523Z Entering 'third_party/python-peachpy' 2025-09-07T08:04:39.7305645Z Entering 'third_party/sleef' 2025-09-07T08:04:39.7358678Z Entering 'third_party/tensorpipe' 2025-09-07T08:04:39.7411910Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T08:04:39.7463532Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T08:04:39.7513554Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T08:04:39.7563369Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T08:04:39.7613311Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T08:04:39.7688522Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T08:04:39.7709618Z http.https://github.com/.extraheader 2025-09-07T08:04:39.7719820Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-09-07T08:04:39.7750799Z [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' || :" 2025-09-07T08:04:39.8024041Z Entering 'android/libs/fbjni' 2025-09-07T08:04:39.8058719Z http.https://github.com/.extraheader 2025-09-07T08:04:39.8092846Z Entering 'third_party/FP16' 2025-09-07T08:04:39.8128349Z http.https://github.com/.extraheader 2025-09-07T08:04:39.8162518Z Entering 'third_party/FXdiv' 2025-09-07T08:04:39.8198291Z http.https://github.com/.extraheader 2025-09-07T08:04:39.8230662Z Entering 'third_party/NNPACK' 2025-09-07T08:04:39.8266435Z http.https://github.com/.extraheader 2025-09-07T08:04:39.8299004Z Entering 'third_party/NVTX' 2025-09-07T08:04:39.8333743Z http.https://github.com/.extraheader 2025-09-07T08:04:39.8367192Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T08:04:39.8401850Z http.https://github.com/.extraheader 2025-09-07T08:04:39.8435805Z Entering 'third_party/XNNPACK' 2025-09-07T08:04:39.8471784Z http.https://github.com/.extraheader 2025-09-07T08:04:39.8514630Z Entering 'third_party/aiter' 2025-09-07T08:04:39.8549881Z http.https://github.com/.extraheader 2025-09-07T08:04:39.8583265Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T08:04:39.8617764Z http.https://github.com/.extraheader 2025-09-07T08:04:39.8656911Z Entering 'third_party/benchmark' 2025-09-07T08:04:39.8692363Z http.https://github.com/.extraheader 2025-09-07T08:04:39.8724643Z Entering 'third_party/composable_kernel' 2025-09-07T08:04:39.8759138Z http.https://github.com/.extraheader 2025-09-07T08:04:39.8797945Z Entering 'third_party/cpp-httplib' 2025-09-07T08:04:39.8833057Z http.https://github.com/.extraheader 2025-09-07T08:04:39.8865636Z Entering 'third_party/cpuinfo' 2025-09-07T08:04:39.8900945Z http.https://github.com/.extraheader 2025-09-07T08:04:39.8934599Z Entering 'third_party/cudnn_frontend' 2025-09-07T08:04:39.8969905Z http.https://github.com/.extraheader 2025-09-07T08:04:39.9003716Z Entering 'third_party/cutlass' 2025-09-07T08:04:39.9038586Z http.https://github.com/.extraheader 2025-09-07T08:04:39.9077842Z Entering 'third_party/fbgemm' 2025-09-07T08:04:39.9114112Z http.https://github.com/.extraheader 2025-09-07T08:04:39.9149319Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T08:04:39.9183812Z http.https://github.com/.extraheader 2025-09-07T08:04:39.9215615Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T08:04:39.9249895Z http.https://github.com/.extraheader 2025-09-07T08:04:39.9288094Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T08:04:39.9322214Z http.https://github.com/.extraheader 2025-09-07T08:04:39.9354389Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T08:04:39.9388619Z http.https://github.com/.extraheader 2025-09-07T08:04:39.9427502Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T08:04:39.9462804Z http.https://github.com/.extraheader 2025-09-07T08:04:39.9496860Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T08:04:39.9531403Z http.https://github.com/.extraheader 2025-09-07T08:04:39.9564387Z Entering 'third_party/fbgemm/external/json' 2025-09-07T08:04:39.9598505Z http.https://github.com/.extraheader 2025-09-07T08:04:39.9634401Z Entering 'third_party/flash-attention' 2025-09-07T08:04:39.9671154Z http.https://github.com/.extraheader 2025-09-07T08:04:39.9705015Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T08:04:39.9738863Z http.https://github.com/.extraheader 2025-09-07T08:04:39.9776111Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T08:04:39.9810355Z http.https://github.com/.extraheader 2025-09-07T08:04:39.9851560Z Entering 'third_party/flatbuffers' 2025-09-07T08:04:39.9887361Z http.https://github.com/.extraheader 2025-09-07T08:04:39.9922991Z Entering 'third_party/fmt' 2025-09-07T08:04:39.9957997Z http.https://github.com/.extraheader 2025-09-07T08:04:39.9990736Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T08:04:40.0026312Z http.https://github.com/.extraheader 2025-09-07T08:04:40.0059410Z Entering 'third_party/gloo' 2025-09-07T08:04:40.0094536Z http.https://github.com/.extraheader 2025-09-07T08:04:40.0127967Z Entering 'third_party/googletest' 2025-09-07T08:04:40.0163193Z http.https://github.com/.extraheader 2025-09-07T08:04:40.0196080Z Entering 'third_party/ideep' 2025-09-07T08:04:40.0231795Z http.https://github.com/.extraheader 2025-09-07T08:04:40.0264846Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T08:04:40.0298007Z http.https://github.com/.extraheader 2025-09-07T08:04:40.0337632Z Entering 'third_party/ittapi' 2025-09-07T08:04:40.0373262Z http.https://github.com/.extraheader 2025-09-07T08:04:40.0406533Z Entering 'third_party/kineto' 2025-09-07T08:04:40.0441647Z http.https://github.com/.extraheader 2025-09-07T08:04:40.0474289Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T08:04:40.0508774Z http.https://github.com/.extraheader 2025-09-07T08:04:40.0541330Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T08:04:40.0576668Z http.https://github.com/.extraheader 2025-09-07T08:04:40.0610895Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T08:04:40.0645283Z http.https://github.com/.extraheader 2025-09-07T08:04:40.0678867Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T08:04:40.0713741Z http.https://github.com/.extraheader 2025-09-07T08:04:40.0747167Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T08:04:40.0782852Z http.https://github.com/.extraheader 2025-09-07T08:04:40.0816267Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T08:04:40.0851293Z http.https://github.com/.extraheader 2025-09-07T08:04:40.0886777Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T08:04:40.0921745Z http.https://github.com/.extraheader 2025-09-07T08:04:40.0954336Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T08:04:40.0988412Z http.https://github.com/.extraheader 2025-09-07T08:04:40.1020979Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T08:04:40.1055087Z http.https://github.com/.extraheader 2025-09-07T08:04:40.1089474Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T08:04:40.1124082Z http.https://github.com/.extraheader 2025-09-07T08:04:40.1160119Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T08:04:40.1194748Z http.https://github.com/.extraheader 2025-09-07T08:04:40.1227115Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T08:04:40.1260829Z http.https://github.com/.extraheader 2025-09-07T08:04:40.1295553Z Entering 'third_party/kleidiai' 2025-09-07T08:04:40.1330750Z http.https://github.com/.extraheader 2025-09-07T08:04:40.1364810Z Entering 'third_party/mimalloc' 2025-09-07T08:04:40.1400007Z http.https://github.com/.extraheader 2025-09-07T08:04:40.1433214Z Entering 'third_party/nlohmann' 2025-09-07T08:04:40.1468258Z http.https://github.com/.extraheader 2025-09-07T08:04:40.1501366Z Entering 'third_party/onnx' 2025-09-07T08:04:40.1536375Z http.https://github.com/.extraheader 2025-09-07T08:04:40.1583079Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T08:04:40.1617305Z http.https://github.com/.extraheader 2025-09-07T08:04:40.1652745Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T08:04:40.1688622Z http.https://github.com/.extraheader 2025-09-07T08:04:40.1722302Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T08:04:40.1756015Z http.https://github.com/.extraheader 2025-09-07T08:04:40.1788891Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T08:04:40.1823551Z http.https://github.com/.extraheader 2025-09-07T08:04:40.1855311Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T08:04:40.1889597Z http.https://github.com/.extraheader 2025-09-07T08:04:40.1921768Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T08:04:40.1955596Z http.https://github.com/.extraheader 2025-09-07T08:04:40.1988368Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T08:04:40.2022361Z http.https://github.com/.extraheader 2025-09-07T08:04:40.2054386Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T08:04:40.2088529Z http.https://github.com/.extraheader 2025-09-07T08:04:40.2120688Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T08:04:40.2155162Z http.https://github.com/.extraheader 2025-09-07T08:04:40.2187369Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T08:04:40.2221365Z http.https://github.com/.extraheader 2025-09-07T08:04:40.2255589Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T08:04:40.2289947Z http.https://github.com/.extraheader 2025-09-07T08:04:40.2324120Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T08:04:40.2358329Z http.https://github.com/.extraheader 2025-09-07T08:04:40.2405900Z Entering 'third_party/pocketfft' 2025-09-07T08:04:40.2441770Z http.https://github.com/.extraheader 2025-09-07T08:04:40.2476561Z Entering 'third_party/protobuf' 2025-09-07T08:04:40.2511570Z http.https://github.com/.extraheader 2025-09-07T08:04:40.2546756Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T08:04:40.2581274Z http.https://github.com/.extraheader 2025-09-07T08:04:40.2613485Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T08:04:40.2647125Z http.https://github.com/.extraheader 2025-09-07T08:04:40.2680874Z Entering 'third_party/psimd' 2025-09-07T08:04:40.2715974Z http.https://github.com/.extraheader 2025-09-07T08:04:40.2749276Z Entering 'third_party/pthreadpool' 2025-09-07T08:04:40.2784470Z http.https://github.com/.extraheader 2025-09-07T08:04:40.2817595Z Entering 'third_party/pybind11' 2025-09-07T08:04:40.2854193Z http.https://github.com/.extraheader 2025-09-07T08:04:40.2887748Z Entering 'third_party/python-peachpy' 2025-09-07T08:04:40.2922438Z http.https://github.com/.extraheader 2025-09-07T08:04:40.2955795Z Entering 'third_party/sleef' 2025-09-07T08:04:40.2991294Z http.https://github.com/.extraheader 2025-09-07T08:04:40.3024027Z Entering 'third_party/tensorpipe' 2025-09-07T08:04:40.3059916Z http.https://github.com/.extraheader 2025-09-07T08:04:40.3093093Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T08:04:40.3126488Z http.https://github.com/.extraheader 2025-09-07T08:04:40.3159444Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T08:04:40.3193699Z http.https://github.com/.extraheader 2025-09-07T08:04:40.3225553Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T08:04:40.3259508Z http.https://github.com/.extraheader 2025-09-07T08:04:40.3292634Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T08:04:40.3326819Z http.https://github.com/.extraheader 2025-09-07T08:04:40.3358232Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T08:04:40.3393039Z http.https://github.com/.extraheader 2025-09-07T08:04:40.3524276Z A job completed hook has been configured by the self-hosted runner administrator 2025-09-07T08:04:40.3540987Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh' 2025-09-07T08:04:40.3546567Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:04:40.3546889Z ##[endgroup] 2025-09-07T08:04:40.3627080Z [!ALERT!] Swap in detected! [!ALERT!] 2025-09-07T08:04:50.0632653Z [!ALERT!] Swap out detected [!ALERT!] 2025-09-07T08:05:06.5341207Z Cleaning up orphan processes