2025-09-07T07:37:49.2585996Z Current runner version: '2.328.0' 2025-09-07T07:37:49.2590210Z Runner name: 'i-0ae25a36c56feb34d' 2025-09-07T07:37:49.2590885Z Runner group name: 'default' 2025-09-07T07:37:49.2591572Z Machine name: 'ip-10-0-46-10' 2025-09-07T07:37:49.2593486Z ##[group]GITHUB_TOKEN Permissions 2025-09-07T07:37:49.2595054Z Contents: read 2025-09-07T07:37:49.2595527Z Metadata: read 2025-09-07T07:37:49.2595909Z ##[endgroup] 2025-09-07T07:37:49.2597431Z Secret source: Actions 2025-09-07T07:37:49.2598180Z Prepare workflow directory 2025-09-07T07:37:49.2940348Z Prepare all required actions 2025-09-07T07:37:49.2970068Z Getting action download info 2025-09-07T07:37:49.5265571Z Download action repository 'pytorch/test-infra@main' (SHA:548a4bc624d43a01cdf165a63b041f0ae014ddbd) 2025-09-07T07:37:50.5970395Z Download action repository 'pytorch/pytorch@main' (SHA:ada43ed39c80b746b4822c92640a1882619e2795) 2025-09-07T07:38:03.1492880Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-09-07T07:38:03.4480905Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-09-07T07:38:03.6429019Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-09-07T07:38:03.8936004Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T07:38:04.1155880Z Getting action download info 2025-09-07T07:38:04.3514316Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-09-07T07:38:04.5662444Z Getting action download info 2025-09-07T07:38:04.6691366Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-09-07T07:38:04.8293755Z Getting action download info 2025-09-07T07:38:04.9242435Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-09-07T07:38:05.0700763Z Getting action download info 2025-09-07T07:38:05.1861851Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (93fb23d6fae7c4e82c4239a1033e522088742634) 2025-09-07T07:38:05.1864628Z ##[group] Inputs 2025-09-07T07:38:05.1864894Z build-environment: linux-jammy-py3.9-gcc11-build 2025-09-07T07:38:05.1867145Z test-matrix: {"include": [{"config": "inductor_huggingface_perf_cpu_x86", "shard": 1, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_huggingface_perf_cpu_x86", "shard": 2, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_huggingface_perf_cpu_x86", "shard": 3, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 1, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 2, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 3, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 4, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 5, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 1, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 2, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 3, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 4, "num_shards": 4, "runner": "linux.24xl.spr-metal"}]} 2025-09-07T07:38:05.1869988Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:38:05.1870582Z sync-tag: 2025-09-07T07:38:05.1871099Z timeout-minutes: 720 2025-09-07T07:38:05.1871276Z use-gha: 2025-09-07T07:38:05.1871702Z dashboard-tag: training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true 2025-09-07T07:38:05.1872148Z s3-bucket: gha-artifacts 2025-09-07T07:38:05.1872337Z aws-role-to-assume: 2025-09-07T07:38:05.1872688Z disable-monitor: false 2025-09-07T07:38:05.1872889Z monitor-log-interval: 15 2025-09-07T07:38:05.1873082Z monitor-data-collect-interval: 4 2025-09-07T07:38:05.1873292Z ##[endgroup] 2025-09-07T07:38:05.1873632Z Complete job name: inductor-test-nightly-freezing / test (inductor_torchbench_perf_cpu_x86, 1, 4, linux.24xl.spr-metal) 2025-09-07T07:38:05.2636861Z A job started hook has been configured by the self-hosted runner administrator 2025-09-07T07:38:05.2704313Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-09-07T07:38:05.2710425Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:38:05.2710826Z ##[endgroup] 2025-09-07T07:38:06.1706909Z Runner Type: linux.24xl.spr-metal 2025-09-07T07:38:06.1707250Z Instance Type: c7i.metal-24xl 2025-09-07T07:38:06.1729473Z AMI Name: unknown 2025-09-07T07:38:06.1729654Z AMI ID: ami-05ffe3c48a9991133 2025-09-07T07:38:09.8097099Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-09-07T07:38:09.8097390Z with: 2025-09-07T07:38:09.8097901Z github-secret: *** 2025-09-07T07:38:09.8098335Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-09-07T07:38:09.8098789Z activate-with-label: false 2025-09-07T07:38:09.8098983Z label: with-ssh 2025-09-07T07:38:09.8099156Z remove-existing-keys: true 2025-09-07T07:38:09.8099332Z fail-silently: true 2025-09-07T07:38:09.8099514Z env: 2025-09-07T07:38:09.8099662Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:38:09.8099849Z ##[endgroup] 2025-09-07T07:38:09.9127169Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-09-07T07:38:09.9127959Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-09-07T07:38:09.9265833Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-09-07T07:38:09.9266108Z with: 2025-09-07T07:38:09.9266257Z no-sudo: true 2025-09-07T07:38:09.9266421Z submodules: recursive 2025-09-07T07:38:09.9266597Z fetch-depth: 0 2025-09-07T07:38:09.9266746Z env: 2025-09-07T07:38:09.9266895Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:38:09.9267085Z ##[endgroup] 2025-09-07T07:38:09.9319901Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:38:09.9320458Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:38:09.9327253Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:38:09.9327508Z env: 2025-09-07T07:38:09.9327682Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:38:09.9327892Z ##[endgroup] 2025-09-07T07:38:09.9388936Z ##[group]Run # Use all available CPUs for fetching 2025-09-07T07:38:09.9389235Z # Use all available CPUs for fetching 2025-09-07T07:38:09.9389451Z cd "${GITHUB_WORKSPACE}" 2025-09-07T07:38:09.9389663Z git config --global fetch.parallel 0 2025-09-07T07:38:09.9389905Z git config --global submodule.fetchJobs 0 2025-09-07T07:38:09.9390115Z  2025-09-07T07:38:09.9390346Z # Clean workspace. The default checkout action should also do this, but 2025-09-07T07:38:09.9390621Z # do it here as well just in case 2025-09-07T07:38:09.9390826Z if [[ -d .git ]]; then 2025-09-07T07:38:09.9391019Z  if [ -z "${NO_SUDO}" ]; then 2025-09-07T07:38:09.9391216Z  sudo git clean -ffdx 2025-09-07T07:38:09.9391391Z  else 2025-09-07T07:38:09.9391654Z  git clean -ffdx 2025-09-07T07:38:09.9391827Z  fi 2025-09-07T07:38:09.9391972Z fi 2025-09-07T07:38:09.9395610Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:38:09.9395841Z env: 2025-09-07T07:38:09.9396078Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:38:09.9396268Z NO_SUDO: true 2025-09-07T07:38:09.9396425Z ##[endgroup] 2025-09-07T07:38:09.9493111Z ##[group]Run actions/checkout@v4 2025-09-07T07:38:09.9493326Z with: 2025-09-07T07:38:09.9493503Z ref: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:38:09.9493715Z fetch-depth: 0 2025-09-07T07:38:09.9493872Z submodules: recursive 2025-09-07T07:38:09.9494047Z show-progress: false 2025-09-07T07:38:09.9494227Z repository: pytorch/pytorch 2025-09-07T07:38:09.9494495Z token: *** 2025-09-07T07:38:09.9494648Z ssh-strict: true 2025-09-07T07:38:09.9494797Z ssh-user: git 2025-09-07T07:38:09.9494957Z persist-credentials: true 2025-09-07T07:38:09.9495135Z clean: true 2025-09-07T07:38:09.9495315Z sparse-checkout-cone-mode: true 2025-09-07T07:38:09.9495507Z fetch-tags: false 2025-09-07T07:38:09.9495659Z lfs: false 2025-09-07T07:38:09.9495815Z set-safe-directory: true 2025-09-07T07:38:09.9495992Z env: 2025-09-07T07:38:09.9496137Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:38:09.9496308Z ##[endgroup] 2025-09-07T07:38:10.0313038Z Syncing repository: pytorch/pytorch 2025-09-07T07:38:10.0313965Z ##[group]Getting Git version info 2025-09-07T07:38:10.0314286Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-09-07T07:38:10.0314705Z [command]/usr/bin/git version 2025-09-07T07:38:10.0514384Z git version 2.47.1 2025-09-07T07:38:10.0529620Z ##[endgroup] 2025-09-07T07:38:10.0536912Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/bb05e9b3-f7b3-4b8b-9c91-f851c5fc9c10/.gitconfig' 2025-09-07T07:38:10.0554938Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/bb05e9b3-f7b3-4b8b-9c91-f851c5fc9c10' before making global git config changes 2025-09-07T07:38:10.0555545Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T07:38:10.0558579Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:38:10.0595847Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-09-07T07:38:10.0598143Z ##[group]Initializing the repository 2025-09-07T07:38:10.0601180Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:38:10.0647931Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-09-07T07:38:10.0648306Z hint: is subject to change. To configure the initial branch name to use in all 2025-09-07T07:38:10.0648659Z hint: of your new repositories, which will suppress this warning, call: 2025-09-07T07:38:10.0648917Z hint: 2025-09-07T07:38:10.0649130Z hint: git config --global init.defaultBranch 2025-09-07T07:38:10.0649369Z hint: 2025-09-07T07:38:10.0649591Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-09-07T07:38:10.0649940Z hint: 'development'. The just-created branch can be renamed via this command: 2025-09-07T07:38:10.0650215Z hint: 2025-09-07T07:38:10.0650380Z hint: git branch -m 2025-09-07T07:38:10.0665536Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-09-07T07:38:10.0672633Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-09-07T07:38:10.0702278Z ##[endgroup] 2025-09-07T07:38:10.0702575Z ##[group]Disabling automatic garbage collection 2025-09-07T07:38:10.0705178Z [command]/usr/bin/git config --local gc.auto 0 2025-09-07T07:38:10.0724824Z ##[endgroup] 2025-09-07T07:38:10.0725082Z ##[group]Setting up auth 2025-09-07T07:38:10.0729688Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T07:38:10.0750925Z [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' || :" 2025-09-07T07:38:10.1048109Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T07:38:10.1071160Z [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' || :" 2025-09-07T07:38:10.1326989Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:38:10.1369191Z ##[endgroup] 2025-09-07T07:38:10.1369515Z ##[group]Fetching the repository 2025-09-07T07:38:10.1374480Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T07:38:43.3627236Z From https://github.com/pytorch/pytorch 2025-09-07T07:38:43.3627601Z * [new branch] 160583 -> origin/160583 2025-09-07T07:38:43.3627943Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-09-07T07:38:43.3631714Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-09-07T07:38:43.3632126Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-09-07T07:38:43.3632542Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-09-07T07:38:43.3632889Z * [new branch] ISSUE-154849 -> origin/ISSUE-154849 2025-09-07T07:38:43.3633253Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-09-07T07:38:43.3633628Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-09-07T07:38:43.3634058Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-09-07T07:38:43.3634455Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-09-07T07:38:43.3635135Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-09-07T07:38:43.3635483Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-09-07T07:38:43.3635791Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-09-07T07:38:43.3636125Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-09-07T07:38:43.3636440Z * [new branch] VLA_exp -> origin/VLA_exp 2025-09-07T07:38:43.3636779Z * [new branch] actually-run-mps-aot-inductor -> origin/actually-run-mps-aot-inductor 2025-09-07T07:38:43.3637186Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-09-07T07:38:43.3637563Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-09-07T07:38:43.3637910Z * [new branch] add-vllm-nightly-build -> origin/add-vllm-nightly-build 2025-09-07T07:38:43.3638267Z * [new branch] add_compile_benchmarking -> origin/add_compile_benchmarking 2025-09-07T07:38:43.3638586Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-09-07T07:38:43.3638878Z * [new branch] addsimde -> origin/addsimde 2025-09-07T07:38:43.3639147Z * [new branch] addvllmtest -> origin/addvllmtest 2025-09-07T07:38:43.3639438Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-09-07T07:38:43.3639716Z * [new branch] adi/test -> origin/adi/test 2025-09-07T07:38:43.3639993Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-09-07T07:38:43.3640287Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-09-07T07:38:43.3640689Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-09-07T07:38:43.3641089Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-09-07T07:38:43.3641394Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-09-07T07:38:43.3641695Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-09-07T07:38:43.3642335Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-09-07T07:38:43.3642918Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-09-07T07:38:43.3643810Z * [new branch] alt-disable -> origin/alt-disable 2025-09-07T07:38:43.3644808Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-09-07T07:38:43.3645364Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-09-07T07:38:43.3645905Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-09-07T07:38:43.3646571Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-09-07T07:38:43.3647234Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-09-07T07:38:43.3647737Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-09-07T07:38:43.3648537Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 2025-09-07T07:38:43.3649155Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-09-07T07:38:43.3650000Z * [new branch] angelayi/fake_cache_empty -> origin/angelayi/fake_cache_empty 2025-09-07T07:38:43.3650497Z * [new branch] angelayi/is_symbolic_tracing -> origin/angelayi/is_symbolic_tracing 2025-09-07T07:38:43.3650989Z * [new branch] angelayi/item -> origin/angelayi/item 2025-09-07T07:38:43.3651669Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-09-07T07:38:43.3652171Z * [new branch] angelayi/opoverload -> origin/angelayi/opoverload 2025-09-07T07:38:43.3652746Z * [new branch] angelayi/pattern -> origin/angelayi/pattern 2025-09-07T07:38:43.3653598Z * [new branch] angelayi/pytree -> origin/angelayi/pytree 2025-09-07T07:38:43.3654106Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-09-07T07:38:43.3654665Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-09-07T07:38:43.3655221Z * [new branch] angelayi/test_cpp -> origin/angelayi/test_cpp 2025-09-07T07:38:43.3655751Z * [new branch] angelayi/torch_size -> origin/angelayi/torch_size 2025-09-07T07:38:43.3656356Z 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2025-09-07T07:38:43.6738505Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-09-07T07:38:43.6739235Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-09-07T07:38:43.6739610Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-09-07T07:38:43.6740178Z * [new tag] ciflow/binaries/156049 -> ciflow/binaries/156049 2025-09-07T07:38:43.6740460Z * [new tag] ciflow/binaries/156712 -> ciflow/binaries/156712 2025-09-07T07:38:43.6740763Z * [new tag] ciflow/binaries/157432 -> ciflow/binaries/157432 2025-09-07T07:38:43.6741159Z * [new tag] ciflow/binaries/157685 -> ciflow/binaries/157685 2025-09-07T07:38:43.6741447Z * [new tag] ciflow/binaries/157689 -> ciflow/binaries/157689 2025-09-07T07:38:43.6741732Z * [new tag] ciflow/binaries/158104 -> ciflow/binaries/158104 2025-09-07T07:38:43.6742172Z * [new tag] ciflow/binaries/160229 -> ciflow/binaries/160229 2025-09-07T07:38:43.6742581Z * [new tag] ciflow/binaries/160720 -> ciflow/binaries/160720 2025-09-07T07:38:43.6742958Z * [new tag] ciflow/binaries/162080 -> ciflow/binaries/162080 2025-09-07T07:38:43.6743293Z * [new tag] ciflow/binaries/162329 -> ciflow/binaries/162329 2025-09-07T07:38:43.6743718Z * [new tag] ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049 2025-09-07T07:38:43.6744066Z * [new tag] ciflow/binaries_libtorch/156711 -> ciflow/binaries_libtorch/156711 2025-09-07T07:38:43.6744346Z * [new tag] ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432 2025-09-07T07:38:43.6744764Z * [new tag] ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049 2025-09-07T07:38:43.6745083Z * [new tag] ciflow/binaries_wheel/156711 -> ciflow/binaries_wheel/156711 2025-09-07T07:38:43.6745394Z * [new tag] ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432 2025-09-07T07:38:43.6745745Z * [new tag] ciflow/binaries_wheel/162136 -> ciflow/binaries_wheel/162136 2025-09-07T07:38:43.6746063Z * [new tag] ciflow/binaries_wheel/162252 -> ciflow/binaries_wheel/162252 2025-09-07T07:38:43.6746477Z * [new tag] ciflow/binaries_wheel/162325 -> ciflow/binaries_wheel/162325 2025-09-07T07:38:43.6747081Z * [new tag] ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703 2025-09-07T07:38:43.6747347Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-09-07T07:38:43.6747749Z * [new tag] ciflow/h100-symm-mem/161984 -> ciflow/h100-symm-mem/161984 2025-09-07T07:38:43.6748029Z * [new tag] ciflow/h100-symm-mem/162003 -> ciflow/h100-symm-mem/162003 2025-09-07T07:38:43.6748417Z * [new tag] ciflow/h100-symm-mem/162011 -> ciflow/h100-symm-mem/162011 2025-09-07T07:38:43.6748687Z * [new tag] ciflow/h100-symm-mem/162026 -> ciflow/h100-symm-mem/162026 2025-09-07T07:38:43.6749036Z * [new tag] ciflow/h100-symm-mem/162033 -> ciflow/h100-symm-mem/162033 2025-09-07T07:38:43.6749397Z * [new tag] ciflow/h100-symm-mem/162040 -> ciflow/h100-symm-mem/162040 2025-09-07T07:38:43.6749716Z * [new tag] ciflow/h100-symm-mem/162041 -> ciflow/h100-symm-mem/162041 2025-09-07T07:38:43.6750020Z * [new tag] ciflow/h100-symm-mem/162142 -> ciflow/h100-symm-mem/162142 2025-09-07T07:38:43.6750372Z * [new tag] ciflow/h100-symm-mem/162150 -> ciflow/h100-symm-mem/162150 2025-09-07T07:38:43.6750681Z * [new tag] ciflow/h100-symm-mem/162243 -> ciflow/h100-symm-mem/162243 2025-09-07T07:38:43.6751253Z * [new tag] ciflow/h100-symm-mem/162320 -> ciflow/h100-symm-mem/162320 2025-09-07T07:38:43.6751647Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-09-07T07:38:43.6752373Z * [new tag] ciflow/h100/160480 -> ciflow/h100/160480 2025-09-07T07:38:43.6752721Z * [new tag] ciflow/h100/161749 -> ciflow/h100/161749 2025-09-07T07:38:43.6753567Z * [new tag] ciflow/h100/162022 -> ciflow/h100/162022 2025-09-07T07:38:43.6753873Z * [new tag] ciflow/h100/162278 -> ciflow/h100/162278 2025-09-07T07:38:43.6754446Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/156592 -> ciflow/inductor-perf-test-nightly-rocm/156592 2025-09-07T07:38:43.6754925Z * [new tag] ciflow/inductor-perf-test-nightly/156592 -> ciflow/inductor-perf-test-nightly/156592 2025-09-07T07:38:43.6755335Z * [new tag] ciflow/inductor-periodic/162063 -> ciflow/inductor-periodic/162063 2025-09-07T07:38:43.6755694Z * [new tag] ciflow/inductor-periodic/162227 -> ciflow/inductor-periodic/162227 2025-09-07T07:38:43.6756058Z * [new tag] ciflow/inductor-periodic/162323 -> ciflow/inductor-periodic/162323 2025-09-07T07:38:43.6756514Z * [new tag] ciflow/inductor-rocm/154170 -> ciflow/inductor-rocm/154170 2025-09-07T07:38:43.6757115Z * [new tag] ciflow/inductor-rocm/159146 -> ciflow/inductor-rocm/159146 2025-09-07T07:38:43.6757350Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-09-07T07:38:43.6757807Z * [new tag] ciflow/inductor-rocm/161715 -> ciflow/inductor-rocm/161715 2025-09-07T07:38:43.6758255Z * [new tag] ciflow/inductor-rocm/162053 -> ciflow/inductor-rocm/162053 2025-09-07T07:38:43.6758927Z * [new tag] ciflow/inductor-rocm/162056 -> ciflow/inductor-rocm/162056 2025-09-07T07:38:43.6759224Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-09-07T07:38:43.6759558Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-09-07T07:38:43.6759870Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-09-07T07:38:43.6760300Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-09-07T07:38:43.6760678Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-09-07T07:38:43.6760849Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-09-07T07:38:43.6761149Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-09-07T07:38:43.6761482Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-09-07T07:38:43.6761849Z * [new tag] ciflow/inductor/156592 -> ciflow/inductor/156592 2025-09-07T07:38:43.6762208Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-09-07T07:38:43.6762556Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-09-07T07:38:43.6762998Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-09-07T07:38:43.6763459Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-09-07T07:38:43.6763856Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-09-07T07:38:43.6764496Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-09-07T07:38:43.6764733Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-09-07T07:38:43.6765099Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-09-07T07:38:43.6765413Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-09-07T07:38:43.6766008Z * [new tag] ciflow/inductor/158404 -> ciflow/inductor/158404 2025-09-07T07:38:43.6766253Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-09-07T07:38:43.6766647Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-09-07T07:38:43.6767037Z * [new tag] ciflow/inductor/159146 -> ciflow/inductor/159146 2025-09-07T07:38:43.6767411Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-09-07T07:38:43.6767826Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-09-07T07:38:43.6768168Z * [new tag] ciflow/inductor/159664 -> ciflow/inductor/159664 2025-09-07T07:38:43.6768600Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-09-07T07:38:43.6768903Z * [new tag] ciflow/inductor/159835 -> ciflow/inductor/159835 2025-09-07T07:38:43.6769403Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-09-07T07:38:43.6770056Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-09-07T07:38:43.6770329Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-09-07T07:38:43.6770892Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-09-07T07:38:43.6771348Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-09-07T07:38:43.6771797Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-09-07T07:38:43.6772369Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-09-07T07:38:43.6772712Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-09-07T07:38:43.6773079Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-09-07T07:38:43.6773482Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-09-07T07:38:43.6773866Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-09-07T07:38:43.6774468Z * [new tag] ciflow/inductor/160532 -> ciflow/inductor/160532 2025-09-07T07:38:43.6775302Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-09-07T07:38:43.6775553Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-09-07T07:38:43.6775914Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-09-07T07:38:43.6776275Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-09-07T07:38:43.6776580Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-09-07T07:38:43.6776900Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-09-07T07:38:43.6777241Z * [new tag] ciflow/inductor/160690 -> ciflow/inductor/160690 2025-09-07T07:38:43.6777644Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-09-07T07:38:43.6778074Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-09-07T07:38:43.6778469Z * [new tag] ciflow/inductor/160798 -> ciflow/inductor/160798 2025-09-07T07:38:43.6778887Z * [new tag] ciflow/inductor/160836 -> ciflow/inductor/160836 2025-09-07T07:38:43.6779204Z * [new tag] ciflow/inductor/160843 -> ciflow/inductor/160843 2025-09-07T07:38:43.6779908Z * [new tag] ciflow/inductor/160869 -> ciflow/inductor/160869 2025-09-07T07:38:43.6780143Z * [new tag] ciflow/inductor/160920 -> ciflow/inductor/160920 2025-09-07T07:38:43.6780498Z * [new tag] ciflow/inductor/160928 -> ciflow/inductor/160928 2025-09-07T07:38:43.6780871Z * [new tag] ciflow/inductor/160943 -> ciflow/inductor/160943 2025-09-07T07:38:43.6781159Z * [new tag] ciflow/inductor/161092 -> ciflow/inductor/161092 2025-09-07T07:38:43.6781530Z * [new tag] ciflow/inductor/161093 -> ciflow/inductor/161093 2025-09-07T07:38:43.6781938Z * [new tag] ciflow/inductor/161109 -> ciflow/inductor/161109 2025-09-07T07:38:43.6782349Z * [new tag] ciflow/inductor/161118 -> ciflow/inductor/161118 2025-09-07T07:38:43.6782906Z * [new tag] ciflow/inductor/161178 -> ciflow/inductor/161178 2025-09-07T07:38:43.6783171Z * [new tag] ciflow/inductor/161246 -> ciflow/inductor/161246 2025-09-07T07:38:43.6783966Z * [new tag] ciflow/inductor/161349 -> ciflow/inductor/161349 2025-09-07T07:38:43.6784175Z * [new tag] ciflow/inductor/161350 -> ciflow/inductor/161350 2025-09-07T07:38:43.6784508Z * [new tag] ciflow/inductor/161351 -> ciflow/inductor/161351 2025-09-07T07:38:43.6784952Z * [new tag] ciflow/inductor/161397 -> ciflow/inductor/161397 2025-09-07T07:38:43.6785332Z * [new tag] ciflow/inductor/161404 -> ciflow/inductor/161404 2025-09-07T07:38:43.6785641Z * [new tag] ciflow/inductor/161405 -> ciflow/inductor/161405 2025-09-07T07:38:43.6785980Z * [new tag] ciflow/inductor/161406 -> ciflow/inductor/161406 2025-09-07T07:38:43.6786541Z * [new tag] ciflow/inductor/161410 -> ciflow/inductor/161410 2025-09-07T07:38:43.6786795Z * [new tag] ciflow/inductor/161414 -> ciflow/inductor/161414 2025-09-07T07:38:43.6787458Z * [new tag] ciflow/inductor/161442 -> ciflow/inductor/161442 2025-09-07T07:38:43.6787644Z * [new tag] ciflow/inductor/161458 -> ciflow/inductor/161458 2025-09-07T07:38:43.6788018Z * [new tag] ciflow/inductor/161468 -> ciflow/inductor/161468 2025-09-07T07:38:43.6788402Z * [new tag] ciflow/inductor/161469 -> ciflow/inductor/161469 2025-09-07T07:38:43.6788799Z * [new tag] ciflow/inductor/161485 -> ciflow/inductor/161485 2025-09-07T07:38:43.6789146Z * [new tag] ciflow/inductor/161499 -> ciflow/inductor/161499 2025-09-07T07:38:43.6789457Z * [new tag] ciflow/inductor/161534 -> ciflow/inductor/161534 2025-09-07T07:38:43.6789812Z * [new tag] ciflow/inductor/161595 -> ciflow/inductor/161595 2025-09-07T07:38:43.6790197Z * [new tag] ciflow/inductor/161596 -> ciflow/inductor/161596 2025-09-07T07:38:43.6790959Z * [new tag] ciflow/inductor/161630 -> ciflow/inductor/161630 2025-09-07T07:38:43.6791201Z * [new tag] ciflow/inductor/161667 -> ciflow/inductor/161667 2025-09-07T07:38:43.6791556Z * [new tag] ciflow/inductor/161670 -> ciflow/inductor/161670 2025-09-07T07:38:43.6791921Z * [new tag] ciflow/inductor/161673 -> ciflow/inductor/161673 2025-09-07T07:38:43.6792307Z * [new tag] ciflow/inductor/161674 -> ciflow/inductor/161674 2025-09-07T07:38:43.6792611Z * [new tag] ciflow/inductor/161675 -> ciflow/inductor/161675 2025-09-07T07:38:43.6792965Z * [new tag] ciflow/inductor/161693 -> ciflow/inductor/161693 2025-09-07T07:38:43.6793271Z * [new tag] ciflow/inductor/161695 -> ciflow/inductor/161695 2025-09-07T07:38:43.6793848Z * [new tag] ciflow/inductor/161715 -> ciflow/inductor/161715 2025-09-07T07:38:43.6794128Z * [new tag] ciflow/inductor/161730 -> ciflow/inductor/161730 2025-09-07T07:38:43.6794439Z * [new tag] ciflow/inductor/161732 -> ciflow/inductor/161732 2025-09-07T07:38:43.6794938Z * [new tag] ciflow/inductor/161744 -> ciflow/inductor/161744 2025-09-07T07:38:43.6795259Z * [new tag] ciflow/inductor/161746 -> ciflow/inductor/161746 2025-09-07T07:38:43.6795592Z * [new tag] ciflow/inductor/161747 -> ciflow/inductor/161747 2025-09-07T07:38:43.6795937Z * [new tag] ciflow/inductor/161819 -> ciflow/inductor/161819 2025-09-07T07:38:43.6796304Z * [new tag] ciflow/inductor/161821 -> ciflow/inductor/161821 2025-09-07T07:38:43.6796663Z * [new tag] ciflow/inductor/161828 -> ciflow/inductor/161828 2025-09-07T07:38:43.6796984Z * [new tag] ciflow/inductor/161879 -> ciflow/inductor/161879 2025-09-07T07:38:43.6797323Z * [new tag] ciflow/inductor/161880 -> ciflow/inductor/161880 2025-09-07T07:38:43.6797671Z * [new tag] ciflow/inductor/161881 -> ciflow/inductor/161881 2025-09-07T07:38:43.6798118Z * [new tag] ciflow/inductor/161907 -> ciflow/inductor/161907 2025-09-07T07:38:43.6798433Z * [new tag] ciflow/inductor/161914 -> ciflow/inductor/161914 2025-09-07T07:38:43.6798895Z * [new tag] ciflow/inductor/161924 -> ciflow/inductor/161924 2025-09-07T07:38:43.6799268Z * [new tag] ciflow/inductor/161936 -> ciflow/inductor/161936 2025-09-07T07:38:43.6799621Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-09-07T07:38:43.6799982Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-09-07T07:38:43.6800304Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-09-07T07:38:43.6800666Z * [new tag] ciflow/inductor/161955 -> ciflow/inductor/161955 2025-09-07T07:38:43.6800987Z * [new tag] ciflow/inductor/161957 -> ciflow/inductor/161957 2025-09-07T07:38:43.6801334Z * [new tag] ciflow/inductor/161975 -> ciflow/inductor/161975 2025-09-07T07:38:43.6801696Z * [new tag] ciflow/inductor/161977 -> ciflow/inductor/161977 2025-09-07T07:38:43.6802100Z * [new tag] ciflow/inductor/161978 -> ciflow/inductor/161978 2025-09-07T07:38:43.6802417Z * [new tag] ciflow/inductor/161979 -> ciflow/inductor/161979 2025-09-07T07:38:43.6802772Z * [new tag] ciflow/inductor/161980 -> ciflow/inductor/161980 2025-09-07T07:38:43.6803097Z * [new tag] ciflow/inductor/161988 -> ciflow/inductor/161988 2025-09-07T07:38:43.6803476Z * [new tag] ciflow/inductor/161994 -> ciflow/inductor/161994 2025-09-07T07:38:43.6803840Z * [new tag] ciflow/inductor/162013 -> ciflow/inductor/162013 2025-09-07T07:38:43.6804239Z * [new tag] ciflow/inductor/162014 -> ciflow/inductor/162014 2025-09-07T07:38:43.6804580Z * [new tag] ciflow/inductor/162017 -> ciflow/inductor/162017 2025-09-07T07:38:43.6804929Z * [new tag] ciflow/inductor/162021 -> ciflow/inductor/162021 2025-09-07T07:38:43.6805255Z * [new tag] ciflow/inductor/162023 -> ciflow/inductor/162023 2025-09-07T07:38:43.6805654Z * [new tag] ciflow/inductor/162027 -> ciflow/inductor/162027 2025-09-07T07:38:43.6805963Z * [new tag] ciflow/inductor/162029 -> ciflow/inductor/162029 2025-09-07T07:38:43.6806283Z * [new tag] ciflow/inductor/162030 -> ciflow/inductor/162030 2025-09-07T07:38:43.6806654Z * [new tag] ciflow/inductor/162031 -> ciflow/inductor/162031 2025-09-07T07:38:43.6806960Z * [new tag] ciflow/inductor/162033 -> ciflow/inductor/162033 2025-09-07T07:38:43.6808118Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-09-07T07:38:43.6808468Z * [new tag] ciflow/inductor/162053 -> ciflow/inductor/162053 2025-09-07T07:38:43.6808816Z * [new tag] ciflow/inductor/162056 -> ciflow/inductor/162056 2025-09-07T07:38:43.6809182Z * [new tag] ciflow/inductor/162063 -> ciflow/inductor/162063 2025-09-07T07:38:43.6809502Z * [new tag] ciflow/inductor/162066 -> ciflow/inductor/162066 2025-09-07T07:38:43.6809866Z * [new tag] ciflow/inductor/162068 -> ciflow/inductor/162068 2025-09-07T07:38:43.6810421Z * [new tag] ciflow/inductor/162081 -> ciflow/inductor/162081 2025-09-07T07:38:43.6810672Z * [new tag] ciflow/inductor/162088 -> ciflow/inductor/162088 2025-09-07T07:38:43.6811041Z * [new tag] ciflow/inductor/162089 -> ciflow/inductor/162089 2025-09-07T07:38:43.6811363Z * [new tag] ciflow/inductor/162094 -> ciflow/inductor/162094 2025-09-07T07:38:43.6811736Z * [new tag] ciflow/inductor/162098 -> ciflow/inductor/162098 2025-09-07T07:38:43.6812104Z * [new tag] ciflow/inductor/162101 -> ciflow/inductor/162101 2025-09-07T07:38:43.6812415Z * [new tag] ciflow/inductor/162102 -> ciflow/inductor/162102 2025-09-07T07:38:43.6812783Z * [new tag] ciflow/inductor/162104 -> ciflow/inductor/162104 2025-09-07T07:38:43.6813116Z * [new tag] ciflow/inductor/162106 -> ciflow/inductor/162106 2025-09-07T07:38:43.6813485Z * [new tag] ciflow/inductor/162108 -> ciflow/inductor/162108 2025-09-07T07:38:43.6813930Z * [new tag] ciflow/inductor/162126 -> ciflow/inductor/162126 2025-09-07T07:38:43.6814243Z * [new tag] ciflow/inductor/162149 -> ciflow/inductor/162149 2025-09-07T07:38:43.6814596Z * [new tag] ciflow/inductor/162164 -> ciflow/inductor/162164 2025-09-07T07:38:43.6814926Z * [new tag] ciflow/inductor/162166 -> ciflow/inductor/162166 2025-09-07T07:38:43.6815333Z * [new tag] ciflow/inductor/162169 -> ciflow/inductor/162169 2025-09-07T07:38:43.6815699Z * [new tag] ciflow/inductor/162170 -> ciflow/inductor/162170 2025-09-07T07:38:43.6816063Z * [new tag] ciflow/inductor/162171 -> ciflow/inductor/162171 2025-09-07T07:38:43.6816379Z * [new tag] ciflow/inductor/162183 -> ciflow/inductor/162183 2025-09-07T07:38:43.6816739Z * [new tag] ciflow/inductor/162189 -> ciflow/inductor/162189 2025-09-07T07:38:43.6817053Z * [new tag] ciflow/inductor/162190 -> ciflow/inductor/162190 2025-09-07T07:38:43.6817407Z * [new tag] ciflow/inductor/162191 -> ciflow/inductor/162191 2025-09-07T07:38:43.6817833Z * [new tag] ciflow/inductor/162194 -> ciflow/inductor/162194 2025-09-07T07:38:43.6818267Z * [new tag] ciflow/inductor/162200 -> ciflow/inductor/162200 2025-09-07T07:38:43.6818584Z * [new tag] ciflow/inductor/162201 -> ciflow/inductor/162201 2025-09-07T07:38:43.6818948Z * [new tag] ciflow/inductor/162208 -> ciflow/inductor/162208 2025-09-07T07:38:43.6819511Z * [new tag] ciflow/inductor/162211 -> ciflow/inductor/162211 2025-09-07T07:38:43.6819814Z * [new tag] ciflow/inductor/162216 -> ciflow/inductor/162216 2025-09-07T07:38:43.6820143Z * [new tag] ciflow/inductor/162220 -> ciflow/inductor/162220 2025-09-07T07:38:43.6820705Z * [new tag] ciflow/inductor/162222 -> ciflow/inductor/162222 2025-09-07T07:38:43.6820979Z * [new tag] ciflow/inductor/162227 -> ciflow/inductor/162227 2025-09-07T07:38:43.6821286Z * [new tag] ciflow/inductor/162238 -> ciflow/inductor/162238 2025-09-07T07:38:43.6821603Z * [new tag] ciflow/inductor/162239 -> ciflow/inductor/162239 2025-09-07T07:38:43.6821970Z * [new tag] ciflow/inductor/162240 -> ciflow/inductor/162240 2025-09-07T07:38:43.6822311Z * [new tag] ciflow/inductor/162244 -> ciflow/inductor/162244 2025-09-07T07:38:43.6822680Z * [new tag] ciflow/inductor/162245 -> ciflow/inductor/162245 2025-09-07T07:38:43.6823031Z * [new tag] ciflow/inductor/162262 -> ciflow/inductor/162262 2025-09-07T07:38:43.6823374Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-09-07T07:38:43.6823758Z * [new tag] ciflow/inductor/162278 -> ciflow/inductor/162278 2025-09-07T07:38:43.6824088Z * [new tag] ciflow/inductor/162284 -> ciflow/inductor/162284 2025-09-07T07:38:43.6824447Z * [new tag] ciflow/inductor/162286 -> ciflow/inductor/162286 2025-09-07T07:38:43.6824758Z * [new tag] ciflow/inductor/162288 -> ciflow/inductor/162288 2025-09-07T07:38:43.6825107Z * [new tag] ciflow/inductor/162293 -> ciflow/inductor/162293 2025-09-07T07:38:43.6825418Z * [new tag] ciflow/inductor/162294 -> ciflow/inductor/162294 2025-09-07T07:38:43.6825906Z * [new tag] ciflow/inductor/162295 -> ciflow/inductor/162295 2025-09-07T07:38:43.6826324Z * [new tag] ciflow/inductor/162296 -> ciflow/inductor/162296 2025-09-07T07:38:43.6826702Z * [new tag] ciflow/inductor/162298 -> ciflow/inductor/162298 2025-09-07T07:38:43.6827025Z * [new tag] ciflow/inductor/162307 -> ciflow/inductor/162307 2025-09-07T07:38:43.6827382Z * [new tag] ciflow/inductor/162309 -> ciflow/inductor/162309 2025-09-07T07:38:43.6827777Z * [new tag] ciflow/inductor/162311 -> ciflow/inductor/162311 2025-09-07T07:38:43.6828096Z * [new tag] ciflow/inductor/162312 -> ciflow/inductor/162312 2025-09-07T07:38:43.6828458Z * [new tag] ciflow/inductor/162315 -> ciflow/inductor/162315 2025-09-07T07:38:43.6828792Z * [new tag] ciflow/inductor/162316 -> ciflow/inductor/162316 2025-09-07T07:38:43.6829097Z * [new tag] ciflow/inductor/162318 -> ciflow/inductor/162318 2025-09-07T07:38:43.6829479Z * [new tag] ciflow/inductor/162323 -> ciflow/inductor/162323 2025-09-07T07:38:43.6829842Z * [new tag] ciflow/inductor/162341 -> ciflow/inductor/162341 2025-09-07T07:38:43.6830167Z * [new tag] ciflow/inductor/162345 -> ciflow/inductor/162345 2025-09-07T07:38:43.6830775Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-09-07T07:38:43.6831175Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-09-07T07:38:43.6831978Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-09-07T07:38:43.6832416Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-09-07T07:38:43.6832734Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-09-07T07:38:43.6833099Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-09-07T07:38:43.6833540Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-09-07T07:38:43.6833849Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-09-07T07:38:43.6834146Z * [new tag] ciflow/mps/161988 -> ciflow/mps/161988 2025-09-07T07:38:43.6834500Z * [new tag] ciflow/mps/162108 -> ciflow/mps/162108 2025-09-07T07:38:43.6834806Z * [new tag] ciflow/mps/162153 -> ciflow/mps/162153 2025-09-07T07:38:43.6835109Z * [new tag] ciflow/mps/162281 -> ciflow/mps/162281 2025-09-07T07:38:43.6835713Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-09-07T07:38:43.6835936Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-09-07T07:38:43.6836376Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-09-07T07:38:43.6837081Z * [new tag] ciflow/periodic-rocm-mi300/161529 -> ciflow/periodic-rocm-mi300/161529 2025-09-07T07:38:43.6837355Z * [new tag] ciflow/periodic-rocm-mi300/161715 -> ciflow/periodic-rocm-mi300/161715 2025-09-07T07:38:43.6838016Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-09-07T07:38:43.6838280Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-09-07T07:38:43.6838557Z * [new tag] ciflow/periodic/161715 -> ciflow/periodic/161715 2025-09-07T07:38:43.6838894Z * [new tag] ciflow/periodic/162021 -> ciflow/periodic/162021 2025-09-07T07:38:43.6839176Z * [new tag] ciflow/periodic/162323 -> ciflow/periodic/162323 2025-09-07T07:38:43.6839742Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-09-07T07:38:43.6840100Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-09-07T07:38:43.6840516Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-09-07T07:38:43.6841166Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-09-07T07:38:43.6841545Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-09-07T07:38:43.6842223Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-09-07T07:38:43.6842847Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-09-07T07:38:43.6843430Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-09-07T07:38:43.6843799Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-09-07T07:38:43.6844466Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-09-07T07:38:43.6845049Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-09-07T07:38:43.6845393Z * [new tag] ciflow/rocm-mi300/154170 -> ciflow/rocm-mi300/154170 2025-09-07T07:38:43.6846157Z * [new tag] ciflow/rocm-mi300/158747 -> ciflow/rocm-mi300/158747 2025-09-07T07:38:43.6846465Z * [new tag] ciflow/rocm-mi300/159146 -> ciflow/rocm-mi300/159146 2025-09-07T07:38:43.6846745Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-09-07T07:38:43.6847092Z * [new tag] ciflow/rocm-mi300/161715 -> ciflow/rocm-mi300/161715 2025-09-07T07:38:43.6847358Z * [new tag] ciflow/rocm-mi300/161957 -> ciflow/rocm-mi300/161957 2025-09-07T07:38:43.6847675Z * [new tag] ciflow/rocm-mi300/162053 -> ciflow/rocm-mi300/162053 2025-09-07T07:38:43.6848017Z * [new tag] ciflow/rocm-mi300/162056 -> ciflow/rocm-mi300/162056 2025-09-07T07:38:43.6848397Z * [new tag] ciflow/rocm-mi300/162112 -> ciflow/rocm-mi300/162112 2025-09-07T07:38:43.6848779Z * [new tag] ciflow/rocm-mi300/162245 -> ciflow/rocm-mi300/162245 2025-09-07T07:38:43.6849134Z * [new tag] ciflow/rocm-mi300/162278 -> ciflow/rocm-mi300/162278 2025-09-07T07:38:43.6849589Z * [new tag] ciflow/rocm-mi300/162288 -> ciflow/rocm-mi300/162288 2025-09-07T07:38:43.6850001Z * [new tag] ciflow/rocm-mi355/162053 -> ciflow/rocm-mi355/162053 2025-09-07T07:38:43.6850417Z * [new tag] ciflow/rocm-mi355/162056 -> ciflow/rocm-mi355/162056 2025-09-07T07:38:43.6850834Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-09-07T07:38:43.6851199Z * [new tag] ciflow/rocm/154170 -> ciflow/rocm/154170 2025-09-07T07:38:43.6851765Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-09-07T07:38:43.6852048Z * [new tag] ciflow/rocm/156592 -> ciflow/rocm/156592 2025-09-07T07:38:43.6852355Z * [new tag] ciflow/rocm/158747 -> ciflow/rocm/158747 2025-09-07T07:38:43.6852678Z * [new tag] ciflow/rocm/159146 -> ciflow/rocm/159146 2025-09-07T07:38:43.6853179Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-09-07T07:38:43.6853499Z * [new tag] ciflow/rocm/161715 -> ciflow/rocm/161715 2025-09-07T07:38:43.6853850Z * [new tag] ciflow/rocm/161972 -> ciflow/rocm/161972 2025-09-07T07:38:43.6854159Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-09-07T07:38:43.6854491Z * [new tag] ciflow/rocm/162053 -> ciflow/rocm/162053 2025-09-07T07:38:43.6855039Z * [new tag] ciflow/rocm/162056 -> ciflow/rocm/162056 2025-09-07T07:38:43.6855410Z * [new tag] ciflow/rocm/162112 -> ciflow/rocm/162112 2025-09-07T07:38:43.6855826Z * [new tag] ciflow/rocm/162278 -> ciflow/rocm/162278 2025-09-07T07:38:43.6856136Z * [new tag] ciflow/rocm/162288 -> ciflow/rocm/162288 2025-09-07T07:38:43.6856498Z * [new tag] ciflow/rocm/162305 -> ciflow/rocm/162305 2025-09-07T07:38:43.6863502Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-09-07T07:38:43.6863922Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-09-07T07:38:43.6864721Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-09-07T07:38:43.6864961Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-09-07T07:38:43.6865275Z * [new tag] ciflow/slow/161395 -> ciflow/slow/161395 2025-09-07T07:38:43.6865890Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-09-07T07:38:43.6866213Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-09-07T07:38:43.6866648Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-09-07T07:38:43.6867382Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-09-07T07:38:43.6867957Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-09-07T07:38:43.6868330Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-09-07T07:38:43.6868775Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-09-07T07:38:43.6869438Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-09-07T07:38:43.6870184Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-09-07T07:38:43.6870387Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-09-07T07:38:43.6870890Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-09-07T07:38:43.6871236Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-09-07T07:38:43.6871836Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-09-07T07:38:43.6872206Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-09-07T07:38:43.6873048Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-09-07T07:38:43.6873253Z * [new tag] ciflow/triton_binaries/162329 -> ciflow/triton_binaries/162329 2025-09-07T07:38:43.6873647Z * [new tag] ciflow/trunk/113258 -> ciflow/trunk/113258 2025-09-07T07:38:43.6874009Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-09-07T07:38:43.6874290Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-09-07T07:38:43.6874695Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-09-07T07:38:43.6874978Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-09-07T07:38:43.6875929Z * [new tag] ciflow/trunk/148919 -> ciflow/trunk/148919 2025-09-07T07:38:43.6876247Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-09-07T07:38:43.6876511Z * [new tag] ciflow/trunk/154170 -> ciflow/trunk/154170 2025-09-07T07:38:43.6876822Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-09-07T07:38:43.6877162Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-09-07T07:38:43.6877513Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-09-07T07:38:43.6877942Z * [new tag] ciflow/trunk/156711 -> ciflow/trunk/156711 2025-09-07T07:38:43.6878542Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-09-07T07:38:43.6878796Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-09-07T07:38:43.6879160Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-09-07T07:38:43.6879496Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-09-07T07:38:43.6879836Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-09-07T07:38:43.6880176Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-09-07T07:38:43.6880615Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-09-07T07:38:43.6880930Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-09-07T07:38:43.6881505Z * [new tag] ciflow/trunk/158404 -> ciflow/trunk/158404 2025-09-07T07:38:43.6881759Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-09-07T07:38:43.6882387Z * [new tag] ciflow/trunk/158846 -> ciflow/trunk/158846 2025-09-07T07:38:43.6882619Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-09-07T07:38:43.6883190Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-09-07T07:38:43.6883450Z * [new tag] ciflow/trunk/159835 -> ciflow/trunk/159835 2025-09-07T07:38:43.6883730Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-09-07T07:38:43.6884105Z * [new tag] ciflow/trunk/160236 -> ciflow/trunk/160236 2025-09-07T07:38:43.6884422Z * [new tag] ciflow/trunk/160329 -> ciflow/trunk/160329 2025-09-07T07:38:43.6884747Z * [new tag] ciflow/trunk/160480 -> ciflow/trunk/160480 2025-09-07T07:38:43.6885108Z * [new tag] ciflow/trunk/160532 -> ciflow/trunk/160532 2025-09-07T07:38:43.6885699Z * [new tag] ciflow/trunk/160836 -> ciflow/trunk/160836 2025-09-07T07:38:43.6885912Z * [new tag] ciflow/trunk/160843 -> ciflow/trunk/160843 2025-09-07T07:38:43.6886181Z * [new tag] ciflow/trunk/160869 -> ciflow/trunk/160869 2025-09-07T07:38:43.6886478Z * [new tag] ciflow/trunk/160928 -> ciflow/trunk/160928 2025-09-07T07:38:43.6886902Z * [new tag] ciflow/trunk/160940 -> ciflow/trunk/160940 2025-09-07T07:38:43.6887222Z * [new tag] ciflow/trunk/160943 -> ciflow/trunk/160943 2025-09-07T07:38:43.6887819Z * [new tag] ciflow/trunk/160953 -> ciflow/trunk/160953 2025-09-07T07:38:43.6888104Z * [new tag] ciflow/trunk/161035 -> ciflow/trunk/161035 2025-09-07T07:38:43.6888501Z * [new tag] ciflow/trunk/161178 -> ciflow/trunk/161178 2025-09-07T07:38:43.6888858Z * [new tag] ciflow/trunk/161349 -> ciflow/trunk/161349 2025-09-07T07:38:43.6889165Z * [new tag] ciflow/trunk/161350 -> ciflow/trunk/161350 2025-09-07T07:38:43.6889505Z * [new tag] ciflow/trunk/161351 -> ciflow/trunk/161351 2025-09-07T07:38:43.6889878Z * [new tag] ciflow/trunk/161395 -> ciflow/trunk/161395 2025-09-07T07:38:43.6890189Z * [new tag] ciflow/trunk/161405 -> ciflow/trunk/161405 2025-09-07T07:38:43.6890550Z * [new tag] ciflow/trunk/161406 -> ciflow/trunk/161406 2025-09-07T07:38:43.6890869Z * [new tag] ciflow/trunk/161410 -> ciflow/trunk/161410 2025-09-07T07:38:43.6891210Z * [new tag] ciflow/trunk/161468 -> ciflow/trunk/161468 2025-09-07T07:38:43.6891808Z * [new tag] ciflow/trunk/161499 -> ciflow/trunk/161499 2025-09-07T07:38:43.6892221Z * [new tag] ciflow/trunk/161527 -> ciflow/trunk/161527 2025-09-07T07:38:43.6892820Z * [new tag] ciflow/trunk/161534 -> ciflow/trunk/161534 2025-09-07T07:38:43.6893000Z * [new tag] ciflow/trunk/161591 -> ciflow/trunk/161591 2025-09-07T07:38:43.6893355Z * [new tag] ciflow/trunk/161595 -> ciflow/trunk/161595 2025-09-07T07:38:43.6893666Z * [new tag] ciflow/trunk/161596 -> ciflow/trunk/161596 2025-09-07T07:38:43.6894018Z * [new tag] ciflow/trunk/161633 -> ciflow/trunk/161633 2025-09-07T07:38:43.6894419Z * [new tag] ciflow/trunk/161634 -> ciflow/trunk/161634 2025-09-07T07:38:43.6894786Z * [new tag] ciflow/trunk/161635 -> ciflow/trunk/161635 2025-09-07T07:38:43.6895130Z * [new tag] ciflow/trunk/161667 -> ciflow/trunk/161667 2025-09-07T07:38:43.6895451Z * [new tag] ciflow/trunk/161670 -> ciflow/trunk/161670 2025-09-07T07:38:43.6895821Z * [new tag] ciflow/trunk/161692 -> ciflow/trunk/161692 2025-09-07T07:38:43.6896166Z * [new tag] ciflow/trunk/161693 -> ciflow/trunk/161693 2025-09-07T07:38:43.6896520Z * [new tag] ciflow/trunk/161695 -> ciflow/trunk/161695 2025-09-07T07:38:43.6896832Z * [new tag] ciflow/trunk/161730 -> ciflow/trunk/161730 2025-09-07T07:38:43.6897178Z * [new tag] ciflow/trunk/161744 -> ciflow/trunk/161744 2025-09-07T07:38:43.6897517Z * [new tag] ciflow/trunk/161749 -> ciflow/trunk/161749 2025-09-07T07:38:43.6897841Z * [new tag] ciflow/trunk/161881 -> ciflow/trunk/161881 2025-09-07T07:38:43.6898187Z * [new tag] ciflow/trunk/161924 -> ciflow/trunk/161924 2025-09-07T07:38:43.6898741Z * [new tag] ciflow/trunk/161926 -> ciflow/trunk/161926 2025-09-07T07:38:43.6899003Z * [new tag] ciflow/trunk/161936 -> ciflow/trunk/161936 2025-09-07T07:38:43.6899675Z * [new tag] ciflow/trunk/161952 -> ciflow/trunk/161952 2025-09-07T07:38:43.6899986Z * [new tag] ciflow/trunk/161955 -> ciflow/trunk/161955 2025-09-07T07:38:43.6900292Z * [new tag] ciflow/trunk/161957 -> ciflow/trunk/161957 2025-09-07T07:38:43.6900632Z * [new tag] ciflow/trunk/161959 -> ciflow/trunk/161959 2025-09-07T07:38:43.6900955Z * [new tag] ciflow/trunk/161977 -> ciflow/trunk/161977 2025-09-07T07:38:43.6901320Z * [new tag] ciflow/trunk/161988 -> ciflow/trunk/161988 2025-09-07T07:38:43.6901630Z * [new tag] ciflow/trunk/161994 -> ciflow/trunk/161994 2025-09-07T07:38:43.6902050Z * [new tag] ciflow/trunk/162007 -> ciflow/trunk/162007 2025-09-07T07:38:43.6902407Z * [new tag] ciflow/trunk/162013 -> ciflow/trunk/162013 2025-09-07T07:38:43.6902742Z * [new tag] ciflow/trunk/162017 -> ciflow/trunk/162017 2025-09-07T07:38:43.6903162Z * [new tag] ciflow/trunk/162021 -> ciflow/trunk/162021 2025-09-07T07:38:43.6903495Z * [new tag] ciflow/trunk/162022 -> ciflow/trunk/162022 2025-09-07T07:38:43.6903864Z * [new tag] ciflow/trunk/162040 -> ciflow/trunk/162040 2025-09-07T07:38:43.6904280Z * [new tag] ciflow/trunk/162041 -> ciflow/trunk/162041 2025-09-07T07:38:43.6904690Z * [new tag] ciflow/trunk/162062 -> ciflow/trunk/162062 2025-09-07T07:38:43.6905049Z * [new tag] ciflow/trunk/162066 -> ciflow/trunk/162066 2025-09-07T07:38:43.6905406Z * [new tag] ciflow/trunk/162089 -> ciflow/trunk/162089 2025-09-07T07:38:43.6905737Z * [new tag] ciflow/trunk/162099 -> ciflow/trunk/162099 2025-09-07T07:38:43.6906110Z * [new tag] ciflow/trunk/162104 -> ciflow/trunk/162104 2025-09-07T07:38:43.6906413Z * [new tag] ciflow/trunk/162106 -> ciflow/trunk/162106 2025-09-07T07:38:43.6906752Z * [new tag] ciflow/trunk/162112 -> ciflow/trunk/162112 2025-09-07T07:38:43.6907111Z * [new tag] ciflow/trunk/162119 -> ciflow/trunk/162119 2025-09-07T07:38:43.6907423Z * [new tag] ciflow/trunk/162142 -> ciflow/trunk/162142 2025-09-07T07:38:43.6907774Z * [new tag] ciflow/trunk/162169 -> ciflow/trunk/162169 2025-09-07T07:38:43.6908136Z * [new tag] ciflow/trunk/162183 -> ciflow/trunk/162183 2025-09-07T07:38:43.6908493Z * [new tag] ciflow/trunk/162190 -> ciflow/trunk/162190 2025-09-07T07:38:43.6908809Z * [new tag] ciflow/trunk/162194 -> ciflow/trunk/162194 2025-09-07T07:38:43.6909161Z * [new tag] ciflow/trunk/162200 -> ciflow/trunk/162200 2025-09-07T07:38:43.6909534Z * [new tag] ciflow/trunk/162206 -> ciflow/trunk/162206 2025-09-07T07:38:43.6909864Z * [new tag] ciflow/trunk/162208 -> ciflow/trunk/162208 2025-09-07T07:38:43.6910219Z * [new tag] ciflow/trunk/162222 -> ciflow/trunk/162222 2025-09-07T07:38:43.6910508Z * [new tag] ciflow/trunk/162238 -> ciflow/trunk/162238 2025-09-07T07:38:43.6910873Z * [new tag] ciflow/trunk/162244 -> ciflow/trunk/162244 2025-09-07T07:38:43.6911486Z * [new tag] ciflow/trunk/162267 -> ciflow/trunk/162267 2025-09-07T07:38:43.6911748Z * [new tag] ciflow/trunk/162269 -> ciflow/trunk/162269 2025-09-07T07:38:43.6912127Z * [new tag] ciflow/trunk/162278 -> ciflow/trunk/162278 2025-09-07T07:38:43.6912423Z * [new tag] ciflow/trunk/162286 -> ciflow/trunk/162286 2025-09-07T07:38:43.6912947Z * [new tag] ciflow/trunk/162288 -> ciflow/trunk/162288 2025-09-07T07:38:43.6913173Z * [new tag] ciflow/trunk/162293 -> ciflow/trunk/162293 2025-09-07T07:38:43.6913614Z * [new tag] ciflow/trunk/162310 -> ciflow/trunk/162310 2025-09-07T07:38:43.6913918Z * [new tag] ciflow/trunk/162311 -> ciflow/trunk/162311 2025-09-07T07:38:43.6914275Z * [new tag] ciflow/trunk/162315 -> ciflow/trunk/162315 2025-09-07T07:38:43.6914602Z * [new tag] ciflow/trunk/162325 -> ciflow/trunk/162325 2025-09-07T07:38:43.6915159Z * [new tag] ciflow/trunk/162328 -> ciflow/trunk/162328 2025-09-07T07:38:43.6915434Z * [new tag] ciflow/trunk/162329 -> ciflow/trunk/162329 2025-09-07T07:38:43.6916198Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-09-07T07:38:43.6916601Z * [new tag] ciflow/vllm/162292 -> ciflow/vllm/162292 2025-09-07T07:38:43.6917007Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-09-07T07:38:43.6917344Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-09-07T07:38:43.6917783Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-09-07T07:38:43.6918144Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-09-07T07:38:43.6918523Z * [new tag] ciflow/xpu/159459 -> ciflow/xpu/159459 2025-09-07T07:38:43.6918828Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-09-07T07:38:43.6919176Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-09-07T07:38:43.6919608Z * [new tag] ciflow/xpu/160867 -> ciflow/xpu/160867 2025-09-07T07:38:43.6920002Z * [new tag] ciflow/xpu/160938 -> ciflow/xpu/160938 2025-09-07T07:38:43.6920343Z * [new tag] ciflow/xpu/160940 -> ciflow/xpu/160940 2025-09-07T07:38:43.6920636Z * [new tag] ciflow/xpu/160953 -> ciflow/xpu/160953 2025-09-07T07:38:43.6921062Z * [new tag] ciflow/xpu/161045 -> ciflow/xpu/161045 2025-09-07T07:38:43.6921612Z * [new tag] ciflow/xpu/161058 -> ciflow/xpu/161058 2025-09-07T07:38:43.6922033Z * [new tag] ciflow/xpu/161246 -> ciflow/xpu/161246 2025-09-07T07:38:43.6922587Z * [new tag] ciflow/xpu/161397 -> ciflow/xpu/161397 2025-09-07T07:38:43.6922911Z * [new tag] ciflow/xpu/161485 -> ciflow/xpu/161485 2025-09-07T07:38:43.6923251Z * [new tag] ciflow/xpu/161988 -> ciflow/xpu/161988 2025-09-07T07:38:43.6923582Z * [new tag] ciflow/xpu/162062 -> ciflow/xpu/162062 2025-09-07T07:38:43.6924150Z * [new tag] cslpull75 -> cslpull75 2025-09-07T07:38:43.6924500Z * [new tag] cslpull76 -> cslpull76 2025-09-07T07:38:43.6924906Z * [new tag] cslpull77 -> cslpull77 2025-09-07T07:38:43.6925469Z * [new tag] cslpull78 -> cslpull78 2025-09-07T07:38:43.6926023Z * [new tag] cslpull79 -> cslpull79 2025-09-07T07:38:43.6926579Z * [new tag] cslpull80 -> cslpull80 2025-09-07T07:38:43.6926892Z * [new tag] cslpull81 -> cslpull81 2025-09-07T07:38:43.6927316Z * [new tag] cslpull82 -> cslpull82 2025-09-07T07:38:43.6927905Z * [new tag] cslpull83 -> cslpull83 2025-09-07T07:38:43.6928270Z * [new tag] cslpull84 -> cslpull84 2025-09-07T07:38:43.6928637Z * [new tag] cslpull85 -> cslpull85 2025-09-07T07:38:43.6929423Z * [new tag] cslpull86 -> cslpull86 2025-09-07T07:38:43.6929594Z * [new tag] cslpull87 -> cslpull87 2025-09-07T07:38:43.6930041Z * [new tag] cslpull88 -> cslpull88 2025-09-07T07:38:43.6930455Z * [new tag] cslpull89 -> cslpull89 2025-09-07T07:38:43.6930723Z * [new tag] cslpull90 -> cslpull90 2025-09-07T07:38:43.6931604Z * [new tag] cslpull91 -> cslpull91 2025-09-07T07:38:43.6931953Z * [new tag] cslpull92 -> cslpull92 2025-09-07T07:38:43.6932355Z * [new tag] flight_5 -> flight_5 2025-09-07T07:38:43.6932967Z * [new tag] flight_5.1 -> flight_5.1 2025-09-07T07:38:43.6933320Z * [new tag] flight_5.2 -> flight_5.2 2025-09-07T07:38:43.6933719Z * [new tag] flight_5.3 -> flight_5.3 2025-09-07T07:38:43.6934128Z * [new tag] forpull1 -> forpull1 2025-09-07T07:38:43.6934787Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-09-07T07:38:43.6935188Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-09-07T07:38:43.6935595Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-09-07T07:38:43.6936157Z * [new tag] nightly-binary -> nightly-binary 2025-09-07T07:38:43.6936387Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-09-07T07:38:43.6937003Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-09-07T07:38:43.6937573Z * [new tag] trunk/00636e0171e7e733628c408084805442270cf608 -> trunk/00636e0171e7e733628c408084805442270cf608 2025-09-07T07:38:43.6938117Z * [new tag] trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 -> trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 2025-09-07T07:38:43.6938862Z * [new tag] trunk/01ab325cc2e0dc221af4d710974e1b9175066544 -> trunk/01ab325cc2e0dc221af4d710974e1b9175066544 2025-09-07T07:38:43.6939320Z * [new tag] trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b -> trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b 2025-09-07T07:38:43.6940077Z * [new tag] trunk/040d00af048967dde7938d358d7f5988cbd18388 -> trunk/040d00af048967dde7938d358d7f5988cbd18388 2025-09-07T07:38:43.6940461Z * [new tag] trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 -> trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 2025-09-07T07:38:43.6940963Z * [new tag] trunk/047603d35bdc70046216384838d6340feab79bf4 -> trunk/047603d35bdc70046216384838d6340feab79bf4 2025-09-07T07:38:43.6941440Z * [new tag] trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 -> trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 2025-09-07T07:38:43.6942109Z * [new tag] trunk/081cab045472ce045634548cc6c14a4870641e23 -> trunk/081cab045472ce045634548cc6c14a4870641e23 2025-09-07T07:38:43.6942524Z * [new tag] trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 -> trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 2025-09-07T07:38:43.6942950Z * [new tag] trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 -> trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 2025-09-07T07:38:43.6943386Z * [new tag] trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 -> trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 2025-09-07T07:38:43.6943820Z * [new tag] trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 -> trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 2025-09-07T07:38:43.6944860Z * [new tag] trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 -> trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 2025-09-07T07:38:43.6945344Z * [new tag] trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 -> trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 2025-09-07T07:38:43.6945768Z * [new tag] trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c -> trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c 2025-09-07T07:38:43.6946440Z * [new tag] trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 -> trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 2025-09-07T07:38:43.6946767Z * [new tag] trunk/0d84ff3b78f55492d3d4708458c92d776274939e -> trunk/0d84ff3b78f55492d3d4708458c92d776274939e 2025-09-07T07:38:43.6947198Z * [new tag] trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 -> trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 2025-09-07T07:38:43.6947631Z * [new tag] trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f -> trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f 2025-09-07T07:38:43.6948069Z * [new tag] trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f -> trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f 2025-09-07T07:38:43.6948534Z * [new tag] trunk/12814701555d3e41dfcdf8f9273af5821e322df0 -> trunk/12814701555d3e41dfcdf8f9273af5821e322df0 2025-09-07T07:38:43.6948992Z * [new tag] trunk/13b65196db422bdb394cb482e208c61ed448898c -> trunk/13b65196db422bdb394cb482e208c61ed448898c 2025-09-07T07:38:43.6949857Z * [new tag] trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 -> trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 2025-09-07T07:38:43.6950222Z * [new tag] trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 -> trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 2025-09-07T07:38:43.6950688Z * [new tag] trunk/146371483318e17929daefd37c8e459d9d6d47bb -> trunk/146371483318e17929daefd37c8e459d9d6d47bb 2025-09-07T07:38:43.6951148Z * [new tag] trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 -> trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 2025-09-07T07:38:43.6951607Z * [new tag] trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 -> trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 2025-09-07T07:38:43.6952541Z * [new tag] trunk/190c391a28845a14df26abb228d26aa813efb20c -> trunk/190c391a28845a14df26abb228d26aa813efb20c 2025-09-07T07:38:43.6952945Z * [new tag] trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 -> trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 2025-09-07T07:38:43.6953378Z * [new tag] trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 -> trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 2025-09-07T07:38:43.6953722Z * [new tag] trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 -> trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 2025-09-07T07:38:43.6954179Z * [new tag] trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a -> trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a 2025-09-07T07:38:43.6954864Z * [new tag] trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 -> trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 2025-09-07T07:38:43.6955223Z * [new tag] trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 -> trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 2025-09-07T07:38:43.6955656Z * [new tag] trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a -> trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a 2025-09-07T07:38:43.6956171Z * [new tag] trunk/1f820de639c75a1562d3fb03f160439f853ae07b -> trunk/1f820de639c75a1562d3fb03f160439f853ae07b 2025-09-07T07:38:43.6956620Z * [new tag] trunk/204697f0e695d82894c5010fbec664c4391f90cc -> trunk/204697f0e695d82894c5010fbec664c4391f90cc 2025-09-07T07:38:43.6957057Z * [new tag] trunk/20629b1619fe636227d01fc85ba221daa7185a05 -> trunk/20629b1619fe636227d01fc85ba221daa7185a05 2025-09-07T07:38:43.6957489Z * [new tag] trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 -> trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 2025-09-07T07:38:43.6957976Z * [new tag] trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd -> trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd 2025-09-07T07:38:43.6958565Z * [new tag] trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 -> trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 2025-09-07T07:38:43.6958948Z * [new tag] trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f -> trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f 2025-09-07T07:38:43.6959380Z * [new tag] trunk/25f4aaed9ec26f39c13862323ff8582006473d23 -> trunk/25f4aaed9ec26f39c13862323ff8582006473d23 2025-09-07T07:38:43.6959825Z * [new tag] trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 -> trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 2025-09-07T07:38:43.6960356Z * [new tag] trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f -> trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f 2025-09-07T07:38:43.6960841Z * [new tag] trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 -> trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 2025-09-07T07:38:43.6961304Z * [new tag] trunk/29280864d941e6108ab57f7298f520c0cf9696e9 -> trunk/29280864d941e6108ab57f7298f520c0cf9696e9 2025-09-07T07:38:43.6961804Z * [new tag] trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 -> trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 2025-09-07T07:38:43.6962337Z * [new tag] trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef -> trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef 2025-09-07T07:38:43.6962789Z * [new tag] trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c -> trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c 2025-09-07T07:38:43.6963224Z * [new tag] trunk/2ba65472dd54488a86a50326ea990195fc6732d6 -> trunk/2ba65472dd54488a86a50326ea990195fc6732d6 2025-09-07T07:38:43.6963657Z * [new tag] trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 -> trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 2025-09-07T07:38:43.6964057Z * [new tag] trunk/2dd529df0092799f68ee7afcf52338276906706a -> trunk/2dd529df0092799f68ee7afcf52338276906706a 2025-09-07T07:38:43.6964561Z * [new tag] trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 -> trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 2025-09-07T07:38:43.6964935Z * [new tag] trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 -> trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 2025-09-07T07:38:43.6965381Z * [new tag] trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 -> trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 2025-09-07T07:38:43.6965803Z * [new tag] trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 -> trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 2025-09-07T07:38:43.6966187Z * [new tag] trunk/34aa78274d6770086025a967fa63a86830e08176 -> trunk/34aa78274d6770086025a967fa63a86830e08176 2025-09-07T07:38:43.6966612Z * [new tag] trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 -> trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 2025-09-07T07:38:43.6966967Z * [new tag] trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b -> trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b 2025-09-07T07:38:43.6967295Z * [new tag] trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 -> trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 2025-09-07T07:38:43.6967958Z * [new tag] trunk/3771380f83fcac154a7c89ad679311d8c4818287 -> trunk/3771380f83fcac154a7c89ad679311d8c4818287 2025-09-07T07:38:43.6968287Z * [new tag] trunk/3a207816cc569f78863d86c01f2a3d265350e39f -> trunk/3a207816cc569f78863d86c01f2a3d265350e39f 2025-09-07T07:38:43.6968705Z * [new tag] trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 -> trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 2025-09-07T07:38:43.6969246Z * [new tag] trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 -> trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 2025-09-07T07:38:43.6969646Z * [new tag] trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f -> trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f 2025-09-07T07:38:43.6970128Z * [new tag] trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf -> trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf 2025-09-07T07:38:43.6970556Z * [new tag] trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 -> trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 2025-09-07T07:38:43.6971005Z * [new tag] trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d -> trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d 2025-09-07T07:38:43.6971467Z * [new tag] trunk/420c52ecf36f86d32da0853bfbe074b682b070aa -> trunk/420c52ecf36f86d32da0853bfbe074b682b070aa 2025-09-07T07:38:43.6971872Z * [new tag] trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 -> trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 2025-09-07T07:38:43.6972295Z * [new tag] trunk/451ed931562ec8b46d1f7e6c266a68132a119336 -> trunk/451ed931562ec8b46d1f7e6c266a68132a119336 2025-09-07T07:38:43.6972807Z * [new tag] trunk/480c7391126656154318fabf1d57ebc01e196e63 -> trunk/480c7391126656154318fabf1d57ebc01e196e63 2025-09-07T07:38:43.6973319Z * [new tag] trunk/48bedd753da22634aa94fbafeb731e82025404f3 -> trunk/48bedd753da22634aa94fbafeb731e82025404f3 2025-09-07T07:38:43.6973675Z * [new tag] trunk/494878a11b79071ada0b98f34042d47155be6d1c -> trunk/494878a11b79071ada0b98f34042d47155be6d1c 2025-09-07T07:38:43.6974111Z * [new tag] trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 -> trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 2025-09-07T07:38:43.6974574Z * [new tag] trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf -> trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf 2025-09-07T07:38:43.6974975Z * [new tag] trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e -> trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e 2025-09-07T07:38:43.6975449Z * [new tag] trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 -> trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 2025-09-07T07:38:43.6975852Z * [new tag] trunk/4f72d932feee0749397fec876dcd43994f50b215 -> trunk/4f72d932feee0749397fec876dcd43994f50b215 2025-09-07T07:38:43.6976355Z * [new tag] trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d -> trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d 2025-09-07T07:38:43.6976819Z * [new tag] trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 -> trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 2025-09-07T07:38:43.6977264Z * [new tag] trunk/524b78d4f67045b83bb69edc56ab16efe282971c -> trunk/524b78d4f67045b83bb69edc56ab16efe282971c 2025-09-07T07:38:43.6977714Z * [new tag] trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 -> trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 2025-09-07T07:38:43.6978079Z * [new tag] trunk/5561e45758d59c94605873d5db48ed459c004c3b -> trunk/5561e45758d59c94605873d5db48ed459c004c3b 2025-09-07T07:38:43.6978683Z * [new tag] trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 -> trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 2025-09-07T07:38:43.6979479Z * [new tag] trunk/5927a70934ccf7b70182d364c23245a7dd685503 -> trunk/5927a70934ccf7b70182d364c23245a7dd685503 2025-09-07T07:38:43.6979801Z * [new tag] trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 -> trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 2025-09-07T07:38:43.6980322Z * [new tag] trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 -> trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 2025-09-07T07:38:43.6980778Z * [new tag] trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 -> trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 2025-09-07T07:38:43.6981296Z * [new tag] trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 -> trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 2025-09-07T07:38:43.6981724Z * [new tag] trunk/5da573c42c332bc68d4b7946c69f690a876d951a -> trunk/5da573c42c332bc68d4b7946c69f690a876d951a 2025-09-07T07:38:43.6982198Z * [new tag] trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 -> trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 2025-09-07T07:38:43.6982594Z * [new tag] trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 -> trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 2025-09-07T07:38:43.6983027Z * [new tag] trunk/600c25e9a17fe56e3dee872be8854db08916ba0c -> trunk/600c25e9a17fe56e3dee872be8854db08916ba0c 2025-09-07T07:38:43.6983490Z * [new tag] trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 -> trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 2025-09-07T07:38:43.6984027Z * [new tag] trunk/6087ef41e54c2494b117ffd923faf20f515a6806 -> trunk/6087ef41e54c2494b117ffd923faf20f515a6806 2025-09-07T07:38:43.6984420Z * [new tag] trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 -> trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 2025-09-07T07:38:43.6984812Z * [new tag] trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 -> trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 2025-09-07T07:38:43.6985289Z * [new tag] trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 -> trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 2025-09-07T07:38:43.6985784Z * [new tag] trunk/65985937d97505f648b6ed852c3129f2dd08b251 -> trunk/65985937d97505f648b6ed852c3129f2dd08b251 2025-09-07T07:38:43.6986689Z * [new tag] trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 -> trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 2025-09-07T07:38:43.6986921Z * [new tag] trunk/6737e2c996990024187ba620d2764f3b6f6add2c -> trunk/6737e2c996990024187ba620d2764f3b6f6add2c 2025-09-07T07:38:43.6987418Z * [new tag] trunk/67c31dcd364f10072a55f4a30ffd1151c686283a -> trunk/67c31dcd364f10072a55f4a30ffd1151c686283a 2025-09-07T07:38:43.6987936Z * [new tag] trunk/68738beff73e9c3512e18b4edea811a897ce42db -> trunk/68738beff73e9c3512e18b4edea811a897ce42db 2025-09-07T07:38:43.6988390Z * [new tag] trunk/69a25f68884a168550695fdb1a7c310c54d29536 -> trunk/69a25f68884a168550695fdb1a7c310c54d29536 2025-09-07T07:38:43.6988802Z * [new tag] trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f -> trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f 2025-09-07T07:38:43.6989222Z * [new tag] trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 -> trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 2025-09-07T07:38:43.6989673Z * [new tag] trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b -> trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b 2025-09-07T07:38:43.6990175Z * [new tag] trunk/70d36e047dfb3488fd6335016711a784d810ebda -> trunk/70d36e047dfb3488fd6335016711a784d810ebda 2025-09-07T07:38:43.6990593Z * [new tag] trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b -> trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b 2025-09-07T07:38:43.6991005Z * [new tag] trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 -> trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 2025-09-07T07:38:43.6991502Z * [new tag] trunk/73eb4511fb863a37944342b7e92aae706de603c8 -> trunk/73eb4511fb863a37944342b7e92aae706de603c8 2025-09-07T07:38:43.6991988Z * [new tag] trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b -> trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b 2025-09-07T07:38:43.6992415Z * [new tag] trunk/771f369448321a387f2018535bc8b8b6e5f12fab -> trunk/771f369448321a387f2018535bc8b8b6e5f12fab 2025-09-07T07:38:43.6992907Z * [new tag] trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 -> trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 2025-09-07T07:38:43.6993791Z * [new tag] trunk/791eff96c85678c950888f9da24650083ee673fe -> trunk/791eff96c85678c950888f9da24650083ee673fe 2025-09-07T07:38:43.6994014Z * [new tag] trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 -> trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 2025-09-07T07:38:43.6994239Z * [new tag] trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 -> trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 2025-09-07T07:38:43.6994603Z * [new tag] trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 -> trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 2025-09-07T07:38:43.6995537Z * [new tag] trunk/8076a185c85112be62be292eb47409c88a585b1c -> trunk/8076a185c85112be62be292eb47409c88a585b1c 2025-09-07T07:38:43.6995760Z * [new tag] trunk/80dd397f1979371a5583fa3d5c7352029522a78d -> trunk/80dd397f1979371a5583fa3d5c7352029522a78d 2025-09-07T07:38:43.6996075Z * [new tag] trunk/8171d6052ec12628eb67e0040839314056014429 -> trunk/8171d6052ec12628eb67e0040839314056014429 2025-09-07T07:38:43.6996411Z * [new tag] trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 -> trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 2025-09-07T07:38:43.6996755Z * [new tag] trunk/81b7b16618bda250ce55982894a83dc0805eb64c -> trunk/81b7b16618bda250ce55982894a83dc0805eb64c 2025-09-07T07:38:43.6997160Z * [new tag] trunk/827f0d405448de31f79d1089f7d7fceab2f87895 -> trunk/827f0d405448de31f79d1089f7d7fceab2f87895 2025-09-07T07:38:43.6997643Z * [new tag] trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 -> trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 2025-09-07T07:38:43.6998118Z * [new tag] trunk/850e1382a9c56bfde18af09d3e72352d775e9435 -> trunk/850e1382a9c56bfde18af09d3e72352d775e9435 2025-09-07T07:38:43.6998652Z * [new tag] trunk/8678d831c48e616b717bff50f2d03141d2e9f965 -> trunk/8678d831c48e616b717bff50f2d03141d2e9f965 2025-09-07T07:38:43.6999147Z * [new tag] trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 -> trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 2025-09-07T07:38:43.6999643Z * [new tag] trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 -> trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 2025-09-07T07:38:43.7000149Z * [new tag] trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 -> trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 2025-09-07T07:38:43.7000722Z * [new tag] trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 -> trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 2025-09-07T07:38:43.7001213Z * [new tag] trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 -> trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 2025-09-07T07:38:43.7001722Z * [new tag] trunk/890626632def7e0ef95a2d01e87a0e4627824a9f -> trunk/890626632def7e0ef95a2d01e87a0e4627824a9f 2025-09-07T07:38:43.7002271Z * [new tag] trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 -> trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 2025-09-07T07:38:43.7002772Z * [new tag] trunk/89d41d3f61d04f14730ec26f008a59bef6624610 -> trunk/89d41d3f61d04f14730ec26f008a59bef6624610 2025-09-07T07:38:43.7003242Z * [new tag] trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 -> trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 2025-09-07T07:38:43.7003703Z * [new tag] trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af -> trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af 2025-09-07T07:38:43.7004566Z * [new tag] trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 -> trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 2025-09-07T07:38:43.7004971Z * [new tag] trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d -> trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d 2025-09-07T07:38:43.7005667Z * [new tag] trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 -> trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 2025-09-07T07:38:43.7006125Z * [new tag] trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 -> trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 2025-09-07T07:38:43.7006649Z * [new tag] trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab -> trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab 2025-09-07T07:38:43.7007125Z * [new tag] trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d -> trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d 2025-09-07T07:38:43.7007892Z * [new tag] trunk/93fb23d6fae7c4e82c4239a1033e522088742634 -> trunk/93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:38:43.7008227Z * [new tag] trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c -> trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c 2025-09-07T07:38:43.7008592Z * [new tag] trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e -> trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e 2025-09-07T07:38:43.7009154Z * [new tag] trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 -> trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 2025-09-07T07:38:43.7009584Z * [new tag] trunk/9499c8761cd2067feb9877414e818f6fd00290f1 -> trunk/9499c8761cd2067feb9877414e818f6fd00290f1 2025-09-07T07:38:43.7010416Z * [new tag] trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 -> trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 2025-09-07T07:38:43.7010803Z * [new tag] trunk/98374612fc2febd686be20761e56bdc2424bc36a -> trunk/98374612fc2febd686be20761e56bdc2424bc36a 2025-09-07T07:38:43.7011473Z * [new tag] trunk/98efc9e93d8fc61eb53cb91378443617cb550500 -> trunk/98efc9e93d8fc61eb53cb91378443617cb550500 2025-09-07T07:38:43.7011866Z * [new tag] trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 -> trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 2025-09-07T07:38:43.7012354Z * [new tag] trunk/99f356fa58c8d726cef022d8710f5491291158f6 -> trunk/99f356fa58c8d726cef022d8710f5491291158f6 2025-09-07T07:38:43.7012849Z * [new tag] trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 -> trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 2025-09-07T07:38:43.7013301Z * [new tag] trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd -> trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd 2025-09-07T07:38:43.7013788Z * [new tag] trunk/9aedb3cd87b52160872173c177f61053d97bed57 -> trunk/9aedb3cd87b52160872173c177f61053d97bed57 2025-09-07T07:38:43.7014236Z * [new tag] trunk/9b81fe281da41f2421506339d26b027a468902f4 -> trunk/9b81fe281da41f2421506339d26b027a468902f4 2025-09-07T07:38:43.7014715Z * [new tag] trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e -> trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e 2025-09-07T07:38:43.7015196Z * [new tag] trunk/9c03d6be87eedc06e524e202e07a7e776551a839 -> trunk/9c03d6be87eedc06e524e202e07a7e776551a839 2025-09-07T07:38:43.7015655Z * [new tag] trunk/9c957723a0fedd9c637e63e023a613019e2cab60 -> trunk/9c957723a0fedd9c637e63e023a613019e2cab60 2025-09-07T07:38:43.7016122Z * [new tag] trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 -> trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 2025-09-07T07:38:43.7016666Z * [new tag] trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 -> trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 2025-09-07T07:38:43.7017145Z * [new tag] trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 -> trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 2025-09-07T07:38:43.7017620Z * [new tag] trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 -> trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 2025-09-07T07:38:43.7018000Z * [new tag] trunk/a3c7f77e50f900721817934120d60c2361b3c40d -> trunk/a3c7f77e50f900721817934120d60c2361b3c40d 2025-09-07T07:38:43.7018508Z * [new tag] trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 -> trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 2025-09-07T07:38:43.7019045Z * [new tag] trunk/a3e5466002791da609fcb069155d8ee347baee92 -> trunk/a3e5466002791da609fcb069155d8ee347baee92 2025-09-07T07:38:43.7019550Z * [new tag] trunk/a714437093ed196eee28f7de454cf4c41badc098 -> trunk/a714437093ed196eee28f7de454cf4c41badc098 2025-09-07T07:38:43.7019955Z * [new tag] trunk/a75e8cd27098f290de0b7439685d05ce02e91356 -> trunk/a75e8cd27098f290de0b7439685d05ce02e91356 2025-09-07T07:38:43.7020398Z * [new tag] trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae -> trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae 2025-09-07T07:38:43.7020875Z * [new tag] trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 -> trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 2025-09-07T07:38:43.7021331Z * [new tag] trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e -> trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e 2025-09-07T07:38:43.7021785Z * [new tag] trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 -> trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 2025-09-07T07:38:43.7022250Z * [new tag] trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 -> trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 2025-09-07T07:38:43.7022710Z * [new tag] trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c -> trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c 2025-09-07T07:38:43.7023388Z * [new tag] trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 -> trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 2025-09-07T07:38:43.7023776Z * [new tag] trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d -> trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d 2025-09-07T07:38:43.7024301Z * [new tag] trunk/adae7f66aacf3f248c3101b858cf98d5809119fa -> trunk/adae7f66aacf3f248c3101b858cf98d5809119fa 2025-09-07T07:38:43.7024816Z * [new tag] trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c -> trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c 2025-09-07T07:38:43.7025289Z * [new tag] trunk/aed33a8fcbd60b052d4559d261390c5797129c6d -> trunk/aed33a8fcbd60b052d4559d261390c5797129c6d 2025-09-07T07:38:43.7025803Z * [new tag] trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 -> trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 2025-09-07T07:38:43.7026309Z * [new tag] trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f -> trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f 2025-09-07T07:38:43.7026829Z * [new tag] trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 -> trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 2025-09-07T07:38:43.7027292Z * [new tag] trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 -> trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 2025-09-07T07:38:43.7027748Z * [new tag] trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de -> trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de 2025-09-07T07:38:43.7028200Z * [new tag] trunk/b2b4add0e754411372060e1d7b4057a66439172b -> trunk/b2b4add0e754411372060e1d7b4057a66439172b 2025-09-07T07:38:43.7028691Z * [new tag] trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 -> trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 2025-09-07T07:38:43.7029152Z * [new tag] trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 -> trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 2025-09-07T07:38:43.7029634Z * [new tag] trunk/b4ad38279b178b7bd14355123c1101e2e853e77b -> trunk/b4ad38279b178b7bd14355123c1101e2e853e77b 2025-09-07T07:38:43.7030127Z * [new tag] trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde -> trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde 2025-09-07T07:38:43.7030808Z * [new tag] trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c -> trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c 2025-09-07T07:38:43.7031181Z * [new tag] trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 -> trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 2025-09-07T07:38:43.7031679Z * [new tag] trunk/b7e207ca9f046ddd716076965a0cce403ba99052 -> trunk/b7e207ca9f046ddd716076965a0cce403ba99052 2025-09-07T07:38:43.7032215Z * [new tag] trunk/b919560c4a7010e2d89facee25586269a994746e -> trunk/b919560c4a7010e2d89facee25586269a994746e 2025-09-07T07:38:43.7032782Z * [new tag] trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 -> trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 2025-09-07T07:38:43.7033250Z * [new tag] trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 -> trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 2025-09-07T07:38:43.7033817Z * [new tag] trunk/bb950284c7e72905994bc25dd436c10e48088d85 -> trunk/bb950284c7e72905994bc25dd436c10e48088d85 2025-09-07T07:38:43.7034288Z * [new tag] trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d -> trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d 2025-09-07T07:38:43.7034751Z * [new tag] trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 -> trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 2025-09-07T07:38:43.7035208Z * [new tag] trunk/bc505977fb66677a09c31155c987330fbb18a865 -> trunk/bc505977fb66677a09c31155c987330fbb18a865 2025-09-07T07:38:43.7035695Z * [new tag] trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 -> trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 2025-09-07T07:38:43.7036221Z * [new tag] trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 -> trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 2025-09-07T07:38:43.7036732Z * [new tag] trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 -> trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 2025-09-07T07:38:43.7037255Z * [new tag] trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf -> trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf 2025-09-07T07:38:43.7037927Z * [new tag] trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 -> trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 2025-09-07T07:38:43.7038343Z * [new tag] trunk/c10195e723eeeedd099ed8b73eda7184ca618fad -> trunk/c10195e723eeeedd099ed8b73eda7184ca618fad 2025-09-07T07:38:43.7038804Z * [new tag] trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 -> trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 2025-09-07T07:38:43.7039309Z * [new tag] trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 -> trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 2025-09-07T07:38:43.7039822Z * [new tag] trunk/c32111149921b48bfef909293f1049e21619ed76 -> trunk/c32111149921b48bfef909293f1049e21619ed76 2025-09-07T07:38:43.7040206Z * [new tag] trunk/c37103234afc832dcad307e9016230810957c9d5 -> trunk/c37103234afc832dcad307e9016230810957c9d5 2025-09-07T07:38:43.7040698Z * [new tag] trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 -> trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 2025-09-07T07:38:43.7041177Z * [new tag] trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd -> trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd 2025-09-07T07:38:43.7042035Z * [new tag] trunk/c465b3d52c5687fe910d35a5c75341b77f821741 -> trunk/c465b3d52c5687fe910d35a5c75341b77f821741 2025-09-07T07:38:43.7042439Z * [new tag] trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b -> trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b 2025-09-07T07:38:43.7042867Z * [new tag] trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 -> trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 2025-09-07T07:38:43.7043395Z * [new tag] trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 -> trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 2025-09-07T07:38:43.7043854Z * [new tag] trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b -> trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b 2025-09-07T07:38:43.7044337Z * [new tag] trunk/cbfb005f7cce79974795b148e265f594f59477c8 -> trunk/cbfb005f7cce79974795b148e265f594f59477c8 2025-09-07T07:38:43.7044843Z * [new tag] trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 -> trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 2025-09-07T07:38:43.7045567Z * [new tag] trunk/cd529b686d54bbaa443f5b310140de48422d96c7 -> trunk/cd529b686d54bbaa443f5b310140de48422d96c7 2025-09-07T07:38:43.7045873Z * [new tag] trunk/cec0ff122815582af5302360aff03676558c5c87 -> trunk/cec0ff122815582af5302360aff03676558c5c87 2025-09-07T07:38:43.7046413Z * [new tag] trunk/d11720efdb563d02cf4f7d324311fb15a755268e -> trunk/d11720efdb563d02cf4f7d324311fb15a755268e 2025-09-07T07:38:43.7046886Z * [new tag] trunk/d1706d9128ae24d9048167e80d3fe5196d19035e -> trunk/d1706d9128ae24d9048167e80d3fe5196d19035e 2025-09-07T07:38:43.7047446Z * [new tag] trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d -> trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d 2025-09-07T07:38:43.7048123Z * [new tag] trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 -> trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 2025-09-07T07:38:43.7048506Z * [new tag] trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e -> trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e 2025-09-07T07:38:43.7048988Z * [new tag] trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 -> trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 2025-09-07T07:38:43.7049451Z * [new tag] trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 -> trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 2025-09-07T07:38:43.7049914Z * [new tag] trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 -> trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 2025-09-07T07:38:43.7050319Z * [new tag] trunk/d5e0f4202ba14632e4d14862ace096609e763462 -> trunk/d5e0f4202ba14632e4d14862ace096609e763462 2025-09-07T07:38:43.7050868Z * [new tag] trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 -> trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 2025-09-07T07:38:43.7051855Z * [new tag] trunk/d64718503728001a1e78168fd7f2d4ff23e57285 -> trunk/d64718503728001a1e78168fd7f2d4ff23e57285 2025-09-07T07:38:43.7052281Z * [new tag] trunk/d67c29ad22670320d676b02e394274af34e8e643 -> trunk/d67c29ad22670320d676b02e394274af34e8e643 2025-09-07T07:38:43.7052952Z * [new tag] trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 -> trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 2025-09-07T07:38:43.7053395Z * [new tag] trunk/d711f27845abd45007ccab6076649ebd896c2661 -> trunk/d711f27845abd45007ccab6076649ebd896c2661 2025-09-07T07:38:43.7053884Z * [new tag] trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab -> trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab 2025-09-07T07:38:43.7054409Z * [new tag] trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 -> trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 2025-09-07T07:38:43.7054740Z * [new tag] trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 -> trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 2025-09-07T07:38:43.7055403Z * [new tag] trunk/dbec08729fb9848bebed6048c63831b87170d061 -> trunk/dbec08729fb9848bebed6048c63831b87170d061 2025-09-07T07:38:43.7055680Z * [new tag] trunk/dcf385395d838f38c8dca25913578230dd43099a -> trunk/dcf385395d838f38c8dca25913578230dd43099a 2025-09-07T07:38:43.7056181Z * [new tag] trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 -> trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 2025-09-07T07:38:43.7056686Z * [new tag] trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d -> trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d 2025-09-07T07:38:43.7057177Z * [new tag] trunk/e0a62b266c021b910ce6dc02a6c9429210487717 -> trunk/e0a62b266c021b910ce6dc02a6c9429210487717 2025-09-07T07:38:43.7057831Z * [new tag] trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 -> trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 2025-09-07T07:38:43.7058320Z * [new tag] trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 -> trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 2025-09-07T07:38:43.7058826Z * [new tag] trunk/e3068cdb446adefb5a875616ba37a60235391439 -> trunk/e3068cdb446adefb5a875616ba37a60235391439 2025-09-07T07:38:43.7059337Z * [new tag] trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 -> trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 2025-09-07T07:38:43.7059872Z * [new tag] trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 -> trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 2025-09-07T07:38:43.7060265Z * [new tag] trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 -> trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 2025-09-07T07:38:43.7060760Z * [new tag] trunk/e92cd9415377403b6e90585e764639e2e0b5973b -> trunk/e92cd9415377403b6e90585e764639e2e0b5973b 2025-09-07T07:38:43.7061180Z * [new tag] trunk/e9481b6617b5576b099d8ca5798111592e9ad090 -> trunk/e9481b6617b5576b099d8ca5798111592e9ad090 2025-09-07T07:38:43.7061582Z * [new tag] trunk/ea1883dfd3e42defe37b11202b878bb76defa087 -> trunk/ea1883dfd3e42defe37b11202b878bb76defa087 2025-09-07T07:38:43.7062087Z * [new tag] trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 -> trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 2025-09-07T07:38:43.7062528Z * [new tag] trunk/eb18d32bda75189494d955aa001ade15f10333de -> trunk/eb18d32bda75189494d955aa001ade15f10333de 2025-09-07T07:38:43.7062917Z * [new tag] trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 -> trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 2025-09-07T07:38:43.7063431Z * [new tag] trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 -> trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 2025-09-07T07:38:43.7063967Z * [new tag] trunk/f00445b43eee57e20bb9316fa796ca23bf73373b -> trunk/f00445b43eee57e20bb9316fa796ca23bf73373b 2025-09-07T07:38:43.7064465Z * [new tag] trunk/f0c391102b754e3b145e8c59231d2df563487e37 -> trunk/f0c391102b754e3b145e8c59231d2df563487e37 2025-09-07T07:38:43.7064999Z * [new tag] trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 -> trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 2025-09-07T07:38:43.7065563Z * [new tag] trunk/f36f285953700f971552083a5da9d0ceacb63bbd -> trunk/f36f285953700f971552083a5da9d0ceacb63bbd 2025-09-07T07:38:43.7066035Z * [new tag] trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb -> trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb 2025-09-07T07:38:43.7066419Z * [new tag] trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c -> trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c 2025-09-07T07:38:43.7067235Z * [new tag] trunk/f612045ce105f008b2b675e2fc870163babeb2e8 -> trunk/f612045ce105f008b2b675e2fc870163babeb2e8 2025-09-07T07:38:43.7067616Z * [new tag] trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c -> trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c 2025-09-07T07:38:43.7068030Z * [new tag] trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c -> trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c 2025-09-07T07:38:43.7068527Z * [new tag] trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 -> trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 2025-09-07T07:38:43.7068984Z * [new tag] trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 -> trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 2025-09-07T07:38:43.7069741Z * [new tag] trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa -> trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa 2025-09-07T07:38:43.7070139Z * [new tag] trunk/fea20775ad96bdca972a1811d7d3372f368614ab -> trunk/fea20775ad96bdca972a1811d7d3372f368614ab 2025-09-07T07:38:43.7070598Z * [new tag] trunk/fefee081642f87419a21dc852f7167d4640443cd -> trunk/fefee081642f87419a21dc852f7167d4640443cd 2025-09-07T07:38:43.7070917Z * [new tag] v0.1.1 -> v0.1.1 2025-09-07T07:38:43.7071470Z * [new tag] v0.1.10 -> v0.1.10 2025-09-07T07:38:43.7071765Z * [new tag] v0.1.11 -> v0.1.11 2025-09-07T07:38:43.7072359Z * [new tag] v0.1.12 -> v0.1.12 2025-09-07T07:38:43.7072570Z * [new tag] v0.1.2 -> v0.1.2 2025-09-07T07:38:43.7072981Z * [new tag] v0.1.3 -> v0.1.3 2025-09-07T07:38:43.7073377Z * [new tag] v0.1.4 -> v0.1.4 2025-09-07T07:38:43.7073866Z * [new tag] v0.1.5 -> v0.1.5 2025-09-07T07:38:43.7074198Z * [new tag] v0.1.6 -> v0.1.6 2025-09-07T07:38:43.7074849Z * [new tag] v0.1.7 -> v0.1.7 2025-09-07T07:38:43.7075000Z * [new tag] v0.1.8 -> v0.1.8 2025-09-07T07:38:43.7075370Z * [new tag] v0.1.9 -> v0.1.9 2025-09-07T07:38:43.7075842Z * [new tag] v0.2.0 -> v0.2.0 2025-09-07T07:38:43.7076242Z * [new tag] v0.3.0 -> v0.3.0 2025-09-07T07:38:43.7076832Z * [new tag] v0.3.1 -> v0.3.1 2025-09-07T07:38:43.7077134Z * [new tag] v0.4.0 -> v0.4.0 2025-09-07T07:38:43.7077663Z * [new tag] v0.4.1 -> v0.4.1 2025-09-07T07:38:43.7078029Z * [new tag] v1.0.0 -> v1.0.0 2025-09-07T07:38:43.7078442Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-09-07T07:38:43.7078871Z * [new tag] v1.0.1 -> v1.0.1 2025-09-07T07:38:43.7079424Z * [new tag] v1.0rc0 -> v1.0rc0 2025-09-07T07:38:43.7079678Z * [new tag] v1.0rc1 -> v1.0rc1 2025-09-07T07:38:43.7080277Z * [new tag] v1.1.0 -> v1.1.0 2025-09-07T07:38:43.7080667Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-09-07T07:38:43.7081721Z * [new tag] v1.10.0 -> v1.10.0 2025-09-07T07:38:43.7082223Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-09-07T07:38:43.7082627Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-09-07T07:38:43.7082974Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-09-07T07:38:43.7083561Z * [new tag] v1.10.1 -> v1.10.1 2025-09-07T07:38:43.7083812Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-09-07T07:38:43.7084166Z * [new tag] v1.10.2 -> v1.10.2 2025-09-07T07:38:43.7084450Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-09-07T07:38:43.7084993Z * [new tag] v1.11.0 -> v1.11.0 2025-09-07T07:38:43.7085430Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-09-07T07:38:43.7086028Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-09-07T07:38:43.7086430Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-09-07T07:38:43.7087028Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-09-07T07:38:43.7087423Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-09-07T07:38:43.7087722Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-09-07T07:38:43.7088059Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-09-07T07:38:43.7088595Z * [new tag] v1.12.0 -> v1.12.0 2025-09-07T07:38:43.7088974Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-09-07T07:38:43.7089533Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-09-07T07:38:43.7089955Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-09-07T07:38:43.7090533Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-09-07T07:38:43.7090921Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-09-07T07:38:43.7091527Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-09-07T07:38:43.7091698Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-09-07T07:38:43.7092005Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-09-07T07:38:43.7092326Z * [new tag] v1.12.1 -> v1.12.1 2025-09-07T07:38:43.7092947Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-09-07T07:38:43.7093558Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-09-07T07:38:43.7093990Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-09-07T07:38:43.7094526Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-09-07T07:38:43.7094783Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-09-07T07:38:43.7095324Z * [new tag] v1.13.0 -> v1.13.0 2025-09-07T07:38:43.7095909Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-09-07T07:38:43.7096278Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-09-07T07:38:43.7096759Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-09-07T07:38:43.7097383Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-09-07T07:38:43.7097538Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-09-07T07:38:43.7097899Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-09-07T07:38:43.7098509Z * [new tag] v1.13.1 -> v1.13.1 2025-09-07T07:38:43.7098759Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-09-07T07:38:43.7099169Z * [new tag] v1.2.0 -> v1.2.0 2025-09-07T07:38:43.7099714Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-09-07T07:38:43.7100041Z * [new tag] v1.3.0 -> v1.3.0 2025-09-07T07:38:43.7100589Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-09-07T07:38:43.7100763Z * [new tag] v1.3.1 -> v1.3.1 2025-09-07T07:38:43.7101300Z * [new tag] v1.4.0 -> v1.4.0 2025-09-07T07:38:43.7101660Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-09-07T07:38:43.7101972Z * [new tag] v1.4.1 -> v1.4.1 2025-09-07T07:38:43.7102585Z * [new tag] v1.5.0 -> v1.5.0 2025-09-07T07:38:43.7102999Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-09-07T07:38:43.7103596Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-09-07T07:38:43.7104134Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-09-07T07:38:43.7104452Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-09-07T07:38:43.7104772Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-09-07T07:38:43.7105355Z * [new tag] v1.5.1 -> v1.5.1 2025-09-07T07:38:43.7105556Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-09-07T07:38:43.7106014Z * [new tag] v1.6.0 -> v1.6.0 2025-09-07T07:38:43.7106550Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-09-07T07:38:43.7107150Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-09-07T07:38:43.7107481Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-09-07T07:38:43.7108032Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-09-07T07:38:43.7108421Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-09-07T07:38:43.7108949Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-09-07T07:38:43.7109154Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-09-07T07:38:43.7110066Z * [new tag] v1.7.0 -> v1.7.0 2025-09-07T07:38:43.7110498Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-09-07T07:38:43.7111078Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-09-07T07:38:43.7111494Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-09-07T07:38:43.7111851Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-09-07T07:38:43.7112263Z * [new tag] v1.7.1 -> v1.7.1 2025-09-07T07:38:43.7112890Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-09-07T07:38:43.7113286Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-09-07T07:38:43.7113663Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-09-07T07:38:43.7114177Z * [new tag] v1.8.0 -> v1.8.0 2025-09-07T07:38:43.7114407Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-09-07T07:38:43.7115048Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-09-07T07:38:43.7115370Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-09-07T07:38:43.7115830Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-09-07T07:38:43.7116128Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-09-07T07:38:43.7116478Z * [new tag] v1.8.1 -> v1.8.1 2025-09-07T07:38:43.7117013Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-09-07T07:38:43.7117283Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-09-07T07:38:43.7117558Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-09-07T07:38:43.7118504Z * [new tag] v1.8.2 -> v1.8.2 2025-09-07T07:38:43.7118749Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-09-07T07:38:43.7119390Z * [new tag] v1.9.0 -> v1.9.0 2025-09-07T07:38:43.7119763Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-09-07T07:38:43.7120439Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-09-07T07:38:43.7120765Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-09-07T07:38:43.7121079Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-09-07T07:38:43.7121670Z * [new tag] v1.9.1 -> v1.9.1 2025-09-07T07:38:43.7122279Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-09-07T07:38:43.7122477Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-09-07T07:38:43.7123071Z * [new tag] v2.0.0 -> v2.0.0 2025-09-07T07:38:43.7123362Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-09-07T07:38:43.7123961Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-09-07T07:38:43.7124661Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-09-07T07:38:43.7124951Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-09-07T07:38:43.7125497Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-09-07T07:38:43.7125763Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-09-07T07:38:43.7126364Z * [new tag] v2.0.1 -> v2.0.1 2025-09-07T07:38:43.7126751Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-09-07T07:38:43.7127135Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-09-07T07:38:43.7127545Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-09-07T07:38:43.7127944Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-09-07T07:38:43.7128808Z * [new tag] v2.1.0 -> v2.1.0 2025-09-07T07:38:43.7129161Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-09-07T07:38:43.7129750Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-09-07T07:38:43.7130127Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-09-07T07:38:43.7130855Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-09-07T07:38:43.7131129Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-09-07T07:38:43.7131469Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-09-07T07:38:43.7131976Z * [new tag] v2.1.1 -> v2.1.1 2025-09-07T07:38:43.7132409Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-09-07T07:38:43.7132937Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-09-07T07:38:43.7133623Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-09-07T07:38:43.7134019Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-09-07T07:38:43.7134553Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-09-07T07:38:43.7134797Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-09-07T07:38:43.7135214Z * [new tag] v2.1.2 -> v2.1.2 2025-09-07T07:38:43.7135797Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-09-07T07:38:43.7136197Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-09-07T07:38:43.7136555Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-09-07T07:38:43.7137104Z * [new tag] v2.2.0 -> v2.2.0 2025-09-07T07:38:43.7137472Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-09-07T07:38:43.7137872Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-09-07T07:38:43.7138415Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-09-07T07:38:43.7138788Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-09-07T07:38:43.7139721Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-09-07T07:38:43.7140091Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-09-07T07:38:43.7140452Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-09-07T07:38:43.7140728Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-09-07T07:38:43.7141314Z * [new tag] v2.2.1 -> v2.2.1 2025-09-07T07:38:43.7141796Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-09-07T07:38:43.7142060Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-09-07T07:38:43.7142388Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-09-07T07:38:43.7142705Z * [new tag] v2.2.2 -> v2.2.2 2025-09-07T07:38:43.7143314Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-09-07T07:38:43.7143541Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-09-07T07:38:43.7143872Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-09-07T07:38:43.7144409Z * [new tag] v2.3.0 -> v2.3.0 2025-09-07T07:38:43.7144763Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-09-07T07:38:43.7145373Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-09-07T07:38:43.7145816Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-09-07T07:38:43.7146208Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-09-07T07:38:43.7146757Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-09-07T07:38:43.7147141Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-09-07T07:38:43.7147726Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-09-07T07:38:43.7148037Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-09-07T07:38:43.7148381Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-09-07T07:38:43.7148904Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-09-07T07:38:43.7149312Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-09-07T07:38:43.7149708Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-09-07T07:38:43.7150010Z * [new tag] v2.3.1 -> v2.3.1 2025-09-07T07:38:43.7150540Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-09-07T07:38:43.7150965Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-09-07T07:38:43.7151541Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-09-07T07:38:43.7151944Z * [new tag] v2.4.0 -> v2.4.0 2025-09-07T07:38:43.7152486Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-09-07T07:38:43.7152876Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-09-07T07:38:43.7153485Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-09-07T07:38:43.7153839Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-09-07T07:38:43.7154451Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-09-07T07:38:43.7154848Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-09-07T07:38:43.7155460Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-09-07T07:38:43.7155813Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-09-07T07:38:43.7156416Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-09-07T07:38:43.7156711Z * [new tag] v2.4.1 -> v2.4.1 2025-09-07T07:38:43.7157343Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-09-07T07:38:43.7157768Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-09-07T07:38:43.7158314Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-09-07T07:38:43.7158807Z * [new tag] v2.5.0 -> v2.5.0 2025-09-07T07:38:43.7159177Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-09-07T07:38:43.7159668Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-09-07T07:38:43.7160261Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-09-07T07:38:43.7160622Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-09-07T07:38:43.7161207Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-09-07T07:38:43.7161582Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-09-07T07:38:43.7162227Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-09-07T07:38:43.7162607Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-09-07T07:38:43.7163229Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-09-07T07:38:43.7163566Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-09-07T07:38:43.7163917Z * [new tag] v2.5.1 -> v2.5.1 2025-09-07T07:38:43.7164216Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-09-07T07:38:43.7164527Z * [new tag] v2.6.0 -> v2.6.0 2025-09-07T07:38:43.7165086Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-09-07T07:38:43.7165584Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-09-07T07:38:43.7166125Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-09-07T07:38:43.7166507Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-09-07T07:38:43.7167164Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-09-07T07:38:43.7167796Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-09-07T07:38:43.7168208Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-09-07T07:38:43.7169252Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-09-07T07:38:43.7169596Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-09-07T07:38:43.7170281Z * [new tag] v2.7.0 -> v2.7.0 2025-09-07T07:38:43.7170688Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-09-07T07:38:43.7171060Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-09-07T07:38:43.7171778Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-09-07T07:38:43.7172188Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-09-07T07:38:43.7172801Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-09-07T07:38:43.7173140Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-09-07T07:38:43.7173786Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-09-07T07:38:43.7174130Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-09-07T07:38:43.7174846Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-09-07T07:38:43.7175390Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-09-07T07:38:43.7175636Z * [new tag] v2.7.1 -> v2.7.1 2025-09-07T07:38:43.7176257Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-09-07T07:38:43.7176678Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-09-07T07:38:43.7177299Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-09-07T07:38:43.7177847Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-09-07T07:38:43.7178225Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-09-07T07:38:43.7178642Z * [new tag] v2.8.0 -> v2.8.0 2025-09-07T07:38:43.7179200Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-09-07T07:38:43.7179554Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-09-07T07:38:43.7180177Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-09-07T07:38:43.7180577Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-09-07T07:38:43.7181163Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-09-07T07:38:43.7181708Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-09-07T07:38:43.7182052Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-09-07T07:38:43.7182652Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-09-07T07:38:43.7183063Z * [new tag] whc_flight_1 -> whc_flight_1 2025-09-07T07:38:43.7183616Z * [new tag] whc_flight_2 -> whc_flight_2 2025-09-07T07:38:43.7183922Z * [new tag] whc_flight_4 -> whc_flight_4 2025-09-07T07:38:43.7621261Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T07:38:43.7642565Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:38:43.7644952Z ##[endgroup] 2025-09-07T07:38:43.7645203Z ##[group]Determining the checkout info 2025-09-07T07:38:43.7645930Z ##[endgroup] 2025-09-07T07:38:43.7648888Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T07:38:43.7679526Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T07:38:43.7698119Z ##[group]Checking out the ref 2025-09-07T07:38:43.7700826Z [command]/usr/bin/git checkout --progress --force 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:38:44.7149317Z Note: switching to '93fb23d6fae7c4e82c4239a1033e522088742634'. 2025-09-07T07:38:44.7149555Z 2025-09-07T07:38:44.7149770Z You are in 'detached HEAD' state. You can look around, make experimental 2025-09-07T07:38:44.7150694Z changes and commit them, and you can discard any commits you make in this 2025-09-07T07:38:44.7151107Z state without impacting any branches by switching back to a branch. 2025-09-07T07:38:44.7151333Z 2025-09-07T07:38:44.7151478Z If you want to create a new branch to retain commits you create, you may 2025-09-07T07:38:44.7151793Z do so (now or later) by using -c with the switch command. Example: 2025-09-07T07:38:44.7151962Z 2025-09-07T07:38:44.7152049Z git switch -c 2025-09-07T07:38:44.7152189Z 2025-09-07T07:38:44.7152269Z Or undo this operation with: 2025-09-07T07:38:44.7152395Z 2025-09-07T07:38:44.7152463Z git switch - 2025-09-07T07:38:44.7152560Z 2025-09-07T07:38:44.7152718Z Turn off this advice by setting config variable advice.detachedHead to false 2025-09-07T07:38:44.7152919Z 2025-09-07T07:38:44.7153044Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T07:38:44.7195641Z ##[endgroup] 2025-09-07T07:38:44.7195933Z ##[group]Setting up auth for fetching submodules 2025-09-07T07:38:44.7201686Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:38:44.7238973Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-07T07:38:44.7258292Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-07T07:38:44.7277238Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-07T07:38:44.7296507Z ##[endgroup] 2025-09-07T07:38:44.7296786Z ##[group]Fetching submodules 2025-09-07T07:38:44.7299271Z [command]/usr/bin/git submodule sync --recursive 2025-09-07T07:38:44.7561429Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T07:38:44.7810792Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-09-07T07:38:44.7811769Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-09-07T07:38:44.7812408Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-09-07T07:38:44.7824985Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-09-07T07:38:44.7826625Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-09-07T07:38:44.7828548Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-09-07T07:38:44.7830239Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-09-07T07:38:44.7843452Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-09-07T07:38:44.7845422Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-09-07T07:38:44.7847422Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-09-07T07:38:44.7849359Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-09-07T07:38:44.7851377Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-09-07T07:38:44.7865252Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-09-07T07:38:44.7867056Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-09-07T07:38:44.7868931Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-09-07T07:38:44.7871176Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-09-07T07:38:44.7884924Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-09-07T07:38:44.7886829Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-09-07T07:38:44.7889119Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:38:44.7891144Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-09-07T07:38:44.7893372Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-09-07T07:38:44.7906640Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-09-07T07:38:44.7908811Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-09-07T07:38:44.7911030Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-09-07T07:38:44.7913300Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-09-07T07:38:44.7926798Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-09-07T07:38:44.7929138Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-09-07T07:38:44.7931463Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-09-07T07:38:44.7934101Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-09-07T07:38:44.7936530Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-09-07T07:38:44.7949689Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-09-07T07:38:44.7952268Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-09-07T07:38:44.7954885Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-09-07T07:38:44.7958182Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-09-07T07:38:44.7973733Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-09-07T07:38:44.7976663Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-09-07T07:38:44.7979590Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-09-07T07:38:44.8003262Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-09-07T07:38:45.0047628Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-09-07T07:38:45.0048155Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-09-07T07:38:45.0048617Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-09-07T07:38:45.0064926Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-09-07T07:38:45.0136252Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-09-07T07:38:45.0226619Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-09-07T07:38:45.1715688Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-09-07T07:38:45.1716250Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-09-07T07:38:45.1716883Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-09-07T07:38:45.1717348Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-09-07T07:38:45.1717821Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-09-07T07:38:45.1810652Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-09-07T07:38:45.9808193Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-09-07T07:38:45.9809543Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-09-07T07:38:45.9810426Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-09-07T07:38:45.9811295Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-09-07T07:38:45.9812107Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-09-07T07:38:45.9812944Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-09-07T07:38:45.9814004Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-09-07T07:38:45.9814786Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-09-07T07:38:45.9815625Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-09-07T07:38:45.9816437Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-09-07T07:38:45.9817656Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-09-07T07:38:45.9818421Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-09-07T07:38:45.9819309Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-09-07T07:38:46.0389961Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-09-07T07:38:54.0106020Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-09-07T07:38:54.0106508Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-09-07T07:38:54.0106926Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-09-07T07:38:54.0107318Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-09-07T07:38:54.0107744Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-09-07T07:38:54.0108164Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-09-07T07:38:54.0108580Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-09-07T07:38:54.0108986Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-09-07T07:38:54.0109404Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-09-07T07:38:54.0109802Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-09-07T07:38:54.0225174Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T07:38:54.0316241Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T07:38:54.0387468Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T07:38:54.0572472Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T07:38:54.1179786Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T07:38:54.1585631Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T07:38:54.6487186Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T07:38:54.7669042Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T07:38:54.7680953Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:38:54.7702302Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-09-07T07:38:57.8565979Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T07:38:57.8741764Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T07:38:58.1018524Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-09-07T07:38:58.1359403Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-09-07T07:38:58.2128692Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-09-07T07:38:58.2477835Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-09-07T07:38:58.7295310Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-07T07:38:58.8368296Z Submodule path 'third_party/fbgemm': checked out '4b39c551efe15e6bbade20565b0ceb2d8ce3352d' 2025-09-07T07:38:58.8381362Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-09-07T07:38:58.8382958Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:38:58.8384074Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:38:58.8385326Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-09-07T07:38:58.8386652Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-09-07T07:38:58.8388175Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:38:58.8389569Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-09-07T07:38:58.8412366Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-09-07T07:38:59.9616736Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-09-07T07:38:59.9617420Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-09-07T07:38:59.9618008Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-09-07T07:38:59.9618621Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-09-07T07:39:00.0618462Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-09-07T07:39:00.5695383Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-09-07T07:39:04.0728826Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-09-07T07:39:04.2504677Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-09-07T07:39:04.3291792Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-09-07T07:39:04.8046825Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917' 2025-09-07T07:39:04.8406037Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:39:04.8493813Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-09-07T07:39:04.9279996Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-09-07T07:39:04.9799443Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-09-07T07:39:04.9808060Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:39:04.9809125Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:39:04.9829750Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-09-07T07:39:07.8594729Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-09-07T07:39:08.0237045Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-09-07T07:39:08.4472757Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-09-07T07:39:08.5434014Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-09-07T07:39:08.5682272Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-09-07T07:39:08.5978943Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-09-07T07:39:08.6153344Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-09-07T07:39:08.6500744Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:39:08.6592143Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-09-07T07:39:08.6603706Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-09-07T07:39:08.6624706Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-09-07T07:39:19.9338151Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-09-07T07:39:19.9484817Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-09-07T07:39:20.0253438Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-09-07T07:39:20.0264570Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:39:20.0265630Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:39:20.0267028Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:39:20.0287825Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-09-07T07:39:20.5850517Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-09-07T07:39:20.8550687Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-09-07T07:39:20.9173598Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-09-07T07:39:20.9182988Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:39:20.9184217Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:39:20.9185516Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:39:20.9186776Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:39:20.9188112Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:39:20.9189532Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:39:20.9190987Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:39:20.9192427Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:39:20.9214074Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-09-07T07:39:22.0499016Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-09-07T07:39:22.0499714Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-09-07T07:39:22.0500348Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-09-07T07:39:22.0500983Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-09-07T07:39:22.0501631Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-09-07T07:39:22.0502280Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-09-07T07:39:22.1500778Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-09-07T07:39:27.5526320Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-09-07T07:39:27.5654966Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-09-07T07:39:27.5932419Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-09-07T07:39:27.6036667Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-09-07T07:39:27.6048254Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:39:27.6071937Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-09-07T07:39:28.0219244Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-09-07T07:39:28.0362337Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-09-07T07:39:28.0678987Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-09-07T07:39:28.1893660Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-09-07T07:39:28.2016546Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-09-07T07:39:28.3138713Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-09-07T07:39:28.3593130Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-09-07T07:39:28.3914523Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-09-07T07:39:28.4202208Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-09-07T07:39:28.5058835Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-09-07T07:39:28.7672067Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-09-07T07:39:28.7693085Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-09-07T07:39:28.7714801Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-09-07T07:39:29.5910775Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-09-07T07:39:29.6398732Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-09-07T07:39:29.6411480Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:39:29.6412170Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:39:29.6412817Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:39:29.6414089Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:39:29.6415523Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:39:29.6416850Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:39:29.6418233Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:39:29.6419549Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:39:29.6441667Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-09-07T07:39:29.9817967Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-09-07T07:39:29.9819018Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-09-07T07:39:29.9819763Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-09-07T07:39:29.9820461Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-09-07T07:39:30.0821160Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-09-07T07:39:30.4517292Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-09-07T07:39:37.1229081Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-09-07T07:39:37.1377009Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-09-07T07:39:37.1700812Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-09-07T07:39:37.1834413Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-09-07T07:39:37.2643158Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-09-07T07:39:37.2742036Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-09-07T07:39:37.2852036Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-09-07T07:39:37.2969941Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-09-07T07:39:37.2981605Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:39:37.2982903Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:39:37.3004719Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-09-07T07:39:38.9739852Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'... 2025-09-07T07:39:39.1713872Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-09-07T07:39:39.2084744Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-09-07T07:39:39.5077826Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-09-07T07:39:39.5168857Z Submodule path 'third_party/pocketfft': 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2025-09-07T07:39:42.7882554Z [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" 2025-09-07T07:39:42.8123928Z Entering 'android/libs/fbjni' 2025-09-07T07:39:42.8161331Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-09-07T07:39:42.8173558Z Entering 'third_party/FP16' 2025-09-07T07:39:42.8213542Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-09-07T07:39:42.8225489Z Entering 'third_party/FXdiv' 2025-09-07T07:39:42.8267727Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-09-07T07:39:42.8280979Z Entering 'third_party/NNPACK' 2025-09-07T07:39:42.8319995Z 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file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gloo/config remote.origin.url 2025-09-07T07:39:42.9765881Z Entering 'third_party/googletest' 2025-09-07T07:39:42.9802775Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:39:42.9816939Z Entering 'third_party/ideep' 2025-09-07T07:39:42.9856367Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/config remote.origin.url 2025-09-07T07:39:42.9867261Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:39:42.9906969Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config remote.origin.url 2025-09-07T07:39:42.9925180Z Entering 'third_party/ittapi' 2025-09-07T07:39:42.9964678Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config remote.origin.url 2025-09-07T07:39:42.9976601Z Entering 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file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/modules/doc/config remote.origin.url 2025-09-07T07:39:43.0338818Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:39:43.0378422Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/glog/config remote.origin.url 2025-09-07T07:39:43.0390333Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:39:43.0429176Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:39:43.0441232Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:39:43.0480217Z 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file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config remote.origin.url 2025-09-07T07:39:43.0654648Z Entering 'third_party/kleidiai' 2025-09-07T07:39:43.0695339Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kleidiai/config remote.origin.url 2025-09-07T07:39:43.0709110Z Entering 'third_party/mimalloc' 2025-09-07T07:39:43.0749133Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/mimalloc/config remote.origin.url 2025-09-07T07:39:43.0763401Z Entering 'third_party/nlohmann' 2025-09-07T07:39:43.0802714Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/nlohmann/config remote.origin.url 2025-09-07T07:39:43.0816112Z Entering 'third_party/onnx' 2025-09-07T07:39:43.0858790Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/config remote.origin.url 2025-09-07T07:39:43.0882614Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:39:43.0922126Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:39:43.0937172Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:39:43.0975129Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/config remote.origin.url 2025-09-07T07:39:43.0986856Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:39:43.1022980Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:39:43.1034206Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:39:43.1075084Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:39:43.1088004Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:39:43.1128530Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/ms-gsl/config remote.origin.url 2025-09-07T07:39:43.1139906Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:39:43.1179934Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/nlohmann-json/config remote.origin.url 2025-09-07T07:39:43.1191401Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:39:43.1230500Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentelemetry-proto/config remote.origin.url 2025-09-07T07:39:43.1242582Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:39:43.1282477Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentracing-cpp/config remote.origin.url 2025-09-07T07:39:43.1294102Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:39:43.1336532Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/config remote.origin.url 2025-09-07T07:39:43.1347252Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:39:43.1389407Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/civetweb/config remote.origin.url 2025-09-07T07:39:43.1404082Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:39:43.1443976Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/googletest/config remote.origin.url 2025-09-07T07:39:43.1461885Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:39:43.1500680Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config remote.origin.url 2025-09-07T07:39:43.1526353Z Entering 'third_party/pocketfft' 2025-09-07T07:39:43.1567741Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config remote.origin.url 2025-09-07T07:39:43.1579822Z Entering 'third_party/protobuf' 2025-09-07T07:39:43.1617123Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config remote.origin.url 2025-09-07T07:39:43.1631914Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:39:43.1669165Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:39:43.1681949Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:39:43.1721443Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:39:43.1734937Z Entering 'third_party/psimd' 2025-09-07T07:39:43.1776405Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config remote.origin.url 2025-09-07T07:39:43.1788706Z Entering 'third_party/pthreadpool' 2025-09-07T07:39:43.1827462Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config remote.origin.url 2025-09-07T07:39:43.1840906Z Entering 'third_party/pybind11' 2025-09-07T07:39:43.1880734Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:39:43.1892723Z Entering 'third_party/python-peachpy' 2025-09-07T07:39:43.1930599Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config remote.origin.url 2025-09-07T07:39:43.1942631Z Entering 'third_party/sleef' 2025-09-07T07:39:43.1981063Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/sleef/config remote.origin.url 2025-09-07T07:39:43.1993530Z Entering 'third_party/tensorpipe' 2025-09-07T07:39:43.2031543Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config remote.origin.url 2025-09-07T07:39:43.2045279Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:39:43.2084541Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:39:43.2095020Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:39:43.2131807Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config remote.origin.url 2025-09-07T07:39:43.2143297Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:39:43.2182095Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config remote.origin.url 2025-09-07T07:39:43.2194024Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:39:43.2235491Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:39:43.2248948Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:39:43.2289575Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config remote.origin.url 2025-09-07T07:39:43.2826562Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:' 2025-09-07T07:39:43.3070829Z Entering 'android/libs/fbjni' 2025-09-07T07:39:43.3100676Z Entering 'third_party/FP16' 2025-09-07T07:39:43.3134767Z Entering 'third_party/FXdiv' 2025-09-07T07:39:43.3168561Z Entering 'third_party/NNPACK' 2025-09-07T07:39:43.3200758Z Entering 'third_party/NVTX' 2025-09-07T07:39:43.3236018Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:39:43.3268318Z Entering 'third_party/XNNPACK' 2025-09-07T07:39:43.3307743Z Entering 'third_party/aiter' 2025-09-07T07:39:43.3339648Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:39:43.3378414Z Entering 'third_party/benchmark' 2025-09-07T07:39:43.3408983Z Entering 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2025-09-07T07:39:43.5090773Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:39:43.5125485Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:39:43.5161558Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:39:43.5207952Z Entering 'third_party/pocketfft' 2025-09-07T07:39:43.5241697Z Entering 'third_party/protobuf' 2025-09-07T07:39:43.5276771Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:39:43.5305522Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:39:43.5338442Z Entering 'third_party/psimd' 2025-09-07T07:39:43.5372283Z Entering 'third_party/pthreadpool' 2025-09-07T07:39:43.5407130Z Entering 'third_party/pybind11' 2025-09-07T07:39:43.5443356Z Entering 'third_party/python-peachpy' 2025-09-07T07:39:43.5477473Z Entering 'third_party/sleef' 2025-09-07T07:39:43.5510920Z Entering 'third_party/tensorpipe' 2025-09-07T07:39:43.5543344Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:39:43.5577736Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:39:43.5609947Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:39:43.5640325Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:39:43.5673938Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:39:43.5724077Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-09-07T07:39:43.5961743Z Entering 'android/libs/fbjni' 2025-09-07T07:39:43.5993237Z Entering 'third_party/FP16' 2025-09-07T07:39:43.6023874Z Entering 'third_party/FXdiv' 2025-09-07T07:39:43.6057702Z Entering 'third_party/NNPACK' 2025-09-07T07:39:43.6090030Z Entering 'third_party/NVTX' 2025-09-07T07:39:43.6121816Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:39:43.6153748Z Entering 'third_party/XNNPACK' 2025-09-07T07:39:43.6197922Z Entering 'third_party/aiter' 2025-09-07T07:39:43.6226386Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:39:43.6262679Z Entering 'third_party/benchmark' 2025-09-07T07:39:43.6294380Z Entering 'third_party/composable_kernel' 2025-09-07T07:39:43.6333480Z Entering 'third_party/cpp-httplib' 2025-09-07T07:39:43.6366219Z Entering 'third_party/cpuinfo' 2025-09-07T07:39:43.6399505Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:39:43.6431449Z Entering 'third_party/cutlass' 2025-09-07T07:39:43.6469814Z Entering 'third_party/fbgemm' 2025-09-07T07:39:43.6503078Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:39:43.6535045Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:39:43.6572372Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:39:43.6604703Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:39:43.6642832Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:39:43.6673413Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:39:43.6704791Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:39:43.6740606Z Entering 'third_party/flash-attention' 2025-09-07T07:39:43.6775931Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:39:43.6810800Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:39:43.6848546Z Entering 'third_party/flatbuffers' 2025-09-07T07:39:43.6882393Z Entering 'third_party/fmt' 2025-09-07T07:39:43.6916194Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:39:43.6948120Z Entering 'third_party/gloo' 2025-09-07T07:39:43.6980882Z Entering 'third_party/googletest' 2025-09-07T07:39:43.7010460Z Entering 'third_party/ideep' 2025-09-07T07:39:43.7042225Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:39:43.7079569Z Entering 'third_party/ittapi' 2025-09-07T07:39:43.7111443Z Entering 'third_party/kineto' 2025-09-07T07:39:43.7142515Z Entering 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'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:39:43.7877870Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:39:43.7907968Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:39:43.7938977Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:39:43.7970230Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:39:43.8003411Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:39:43.8035152Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:39:43.8080968Z Entering 'third_party/pocketfft' 2025-09-07T07:39:43.8115482Z Entering 'third_party/protobuf' 2025-09-07T07:39:43.8151787Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:39:43.8182317Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:39:43.8216772Z Entering 'third_party/psimd' 2025-09-07T07:39:43.8247380Z Entering 'third_party/pthreadpool' 2025-09-07T07:39:43.8279314Z Entering 'third_party/pybind11' 2025-09-07T07:39:43.8314664Z Entering 'third_party/python-peachpy' 2025-09-07T07:39:43.8349373Z Entering 'third_party/sleef' 2025-09-07T07:39:43.8382427Z Entering 'third_party/tensorpipe' 2025-09-07T07:39:43.8417267Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:39:43.8448481Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:39:43.8480464Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:39:43.8511433Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:39:43.8541478Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:39:43.8586523Z ##[endgroup] 2025-09-07T07:39:43.8614366Z [command]/usr/bin/git log -1 --format=%H 2025-09-07T07:39:43.8633254Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:39:43.8711931Z ##[group]Run cd "${GITHUB_WORKSPACE}" 2025-09-07T07:39:43.8712190Z cd "${GITHUB_WORKSPACE}" 2025-09-07T07:39:43.8712410Z # Clean stale submodule dirs 2025-09-07T07:39:43.8712620Z if [ -z "${NO_SUDO}" ]; then 2025-09-07T07:39:43.8712866Z  sudo git submodule foreach --recursive git clean -ffdx 2025-09-07T07:39:43.8713110Z else 2025-09-07T07:39:43.8713314Z  git submodule foreach --recursive git clean -ffdx 2025-09-07T07:39:43.8713550Z fi 2025-09-07T07:39:43.8721696Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:43.8721937Z env: 2025-09-07T07:39:43.8722104Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:43.8722288Z NO_SUDO: true 2025-09-07T07:39:43.8722465Z ##[endgroup] 2025-09-07T07:39:43.8985210Z Entering 'android/libs/fbjni' 2025-09-07T07:39:43.9011675Z Entering 'third_party/FP16' 2025-09-07T07:39:43.9035028Z Entering 'third_party/FXdiv' 2025-09-07T07:39:43.9061305Z Entering 'third_party/NNPACK' 2025-09-07T07:39:43.9086621Z Entering 'third_party/NVTX' 2025-09-07T07:39:43.9115801Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:39:43.9143300Z Entering 'third_party/XNNPACK' 2025-09-07T07:39:43.9234570Z Entering 'third_party/aiter' 2025-09-07T07:39:43.9268417Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:39:43.9343224Z Entering 'third_party/benchmark' 2025-09-07T07:39:43.9368683Z Entering 'third_party/composable_kernel' 2025-09-07T07:39:43.9459212Z Entering 'third_party/cpp-httplib' 2025-09-07T07:39:43.9485199Z Entering 'third_party/cpuinfo' 2025-09-07T07:39:43.9512795Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:39:43.9540398Z Entering 'third_party/cutlass' 2025-09-07T07:39:43.9617072Z Entering 'third_party/fbgemm' 2025-09-07T07:39:43.9662104Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:39:43.9686407Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:39:43.9762536Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:39:43.9791770Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:39:43.9867552Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:39:43.9891957Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:39:43.9913696Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:39:43.9948125Z Entering 'third_party/flash-attention' 2025-09-07T07:39:43.9980055Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:39:44.0054525Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:39:44.0116502Z Entering 'third_party/flatbuffers' 2025-09-07T07:39:44.0163167Z Entering 'third_party/fmt' 2025-09-07T07:39:44.0191172Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:39:44.0217837Z Entering 'third_party/gloo' 2025-09-07T07:39:44.0246817Z Entering 'third_party/googletest' 2025-09-07T07:39:44.0273660Z Entering 'third_party/ideep' 2025-09-07T07:39:44.0297350Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:39:44.0356330Z Entering 'third_party/ittapi' 2025-09-07T07:39:44.0381876Z Entering 'third_party/kineto' 2025-09-07T07:39:44.0408288Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:39:44.0434095Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:39:44.0467155Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:39:44.0493138Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:39:44.0518958Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:39:44.0543128Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:39:44.0567876Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:39:44.0591476Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:39:44.0614828Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:39:44.0644214Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:39:44.0668661Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:39:44.0690608Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:39:44.0714197Z Entering 'third_party/kleidiai' 2025-09-07T07:39:44.0741260Z Entering 'third_party/mimalloc' 2025-09-07T07:39:44.0767266Z Entering 'third_party/nlohmann' 2025-09-07T07:39:44.0803054Z Entering 'third_party/onnx' 2025-09-07T07:39:44.1013656Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:39:44.1038990Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:39:44.1079296Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:39:44.1102686Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:39:44.1128760Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:39:44.1152061Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:39:44.1182822Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:39:44.1206003Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:39:44.1229334Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:39:44.1254101Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:39:44.1289872Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:39:44.1318744Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:39:44.1492453Z Entering 'third_party/pocketfft' 2025-09-07T07:39:44.1513551Z Entering 'third_party/protobuf' 2025-09-07T07:39:44.1567223Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:39:44.1590136Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:39:44.1616675Z Entering 'third_party/psimd' 2025-09-07T07:39:44.1641703Z Entering 'third_party/pthreadpool' 2025-09-07T07:39:44.1667591Z Entering 'third_party/pybind11' 2025-09-07T07:39:44.1694754Z Entering 'third_party/python-peachpy' 2025-09-07T07:39:44.1719426Z Entering 'third_party/sleef' 2025-09-07T07:39:44.1746904Z Entering 'third_party/tensorpipe' 2025-09-07T07:39:44.1773897Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:39:44.1800121Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:39:44.1825964Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:39:44.1855069Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:39:44.1879147Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:39:44.1988042Z Prepare all required actions 2025-09-07T07:39:44.1988403Z Getting action download info 2025-09-07T07:39:44.3246411Z ##[group]Run ./.github/actions/setup-linux 2025-09-07T07:39:44.3246652Z env: 2025-09-07T07:39:44.3246827Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:44.3247024Z ##[endgroup] 2025-09-07T07:39:44.3273279Z ##[group]Run set -euo pipefail 2025-09-07T07:39:44.3273519Z set -euo pipefail 2025-09-07T07:39:44.3273826Z function get_ec2_metadata() { 2025-09-07T07:39:44.3274063Z  # Pulled from instance metadata endpoint for EC2 2025-09-07T07:39:44.3274440Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-09-07T07:39:44.3274793Z  category=$1 2025-09-07T07:39:44.3275029Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-09-07T07:39:44.3275299Z  runner_name_str=i-0ae25a36c56feb34d 2025-09-07T07:39:44.3275545Z  if [[ -f /.inarc ]]; then 2025-09-07T07:39:44.3275769Z  echo "ARC Runner, no info on ec2 metadata" 2025-09-07T07:39:44.3275998Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-09-07T07:39:44.3276279Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-09-07T07:39:44.3276528Z  else 2025-09-07T07:39:44.3277027Z  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}" 2025-09-07T07:39:44.3277527Z  fi 2025-09-07T07:39:44.3277666Z } 2025-09-07T07:39:44.3277844Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-09-07T07:39:44.3278106Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-09-07T07:39:44.3278391Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-09-07T07:39:44.3278631Z echo "system info $(uname -a)" 2025-09-07T07:39:44.3283491Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:44.3283720Z env: 2025-09-07T07:39:44.3283867Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:44.3284030Z ##[endgroup] 2025-09-07T07:39:44.3393014Z ami-id: ami-05ffe3c48a9991133 2025-09-07T07:39:44.3471054Z instance-id: i-0ae25a36c56feb34d 2025-09-07T07:39:44.3543970Z instance-type: c7i.metal-24xl 2025-09-07T07:39:44.3554055Z system info Linux ip-10-0-46-10.ec2.internal 6.1.141-155.222.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 17 10:29:47 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-09-07T07:39:44.3571042Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:39:44.3571600Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:39:44.3575379Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:44.3575631Z env: 2025-09-07T07:39:44.3575781Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:44.3575964Z ##[endgroup] 2025-09-07T07:39:44.3610278Z ##[group]Run if systemctl is-active --quiet docker; then 2025-09-07T07:39:44.3610570Z if systemctl is-active --quiet docker; then 2025-09-07T07:39:44.3610815Z  echo "Docker daemon is running..."; 2025-09-07T07:39:44.3611026Z else 2025-09-07T07:39:44.3611261Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-09-07T07:39:44.3611530Z fi 2025-09-07T07:39:44.3615555Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:44.3615799Z env: 2025-09-07T07:39:44.3615970Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:44.3616151Z ##[endgroup] 2025-09-07T07:39:44.3677416Z Docker daemon is running... 2025-09-07T07:39:44.3702242Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T07:39:44.3702449Z with: 2025-09-07T07:39:44.3702591Z shell: bash 2025-09-07T07:39:44.3702839Z timeout_minutes: 5 2025-09-07T07:39:44.3703009Z max_attempts: 3 2025-09-07T07:39:44.3703173Z retry_wait_seconds: 30 2025-09-07T07:39:44.3704440Z command: AWS_ACCOUNT_ID=$(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 2025-09-07T07:39:44.3705722Z polling_interval_seconds: 1 2025-09-07T07:39:44.3705910Z warning_on_retry: true 2025-09-07T07:39:44.3706079Z continue_on_error: false 2025-09-07T07:39:44.3706253Z env: 2025-09-07T07:39:44.3706410Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:44.3706596Z AWS_RETRY_MODE: standard 2025-09-07T07:39:44.3706768Z AWS_MAX_ATTEMPTS: 5 2025-09-07T07:39:44.3706945Z AWS_DEFAULT_REGION: us-east-1 2025-09-07T07:39:44.3707139Z ##[endgroup] 2025-09-07T07:39:45.1771748Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:39:45.1772203Z Configure a credential helper to remove this warning. See 2025-09-07T07:39:45.1772627Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:39:45.1772931Z 2025-09-07T07:39:45.1773081Z Login Succeeded 2025-09-07T07:39:45.4347956Z Command completed after 1 attempt(s). 2025-09-07T07:39:45.4405391Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:39:45.4405725Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:39:45.4406007Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:39:45.4411491Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:45.4411718Z env: 2025-09-07T07:39:45.4411871Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:45.4412049Z ##[endgroup] 2025-09-07T07:39:45.4468842Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T07:39:45.4469196Z # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T07:39:45.4469460Z # shellcheck disable=SC2046 2025-09-07T07:39:45.4469692Z docker stop $(docker ps -q) || true 2025-09-07T07:39:45.4469903Z # Prune all of the docker images 2025-09-07T07:39:45.4470111Z docker system prune -af 2025-09-07T07:39:45.4474103Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:45.4474337Z env: 2025-09-07T07:39:45.4474481Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:45.4474661Z ##[endgroup] 2025-09-07T07:39:45.4898576Z "docker stop" requires at least 1 argument. 2025-09-07T07:39:45.4898857Z See 'docker stop --help'. 2025-09-07T07:39:45.4899002Z 2025-09-07T07:39:45.4899137Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-09-07T07:39:45.4899310Z 2025-09-07T07:39:45.4899403Z Stop one or more running containers 2025-09-07T07:39:45.5143147Z Total reclaimed space: 0B 2025-09-07T07:39:45.5169485Z ##[group]Run set +e 2025-09-07T07:39:45.5169677Z set +e 2025-09-07T07:39:45.5169836Z set -x 2025-09-07T07:39:45.5169988Z  2025-09-07T07:39:45.5170154Z PT_DOMAIN=download.pytorch.org 2025-09-07T07:39:45.5170512Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-09-07T07:39:45.5170938Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-09-07T07:39:45.5171239Z # one is returned at random 2025-09-07T07:39:45.5171483Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-09-07T07:39:45.5171703Z  2025-09-07T07:39:45.5171959Z if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T07:39:45.5172220Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-09-07T07:39:45.5172523Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-09-07T07:39:45.5172752Z  2025-09-07T07:39:45.5172901Z  if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T07:39:45.5173140Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-09-07T07:39:45.5173447Z  exit 1 2025-09-07T07:39:45.5173598Z  fi 2025-09-07T07:39:45.5173736Z fi 2025-09-07T07:39:45.5173877Z  2025-09-07T07:39:45.5174048Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-09-07T07:39:45.5174273Z  # Clean up any old records first 2025-09-07T07:39:45.5174482Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-09-07T07:39:45.5174678Z fi 2025-09-07T07:39:45.5174817Z  2025-09-07T07:39:45.5175018Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-09-07T07:39:45.5175246Z cat /etc/hosts 2025-09-07T07:39:45.5179523Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:45.5179752Z env: 2025-09-07T07:39:45.5179904Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:45.5180071Z ##[endgroup] 2025-09-07T07:39:45.5197152Z + PT_DOMAIN=download.pytorch.org 2025-09-07T07:39:45.5201905Z ++ tail -n1 2025-09-07T07:39:45.5202251Z ++ dig -4 +short download.pytorch.org 2025-09-07T07:39:45.5606451Z + RESOLVED_IP=18.160.10.22 2025-09-07T07:39:45.5606681Z + '[' -z 18.160.10.22 ']' 2025-09-07T07:39:45.5606885Z + grep -r download.pytorch.org /etc/hosts 2025-09-07T07:39:45.5616877Z + echo '18.160.10.22 download.pytorch.org' 2025-09-07T07:39:45.5618373Z + sudo tee -a /etc/hosts 2025-09-07T07:39:45.8188980Z 18.160.10.22 download.pytorch.org 2025-09-07T07:39:45.8199707Z + cat /etc/hosts 2025-09-07T07:39:45.8207169Z 127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4 2025-09-07T07:39:45.8210860Z ::1 localhost6 localhost6.localdomain6 2025-09-07T07:39:45.8211097Z 18.160.10.22 download.pytorch.org 2025-09-07T07:39:45.8310698Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-09-07T07:39:45.8310980Z with: 2025-09-07T07:39:45.8311490Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:45.8312054Z use-custom-docker-registry: true 2025-09-07T07:39:45.8312266Z docker-build-dir: .ci/docker 2025-09-07T07:39:45.8312462Z docker-build-script: ./build.sh 2025-09-07T07:39:45.8312650Z working-directory: . 2025-09-07T07:39:45.8312873Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:45.8313121Z force-push: false 2025-09-07T07:39:45.8313277Z env: 2025-09-07T07:39:45.8313417Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:45.8313589Z ##[endgroup] 2025-09-07T07:39:45.8325247Z ##[group]Run set -ex 2025-09-07T07:39:45.8325480Z set -ex 2025-09-07T07:39:45.8325638Z  2025-09-07T07:39:45.8325925Z # If the docker build directory or the build script doesn't exist, the action will 2025-09-07T07:39:45.8326313Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-09-07T07:39:45.8326643Z # job could then download the pre-built image as usual 2025-09-07T07:39:45.8327047Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-09-07T07:39:45.8327428Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:45.8327637Z else 2025-09-07T07:39:45.8327815Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:45.8328081Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:45.8328322Z  2025-09-07T07:39:45.8328658Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-09-07T07:39:45.8329023Z  exit 0 2025-09-07T07:39:45.8329167Z fi 2025-09-07T07:39:45.8329310Z  2025-09-07T07:39:45.8329526Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-09-07T07:39:45.8329879Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-09-07T07:39:45.8330271Z  # use it as it is, but first let's extract the tag 2025-09-07T07:39:45.8330552Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-09-07T07:39:45.8330861Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:45.8331154Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:45.8331398Z else 2025-09-07T07:39:45.8331581Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-09-07T07:39:45.8331815Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-09-07T07:39:45.8332063Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-09-07T07:39:45.8332277Z  fi 2025-09-07T07:39:45.8332554Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-09-07T07:39:45.8332908Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:45.8333279Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:45.8333679Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:45.8333932Z fi 2025-09-07T07:39:45.8338995Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:45.8339225Z env: 2025-09-07T07:39:45.8339384Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:45.8339568Z REPO_NAME: pytorch 2025-09-07T07:39:45.8340182Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:45.8340721Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T07:39:45.8340911Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-09-07T07:39:45.8341159Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:45.8341412Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-09-07T07:39:45.8341612Z CUSTOM_TAG_PREFIX: 2025-09-07T07:39:45.8341776Z ##[endgroup] 2025-09-07T07:39:45.8358470Z + [[ -d .ci/docker ]] 2025-09-07T07:39:45.8358674Z + [[ -f .ci/docker/./build.sh ]] 2025-09-07T07:39:45.8358873Z + [[ true == \t\r\u\e ]] 2025-09-07T07:39:45.8359053Z + echo skip=false 2025-09-07T07:39:45.8359793Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-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* ]] 2025-09-07T07:39:45.8365399Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:45.8365965Z ++ awk -F '[:,]' '{print $2}' 2025-09-07T07:39:45.8382775Z + DOCKER_TAG=pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:45.8383392Z + echo docker-tag=pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:45.8384204Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:45.8401033Z ##[group]Run set +e 2025-09-07T07:39:45.8401250Z set +e 2025-09-07T07:39:45.8401420Z set -x 2025-09-07T07:39:45.8401574Z  2025-09-07T07:39:45.8401718Z login() { 2025-09-07T07:39:45.8402031Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T07:39:45.8402361Z } 2025-09-07T07:39:45.8402510Z  2025-09-07T07:39:45.8402650Z retry () { 2025-09-07T07:39:45.8402840Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T07:39:45.8403048Z } 2025-09-07T07:39:45.8403191Z  2025-09-07T07:39:45.8403343Z retry login "${DOCKER_REGISTRY}" 2025-09-07T07:39:45.8403631Z  2025-09-07T07:39:45.8403781Z START_TIME=$(date +%s) 2025-09-07T07:39:45.8403979Z # Wait up to 120 minutes 2025-09-07T07:39:45.8404219Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-09-07T07:39:45.8404515Z  # Check if image already exists, if it does then skip building it 2025-09-07T07:39:45.8404820Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-09-07T07:39:45.8405050Z  exit 0 2025-09-07T07:39:45.8405213Z  fi 2025-09-07T07:39:45.8405356Z  2025-09-07T07:39:45.8405612Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-09-07T07:39:45.8406013Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-09-07T07:39:45.8406403Z  # latter, it will wait for the Docker images to become available before continuing 2025-09-07T07:39:45.8406728Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-09-07T07:39:45.8406986Z  # It's a Docker build job, let's build the image 2025-09-07T07:39:45.8407209Z  break 2025-09-07T07:39:45.8407372Z  else 2025-09-07T07:39:45.8407595Z  # It's a regular build job, wait for the image to become available 2025-09-07T07:39:45.8407846Z  sleep 300 2025-09-07T07:39:45.8408016Z  fi 2025-09-07T07:39:45.8408169Z done 2025-09-07T07:39:45.8408317Z  2025-09-07T07:39:45.8408537Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-09-07T07:39:45.8408965Z # be empty. The default action would be to continue rebuild the image 2025-09-07T07:39:45.8409279Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-09-07T07:39:45.8409560Z  # if we're on the base branch then use the parent commit 2025-09-07T07:39:45.8409818Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-09-07T07:39:45.8410019Z else 2025-09-07T07:39:45.8410240Z  # otherwise we're on a PR, so use the most recent base commit 2025-09-07T07:39:45.8410537Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-09-07T07:39:45.8410774Z fi 2025-09-07T07:39:45.8410911Z  2025-09-07T07:39:45.8411078Z if [[ -z "${MERGE_BASE}" ]]; then 2025-09-07T07:39:45.8411320Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:45.8411542Z  2025-09-07T07:39:45.8411840Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-09-07T07:39:45.8412190Z  exit 0 2025-09-07T07:39:45.8412349Z fi 2025-09-07T07:39:45.8412494Z  2025-09-07T07:39:45.8412698Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-09-07T07:39:45.8413104Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-09-07T07:39:45.8413448Z  exit 1 2025-09-07T07:39:45.8413602Z fi 2025-09-07T07:39:45.8413745Z  2025-09-07T07:39:45.8413973Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-09-07T07:39:45.8414365Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-09-07T07:39:45.8414717Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-09-07T07:39:45.8415123Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-09-07T07:39:45.8415568Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-09-07T07:39:45.8415832Z fi 2025-09-07T07:39:45.8415978Z  2025-09-07T07:39:45.8416153Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:45.8420375Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:45.8420675Z env: 2025-09-07T07:39:45.8420834Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:45.8421014Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T07:39:45.8421260Z BASE_REVISION: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:39:45.8421832Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:45.8422531Z DOCKER_TAG: pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:45.8422981Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:45.8423221Z DOCKER_PUSH: 2025-09-07T07:39:45.8423381Z ##[endgroup] 2025-09-07T07:39:45.8440661Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:45.8440948Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:45.8444092Z + aws ecr get-login-password --region us-east-1 2025-09-07T07:39:45.8444676Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:46.2209142Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:39:46.2209510Z Configure a credential helper to remove this warning. See 2025-09-07T07:39:46.2209853Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:39:46.2210075Z 2025-09-07T07:39:46.2211704Z Login Succeeded 2025-09-07T07:39:46.2224740Z ++ date +%s 2025-09-07T07:39:46.2231582Z + START_TIME=1757230786 2025-09-07T07:39:46.2234136Z ++ date +%s 2025-09-07T07:39:46.2241037Z + [[ 1757223586 -lt 1757230786 ]] 2025-09-07T07:39:46.2241644Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:46.4257132Z { 2025-09-07T07:39:46.4257421Z "schemaVersion": 2, 2025-09-07T07:39:46.4257773Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-09-07T07:39:46.4258098Z "config": { 2025-09-07T07:39:46.4258368Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-09-07T07:39:46.4258639Z "size": 30269, 2025-09-07T07:39:46.4258929Z "digest": "sha256:662d8c9dfc7db2f5d004293de4f2b7647941dee4c916479ef082d17fcdfd9c47" 2025-09-07T07:39:46.4259201Z }, 2025-09-07T07:39:46.4259339Z "layers": [ 2025-09-07T07:39:46.4259481Z { 2025-09-07T07:39:46.4259691Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:46.4259936Z "size": 30448359, 2025-09-07T07:39:46.4260210Z "digest": "sha256:e6fdc8487bfe6d764301ef3634bc6c043841dc3ab05ca14f81e69c0f92562d46" 2025-09-07T07:39:46.4260496Z }, 2025-09-07T07:39:46.4260626Z { 2025-09-07T07:39:46.4260824Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:46.4261069Z "size": 1554, 2025-09-07T07:39:46.4261326Z "digest": "sha256:18a5ee5b0e2e283bf6d7b9c4c312b0448c75eff1c43446c22c5139a3aeec97fe" 2025-09-07T07:39:46.4261599Z }, 2025-09-07T07:39:46.4261719Z { 2025-09-07T07:39:46.4261919Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:46.4262184Z "size": 313297813, 2025-09-07T07:39:46.4262452Z "digest": 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"sha256:7ddca6c4c050460204097ba875dc0fa03eca6265122a18c0b8dc5504152aea53" 2025-09-07T07:39:46.4458292Z }, 2025-09-07T07:39:46.4458419Z { 2025-09-07T07:39:46.4458624Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:46.4458872Z "size": 1012, 2025-09-07T07:39:46.4459145Z "digest": "sha256:a95e1f2f1aadef03514a7cdbdac1fe83d4eebedbb80df9be868a223f27e1c263" 2025-09-07T07:39:46.4459456Z }, 2025-09-07T07:39:46.4459589Z { 2025-09-07T07:39:46.4459801Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:46.4460052Z "size": 724, 2025-09-07T07:39:46.4460310Z "digest": "sha256:da63046995a2e510b7146776371a14bff4b31002cc3ef0322e45a3932fba2031" 2025-09-07T07:39:46.4460591Z }, 2025-09-07T07:39:46.4460729Z { 2025-09-07T07:39:46.4460933Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:46.4461187Z "size": 135, 2025-09-07T07:39:46.4461447Z "digest": "sha256:8085756b0cc0f9588f23a73c27840a5dff48cc18c3a2f0311e4d1ef291855679" 2025-09-07T07:39:46.4461734Z }, 2025-09-07T07:39:46.4461859Z { 2025-09-07T07:39:46.4462072Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:46.4462332Z "size": 32, 2025-09-07T07:39:46.4462595Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:39:46.4462938Z }, 2025-09-07T07:39:46.4463075Z { 2025-09-07T07:39:46.4463283Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:46.4463536Z "size": 158, 2025-09-07T07:39:46.4463782Z "digest": "sha256:7e9ff0c6f103b18756f01c60b4d57a951660f17bffb1810b330e3ff703caf216" 2025-09-07T07:39:46.4464072Z }, 2025-09-07T07:39:46.4464209Z { 2025-09-07T07:39:46.4464421Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:46.4464668Z "size": 1369, 2025-09-07T07:39:46.4464936Z "digest": "sha256:a625cbbc05b983aeb4c28702a4a5b65c68191ab1b8d17978f7d98cc17ddf3c52" 2025-09-07T07:39:46.4465228Z }, 2025-09-07T07:39:46.4465367Z { 2025-09-07T07:39:46.4465572Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:46.4465827Z "size": 32, 2025-09-07T07:39:46.4466091Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:39:46.4466386Z }, 2025-09-07T07:39:46.4466514Z { 2025-09-07T07:39:46.4466731Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:46.4466967Z "size": 136, 2025-09-07T07:39:46.4467197Z "digest": "sha256:4e28486424310870c8d6815524440f17c6e0afe7572eaa173a811b98b4920bed" 2025-09-07T07:39:46.4467449Z }, 2025-09-07T07:39:46.4467575Z { 2025-09-07T07:39:46.4467771Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:46.4468007Z "size": 380, 2025-09-07T07:39:46.4468242Z "digest": "sha256:5e944f1ed1bef9442f5b1b86225d3958ea8f2f7f4c6aa7b92dc5d0c810c260bc" 2025-09-07T07:39:46.4468508Z }, 2025-09-07T07:39:46.4468632Z { 2025-09-07T07:39:46.4468874Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:46.4469113Z "size": 32, 2025-09-07T07:39:46.4469357Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:39:46.4469623Z }, 2025-09-07T07:39:46.4469744Z { 2025-09-07T07:39:46.4469933Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:46.4470176Z "size": 104, 2025-09-07T07:39:46.4470418Z "digest": "sha256:41619248f604c60e038a02bfd462af96ee2996b77be5f59f05e9ac5fe4790e5a" 2025-09-07T07:39:46.4470685Z }, 2025-09-07T07:39:46.4470801Z { 2025-09-07T07:39:46.4470995Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:46.4471238Z "size": 407, 2025-09-07T07:39:46.4471491Z "digest": "sha256:be86f8c4f654b9ae64a20eb7f960e6ce4baa5b46e0a1f5e1312b11492a40bcd4" 2025-09-07T07:39:46.4471756Z }, 2025-09-07T07:39:46.4471883Z { 2025-09-07T07:39:46.4472086Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:46.4472324Z "size": 32, 2025-09-07T07:39:46.4472562Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:39:46.4472831Z }, 2025-09-07T07:39:46.4472955Z { 2025-09-07T07:39:46.4473157Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:46.4473395Z "size": 109, 2025-09-07T07:39:46.4473644Z "digest": "sha256:ef1340e22a4bc8cf42e1d40961cb32d183cd3da8f0b785b5425c32ee067690c1" 2025-09-07T07:39:46.4473918Z }, 2025-09-07T07:39:46.4474044Z { 2025-09-07T07:39:46.4474237Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:46.4474478Z "size": 1897, 2025-09-07T07:39:46.4474734Z "digest": "sha256:da8d8b696333cbf6b9f339ab859639c905d6752d7e65fea14c23c3c2dcba553e" 2025-09-07T07:39:46.4475006Z }, 2025-09-07T07:39:46.4475129Z { 2025-09-07T07:39:46.4475324Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:46.4475569Z "size": 243443118, 2025-09-07T07:39:46.4475823Z "digest": "sha256:386b0c49c4982a821fb6f427fbc7d9c7d2012e97c96a514a9c7a09304e76b935" 2025-09-07T07:39:46.4476090Z }, 2025-09-07T07:39:46.4476208Z { 2025-09-07T07:39:46.4476408Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:46.4476651Z "size": 106, 2025-09-07T07:39:46.4476938Z "digest": "sha256:2b1d0ea7efe0bf86e86df804d2cddbf83b113fdecd03f3ddfca728da30546f34" 2025-09-07T07:39:46.4477213Z }, 2025-09-07T07:39:46.4477339Z { 2025-09-07T07:39:46.4477527Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:46.4477759Z "size": 163, 2025-09-07T07:39:46.4477994Z "digest": "sha256:04c04be7408f20625b1bd8454e5a08c91fcf04d4f79ab3ec1b75ae6b1824174d" 2025-09-07T07:39:46.4478256Z }, 2025-09-07T07:39:46.4478380Z { 2025-09-07T07:39:46.4478578Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:46.4478814Z "size": 7943, 2025-09-07T07:39:46.4479068Z "digest": "sha256:f8690caa3ac5e845f2dcc25ad12815b5c7452285c3838a87c780bd03ecf072a3" 2025-09-07T07:39:46.4479341Z }, 2025-09-07T07:39:46.4479470Z { 2025-09-07T07:39:46.4479654Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:46.4479889Z "size": 8074, 2025-09-07T07:39:46.4480139Z "digest": "sha256:2908d6baaa6b21331dee5f210472cae0874d22b98b0a35420cad4fd753ed215f" 2025-09-07T07:39:46.4480407Z }, 2025-09-07T07:39:46.4480522Z { 2025-09-07T07:39:46.4480721Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:46.4480965Z "size": 303, 2025-09-07T07:39:46.4481209Z "digest": "sha256:37e2336101eba2c73995d34431e4fae8782d9e9700c42621777922490b2158ed" 2025-09-07T07:39:46.4481466Z }, 2025-09-07T07:39:46.4481592Z { 2025-09-07T07:39:46.4481796Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:46.4482035Z "size": 32, 2025-09-07T07:39:46.4482329Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:39:46.4482613Z }, 2025-09-07T07:39:46.4482746Z { 2025-09-07T07:39:46.4482946Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:46.4483186Z "size": 108, 2025-09-07T07:39:46.4483433Z "digest": "sha256:f1ac881fde33994861be4324231269058643168b9aee60c699552d0d92d965da" 2025-09-07T07:39:46.4483697Z }, 2025-09-07T07:39:46.4483823Z { 2025-09-07T07:39:46.4484012Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:46.4484252Z "size": 54145699, 2025-09-07T07:39:46.4484511Z "digest": "sha256:43b14c67347e2813c5f63e928c14db60dbb35c330ccc865510cf79739d8b78a1" 2025-09-07T07:39:46.4484768Z }, 2025-09-07T07:39:46.4484884Z { 2025-09-07T07:39:46.4485071Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:46.4485307Z "size": 32, 2025-09-07T07:39:46.4485557Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:39:46.4485821Z } 2025-09-07T07:39:46.4485950Z ] 2025-09-07T07:39:46.4486082Z } 2025-09-07T07:39:46.4486228Z + exit 0 2025-09-07T07:39:46.4505473Z ##[group]Run set -eux 2025-09-07T07:39:46.4505667Z set -eux 2025-09-07T07:39:46.4505919Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-09-07T07:39:46.4506563Z 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 2025-09-07T07:39:46.4511005Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:46.4511228Z env: 2025-09-07T07:39:46.4511376Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:46.4511546Z ##[endgroup] 2025-09-07T07:39:46.4532025Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-09-07T07:39:46.4532337Z + jq -r .docker_hub_readonly_token 2025-09-07T07:39:46.4532555Z + jq --raw-output .SecretString 2025-09-07T07:39:46.4533559Z + docker login --username pytorchbot --password-stdin 2025-09-07T07:39:46.8757561Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:39:46.8758050Z Configure a credential helper to remove this warning. See 2025-09-07T07:39:46.8758522Z Login Succeeded 2025-09-07T07:39:46.8758865Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:39:46.8759097Z 2025-09-07T07:39:46.8813879Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T07:39:46.8814125Z tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T07:39:46.8814371Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-09-07T07:39:46.8818540Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:46.8818771Z env: 2025-09-07T07:39:46.8818928Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:46.8819450Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:46.8819961Z ##[endgroup] 2025-09-07T07:39:46.8840809Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:46.8868507Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-09-07T07:39:46.8868773Z with: 2025-09-07T07:39:46.8869250Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:46.8869809Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:46.8870042Z env: 2025-09-07T07:39:46.8870194Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:46.8870359Z ##[endgroup] 2025-09-07T07:39:46.8879651Z ##[group]Run set -x 2025-09-07T07:39:46.8879832Z set -x 2025-09-07T07:39:46.8879981Z set +e 2025-09-07T07:39:46.8880125Z  2025-09-07T07:39:46.8880261Z login() { 2025-09-07T07:39:46.8880560Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T07:39:46.8880864Z } 2025-09-07T07:39:46.8881005Z  2025-09-07T07:39:46.8881182Z retry () { 2025-09-07T07:39:46.8881367Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T07:39:46.8881556Z } 2025-09-07T07:39:46.8881692Z  2025-09-07T07:39:46.8881846Z retry login "${DOCKER_REGISTRY}" 2025-09-07T07:39:46.8882034Z  2025-09-07T07:39:46.8882311Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-09-07T07:39:46.8882687Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-09-07T07:39:46.8882909Z  2025-09-07T07:39:46.8883044Z set -e 2025-09-07T07:39:46.8883253Z # ignore output since only exit code is used for conditional 2025-09-07T07:39:46.8883542Z # only pull docker image if it's not available locally 2025-09-07T07:39:46.8883857Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-09-07T07:39:46.8884151Z  retry docker pull "${DOCKER_IMAGE}" 2025-09-07T07:39:46.8884354Z fi 2025-09-07T07:39:46.8888269Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:46.8888503Z env: 2025-09-07T07:39:46.8888661Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:46.8889172Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:46.8889743Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:46.8889978Z ##[endgroup] 2025-09-07T07:39:46.8906679Z + set +e 2025-09-07T07:39:46.8907015Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:46.8907299Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:46.8910812Z + aws ecr get-login-password --region us-east-1 2025-09-07T07:39:46.8911735Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:47.2577688Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:39:47.2578264Z Login Succeeded 2025-09-07T07:39:47.2578500Z Configure a credential helper to remove this warning. See 2025-09-07T07:39:47.2578861Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:39:47.2579084Z 2025-09-07T07:39:47.2591662Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:47.2592286Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-09-07T07:39:47.4770674Z + IMAGE_SIZE=28579.020259857178 2025-09-07T07:39:47.4770945Z Compressed size of image in MB: 28579.020259857178 2025-09-07T07:39:47.4771291Z + echo 'Compressed size of image in MB: 28579.020259857178' 2025-09-07T07:39:47.4771567Z + set -e 2025-09-07T07:39:47.4772364Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:47.4891013Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:47.4891849Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:47.7175348Z pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77: Pulling from pytorch/ci-image 2025-09-07T07:39:47.7175837Z e6fdc8487bfe: Pulling fs layer 2025-09-07T07:39:47.7176039Z 18a5ee5b0e2e: Pulling fs layer 2025-09-07T07:39:47.7176225Z 572424b92528: Pulling fs layer 2025-09-07T07:39:47.7176398Z 1c35b7d4b67c: Pulling fs layer 2025-09-07T07:39:47.7176578Z 68c20f3c23bb: Pulling fs layer 2025-09-07T07:39:47.7176754Z 7efa39950d32: Pulling fs layer 2025-09-07T07:39:47.7176954Z a10eb16a7271: Pulling fs layer 2025-09-07T07:39:47.7177128Z 7d52cf579654: Pulling fs layer 2025-09-07T07:39:47.7177307Z cb6a20fcf4e2: Pulling fs layer 2025-09-07T07:39:47.7177481Z 46fb6a8b3e1d: Pulling fs layer 2025-09-07T07:39:47.7177660Z 5ad6977cc38e: Pulling fs layer 2025-09-07T07:39:47.7177830Z da63046995a2: Pulling fs layer 2025-09-07T07:39:47.7178011Z 78243fdb9906: Pulling fs layer 2025-09-07T07:39:47.7178185Z 6f70d5d50aba: Pulling fs layer 2025-09-07T07:39:47.7178362Z 4f4fb700ef54: Pulling fs layer 2025-09-07T07:39:47.7178528Z 69715d3ad3c4: Pulling fs layer 2025-09-07T07:39:47.7178705Z 7ace90c063f3: Pulling fs layer 2025-09-07T07:39:47.7178882Z acbd5447dd14: Pulling fs layer 2025-09-07T07:39:47.7179056Z 744523d9b7f5: Pulling fs layer 2025-09-07T07:39:47.7179223Z 5bd615a7b945: Pulling fs layer 2025-09-07T07:39:47.7179403Z f4986a00e3ae: Pulling fs layer 2025-09-07T07:39:47.7179618Z 21902f6e4f8c: Pulling fs layer 2025-09-07T07:39:47.7179792Z d80602abf3cc: Pulling fs layer 2025-09-07T07:39:47.7179974Z 3c51bf0bc362: Pulling fs layer 2025-09-07T07:39:47.7180148Z 119ab3bceafa: Pulling fs layer 2025-09-07T07:39:47.7180327Z af8eadc9eaab: Pulling fs layer 2025-09-07T07:39:47.7180501Z e7769b0d7a82: Pulling fs layer 2025-09-07T07:39:47.7180674Z ba263639b0f4: Pulling fs layer 2025-09-07T07:39:47.7180841Z a5ab7a280382: Pulling fs layer 2025-09-07T07:39:47.7181015Z 80b2232d952f: Pulling fs layer 2025-09-07T07:39:47.7181187Z cc93cd65e90f: Pulling fs layer 2025-09-07T07:39:47.7181363Z 0eed4c15712b: Pulling fs layer 2025-09-07T07:39:47.7181531Z 092516f71fe3: Pulling fs layer 2025-09-07T07:39:47.7181703Z 8c0825014a62: Pulling fs layer 2025-09-07T07:39:47.7181878Z 8e0d2f63da0a: Pulling fs layer 2025-09-07T07:39:47.7182051Z 73aae7958ba1: Pulling fs layer 2025-09-07T07:39:47.7182217Z ac6077ec9fa5: Pulling fs layer 2025-09-07T07:39:47.7182391Z bf4ee4e45e92: Pulling fs layer 2025-09-07T07:39:47.7182567Z c1b766f9b961: Pulling fs layer 2025-09-07T07:39:47.7182741Z 6e726ef07b5d: Pulling fs layer 2025-09-07T07:39:47.7182908Z 364070434a64: Pulling fs layer 2025-09-07T07:39:47.7183285Z 71f708151a84: Pulling fs layer 2025-09-07T07:39:47.7183468Z 622d8cfb39ea: Pulling fs layer 2025-09-07T07:39:47.7183647Z 284119a92cb1: Pulling fs layer 2025-09-07T07:39:47.7183815Z 96695940d842: Pulling fs layer 2025-09-07T07:39:47.7183995Z 7ddca6c4c050: Pulling fs layer 2025-09-07T07:39:47.7184176Z a95e1f2f1aad: Pulling fs layer 2025-09-07T07:39:47.7184351Z 8085756b0cc0: Pulling fs layer 2025-09-07T07:39:47.7184519Z 7e9ff0c6f103: Pulling fs layer 2025-09-07T07:39:47.7184700Z a625cbbc05b9: Pulling fs layer 2025-09-07T07:39:47.7184880Z 1c35b7d4b67c: Waiting 2025-09-07T07:39:47.7185046Z 69715d3ad3c4: Waiting 2025-09-07T07:39:47.7185192Z 68c20f3c23bb: Waiting 2025-09-07T07:39:47.7185353Z 4e2848642431: Pulling fs layer 2025-09-07T07:39:47.7185531Z 5e944f1ed1be: Pulling fs layer 2025-09-07T07:39:47.7185707Z 41619248f604: Pulling fs layer 2025-09-07T07:39:47.7185873Z be86f8c4f654: Pulling fs layer 2025-09-07T07:39:47.7186045Z 744523d9b7f5: Waiting 2025-09-07T07:39:47.7186284Z 21902f6e4f8c: Waiting 2025-09-07T07:39:47.7186451Z 7ace90c063f3: Waiting 2025-09-07T07:39:47.7186605Z ef1340e22a4b: Pulling fs layer 2025-09-07T07:39:47.7186787Z da8d8b696333: Pulling fs layer 2025-09-07T07:39:47.7186957Z 5bd615a7b945: Waiting 2025-09-07T07:39:47.7187118Z d80602abf3cc: Waiting 2025-09-07T07:39:47.7187272Z 386b0c49c498: Pulling fs layer 2025-09-07T07:39:47.7187446Z acbd5447dd14: Waiting 2025-09-07T07:39:47.7187603Z 7efa39950d32: Waiting 2025-09-07T07:39:47.7187766Z 2b1d0ea7efe0: Pulling fs layer 2025-09-07T07:39:47.7187957Z 3c51bf0bc362: Waiting 2025-09-07T07:39:47.7188104Z f4986a00e3ae: Waiting 2025-09-07T07:39:47.7188264Z 04c04be7408f: Pulling fs layer 2025-09-07T07:39:47.7188438Z af8eadc9eaab: Waiting 2025-09-07T07:39:47.7188587Z da63046995a2: Waiting 2025-09-07T07:39:47.7188737Z 119ab3bceafa: Waiting 2025-09-07T07:39:47.7188893Z 364070434a64: Waiting 2025-09-07T07:39:47.7189056Z f8690caa3ac5: Pulling fs layer 2025-09-07T07:39:47.7189229Z 2908d6baaa6b: Pulling fs layer 2025-09-07T07:39:47.7189413Z 37e2336101eb: Pulling fs layer 2025-09-07T07:39:47.7189594Z f1ac881fde33: Pulling fs layer 2025-09-07T07:39:47.7189775Z 43b14c67347e: Pulling fs layer 2025-09-07T07:39:47.7189938Z 71f708151a84: Waiting 2025-09-07T07:39:47.7190096Z 7ddca6c4c050: Waiting 2025-09-07T07:39:47.7190250Z ef1340e22a4b: Waiting 2025-09-07T07:39:47.7190403Z 7e9ff0c6f103: Waiting 2025-09-07T07:39:47.7190546Z 622d8cfb39ea: Waiting 2025-09-07T07:39:47.7190701Z a95e1f2f1aad: Waiting 2025-09-07T07:39:47.7190852Z da8d8b696333: Waiting 2025-09-07T07:39:47.7191007Z a625cbbc05b9: Waiting 2025-09-07T07:39:47.7191150Z e7769b0d7a82: Waiting 2025-09-07T07:39:47.7191302Z 8085756b0cc0: Waiting 2025-09-07T07:39:47.7191454Z 284119a92cb1: Waiting 2025-09-07T07:39:47.7191603Z 386b0c49c498: Waiting 2025-09-07T07:39:47.7191749Z ba263639b0f4: Waiting 2025-09-07T07:39:47.7191900Z 2b1d0ea7efe0: Waiting 2025-09-07T07:39:47.7192054Z a10eb16a7271: Waiting 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complete 2025-09-07T07:39:49.3305075Z 4f4fb700ef54: Verifying Checksum 2025-09-07T07:39:49.3305309Z 4f4fb700ef54: Download complete 2025-09-07T07:39:49.4061165Z 69715d3ad3c4: Verifying Checksum 2025-09-07T07:39:49.4061495Z 69715d3ad3c4: Download complete 2025-09-07T07:39:49.4922846Z 7ace90c063f3: Verifying Checksum 2025-09-07T07:39:49.4923150Z 7ace90c063f3: Download complete 2025-09-07T07:39:49.5633124Z acbd5447dd14: Verifying Checksum 2025-09-07T07:39:49.5633430Z acbd5447dd14: Download complete 2025-09-07T07:39:49.6702341Z 744523d9b7f5: Download complete 2025-09-07T07:39:49.7596740Z 5bd615a7b945: Verifying Checksum 2025-09-07T07:39:49.7597046Z 5bd615a7b945: Download complete 2025-09-07T07:39:49.8478416Z f4986a00e3ae: Download complete 2025-09-07T07:39:49.9120127Z 21902f6e4f8c: Verifying Checksum 2025-09-07T07:39:49.9120355Z 21902f6e4f8c: Download complete 2025-09-07T07:39:50.0002113Z d80602abf3cc: Download complete 2025-09-07T07:39:50.0857138Z 3c51bf0bc362: Verifying Checksum 2025-09-07T07:39:50.0857387Z 3c51bf0bc362: Download complete 2025-09-07T07:39:50.1710341Z 119ab3bceafa: Download complete 2025-09-07T07:39:50.2827497Z af8eadc9eaab: Verifying Checksum 2025-09-07T07:39:50.2827763Z af8eadc9eaab: Download complete 2025-09-07T07:39:50.3740590Z e7769b0d7a82: Verifying Checksum 2025-09-07T07:39:50.3740837Z e7769b0d7a82: Download complete 2025-09-07T07:39:50.9217903Z 572424b92528: Verifying Checksum 2025-09-07T07:39:50.9218162Z 572424b92528: Download complete 2025-09-07T07:39:51.0219118Z a5ab7a280382: Download complete 2025-09-07T07:39:51.0860409Z 80b2232d952f: Verifying Checksum 2025-09-07T07:39:51.0860693Z 80b2232d952f: Download complete 2025-09-07T07:39:51.1706220Z cc93cd65e90f: Verifying Checksum 2025-09-07T07:39:51.1706544Z cc93cd65e90f: Download complete 2025-09-07T07:39:51.2298440Z 0eed4c15712b: Verifying Checksum 2025-09-07T07:39:51.2298704Z 0eed4c15712b: Download complete 2025-09-07T07:39:51.4813834Z 092516f71fe3: Download complete 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2025-09-07T07:39:57.8624550Z 68c20f3c23bb: Pull complete 2025-09-07T07:39:58.1137101Z 7efa39950d32: Pull complete 2025-09-07T07:39:58.3409908Z a10eb16a7271: Pull complete 2025-09-07T07:39:58.5728467Z 7d52cf579654: Pull complete 2025-09-07T07:40:00.7175694Z cb6a20fcf4e2: Pull complete 2025-09-07T07:40:01.2744643Z 46fb6a8b3e1d: Pull complete 2025-09-07T07:40:01.6525674Z 5ad6977cc38e: Pull complete 2025-09-07T07:40:01.9422132Z da63046995a2: Pull complete 2025-09-07T07:40:02.2617010Z 78243fdb9906: Pull complete 2025-09-07T07:40:22.5560171Z 6f70d5d50aba: Verifying Checksum 2025-09-07T07:40:22.5560480Z 6f70d5d50aba: Download complete 2025-09-07T07:40:22.6323524Z 622d8cfb39ea: Download complete 2025-09-07T07:40:22.6995289Z 284119a92cb1: Verifying Checksum 2025-09-07T07:40:22.6995600Z 284119a92cb1: Download complete 2025-09-07T07:40:22.7906541Z 96695940d842: Verifying Checksum 2025-09-07T07:40:22.7906843Z 96695940d842: Download complete 2025-09-07T07:40:22.8660668Z 7ddca6c4c050: Verifying 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f8690caa3ac5: Pull complete 2025-09-07T07:46:27.0319021Z 2908d6baaa6b: Pull complete 2025-09-07T07:46:27.4881445Z 37e2336101eb: Pull complete 2025-09-07T07:46:28.2019384Z f1ac881fde33: Pull complete 2025-09-07T07:46:29.5796062Z 43b14c67347e: Pull complete 2025-09-07T07:46:30.1684901Z Digest: sha256:383efb45082f20b8c808cb0ba4df693a01359592233f641f1f486911ac320a9a 2025-09-07T07:46:30.2695994Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:46:30.3027569Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:46:30.3101255Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:46:30.3101822Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:46:30.3109897Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:30.3110132Z env: 2025-09-07T07:46:30.3110297Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:30.3110475Z ##[endgroup] 2025-09-07T07:46:30.3175025Z Prepare all required actions 2025-09-07T07:46:30.3268223Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-09-07T07:46:30.3268441Z with: 2025-09-07T07:46:30.3268944Z github-token: *** 2025-09-07T07:46:30.3269095Z env: 2025-09-07T07:46:30.3269388Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:30.3269562Z ##[endgroup] 2025-09-07T07:46:30.3326012Z ##[group]Run set -eux 2025-09-07T07:46:30.3326188Z set -eux 2025-09-07T07:46:30.3326458Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T07:46:30.3330443Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:30.3330677Z env: 2025-09-07T07:46:30.3330831Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:30.3331144Z GITHUB_TOKEN: *** 2025-09-07T07:46:30.3331307Z ##[endgroup] 2025-09-07T07:46:30.3348350Z + python3 .github/scripts/get_workflow_job_id.py 17525285611 i-0ae25a36c56feb34d 2025-09-07T07:46:30.9162182Z Setting output job-id=49775585802 2025-09-07T07:46:30.9165400Z Setting output job-name=inductor-test-nightly-freezing / test (inductor_torchbench_perf_cpu_x86, 1, 4, linux.24xl.spr-metal) 2025-09-07T07:46:30.9249022Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T07:46:30.9249468Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T07:46:30.9250011Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-09-07T07:46:30.9250490Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:46:30.9254304Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:30.9254538Z env: 2025-09-07T07:46:30.9254691Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:30.9254865Z JOB_ID: 49775585802 2025-09-07T07:46:30.9255194Z JOB_NAME: inductor-test-nightly-freezing / test (inductor_torchbench_perf_cpu_x86, 1, 4, linux.24xl.spr-metal) 2025-09-07T07:46:30.9255576Z WORKFLOW_NAME: inductor-perf-nightly-x86 2025-09-07T07:46:30.9255825Z WORKFLOW_RUN_ID: 17525285611 2025-09-07T07:46:30.9256007Z MONITOR_LOG_INTERVAL: 15 2025-09-07T07:46:30.9256179Z MONITOR_DATA_COLLECT_INTERVAL: 4 2025-09-07T07:46:30.9256373Z ##[endgroup] 2025-09-07T07:46:31.6501553Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T07:46:31.9228758Z Collecting psutil==5.9.8 2025-09-07T07:46:31.9343765Z Downloading psutil-5.9.8-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (288 kB) 2025-09-07T07:46:32.1537145Z Collecting dataclasses_json==0.6.7 2025-09-07T07:46:32.1560516Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-09-07T07:46:32.2078291Z Collecting nvidia-ml-py==11.525.84 2025-09-07T07:46:32.2104212Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-09-07T07:46:32.3294628Z Collecting marshmallow<4.0.0,>=3.18.0 2025-09-07T07:46:32.3317551Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-09-07T07:46:32.4563769Z Collecting typing-inspect<1,>=0.4.0 2025-09-07T07:46:32.4584301Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-09-07T07:46:32.6207060Z Collecting packaging>=17.0 2025-09-07T07:46:32.6231101Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-09-07T07:46:32.7547678Z Collecting mypy-extensions>=0.3.0 2025-09-07T07:46:32.7573410Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-09-07T07:46:32.8954220Z Collecting typing-extensions>=3.7.4 2025-09-07T07:46:32.8978361Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-09-07T07:46:33.2206514Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-09-07T07:46:33.5902447Z Successfully installed dataclasses-json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 nvidia-ml-py-11.525.84 packaging-25.0 psutil-5.9.8 typing-extensions-4.15.0 typing-inspect-0.9.0 2025-09-07T07:46:33.7524895Z Prepare all required actions 2025-09-07T07:46:33.7525189Z Getting action download info 2025-09-07T07:46:33.9008124Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-09-07T07:46:34.2368978Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-09-07T07:46:34.4898371Z ##[group]Run ./.github/actions/download-build-artifacts 2025-09-07T07:46:34.4898620Z with: 2025-09-07T07:46:34.4898803Z name: linux-jammy-py3.9-gcc11-build 2025-09-07T07:46:34.4899017Z s3-bucket: gha-artifacts 2025-09-07T07:46:34.4899202Z env: 2025-09-07T07:46:34.4899355Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:34.4899535Z ##[endgroup] 2025-09-07T07:46:34.4979987Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T07:46:34.4980206Z with: 2025-09-07T07:46:34.4980379Z name: linux-jammy-py3.9-gcc11-build 2025-09-07T07:46:34.4980594Z s3-bucket: gha-artifacts 2025-09-07T07:46:34.4980806Z region: us-east-1 2025-09-07T07:46:34.4980958Z env: 2025-09-07T07:46:34.4981111Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:34.4981283Z ##[endgroup] 2025-09-07T07:46:35.0253204Z (node:57340) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T07:46:35.0253547Z 2025-09-07T07:46:35.0253672Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T07:46:35.0254009Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T07:46:35.0254340Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T07:46:36.0340863Z Found 1 objects with prefix pytorch/pytorch/17525285611/linux-jammy-py3.9-gcc11-build/ 2025-09-07T07:46:36.0341402Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-09-07T07:46:40.6467074Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-09-07T07:46:40.6470154Z Artifact download has finished successfully 2025-09-07T07:46:40.6711731Z ##[group]Run unzip -o artifacts.zip 2025-09-07T07:46:40.6711964Z unzip -o artifacts.zip 2025-09-07T07:46:40.6716487Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:40.6716737Z env: 2025-09-07T07:46:40.6716891Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:40.6717070Z ##[endgroup] 2025-09-07T07:46:40.7085400Z Archive: artifacts.zip 2025-09-07T07:46:40.7085621Z creating: dist/ 2025-09-07T07:46:41.7189157Z inflating: dist/torch-2.9.0a0+git93fb23d-cp39-cp39-linux_x86_64.whl 2025-09-07T07:46:41.7189531Z creating: dist/vision/ 2025-09-07T07:46:41.7259124Z inflating: dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-09-07T07:46:41.7259426Z creating: dist/audio/ 2025-09-07T07:46:41.7287060Z inflating: dist/audio/torchaudio-2.8.0a0+2e30055-cp39-cp39-linux_x86_64.whl 2025-09-07T07:46:41.7287386Z creating: dist/ao/ 2025-09-07T07:46:41.7322339Z inflating: dist/ao/torchao-0.7.0+git51c87b6e-py3-none-any.whl 2025-09-07T07:46:41.7428631Z inflating: dist/.ninja_log 2025-09-07T07:46:41.7428886Z creating: build/custom_test_artifacts/ 2025-09-07T07:46:41.7429173Z creating: build/custom_test_artifacts/custom-op-build/ 2025-09-07T07:46:41.7429471Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/ 2025-09-07T07:46:41.7429812Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/pkgRedirects/ 2025-09-07T07:46:41.7431395Z inflating: 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build/bin/c10_bit_cast_test 2025-09-07T07:46:46.1224728Z inflating: build/bin/c10_complex_math_test 2025-09-07T07:46:46.1277270Z inflating: build/bin/c10_complex_test 2025-09-07T07:46:46.1324298Z inflating: build/bin/c10_error_test 2025-09-07T07:46:46.1374520Z inflating: build/bin/c10_exception_test 2025-09-07T07:46:46.1422275Z inflating: build/bin/c10_flags_test 2025-09-07T07:46:46.1470215Z inflating: build/bin/c10_generic_math_test 2025-09-07T07:46:46.1518523Z inflating: build/bin/c10_irange_test 2025-09-07T07:46:46.1666451Z inflating: build/bin/c10_intrusive_ptr_test 2025-09-07T07:46:46.1715257Z inflating: build/bin/c10_lazy_test 2025-09-07T07:46:46.1769201Z inflating: build/bin/c10_logging_test 2025-09-07T07:46:46.1838562Z inflating: build/bin/c10_optional_test 2025-09-07T07:46:46.1896817Z inflating: build/bin/c10_ordered_preserving_dict_test 2025-09-07T07:46:46.1947257Z inflating: build/bin/c10_registry_test 2025-09-07T07:46:46.2086601Z inflating: build/bin/c10_small_vector_test 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2025-09-07T07:46:46.4441024Z inflating: build/bin/NamedTensor_test 2025-09-07T07:46:46.4496169Z inflating: build/bin/apply_utils_test 2025-09-07T07:46:46.4551431Z inflating: build/bin/atest 2025-09-07T07:46:46.4611630Z inflating: build/bin/basic 2025-09-07T07:46:46.4664115Z inflating: build/bin/broadcast_test 2025-09-07T07:46:46.4712567Z inflating: build/bin/cpu_allocator_test 2025-09-07T07:46:46.4767524Z inflating: build/bin/cpu_generator_test 2025-09-07T07:46:46.4817888Z inflating: build/bin/cpu_profiling_allocator_test 2025-09-07T07:46:46.4902324Z inflating: build/bin/cpu_rng_test 2025-09-07T07:46:46.4950882Z inflating: build/bin/dlconvertor_test 2025-09-07T07:46:46.5005158Z inflating: build/bin/extension_backend_test 2025-09-07T07:46:46.5057690Z inflating: build/bin/half_test 2025-09-07T07:46:46.5146075Z inflating: build/bin/ivalue_test 2025-09-07T07:46:46.5193526Z inflating: build/bin/lazy_tensor_test 2025-09-07T07:46:46.5244724Z inflating: build/bin/math_kernel_test 2025-09-07T07:46:46.5295653Z inflating: build/bin/memory_format_test 2025-09-07T07:46:46.5346594Z inflating: build/bin/memory_overlapping_test 2025-09-07T07:46:46.5397021Z inflating: build/bin/mobile_memory_cleanup 2025-09-07T07:46:46.5450284Z inflating: build/bin/native_test 2025-09-07T07:46:46.5498648Z inflating: build/bin/operator_name_test 2025-09-07T07:46:46.5546822Z inflating: build/bin/operators_test 2025-09-07T07:46:46.5596177Z inflating: build/bin/packedtensoraccessor_test 2025-09-07T07:46:46.5659019Z inflating: build/bin/pow_test 2025-09-07T07:46:46.5713334Z inflating: build/bin/quantized_test 2025-09-07T07:46:46.5761136Z inflating: build/bin/reduce_ops_test 2025-09-07T07:46:46.5809534Z inflating: build/bin/reportMemoryUsage_test 2025-09-07T07:46:46.5862737Z inflating: build/bin/scalar_tensor_test 2025-09-07T07:46:46.5918290Z inflating: build/bin/scalar_test 2025-09-07T07:46:46.5967057Z inflating: build/bin/StorageUtils_test 2025-09-07T07:46:46.6016281Z inflating: build/bin/stride_properties_test 2025-09-07T07:46:46.6088854Z inflating: build/bin/tensor_iterator_test 2025-09-07T07:46:46.6140269Z inflating: build/bin/test_parallel 2025-09-07T07:46:46.6188312Z inflating: build/bin/thread_init_test 2025-09-07T07:46:46.6240167Z inflating: build/bin/type_ptr_test 2025-09-07T07:46:46.6295984Z inflating: build/bin/type_test 2025-09-07T07:46:46.6345773Z inflating: build/bin/undefined_tensor_test 2025-09-07T07:46:46.6392974Z inflating: build/bin/verify_api_visibility 2025-09-07T07:46:46.6458265Z inflating: build/bin/legacy_vmap_test 2025-09-07T07:46:46.6506680Z inflating: build/bin/weakref_test 2025-09-07T07:46:46.6555472Z inflating: build/bin/wrapdim_test 2025-09-07T07:46:46.6604662Z inflating: build/bin/xla_tensor_test 2025-09-07T07:46:46.6660866Z inflating: build/bin/IListRef_test 2025-09-07T07:46:46.6756744Z inflating: build/bin/List_test 2025-09-07T07:46:46.6820646Z inflating: build/bin/KernelFunction_test 2025-09-07T07:46:46.6927367Z inflating: build/bin/kernel_function_legacy_test 2025-09-07T07:46:46.7013913Z inflating: build/bin/kernel_function_test 2025-09-07T07:46:46.7127007Z inflating: build/bin/kernel_lambda_legacy_test 2025-09-07T07:46:46.7219063Z inflating: build/bin/kernel_lambda_test 2025-09-07T07:46:46.7275950Z inflating: build/bin/kernel_stackbased_test 2025-09-07T07:46:46.7362647Z inflating: build/bin/make_boxed_from_unboxed_functor_test 2025-09-07T07:46:46.7411178Z inflating: build/bin/CppSignature_test 2025-09-07T07:46:46.7463366Z inflating: build/bin/backend_fallback_test 2025-09-07T07:46:46.7734153Z inflating: build/bin/op_registration_test 2025-09-07T07:46:46.7780408Z inflating: build/bin/op_allowlist_test 2025-09-07T07:46:46.7842982Z inflating: build/bin/inline_container_test 2025-09-07T07:46:46.8807501Z inflating: build/bin/test_jit 2025-09-07T07:46:46.8856073Z inflating: build/bin/FileStoreTest 2025-09-07T07:46:46.8906021Z inflating: build/bin/BackoffTest 2025-09-07T07:46:46.8959844Z inflating: build/bin/TCPStoreTest 2025-09-07T07:46:46.9291851Z inflating: build/bin/test_nativert 2025-09-07T07:46:46.9341861Z inflating: build/bin/HashStoreTest 2025-09-07T07:46:46.9343937Z inflating: build/bin/example_allreduce 2025-09-07T07:46:46.9405781Z inflating: build/bin/ProcessGroupGlooTest 2025-09-07T07:46:46.9458046Z inflating: build/bin/test_dist_autograd 2025-09-07T07:46:46.9521400Z inflating: build/bin/test_cpp_rpc 2025-09-07T07:46:47.0511334Z inflating: build/bin/test_api 2025-09-07T07:46:47.0511677Z inflating: build/bin/parallel_benchmark 2025-09-07T07:46:47.0811450Z inflating: build/bin/test_lazy 2025-09-07T07:46:47.0812803Z inflating: build/bin/torch_shm_manager 2025-09-07T07:46:47.0813084Z creating: .additional_ci_files/ 2025-09-07T07:46:47.0889115Z inflating: .additional_ci_files/test-times.json 2025-09-07T07:46:47.1180791Z inflating: .additional_ci_files/test-class-times.json 2025-09-07T07:46:47.1234994Z ##[group]Run rm artifacts.zip 2025-09-07T07:46:47.1235203Z rm artifacts.zip 2025-09-07T07:46:47.1239757Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:47.1239979Z env: 2025-09-07T07:46:47.1240127Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:47.1240301Z ##[endgroup] 2025-09-07T07:46:47.1594555Z ##[group]Run df -H 2025-09-07T07:46:47.1594728Z df -H 2025-09-07T07:46:47.1598435Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:47.1598669Z env: 2025-09-07T07:46:47.1598838Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:47.1599030Z ##[endgroup] 2025-09-07T07:46:47.1630193Z Filesystem Size Used Avail Use% Mounted on 2025-09-07T07:46:47.1630470Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-09-07T07:46:47.1630695Z tmpfs 102G 0 102G 0% /dev/shm 2025-09-07T07:46:47.1630909Z tmpfs 41G 11M 41G 1% /run 2025-09-07T07:46:47.1631112Z /dev/nvme0n1p1 215G 72G 144G 34% / 2025-09-07T07:46:47.1631320Z tmpfs 102G 13k 102G 1% /tmp 2025-09-07T07:46:47.1631660Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-09-07T07:46:47.1653166Z Prepare all required actions 2025-09-07T07:46:47.1653750Z Getting action download info 2025-09-07T07:46:47.3095944Z ##[group]Run ./.github/actions/download-td-artifacts 2025-09-07T07:46:47.3096171Z with: 2025-09-07T07:46:47.3096316Z env: 2025-09-07T07:46:47.3096471Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:47.3096637Z ##[endgroup] 2025-09-07T07:46:47.7798197Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T07:46:47.7798415Z with: 2025-09-07T07:46:47.7798555Z name: td_results 2025-09-07T07:46:47.7798721Z s3-bucket: gha-artifacts 2025-09-07T07:46:47.7798898Z region: us-east-1 2025-09-07T07:46:47.7799159Z env: 2025-09-07T07:46:47.7799301Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:47.7799470Z ##[endgroup] 2025-09-07T07:46:48.1077549Z (node:57365) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T07:46:48.1077840Z 2025-09-07T07:46:48.1078022Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T07:46:48.1078343Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T07:46:48.1078674Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T07:46:48.1932381Z Found 0 objects with prefix pytorch/pytorch/17525285611/td_results/ 2025-09-07T07:46:48.1935811Z Artifact download has finished successfully 2025-09-07T07:46:48.2129981Z ##[group]Run mkdir -p .additional_ci_files 2025-09-07T07:46:48.2130242Z mkdir -p .additional_ci_files 2025-09-07T07:46:48.2130514Z mv td_results.json .additional_ci_files/td_results.json || true 2025-09-07T07:46:48.2135051Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:48.2135283Z env: 2025-09-07T07:46:48.2135433Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:48.2135613Z ##[endgroup] 2025-09-07T07:46:48.2172739Z mv: cannot stat 'td_results.json': No such file or directory 2025-09-07T07:46:48.2350635Z ##[group]Run .github/scripts/parse_ref.py 2025-09-07T07:46:48.2350868Z .github/scripts/parse_ref.py 2025-09-07T07:46:48.2354728Z shell: /usr/bin/bash -e {0} 2025-09-07T07:46:48.2354910Z env: 2025-09-07T07:46:48.2355063Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:48.2355233Z ##[endgroup] 2025-09-07T07:46:48.3030910Z Setting output branch=main 2025-09-07T07:46:48.3112635Z Prepare all required actions 2025-09-07T07:46:48.3112929Z Getting action download info 2025-09-07T07:46:48.4614501Z ##[group]Run ./.github/actions/filter-test-configs 2025-09-07T07:46:48.4614726Z with: 2025-09-07T07:46:48.4615026Z github-token: *** 2025-09-07T07:46:48.4617180Z test-matrix: {"include": [{"config": "inductor_huggingface_perf_cpu_x86", "shard": 1, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_huggingface_perf_cpu_x86", "shard": 2, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_huggingface_perf_cpu_x86", "shard": 3, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 1, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 2, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 3, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 4, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 5, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 1, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 2, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 3, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 4, "num_shards": 4, "runner": "linux.24xl.spr-metal"}]} 2025-09-07T07:46:48.4619646Z job-name: inductor-test-nightly-freezing / test (inductor_torchbench_perf_cpu_x86, 1, 4, linux.24xl.spr-metal) 2025-09-07T07:46:48.4619980Z env: 2025-09-07T07:46:48.4620129Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:48.4620303Z ##[endgroup] 2025-09-07T07:46:48.4783892Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T07:46:48.4784095Z with: 2025-09-07T07:46:48.4784247Z shell: bash 2025-09-07T07:46:48.4784402Z timeout_minutes: 10 2025-09-07T07:46:48.4784562Z max_attempts: 5 2025-09-07T07:46:48.4784726Z retry_wait_seconds: 30 2025-09-07T07:46:48.4785194Z 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 2025-09-07T07:46:48.4785748Z polling_interval_seconds: 1 2025-09-07T07:46:48.4785928Z warning_on_retry: true 2025-09-07T07:46:48.4786098Z continue_on_error: false 2025-09-07T07:46:48.4786267Z env: 2025-09-07T07:46:48.4786404Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:48.4786705Z GITHUB_TOKEN: *** 2025-09-07T07:46:48.4786864Z ##[endgroup] 2025-09-07T07:46:48.5964758Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-09-07T07:46:48.7592376Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T07:46:48.8749733Z Collecting requests==2.27.1 2025-09-07T07:46:48.9022603Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-09-07T07:46:49.1223726Z Collecting pyyaml==6.0.2 2025-09-07T07:46:49.1303335Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-09-07T07:46:49.5383973Z Collecting charset-normalizer~=2.0.0 2025-09-07T07:46:49.5461886Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-09-07T07:46:49.6100526Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-09-07T07:46:49.7035940Z Collecting certifi>=2017.4.17 2025-09-07T07:46:49.7113801Z Downloading certifi-2025.8.3-py3-none-any.whl (161 kB) 2025-09-07T07:46:49.7920042Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-09-07T07:46:49.8462475Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-09-07T07:46:50.3561156Z Successfully installed certifi-2025.8.3 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-09-07T07:46:50.5334648Z Command completed after 1 attempt(s). 2025-09-07T07:46:50.5376159Z ##[group]Run set -x 2025-09-07T07:46:50.5376345Z set -x 2025-09-07T07:46:50.5376501Z  2025-09-07T07:46:50.5376737Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T07:46:50.5377041Z # in runner workspace 2025-09-07T07:46:50.5377286Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-09-07T07:46:50.5381963Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:50.5382194Z env: 2025-09-07T07:46:50.5382341Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:50.5382517Z ##[endgroup] 2025-09-07T07:46:50.5400476Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-09-07T07:46:50.5527973Z Setting output branch=main 2025-09-07T07:46:50.5571129Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T07:46:50.5571412Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T07:46:50.5571636Z echo "Job name: ${JOB_NAME}" 2025-09-07T07:46:50.5571820Z  2025-09-07T07:46:50.5572060Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T07:46:50.5572350Z # in runner workspace 2025-09-07T07:46:50.5572626Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-09-07T07:46:50.5572919Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-09-07T07:46:50.5573126Z  --job-name "${JOB_NAME}" \ 2025-09-07T07:46:50.5575368Z  --test-matrix "{"include": [{"config": "inductor_huggingface_perf_cpu_x86", "shard": 1, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_huggingface_perf_cpu_x86", "shard": 2, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_huggingface_perf_cpu_x86", "shard": 3, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 1, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 2, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 3, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 4, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 5, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 1, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 2, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 3, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 4, "num_shards": 4, "runner": "linux.24xl.spr-metal"}]}" \ 2025-09-07T07:46:50.5577894Z  --selected-test-configs "" \ 2025-09-07T07:46:50.5578122Z  --pr-number "${PR_NUMBER}" \ 2025-09-07T07:46:50.5578328Z  --tag "${TAG}" \ 2025-09-07T07:46:50.5578538Z  --event-name "${EVENT_NAME}" \ 2025-09-07T07:46:50.5578744Z  --schedule "${SCHEDULE}" \ 2025-09-07T07:46:50.5578951Z  --branch "${HEAD_BRANCH}" 2025-09-07T07:46:50.5582591Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:50.5582816Z env: 2025-09-07T07:46:50.5582975Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:50.5583343Z GITHUB_TOKEN: *** 2025-09-07T07:46:50.5583680Z JOB_NAME: inductor-test-nightly-freezing / test (inductor_torchbench_perf_cpu_x86, 1, 4, linux.24xl.spr-metal) 2025-09-07T07:46:50.5584027Z PR_NUMBER: 2025-09-07T07:46:50.5584173Z TAG: 2025-09-07T07:46:50.5584317Z EVENT_NAME: schedule 2025-09-07T07:46:50.5584484Z SCHEDULE: 0 7 * * * 2025-09-07T07:46:50.5584640Z HEAD_BRANCH: main 2025-09-07T07:46:50.5584803Z ##[endgroup] 2025-09-07T07:46:50.5601175Z Workflow: inductor-perf-nightly-x86 2025-09-07T07:46:50.5601558Z Job name: inductor-test-nightly-freezing / test (inductor_torchbench_perf_cpu_x86, 1, 4, linux.24xl.spr-metal) 2025-09-07T07:46:50.7326382Z Setting output keep-going=True 2025-09-07T07:46:50.7326644Z Setting output ci-verbose-test-logs=False 2025-09-07T07:46:50.7326890Z Setting output ci-test-showlocals=False 2025-09-07T07:46:50.7327099Z Setting output ci-no-test-timeout=False 2025-09-07T07:46:50.7327307Z Setting output ci-no-td=False 2025-09-07T07:46:50.7327508Z Setting output ci-td-distributed=False 2025-09-07T07:46:50.7327714Z Setting output is-unstable=False 2025-09-07T07:46:50.7327902Z Setting output reenabled-issues= 2025-09-07T07:46:50.7330118Z Setting output test-matrix={"include": [{"config": "inductor_huggingface_perf_cpu_x86", "shard": 1, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_huggingface_perf_cpu_x86", "shard": 2, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_huggingface_perf_cpu_x86", "shard": 3, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 1, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 2, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 3, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 4, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 5, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 1, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 2, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 3, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 4, "num_shards": 4, "runner": "linux.24xl.spr-metal"}]} 2025-09-07T07:46:50.7332481Z Setting output is-test-matrix-empty=False 2025-09-07T07:46:50.7453653Z ##[group]Run echo "Filtered matrix:" 2025-09-07T07:46:50.7453878Z echo "Filtered matrix:" 2025-09-07T07:46:50.7456039Z echo "{"include": [{"config": "inductor_huggingface_perf_cpu_x86", "shard": 1, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_huggingface_perf_cpu_x86", "shard": 2, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_huggingface_perf_cpu_x86", "shard": 3, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 1, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 2, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 3, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 4, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 5, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 1, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 2, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 3, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 4, "num_shards": 4, "runner": "linux.24xl.spr-metal"}]}" 2025-09-07T07:46:50.7458464Z  2025-09-07T07:46:50.7458655Z echo 2025-09-07T07:46:50.7458892Z echo "Is the current job unstable? False" 2025-09-07T07:46:50.7459139Z  2025-09-07T07:46:50.7459325Z echo 2025-09-07T07:46:50.7459545Z echo "Is keep-going label set? True" 2025-09-07T07:46:50.7459779Z  2025-09-07T07:46:50.7459914Z echo 2025-09-07T07:46:50.7460137Z echo "Reenabled issues? " 2025-09-07T07:46:50.7463797Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:50.7464029Z env: 2025-09-07T07:46:50.7464189Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:50.7464371Z ##[endgroup] 2025-09-07T07:46:50.7480711Z Filtered matrix: 2025-09-07T07:46:50.7483246Z {include: [{config: inductor_huggingface_perf_cpu_x86, shard: 1, num_shards: 3, runner: linux.24xl.spr-metal}, {config: inductor_huggingface_perf_cpu_x86, shard: 2, num_shards: 3, runner: linux.24xl.spr-metal}, {config: inductor_huggingface_perf_cpu_x86, shard: 3, num_shards: 3, runner: linux.24xl.spr-metal}, {config: inductor_timm_perf_cpu_x86, shard: 1, num_shards: 5, runner: linux.24xl.spr-metal}, {config: inductor_timm_perf_cpu_x86, shard: 2, num_shards: 5, runner: linux.24xl.spr-metal}, {config: inductor_timm_perf_cpu_x86, shard: 3, num_shards: 5, runner: linux.24xl.spr-metal}, {config: inductor_timm_perf_cpu_x86, shard: 4, num_shards: 5, runner: linux.24xl.spr-metal}, {config: inductor_timm_perf_cpu_x86, shard: 5, num_shards: 5, runner: linux.24xl.spr-metal}, {config: inductor_torchbench_perf_cpu_x86, shard: 1, num_shards: 4, runner: linux.24xl.spr-metal}, {config: inductor_torchbench_perf_cpu_x86, shard: 2, num_shards: 4, runner: linux.24xl.spr-metal}, {config: inductor_torchbench_perf_cpu_x86, shard: 3, num_shards: 4, runner: linux.24xl.spr-metal}, {config: inductor_torchbench_perf_cpu_x86, shard: 4, num_shards: 4, runner: linux.24xl.spr-metal}]} 2025-09-07T07:46:50.7485444Z 2025-09-07T07:46:50.7485526Z Is the current job unstable? False 2025-09-07T07:46:50.7485664Z 2025-09-07T07:46:50.7485738Z Is keep-going label set? True 2025-09-07T07:46:50.7485852Z 2025-09-07T07:46:50.7485922Z Reenabled issues? 2025-09-07T07:46:50.7631127Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T07:46:50.7631443Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T07:46:50.7635379Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:50.7635611Z env: 2025-09-07T07:46:50.7635762Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:50.7635936Z JOB_TIMEOUT: 720 2025-09-07T07:46:50.7636083Z ##[endgroup] 2025-09-07T07:46:50.8379929Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:46:50.8380246Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:46:50.8381642Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:46:50.8385070Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:50.8385303Z env: 2025-09-07T07:46:50.8385462Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:50.8385638Z ##[endgroup] 2025-09-07T07:46:50.8483949Z ##[group]Run set -x 2025-09-07T07:46:50.8484189Z set -x 2025-09-07T07:46:50.8484344Z  2025-09-07T07:46:50.8484514Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-09-07T07:46:50.8484762Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-09-07T07:46:50.8485008Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-09-07T07:46:50.8485239Z  TEST_COMMAND=.ci/onnx/test.sh 2025-09-07T07:46:50.8485436Z else 2025-09-07T07:46:50.8485601Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T07:46:50.8485797Z fi 2025-09-07T07:46:50.8485936Z  2025-09-07T07:46:50.8486118Z # Leaving 1GB for the runner and other things 2025-09-07T07:46:50.8486455Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-09-07T07:46:50.8486966Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-09-07T07:46:50.8487370Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-09-07T07:46:50.8487676Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-09-07T07:46:50.8487923Z  2025-09-07T07:46:50.8488107Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T07:46:50.8488323Z  SHM_OPTS= 2025-09-07T07:46:50.8488484Z  JENKINS_USER= 2025-09-07T07:46:50.8488709Z  # ensure that docker container cleanly exits in 12 hours 2025-09-07T07:46:50.8488992Z  # if for some reason cleanup action doesn't stop container 2025-09-07T07:46:50.8489239Z  # when job is cancelled 2025-09-07T07:46:50.8489435Z  DOCKER_SHELL_CMD="sleep 12h" 2025-09-07T07:46:50.8489615Z else 2025-09-07T07:46:50.8489786Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-09-07T07:46:50.8489998Z  JENKINS_USER="--user jenkins" 2025-09-07T07:46:50.8490195Z  DOCKER_SHELL_CMD= 2025-09-07T07:46:50.8490361Z fi 2025-09-07T07:46:50.8490502Z  2025-09-07T07:46:50.8490713Z # detached container should get cleaned up by teardown_ec2_linux 2025-09-07T07:46:50.8491019Z # TODO: Stop building test binaries as part of the build phase 2025-09-07T07:46:50.8491363Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-09-07T07:46:50.8491671Z # shellcheck disable=SC2086,SC2090 2025-09-07T07:46:50.8491879Z container_name=$(docker run \ 2025-09-07T07:46:50.8492080Z  ${GPU_FLAG:-} \ 2025-09-07T07:46:50.8492281Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-09-07T07:46:50.8492488Z  -e BUILD_ENVIRONMENT \ 2025-09-07T07:46:50.8492680Z  -e PR_NUMBER \ 2025-09-07T07:46:50.8492856Z  -e GITHUB_ACTIONS \ 2025-09-07T07:46:50.8493040Z  -e GITHUB_REPOSITORY \ 2025-09-07T07:46:50.8493225Z  -e GITHUB_WORKFLOW \ 2025-09-07T07:46:50.8493409Z  -e GITHUB_JOB \ 2025-09-07T07:46:50.8493582Z  -e GITHUB_RUN_ID \ 2025-09-07T07:46:50.8493763Z  -e GITHUB_RUN_NUMBER \ 2025-09-07T07:46:50.8493947Z  -e GITHUB_RUN_ATTEMPT \ 2025-09-07T07:46:50.8494133Z  -e JOB_ID \ 2025-09-07T07:46:50.8494300Z  -e JOB_NAME \ 2025-09-07T07:46:50.8494469Z  -e BASE_SHA \ 2025-09-07T07:46:50.8494626Z  -e BRANCH \ 2025-09-07T07:46:50.8494785Z  -e SHA1 \ 2025-09-07T07:46:50.8494951Z  -e AWS_DEFAULT_REGION \ 2025-09-07T07:46:50.8495135Z  -e IN_WHEEL_TEST \ 2025-09-07T07:46:50.8495390Z  -e SHARD_NUMBER \ 2025-09-07T07:46:50.8495566Z  -e TEST_CONFIG \ 2025-09-07T07:46:50.8495746Z  -e NUM_TEST_SHARDS \ 2025-09-07T07:46:50.8495937Z  -e REENABLED_ISSUES \ 2025-09-07T07:46:50.8496124Z  -e CONTINUE_THROUGH_ERROR \ 2025-09-07T07:46:50.8496391Z  -e VERBOSE_TEST_LOGS \ 2025-09-07T07:46:50.8496582Z  -e TEST_SHOWLOCALS \ 2025-09-07T07:46:50.8496769Z  -e NO_TEST_TIMEOUT \ 2025-09-07T07:46:50.8496937Z  -e NO_TD \ 2025-09-07T07:46:50.8497109Z  -e TD_DISTRIBUTED \ 2025-09-07T07:46:50.8497295Z  -e PR_LABELS \ 2025-09-07T07:46:50.8497496Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-09-07T07:46:50.8497695Z  -e SCCACHE_BUCKET \ 2025-09-07T07:46:50.8497879Z  -e SCCACHE_REGION \ 2025-09-07T07:46:50.8498059Z  -e XLA_CUDA \ 2025-09-07T07:46:50.8498257Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-09-07T07:46:50.8498485Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-09-07T07:46:50.8498704Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-09-07T07:46:50.8498931Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-09-07T07:46:50.8499145Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-09-07T07:46:50.8499356Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-09-07T07:46:50.8499562Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-09-07T07:46:50.8499764Z  -e DASHBOARD_TAG \ 2025-09-07T07:46:50.8499949Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-09-07T07:46:50.8500174Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-09-07T07:46:50.8500424Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-09-07T07:46:50.8500678Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-09-07T07:46:50.8500918Z  --security-opt seccomp=unconfined \ 2025-09-07T07:46:50.8501132Z  --cap-add=SYS_PTRACE \ 2025-09-07T07:46:50.8501321Z  --ipc=host \ 2025-09-07T07:46:50.8501487Z  ${SHM_OPTS} \ 2025-09-07T07:46:50.8501650Z  --tty \ 2025-09-07T07:46:50.8501807Z  --detach \ 2025-09-07T07:46:50.8501981Z  --name="${container_name}" \ 2025-09-07T07:46:50.8502170Z  ${JENKINS_USER} \ 2025-09-07T07:46:50.8502393Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-09-07T07:46:50.8502686Z  -w /var/lib/jenkins/workspace \ 2025-09-07T07:46:50.8502976Z  "${DOCKER_IMAGE}" \ 2025-09-07T07:46:50.8503219Z  ${DOCKER_SHELL_CMD} 2025-09-07T07:46:50.8503409Z ) 2025-09-07T07:46:50.8503600Z # Propagate download.pytorch.org IP to container 2025-09-07T07:46:50.8503988Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-09-07T07:46:50.8504398Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-09-07T07:46:50.8504641Z  2025-09-07T07:46:50.8504816Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T07:46:50.8505158Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-09-07T07:46:50.8505459Z fi 2025-09-07T07:46:50.8505592Z  2025-09-07T07:46:50.8505886Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-09-07T07:46:50.8509609Z shell: /usr/bin/bash -e {0} 2025-09-07T07:46:50.8509792Z env: 2025-09-07T07:46:50.8509939Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:50.8510160Z BUILD_ENVIRONMENT: linux-jammy-py3.9-gcc11-build 2025-09-07T07:46:50.8510389Z PR_NUMBER: 2025-09-07T07:46:50.8510557Z GITHUB_REPOSITORY: pytorch/pytorch 2025-09-07T07:46:50.8510774Z GITHUB_WORKFLOW: inductor-perf-nightly-x86 2025-09-07T07:46:50.8510978Z GITHUB_JOB: test 2025-09-07T07:46:50.8511141Z GITHUB_RUN_ID: 17525285611 2025-09-07T07:46:50.8511378Z GITHUB_RUN_NUMBER: 525 2025-09-07T07:46:50.8511546Z GITHUB_RUN_ATTEMPT: 1 2025-09-07T07:46:50.8511714Z JOB_ID: 49775585802 2025-09-07T07:46:50.8512050Z JOB_NAME: inductor-test-nightly-freezing / test (inductor_torchbench_perf_cpu_x86, 1, 4, linux.24xl.spr-metal) 2025-09-07T07:46:50.8512401Z BRANCH: main 2025-09-07T07:46:50.8512639Z SHA1: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:46:50.8512873Z BASE_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:46:50.8513112Z TEST_CONFIG: inductor_torchbench_perf_cpu_x86 2025-09-07T07:46:50.8513326Z SHARD_NUMBER: 1 2025-09-07T07:46:50.8513488Z NUM_TEST_SHARDS: 4 2025-09-07T07:46:50.8513640Z REENABLED_ISSUES: 2025-09-07T07:46:50.8513804Z CONTINUE_THROUGH_ERROR: True 2025-09-07T07:46:50.8513987Z VERBOSE_TEST_LOGS: False 2025-09-07T07:46:50.8514162Z TEST_SHOWLOCALS: False 2025-09-07T07:46:50.8514327Z NO_TEST_TIMEOUT: False 2025-09-07T07:46:50.8514494Z NO_TD: False 2025-09-07T07:46:50.8514648Z TD_DISTRIBUTED: False 2025-09-07T07:46:50.8514857Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-09-07T07:46:50.8515077Z SCCACHE_REGION: us-east-1 2025-09-07T07:46:50.8515248Z SHM_SIZE: 1g 2025-09-07T07:46:50.8515740Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:46:50.8516243Z XLA_CUDA: 2025-09-07T07:46:50.8516474Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-09-07T07:46:50.8516746Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-09-07T07:46:50.8516957Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-09-07T07:46:50.8517407Z DASHBOARD_TAG: training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true 2025-09-07T07:46:50.8517978Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-09-07T07:46:50.8518245Z HUGGING_FACE_HUB_TOKEN: *** 2025-09-07T07:46:50.8518507Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-09-07T07:46:50.8518828Z ARTIFACTS_FILE_SUFFIX: test-inductor_torchbench_perf_cpu_x86-1-4-linux.24xl.spr-metal_49775585802 2025-09-07T07:46:50.8519152Z ##[endgroup] 2025-09-07T07:46:50.8536241Z + [[ inductor_torchbench_perf_cpu_x86 == \m\u\l\t\i\g\p\u ]] 2025-09-07T07:46:50.8536553Z + [[ linux-jammy-py3.9-gcc11-build == *onnx* ]] 2025-09-07T07:46:50.8536821Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T07:46:50.8538726Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-09-07T07:46:50.8553797Z + TOTAL_AVAILABLE_MEMORY_IN_GB='187.488 ' 2025-09-07T07:46:50.8554022Z + TOTAL_MEMORY_WITH_SWAP=190 2025-09-07T07:46:50.8554251Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]] 2025-09-07T07:46:50.8554484Z + SHM_OPTS=--shm-size=1g 2025-09-07T07:46:50.8554672Z + JENKINS_USER='--user jenkins' 2025-09-07T07:46:50.8554856Z + DOCKER_SHELL_CMD= 2025-09-07T07:46:50.8562043Z +++ nproc --ignore=2 2025-09-07T07:46:50.9027283Z ++ 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=94 -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=187g --memory-swap=190g --env-file=/tmp/github_env_17525285611 --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-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:27.2624842Z + container_name=b839bb2a8aa9b60378393da276a0cdef08cf06ae6d882de4bbd4f5d77d016cde 2025-09-07T07:49:27.2626341Z + grep download.pytorch.org /etc/hosts 2025-09-07T07:49:27.2627921Z + docker exec -i b839bb2a8aa9b60378393da276a0cdef08cf06ae6d882de4bbd4f5d77d016cde sudo bash -c '/bin/cat >> /etc/hosts' 2025-09-07T07:49:27.4490125Z + echo DOCKER_CONTAINER_ID=b839bb2a8aa9b60378393da276a0cdef08cf06ae6d882de4bbd4f5d77d016cde 2025-09-07T07:49:27.4490890Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]] 2025-09-07T07:49:27.4493822Z ++ echo dist/torch-2.9.0a0+git93fb23d-cp39-cp39-linux_x86_64.whl 2025-09-07T07:49:27.4495552Z + docker exec -t b839bb2a8aa9b60378393da276a0cdef08cf06ae6d882de4bbd4f5d77d016cde sh -c 'python3 -m pip install dist/torch-2.9.0a0+git93fb23d-cp39-cp39-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-09-07T07:49:27.7567438Z Processing ./dist/torch-2.9.0a0+git93fb23d-cp39-cp39-linux_x86_64.whl (from torch==2.9.0a0+git93fb23d) 2025-09-07T07:49:27.9545295Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.19.1) 2025-09-07T07:49:27.9546059Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (4.15.0) 2025-09-07T07:49:27.9546860Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (1.13.3) 2025-09-07T07:49:27.9548346Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (2.8.8) 2025-09-07T07:49:27.9550649Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.1.6) 2025-09-07T07:49:27.9553602Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (2025.3.0) 2025-09-07T07:49:27.9563339Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.3.0) 2025-09-07T07:49:27.9820240Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from opt-einsum>=3.3->torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (1.22.4) 2025-09-07T07:49:27.9836365Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from sympy>=1.13.3->torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (1.3.0) 2025-09-07T07:49:27.9861145Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from jinja2->torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.0.2) 2025-09-07T07:49:28.6713340Z Installing collected packages: torch 2025-09-07T07:49:35.1089725Z 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. 2025-09-07T07:49:35.1090322Z dall-e 0.1 requires torchvision, which is not installed. 2025-09-07T07:49:35.1090604Z effdet 0.4.1 requires torchvision, which is not installed. 2025-09-07T07:49:35.1090939Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-09-07T07:49:35.1091385Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-09-07T07:49:35.1091835Z timm 1.0.14 requires torchvision, which is not installed. 2025-09-07T07:49:35.1092166Z Successfully installed torch-2.9.0a0+git93fb23d 2025-09-07T07:49:35.1979914Z + export TERM=vt100 2025-09-07T07:49:35.1981037Z + TERM=vt100 2025-09-07T07:49:35.1981269Z ++ dirname .ci/pytorch/test.sh 2025-09-07T07:49:35.1983893Z + source .ci/pytorch/common.sh 2025-09-07T07:49:35.1986994Z +++ dirname .ci/pytorch/common.sh 2025-09-07T07:49:35.1992116Z ++ source .ci/pytorch/common_utils.sh 2025-09-07T07:49:35.1992950Z +++ declare -f -t trap_add 2025-09-07T07:49:35.1996339Z ++ set -ex -o pipefail 2025-09-07T07:49:35.1996555Z ++ [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-09-07T07:49:35.1996790Z ++ BUILD_TEST_LIBTORCH=0 2025-09-07T07:49:35.2000158Z ++ dirname .ci/pytorch/test.sh 2025-09-07T07:49:35.2005515Z + source .ci/pytorch/common-build.sh 2025-09-07T07:49:35.2006535Z ++ [[ linux-jammy-py3.9-gcc11-build != *win-* ]] 2025-09-07T07:49:35.2013928Z ++++ dirname .ci/pytorch/common-build.sh 2025-09-07T07:49:35.2019440Z +++ cd .ci/pytorch 2025-09-07T07:49:35.2019999Z +++ pwd -P 2025-09-07T07:49:35.2021299Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-09-07T07:49:35.2021659Z ++ [[ linux-jammy-py3.9-gcc11-build == *-pch* ]] 2025-09-07T07:49:35.2021945Z ++ which sccache 2025-09-07T07:49:35.2038489Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-09-07T07:49:35.2038722Z ++ sccache --stop-server 2025-09-07T07:49:35.2061654Z ++ true 2025-09-07T07:49:35.2061823Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-09-07T07:49:35.2067320Z ++ trap_add sccache_epilogue EXIT 2025-09-07T07:49:35.2067546Z ++ trap_add_cmd=sccache_epilogue 2025-09-07T07:49:35.2067753Z ++ shift 2025-09-07T07:49:35.2067913Z ++ for trap_add_name in "$@" 2025-09-07T07:49:35.2071650Z ++++ trap -p EXIT 2025-09-07T07:49:35.2073566Z +++ eval 'extract_trap_cmd ' 2025-09-07T07:49:35.2073758Z ++++ extract_trap_cmd 2025-09-07T07:49:35.2073937Z ++++ printf '%s\n' '' 2025-09-07T07:49:35.2074112Z +++ printf '%s\n' sccache_epilogue 2025-09-07T07:49:35.2074473Z ++ trap -- ' 2025-09-07T07:49:35.2074644Z sccache_epilogue' EXIT 2025-09-07T07:49:35.2074825Z ++ [[ -n 1 ]] 2025-09-07T07:49:35.2075080Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-09-07T07:49:35.2077992Z Skipping sccache server initialization, setting environment variables 2025-09-07T07:49:35.2078333Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-09-07T07:49:35.2078556Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-09-07T07:49:35.2078806Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T07:49:35.2079156Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T07:49:35.2079467Z ++ export RUST_LOG=sccache::server=error 2025-09-07T07:49:35.2079702Z ++ RUST_LOG=sccache::server=error 2025-09-07T07:49:35.2079910Z ++ sccache --zero-stats 2025-09-07T07:49:35.3238903Z Statistics zeroed. 2025-09-07T07:49:35.3244074Z ++ which ccache 2025-09-07T07:49:35.3266871Z + [[ linux-jammy-py3.9-gcc11-build != *rocm* ]] 2025-09-07T07:49:35.3267166Z + [[ linux-jammy-py3.9-gcc11-build != *s390x* ]] 2025-09-07T07:49:35.3267439Z + [[ -d /var/lib/jenkins/workspace ]] 2025-09-07T07:49:35.3269523Z ++ stat -c %u /var/lib/jenkins/workspace 2025-09-07T07:49:35.3278032Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-09-07T07:49:35.3278291Z + trap_add cleanup_workspace EXIT 2025-09-07T07:49:35.3278532Z + trap_add_cmd=cleanup_workspace 2025-09-07T07:49:35.3278747Z + shift 2025-09-07T07:49:35.3278916Z + for trap_add_name in "$@" 2025-09-07T07:49:35.3284056Z +++ trap -p EXIT 2025-09-07T07:49:35.3285703Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-09-07T07:49:35.3285941Z sccache_epilogue'\'' EXIT' 2025-09-07T07:49:35.3286152Z +++ extract_trap_cmd trap -- ' 2025-09-07T07:49:35.3286360Z sccache_epilogue' EXIT 2025-09-07T07:49:35.3286550Z +++ printf '%s\n' ' 2025-09-07T07:49:35.3286734Z sccache_epilogue' 2025-09-07T07:49:35.3286923Z ++ printf '%s\n' cleanup_workspace 2025-09-07T07:49:35.3287673Z + trap -- ' 2025-09-07T07:49:35.3287839Z sccache_epilogue 2025-09-07T07:49:35.3288029Z cleanup_workspace' EXIT 2025-09-07T07:49:35.3288261Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-09-07T07:49:35.7246298Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-09-07T07:49:35.7254712Z + echo 'Environment variables:' 2025-09-07T07:49:35.7255212Z Environment variables: 2025-09-07T07:49:35.7255401Z + env 2025-09-07T07:49:35.7263049Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:49:35.7263407Z CONTINUE_THROUGH_ERROR=True 2025-09-07T07:49:35.7263753Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build 2025-09-07T07:49:35.7264593Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T07:49:35.7264882Z HOSTNAME=b839bb2a8aa9 2025-09-07T07:49:35.7265326Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_82f969d1-5eeb-4ad4-928c-a970a1ccab08 2025-09-07T07:49:35.7265690Z GITHUB_ACTION=__run_2 2025-09-07T07:49:35.7265870Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T07:49:35.7266063Z GITHUB_RUN_NUMBER=525 2025-09-07T07:49:35.7266244Z TEST_CONFIG=inductor_torchbench_perf_cpu_x86 2025-09-07T07:49:35.7266467Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T07:49:35.7266686Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T07:49:35.7266889Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T07:49:35.7267159Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T07:49:35.7267355Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T07:49:35.7267556Z GITHUB_REF_TYPE=branch 2025-09-07T07:49:35.7267754Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:35.7267968Z XLA_CUDA= 2025-09-07T07:49:35.7268124Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T07:49:35.7268384Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T07:49:35.7270332Z *** 2025-09-07T07:49:35.7270499Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T07:49:35.7270680Z GITHUB_ACTIONS=true 2025-09-07T07:49:35.7270885Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T07:49:35.7271130Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:35.7271366Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:35.7271749Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly-x86.yml@refs/heads/main 2025-09-07T07:49:35.7272103Z UCC_HOME=/usr 2025-09-07T07:49:35.7272260Z VERBOSE_TEST_LOGS=False 2025-09-07T07:49:35.7272446Z GITHUB_REF=refs/heads/main 2025-09-07T07:49:35.7272611Z SHARD_NUMBER=1 2025-09-07T07:49:35.7272769Z GITHUB_REF_PROTECTED=true 2025-09-07T07:49:35.7272944Z HOME=/var/lib/jenkins 2025-09-07T07:49:35.7273140Z GITHUB_API_URL=https://api.github.com 2025-09-07T07:49:35.7273344Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T07:49:35.7273537Z UCX_COMMIT= 2025-09-07T07:49:35.7273681Z USE_SYSTEM_NCCL=1 2025-09-07T07:49:35.7273837Z NUM_TEST_SHARDS=4 2025-09-07T07:49:35.7273983Z UCX_HOME=/usr 2025-09-07T07:49:35.7274321Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_82f969d1-5eeb-4ad4-928c-a970a1ccab08 2025-09-07T07:49:35.7274859Z JOB_NAME=inductor-test-nightly-freezing / test (inductor_torchbench_perf_cpu_x86, 1, 4, linux.24xl.spr-metal) 2025-09-07T07:49:35.7275387Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_82f969d1-5eeb-4ad4-928c-a970a1ccab08 2025-09-07T07:49:35.7275844Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-09-07T07:49:35.7276139Z GITHUB_EVENT_NAME=schedule 2025-09-07T07:49:35.7276581Z DASHBOARD_TAG=training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true 2025-09-07T07:49:35.7277031Z GITHUB_RUN_ID=17525285611 2025-09-07T07:49:35.7277212Z INSTALLED_OPENBLAS= 2025-09-07T07:49:35.7277571Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_82f969d1-5eeb-4ad4-928c-a970a1ccab08 2025-09-07T07:49:35.7277963Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T07:49:35.7278143Z PR_NUMBER= 2025-09-07T07:49:35.7278290Z DESIRED_CUDA= 2025-09-07T07:49:35.7278432Z GITHUB_RUN_ATTEMPT=1 2025-09-07T07:49:35.7278608Z ANACONDA_PYTHON_VERSION=3.9 2025-09-07T07:49:35.7278820Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T07:49:35.7279034Z TERM=vt100 2025-09-07T07:49:35.7279172Z INSTALLED_VISION=yes 2025-09-07T07:49:35.7279330Z BRANCH=main 2025-09-07T07:49:35.7279480Z SCCACHE_REGION=us-east-1 2025-09-07T07:49:35.7279765Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T07:49:35.7279941Z CUDA_PATH=/usr/local/cuda 2025-09-07T07:49:35.7280254Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T07:49:35.7280597Z GITHUB_SERVER_URL=https://github.com 2025-09-07T07:49:35.7280851Z UCC_COMMIT= 2025-09-07T07:49:35.7280992Z REENABLED_ISSUES= 2025-09-07T07:49:35.7281151Z DOCS=yes 2025-09-07T07:49:35.7281298Z SHLVL=1 2025-09-07T07:49:35.7281441Z MAX_JOBS=94 2025-09-07T07:49:35.7281582Z GITHUB_ACTOR_ID=97764156 2025-09-07T07:49:35.7281803Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:35.7282038Z GITHUB_REF_NAME=main 2025-09-07T07:49:35.7282281Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T07:49:35.7282531Z GITHUB_JOB=test 2025-09-07T07:49:35.7282691Z NO_TEST_TIMEOUT=False 2025-09-07T07:49:35.7282856Z TD_DISTRIBUTED=False 2025-09-07T07:49:35.7283030Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T07:49:35.7283224Z GITHUB_RETENTION_DAYS=90 2025-09-07T07:49:35.7283396Z OPENSSL_DIR=/opt/openssl 2025-09-07T07:49:35.7283571Z GITHUB_ACTION_REPOSITORY= 2025-09-07T07:49:35.7284026Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T07:49:35.7284469Z GITHUB_BASE_REF= 2025-09-07T07:49:35.7284625Z INSTALLED_ACL= 2025-09-07T07:49:35.7284914Z ARTIFACTS_FILE_SUFFIX=test-inductor_torchbench_perf_cpu_x86-1-4-linux.24xl.spr-metal_49775585802 2025-09-07T07:49:35.7285226Z CI=true 2025-09-07T07:49:35.7285370Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T07:49:35.7285608Z RUST_LOG=sccache::server=error 2025-09-07T07:49:35.7285789Z JOB_ID=49775585802 2025-09-07T07:49:35.7285942Z GITHUB_HEAD_REF= 2025-09-07T07:49:35.7286089Z GITHUB_ACTION_REF= 2025-09-07T07:49:35.7286282Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T07:49:35.7286503Z TEST_SHOWLOCALS=False 2025-09-07T07:49:35.7286693Z GITHUB_WORKFLOW=inductor-perf-nightly-x86 2025-09-07T07:49:35.7286900Z DEBIAN_FRONTEND=noninteractive 2025-09-07T07:49:35.7287268Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_82f969d1-5eeb-4ad4-928c-a970a1ccab08 2025-09-07T07:49:35.7287631Z NO_TD=False 2025-09-07T07:49:35.7287791Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T07:49:35.7287982Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T07:49:35.7288178Z _=/usr/bin/env 2025-09-07T07:49:35.7288392Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-09-07T07:49:35.7505177Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch 2025-09-07T07:49:35.7514226Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/bin 2025-09-07T07:49:35.7514599Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib 2025-09-07T07:49:35.7514939Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/test 2025-09-07T07:49:35.7515247Z + BUILD_DIR=build 2025-09-07T07:49:35.7515428Z + BUILD_RENAMED_DIR=build_renamed 2025-09-07T07:49:35.7515627Z + BUILD_BIN_DIR=build/bin 2025-09-07T07:49:35.7515803Z + SHARD_NUMBER=1 2025-09-07T07:49:35.7515957Z + NUM_TEST_SHARDS=4 2025-09-07T07:49:35.7516136Z + export TORCH_SERIALIZATION_DEBUG=1 2025-09-07T07:49:35.7516348Z + TORCH_SERIALIZATION_DEBUG=1 2025-09-07T07:49:35.7516527Z + export VALGRIND=ON 2025-09-07T07:49:35.7516693Z + VALGRIND=ON 2025-09-07T07:49:35.7516886Z + [[ linux-jammy-py3.9-gcc11-build == *clang9* ]] 2025-09-07T07:49:35.7517135Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-09-07T07:49:35.7517338Z + detect_cuda_arch 2025-09-07T07:49:35.7517528Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-09-07T07:49:35.7517768Z + [[ linux-jammy-py3.9-gcc11-build == *s390x* ]] 2025-09-07T07:49:35.7517978Z + [[ 0 == \1 ]] 2025-09-07T07:49:35.7518125Z + [[ True == \1 ]] 2025-09-07T07:49:35.7518308Z + [[ linux-jammy-py3.9-gcc11-build != *bazel* ]] 2025-09-07T07:49:35.7518534Z ++ realpath build/custom_test_artifacts 2025-09-07T07:49:35.7519053Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-09-07T07:49:35.7519360Z + [[ -n '' ]] 2025-09-07T07:49:35.7519522Z + echo 'Environment variables' 2025-09-07T07:49:35.7519716Z Environment variables 2025-09-07T07:49:35.7519886Z + env 2025-09-07T07:49:35.7533922Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:49:35.7534188Z CONTINUE_THROUGH_ERROR=True 2025-09-07T07:49:35.7534445Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build 2025-09-07T07:49:35.7534858Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T07:49:35.7535053Z HOSTNAME=b839bb2a8aa9 2025-09-07T07:49:35.7535422Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_82f969d1-5eeb-4ad4-928c-a970a1ccab08 2025-09-07T07:49:35.7535860Z GITHUB_ACTION=__run_2 2025-09-07T07:49:35.7536038Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T07:49:35.7536236Z GITHUB_RUN_NUMBER=525 2025-09-07T07:49:35.7536426Z TEST_CONFIG=inductor_torchbench_perf_cpu_x86 2025-09-07T07:49:35.7536655Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T07:49:35.7536868Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T07:49:35.7537078Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T07:49:35.7537331Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T07:49:35.7537537Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T07:49:35.7537733Z GITHUB_REF_TYPE=branch 2025-09-07T07:49:35.7537931Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:35.7538140Z XLA_CUDA= 2025-09-07T07:49:35.7538298Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T07:49:35.7538700Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T07:49:35.7538912Z *** 2025-09-07T07:49:35.7539067Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T07:49:35.7539255Z GITHUB_ACTIONS=true 2025-09-07T07:49:35.7539455Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T07:49:35.7539695Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:35.7539940Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:35.7540345Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly-x86.yml@refs/heads/main 2025-09-07T07:49:35.7540708Z UCC_HOME=/usr 2025-09-07T07:49:35.7540863Z TORCH_SERIALIZATION_DEBUG=1 2025-09-07T07:49:35.7541051Z VERBOSE_TEST_LOGS=False 2025-09-07T07:49:35.7541228Z GITHUB_REF=refs/heads/main 2025-09-07T07:49:35.7541406Z SHARD_NUMBER=1 2025-09-07T07:49:35.7541565Z GITHUB_REF_PROTECTED=true 2025-09-07T07:49:35.7541744Z HOME=/var/lib/jenkins 2025-09-07T07:49:35.7541937Z GITHUB_API_URL=https://api.github.com 2025-09-07T07:49:35.7542154Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T07:49:35.7542339Z UCX_COMMIT= 2025-09-07T07:49:35.7542490Z USE_SYSTEM_NCCL=1 2025-09-07T07:49:35.7542652Z NUM_TEST_SHARDS=4 2025-09-07T07:49:35.7542808Z UCX_HOME=/usr 2025-09-07T07:49:35.7543145Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_82f969d1-5eeb-4ad4-928c-a970a1ccab08 2025-09-07T07:49:35.7543702Z JOB_NAME=inductor-test-nightly-freezing / test (inductor_torchbench_perf_cpu_x86, 1, 4, linux.24xl.spr-metal) 2025-09-07T07:49:35.7544241Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_82f969d1-5eeb-4ad4-928c-a970a1ccab08 2025-09-07T07:49:35.7544716Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-09-07T07:49:35.7545021Z GITHUB_EVENT_NAME=schedule 2025-09-07T07:49:35.7545480Z DASHBOARD_TAG=training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true 2025-09-07T07:49:35.7545949Z GITHUB_RUN_ID=17525285611 2025-09-07T07:49:35.7546125Z INSTALLED_OPENBLAS= 2025-09-07T07:49:35.7546530Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_82f969d1-5eeb-4ad4-928c-a970a1ccab08 2025-09-07T07:49:35.7546938Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T07:49:35.7547117Z PR_NUMBER= 2025-09-07T07:49:35.7547268Z DESIRED_CUDA= 2025-09-07T07:49:35.7547426Z GITHUB_RUN_ATTEMPT=1 2025-09-07T07:49:35.7547633Z VALGRIND=ON 2025-09-07T07:49:35.7547793Z ANACONDA_PYTHON_VERSION=3.9 2025-09-07T07:49:35.7548013Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T07:49:35.7548240Z TERM=vt100 2025-09-07T07:49:35.7548384Z INSTALLED_VISION=yes 2025-09-07T07:49:35.7548550Z BRANCH=main 2025-09-07T07:49:35.7548704Z SCCACHE_REGION=us-east-1 2025-09-07T07:49:35.7548950Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T07:49:35.7549135Z CUDA_PATH=/usr/local/cuda 2025-09-07T07:49:35.7549454Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T07:49:35.7549800Z GITHUB_SERVER_URL=https://github.com 2025-09-07T07:49:35.7549997Z UCC_COMMIT= 2025-09-07T07:49:35.7550136Z REENABLED_ISSUES= 2025-09-07T07:49:35.7550293Z DOCS=yes 2025-09-07T07:49:35.7550434Z SHLVL=1 2025-09-07T07:49:35.7550575Z MAX_JOBS=94 2025-09-07T07:49:35.7550721Z GITHUB_ACTOR_ID=97764156 2025-09-07T07:49:35.7550951Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:35.7551198Z GITHUB_REF_NAME=main 2025-09-07T07:49:35.7551450Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T07:49:35.7551707Z GITHUB_JOB=test 2025-09-07T07:49:35.7551867Z NO_TEST_TIMEOUT=False 2025-09-07T07:49:35.7552034Z TD_DISTRIBUTED=False 2025-09-07T07:49:35.7552213Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T07:49:35.7552409Z GITHUB_RETENTION_DAYS=90 2025-09-07T07:49:35.7552590Z OPENSSL_DIR=/opt/openssl 2025-09-07T07:49:35.7552768Z GITHUB_ACTION_REPOSITORY= 2025-09-07T07:49:35.7553227Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T07:49:35.7553678Z GITHUB_BASE_REF= 2025-09-07T07:49:35.7553835Z INSTALLED_ACL= 2025-09-07T07:49:35.7554129Z ARTIFACTS_FILE_SUFFIX=test-inductor_torchbench_perf_cpu_x86-1-4-linux.24xl.spr-metal_49775585802 2025-09-07T07:49:35.7554455Z CI=true 2025-09-07T07:49:35.7554605Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T07:49:35.7554825Z RUST_LOG=sccache::server=error 2025-09-07T07:49:35.7555008Z JOB_ID=49775585802 2025-09-07T07:49:35.7555167Z GITHUB_HEAD_REF= 2025-09-07T07:49:35.7555318Z GITHUB_ACTION_REF= 2025-09-07T07:49:35.7555519Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T07:49:35.7555747Z TEST_SHOWLOCALS=False 2025-09-07T07:49:35.7555945Z GITHUB_WORKFLOW=inductor-perf-nightly-x86 2025-09-07T07:49:35.7556162Z DEBIAN_FRONTEND=noninteractive 2025-09-07T07:49:35.7556544Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_82f969d1-5eeb-4ad4-928c-a970a1ccab08 2025-09-07T07:49:35.7557015Z NO_TD=False 2025-09-07T07:49:35.7557184Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T07:49:35.7557385Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T07:49:35.7557598Z _=/usr/bin/env 2025-09-07T07:49:35.7557788Z + echo 'Testing pytorch' 2025-09-07T07:49:35.7557985Z Testing pytorch 2025-09-07T07:49:35.7558159Z + export LANG=C.UTF-8 2025-09-07T07:49:35.7558319Z + LANG=C.UTF-8 2025-09-07T07:49:35.7558476Z + PR_NUMBER= 2025-09-07T07:49:35.7558680Z + [[ inductor_torchbench_perf_cpu_x86 == \d\e\f\a\u\l\t ]] 2025-09-07T07:49:35.7558971Z + [[ inductor_torchbench_perf_cpu_x86 == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-09-07T07:49:35.7559248Z + [[ inductor_torchbench_perf_cpu_x86 == \s\l\o\w ]] 2025-09-07T07:49:35.7559520Z + [[ linux-jammy-py3.9-gcc11-build == *slow-gradcheck* ]] 2025-09-07T07:49:35.7559783Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-09-07T07:49:35.7560024Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-09-07T07:49:35.7560257Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-09-07T07:49:35.7560509Z + [[ inductor_torchbench_perf_cpu_x86 == *crossref* ]] 2025-09-07T07:49:35.7560751Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-09-07T07:49:35.7560985Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-09-07T07:49:35.7561217Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]] 2025-09-07T07:49:35.7561441Z + pip_install ninja==1.10.2 2025-09-07T07:49:35.7561683Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-09-07T07:49:35.7562044Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-09-07T07:49:36.0464643Z Collecting ninja==1.10.2 2025-09-07T07:49:36.0691587Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-09-07T07:49:36.0804919Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-09-07T07:49:36.7589886Z Installing collected packages: ninja 2025-09-07T07:49:36.7590210Z Attempting uninstall: ninja 2025-09-07T07:49:36.7590465Z Found existing installation: ninja 1.11.1.3 2025-09-07T07:49:36.7605191Z Uninstalling ninja-1.11.1.3: 2025-09-07T07:49:36.7647136Z Successfully uninstalled ninja-1.11.1.3 2025-09-07T07:49:36.8032919Z Successfully installed ninja-1.10.2 2025-09-07T07:49:36.8807061Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T07:49:36.8808024Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T07:49:36.8808595Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]] 2025-09-07T07:49:36.8808850Z + [[ linux-jammy-py3.9-gcc11-build == *asan* ]] 2025-09-07T07:49:36.8809096Z + [[ linux-jammy-py3.9-gcc11-build == *-debug* ]] 2025-09-07T07:49:36.8809330Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]] 2025-09-07T07:49:36.8809656Z + echo 'We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass' 2025-09-07T07:49:36.8810047Z We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass 2025-09-07T07:49:36.8810319Z + cd test 2025-09-07T07:49:36.8810535Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-09-07T07:49:37.1651537Z /opt/conda/envs/py_3.9/lib/python3.9/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. 2025-09-07T07:49:37.1653149Z import pynvml # type: ignore[import] 2025-09-07T07:49:37.8993703Z + [[ inductor_torchbench_perf_cpu_x86 == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-09-07T07:49:37.8994140Z + [[ inductor_torchbench_perf_cpu_x86 == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-09-07T07:49:37.8994537Z + [[ inductor_torchbench_perf_cpu_x86 == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-09-07T07:49:37.8995485Z + DYNAMO_BENCHMARK_FLAGS=() 2025-09-07T07:49:37.8996198Z + [[ inductor_torchbench_perf_cpu_x86 == *pr_time_benchmarks* ]] 2025-09-07T07:49:37.8996598Z + [[ inductor_torchbench_perf_cpu_x86 == *dynamo_eager* ]] 2025-09-07T07:49:37.8996913Z + [[ inductor_torchbench_perf_cpu_x86 == *aot_eager* ]] 2025-09-07T07:49:37.8997243Z + [[ inductor_torchbench_perf_cpu_x86 == *aot_inductor* ]] 2025-09-07T07:49:37.8997613Z + [[ inductor_torchbench_perf_cpu_x86 == *max_autotune_inductor* ]] 2025-09-07T07:49:37.8997948Z + [[ inductor_torchbench_perf_cpu_x86 == *inductor* ]] 2025-09-07T07:49:37.8998237Z + [[ inductor_torchbench_perf_cpu_x86 != *perf* ]] 2025-09-07T07:49:37.8998528Z + [[ inductor_torchbench_perf_cpu_x86 == *dynamic* ]] 2025-09-07T07:49:37.8998811Z + [[ inductor_torchbench_perf_cpu_x86 == *cpu* ]] 2025-09-07T07:49:37.8999094Z + DYNAMO_BENCHMARK_FLAGS+=(--device cpu) 2025-09-07T07:49:37.9020176Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]] 2025-09-07T07:49:37.9020450Z + [[ linux-jammy-py3.9-gcc11-build == *-bazel-* ]] 2025-09-07T07:49:37.9022908Z + cd test 2025-09-07T07:49:37.9023646Z + python -c 'import torch; print(torch.__config__.show())' 2025-09-07T07:49:38.1831224Z /opt/conda/envs/py_3.9/lib/python3.9/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. 2025-09-07T07:49:38.1833174Z import pynvml # type: ignore[import] 2025-09-07T07:49:38.7595647Z PyTorch built with: 2025-09-07T07:49:38.7595888Z - GCC 11.4 2025-09-07T07:49:38.7596064Z - C++ Version: 201703 2025-09-07T07:49:38.7596770Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T07:49:38.7597220Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T07:49:38.7597508Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T07:49:38.7597733Z - LAPACK is enabled (usually provided by MKL) 2025-09-07T07:49:38.7597946Z - NNPACK is enabled 2025-09-07T07:49:38.7598131Z - CPU capability usage: AVX512 2025-09-07T07:49:38.7600768Z - Build settings: BLAS_INFO=mkl, 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_FBGEMM -DUSE_PYTORCH_QNNPACK -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=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.9.0, USE_CUDA=OFF, USE_CUDNN=OFF, USE_CUSPARSELT=OFF, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, 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, 2025-09-07T07:49:38.7603416Z 2025-09-07T07:49:38.9229031Z + cd test 2025-09-07T07:49:38.9229332Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-09-07T07:49:39.1955782Z /opt/conda/envs/py_3.9/lib/python3.9/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. 2025-09-07T07:49:39.1957246Z import pynvml # type: ignore[import] 2025-09-07T07:49:39.7699189Z ATen/Parallel: 2025-09-07T07:49:39.7699456Z at::get_num_threads() : 48 2025-09-07T07:49:39.7699660Z at::get_num_interop_threads() : 48 2025-09-07T07:49:39.7699871Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T07:49:39.7700066Z omp_get_max_threads() : 48 2025-09-07T07:49:39.7700400Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T07:49:39.7700744Z mkl_get_max_threads() : 48 2025-09-07T07:49:39.7701026Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T07:49:39.7701298Z std::thread::hardware_concurrency() : 96 2025-09-07T07:49:39.7701496Z Environment variables: 2025-09-07T07:49:39.7701672Z OMP_NUM_THREADS : [not set] 2025-09-07T07:49:39.7701854Z MKL_NUM_THREADS : [not set] 2025-09-07T07:49:39.7702054Z ATen parallel backend: OpenMP 2025-09-07T07:49:39.7702170Z 2025-09-07T07:49:39.9314540Z + [[ inductor_torchbench_perf_cpu_x86 == *numpy_2* ]] 2025-09-07T07:49:39.9314888Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]] 2025-09-07T07:49:39.9315181Z + [[ inductor_torchbench_perf_cpu_x86 == *backward* ]] 2025-09-07T07:49:39.9315473Z + [[ inductor_torchbench_perf_cpu_x86 == *xla* ]] 2025-09-07T07:49:39.9315746Z + [[ inductor_torchbench_perf_cpu_x86 == *vllm* ]] 2025-09-07T07:49:39.9316037Z + [[ inductor_torchbench_perf_cpu_x86 == *executorch* ]] 2025-09-07T07:49:39.9316354Z + [[ inductor_torchbench_perf_cpu_x86 == \j\i\t\_\l\e\g\a\c\y ]] 2025-09-07T07:49:39.9316860Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]] 2025-09-07T07:49:39.9317158Z + [[ inductor_torchbench_perf_cpu_x86 == distributed ]] 2025-09-07T07:49:39.9317484Z + [[ inductor_torchbench_perf_cpu_x86 == *operator_benchmark* ]] 2025-09-07T07:49:39.9317839Z + [[ inductor_torchbench_perf_cpu_x86 == *inductor_distributed* ]] 2025-09-07T07:49:39.9318285Z + [[ inductor_torchbench_perf_cpu_x86 == *inductor-halide* ]] 2025-09-07T07:49:39.9318625Z + [[ inductor_torchbench_perf_cpu_x86 == *inductor-triton-cpu* ]] 2025-09-07T07:49:39.9318989Z + [[ inductor_torchbench_perf_cpu_x86 == *inductor-micro-benchmark* ]] 2025-09-07T07:49:39.9319331Z + [[ inductor_torchbench_perf_cpu_x86 == *huggingface* ]] 2025-09-07T07:49:39.9319602Z + [[ inductor_torchbench_perf_cpu_x86 == *timm* ]] 2025-09-07T07:49:39.9319872Z + [[ inductor_torchbench_perf_cpu_x86 == cachebench ]] 2025-09-07T07:49:39.9320174Z + [[ inductor_torchbench_perf_cpu_x86 == verify_cachebench ]] 2025-09-07T07:49:39.9320488Z + [[ inductor_torchbench_perf_cpu_x86 == *torchbench* ]] 2025-09-07T07:49:39.9320747Z + install_torchaudio 2025-09-07T07:49:39.9320938Z + local commit 2025-09-07T07:49:39.9321137Z ++ get_pinned_commit audio 2025-09-07T07:49:39.9321358Z ++ cat .github/ci_commit_pins/audio.txt 2025-09-07T07:49:39.9914303Z + commit=2e300559e4e123928a22187b8f59a5b56f57ddc8 2025-09-07T07:49:39.9914867Z + pip_build_and_install git+https://github.com/pytorch/audio.git@2e300559e4e123928a22187b8f59a5b56f57ddc8 dist/audio 2025-09-07T07:49:39.9915460Z + local build_target=git+https://github.com/pytorch/audio.git@2e300559e4e123928a22187b8f59a5b56f57ddc8 2025-09-07T07:49:39.9915862Z + local wheel_dir=dist/audio 2025-09-07T07:49:39.9916070Z + local found_whl=0 2025-09-07T07:49:39.9916277Z + for file in "${wheel_dir}"/*.whl 2025-09-07T07:49:39.9916624Z + [[ -f dist/audio/torchaudio-2.8.0a0+2e30055-cp39-cp39-linux_x86_64.whl ]] 2025-09-07T07:49:39.9916945Z + found_whl=1 2025-09-07T07:49:39.9917140Z + break 2025-09-07T07:49:39.9917302Z + '[' 1 == 0 ']' 2025-09-07T07:49:39.9917491Z + for file in "${wheel_dir}"/*.whl 2025-09-07T07:49:39.9917842Z + pip_install_whl dist/audio/torchaudio-2.8.0a0+2e30055-cp39-cp39-linux_x86_64.whl 2025-09-07T07:49:39.9918289Z + args=('dist/audio/torchaudio-2.8.0a0+2e30055-cp39-cp39-linux_x86_64.whl') 2025-09-07T07:49:39.9918596Z + local args 2025-09-07T07:49:39.9918881Z + [[ dist/audio/torchaudio-2.8.0a0+2e30055-cp39-cp39-linux_x86_64.whl == *\ * ]] 2025-09-07T07:49:39.9919220Z + for path in "${args[@]}" 2025-09-07T07:49:39.9919550Z + echo 'Installing dist/audio/torchaudio-2.8.0a0+2e30055-cp39-cp39-linux_x86_64.whl' 2025-09-07T07:49:39.9920004Z Installing dist/audio/torchaudio-2.8.0a0+2e30055-cp39-cp39-linux_x86_64.whl 2025-09-07T07:49:39.9920519Z + python3 -mpip install --no-index --no-deps dist/audio/torchaudio-2.8.0a0+2e30055-cp39-cp39-linux_x86_64.whl 2025-09-07T07:49:40.2488534Z Processing ./dist/audio/torchaudio-2.8.0a0+2e30055-cp39-cp39-linux_x86_64.whl 2025-09-07T07:49:40.2527072Z Installing collected packages: torchaudio 2025-09-07T07:49:41.0348735Z Successfully installed torchaudio-2.8.0a0+2e30055 2025-09-07T07:49:41.0663450Z + install_torchvision 2025-09-07T07:49:41.0663667Z + local orig_preload 2025-09-07T07:49:41.0663836Z + local commit 2025-09-07T07:49:41.0663995Z ++ get_pinned_commit vision 2025-09-07T07:49:41.0664190Z ++ cat .github/ci_commit_pins/vision.txt 2025-09-07T07:49:41.0667885Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T07:49:41.0668107Z + orig_preload= 2025-09-07T07:49:41.0668266Z + '[' -n '' ']' 2025-09-07T07:49:41.0668452Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-09-07T07:49:41.0668873Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-09-07T07:49:41.0669388Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T07:49:41.0669730Z + local wheel_dir=dist/vision 2025-09-07T07:49:41.0669915Z + local found_whl=0 2025-09-07T07:49:41.0670103Z + for file in "${wheel_dir}"/*.whl 2025-09-07T07:49:41.0670618Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl ]] 2025-09-07T07:49:41.0670899Z + found_whl=1 2025-09-07T07:49:41.0671050Z + break 2025-09-07T07:49:41.0671191Z + '[' 1 == 0 ']' 2025-09-07T07:49:41.0671349Z + for file in "${wheel_dir}"/*.whl 2025-09-07T07:49:41.0671735Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-09-07T07:49:41.0672131Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl') 2025-09-07T07:49:41.0672406Z + local args 2025-09-07T07:49:41.0672654Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl == *\ * ]] 2025-09-07T07:49:41.0672952Z + for path in "${args[@]}" 2025-09-07T07:49:41.0673245Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl' 2025-09-07T07:49:41.0673644Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-09-07T07:49:41.0674091Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-09-07T07:49:41.3134709Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-09-07T07:49:41.3194764Z Installing collected packages: torchvision 2025-09-07T07:49:41.8418519Z Successfully installed torchvision-0.22.0a0+966da7e 2025-09-07T07:49:41.8712783Z + '[' -n '' ']' 2025-09-07T07:49:41.8713084Z + id=0 2025-09-07T07:49:41.8713348Z + pip_install opencv-python==4.8.0.74 2025-09-07T07:49:41.8713697Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-09-07T07:49:41.8714073Z + python3 -m pip install --progress-bar off opencv-python==4.8.0.74 2025-09-07T07:49:42.3047756Z Collecting opencv-python==4.8.0.74 2025-09-07T07:49:42.3125491Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB) 2025-09-07T07:49:42.3816288Z Requirement already satisfied: numpy>=1.17.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from opencv-python==4.8.0.74) (1.22.4) 2025-09-07T07:49:42.3867804Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (61.7 MB) 2025-09-07T07:49:43.5750646Z Installing collected packages: opencv-python 2025-09-07T07:49:43.5750948Z Attempting uninstall: opencv-python 2025-09-07T07:49:43.5751499Z Found existing installation: opencv-python 4.11.0.86 2025-09-07T07:49:43.5805536Z Uninstalling opencv-python-4.11.0.86: 2025-09-07T07:49:43.6574447Z Successfully uninstalled opencv-python-4.11.0.86 2025-09-07T07:49:44.4153577Z Successfully installed opencv-python-4.8.0.74 2025-09-07T07:49:44.5040569Z + [[ inductor_torchbench_perf_cpu_x86 == *inductor_torchbench_smoketest_perf* ]] 2025-09-07T07:49:44.5040957Z + [[ inductor_torchbench_perf_cpu_x86 == *inductor_torchbench_cpu_smoketest_perf* ]] 2025-09-07T07:49:44.5041383Z + [[ inductor_torchbench_perf_cpu_x86 == *torchbench_gcp_smoketest* ]] 2025-09-07T07:49:44.5041668Z + [[ inductor_torchbench_perf_cpu_x86 != *cpu* ]] 2025-09-07T07:49:44.5041954Z + PYTHONPATH=/torchbench 2025-09-07T07:49:44.5042151Z + test_dynamo_benchmark torchbench 0 2025-09-07T07:49:44.5042337Z ++ pwd 2025-09-07T07:49:44.5042549Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:49:44.5042794Z + local suite=torchbench 2025-09-07T07:49:44.5042956Z + shift 2025-09-07T07:49:44.5043106Z + local shard_id=0 2025-09-07T07:49:44.5043261Z + shift 2025-09-07T07:49:44.5043442Z + [[ inductor_torchbench_perf_cpu_x86 == *perf_compare* ]] 2025-09-07T07:49:44.5043691Z + [[ inductor_torchbench_perf_cpu_x86 == *perf* ]] 2025-09-07T07:49:44.5043911Z + [[ inductor_torchbench_perf_cpu_x86 == *b200* ]] 2025-09-07T07:49:44.5044146Z + test_single_dynamo_benchmark dashboard torchbench 0 2025-09-07T07:49:44.5044359Z ++ pwd 2025-09-07T07:49:44.5045507Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:49:44.5045785Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:49:44.5060112Z + local name=dashboard 2025-09-07T07:49:44.5060537Z + shift 2025-09-07T07:49:44.5060689Z + local suite=torchbench 2025-09-07T07:49:44.5060848Z + shift 2025-09-07T07:49:44.5060990Z + local shard_id=0 2025-09-07T07:49:44.5061142Z + shift 2025-09-07T07:49:44.5061284Z + partition_flags=() 2025-09-07T07:49:44.5061450Z + local partition_flags 2025-09-07T07:49:44.5061725Z + [[ -n 4 ]] 2025-09-07T07:49:44.5061881Z + [[ -n 0 ]] 2025-09-07T07:49:44.5062144Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-09-07T07:49:44.5062486Z + [[ inductor_torchbench_perf_cpu_x86 == *perf_compare* ]] 2025-09-07T07:49:44.5062745Z + [[ inductor_torchbench_perf_cpu_x86 == *perf* ]] 2025-09-07T07:49:44.5063078Z + test_perf_for_dashboard torchbench --device cpu --total-partitions 4 --partition-id 0 2025-09-07T07:49:44.5063397Z ++ pwd 2025-09-07T07:49:44.5065131Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:49:44.5065533Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:49:44.5074794Z + local suite=torchbench 2025-09-07T07:49:44.5074984Z + shift 2025-09-07T07:49:44.5075147Z + local backend=inductor 2025-09-07T07:49:44.5075326Z + modes=() 2025-09-07T07:49:44.5075473Z + local modes 2025-09-07T07:49:44.5075975Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *training-true* ]] 2025-09-07T07:49:44.5076785Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *inference-true* ]] 2025-09-07T07:49:44.5077265Z + modes+=(inference) 2025-09-07T07:49:44.5077457Z + targets=('accuracy' 'performance') 2025-09-07T07:49:44.5077658Z + local targets 2025-09-07T07:49:44.5077831Z + local device=cuda 2025-09-07T07:49:44.5078020Z + [[ inductor_torchbench_perf_cpu_x86 == *cpu* ]] 2025-09-07T07:49:44.5078278Z + [[ inductor_torchbench_perf_cpu_x86 == *cpu_x86_zen* ]] 2025-09-07T07:49:44.5078538Z + [[ inductor_torchbench_perf_cpu_x86 == *cpu_x86* ]] 2025-09-07T07:49:44.5078770Z + device=cpu_x86 2025-09-07T07:49:44.5078941Z + test_inductor_set_cpu_affinity 2025-09-07T07:49:44.5079176Z ++ find /usr/lib -name libjemalloc.so.2 2025-09-07T07:49:44.5262497Z + JEMALLOC_LIB=/usr/lib/x86_64-linux-gnu/libjemalloc.so.2 2025-09-07T07:49:44.5262845Z + export LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so.2: 2025-09-07T07:49:44.5263159Z + LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so.2: 2025-09-07T07:49:44.5263553Z + export MALLOC_CONF=oversize_threshold:1,background_thread:true,metadata_thp:auto,dirty_decay_ms:-1,muzzy_decay_ms:-1 2025-09-07T07:49:44.5264058Z + MALLOC_CONF=oversize_threshold:1,background_thread:true,metadata_thp:auto,dirty_decay_ms:-1,muzzy_decay_ms:-1 2025-09-07T07:49:44.5264440Z + [[ inductor_torchbench_perf_cpu_x86 != *aarch64* ]] 2025-09-07T07:49:44.5266857Z +++ which python 2025-09-07T07:49:44.5282444Z ++ dirname /opt/conda/envs/py_3.9/bin/python 2025-09-07T07:49:44.5314599Z + IOMP_LIB=/opt/conda/envs/py_3.9/bin/../lib/libiomp5.so 2025-09-07T07:49:44.5314997Z + export LD_PRELOAD=/opt/conda/envs/py_3.9/bin/../lib/libiomp5.so:/usr/lib/x86_64-linux-gnu/libjemalloc.so.2: 2025-09-07T07:49:44.5315456Z + LD_PRELOAD=/opt/conda/envs/py_3.9/bin/../lib/libiomp5.so:/usr/lib/x86_64-linux-gnu/libjemalloc.so.2: 2025-09-07T07:49:44.5315805Z + export KMP_AFFINITY=granularity=fine,compact,1,0 2025-09-07T07:49:44.5316041Z + KMP_AFFINITY=granularity=fine,compact,1,0 2025-09-07T07:49:44.5316255Z + export KMP_BLOCKTIME=1 2025-09-07T07:49:44.5316430Z + KMP_BLOCKTIME=1 2025-09-07T07:49:44.5318277Z ++ nproc 2025-09-07T07:49:44.5337408Z + cpus=96 2025-09-07T07:49:44.5342818Z ++ lscpu 2025-09-07T07:49:44.5344197Z ++ grep 'Thread(s) per core:' 2025-09-07T07:49:44.5344693Z ++ awk '{print $4}' 2025-09-07T07:49:44.5606587Z + thread_per_core=2 2025-09-07T07:49:44.5606792Z + cores=48 2025-09-07T07:49:44.5606994Z + [[ inductor_torchbench_perf_cpu_x86 == *aarch64* ]] 2025-09-07T07:49:44.5607236Z + export OMP_NUM_THREADS=48 2025-09-07T07:49:44.5607419Z + OMP_NUM_THREADS=48 2025-09-07T07:49:44.5609682Z ++ python -c 'import os; print(min(os.sched_getaffinity(0)))' 2025-09-07T07:49:44.5841918Z + start_cpu=0 2025-09-07T07:49:44.5842261Z ++ python -c 'import os; print(max(os.sched_getaffinity(0)))' 2025-09-07T07:49:44.6061847Z + end_cpu=93 2025-09-07T07:49:44.6062071Z + export 'TASKSET=taskset -c 0-93' 2025-09-07T07:49:44.6063869Z + TASKSET='taskset -c 0-93' 2025-09-07T07:49:44.6064108Z + for mode in "${modes[@]}" 2025-09-07T07:49:44.6064317Z + [[ inference == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T07:49:44.6064525Z + [[ cpu_x86 == \c\p\u\_\x\8\6 ]] 2025-09-07T07:49:44.6064711Z + dtype=amp 2025-09-07T07:49:44.6064874Z + for target in "${targets[@]}" 2025-09-07T07:49:44.6065069Z + target_flag=('--accuracy') 2025-09-07T07:49:44.6065246Z + local target_flag 2025-09-07T07:49:44.6065423Z + [[ accuracy == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T07:49:44.6065633Z + [[ accuracy == \a\c\c\u\r\a\c\y ]] 2025-09-07T07:49:44.6065857Z + target_flag+=(--no-translation-validation) 2025-09-07T07:49:44.6066368Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *freezing-true* ]] 2025-09-07T07:49:44.6066875Z + target_flag+=(--freezing) 2025-09-07T07:49:44.6067346Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *default-true* ]] 2025-09-07T07:49:44.6068513Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --accuracy --no-translation-validation --freezing --inference --amp --backend inductor --disable-cudagraphs --device cpu --total-partitions 4 --partition-id 0 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_torchbench_amp_inference_cpu_x86_accuracy.csv 2025-09-07T07:49:44.9212845Z /opt/conda/envs/py_3.9/lib/python3.9/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. 2025-09-07T07:49:44.9214271Z import pynvml # type: ignore[import] 2025-09-07T07:49:47.0328396Z /opt/conda/envs/py_3.9/lib/python3.9/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. 2025-09-07T07:49:47.0329857Z import pynvml # type: ignore[import] 2025-09-07T07:49:48.7451347Z 2025-09-07T07:49:50.0868499Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:49:50.0868873Z loading model: 0it [00:01, ?it/s] 2025-09-07T07:49:50.0869735Z cpu eval BERT_pytorch 2025-09-07T07:49:50.3001521Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:49:50.4353813Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:49:50.5689740Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:50:20.1273641Z pass 2025-09-07T07:50:20.1274067Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:50:21.9916123Z /opt/conda/envs/py_3.9/lib/python3.9/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. 2025-09-07T07:50:21.9917642Z import pynvml # type: ignore[import] 2025-09-07T07:50:23.7016651Z 2025-09-07T07:50:25.7694480Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:50:25.7694807Z loading model: 0it [00:02, ?it/s] 2025-09-07T07:50:25.7695066Z cpu eval Background_Matting 2025-09-07T07:50:25.8751245Z pass_due_to_skip 2025-09-07T07:50:25.8751589Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:50:26.8726646Z /opt/conda/envs/py_3.9/lib/python3.9/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. 2025-09-07T07:50:26.8728086Z import pynvml # type: ignore[import] 2025-09-07T07:50:28.5844634Z 2025-09-07T07:50:30.0394695Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:50:30.0395079Z loading model: 0it [00:01, ?it/s] 2025-09-07T07:50:30.0395411Z cpu eval LearningToPaint 2025-09-07T07:50:30.1178659Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:50:30.1391076Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:50:30.1573914Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:50:41.9932945Z pass 2025-09-07T07:50:41.9933386Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:50:43.7712775Z /opt/conda/envs/py_3.9/lib/python3.9/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. 2025-09-07T07:50:43.7714228Z import pynvml # type: ignore[import] 2025-09-07T07:50:45.4817772Z 2025-09-07T07:50:46.3027377Z 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 2025-09-07T07:50:46.3123387Z 2025-09-07T07:50:46.3123391Z 2025-09-07T07:50:46.4132940Z 0% 0.00/528M [00:00 0).unsqueeze(1).repeat(1, x.size(1), 1).unsqueeze(1) 2025-09-07T08:12:32.4820143Z 2025-09-07T08:12:32.4820268Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.4820624Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.4820936Z return mod(*inputs) 2025-09-07T08:12:32.4821266Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.4821625Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.4821961Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 47, in forward 2025-09-07T08:12:32.4822293Z x = self.embedding(x, segment_info) 2025-09-07T08:12:32.4822666Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/embedding/bert.py", line 32, in forward 2025-09-07T08:12:32.4823100Z x = self.token(sequence) + self.position(sequence) + self.segment(segment_label) 2025-09-07T08:12:32.4823325Z 2025-09-07T08:12:32.4823410Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4823633Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4823837Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4824026Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4824228Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4824458Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.4824804Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.4825103Z return mod(*inputs) 2025-09-07T08:12:32.4825429Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.4825781Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.4826102Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.4826434Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.4826787Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.4827158Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.4827520Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.4827909Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.4828294Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.4828668Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.4829067Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.4829835Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.4830250Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T08:12:32.4830780Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T08:12:32.4830986Z 2025-09-07T08:12:32.4831094Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.4831434Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.4831747Z return mod(*inputs) 2025-09-07T08:12:32.4832080Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.4832423Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.4832748Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.4833085Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.4833423Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.4833785Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.4834145Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.4834531Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.4834910Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.4835292Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.4835687Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.4836105Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.4836511Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T08:12:32.4837085Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T08:12:32.4837281Z 2025-09-07T08:12:32.4837396Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.4837742Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.4838044Z return mod(*inputs) 2025-09-07T08:12:32.4838371Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.4838723Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.4839052Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.4839373Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.4839713Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.4840074Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.4840447Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.4840829Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.4841193Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.4841572Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.4841974Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.4842391Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.4842794Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T08:12:32.4844307Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T08:12:32.4844515Z 2025-09-07T08:12:32.4844595Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4844805Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4845039Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.4845428Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.4845734Z return mod(*inputs) 2025-09-07T08:12:32.4846060Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.4846408Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.4846732Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.4847049Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.4847396Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.4847756Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.4848118Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.4848496Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.4848870Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.4849241Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.4849635Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.4850051Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.4850449Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T08:12:32.4850830Z return torch.matmul(p_attn, value), p_attn 2025-09-07T08:12:32.4850975Z 2025-09-07T08:12:32.4851076Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.4851425Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.4851738Z return mod(*inputs) 2025-09-07T08:12:32.4852055Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.4852409Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.4852728Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.4853063Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.4853391Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.4853749Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.4854106Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.4854488Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.4854855Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.4855226Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.4855630Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.4856042Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.4856443Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T08:12:32.4856898Z return torch.matmul(p_attn, value), p_attn 2025-09-07T08:12:32.4857034Z 2025-09-07T08:12:32.4857137Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.4857492Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.4857860Z return mod(*inputs) 2025-09-07T08:12:32.4858185Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.4858526Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.4858896Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.4859226Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.4859566Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.4859930Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.4860284Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.4860669Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.4861044Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.4861413Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.4861804Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T08:12:32.4862220Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T08:12:32.4862414Z 2025-09-07T08:12:32.4862493Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4862702Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4862908Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4863097Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4863299Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4863492Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4863690Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4863876Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4864076Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4864271Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4864493Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.4864825Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.4865135Z return mod(*inputs) 2025-09-07T08:12:32.4865463Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.4865813Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.4866133Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.4866455Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.4866792Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.4867151Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.4867516Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.4867895Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.4868260Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.4868629Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.4869021Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.4869437Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.4869834Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T08:12:32.4870261Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T08:12:32.4870461Z 2025-09-07T08:12:32.4870595Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.4870937Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.4871245Z return mod(*inputs) 2025-09-07T08:12:32.4871603Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.4871948Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.4872269Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.4872595Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.4872924Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.4873277Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.4873637Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.4874019Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.4874388Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.4874752Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.4875150Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.4875563Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.4875967Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T08:12:32.4876387Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T08:12:32.4876581Z 2025-09-07T08:12:32.4876680Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.4877021Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.4877333Z return mod(*inputs) 2025-09-07T08:12:32.4877653Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.4877997Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.4878314Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.4878643Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.4878978Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.4879330Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.4879684Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.4880062Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.4880432Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.4880812Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.4881207Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.4881619Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.4882024Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T08:12:32.4882450Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T08:12:32.4882642Z 2025-09-07T08:12:32.4882727Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4882940Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4883160Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.4883506Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.4883846Z return mod(*inputs) 2025-09-07T08:12:32.4884170Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.4884510Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.4884861Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.4885187Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.4885524Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.4885880Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.4886236Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.4886618Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.4886993Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.4887369Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.4887755Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.4888171Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.4888571Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T08:12:32.4888940Z return torch.matmul(p_attn, value), p_attn 2025-09-07T08:12:32.4889077Z 2025-09-07T08:12:32.4889188Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.4889522Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.4889834Z return mod(*inputs) 2025-09-07T08:12:32.4890156Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.4890505Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.4890826Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.4891147Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.4891485Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.4891837Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.4892197Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.4892568Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.4892935Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.4893306Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.4893699Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.4894112Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.4894507Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T08:12:32.4894876Z return torch.matmul(p_attn, value), p_attn 2025-09-07T08:12:32.4895017Z 2025-09-07T08:12:32.4895116Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.4895457Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.4895766Z return mod(*inputs) 2025-09-07T08:12:32.4896082Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.4896430Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.4896749Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.4897110Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.4897437Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.4897790Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.4898183Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.4898566Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.4898940Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.4899311Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.4899705Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T08:12:32.4900122Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T08:12:32.4900306Z 2025-09-07T08:12:32.4900393Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4900597Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4900793Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4900988Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4901184Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4901385Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4901605Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.4901954Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.4902263Z return mod(*inputs) 2025-09-07T08:12:32.4902587Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.4902930Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.4903252Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.4903584Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.4903923Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T08:12:32.4904271Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T08:12:32.4904637Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.4905019Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.4905172Z 2025-09-07T08:12:32.4905255Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4905462Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4905652Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4905849Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4906071Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.4906414Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.4906719Z return mod(*inputs) 2025-09-07T08:12:32.4907040Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.4907385Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.4907709Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.4908036Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.4908366Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.4908721Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.4909085Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.4909464Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.4909830Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.4910235Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.4910630Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.4911078Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.4911483Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T08:12:32.4911901Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T08:12:32.4912102Z 2025-09-07T08:12:32.4912201Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.4912550Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.4912861Z return mod(*inputs) 2025-09-07T08:12:32.4913183Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.4913527Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.4913848Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.4914172Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.4914506Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.4914855Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.4915215Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.4915597Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.4915967Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.4916339Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.4916725Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.4917142Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.4917546Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T08:12:32.4917975Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T08:12:32.4918169Z 2025-09-07T08:12:32.4918279Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.4918618Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.4918928Z return mod(*inputs) 2025-09-07T08:12:32.4919246Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.4919595Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.4919913Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.4920236Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.4920573Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.4920925Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.4921285Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.4921654Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.4922018Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.4922385Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.4922773Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.4923182Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.4923622Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T08:12:32.4924050Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T08:12:32.4924251Z 2025-09-07T08:12:32.4924356Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4924562Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4924799Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.4925140Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.4925452Z return mod(*inputs) 2025-09-07T08:12:32.4925784Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.4926141Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.4926460Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.4926798Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.4927143Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.4927501Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.4927872Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.4928252Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.4928631Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.4929015Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.4929414Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.4929830Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.4930241Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T08:12:32.4930613Z return torch.matmul(p_attn, value), p_attn 2025-09-07T08:12:32.4930751Z 2025-09-07T08:12:32.4930863Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.4931215Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.4931527Z return mod(*inputs) 2025-09-07T08:12:32.4931857Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.4932212Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.4932539Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.4932873Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.4933208Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.4933574Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.4933940Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.4934329Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.4934699Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.4935077Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.4935474Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.4935892Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.4936299Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T08:12:32.4936691Z return torch.matmul(p_attn, value), p_attn 2025-09-07T08:12:32.4936832Z 2025-09-07T08:12:32.4936932Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.4937275Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.4937587Z return mod(*inputs) 2025-09-07T08:12:32.4938438Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.4938798Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.4939122Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.4939452Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.4939788Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.4940136Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.4940502Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.4940888Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.4941253Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.4941628Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.4942013Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T08:12:32.4942438Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T08:12:32.4942628Z 2025-09-07T08:12:32.4942705Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4942914Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4943112Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4943312Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4943511Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4943713Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4943902Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4944101Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4944299Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4944499Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4944732Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.4945065Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.4945374Z return mod(*inputs) 2025-09-07T08:12:32.4945695Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.4946041Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.4946351Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.4946679Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.4947013Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.4947369Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.4947716Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.4948097Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.4948466Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.4948837Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.4949229Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.4949633Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.4950031Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T08:12:32.4950482Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T08:12:32.4950675Z 2025-09-07T08:12:32.4950783Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.4951152Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.4951452Z return mod(*inputs) 2025-09-07T08:12:32.4951776Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.4952123Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.4952440Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.4952767Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.4953098Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.4953450Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.4953808Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.4954185Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.4954544Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.4954914Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.4955306Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.4955722Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.4956118Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T08:12:32.4956535Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T08:12:32.4956734Z 2025-09-07T08:12:32.4956882Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.4957230Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.4957543Z return mod(*inputs) 2025-09-07T08:12:32.4957867Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.4958210Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.4958533Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.4958864Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.4959209Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.4959556Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.4959923Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.4960308Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.4960679Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.4961053Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.4961440Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.4961855Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.4962251Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T08:12:32.4962670Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T08:12:32.4962860Z 2025-09-07T08:12:32.4962948Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4963144Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4963515Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.4963864Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.4964178Z return mod(*inputs) 2025-09-07T08:12:32.4964541Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.4964894Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.4965214Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.4965543Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.4965881Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.4966229Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.4966592Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.4966977Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.4967346Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.4967709Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.4968105Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.4968520Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.4968921Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T08:12:32.4969290Z return torch.matmul(p_attn, value), p_attn 2025-09-07T08:12:32.4969425Z 2025-09-07T08:12:32.4969525Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.4969864Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.4970171Z return mod(*inputs) 2025-09-07T08:12:32.4970490Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.4970832Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.4971140Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.4971467Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.4971800Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.4972150Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.4972503Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.4972881Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.4973250Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.4973628Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.4974025Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.4974436Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.4974837Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T08:12:32.4975203Z return torch.matmul(p_attn, value), p_attn 2025-09-07T08:12:32.4975337Z 2025-09-07T08:12:32.4975445Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.4975783Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.4976086Z return mod(*inputs) 2025-09-07T08:12:32.4976411Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.4976811Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.4977132Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.4977454Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.4977820Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.4978176Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.4978531Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.4978910Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.4979270Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.4979642Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.4980039Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T08:12:32.4980467Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T08:12:32.4980647Z 2025-09-07T08:12:32.4980730Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4980926Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4981131Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4981331Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4981529Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4981720Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4981945Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.4982290Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.4982596Z return mod(*inputs) 2025-09-07T08:12:32.4982912Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.4983266Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.4983586Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.4983913Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.4984248Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T08:12:32.4984595Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T08:12:32.4984964Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.4985349Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.4985501Z 2025-09-07T08:12:32.4985584Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4985776Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4985974Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4986170Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.4986399Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.4986731Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.4987042Z return mod(*inputs) 2025-09-07T08:12:32.4987367Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.4987718Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.4988037Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.4988356Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.4988692Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.4989048Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.4989408Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.4989825Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.4990186Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.4990564Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.4990990Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.4991405Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.4991798Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T08:12:32.4992228Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T08:12:32.4992430Z 2025-09-07T08:12:32.4992532Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.4992877Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.4993188Z return mod(*inputs) 2025-09-07T08:12:32.4993498Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.4993845Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.4994167Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.4994497Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.4994833Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.4995179Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.4995540Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.4995921Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.4996289Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.4996658Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.4997048Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.4997465Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.4997864Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T08:12:32.4998284Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T08:12:32.4998476Z 2025-09-07T08:12:32.4998578Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.4998921Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.4999230Z return mod(*inputs) 2025-09-07T08:12:32.4999551Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.4999901Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5000216Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5000538Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5000872Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5001227Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5001578Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5001953Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5002322Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5002697Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5003149Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.5003558Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.5003994Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T08:12:32.5004420Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T08:12:32.5004615Z 2025-09-07T08:12:32.5004700Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5004908Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5005126Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5005470Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5005780Z return mod(*inputs) 2025-09-07T08:12:32.5006105Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5006447Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5006770Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5007099Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5007449Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5007805Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5008156Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5008536Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5008903Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5009278Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5009664Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.5010075Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.5010478Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T08:12:32.5010849Z return torch.matmul(p_attn, value), p_attn 2025-09-07T08:12:32.5010985Z 2025-09-07T08:12:32.5011092Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5011428Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5011737Z return mod(*inputs) 2025-09-07T08:12:32.5012056Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5012406Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5012719Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5013040Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5013374Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5013726Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5014086Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5014459Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5014828Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5015196Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5015587Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.5016004Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.5016430Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T08:12:32.5016803Z return torch.matmul(p_attn, value), p_attn 2025-09-07T08:12:32.5016945Z 2025-09-07T08:12:32.5017046Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5017437Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5017758Z return mod(*inputs) 2025-09-07T08:12:32.5018082Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5018433Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5018751Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5019083Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5019418Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5019778Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5020146Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5020533Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5020906Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5021278Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5021679Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T08:12:32.5022107Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T08:12:32.5022287Z 2025-09-07T08:12:32.5022375Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5022588Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5022792Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5022997Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5023202Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5023405Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5023600Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5023803Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5024003Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5024204Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5024430Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5024780Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5025096Z return mod(*inputs) 2025-09-07T08:12:32.5025424Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5025770Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5026099Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5026431Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5026772Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5027135Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5027495Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5027882Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5028258Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5028640Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5029032Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.5029467Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.5029865Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T08:12:32.5030289Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T08:12:32.5030510Z 2025-09-07T08:12:32.5030619Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5030951Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5031259Z return mod(*inputs) 2025-09-07T08:12:32.5031580Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5031925Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5032248Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5032578Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5032913Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5033264Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5033625Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5033998Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5034361Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5034732Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5035125Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.5035537Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.5035930Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T08:12:32.5036354Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T08:12:32.5036552Z 2025-09-07T08:12:32.5036653Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5037000Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5037310Z return mod(*inputs) 2025-09-07T08:12:32.5037625Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5037974Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5038291Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5038617Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5038948Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5039299Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5039657Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5040043Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5040416Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5040780Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5041173Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.5041585Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.5041983Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T08:12:32.5042409Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T08:12:32.5042632Z 2025-09-07T08:12:32.5042709Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5042918Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5043147Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5043516Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5043817Z return mod(*inputs) 2025-09-07T08:12:32.5044140Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5044483Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5044808Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5045134Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5045462Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5045822Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5046180Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5046560Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5046921Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5047292Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5047680Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.5048091Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.5048489Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T08:12:32.5048846Z return torch.matmul(p_attn, value), p_attn 2025-09-07T08:12:32.5048988Z 2025-09-07T08:12:32.5049092Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5049434Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5049740Z return mod(*inputs) 2025-09-07T08:12:32.5050066Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5050403Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5050720Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5051050Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5051389Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5051736Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5052097Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5052477Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5052850Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5053222Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5053607Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.5054022Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.5054430Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T08:12:32.5054799Z return torch.matmul(p_attn, value), p_attn 2025-09-07T08:12:32.5054935Z 2025-09-07T08:12:32.5055046Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5055378Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5055727Z return mod(*inputs) 2025-09-07T08:12:32.5056051Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5056399Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5056740Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5057120Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5057461Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5057819Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5058183Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5058556Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5058928Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5059309Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5059707Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T08:12:32.5060133Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T08:12:32.5060314Z 2025-09-07T08:12:32.5060395Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5060607Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5060811Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5061012Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5061204Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5061551Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5061780Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5062126Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5062437Z return mod(*inputs) 2025-09-07T08:12:32.5062758Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5063102Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5063438Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5063771Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5064097Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T08:12:32.5064453Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T08:12:32.5064813Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5065196Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5065350Z 2025-09-07T08:12:32.5065433Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5065628Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5065824Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5066020Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5066246Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5066582Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5066893Z return mod(*inputs) 2025-09-07T08:12:32.5067217Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5067570Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5067883Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5068214Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5068554Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5068985Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5069354Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5069735Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5070170Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5070558Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5070961Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.5071383Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.5071785Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T08:12:32.5072217Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T08:12:32.5072426Z 2025-09-07T08:12:32.5072530Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5072871Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5073175Z return mod(*inputs) 2025-09-07T08:12:32.5073501Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5073850Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5074168Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5074498Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5074835Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5075191Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5075550Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5075937Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5076309Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5076679Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5077077Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.5077490Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.5077893Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T08:12:32.5078305Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T08:12:32.5078503Z 2025-09-07T08:12:32.5078604Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5078941Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5079250Z return mod(*inputs) 2025-09-07T08:12:32.5079571Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5079910Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5080231Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5080558Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5080891Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5081237Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5081592Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5081976Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5082345Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5082754Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5083144Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.5083584Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.5083985Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T08:12:32.5084406Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T08:12:32.5084598Z 2025-09-07T08:12:32.5084686Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5084884Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5085118Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5085459Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5085766Z return mod(*inputs) 2025-09-07T08:12:32.5086080Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5086425Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5086741Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5087069Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5087401Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5087752Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5088112Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5088496Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5088873Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5089250Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5089634Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.5090049Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.5090450Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T08:12:32.5090817Z return torch.matmul(p_attn, value), p_attn 2025-09-07T08:12:32.5090952Z 2025-09-07T08:12:32.5091059Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5091391Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5091699Z return mod(*inputs) 2025-09-07T08:12:32.5092019Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5092369Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5092677Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5093003Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5093342Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5093695Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5094057Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5094429Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5094798Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5095166Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5095598Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.5096001Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.5096433Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T08:12:32.5096799Z return torch.matmul(p_attn, value), p_attn 2025-09-07T08:12:32.5096936Z 2025-09-07T08:12:32.5097046Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5097389Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5097691Z return mod(*inputs) 2025-09-07T08:12:32.5098014Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5098363Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5098683Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5099012Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5099340Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5099698Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5100061Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5100443Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5100800Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5101181Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5101576Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T08:12:32.5101997Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T08:12:32.5102181Z 2025-09-07T08:12:32.5102266Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5102466Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5102669Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5102874Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5103072Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5103265Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5103467Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5103667Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5103866Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5104056Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5104284Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5104627Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5104933Z return mod(*inputs) 2025-09-07T08:12:32.5105252Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5105600Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5105915Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5106246Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5106581Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5106927Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5107292Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5107668Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5108038Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5108406Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5108826Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.5109239Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.5109665Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T08:12:32.5110090Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T08:12:32.5110281Z 2025-09-07T08:12:32.5110389Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5110722Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5111033Z return mod(*inputs) 2025-09-07T08:12:32.5111354Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5111698Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5112013Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5112337Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5112674Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5113029Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5113386Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5113760Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5114125Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5114498Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5114890Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.5115298Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.5115703Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T08:12:32.5116135Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T08:12:32.5116338Z 2025-09-07T08:12:32.5116441Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5116784Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5117085Z return mod(*inputs) 2025-09-07T08:12:32.5117406Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5117755Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5118072Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5118396Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5118726Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5119078Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5119440Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5119814Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5120173Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5120542Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5120933Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.5121343Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.5121741Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T08:12:32.5122196Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T08:12:32.5122396Z 2025-09-07T08:12:32.5122474Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5122706Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5122934Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5123273Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5123578Z return mod(*inputs) 2025-09-07T08:12:32.5123900Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5124249Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5124571Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5124892Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5125224Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5125574Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5125939Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5126316Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5126674Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5127051Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5127443Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.5127853Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.5128254Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T08:12:32.5128618Z return torch.matmul(p_attn, value), p_attn 2025-09-07T08:12:32.5128759Z 2025-09-07T08:12:32.5128860Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5129202Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5129515Z return mod(*inputs) 2025-09-07T08:12:32.5129830Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5130176Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5130499Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5130829Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5131165Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5131517Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5131891Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5132274Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5132643Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5133008Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5133402Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.5133813Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.5134212Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T08:12:32.5134575Z return torch.matmul(p_attn, value), p_attn 2025-09-07T08:12:32.5134709Z 2025-09-07T08:12:32.5134839Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5135183Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5135490Z return mod(*inputs) 2025-09-07T08:12:32.5135846Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5136190Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5136502Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5136830Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5137168Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5137523Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5137875Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5138254Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5138618Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5138988Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5139381Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T08:12:32.5139795Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T08:12:32.5139981Z 2025-09-07T08:12:32.5140060Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5140267Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5140465Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5140655Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5140851Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5141048Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5141273Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5141610Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5141915Z return mod(*inputs) 2025-09-07T08:12:32.5142240Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5142584Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5142902Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5143222Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5143553Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T08:12:32.5143904Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T08:12:32.5144262Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5144640Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5144791Z 2025-09-07T08:12:32.5144865Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5145071Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5145273Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5145473Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5145690Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5146036Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5146343Z return mod(*inputs) 2025-09-07T08:12:32.5146668Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5147008Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5147327Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5147654Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5148035Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5148384Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5148763Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5149140Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5149505Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5149875Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5150268Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.5150670Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.5151072Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T08:12:32.5151498Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T08:12:32.5151694Z 2025-09-07T08:12:32.5151803Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5152142Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5152448Z return mod(*inputs) 2025-09-07T08:12:32.5152771Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5153119Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5153436Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5153754Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5154090Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5154443Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5154805Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5155179Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5155543Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5155913Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5156302Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.5156714Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.5157133Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T08:12:32.5157556Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T08:12:32.5157760Z 2025-09-07T08:12:32.5157860Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5158203Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5158511Z return mod(*inputs) 2025-09-07T08:12:32.5158828Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5159179Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5159501Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5159835Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5160168Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5160519Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5160881Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5161326Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5161696Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5162116Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5162511Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.5162923Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.5163329Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T08:12:32.5163757Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T08:12:32.5163949Z 2025-09-07T08:12:32.5164028Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5164244Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5164472Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5164812Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5165117Z return mod(*inputs) 2025-09-07T08:12:32.5165440Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5165789Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5166104Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5166427Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5166754Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5167106Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5167466Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5167848Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5168062Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5168177Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5168412Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.5168532Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.5168758Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T08:12:32.5168844Z return torch.matmul(p_attn, value), p_attn 2025-09-07T08:12:32.5168847Z 2025-09-07T08:12:32.5168954Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5169140Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5169213Z return mod(*inputs) 2025-09-07T08:12:32.5169427Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5169495Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5169695Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5169766Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5169979Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5170061Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5170275Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5170385Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5170592Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5170739Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5170969Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.5171117Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.5171346Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T08:12:32.5171430Z return torch.matmul(p_attn, value), p_attn 2025-09-07T08:12:32.5171434Z 2025-09-07T08:12:32.5171544Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5171728Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5171798Z return mod(*inputs) 2025-09-07T08:12:32.5172008Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5172080Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5172280Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5172348Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5172568Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5172653Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5172868Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5172978Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5173186Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5173295Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5173531Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T08:12:32.5173664Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T08:12:32.5173667Z 2025-09-07T08:12:32.5173746Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5173825Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5173906Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5173980Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5174062Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5174133Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5174205Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5174285Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5174359Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5174429Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5174537Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5174726Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5174799Z return mod(*inputs) 2025-09-07T08:12:32.5175012Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5175091Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5175285Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5175356Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5175571Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5175657Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5175883Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5175988Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5176224Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5176333Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5176603Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.5176732Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.5176950Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T08:12:32.5177093Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T08:12:32.5177103Z 2025-09-07T08:12:32.5177204Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5177390Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5177459Z return mod(*inputs) 2025-09-07T08:12:32.5177679Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5177754Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5177949Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5178023Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5178242Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5178325Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5178549Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5178650Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5178859Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5178975Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5179221Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.5179348Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.5179570Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T08:12:32.5179719Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T08:12:32.5179722Z 2025-09-07T08:12:32.5179822Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5180006Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5180078Z return mod(*inputs) 2025-09-07T08:12:32.5180293Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5180374Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5180569Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5180639Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5180860Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5180946Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5181173Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5181278Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5181491Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5181601Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5181836Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.5181995Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.5182215Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T08:12:32.5182411Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T08:12:32.5182414Z 2025-09-07T08:12:32.5182490Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5182566Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5182676Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5182857Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5182925Z return mod(*inputs) 2025-09-07T08:12:32.5183140Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5183210Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5183419Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5183489Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5183709Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5183795Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5184014Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5184120Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5184327Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5184434Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5184667Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.5184798Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.5185020Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T08:12:32.5185107Z return torch.matmul(p_attn, value), p_attn 2025-09-07T08:12:32.5185110Z 2025-09-07T08:12:32.5185220Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5185404Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5185473Z return mod(*inputs) 2025-09-07T08:12:32.5185684Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5185750Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5185957Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5186029Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5186244Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5186332Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5186555Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5186656Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5186865Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5186974Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5187206Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.5187332Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.5187550Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T08:12:32.5187660Z return torch.matmul(p_attn, value), p_attn 2025-09-07T08:12:32.5187664Z 2025-09-07T08:12:32.5187776Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5188001Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5188074Z return mod(*inputs) 2025-09-07T08:12:32.5188287Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5188356Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5188555Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5188626Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5188844Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5188930Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5189153Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5189252Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5189460Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5189571Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5189804Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T08:12:32.5189948Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T08:12:32.5189952Z 2025-09-07T08:12:32.5190029Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5190105Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5190188Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5190263Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5190343Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5190414Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5190512Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5190709Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5190774Z return mod(*inputs) 2025-09-07T08:12:32.5191001Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5191069Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5191265Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5191341Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5191550Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T08:12:32.5191645Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T08:12:32.5191863Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5191969Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5191972Z 2025-09-07T08:12:32.5192047Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5192120Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5192199Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5192272Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5192380Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5192563Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5192624Z return mod(*inputs) 2025-09-07T08:12:32.5192846Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5192915Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5193151Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5193220Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5193454Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5193549Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5193763Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5193869Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5194075Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5194176Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5194417Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.5194539Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.5194765Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T08:12:32.5194906Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T08:12:32.5194909Z 2025-09-07T08:12:32.5195016Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5195201Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5195261Z return mod(*inputs) 2025-09-07T08:12:32.5195482Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5195550Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5195746Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5195821Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5196028Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5196118Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5196334Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5196439Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5196645Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5196749Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5196984Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.5197104Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.5197340Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T08:12:32.5197479Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T08:12:32.5197482Z 2025-09-07T08:12:32.5197591Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5197777Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5197840Z return mod(*inputs) 2025-09-07T08:12:32.5198059Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5198129Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5198327Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5198397Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5198600Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5198726Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5198943Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5199078Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5199287Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5199395Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5199624Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.5199743Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.5200003Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T08:12:32.5200143Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T08:12:32.5200149Z 2025-09-07T08:12:32.5200234Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5200308Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5200407Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5200603Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5200667Z return mod(*inputs) 2025-09-07T08:12:32.5200890Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5200959Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5201157Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5201235Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5201443Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5201539Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5201758Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5201866Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5202081Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5202182Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5202422Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.5202545Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.5202771Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T08:12:32.5202856Z return torch.matmul(p_attn, value), p_attn 2025-09-07T08:12:32.5202861Z 2025-09-07T08:12:32.5202962Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5203158Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5203219Z return mod(*inputs) 2025-09-07T08:12:32.5203442Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5203511Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5203720Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5203791Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5204000Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5204092Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5204314Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5204451Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5204659Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5204787Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5205026Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.5205146Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.5205372Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T08:12:32.5205456Z return torch.matmul(p_attn, value), p_attn 2025-09-07T08:12:32.5205460Z 2025-09-07T08:12:32.5205567Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5205750Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5205814Z return mod(*inputs) 2025-09-07T08:12:32.5206035Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5206102Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5206305Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5206375Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5206584Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5206676Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5206891Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5206998Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5207205Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5207309Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5207548Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T08:12:32.5207680Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T08:12:32.5207683Z 2025-09-07T08:12:32.5207768Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5207842Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5207926Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5207998Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5208071Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5208151Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5208223Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5208294Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5208378Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5208449Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5208557Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5208741Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5208806Z return mod(*inputs) 2025-09-07T08:12:32.5209033Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5209099Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5209302Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5209371Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5209579Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5209671Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5209918Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5210025Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5210233Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5210384Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5210621Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.5210740Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.5210968Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T08:12:32.5211107Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T08:12:32.5211110Z 2025-09-07T08:12:32.5211215Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5211405Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5211477Z return mod(*inputs) 2025-09-07T08:12:32.5211693Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5211766Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5211968Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5212037Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5212253Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5212337Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5212551Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5212659Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5212871Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5212981Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5213217Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.5213337Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.5213567Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T08:12:32.5213707Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T08:12:32.5213710Z 2025-09-07T08:12:32.5213817Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5214002Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5214078Z return mod(*inputs) 2025-09-07T08:12:32.5214293Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5214361Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5214567Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5214639Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5214857Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5214942Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5215161Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5215271Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5215479Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5215621Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5215855Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.5216001Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.5216228Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T08:12:32.5216366Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T08:12:32.5216369Z 2025-09-07T08:12:32.5216454Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5216532Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5216638Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5216823Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5216890Z return mod(*inputs) 2025-09-07T08:12:32.5217114Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5217182Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5217388Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5217460Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5217671Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5217763Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5217981Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5218087Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5218293Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5218397Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5218638Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.5218758Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.5218991Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T08:12:32.5219074Z return torch.matmul(p_attn, value), p_attn 2025-09-07T08:12:32.5219077Z 2025-09-07T08:12:32.5219187Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5219371Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5219433Z return mod(*inputs) 2025-09-07T08:12:32.5219653Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5219725Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5219935Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5220006Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5220218Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5220310Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5220525Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5220630Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5220837Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5220947Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5221177Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T08:12:32.5221327Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T08:12:32.5221554Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T08:12:32.5221667Z return torch.matmul(p_attn, value), p_attn 2025-09-07T08:12:32.5221670Z 2025-09-07T08:12:32.5221777Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5221963Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5222026Z return mod(*inputs) 2025-09-07T08:12:32.5222246Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:12:32.5222311Z x = self.bert(x, segment_label) 2025-09-07T08:12:32.5222515Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:12:32.5222588Z x = transformer.forward(x, mask) 2025-09-07T08:12:32.5222797Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T08:12:32.5222889Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T08:12:32.5223105Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T08:12:32.5223213Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T08:12:32.5223420Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T08:12:32.5223528Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T08:12:32.5223758Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T08:12:32.5223886Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T08:12:32.5223889Z 2025-09-07T08:12:32.5223974Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5224050Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5224132Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5224203Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5224275Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5224355Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5224455Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5224645Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5224707Z return mod(*inputs) 2025-09-07T08:12:32.5224920Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 25, in forward 2025-09-07T08:12:32.5225017Z return self.next_sentence(x), self.mask_lm(x) 2025-09-07T08:12:32.5225228Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 42, in forward 2025-09-07T08:12:32.5225322Z return self.softmax(self.linear(x[:, 0])) 2025-09-07T08:12:32.5225325Z 2025-09-07T08:12:32.5225425Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5225606Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5225675Z return mod(*inputs) 2025-09-07T08:12:32.5225891Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 25, in forward 2025-09-07T08:12:32.5225988Z return self.next_sentence(x), self.mask_lm(x) 2025-09-07T08:12:32.5226204Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 42, in forward 2025-09-07T08:12:32.5226292Z return self.softmax(self.linear(x[:, 0])) 2025-09-07T08:12:32.5226294Z 2025-09-07T08:12:32.5226392Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:12:32.5226578Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:12:32.5226678Z return mod(*inputs) 2025-09-07T08:12:32.5226898Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 25, in forward 2025-09-07T08:12:32.5226993Z return self.next_sentence(x), self.mask_lm(x) 2025-09-07T08:12:32.5227241Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 42, in forward 2025-09-07T08:12:32.5227321Z return self.softmax(self.linear(x[:, 0])) 2025-09-07T08:12:32.5227324Z 2025-09-07T08:12:32.5227412Z cudagraph partition due to non gpu ops 2025-09-07T08:12:32.5227486Z cudagraph partition due to non gpu ops 2025-09-07T08:12:48.8309289Z pass 2025-09-07T08:12:48.8309747Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:12:50.4924707Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:12:50.4926193Z import pynvml # type: ignore[import] 2025-09-07T08:12:52.2017568Z 2025-09-07T08:12:54.1068655Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:12:54.1068986Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:12:54.1069293Z cpu eval Background_Matting 2025-09-07T08:12:54.2065184Z pass_due_to_skip 2025-09-07T08:12:54.2065591Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:12:55.1691933Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:12:55.1693479Z import pynvml # type: ignore[import] 2025-09-07T08:12:56.8748923Z 2025-09-07T08:12:58.3164384Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:12:58.3164791Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:12:58.3165127Z cpu eval LearningToPaint 2025-09-07T08:12:58.3898231Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:12:58.4107432Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:12:58.4293567Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:13:02.9861083Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:02.9861498Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:02.9861824Z return mod(*inputs) 2025-09-07T08:13:02.9862149Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 128, in forward 2025-09-07T08:13:02.9862494Z x = F.relu(self.bn1(self.conv1(x))) 2025-09-07T08:13:02.9862666Z 2025-09-07T08:13:02.9862768Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:02.9863106Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:02.9863434Z return mod(*inputs) 2025-09-07T08:13:02.9863750Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 128, in forward 2025-09-07T08:13:02.9864087Z x = F.relu(self.bn1(self.conv1(x))) 2025-09-07T08:13:02.9864217Z 2025-09-07T08:13:02.9864314Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:02.9864652Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:02.9864949Z return mod(*inputs) 2025-09-07T08:13:02.9865245Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 128, in forward 2025-09-07T08:13:02.9865576Z x = F.relu(self.bn1(self.conv1(x))) 2025-09-07T08:13:02.9866005Z 2025-09-07T08:13:02.9866103Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:02.9866440Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:02.9866736Z return mod(*inputs) 2025-09-07T08:13:02.9867131Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-09-07T08:13:02.9867459Z x = self.layer1(x) 2025-09-07T08:13:02.9867769Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T08:13:02.9868109Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T08:13:02.9868241Z 2025-09-07T08:13:02.9868341Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:02.9868681Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:02.9868992Z return mod(*inputs) 2025-09-07T08:13:02.9869301Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-09-07T08:13:02.9869631Z x = self.layer1(x) 2025-09-07T08:13:02.9869934Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T08:13:02.9870275Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T08:13:02.9870454Z 2025-09-07T08:13:02.9870553Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:02.9870891Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:02.9871201Z return mod(*inputs) 2025-09-07T08:13:02.9871508Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-09-07T08:13:02.9871828Z x = self.layer1(x) 2025-09-07T08:13:02.9872128Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward 2025-09-07T08:13:02.9872451Z out = F.relu(out) 2025-09-07T08:13:02.9872546Z 2025-09-07T08:13:02.9872656Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:02.9873000Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:02.9873299Z return mod(*inputs) 2025-09-07T08:13:02.9873605Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-09-07T08:13:02.9873930Z x = self.layer1(x) 2025-09-07T08:13:02.9874226Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward 2025-09-07T08:13:02.9874542Z out = F.relu(out) 2025-09-07T08:13:02.9874641Z 2025-09-07T08:13:02.9874726Z cudagraph partition due to non gpu ops 2025-09-07T08:13:02.9874955Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:02.9875294Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:02.9875597Z return mod(*inputs) 2025-09-07T08:13:02.9875891Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-09-07T08:13:02.9876217Z x = self.layer1(x) 2025-09-07T08:13:02.9876513Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T08:13:02.9876848Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T08:13:02.9876977Z 2025-09-07T08:13:02.9877075Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:02.9877414Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:02.9877718Z return mod(*inputs) 2025-09-07T08:13:02.9878022Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward 2025-09-07T08:13:02.9878347Z x = self.layer1(x) 2025-09-07T08:13:02.9878639Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T08:13:02.9878971Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T08:13:02.9879143Z 2025-09-07T08:13:02.9879227Z cudagraph partition due to non gpu ops 2025-09-07T08:13:02.9879454Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:02.9879776Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:02.9880076Z return mod(*inputs) 2025-09-07T08:13:02.9882485Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-09-07T08:13:02.9882866Z x = self.layer2(x) 2025-09-07T08:13:02.9883162Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T08:13:02.9883496Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T08:13:02.9883630Z 2025-09-07T08:13:02.9883727Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:02.9884063Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:02.9884370Z return mod(*inputs) 2025-09-07T08:13:02.9884670Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-09-07T08:13:02.9884994Z x = self.layer2(x) 2025-09-07T08:13:02.9885291Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T08:13:02.9885623Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T08:13:02.9885752Z 2025-09-07T08:13:02.9885848Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:02.9886183Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:02.9886486Z return mod(*inputs) 2025-09-07T08:13:02.9886787Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-09-07T08:13:02.9887113Z x = self.layer2(x) 2025-09-07T08:13:02.9887402Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward 2025-09-07T08:13:02.9887722Z out = F.relu(out) 2025-09-07T08:13:02.9887826Z 2025-09-07T08:13:02.9887922Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:02.9888255Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:02.9888549Z return mod(*inputs) 2025-09-07T08:13:02.9888855Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-09-07T08:13:02.9889177Z x = self.layer2(x) 2025-09-07T08:13:02.9889477Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward 2025-09-07T08:13:02.9889800Z out = F.relu(out) 2025-09-07T08:13:02.9889890Z 2025-09-07T08:13:02.9889969Z cudagraph partition due to non gpu ops 2025-09-07T08:13:02.9890199Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:02.9890535Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:02.9890839Z return mod(*inputs) 2025-09-07T08:13:02.9891139Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-09-07T08:13:02.9891468Z x = self.layer2(x) 2025-09-07T08:13:02.9891762Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T08:13:02.9892099Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T08:13:02.9892224Z 2025-09-07T08:13:02.9892327Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:02.9892654Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:02.9892959Z return mod(*inputs) 2025-09-07T08:13:02.9893255Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward 2025-09-07T08:13:02.9893579Z x = self.layer2(x) 2025-09-07T08:13:02.9893873Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T08:13:02.9894214Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T08:13:02.9894399Z 2025-09-07T08:13:02.9894473Z cudagraph partition due to non gpu ops 2025-09-07T08:13:02.9894702Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:02.9895036Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:02.9895384Z return mod(*inputs) 2025-09-07T08:13:02.9895688Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-09-07T08:13:02.9896011Z x = self.layer3(x) 2025-09-07T08:13:02.9896307Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T08:13:02.9896628Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T08:13:02.9896761Z 2025-09-07T08:13:02.9896857Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:02.9897192Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:02.9897502Z return mod(*inputs) 2025-09-07T08:13:02.9897804Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-09-07T08:13:02.9898122Z x = self.layer3(x) 2025-09-07T08:13:02.9898424Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T08:13:02.9898755Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T08:13:02.9898880Z 2025-09-07T08:13:02.9898982Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:02.9899310Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:02.9899609Z return mod(*inputs) 2025-09-07T08:13:02.9899907Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-09-07T08:13:02.9900231Z x = self.layer3(x) 2025-09-07T08:13:02.9900519Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward 2025-09-07T08:13:02.9900843Z out = F.relu(out) 2025-09-07T08:13:02.9900941Z 2025-09-07T08:13:02.9901035Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:02.9901370Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:02.9901672Z return mod(*inputs) 2025-09-07T08:13:02.9901967Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-09-07T08:13:02.9902288Z x = self.layer3(x) 2025-09-07T08:13:02.9902583Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward 2025-09-07T08:13:02.9902899Z out = F.relu(out) 2025-09-07T08:13:02.9902988Z 2025-09-07T08:13:02.9903064Z cudagraph partition due to non gpu ops 2025-09-07T08:13:02.9903291Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:02.9903625Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:02.9903930Z return mod(*inputs) 2025-09-07T08:13:02.9904231Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-09-07T08:13:02.9904545Z x = self.layer3(x) 2025-09-07T08:13:02.9904845Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T08:13:02.9905174Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T08:13:02.9905298Z 2025-09-07T08:13:02.9905400Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:02.9905726Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:02.9906029Z return mod(*inputs) 2025-09-07T08:13:02.9906330Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward 2025-09-07T08:13:02.9906651Z x = self.layer3(x) 2025-09-07T08:13:02.9906942Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T08:13:02.9907298Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T08:13:02.9907429Z 2025-09-07T08:13:02.9907503Z cudagraph partition due to non gpu ops 2025-09-07T08:13:02.9907727Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:02.9908090Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:02.9908383Z return mod(*inputs) 2025-09-07T08:13:02.9908684Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-09-07T08:13:02.9909008Z x = self.layer4(x) 2025-09-07T08:13:02.9909305Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T08:13:02.9909636Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T08:13:02.9909762Z 2025-09-07T08:13:02.9909858Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:02.9910197Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:02.9910498Z return mod(*inputs) 2025-09-07T08:13:02.9910800Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-09-07T08:13:02.9911116Z x = self.layer4(x) 2025-09-07T08:13:02.9911415Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T08:13:02.9911746Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T08:13:02.9911869Z 2025-09-07T08:13:02.9911975Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:02.9912308Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:02.9912600Z return mod(*inputs) 2025-09-07T08:13:02.9912902Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-09-07T08:13:02.9913227Z x = self.layer4(x) 2025-09-07T08:13:02.9913519Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward 2025-09-07T08:13:02.9913836Z out = F.relu(out) 2025-09-07T08:13:02.9913967Z 2025-09-07T08:13:02.9914062Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:02.9914403Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:02.9914705Z return mod(*inputs) 2025-09-07T08:13:02.9915009Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-09-07T08:13:02.9915323Z x = self.layer4(x) 2025-09-07T08:13:02.9915626Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward 2025-09-07T08:13:02.9915946Z out = F.relu(out) 2025-09-07T08:13:02.9916034Z 2025-09-07T08:13:02.9916119Z cudagraph partition due to non gpu ops 2025-09-07T08:13:02.9916337Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:02.9916672Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:02.9916976Z return mod(*inputs) 2025-09-07T08:13:02.9917283Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-09-07T08:13:02.9917596Z x = self.layer4(x) 2025-09-07T08:13:02.9917895Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T08:13:02.9918230Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T08:13:02.9918356Z 2025-09-07T08:13:02.9918459Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:02.9918791Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:02.9919089Z return mod(*inputs) 2025-09-07T08:13:02.9919388Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward 2025-09-07T08:13:02.9919706Z x = self.layer4(x) 2025-09-07T08:13:02.9919998Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward 2025-09-07T08:13:02.9920351Z out = F.relu(self.bn1(self.conv1(x))) 2025-09-07T08:13:02.9920480Z 2025-09-07T08:13:02.9920556Z cudagraph partition due to non gpu ops 2025-09-07T08:13:02.9920780Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:02.9921145Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:02.9921443Z return mod(*inputs) 2025-09-07T08:13:02.9921739Z File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 133, in forward 2025-09-07T08:13:02.9922069Z x = F.avg_pool2d(x, 4) 2025-09-07T08:13:02.9922183Z 2025-09-07T08:13:02.9922257Z cudagraph partition due to non gpu ops 2025-09-07T08:13:02.9922461Z cudagraph partition due to non gpu ops 2025-09-07T08:13:11.9042543Z pass 2025-09-07T08:13:11.9042980Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:13:13.7181883Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:13:13.7183478Z import pynvml # type: ignore[import] 2025-09-07T08:13:15.4217938Z 2025-09-07T08:13:16.9140955Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:13:16.9141288Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:13:16.9145811Z cpu eval Super_SloMo 2025-09-07T08:13:32.2777806Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:13:32.6008446Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:13:32.9225747Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:13:46.5083181Z cudagraph partition due to non gpu ops 2025-09-07T08:13:46.5083453Z cudagraph partition due to non gpu ops 2025-09-07T08:13:46.5083663Z cudagraph partition due to non gpu ops 2025-09-07T08:13:46.5083865Z cudagraph partition due to non gpu ops 2025-09-07T08:13:46.5084061Z cudagraph partition due to non gpu ops 2025-09-07T08:13:46.5084287Z cudagraph partition due to non gpu ops 2025-09-07T08:13:46.5084524Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5084894Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5085215Z return mod(*inputs) 2025-09-07T08:13:46.5085500Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5085836Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5085994Z 2025-09-07T08:13:46.5086094Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5086436Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5086748Z return mod(*inputs) 2025-09-07T08:13:46.5087028Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5087354Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5087680Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward 2025-09-07T08:13:46.5088016Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5088165Z 2025-09-07T08:13:46.5088266Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5088605Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5088915Z return mod(*inputs) 2025-09-07T08:13:46.5089188Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5089503Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5090083Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward 2025-09-07T08:13:46.5090412Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5090557Z 2025-09-07T08:13:46.5090666Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5091826Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5092144Z return mod(*inputs) 2025-09-07T08:13:46.5092422Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5092758Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5093085Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward 2025-09-07T08:13:46.5093397Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5093546Z 2025-09-07T08:13:46.5093645Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5093982Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5094284Z return mod(*inputs) 2025-09-07T08:13:46.5094557Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5094873Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5095270Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward 2025-09-07T08:13:46.5095610Z s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T08:13:46.5095757Z 2025-09-07T08:13:46.5095869Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5096208Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5096509Z return mod(*inputs) 2025-09-07T08:13:46.5096780Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5097104Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5097421Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward 2025-09-07T08:13:46.5097748Z s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T08:13:46.5097903Z 2025-09-07T08:13:46.5098003Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5098334Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5098637Z return mod(*inputs) 2025-09-07T08:13:46.5098908Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5099225Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5099541Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward 2025-09-07T08:13:46.5099832Z s2 = self.down1(s1) 2025-09-07T08:13:46.5100102Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward 2025-09-07T08:13:46.5100393Z x = F.avg_pool2d(x, 2) 2025-09-07T08:13:46.5100507Z 2025-09-07T08:13:46.5100605Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5100943Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5101248Z return mod(*inputs) 2025-09-07T08:13:46.5101522Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5101838Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5102165Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward 2025-09-07T08:13:46.5102455Z s2 = self.down1(s1) 2025-09-07T08:13:46.5102724Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T08:13:46.5103032Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5103235Z 2025-09-07T08:13:46.5103331Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5103664Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5103965Z return mod(*inputs) 2025-09-07T08:13:46.5104333Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5104649Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5104968Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward 2025-09-07T08:13:46.5105261Z s2 = self.down1(s1) 2025-09-07T08:13:46.5105529Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T08:13:46.5105840Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5105988Z 2025-09-07T08:13:46.5106087Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5106428Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5106738Z return mod(*inputs) 2025-09-07T08:13:46.5107018Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5107338Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5107666Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward 2025-09-07T08:13:46.5107959Z s2 = self.down1(s1) 2025-09-07T08:13:46.5108224Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T08:13:46.5108532Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T08:13:46.5108681Z 2025-09-07T08:13:46.5108780Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5109115Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5109418Z return mod(*inputs) 2025-09-07T08:13:46.5109687Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5110011Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5110327Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward 2025-09-07T08:13:46.5110615Z s2 = self.down1(s1) 2025-09-07T08:13:46.5110884Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T08:13:46.5111195Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T08:13:46.5111342Z 2025-09-07T08:13:46.5111440Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5111779Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5112090Z return mod(*inputs) 2025-09-07T08:13:46.5112362Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5112676Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5113001Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward 2025-09-07T08:13:46.5113290Z s3 = self.down2(s2) 2025-09-07T08:13:46.5113559Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward 2025-09-07T08:13:46.5113850Z x = F.avg_pool2d(x, 2) 2025-09-07T08:13:46.5113965Z 2025-09-07T08:13:46.5114064Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5114407Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5114718Z return mod(*inputs) 2025-09-07T08:13:46.5115015Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5115334Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5115655Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward 2025-09-07T08:13:46.5115984Z s3 = self.down2(s2) 2025-09-07T08:13:46.5116249Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T08:13:46.5116559Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5116708Z 2025-09-07T08:13:46.5116809Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5117175Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5117479Z return mod(*inputs) 2025-09-07T08:13:46.5117749Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5118064Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5118384Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward 2025-09-07T08:13:46.5118676Z s3 = self.down2(s2) 2025-09-07T08:13:46.5118939Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T08:13:46.5119247Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5119393Z 2025-09-07T08:13:46.5119491Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5119831Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5120142Z return mod(*inputs) 2025-09-07T08:13:46.5120412Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5120728Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5121044Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward 2025-09-07T08:13:46.5121332Z s3 = self.down2(s2) 2025-09-07T08:13:46.5121596Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T08:13:46.5121901Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T08:13:46.5122046Z 2025-09-07T08:13:46.5122145Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5122486Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5122795Z return mod(*inputs) 2025-09-07T08:13:46.5123058Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5123375Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5123692Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward 2025-09-07T08:13:46.5123984Z s3 = self.down2(s2) 2025-09-07T08:13:46.5124250Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T08:13:46.5124553Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T08:13:46.5124700Z 2025-09-07T08:13:46.5124799Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5125134Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5125444Z return mod(*inputs) 2025-09-07T08:13:46.5125715Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5126031Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5126349Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward 2025-09-07T08:13:46.5126639Z s4 = self.down3(s3) 2025-09-07T08:13:46.5126909Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward 2025-09-07T08:13:46.5127196Z x = F.avg_pool2d(x, 2) 2025-09-07T08:13:46.5127309Z 2025-09-07T08:13:46.5127408Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5127744Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5128047Z return mod(*inputs) 2025-09-07T08:13:46.5128314Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5128660Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5128982Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward 2025-09-07T08:13:46.5129278Z s4 = self.down3(s3) 2025-09-07T08:13:46.5129595Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T08:13:46.5129905Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5130051Z 2025-09-07T08:13:46.5130150Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5130486Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5130791Z return mod(*inputs) 2025-09-07T08:13:46.5131062Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5131378Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5131696Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward 2025-09-07T08:13:46.5131988Z s4 = self.down3(s3) 2025-09-07T08:13:46.5132254Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T08:13:46.5132562Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5132713Z 2025-09-07T08:13:46.5132812Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5133149Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5133456Z return mod(*inputs) 2025-09-07T08:13:46.5133729Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5134043Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5134360Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward 2025-09-07T08:13:46.5134649Z s4 = self.down3(s3) 2025-09-07T08:13:46.5134914Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T08:13:46.5135221Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T08:13:46.5135368Z 2025-09-07T08:13:46.5135466Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5135805Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5136110Z return mod(*inputs) 2025-09-07T08:13:46.5136378Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5136693Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5137009Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward 2025-09-07T08:13:46.5137297Z s4 = self.down3(s3) 2025-09-07T08:13:46.5137559Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T08:13:46.5137867Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T08:13:46.5138016Z 2025-09-07T08:13:46.5138114Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5138449Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5138755Z return mod(*inputs) 2025-09-07T08:13:46.5139022Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5139331Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5139648Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward 2025-09-07T08:13:46.5139937Z s5 = self.down4(s4) 2025-09-07T08:13:46.5140200Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward 2025-09-07T08:13:46.5140483Z x = F.avg_pool2d(x, 2) 2025-09-07T08:13:46.5140597Z 2025-09-07T08:13:46.5140697Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5141066Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5141374Z return mod(*inputs) 2025-09-07T08:13:46.5141648Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5141997Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5142317Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward 2025-09-07T08:13:46.5142611Z s5 = self.down4(s4) 2025-09-07T08:13:46.5142878Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T08:13:46.5143185Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5143334Z 2025-09-07T08:13:46.5143431Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5143770Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5144078Z return mod(*inputs) 2025-09-07T08:13:46.5144348Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5144663Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5144978Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward 2025-09-07T08:13:46.5145272Z s5 = self.down4(s4) 2025-09-07T08:13:46.5145538Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T08:13:46.5145843Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5145988Z 2025-09-07T08:13:46.5146087Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5146422Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5146727Z return mod(*inputs) 2025-09-07T08:13:46.5146997Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5147315Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5147627Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward 2025-09-07T08:13:46.5147915Z s5 = self.down4(s4) 2025-09-07T08:13:46.5148182Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T08:13:46.5148484Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T08:13:46.5148629Z 2025-09-07T08:13:46.5148727Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5149061Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5149365Z return mod(*inputs) 2025-09-07T08:13:46.5149627Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5149950Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5150260Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward 2025-09-07T08:13:46.5150550Z s5 = self.down4(s4) 2025-09-07T08:13:46.5150812Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T08:13:46.5151114Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T08:13:46.5151261Z 2025-09-07T08:13:46.5151361Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5151698Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5152000Z return mod(*inputs) 2025-09-07T08:13:46.5152258Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5152577Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5152889Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward 2025-09-07T08:13:46.5153181Z x = self.down5(s5) 2025-09-07T08:13:46.5153450Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward 2025-09-07T08:13:46.5153761Z x = F.avg_pool2d(x, 2) 2025-09-07T08:13:46.5153875Z 2025-09-07T08:13:46.5153975Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5154340Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5154648Z return mod(*inputs) 2025-09-07T08:13:46.5154913Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5155232Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5155545Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward 2025-09-07T08:13:46.5155832Z x = self.down5(s5) 2025-09-07T08:13:46.5156100Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T08:13:46.5156402Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5156556Z 2025-09-07T08:13:46.5156657Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5157077Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5157386Z return mod(*inputs) 2025-09-07T08:13:46.5157653Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5157979Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5158294Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward 2025-09-07T08:13:46.5158587Z x = self.down5(s5) 2025-09-07T08:13:46.5158856Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T08:13:46.5159163Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5159311Z 2025-09-07T08:13:46.5159410Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5159749Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5160061Z return mod(*inputs) 2025-09-07T08:13:46.5160323Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5160643Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5160963Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward 2025-09-07T08:13:46.5161254Z x = self.down5(s5) 2025-09-07T08:13:46.5161524Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T08:13:46.5161831Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T08:13:46.5161977Z 2025-09-07T08:13:46.5162076Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5162411Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5162714Z return mod(*inputs) 2025-09-07T08:13:46.5162979Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5163301Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5163616Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward 2025-09-07T08:13:46.5163901Z x = self.down5(s5) 2025-09-07T08:13:46.5164169Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T08:13:46.5164474Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T08:13:46.5164618Z 2025-09-07T08:13:46.5164715Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5165053Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5165358Z return mod(*inputs) 2025-09-07T08:13:46.5165618Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5165938Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5166319Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward 2025-09-07T08:13:46.5166611Z x = self.up1(x, s5) 2025-09-07T08:13:46.5166879Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T08:13:46.5167235Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5167387Z 2025-09-07T08:13:46.5167486Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5167827Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5168135Z return mod(*inputs) 2025-09-07T08:13:46.5168400Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5168722Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5169040Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward 2025-09-07T08:13:46.5169337Z x = self.up1(x, s5) 2025-09-07T08:13:46.5169620Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T08:13:46.5169929Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5170079Z 2025-09-07T08:13:46.5170160Z cudagraph partition due to non gpu ops 2025-09-07T08:13:46.5170374Z cudagraph partition due to non gpu ops 2025-09-07T08:13:46.5170600Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5170930Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5171233Z return mod(*inputs) 2025-09-07T08:13:46.5171504Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5171822Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5172139Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward 2025-09-07T08:13:46.5172421Z x = self.up1(x, s5) 2025-09-07T08:13:46.5172684Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T08:13:46.5173046Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T08:13:46.5173232Z 2025-09-07T08:13:46.5173340Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5173673Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5173979Z return mod(*inputs) 2025-09-07T08:13:46.5174246Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5174570Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5174886Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward 2025-09-07T08:13:46.5175165Z x = self.up1(x, s5) 2025-09-07T08:13:46.5175431Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T08:13:46.5175787Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T08:13:46.5175970Z 2025-09-07T08:13:46.5176075Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5176406Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5176716Z return mod(*inputs) 2025-09-07T08:13:46.5176983Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5177302Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5177615Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward 2025-09-07T08:13:46.5177893Z x = self.up1(x, s5) 2025-09-07T08:13:46.5178157Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T08:13:46.5178510Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T08:13:46.5178732Z 2025-09-07T08:13:46.5178840Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5179177Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5179487Z return mod(*inputs) 2025-09-07T08:13:46.5179823Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5180143Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5180456Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward 2025-09-07T08:13:46.5180738Z x = self.up2(x, s4) 2025-09-07T08:13:46.5181001Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T08:13:46.5181311Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5181451Z 2025-09-07T08:13:46.5181557Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5181884Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5182186Z return mod(*inputs) 2025-09-07T08:13:46.5182456Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5182777Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5183091Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward 2025-09-07T08:13:46.5183376Z x = self.up2(x, s4) 2025-09-07T08:13:46.5183636Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T08:13:46.5183948Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5184085Z 2025-09-07T08:13:46.5184169Z cudagraph partition due to non gpu ops 2025-09-07T08:13:46.5184368Z cudagraph partition due to non gpu ops 2025-09-07T08:13:46.5184596Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5184932Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5185235Z return mod(*inputs) 2025-09-07T08:13:46.5185497Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5185827Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5186138Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward 2025-09-07T08:13:46.5186430Z x = self.up2(x, s4) 2025-09-07T08:13:46.5186691Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T08:13:46.5187035Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T08:13:46.5187223Z 2025-09-07T08:13:46.5187321Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5187660Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5187969Z return mod(*inputs) 2025-09-07T08:13:46.5188230Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5188550Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5188863Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward 2025-09-07T08:13:46.5189153Z x = self.up2(x, s4) 2025-09-07T08:13:46.5189414Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T08:13:46.5189758Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T08:13:46.5189944Z 2025-09-07T08:13:46.5190041Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5190374Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5190675Z return mod(*inputs) 2025-09-07T08:13:46.5190943Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5191800Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5192114Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward 2025-09-07T08:13:46.5192404Z x = self.up2(x, s4) 2025-09-07T08:13:46.5192704Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T08:13:46.5193051Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T08:13:46.5193244Z 2025-09-07T08:13:46.5193342Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5193681Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5193986Z return mod(*inputs) 2025-09-07T08:13:46.5194254Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5194563Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5194879Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward 2025-09-07T08:13:46.5195168Z x = self.up3(x, s3) 2025-09-07T08:13:46.5195436Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T08:13:46.5195744Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5196099Z 2025-09-07T08:13:46.5196197Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5196541Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5196852Z return mod(*inputs) 2025-09-07T08:13:46.5197127Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5197445Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5197766Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward 2025-09-07T08:13:46.5198063Z x = self.up3(x, s3) 2025-09-07T08:13:46.5198329Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T08:13:46.5198633Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5198783Z 2025-09-07T08:13:46.5198863Z cudagraph partition due to non gpu ops 2025-09-07T08:13:46.5199072Z cudagraph partition due to non gpu ops 2025-09-07T08:13:46.5199297Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5199631Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5199929Z return mod(*inputs) 2025-09-07T08:13:46.5200201Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5200522Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5200834Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward 2025-09-07T08:13:46.5201120Z x = self.up3(x, s3) 2025-09-07T08:13:46.5201384Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T08:13:46.5201739Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T08:13:46.5201919Z 2025-09-07T08:13:46.5202028Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5202364Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5202662Z return mod(*inputs) 2025-09-07T08:13:46.5202936Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5203254Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5203565Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward 2025-09-07T08:13:46.5203851Z x = self.up3(x, s3) 2025-09-07T08:13:46.5204119Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T08:13:46.5204507Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T08:13:46.5204685Z 2025-09-07T08:13:46.5204789Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5205149Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5205445Z return mod(*inputs) 2025-09-07T08:13:46.5205718Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5206038Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5206350Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward 2025-09-07T08:13:46.5206633Z x = self.up3(x, s3) 2025-09-07T08:13:46.5206902Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T08:13:46.5207252Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T08:13:46.5207436Z 2025-09-07T08:13:46.5207543Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5207880Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5208181Z return mod(*inputs) 2025-09-07T08:13:46.5208453Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5208775Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5209087Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward 2025-09-07T08:13:46.5209368Z x = self.up4(x, s2) 2025-09-07T08:13:46.5209633Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T08:13:46.5209952Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5210092Z 2025-09-07T08:13:46.5210197Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5210534Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5210833Z return mod(*inputs) 2025-09-07T08:13:46.5211107Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5211431Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5211747Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward 2025-09-07T08:13:46.5212027Z x = self.up4(x, s2) 2025-09-07T08:13:46.5212294Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T08:13:46.5212607Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5212747Z 2025-09-07T08:13:46.5212830Z cudagraph partition due to non gpu ops 2025-09-07T08:13:46.5213034Z cudagraph partition due to non gpu ops 2025-09-07T08:13:46.5213255Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5213598Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5213907Z return mod(*inputs) 2025-09-07T08:13:46.5214180Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5214496Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5214816Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward 2025-09-07T08:13:46.5215107Z x = self.up4(x, s2) 2025-09-07T08:13:46.5215375Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T08:13:46.5215722Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T08:13:46.5215911Z 2025-09-07T08:13:46.5216008Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5216344Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5216686Z return mod(*inputs) 2025-09-07T08:13:46.5216953Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5217263Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5217576Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward 2025-09-07T08:13:46.5217898Z x = self.up4(x, s2) 2025-09-07T08:13:46.5218162Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T08:13:46.5218504Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T08:13:46.5218692Z 2025-09-07T08:13:46.5218788Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5219122Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5219428Z return mod(*inputs) 2025-09-07T08:13:46.5219697Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5220009Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5220318Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward 2025-09-07T08:13:46.5220605Z x = self.up4(x, s2) 2025-09-07T08:13:46.5220871Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T08:13:46.5221225Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T08:13:46.5221402Z 2025-09-07T08:13:46.5221500Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5221836Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5222144Z return mod(*inputs) 2025-09-07T08:13:46.5222413Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5222724Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5223038Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward 2025-09-07T08:13:46.5223328Z x = self.up5(x, s1) 2025-09-07T08:13:46.5223590Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T08:13:46.5223907Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5224045Z 2025-09-07T08:13:46.5224142Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5224487Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5224789Z return mod(*inputs) 2025-09-07T08:13:46.5225061Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5225372Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5225685Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward 2025-09-07T08:13:46.5225972Z x = self.up5(x, s1) 2025-09-07T08:13:46.5226236Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T08:13:46.5226546Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5226687Z 2025-09-07T08:13:46.5226767Z cudagraph partition due to non gpu ops 2025-09-07T08:13:46.5226976Z cudagraph partition due to non gpu ops 2025-09-07T08:13:46.5227201Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5227535Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5227835Z return mod(*inputs) 2025-09-07T08:13:46.5228109Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5228430Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5228740Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward 2025-09-07T08:13:46.5229019Z x = self.up5(x, s1) 2025-09-07T08:13:46.5229327Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T08:13:46.5229676Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T08:13:46.5229859Z 2025-09-07T08:13:46.5229966Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5230327Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5230629Z return mod(*inputs) 2025-09-07T08:13:46.5230903Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5243121Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5243562Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward 2025-09-07T08:13:46.5243869Z x = self.up5(x, s1) 2025-09-07T08:13:46.5244156Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T08:13:46.5244542Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T08:13:46.5244729Z 2025-09-07T08:13:46.5244853Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5245211Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5245529Z return mod(*inputs) 2025-09-07T08:13:46.5245820Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5246156Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5246482Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward 2025-09-07T08:13:46.5246772Z x = self.up5(x, s1) 2025-09-07T08:13:46.5247045Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T08:13:46.5247399Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T08:13:46.5247583Z 2025-09-07T08:13:46.5247695Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5248048Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5248353Z return mod(*inputs) 2025-09-07T08:13:46.5248634Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5248963Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5249287Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 209, in forward 2025-09-07T08:13:46.5249598Z x = F.leaky_relu(self.conv3(x), negative_slope=0.1) 2025-09-07T08:13:46.5249750Z 2025-09-07T08:13:46.5249850Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5250190Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5250499Z return mod(*inputs) 2025-09-07T08:13:46.5250772Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward 2025-09-07T08:13:46.5251093Z flowOut = self.flowComp(torch.cat((I0, I1), dim=1)) 2025-09-07T08:13:46.5251415Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 209, in forward 2025-09-07T08:13:46.5251736Z x = F.leaky_relu(self.conv3(x), negative_slope=0.1) 2025-09-07T08:13:46.5251877Z 2025-09-07T08:13:46.5251967Z cudagraph partition due to non gpu ops 2025-09-07T08:13:46.5252177Z cudagraph partition due to non gpu ops 2025-09-07T08:13:46.5252398Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5252741Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5253048Z return mod(*inputs) 2025-09-07T08:13:46.5253322Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 45, in forward 2025-09-07T08:13:46.5253639Z g_I1_F_t_1 = self.trainFlowBackWarp(I1, F_t_1) 2025-09-07T08:13:46.5254041Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward 2025-09-07T08:13:46.5254348Z grid = torch.stack((x, y), dim=3) 2025-09-07T08:13:46.5254473Z 2025-09-07T08:13:46.5254562Z cudagraph partition due to non gpu ops 2025-09-07T08:13:46.5254760Z cudagraph partition due to non gpu ops 2025-09-07T08:13:46.5255037Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5255380Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5255686Z return mod(*inputs) 2025-09-07T08:13:46.5255956Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 44, in forward 2025-09-07T08:13:46.5256270Z g_I0_F_t_0 = self.trainFlowBackWarp(I0, F_t_0) 2025-09-07T08:13:46.5256589Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward 2025-09-07T08:13:46.5256942Z grid = torch.stack((x, y), dim=3) 2025-09-07T08:13:46.5257065Z 2025-09-07T08:13:46.5257179Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5257513Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5257818Z return mod(*inputs) 2025-09-07T08:13:46.5258099Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 49, in forward 2025-09-07T08:13:46.5258399Z torch.cat( 2025-09-07T08:13:46.5258491Z 2025-09-07T08:13:46.5258600Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5258935Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5259239Z return mod(*inputs) 2025-09-07T08:13:46.5259517Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 49, in forward 2025-09-07T08:13:46.5259813Z torch.cat( 2025-09-07T08:13:46.5259900Z 2025-09-07T08:13:46.5259998Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5260340Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5260648Z return mod(*inputs) 2025-09-07T08:13:46.5260924Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 49, in forward 2025-09-07T08:13:46.5261214Z torch.cat( 2025-09-07T08:13:46.5261301Z 2025-09-07T08:13:46.5261399Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5261741Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5262050Z return mod(*inputs) 2025-09-07T08:13:46.5262326Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5262634Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5262942Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward 2025-09-07T08:13:46.5263261Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5263407Z 2025-09-07T08:13:46.5263513Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5263849Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5264141Z return mod(*inputs) 2025-09-07T08:13:46.5264416Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5264727Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5265029Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward 2025-09-07T08:13:46.5265337Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5265491Z 2025-09-07T08:13:46.5265587Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5265921Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5266226Z return mod(*inputs) 2025-09-07T08:13:46.5266488Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5266890Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5267194Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward 2025-09-07T08:13:46.5267514Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5267656Z 2025-09-07T08:13:46.5267823Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5268157Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5268462Z return mod(*inputs) 2025-09-07T08:13:46.5268736Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5269043Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5269336Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward 2025-09-07T08:13:46.5269663Z s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T08:13:46.5269821Z 2025-09-07T08:13:46.5269920Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5270256Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5270564Z return mod(*inputs) 2025-09-07T08:13:46.5270834Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5271148Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5271449Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward 2025-09-07T08:13:46.5271777Z s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T08:13:46.5271920Z 2025-09-07T08:13:46.5272027Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5272354Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5272660Z return mod(*inputs) 2025-09-07T08:13:46.5272934Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5273248Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5273542Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward 2025-09-07T08:13:46.5273831Z s2 = self.down1(s1) 2025-09-07T08:13:46.5274105Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward 2025-09-07T08:13:46.5274407Z x = F.avg_pool2d(x, 2) 2025-09-07T08:13:46.5274518Z 2025-09-07T08:13:46.5274617Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5274957Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5275263Z return mod(*inputs) 2025-09-07T08:13:46.5275532Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5275838Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5276129Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward 2025-09-07T08:13:46.5276427Z s2 = self.down1(s1) 2025-09-07T08:13:46.5276695Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T08:13:46.5277016Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5277159Z 2025-09-07T08:13:46.5277259Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5277601Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5277904Z return mod(*inputs) 2025-09-07T08:13:46.5278171Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5278480Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5278770Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward 2025-09-07T08:13:46.5279058Z s2 = self.down1(s1) 2025-09-07T08:13:46.5279324Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T08:13:46.5279680Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5279824Z 2025-09-07T08:13:46.5279920Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5280297Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5280601Z return mod(*inputs) 2025-09-07T08:13:46.5280871Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5281175Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5281467Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward 2025-09-07T08:13:46.5281757Z s2 = self.down1(s1) 2025-09-07T08:13:46.5282026Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T08:13:46.5282343Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T08:13:46.5282487Z 2025-09-07T08:13:46.5282585Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5282922Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5283231Z return mod(*inputs) 2025-09-07T08:13:46.5283508Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5283813Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5284105Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward 2025-09-07T08:13:46.5284393Z s2 = self.down1(s1) 2025-09-07T08:13:46.5284658Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T08:13:46.5284970Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T08:13:46.5285112Z 2025-09-07T08:13:46.5285208Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5285545Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5285851Z return mod(*inputs) 2025-09-07T08:13:46.5286119Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5286425Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5286718Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward 2025-09-07T08:13:46.5287013Z s3 = self.down2(s2) 2025-09-07T08:13:46.5287281Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward 2025-09-07T08:13:46.5287575Z x = F.avg_pool2d(x, 2) 2025-09-07T08:13:46.5287679Z 2025-09-07T08:13:46.5287777Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5288120Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5288427Z return mod(*inputs) 2025-09-07T08:13:46.5288697Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5289003Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5289308Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward 2025-09-07T08:13:46.5289601Z s3 = self.down2(s2) 2025-09-07T08:13:46.5289870Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T08:13:46.5290185Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5290327Z 2025-09-07T08:13:46.5290427Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5290763Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5291068Z return mod(*inputs) 2025-09-07T08:13:46.5291341Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5291638Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5291938Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward 2025-09-07T08:13:46.5292260Z s3 = self.down2(s2) 2025-09-07T08:13:46.5292528Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T08:13:46.5292838Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5292987Z 2025-09-07T08:13:46.5293370Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5293710Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5294017Z return mod(*inputs) 2025-09-07T08:13:46.5294282Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5294592Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5294896Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward 2025-09-07T08:13:46.5295186Z s3 = self.down2(s2) 2025-09-07T08:13:46.5295447Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T08:13:46.5295770Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T08:13:46.5295919Z 2025-09-07T08:13:46.5296018Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5296356Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5296656Z return mod(*inputs) 2025-09-07T08:13:46.5296915Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5297221Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5297521Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward 2025-09-07T08:13:46.5297808Z s3 = self.down2(s2) 2025-09-07T08:13:46.5298064Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T08:13:46.5298377Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T08:13:46.5298527Z 2025-09-07T08:13:46.5298623Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5298956Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5299257Z return mod(*inputs) 2025-09-07T08:13:46.5299517Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5299819Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5300115Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward 2025-09-07T08:13:46.5300407Z s4 = self.down3(s3) 2025-09-07T08:13:46.5300663Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward 2025-09-07T08:13:46.5300954Z x = F.avg_pool2d(x, 2) 2025-09-07T08:13:46.5301068Z 2025-09-07T08:13:46.5301164Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5301502Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5301805Z return mod(*inputs) 2025-09-07T08:13:46.5302064Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5302366Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5302665Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward 2025-09-07T08:13:46.5302952Z s4 = self.down3(s3) 2025-09-07T08:13:46.5303212Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T08:13:46.5303527Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5303680Z 2025-09-07T08:13:46.5303777Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5304120Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5304426Z return mod(*inputs) 2025-09-07T08:13:46.5304685Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5305019Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5305318Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward 2025-09-07T08:13:46.5305608Z s4 = self.down3(s3) 2025-09-07T08:13:46.5305890Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T08:13:46.5306213Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5306364Z 2025-09-07T08:13:46.5306462Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5306804Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5307113Z return mod(*inputs) 2025-09-07T08:13:46.5307380Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5307689Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5307993Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward 2025-09-07T08:13:46.5308290Z s4 = self.down3(s3) 2025-09-07T08:13:46.5308549Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T08:13:46.5308869Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T08:13:46.5309017Z 2025-09-07T08:13:46.5309117Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5309462Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5309773Z return mod(*inputs) 2025-09-07T08:13:46.5310036Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5310345Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5310650Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward 2025-09-07T08:13:46.5310944Z s4 = self.down3(s3) 2025-09-07T08:13:46.5311203Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T08:13:46.5311523Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T08:13:46.5311670Z 2025-09-07T08:13:46.5311769Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5312112Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5312433Z return mod(*inputs) 2025-09-07T08:13:46.5312698Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5313058Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5313426Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward 2025-09-07T08:13:46.5313716Z s5 = self.down4(s4) 2025-09-07T08:13:46.5313974Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward 2025-09-07T08:13:46.5314268Z x = F.avg_pool2d(x, 2) 2025-09-07T08:13:46.5314380Z 2025-09-07T08:13:46.5314483Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5314825Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5315124Z return mod(*inputs) 2025-09-07T08:13:46.5315401Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5315706Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5316007Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward 2025-09-07T08:13:46.5316301Z s5 = self.down4(s4) 2025-09-07T08:13:46.5316558Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T08:13:46.5316881Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5317033Z 2025-09-07T08:13:46.5317131Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5317466Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5317803Z return mod(*inputs) 2025-09-07T08:13:46.5318070Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5318372Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5318707Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward 2025-09-07T08:13:46.5319000Z s5 = self.down4(s4) 2025-09-07T08:13:46.5319267Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T08:13:46.5319588Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5319734Z 2025-09-07T08:13:46.5319843Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5320180Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5320479Z return mod(*inputs) 2025-09-07T08:13:46.5320752Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5321064Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5321365Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward 2025-09-07T08:13:46.5321657Z s5 = self.down4(s4) 2025-09-07T08:13:46.5321920Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T08:13:46.5322238Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T08:13:46.5322382Z 2025-09-07T08:13:46.5322491Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5322829Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5323125Z return mod(*inputs) 2025-09-07T08:13:46.5323398Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5323705Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5324004Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward 2025-09-07T08:13:46.5324296Z s5 = self.down4(s4) 2025-09-07T08:13:46.5324558Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T08:13:46.5324875Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T08:13:46.5325018Z 2025-09-07T08:13:46.5325129Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5325464Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5325760Z return mod(*inputs) 2025-09-07T08:13:46.5326029Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5326337Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5326640Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward 2025-09-07T08:13:46.5326925Z x = self.down5(s5) 2025-09-07T08:13:46.5327203Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward 2025-09-07T08:13:46.5327505Z x = F.avg_pool2d(x, 2) 2025-09-07T08:13:46.5327612Z 2025-09-07T08:13:46.5327722Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5328068Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5328366Z return mod(*inputs) 2025-09-07T08:13:46.5328639Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5328949Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5329252Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward 2025-09-07T08:13:46.5329536Z x = self.down5(s5) 2025-09-07T08:13:46.5329809Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T08:13:46.5330125Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5330268Z 2025-09-07T08:13:46.5330405Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5330738Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5331036Z return mod(*inputs) 2025-09-07T08:13:46.5331333Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5331640Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5331936Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward 2025-09-07T08:13:46.5332217Z x = self.down5(s5) 2025-09-07T08:13:46.5332481Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward 2025-09-07T08:13:46.5332792Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5332933Z 2025-09-07T08:13:46.5333041Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5333377Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5333676Z return mod(*inputs) 2025-09-07T08:13:46.5333945Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5334251Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5334551Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward 2025-09-07T08:13:46.5334831Z x = self.down5(s5) 2025-09-07T08:13:46.5335097Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T08:13:46.5335412Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T08:13:46.5335552Z 2025-09-07T08:13:46.5335656Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5335993Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5336288Z return mod(*inputs) 2025-09-07T08:13:46.5336555Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5336859Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5337156Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward 2025-09-07T08:13:46.5337434Z x = self.down5(s5) 2025-09-07T08:13:46.5337706Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward 2025-09-07T08:13:46.5338019Z x = F.leaky_relu(self.conv2(x), negative_slope=0.1) 2025-09-07T08:13:46.5338158Z 2025-09-07T08:13:46.5338261Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5338594Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5338891Z return mod(*inputs) 2025-09-07T08:13:46.5339156Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5339461Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5339762Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward 2025-09-07T08:13:46.5340046Z x = self.up1(x, s5) 2025-09-07T08:13:46.5340312Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T08:13:46.5340625Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5340764Z 2025-09-07T08:13:46.5340868Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5341197Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5341499Z return mod(*inputs) 2025-09-07T08:13:46.5341764Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5342073Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5342369Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward 2025-09-07T08:13:46.5342653Z x = self.up1(x, s5) 2025-09-07T08:13:46.5342915Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T08:13:46.5343260Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5343402Z 2025-09-07T08:13:46.5343488Z cudagraph partition due to non gpu ops 2025-09-07T08:13:46.5343688Z cudagraph partition due to non gpu ops 2025-09-07T08:13:46.5343940Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5344278Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5344583Z return mod(*inputs) 2025-09-07T08:13:46.5344853Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5345151Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5345444Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward 2025-09-07T08:13:46.5345730Z x = self.up1(x, s5) 2025-09-07T08:13:46.5345991Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T08:13:46.5346346Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T08:13:46.5346537Z 2025-09-07T08:13:46.5346634Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5346977Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5347283Z return mod(*inputs) 2025-09-07T08:13:46.5347558Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5347852Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5348148Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward 2025-09-07T08:13:46.5348433Z x = self.up1(x, s5) 2025-09-07T08:13:46.5348695Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T08:13:46.5349040Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T08:13:46.5349226Z 2025-09-07T08:13:46.5349324Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5349661Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5349963Z return mod(*inputs) 2025-09-07T08:13:46.5350235Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5350530Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5350825Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward 2025-09-07T08:13:46.5351108Z x = self.up1(x, s5) 2025-09-07T08:13:46.5351368Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T08:13:46.5351725Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T08:13:46.5351902Z 2025-09-07T08:13:46.5352008Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5352336Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5352640Z return mod(*inputs) 2025-09-07T08:13:46.5352908Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5353207Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5353493Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward 2025-09-07T08:13:46.5353777Z x = self.up2(x, s4) 2025-09-07T08:13:46.5354034Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T08:13:46.5354342Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5354481Z 2025-09-07T08:13:46.5354581Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5354904Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5355206Z return mod(*inputs) 2025-09-07T08:13:46.5355501Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5355802Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5356091Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward 2025-09-07T08:13:46.5356411Z x = self.up2(x, s4) 2025-09-07T08:13:46.5356674Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T08:13:46.5357041Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5357183Z 2025-09-07T08:13:46.5357270Z cudagraph partition due to non gpu ops 2025-09-07T08:13:46.5357468Z cudagraph partition due to non gpu ops 2025-09-07T08:13:46.5357695Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5358034Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5358334Z return mod(*inputs) 2025-09-07T08:13:46.5358598Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5358906Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5359202Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward 2025-09-07T08:13:46.5359486Z x = self.up2(x, s4) 2025-09-07T08:13:46.5359743Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T08:13:46.5360094Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T08:13:46.5360283Z 2025-09-07T08:13:46.5360380Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5360717Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5361020Z return mod(*inputs) 2025-09-07T08:13:46.5361279Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5361586Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5361886Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward 2025-09-07T08:13:46.5362172Z x = self.up2(x, s4) 2025-09-07T08:13:46.5362425Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T08:13:46.5362779Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T08:13:46.5362967Z 2025-09-07T08:13:46.5363064Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5363401Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5363706Z return mod(*inputs) 2025-09-07T08:13:46.5363966Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5364271Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5364566Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward 2025-09-07T08:13:46.5364851Z x = self.up2(x, s4) 2025-09-07T08:13:46.5365104Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T08:13:46.5365454Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T08:13:46.5365637Z 2025-09-07T08:13:46.5365736Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5366073Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5366377Z return mod(*inputs) 2025-09-07T08:13:46.5366635Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5366938Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5367232Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward 2025-09-07T08:13:46.5367514Z x = self.up3(x, s3) 2025-09-07T08:13:46.5367768Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T08:13:46.5368142Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5368290Z 2025-09-07T08:13:46.5368388Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5368721Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5369086Z return mod(*inputs) 2025-09-07T08:13:46.5369349Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5369651Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5369946Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward 2025-09-07T08:13:46.5370234Z x = self.up3(x, s3) 2025-09-07T08:13:46.5370487Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T08:13:46.5370794Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5370939Z 2025-09-07T08:13:46.5371019Z cudagraph partition due to non gpu ops 2025-09-07T08:13:46.5371220Z cudagraph partition due to non gpu ops 2025-09-07T08:13:46.5371432Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5371765Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5372065Z return mod(*inputs) 2025-09-07T08:13:46.5372332Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5372634Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5372921Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward 2025-09-07T08:13:46.5373204Z x = self.up3(x, s3) 2025-09-07T08:13:46.5373462Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T08:13:46.5373809Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T08:13:46.5373985Z 2025-09-07T08:13:46.5374084Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5374420Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5374719Z return mod(*inputs) 2025-09-07T08:13:46.5374984Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5375286Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5375572Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward 2025-09-07T08:13:46.5375856Z x = self.up3(x, s3) 2025-09-07T08:13:46.5376117Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T08:13:46.5376461Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T08:13:46.5376639Z 2025-09-07T08:13:46.5376738Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5377073Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5377369Z return mod(*inputs) 2025-09-07T08:13:46.5377638Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5377933Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5378217Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward 2025-09-07T08:13:46.5378495Z x = self.up3(x, s3) 2025-09-07T08:13:46.5378755Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T08:13:46.5379103Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T08:13:46.5379279Z 2025-09-07T08:13:46.5379376Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5379710Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5380011Z return mod(*inputs) 2025-09-07T08:13:46.5380274Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5380602Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5380888Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward 2025-09-07T08:13:46.5381167Z x = self.up4(x, s2) 2025-09-07T08:13:46.5381456Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T08:13:46.5381768Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5381910Z 2025-09-07T08:13:46.5382005Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5382338Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5382635Z return mod(*inputs) 2025-09-07T08:13:46.5382902Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5383197Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5383485Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward 2025-09-07T08:13:46.5383770Z x = self.up4(x, s2) 2025-09-07T08:13:46.5384027Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T08:13:46.5384338Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5384479Z 2025-09-07T08:13:46.5384556Z cudagraph partition due to non gpu ops 2025-09-07T08:13:46.5384756Z cudagraph partition due to non gpu ops 2025-09-07T08:13:46.5384977Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5385308Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5385607Z return mod(*inputs) 2025-09-07T08:13:46.5385865Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5386166Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5386457Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward 2025-09-07T08:13:46.5386745Z x = self.up4(x, s2) 2025-09-07T08:13:46.5386999Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T08:13:46.5387351Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T08:13:46.5387539Z 2025-09-07T08:13:46.5387637Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5387971Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5388275Z return mod(*inputs) 2025-09-07T08:13:46.5388536Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5388839Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5389127Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward 2025-09-07T08:13:46.5389414Z x = self.up4(x, s2) 2025-09-07T08:13:46.5389673Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T08:13:46.5390018Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T08:13:46.5390201Z 2025-09-07T08:13:46.5390296Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5390631Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5390935Z return mod(*inputs) 2025-09-07T08:13:46.5391193Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5391493Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5391783Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward 2025-09-07T08:13:46.5392065Z x = self.up4(x, s2) 2025-09-07T08:13:46.5392318Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T08:13:46.5392663Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T08:13:46.5392882Z 2025-09-07T08:13:46.5392978Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5393314Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5393642Z return mod(*inputs) 2025-09-07T08:13:46.5393903Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5394209Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5394504Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward 2025-09-07T08:13:46.5394789Z x = self.up5(x, s1) 2025-09-07T08:13:46.5395040Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T08:13:46.5395351Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5395498Z 2025-09-07T08:13:46.5395596Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5395929Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5396228Z return mod(*inputs) 2025-09-07T08:13:46.5396487Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5396788Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5397077Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward 2025-09-07T08:13:46.5397357Z x = self.up5(x, s1) 2025-09-07T08:13:46.5397606Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward 2025-09-07T08:13:46.5397912Z x = F.leaky_relu(self.conv1(x), negative_slope=0.1) 2025-09-07T08:13:46.5398057Z 2025-09-07T08:13:46.5398131Z cudagraph partition due to non gpu ops 2025-09-07T08:13:46.5398328Z cudagraph partition due to non gpu ops 2025-09-07T08:13:46.5398543Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5398881Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5399179Z return mod(*inputs) 2025-09-07T08:13:46.5399443Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5399518Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5399692Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward 2025-09-07T08:13:46.5399750Z x = self.up5(x, s1) 2025-09-07T08:13:46.5399914Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T08:13:46.5400046Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T08:13:46.5400049Z 2025-09-07T08:13:46.5400145Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5400336Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5400398Z return mod(*inputs) 2025-09-07T08:13:46.5400566Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5400646Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5400809Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward 2025-09-07T08:13:46.5400881Z x = self.up5(x, s1) 2025-09-07T08:13:46.5401043Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T08:13:46.5401167Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T08:13:46.5401176Z 2025-09-07T08:13:46.5401273Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5401454Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5401519Z return mod(*inputs) 2025-09-07T08:13:46.5401687Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5401794Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5401957Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward 2025-09-07T08:13:46.5402015Z x = self.up5(x, s1) 2025-09-07T08:13:46.5402226Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward 2025-09-07T08:13:46.5402351Z x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1) 2025-09-07T08:13:46.5402354Z 2025-09-07T08:13:46.5402455Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5402633Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5402694Z return mod(*inputs) 2025-09-07T08:13:46.5402868Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5402939Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5403109Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 209, in forward 2025-09-07T08:13:46.5403199Z x = F.leaky_relu(self.conv3(x), negative_slope=0.1) 2025-09-07T08:13:46.5403202Z 2025-09-07T08:13:46.5403295Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5403481Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5403541Z return mod(*inputs) 2025-09-07T08:13:46.5403716Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward 2025-09-07T08:13:46.5403788Z intrpOut = self.ArbTimeFlowIntrp( 2025-09-07T08:13:46.5403951Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 209, in forward 2025-09-07T08:13:46.5404049Z x = F.leaky_relu(self.conv3(x), negative_slope=0.1) 2025-09-07T08:13:46.5404052Z 2025-09-07T08:13:46.5404145Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5404331Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5404394Z return mod(*inputs) 2025-09-07T08:13:46.5404570Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 57, in forward 2025-09-07T08:13:46.5404650Z V_t_0 = F.sigmoid(intrpOut[:, 4:5, :, :]) 2025-09-07T08:13:46.5404654Z 2025-09-07T08:13:46.5404748Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5404935Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5404995Z return mod(*inputs) 2025-09-07T08:13:46.5405168Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 61, in forward 2025-09-07T08:13:46.5405263Z g_I0_F_t_0_f = self.trainFlowBackWarp(I0, F_t_0_f) 2025-09-07T08:13:46.5405427Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward 2025-09-07T08:13:46.5405502Z grid = torch.stack((x, y), dim=3) 2025-09-07T08:13:46.5405505Z 2025-09-07T08:13:46.5405600Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5405780Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5405843Z return mod(*inputs) 2025-09-07T08:13:46.5406012Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 62, in forward 2025-09-07T08:13:46.5406111Z g_I1_F_t_1_f = self.trainFlowBackWarp(I1, F_t_1_f) 2025-09-07T08:13:46.5406275Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward 2025-09-07T08:13:46.5406351Z grid = torch.stack((x, y), dim=3) 2025-09-07T08:13:46.5406354Z 2025-09-07T08:13:46.5406447Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5406634Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5406696Z return mod(*inputs) 2025-09-07T08:13:46.5406861Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5407035Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5407039Z 2025-09-07T08:13:46.5407132Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5407344Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5407407Z return mod(*inputs) 2025-09-07T08:13:46.5407573Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5407713Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5407717Z 2025-09-07T08:13:46.5407812Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5407997Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5408057Z return mod(*inputs) 2025-09-07T08:13:46.5408232Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5408366Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5408369Z 2025-09-07T08:13:46.5408462Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5408649Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5408708Z return mod(*inputs) 2025-09-07T08:13:46.5408881Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5409009Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5409012Z 2025-09-07T08:13:46.5409103Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5409288Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5409348Z return mod(*inputs) 2025-09-07T08:13:46.5409522Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5409654Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5409657Z 2025-09-07T08:13:46.5409756Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5409938Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5409998Z return mod(*inputs) 2025-09-07T08:13:46.5410172Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5410300Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5410303Z 2025-09-07T08:13:46.5410402Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5410579Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5410640Z return mod(*inputs) 2025-09-07T08:13:46.5410818Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5410947Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5410950Z 2025-09-07T08:13:46.5411051Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5411233Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5411301Z return mod(*inputs) 2025-09-07T08:13:46.5411467Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5411594Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5411597Z 2025-09-07T08:13:46.5411699Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5411877Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5411943Z return mod(*inputs) 2025-09-07T08:13:46.5412134Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5412263Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5412266Z 2025-09-07T08:13:46.5412368Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5412568Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5412638Z return mod(*inputs) 2025-09-07T08:13:46.5412808Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5412937Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5412946Z 2025-09-07T08:13:46.5413039Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5413218Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5413288Z return mod(*inputs) 2025-09-07T08:13:46.5413456Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5413591Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5413594Z 2025-09-07T08:13:46.5413689Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5413869Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5413936Z return mod(*inputs) 2025-09-07T08:13:46.5414105Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5414241Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5414244Z 2025-09-07T08:13:46.5414337Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5414517Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5414588Z return mod(*inputs) 2025-09-07T08:13:46.5414757Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5414893Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5414896Z 2025-09-07T08:13:46.5414992Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5415181Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5415242Z return mod(*inputs) 2025-09-07T08:13:46.5415411Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5415549Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5415552Z 2025-09-07T08:13:46.5415644Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5415832Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5415895Z return mod(*inputs) 2025-09-07T08:13:46.5416064Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5416199Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5416202Z 2025-09-07T08:13:46.5416299Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5416484Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5416543Z return mod(*inputs) 2025-09-07T08:13:46.5416716Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5416847Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5416850Z 2025-09-07T08:13:46.5416942Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5417124Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5417213Z return mod(*inputs) 2025-09-07T08:13:46.5417387Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5417519Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5417546Z 2025-09-07T08:13:46.5417642Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5417827Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5417887Z return mod(*inputs) 2025-09-07T08:13:46.5418063Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5418193Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5418196Z 2025-09-07T08:13:46.5418297Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5418483Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5418546Z return mod(*inputs) 2025-09-07T08:13:46.5418723Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5418852Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5418858Z 2025-09-07T08:13:46.5418960Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5419142Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5419202Z return mod(*inputs) 2025-09-07T08:13:46.5419379Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5419510Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5419513Z 2025-09-07T08:13:46.5419615Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5419803Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5419870Z return mod(*inputs) 2025-09-07T08:13:46.5420040Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5420171Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5420174Z 2025-09-07T08:13:46.5420272Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5420453Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5420520Z return mod(*inputs) 2025-09-07T08:13:46.5420690Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5420819Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5420822Z 2025-09-07T08:13:46.5420921Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5421106Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5421171Z return mod(*inputs) 2025-09-07T08:13:46.5421340Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5421470Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5421481Z 2025-09-07T08:13:46.5421575Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5421756Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5421821Z return mod(*inputs) 2025-09-07T08:13:46.5421992Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5422128Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5422131Z 2025-09-07T08:13:46.5422225Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5422433Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5422502Z return mod(*inputs) 2025-09-07T08:13:46.5422678Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5422842Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5422845Z 2025-09-07T08:13:46.5422938Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5423113Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5423179Z return mod(*inputs) 2025-09-07T08:13:46.5423350Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5423483Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5423486Z 2025-09-07T08:13:46.5423578Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5423765Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5423826Z return mod(*inputs) 2025-09-07T08:13:46.5423991Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5424129Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5424132Z 2025-09-07T08:13:46.5424226Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5424409Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5424471Z return mod(*inputs) 2025-09-07T08:13:46.5424639Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5424775Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5424778Z 2025-09-07T08:13:46.5424872Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5425056Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5425114Z return mod(*inputs) 2025-09-07T08:13:46.5425292Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5425423Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5425426Z 2025-09-07T08:13:46.5425519Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5425703Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5425763Z return mod(*inputs) 2025-09-07T08:13:46.5425939Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5426071Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5426076Z 2025-09-07T08:13:46.5426172Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5426358Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5426419Z return mod(*inputs) 2025-09-07T08:13:46.5426596Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5426724Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5426727Z 2025-09-07T08:13:46.5426827Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5427003Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5427063Z return mod(*inputs) 2025-09-07T08:13:46.5427236Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5427365Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5427396Z 2025-09-07T08:13:46.5427499Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5427676Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5427738Z return mod(*inputs) 2025-09-07T08:13:46.5427937Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 79, in forward 2025-09-07T08:13:46.5428036Z + L1_lossFn(self.trainFlowBackWarp(I0, F_1_0), I1) 2025-09-07T08:13:46.5428212Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward 2025-09-07T08:13:46.5428283Z grid = torch.stack((x, y), dim=3) 2025-09-07T08:13:46.5428286Z 2025-09-07T08:13:46.5428359Z cudagraph partition due to non gpu ops 2025-09-07T08:13:46.5428460Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5428639Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5428705Z return mod(*inputs) 2025-09-07T08:13:46.5428876Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 80, in forward 2025-09-07T08:13:46.5428975Z + L1_lossFn(self.trainFlowBackWarp(I1, F_0_1), I0) 2025-09-07T08:13:46.5429142Z File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward 2025-09-07T08:13:46.5429212Z grid = torch.stack((x, y), dim=3) 2025-09-07T08:13:46.5429215Z 2025-09-07T08:13:46.5429297Z cudagraph partition due to non gpu ops 2025-09-07T08:13:46.5429390Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5429575Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5429635Z return mod(*inputs) 2025-09-07T08:13:46.5429801Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5429936Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5429942Z 2025-09-07T08:13:46.5430035Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5430223Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5430285Z return mod(*inputs) 2025-09-07T08:13:46.5430456Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5430593Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5430596Z 2025-09-07T08:13:46.5430690Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5430871Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5430931Z return mod(*inputs) 2025-09-07T08:13:46.5431107Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5431236Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5431241Z 2025-09-07T08:13:46.5431335Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5431522Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5431581Z return mod(*inputs) 2025-09-07T08:13:46.5431762Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5431892Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5431894Z 2025-09-07T08:13:46.5431988Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5432174Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5432236Z return mod(*inputs) 2025-09-07T08:13:46.5432409Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5432534Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5432566Z 2025-09-07T08:13:46.5432665Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5432842Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5432900Z return mod(*inputs) 2025-09-07T08:13:46.5433105Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5433236Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5433239Z 2025-09-07T08:13:46.5433339Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5433515Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5433575Z return mod(*inputs) 2025-09-07T08:13:46.5433751Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5433878Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5433883Z 2025-09-07T08:13:46.5433983Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5434163Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5434229Z return mod(*inputs) 2025-09-07T08:13:46.5434400Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5434529Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5434532Z 2025-09-07T08:13:46.5434629Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5434804Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5434872Z return mod(*inputs) 2025-09-07T08:13:46.5435039Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5435168Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5435173Z 2025-09-07T08:13:46.5435270Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5435446Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5435513Z return mod(*inputs) 2025-09-07T08:13:46.5435680Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5435807Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5435817Z 2025-09-07T08:13:46.5435910Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5436086Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5436154Z return mod(*inputs) 2025-09-07T08:13:46.5436322Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5436465Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5436467Z 2025-09-07T08:13:46.5436562Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5436738Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5436812Z return mod(*inputs) 2025-09-07T08:13:46.5436981Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5437119Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5437122Z 2025-09-07T08:13:46.5437215Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5437393Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5437460Z return mod(*inputs) 2025-09-07T08:13:46.5437628Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5437793Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5437796Z 2025-09-07T08:13:46.5437888Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:13:46.5438102Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:13:46.5438164Z return mod(*inputs) 2025-09-07T08:13:46.5438333Z File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward 2025-09-07T08:13:46.5438471Z prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame)) 2025-09-07T08:13:46.5438474Z 2025-09-07T08:13:46.5438549Z cudagraph partition due to non gpu ops 2025-09-07T08:13:46.5438627Z cudagraph partition due to non gpu ops 2025-09-07T08:13:46.5438699Z cudagraph partition due to non gpu ops 2025-09-07T08:13:46.5438771Z cudagraph partition due to non gpu ops 2025-09-07T08:13:46.5438847Z cudagraph partition due to non gpu ops 2025-09-07T08:13:46.5438920Z cudagraph partition due to non gpu ops 2025-09-07T08:14:20.4187709Z pass 2025-09-07T08:14:20.4195090Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:14:22.4189993Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:14:22.4191436Z import pynvml # type: ignore[import] 2025-09-07T08:14:24.1281023Z 2025-09-07T08:14:24.7242838Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:14:24.7243236Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:14:24.7243577Z cpu eval alexnet 2025-09-07T08:14:24.7936850Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:14:24.8098664Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:14:24.8243681Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:14:27.6792338Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:14:27.6792803Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:14:27.6793125Z return mod(*inputs) 2025-09-07T08:14:27.6793481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward 2025-09-07T08:14:27.6793827Z x = self.features(x) 2025-09-07T08:14:27.6793938Z 2025-09-07T08:14:27.6794053Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:14:27.6794397Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:14:27.6794709Z return mod(*inputs) 2025-09-07T08:14:27.6795025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward 2025-09-07T08:14:27.6795364Z x = self.features(x) 2025-09-07T08:14:27.6795469Z 2025-09-07T08:14:27.6795583Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:14:27.6795934Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:14:27.6796245Z return mod(*inputs) 2025-09-07T08:14:27.6796550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward 2025-09-07T08:14:27.6796873Z x = self.features(x) 2025-09-07T08:14:27.6796972Z 2025-09-07T08:14:27.6797070Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:14:27.6797407Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:14:27.6797708Z return mod(*inputs) 2025-09-07T08:14:27.6798039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward 2025-09-07T08:14:27.6798746Z x = self.features(x) 2025-09-07T08:14:27.6798846Z 2025-09-07T08:14:27.6798954Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:14:27.6799287Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:14:27.6799715Z return mod(*inputs) 2025-09-07T08:14:27.6800020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward 2025-09-07T08:14:27.6800348Z x = self.features(x) 2025-09-07T08:14:27.6800446Z 2025-09-07T08:14:27.6800545Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:14:27.6800883Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:14:27.6801184Z return mod(*inputs) 2025-09-07T08:14:27.6801489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward 2025-09-07T08:14:27.6801809Z x = self.features(x) 2025-09-07T08:14:27.6801912Z 2025-09-07T08:14:27.6802008Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:14:27.6802343Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:14:27.6802645Z return mod(*inputs) 2025-09-07T08:14:27.6802952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward 2025-09-07T08:14:27.6803267Z x = self.features(x) 2025-09-07T08:14:27.6803374Z 2025-09-07T08:14:27.6803471Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:14:27.6803806Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:14:27.6804107Z return mod(*inputs) 2025-09-07T08:14:27.6804412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward 2025-09-07T08:14:27.6804730Z x = self.features(x) 2025-09-07T08:14:27.6804836Z 2025-09-07T08:14:27.6804937Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:14:27.6805269Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:14:27.6805573Z return mod(*inputs) 2025-09-07T08:14:27.6805871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward 2025-09-07T08:14:27.6806196Z x = self.features(x) 2025-09-07T08:14:27.6806300Z 2025-09-07T08:14:27.6806398Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:14:27.6806731Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:14:27.6807029Z return mod(*inputs) 2025-09-07T08:14:27.6807323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward 2025-09-07T08:14:27.6807647Z x = self.features(x) 2025-09-07T08:14:27.6807751Z 2025-09-07T08:14:27.6807848Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:14:27.6808186Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:14:27.6808486Z return mod(*inputs) 2025-09-07T08:14:27.6808785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward 2025-09-07T08:14:27.6809112Z x = self.features(x) 2025-09-07T08:14:27.6809209Z 2025-09-07T08:14:27.6809316Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:14:27.6809650Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:14:27.6809943Z return mod(*inputs) 2025-09-07T08:14:27.6810247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward 2025-09-07T08:14:27.6810567Z x = self.features(x) 2025-09-07T08:14:27.6810667Z 2025-09-07T08:14:27.6810768Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:14:27.6811096Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:14:27.6811444Z return mod(*inputs) 2025-09-07T08:14:27.6811752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward 2025-09-07T08:14:27.6812080Z x = self.features(x) 2025-09-07T08:14:27.6812249Z 2025-09-07T08:14:27.6812339Z cudagraph partition due to non gpu ops 2025-09-07T08:14:27.6812565Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:14:27.6812902Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:14:27.6813203Z return mod(*inputs) 2025-09-07T08:14:27.6813501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 51, in forward 2025-09-07T08:14:27.6813828Z x = self.classifier(x) 2025-09-07T08:14:27.6813934Z 2025-09-07T08:14:27.6814030Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:14:27.6814367Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:14:27.6814671Z return mod(*inputs) 2025-09-07T08:14:27.6814974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 51, in forward 2025-09-07T08:14:27.6815293Z x = self.classifier(x) 2025-09-07T08:14:27.6815409Z 2025-09-07T08:14:27.6815505Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:14:27.6815840Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:14:27.6816143Z return mod(*inputs) 2025-09-07T08:14:27.6816447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 51, in forward 2025-09-07T08:14:27.6816762Z x = self.classifier(x) 2025-09-07T08:14:27.6816874Z 2025-09-07T08:14:27.6816968Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:14:27.6817301Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:14:27.6817607Z return mod(*inputs) 2025-09-07T08:14:27.6817905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 51, in forward 2025-09-07T08:14:27.6818232Z x = self.classifier(x) 2025-09-07T08:14:27.6818345Z 2025-09-07T08:14:27.6818427Z cudagraph partition due to non gpu ops 2025-09-07T08:14:27.6818635Z cudagraph partition due to non gpu ops 2025-09-07T08:14:37.5635231Z pass 2025-09-07T08:14:37.5635675Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:14:39.0812326Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:14:39.0813767Z import pynvml # type: ignore[import] 2025-09-07T08:14:40.7890520Z 2025-09-07T08:14:41.9014550Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:14:41.9014970Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:14:41.9015318Z cpu eval basic_gnn_edgecnn 2025-09-07T08:14:41.9981031Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:14:42.0242378Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:14:42.0484837Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:14:43.3162992Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:14:43.3163408Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:14:43.3163741Z return mod(*inputs) 2025-09-07T08:14:43.3164112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:14:43.3164822Z x = self.convs[i](x, edge_index) 2025-09-07T08:14:43.3165067Z File "/tmp/jenkins_pyg/tmphqj6qxqs.py", line 233, in forward 2025-09-07T08:14:43.3165339Z return self.propagate(edge_index, x=x, size=None) 2025-09-07T08:14:43.3165612Z File "/tmp/jenkins_pyg/tmphqj6qxqs.py", line 192, in propagate 2025-09-07T08:14:43.3166037Z out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr) 2025-09-07T08:14:43.3166504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate 2025-09-07T08:14:43.3166933Z return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size, 2025-09-07T08:14:43.3167327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__ 2025-09-07T08:14:43.3167718Z return super().__call__(x, index, ptr, dim_size, dim, **kwargs) 2025-09-07T08:14:43.3168094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 48, in forward 2025-09-07T08:14:43.3168480Z return self.reduce(x, index, ptr, dim_size, dim, reduce='max') 2025-09-07T08:14:43.3168861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce 2025-09-07T08:14:43.3169217Z return scatter(x, index, dim, dim_size, reduce) 2025-09-07T08:14:43.3169632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 98, in scatter 2025-09-07T08:14:43.3169990Z return src.new_zeros(size).scatter_reduce_( 2025-09-07T08:14:43.3170132Z 2025-09-07T08:14:43.3170235Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:14:43.3170587Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:14:43.3170906Z return mod(*inputs) 2025-09-07T08:14:43.3171237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:14:43.3171597Z x = self.convs[i](x, edge_index) 2025-09-07T08:14:43.3171826Z File "/tmp/jenkins_pyg/tmpkqozpnyq.py", line 233, in forward 2025-09-07T08:14:43.3172088Z return self.propagate(edge_index, x=x, size=None) 2025-09-07T08:14:43.3172355Z File "/tmp/jenkins_pyg/tmpkqozpnyq.py", line 192, in propagate 2025-09-07T08:14:43.3172685Z out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr) 2025-09-07T08:14:43.3173133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate 2025-09-07T08:14:43.3173558Z return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size, 2025-09-07T08:14:43.3173944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__ 2025-09-07T08:14:43.3174325Z return super().__call__(x, index, ptr, dim_size, dim, **kwargs) 2025-09-07T08:14:43.3174697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 48, in forward 2025-09-07T08:14:43.3175075Z return self.reduce(x, index, ptr, dim_size, dim, reduce='max') 2025-09-07T08:14:43.3175450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce 2025-09-07T08:14:43.3175806Z return scatter(x, index, dim, dim_size, reduce) 2025-09-07T08:14:43.3176161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 98, in scatter 2025-09-07T08:14:43.3176516Z return src.new_zeros(size).scatter_reduce_( 2025-09-07T08:14:43.3176656Z 2025-09-07T08:14:43.3176758Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:14:43.3177109Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:14:43.3177427Z return mod(*inputs) 2025-09-07T08:14:43.3177757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:14:43.3178145Z x = self.convs[i](x, edge_index) 2025-09-07T08:14:43.3178378Z File "/tmp/jenkins_pyg/tmpgb_ul332.py", line 233, in forward 2025-09-07T08:14:43.3178632Z return self.propagate(edge_index, x=x, size=None) 2025-09-07T08:14:43.3178928Z File "/tmp/jenkins_pyg/tmpgb_ul332.py", line 192, in propagate 2025-09-07T08:14:43.3179248Z out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr) 2025-09-07T08:14:43.3179692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate 2025-09-07T08:14:43.3180116Z return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size, 2025-09-07T08:14:43.3180502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__ 2025-09-07T08:14:43.3180877Z return super().__call__(x, index, ptr, dim_size, dim, **kwargs) 2025-09-07T08:14:43.3181247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 48, in forward 2025-09-07T08:14:43.3181616Z return self.reduce(x, index, ptr, dim_size, dim, reduce='max') 2025-09-07T08:14:43.3181988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce 2025-09-07T08:14:43.3182338Z return scatter(x, index, dim, dim_size, reduce) 2025-09-07T08:14:43.3182686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 98, in scatter 2025-09-07T08:14:43.3183026Z return src.new_zeros(size).scatter_reduce_( 2025-09-07T08:14:43.3183172Z 2025-09-07T08:14:43.3183271Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:14:43.3183614Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:14:43.3183928Z return mod(*inputs) 2025-09-07T08:14:43.3184249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:14:43.3184596Z x = self.convs[i](x, edge_index) 2025-09-07T08:14:43.3184829Z File "/tmp/jenkins_pyg/tmphqj6qxqs.py", line 233, in forward 2025-09-07T08:14:43.3185083Z return self.propagate(edge_index, x=x, size=None) 2025-09-07T08:14:43.3185345Z File "/tmp/jenkins_pyg/tmphqj6qxqs.py", line 191, in propagate 2025-09-07T08:14:43.3185595Z out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i) 2025-09-07T08:14:43.3185961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message 2025-09-07T08:14:43.3186336Z return self.nn(torch.cat([x_i, x_j - x_i], dim=-1)) 2025-09-07T08:14:43.3186516Z 2025-09-07T08:14:43.3186615Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:14:43.3186951Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:14:43.3187262Z return mod(*inputs) 2025-09-07T08:14:43.3187577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:14:43.3187926Z x = self.convs[i](x, edge_index) 2025-09-07T08:14:43.3188157Z File "/tmp/jenkins_pyg/tmphqj6qxqs.py", line 233, in forward 2025-09-07T08:14:43.3188412Z return self.propagate(edge_index, x=x, size=None) 2025-09-07T08:14:43.3188661Z File "/tmp/jenkins_pyg/tmphqj6qxqs.py", line 191, in propagate 2025-09-07T08:14:43.3188917Z out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i) 2025-09-07T08:14:43.3189279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message 2025-09-07T08:14:43.3189642Z return self.nn(torch.cat([x_i, x_j - x_i], dim=-1)) 2025-09-07T08:14:43.3189998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward 2025-09-07T08:14:43.3190316Z x = lin(x) 2025-09-07T08:14:43.3190644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward 2025-09-07T08:14:43.3191015Z return F.linear(x, self.weight, self.bias) 2025-09-07T08:14:43.3191157Z 2025-09-07T08:14:43.3191267Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:14:43.3191645Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:14:43.3191956Z return mod(*inputs) 2025-09-07T08:14:43.3192290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:14:43.3192651Z x = self.convs[i](x, edge_index) 2025-09-07T08:14:43.3192885Z File "/tmp/jenkins_pyg/tmphqj6qxqs.py", line 233, in forward 2025-09-07T08:14:43.3193140Z return self.propagate(edge_index, x=x, size=None) 2025-09-07T08:14:43.3193403Z File "/tmp/jenkins_pyg/tmphqj6qxqs.py", line 191, in propagate 2025-09-07T08:14:43.3193661Z out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i) 2025-09-07T08:14:43.3194077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message 2025-09-07T08:14:43.3194428Z return self.nn(torch.cat([x_i, x_j - x_i], dim=-1)) 2025-09-07T08:14:43.3194784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward 2025-09-07T08:14:43.3195113Z x = self.act(x) 2025-09-07T08:14:43.3195207Z 2025-09-07T08:14:43.3195311Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:14:43.3195650Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:14:43.3195947Z return mod(*inputs) 2025-09-07T08:14:43.3196266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:14:43.3196616Z x = self.convs[i](x, edge_index) 2025-09-07T08:14:43.3196846Z File "/tmp/jenkins_pyg/tmphqj6qxqs.py", line 233, in forward 2025-09-07T08:14:43.3197097Z return self.propagate(edge_index, x=x, size=None) 2025-09-07T08:14:43.3197354Z File "/tmp/jenkins_pyg/tmphqj6qxqs.py", line 191, in propagate 2025-09-07T08:14:43.3197609Z out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i) 2025-09-07T08:14:43.3197973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message 2025-09-07T08:14:43.3198337Z return self.nn(torch.cat([x_i, x_j - x_i], dim=-1)) 2025-09-07T08:14:43.3198683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward 2025-09-07T08:14:43.3199008Z x = self.act(x) 2025-09-07T08:14:43.3199106Z 2025-09-07T08:14:43.3199205Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:14:43.3199545Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:14:43.3199855Z return mod(*inputs) 2025-09-07T08:14:43.3200167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:14:43.3200516Z x = self.convs[i](x, edge_index) 2025-09-07T08:14:43.3200746Z File "/tmp/jenkins_pyg/tmphqj6qxqs.py", line 233, in forward 2025-09-07T08:14:43.3201003Z return self.propagate(edge_index, x=x, size=None) 2025-09-07T08:14:43.3201253Z File "/tmp/jenkins_pyg/tmphqj6qxqs.py", line 191, in propagate 2025-09-07T08:14:43.3201507Z out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i) 2025-09-07T08:14:43.3201868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message 2025-09-07T08:14:43.3202233Z return self.nn(torch.cat([x_i, x_j - x_i], dim=-1)) 2025-09-07T08:14:43.3202576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward 2025-09-07T08:14:43.3202908Z x = self.lins[-1](x) 2025-09-07T08:14:43.3203221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward 2025-09-07T08:14:43.3203633Z return F.linear(x, self.weight, self.bias) 2025-09-07T08:14:43.3203771Z 2025-09-07T08:14:43.3203879Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:14:43.3204242Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:14:43.3204552Z return mod(*inputs) 2025-09-07T08:14:43.3204870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:14:43.3205216Z x = self.convs[i](x, edge_index) 2025-09-07T08:14:43.3205445Z File "/tmp/jenkins_pyg/tmphqj6qxqs.py", line 233, in forward 2025-09-07T08:14:43.3205692Z return self.propagate(edge_index, x=x, size=None) 2025-09-07T08:14:43.3205950Z File "/tmp/jenkins_pyg/tmphqj6qxqs.py", line 191, in propagate 2025-09-07T08:14:43.3206208Z out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i) 2025-09-07T08:14:43.3206572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message 2025-09-07T08:14:43.3206928Z return self.nn(torch.cat([x_i, x_j - x_i], dim=-1)) 2025-09-07T08:14:43.3207285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward 2025-09-07T08:14:43.3207621Z x = self.lins[-1](x) 2025-09-07T08:14:43.3207933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward 2025-09-07T08:14:43.3208287Z return F.linear(x, self.weight, self.bias) 2025-09-07T08:14:43.3208421Z 2025-09-07T08:14:43.3208500Z cudagraph partition due to non gpu ops 2025-09-07T08:14:43.3208729Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:14:43.3209069Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:14:43.3209376Z return mod(*inputs) 2025-09-07T08:14:43.3209694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:14:43.3210044Z x = self.convs[i](x, edge_index) 2025-09-07T08:14:43.3210277Z File "/tmp/jenkins_pyg/tmpkqozpnyq.py", line 233, in forward 2025-09-07T08:14:43.3210535Z return self.propagate(edge_index, x=x, size=None) 2025-09-07T08:14:43.3210788Z File "/tmp/jenkins_pyg/tmpkqozpnyq.py", line 191, in propagate 2025-09-07T08:14:43.3211043Z out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i) 2025-09-07T08:14:43.3211402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message 2025-09-07T08:14:43.3211769Z return self.nn(torch.cat([x_i, x_j - x_i], dim=-1)) 2025-09-07T08:14:43.3211914Z 2025-09-07T08:14:43.3212021Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:14:43.3212355Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:14:43.3212666Z return mod(*inputs) 2025-09-07T08:14:43.3212988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:14:43.3213335Z x = self.convs[i](x, edge_index) 2025-09-07T08:14:43.3213566Z File "/tmp/jenkins_pyg/tmpkqozpnyq.py", line 233, in forward 2025-09-07T08:14:43.3213813Z return self.propagate(edge_index, x=x, size=None) 2025-09-07T08:14:43.3214072Z File "/tmp/jenkins_pyg/tmpkqozpnyq.py", line 191, in propagate 2025-09-07T08:14:43.3214328Z out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i) 2025-09-07T08:14:43.3214690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message 2025-09-07T08:14:43.3215044Z return self.nn(torch.cat([x_i, x_j - x_i], dim=-1)) 2025-09-07T08:14:43.3215395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward 2025-09-07T08:14:43.3218393Z x = self.act(x) 2025-09-07T08:14:43.3218485Z 2025-09-07T08:14:43.3218595Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:14:43.3218941Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:14:43.3219244Z return mod(*inputs) 2025-09-07T08:14:43.3219614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:14:43.3219964Z x = self.convs[i](x, edge_index) 2025-09-07T08:14:43.3220199Z File "/tmp/jenkins_pyg/tmpkqozpnyq.py", line 233, in forward 2025-09-07T08:14:43.3220448Z return self.propagate(edge_index, x=x, size=None) 2025-09-07T08:14:43.3220713Z File "/tmp/jenkins_pyg/tmpkqozpnyq.py", line 191, in propagate 2025-09-07T08:14:43.3220970Z out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i) 2025-09-07T08:14:43.3221336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message 2025-09-07T08:14:43.3221697Z return self.nn(torch.cat([x_i, x_j - x_i], dim=-1)) 2025-09-07T08:14:43.3222057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward 2025-09-07T08:14:43.3222384Z x = self.act(x) 2025-09-07T08:14:43.3222475Z 2025-09-07T08:14:43.3222584Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:14:43.3222926Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:14:43.3223228Z return mod(*inputs) 2025-09-07T08:14:43.3223553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:14:43.3223898Z x = self.convs[i](x, edge_index) 2025-09-07T08:14:43.3224128Z File "/tmp/jenkins_pyg/tmpkqozpnyq.py", line 233, in forward 2025-09-07T08:14:43.3224372Z return self.propagate(edge_index, x=x, size=None) 2025-09-07T08:14:43.3224633Z File "/tmp/jenkins_pyg/tmpkqozpnyq.py", line 191, in propagate 2025-09-07T08:14:43.3224887Z out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i) 2025-09-07T08:14:43.3225251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message 2025-09-07T08:14:43.3225616Z return self.nn(torch.cat([x_i, x_j - x_i], dim=-1)) 2025-09-07T08:14:43.3225964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward 2025-09-07T08:14:43.3226296Z x = self.lins[-1](x) 2025-09-07T08:14:43.3226610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward 2025-09-07T08:14:43.3226965Z return F.linear(x, self.weight, self.bias) 2025-09-07T08:14:43.3227101Z 2025-09-07T08:14:43.3227208Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:14:43.3227541Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:14:43.3227851Z return mod(*inputs) 2025-09-07T08:14:43.3228173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:14:43.3228519Z x = self.convs[i](x, edge_index) 2025-09-07T08:14:43.3228746Z File "/tmp/jenkins_pyg/tmpkqozpnyq.py", line 233, in forward 2025-09-07T08:14:43.3229002Z return self.propagate(edge_index, x=x, size=None) 2025-09-07T08:14:43.3229264Z File "/tmp/jenkins_pyg/tmpkqozpnyq.py", line 191, in propagate 2025-09-07T08:14:43.3229518Z out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i) 2025-09-07T08:14:43.3229867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message 2025-09-07T08:14:43.3230229Z return self.nn(torch.cat([x_i, x_j - x_i], dim=-1)) 2025-09-07T08:14:43.3230587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward 2025-09-07T08:14:43.3230959Z x = self.lins[-1](x) 2025-09-07T08:14:43.3231275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward 2025-09-07T08:14:43.3231622Z return F.linear(x, self.weight, self.bias) 2025-09-07T08:14:43.3231767Z 2025-09-07T08:14:43.3231847Z cudagraph partition due to non gpu ops 2025-09-07T08:14:43.3232107Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:14:43.3232450Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:14:43.3232761Z return mod(*inputs) 2025-09-07T08:14:43.3233075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:14:43.3233422Z x = self.convs[i](x, edge_index) 2025-09-07T08:14:43.3233651Z File "/tmp/jenkins_pyg/tmpgb_ul332.py", line 233, in forward 2025-09-07T08:14:43.3233908Z return self.propagate(edge_index, x=x, size=None) 2025-09-07T08:14:43.3234160Z File "/tmp/jenkins_pyg/tmpgb_ul332.py", line 191, in propagate 2025-09-07T08:14:43.3234413Z out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i) 2025-09-07T08:14:43.3234776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message 2025-09-07T08:14:43.3235147Z return self.nn(torch.cat([x_i, x_j - x_i], dim=-1)) 2025-09-07T08:14:43.3235291Z 2025-09-07T08:14:43.3235396Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:14:43.3235733Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:14:43.3236045Z return mod(*inputs) 2025-09-07T08:14:43.3236369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:14:43.3236722Z x = self.convs[i](x, edge_index) 2025-09-07T08:14:43.3236942Z File "/tmp/jenkins_pyg/tmpgb_ul332.py", line 233, in forward 2025-09-07T08:14:43.3237197Z return self.propagate(edge_index, x=x, size=None) 2025-09-07T08:14:43.3237459Z File "/tmp/jenkins_pyg/tmpgb_ul332.py", line 191, in propagate 2025-09-07T08:14:43.3237715Z out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i) 2025-09-07T08:14:43.3238073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message 2025-09-07T08:14:43.3238441Z return self.nn(torch.cat([x_i, x_j - x_i], dim=-1)) 2025-09-07T08:14:43.3238804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward 2025-09-07T08:14:43.3239134Z x = self.act(x) 2025-09-07T08:14:43.3239225Z 2025-09-07T08:14:43.3239331Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:14:43.3239667Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:14:43.3239982Z return mod(*inputs) 2025-09-07T08:14:43.3240308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:14:43.3240668Z x = self.convs[i](x, edge_index) 2025-09-07T08:14:43.3240898Z File "/tmp/jenkins_pyg/tmpgb_ul332.py", line 233, in forward 2025-09-07T08:14:43.3241147Z return self.propagate(edge_index, x=x, size=None) 2025-09-07T08:14:43.3241410Z File "/tmp/jenkins_pyg/tmpgb_ul332.py", line 191, in propagate 2025-09-07T08:14:43.3241666Z out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i) 2025-09-07T08:14:43.3242034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message 2025-09-07T08:14:43.3242398Z return self.nn(torch.cat([x_i, x_j - x_i], dim=-1)) 2025-09-07T08:14:43.3242759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward 2025-09-07T08:14:43.3243088Z x = self.act(x) 2025-09-07T08:14:43.3243179Z 2025-09-07T08:14:43.3243290Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:14:43.3243674Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:14:43.3243974Z return mod(*inputs) 2025-09-07T08:14:43.3244290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:14:43.3244680Z x = self.convs[i](x, edge_index) 2025-09-07T08:14:43.3244910Z File "/tmp/jenkins_pyg/tmpgb_ul332.py", line 233, in forward 2025-09-07T08:14:43.3245171Z return self.propagate(edge_index, x=x, size=None) 2025-09-07T08:14:43.3245430Z File "/tmp/jenkins_pyg/tmpgb_ul332.py", line 191, in propagate 2025-09-07T08:14:43.3245686Z out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i) 2025-09-07T08:14:43.3246049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message 2025-09-07T08:14:43.3246413Z return self.nn(torch.cat([x_i, x_j - x_i], dim=-1)) 2025-09-07T08:14:43.3246763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward 2025-09-07T08:14:43.3247097Z x = self.lins[-1](x) 2025-09-07T08:14:43.3247415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward 2025-09-07T08:14:43.3247774Z return F.linear(x, self.weight, self.bias) 2025-09-07T08:14:43.3247912Z 2025-09-07T08:14:43.3248012Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:14:43.3248352Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:14:43.3248665Z return mod(*inputs) 2025-09-07T08:14:43.3248987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:14:43.3249337Z x = self.convs[i](x, edge_index) 2025-09-07T08:14:43.3249558Z File "/tmp/jenkins_pyg/tmpgb_ul332.py", line 233, in forward 2025-09-07T08:14:43.3249812Z return self.propagate(edge_index, x=x, size=None) 2025-09-07T08:14:43.3250073Z File "/tmp/jenkins_pyg/tmpgb_ul332.py", line 191, in propagate 2025-09-07T08:14:43.3250329Z out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i) 2025-09-07T08:14:43.3250681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message 2025-09-07T08:14:43.3251050Z return self.nn(torch.cat([x_i, x_j - x_i], dim=-1)) 2025-09-07T08:14:43.3251406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward 2025-09-07T08:14:43.3251736Z x = self.lins[-1](x) 2025-09-07T08:14:43.3252050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward 2025-09-07T08:14:43.3252392Z return F.linear(x, self.weight, self.bias) 2025-09-07T08:14:43.3252535Z 2025-09-07T08:14:43.3252614Z cudagraph partition due to non gpu ops 2025-09-07T08:14:51.2328778Z pass 2025-09-07T08:14:51.2329236Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:14:52.7288190Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:14:52.7289703Z import pynvml # type: ignore[import] 2025-09-07T08:14:54.4305577Z 2025-09-07T08:14:55.5396050Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:14:55.5396441Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:14:55.5396784Z cpu eval basic_gnn_gcn 2025-09-07T08:14:55.5793501Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:14:55.5997202Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:14:55.6176932Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:14:56.6830257Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:14:56.6830747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/loop.py", line 340, in add_remaining_self_loops 2025-09-07T08:14:56.6831487Z mask = edge_index[0] != edge_index[1] 2025-09-07T08:14:56.6831653Z 2025-09-07T08:14:56.6831758Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:14:56.6832171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/loop.py", line 343, in add_remaining_self_loops 2025-09-07T08:14:56.6832569Z loop_index = loop_index.unsqueeze(0).repeat(2, 1) 2025-09-07T08:14:56.6832713Z 2025-09-07T08:15:03.7529526Z cudagraph partition due to non gpu ops 2025-09-07T08:15:03.7529872Z cudagraph partition due to non gpu ops 2025-09-07T08:15:03.7530122Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:03.7530677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/loop.py", line 370, in torch_dynamo_resume_in_add_remaining_self_loops_at_370 2025-09-07T08:15:03.7531170Z edge_index = torch.cat([edge_index[:, mask], loop_index], dim=1) 2025-09-07T08:15:03.7531345Z 2025-09-07T08:15:03.8938157Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:03.8938770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/gcn_conv.py", line 100, in torch_dynamo_resume_in_gcn_norm_at_91 2025-09-07T08:15:03.8939356Z deg = scatter(edge_weight, idx, dim=0, dim_size=num_nodes, reduce='sum') 2025-09-07T08:15:03.8939801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter 2025-09-07T08:15:03.8940184Z return src.new_zeros(size).scatter_add_(dim, index, src) 2025-09-07T08:15:03.8940346Z 2025-09-07T08:15:03.8940460Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:03.8940897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/gcn_conv.py", line 95, in torch_dynamo_resume_in_gcn_norm_at_91 2025-09-07T08:15:03.8941352Z edge_weight = torch.ones((edge_index.size(1), ), dtype=dtype, 2025-09-07T08:15:03.8941531Z 2025-09-07T08:15:03.8941614Z cudagraph partition due to non gpu ops 2025-09-07T08:15:03.8941857Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:03.8942289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/gcn_conv.py", line 103, in torch_dynamo_resume_in_gcn_norm_at_91 2025-09-07T08:15:03.8942734Z edge_weight = deg_inv_sqrt[row] * edge_weight * deg_inv_sqrt[col] 2025-09-07T08:15:03.8942912Z 2025-09-07T08:15:04.0738275Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:04.0738833Z File "/tmp/jenkins_pyg/tmpadkmr125.py", line 240, in torch_dynamo_resume_in_forward_at_221 2025-09-07T08:15:04.0739229Z x = self.lin(x) 2025-09-07T08:15:04.0739591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward 2025-09-07T08:15:04.0739968Z return F.linear(x, self.weight, self.bias) 2025-09-07T08:15:04.0740111Z 2025-09-07T08:15:04.0740217Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:04.0740547Z File "/tmp/jenkins_pyg/tmpadkmr125.py", line 243, in torch_dynamo_resume_in_forward_at_221 2025-09-07T08:15:04.0740887Z out = self.propagate(edge_index, x=x, edge_weight=edge_weight, 2025-09-07T08:15:04.0741184Z File "/tmp/jenkins_pyg/tmpadkmr125.py", line 188, in propagate 2025-09-07T08:15:04.0741517Z out = self.aggregate(out, ptr=kwargs.ptr, index=kwargs.index, dim_size=kwargs.dim_size) 2025-09-07T08:15:04.0741972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate 2025-09-07T08:15:04.0742405Z return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size, 2025-09-07T08:15:04.0743022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__ 2025-09-07T08:15:04.0743414Z return super().__call__(x, index, ptr, dim_size, dim, **kwargs) 2025-09-07T08:15:04.0743792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 21, in forward 2025-09-07T08:15:04.0744249Z return self.reduce(x, index, ptr, dim_size, dim, reduce='sum') 2025-09-07T08:15:04.0744630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce 2025-09-07T08:15:04.0744983Z return scatter(x, index, dim, dim_size, reduce) 2025-09-07T08:15:04.0745339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter 2025-09-07T08:15:04.0745700Z return src.new_zeros(size).scatter_add_(dim, index, src) 2025-09-07T08:15:04.0745865Z 2025-09-07T08:15:04.0745965Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:04.0746283Z File "/tmp/jenkins_pyg/tmpadkmr125.py", line 240, in torch_dynamo_resume_in_forward_at_221 2025-09-07T08:15:04.0746572Z x = self.lin(x) 2025-09-07T08:15:04.0746878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward 2025-09-07T08:15:04.0747228Z return F.linear(x, self.weight, self.bias) 2025-09-07T08:15:04.0747372Z 2025-09-07T08:15:04.0747471Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:04.0747784Z File "/tmp/jenkins_pyg/tmpadkmr125.py", line 240, in torch_dynamo_resume_in_forward_at_221 2025-09-07T08:15:04.0748063Z x = self.lin(x) 2025-09-07T08:15:04.0748369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward 2025-09-07T08:15:04.0748712Z return F.linear(x, self.weight, self.bias) 2025-09-07T08:15:04.0748861Z 2025-09-07T08:15:04.0748961Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:04.0749272Z File "/tmp/jenkins_pyg/tmpadkmr125.py", line 243, in torch_dynamo_resume_in_forward_at_221 2025-09-07T08:15:04.0749608Z out = self.propagate(edge_index, x=x, edge_weight=edge_weight, 2025-09-07T08:15:04.0749892Z File "/tmp/jenkins_pyg/tmpadkmr125.py", line 187, in propagate 2025-09-07T08:15:04.0750177Z out = self.message(edge_weight=kwargs.edge_weight, x_j=kwargs.x_j) 2025-09-07T08:15:04.0750568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/gcn_conv.py", line 241, in message 2025-09-07T08:15:04.0750961Z return x_j if edge_weight is None else edge_weight.view(-1, 1) * x_j 2025-09-07T08:15:04.0751132Z 2025-09-07T08:15:04.0751221Z cudagraph partition due to non gpu ops 2025-09-07T08:15:04.0751441Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:04.0751754Z File "/tmp/jenkins_pyg/tmpadkmr125.py", line 247, in torch_dynamo_resume_in_forward_at_221 2025-09-07T08:15:04.0752037Z out = out + self.bias 2025-09-07T08:15:04.0752147Z 2025-09-07T08:15:05.3041781Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:05.3042154Z File "/tmp/jenkins_pyg/tmp8p352_ou.py", line 240, in torch_dynamo_resume_in_forward_at_221 2025-09-07T08:15:05.3042448Z x = self.lin(x) 2025-09-07T08:15:05.3042806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward 2025-09-07T08:15:05.3043174Z return F.linear(x, self.weight, self.bias) 2025-09-07T08:15:05.3043319Z 2025-09-07T08:15:05.3043435Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:05.3043813Z File "/tmp/jenkins_pyg/tmp8p352_ou.py", line 243, in torch_dynamo_resume_in_forward_at_221 2025-09-07T08:15:05.3044144Z out = self.propagate(edge_index, x=x, edge_weight=edge_weight, 2025-09-07T08:15:05.3044435Z File "/tmp/jenkins_pyg/tmp8p352_ou.py", line 188, in propagate 2025-09-07T08:15:05.3044767Z out = self.aggregate(out, ptr=kwargs.ptr, index=kwargs.index, dim_size=kwargs.dim_size) 2025-09-07T08:15:05.3045456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate 2025-09-07T08:15:05.3045885Z return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size, 2025-09-07T08:15:05.3046356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__ 2025-09-07T08:15:05.3046742Z return super().__call__(x, index, ptr, dim_size, dim, **kwargs) 2025-09-07T08:15:05.3047123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 21, in forward 2025-09-07T08:15:05.3047507Z return self.reduce(x, index, ptr, dim_size, dim, reduce='sum') 2025-09-07T08:15:05.3047881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce 2025-09-07T08:15:05.3048230Z return scatter(x, index, dim, dim_size, reduce) 2025-09-07T08:15:05.3048586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter 2025-09-07T08:15:05.3048963Z return src.new_zeros(size).scatter_add_(dim, index, src) 2025-09-07T08:15:05.3049121Z 2025-09-07T08:15:05.3049249Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:05.3049565Z File "/tmp/jenkins_pyg/tmp8p352_ou.py", line 240, in torch_dynamo_resume_in_forward_at_221 2025-09-07T08:15:05.3049840Z x = self.lin(x) 2025-09-07T08:15:05.3050149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward 2025-09-07T08:15:05.3050508Z return F.linear(x, self.weight, self.bias) 2025-09-07T08:15:05.3050642Z 2025-09-07T08:15:05.3050750Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:05.3051058Z File "/tmp/jenkins_pyg/tmp8p352_ou.py", line 240, in torch_dynamo_resume_in_forward_at_221 2025-09-07T08:15:05.3051324Z x = self.lin(x) 2025-09-07T08:15:05.3051631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward 2025-09-07T08:15:05.3051993Z return F.linear(x, self.weight, self.bias) 2025-09-07T08:15:05.3052128Z 2025-09-07T08:15:05.3052237Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:05.3052543Z File "/tmp/jenkins_pyg/tmp8p352_ou.py", line 243, in torch_dynamo_resume_in_forward_at_221 2025-09-07T08:15:05.3052868Z out = self.propagate(edge_index, x=x, edge_weight=edge_weight, 2025-09-07T08:15:05.3053154Z File "/tmp/jenkins_pyg/tmp8p352_ou.py", line 187, in propagate 2025-09-07T08:15:05.3053441Z out = self.message(edge_weight=kwargs.edge_weight, x_j=kwargs.x_j) 2025-09-07T08:15:05.3053832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/gcn_conv.py", line 241, in message 2025-09-07T08:15:05.3054229Z return x_j if edge_weight is None else edge_weight.view(-1, 1) * x_j 2025-09-07T08:15:05.3054409Z 2025-09-07T08:15:05.3054491Z cudagraph partition due to non gpu ops 2025-09-07T08:15:05.3054721Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:05.3055028Z File "/tmp/jenkins_pyg/tmp8p352_ou.py", line 247, in torch_dynamo_resume_in_forward_at_221 2025-09-07T08:15:05.3055302Z out = out + self.bias 2025-09-07T08:15:05.3055411Z 2025-09-07T08:15:05.4865769Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:05.4866197Z File "/tmp/jenkins_pyg/tmp8pd_u0j9.py", line 240, in torch_dynamo_resume_in_forward_at_221 2025-09-07T08:15:05.4866525Z x = self.lin(x) 2025-09-07T08:15:05.4866950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward 2025-09-07T08:15:05.4867370Z return F.linear(x, self.weight, self.bias) 2025-09-07T08:15:05.4867530Z 2025-09-07T08:15:05.4867642Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:05.4868057Z File "/tmp/jenkins_pyg/tmp8pd_u0j9.py", line 243, in torch_dynamo_resume_in_forward_at_221 2025-09-07T08:15:05.4868639Z out = self.propagate(edge_index, x=x, edge_weight=edge_weight, 2025-09-07T08:15:05.4868937Z File "/tmp/jenkins_pyg/tmp8pd_u0j9.py", line 188, in propagate 2025-09-07T08:15:05.4869274Z out = self.aggregate(out, ptr=kwargs.ptr, index=kwargs.index, dim_size=kwargs.dim_size) 2025-09-07T08:15:05.4869816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate 2025-09-07T08:15:05.4870252Z return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size, 2025-09-07T08:15:05.4870650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__ 2025-09-07T08:15:05.4871042Z return super().__call__(x, index, ptr, dim_size, dim, **kwargs) 2025-09-07T08:15:05.4871418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 21, in forward 2025-09-07T08:15:05.4871805Z return self.reduce(x, index, ptr, dim_size, dim, reduce='sum') 2025-09-07T08:15:05.4872197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce 2025-09-07T08:15:05.4872603Z return scatter(x, index, dim, dim_size, reduce) 2025-09-07T08:15:05.4872961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter 2025-09-07T08:15:05.4873342Z return src.new_zeros(size).scatter_add_(dim, index, src) 2025-09-07T08:15:05.4873511Z 2025-09-07T08:15:05.4873619Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:05.4873939Z File "/tmp/jenkins_pyg/tmp8pd_u0j9.py", line 240, in torch_dynamo_resume_in_forward_at_221 2025-09-07T08:15:05.4874221Z x = self.lin(x) 2025-09-07T08:15:05.4874539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward 2025-09-07T08:15:05.4874908Z return F.linear(x, self.weight, self.bias) 2025-09-07T08:15:05.4875047Z 2025-09-07T08:15:05.4875164Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:05.4875481Z File "/tmp/jenkins_pyg/tmp8pd_u0j9.py", line 240, in torch_dynamo_resume_in_forward_at_221 2025-09-07T08:15:05.4875755Z x = self.lin(x) 2025-09-07T08:15:05.4876072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward 2025-09-07T08:15:05.4876430Z return F.linear(x, self.weight, self.bias) 2025-09-07T08:15:05.4876566Z 2025-09-07T08:15:05.4876677Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:05.4876992Z File "/tmp/jenkins_pyg/tmp8pd_u0j9.py", line 243, in torch_dynamo_resume_in_forward_at_221 2025-09-07T08:15:05.4877324Z out = self.propagate(edge_index, x=x, edge_weight=edge_weight, 2025-09-07T08:15:05.4877615Z File "/tmp/jenkins_pyg/tmp8pd_u0j9.py", line 187, in propagate 2025-09-07T08:15:05.4877914Z out = self.message(edge_weight=kwargs.edge_weight, x_j=kwargs.x_j) 2025-09-07T08:15:05.4878315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/gcn_conv.py", line 241, in message 2025-09-07T08:15:05.4878714Z return x_j if edge_weight is None else edge_weight.view(-1, 1) * x_j 2025-09-07T08:15:05.4878898Z 2025-09-07T08:15:05.4878983Z cudagraph partition due to non gpu ops 2025-09-07T08:15:05.4879220Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:05.4879533Z File "/tmp/jenkins_pyg/tmp8pd_u0j9.py", line 247, in torch_dynamo_resume_in_forward_at_221 2025-09-07T08:15:05.4879819Z out = out + self.bias 2025-09-07T08:15:05.4879931Z 2025-09-07T08:15:05.6024361Z pass 2025-09-07T08:15:05.6024758Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:07.1233316Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:15:07.1235130Z import pynvml # type: ignore[import] 2025-09-07T08:15:08.8333286Z 2025-09-07T08:15:09.9264586Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:15:09.9264970Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:15:09.9265743Z cpu eval basic_gnn_gin 2025-09-07T08:15:09.9475169Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:09.9610482Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:09.9728126Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:11.2316852Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:11.2317275Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:11.2317613Z return mod(*inputs) 2025-09-07T08:15:11.2318022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:11.2318388Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:11.2318635Z File "/tmp/jenkins_pyg/tmp48zmnc73.py", line 225, in forward 2025-09-07T08:15:11.2318915Z out = self.propagate(edge_index, x=x, size=size) 2025-09-07T08:15:11.2319180Z File "/tmp/jenkins_pyg/tmp48zmnc73.py", line 182, in propagate 2025-09-07T08:15:11.2319507Z out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr) 2025-09-07T08:15:11.2319971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate 2025-09-07T08:15:11.2320400Z return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size, 2025-09-07T08:15:11.2320795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__ 2025-09-07T08:15:11.2321183Z return super().__call__(x, index, ptr, dim_size, dim, **kwargs) 2025-09-07T08:15:11.2321559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 21, in forward 2025-09-07T08:15:11.2321943Z return self.reduce(x, index, ptr, dim_size, dim, reduce='sum') 2025-09-07T08:15:11.2322323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce 2025-09-07T08:15:11.2322681Z return scatter(x, index, dim, dim_size, reduce) 2025-09-07T08:15:11.2323025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter 2025-09-07T08:15:11.2323400Z return src.new_zeros(size).scatter_add_(dim, index, src) 2025-09-07T08:15:11.2323567Z 2025-09-07T08:15:11.2323674Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:11.2324022Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:11.2324337Z return mod(*inputs) 2025-09-07T08:15:11.2324656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:11.2325010Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:11.2325250Z File "/tmp/jenkins_pyg/tmp48zmnc73.py", line 225, in forward 2025-09-07T08:15:11.2325508Z out = self.propagate(edge_index, x=x, size=size) 2025-09-07T08:15:11.2325818Z File "/tmp/jenkins_pyg/tmp48zmnc73.py", line 180, in propagate 2025-09-07T08:15:11.2326088Z kwargs = self._collect(edge_index, the_size, in_kwargs) 2025-09-07T08:15:11.2326355Z File "/tmp/jenkins_pyg/tmp48zmnc73.py", line 127, in _collect 2025-09-07T08:15:11.2326581Z x_j = self._lift(x_j, edge_def, j) 2025-09-07T08:15:11.2326809Z File "/tmp/jenkins_pyg/tmp48zmnc73.py", line 87, in _lift 2025-09-07T08:15:11.2327058Z return src.index_select(self.node_dim, index) 2025-09-07T08:15:11.2327197Z 2025-09-07T08:15:11.2327308Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:11.2327934Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:11.2328248Z return mod(*inputs) 2025-09-07T08:15:11.2328578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:11.2329012Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:11.2329239Z File "/tmp/jenkins_pyg/tmp_b5vq42t.py", line 225, in forward 2025-09-07T08:15:11.2329492Z out = self.propagate(edge_index, x=x, size=size) 2025-09-07T08:15:11.2329748Z File "/tmp/jenkins_pyg/tmp_b5vq42t.py", line 182, in propagate 2025-09-07T08:15:11.2330072Z out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr) 2025-09-07T08:15:11.2330531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate 2025-09-07T08:15:11.2330946Z return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size, 2025-09-07T08:15:11.2331336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__ 2025-09-07T08:15:11.2331717Z return super().__call__(x, index, ptr, dim_size, dim, **kwargs) 2025-09-07T08:15:11.2332088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 21, in forward 2025-09-07T08:15:11.2332472Z return self.reduce(x, index, ptr, dim_size, dim, reduce='sum') 2025-09-07T08:15:11.2332842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce 2025-09-07T08:15:11.2333202Z return scatter(x, index, dim, dim_size, reduce) 2025-09-07T08:15:11.2333558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter 2025-09-07T08:15:11.2333933Z return src.new_zeros(size).scatter_add_(dim, index, src) 2025-09-07T08:15:11.2334089Z 2025-09-07T08:15:11.2334203Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:11.2334539Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:11.2334847Z return mod(*inputs) 2025-09-07T08:15:11.2335181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:11.2335533Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:11.2335759Z File "/tmp/jenkins_pyg/tmpe4liv037.py", line 225, in forward 2025-09-07T08:15:11.2336015Z out = self.propagate(edge_index, x=x, size=size) 2025-09-07T08:15:11.2336273Z File "/tmp/jenkins_pyg/tmpe4liv037.py", line 182, in propagate 2025-09-07T08:15:11.2336595Z out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr) 2025-09-07T08:15:11.2337054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate 2025-09-07T08:15:11.2337472Z return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size, 2025-09-07T08:15:11.2337857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__ 2025-09-07T08:15:11.2338239Z return super().__call__(x, index, ptr, dim_size, dim, **kwargs) 2025-09-07T08:15:11.2338610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 21, in forward 2025-09-07T08:15:11.2338984Z return self.reduce(x, index, ptr, dim_size, dim, reduce='sum') 2025-09-07T08:15:11.2339357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce 2025-09-07T08:15:11.2339711Z return scatter(x, index, dim, dim_size, reduce) 2025-09-07T08:15:11.2340063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter 2025-09-07T08:15:11.2340431Z return src.new_zeros(size).scatter_add_(dim, index, src) 2025-09-07T08:15:11.2340626Z 2025-09-07T08:15:11.2340706Z cudagraph partition due to non gpu ops 2025-09-07T08:15:11.2340941Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:11.2341280Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:11.2341585Z return mod(*inputs) 2025-09-07T08:15:11.2341931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:11.2342270Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:11.2342502Z File "/tmp/jenkins_pyg/tmp48zmnc73.py", line 231, in forward 2025-09-07T08:15:11.2342731Z return self.nn(out) 2025-09-07T08:15:11.2343040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward 2025-09-07T08:15:11.2343353Z x = lin(x) 2025-09-07T08:15:11.2343652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward 2025-09-07T08:15:11.2344008Z return F.linear(x, self.weight, self.bias) 2025-09-07T08:15:11.2344143Z 2025-09-07T08:15:11.2344249Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:11.2344589Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:11.2344890Z return mod(*inputs) 2025-09-07T08:15:11.2345209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:11.2345556Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:11.2345785Z File "/tmp/jenkins_pyg/tmp48zmnc73.py", line 231, in forward 2025-09-07T08:15:11.2345999Z return self.nn(out) 2025-09-07T08:15:11.2346305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward 2025-09-07T08:15:11.2346631Z x = self.act(x) 2025-09-07T08:15:11.2346720Z 2025-09-07T08:15:11.2346827Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:11.2347165Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:11.2347474Z return mod(*inputs) 2025-09-07T08:15:11.2347796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:11.2348146Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:11.2348377Z File "/tmp/jenkins_pyg/tmp48zmnc73.py", line 231, in forward 2025-09-07T08:15:11.2348590Z return self.nn(out) 2025-09-07T08:15:11.2348902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward 2025-09-07T08:15:11.2349225Z x = self.act(x) 2025-09-07T08:15:11.2349315Z 2025-09-07T08:15:11.2349422Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:11.2349754Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:11.2350060Z return mod(*inputs) 2025-09-07T08:15:11.2350381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 234, in forward 2025-09-07T08:15:11.2350715Z x = self.act(x) 2025-09-07T08:15:11.2350803Z 2025-09-07T08:15:11.2350907Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:11.2351238Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:11.2351542Z return mod(*inputs) 2025-09-07T08:15:11.2351858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 234, in forward 2025-09-07T08:15:11.2352191Z x = self.act(x) 2025-09-07T08:15:11.2352279Z 2025-09-07T08:15:11.2352378Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:11.2352712Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:11.2353013Z return mod(*inputs) 2025-09-07T08:15:11.2353426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:11.2353784Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:11.2354017Z File "/tmp/jenkins_pyg/tmp_b5vq42t.py", line 225, in forward 2025-09-07T08:15:11.2354302Z out = self.propagate(edge_index, x=x, size=size) 2025-09-07T08:15:11.2354567Z File "/tmp/jenkins_pyg/tmp_b5vq42t.py", line 180, in propagate 2025-09-07T08:15:11.2354837Z kwargs = self._collect(edge_index, the_size, in_kwargs) 2025-09-07T08:15:11.2355098Z File "/tmp/jenkins_pyg/tmp_b5vq42t.py", line 127, in _collect 2025-09-07T08:15:11.2355336Z x_j = self._lift(x_j, edge_def, j) 2025-09-07T08:15:11.2355567Z File "/tmp/jenkins_pyg/tmp_b5vq42t.py", line 87, in _lift 2025-09-07T08:15:11.2355814Z return src.index_select(self.node_dim, index) 2025-09-07T08:15:11.2355956Z 2025-09-07T08:15:11.2356042Z cudagraph partition due to non gpu ops 2025-09-07T08:15:11.2356266Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:11.2356614Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:11.2357003Z return mod(*inputs) 2025-09-07T08:15:11.2357330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:11.2357672Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:11.2357904Z File "/tmp/jenkins_pyg/tmp_b5vq42t.py", line 231, in forward 2025-09-07T08:15:11.2358127Z return self.nn(out) 2025-09-07T08:15:11.2358443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward 2025-09-07T08:15:11.2358760Z x = lin(x) 2025-09-07T08:15:11.2359060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward 2025-09-07T08:15:11.2359416Z return F.linear(x, self.weight, self.bias) 2025-09-07T08:15:11.2359556Z 2025-09-07T08:15:11.2359671Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:11.2360011Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:11.2360314Z return mod(*inputs) 2025-09-07T08:15:11.2360642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:11.2360990Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:11.2361221Z File "/tmp/jenkins_pyg/tmp_b5vq42t.py", line 231, in forward 2025-09-07T08:15:11.2361442Z return self.nn(out) 2025-09-07T08:15:11.2361748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward 2025-09-07T08:15:11.2362078Z x = self.act(x) 2025-09-07T08:15:11.2362189Z 2025-09-07T08:15:11.2362299Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:11.2362635Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:11.2362937Z return mod(*inputs) 2025-09-07T08:15:11.2363257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:11.2363604Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:11.2363837Z File "/tmp/jenkins_pyg/tmp_b5vq42t.py", line 231, in forward 2025-09-07T08:15:11.2364053Z return self.nn(out) 2025-09-07T08:15:11.2364358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward 2025-09-07T08:15:11.2364685Z x = self.act(x) 2025-09-07T08:15:11.2364776Z 2025-09-07T08:15:11.2364883Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:11.2365219Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:11.2365517Z return mod(*inputs) 2025-09-07T08:15:11.2365839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 234, in forward 2025-09-07T08:15:11.2367227Z x = self.act(x) 2025-09-07T08:15:11.2367317Z 2025-09-07T08:15:11.2367427Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:11.2367757Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:11.2368150Z return mod(*inputs) 2025-09-07T08:15:11.2368476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 234, in forward 2025-09-07T08:15:11.2368819Z x = self.act(x) 2025-09-07T08:15:11.2368910Z 2025-09-07T08:15:11.2369015Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:11.2369350Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:11.2369664Z return mod(*inputs) 2025-09-07T08:15:11.2369986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:11.2370340Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:11.2370570Z File "/tmp/jenkins_pyg/tmpe4liv037.py", line 225, in forward 2025-09-07T08:15:11.2370836Z out = self.propagate(edge_index, x=x, size=size) 2025-09-07T08:15:11.2371105Z File "/tmp/jenkins_pyg/tmpe4liv037.py", line 180, in propagate 2025-09-07T08:15:11.2371380Z kwargs = self._collect(edge_index, the_size, in_kwargs) 2025-09-07T08:15:11.2371642Z File "/tmp/jenkins_pyg/tmpe4liv037.py", line 127, in _collect 2025-09-07T08:15:11.2371882Z x_j = self._lift(x_j, edge_def, j) 2025-09-07T08:15:11.2372115Z File "/tmp/jenkins_pyg/tmpe4liv037.py", line 87, in _lift 2025-09-07T08:15:11.2372368Z return src.index_select(self.node_dim, index) 2025-09-07T08:15:11.2372509Z 2025-09-07T08:15:11.2372596Z cudagraph partition due to non gpu ops 2025-09-07T08:15:11.2372822Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:11.2373166Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:11.2373479Z return mod(*inputs) 2025-09-07T08:15:11.2373810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:11.2374163Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:11.2374404Z File "/tmp/jenkins_pyg/tmpe4liv037.py", line 231, in forward 2025-09-07T08:15:11.2374634Z return self.nn(out) 2025-09-07T08:15:11.2374949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward 2025-09-07T08:15:11.2375279Z x = lin(x) 2025-09-07T08:15:11.2375575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward 2025-09-07T08:15:11.2375940Z return F.linear(x, self.weight, self.bias) 2025-09-07T08:15:11.2376081Z 2025-09-07T08:15:11.2376190Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:11.2376537Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:11.2376845Z return mod(*inputs) 2025-09-07T08:15:11.2377170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:11.2377522Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:11.2377761Z File "/tmp/jenkins_pyg/tmpe4liv037.py", line 231, in forward 2025-09-07T08:15:11.2377990Z return self.nn(out) 2025-09-07T08:15:11.2378298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward 2025-09-07T08:15:11.2378626Z x = self.act(x) 2025-09-07T08:15:11.2378718Z 2025-09-07T08:15:11.2378828Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:11.2379169Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:11.2379473Z return mod(*inputs) 2025-09-07T08:15:11.2379804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:11.2380199Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:11.2380429Z File "/tmp/jenkins_pyg/tmpe4liv037.py", line 231, in forward 2025-09-07T08:15:11.2380642Z return self.nn(out) 2025-09-07T08:15:11.2380981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward 2025-09-07T08:15:11.2381315Z x = self.act(x) 2025-09-07T08:15:11.2381406Z 2025-09-07T08:15:11.2381516Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:11.2381852Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:11.2382149Z return mod(*inputs) 2025-09-07T08:15:11.2382472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:11.2382825Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:11.2383059Z File "/tmp/jenkins_pyg/tmpe4liv037.py", line 231, in forward 2025-09-07T08:15:11.2383274Z return self.nn(out) 2025-09-07T08:15:11.2383579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward 2025-09-07T08:15:11.2383912Z x = self.lins[-1](x) 2025-09-07T08:15:11.2384232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward 2025-09-07T08:15:11.2384583Z return F.linear(x, self.weight, self.bias) 2025-09-07T08:15:11.2384718Z 2025-09-07T08:15:11.2384815Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:11.2385156Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:11.2385459Z return mod(*inputs) 2025-09-07T08:15:11.2385778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:11.2386121Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:11.2386351Z File "/tmp/jenkins_pyg/tmpe4liv037.py", line 231, in forward 2025-09-07T08:15:11.2386576Z return self.nn(out) 2025-09-07T08:15:11.2386882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward 2025-09-07T08:15:11.2387212Z x = self.lins[-1](x) 2025-09-07T08:15:11.2387523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward 2025-09-07T08:15:11.2387877Z return F.linear(x, self.weight, self.bias) 2025-09-07T08:15:11.2388020Z 2025-09-07T08:15:19.0659762Z pass 2025-09-07T08:15:19.0660195Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:20.6636019Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:15:20.6637478Z import pynvml # type: ignore[import] 2025-09-07T08:15:22.3705170Z 2025-09-07T08:15:23.4608950Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:15:23.4609354Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:15:23.4609733Z cpu eval basic_gnn_sage 2025-09-07T08:15:23.4829320Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:23.4967091Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:23.5088720Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:24.7195721Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:24.7196229Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:24.7196559Z return mod(*inputs) 2025-09-07T08:15:24.7197256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:24.7197629Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:24.7197871Z File "/tmp/jenkins_pyg/tmpdk0ezfds.py", line 228, in forward 2025-09-07T08:15:24.7198229Z out = self.propagate(edge_index, x=x, size=size) 2025-09-07T08:15:24.7198501Z File "/tmp/jenkins_pyg/tmpdk0ezfds.py", line 182, in propagate 2025-09-07T08:15:24.7198835Z out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size) 2025-09-07T08:15:24.7199295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate 2025-09-07T08:15:24.7199725Z return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size, 2025-09-07T08:15:24.7200118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__ 2025-09-07T08:15:24.7200519Z return super().__call__(x, index, ptr, dim_size, dim, **kwargs) 2025-09-07T08:15:24.7200897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward 2025-09-07T08:15:24.7201275Z return self.reduce(x, index, ptr, dim_size, dim, reduce='mean') 2025-09-07T08:15:24.7201656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce 2025-09-07T08:15:24.7202009Z return scatter(x, index, dim, dim_size, reduce) 2025-09-07T08:15:24.7202360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 82, in scatter 2025-09-07T08:15:24.7202727Z out = src.new_zeros(size).scatter_add_(dim, index, src) 2025-09-07T08:15:24.7202884Z 2025-09-07T08:15:24.7202991Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:24.7203336Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:24.7203652Z return mod(*inputs) 2025-09-07T08:15:24.7203980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:24.7204326Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:24.7204565Z File "/tmp/jenkins_pyg/tmpdk0ezfds.py", line 228, in forward 2025-09-07T08:15:24.7204897Z out = self.propagate(edge_index, x=x, size=size) 2025-09-07T08:15:24.7205154Z File "/tmp/jenkins_pyg/tmpdk0ezfds.py", line 180, in propagate 2025-09-07T08:15:24.7205422Z kwargs = self._collect(edge_index, the_size, in_kwargs) 2025-09-07T08:15:24.7205678Z File "/tmp/jenkins_pyg/tmpdk0ezfds.py", line 127, in _collect 2025-09-07T08:15:24.7205919Z x_j = self._lift(x_j, edge_def, j) 2025-09-07T08:15:24.7206149Z File "/tmp/jenkins_pyg/tmpdk0ezfds.py", line 87, in _lift 2025-09-07T08:15:24.7206396Z return src.index_select(self.node_dim, index) 2025-09-07T08:15:24.7206538Z 2025-09-07T08:15:24.7206644Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:24.7206988Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:24.7207300Z return mod(*inputs) 2025-09-07T08:15:24.7207636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:24.7207991Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:24.7208213Z File "/tmp/jenkins_pyg/tmpdk0ezfds.py", line 228, in forward 2025-09-07T08:15:24.7208465Z out = self.propagate(edge_index, x=x, size=size) 2025-09-07T08:15:24.7208723Z File "/tmp/jenkins_pyg/tmpdk0ezfds.py", line 182, in propagate 2025-09-07T08:15:24.7209050Z out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size) 2025-09-07T08:15:24.7209500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate 2025-09-07T08:15:24.7209920Z return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size, 2025-09-07T08:15:24.7210349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__ 2025-09-07T08:15:24.7210728Z return super().__call__(x, index, ptr, dim_size, dim, **kwargs) 2025-09-07T08:15:24.7211172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward 2025-09-07T08:15:24.7211554Z return self.reduce(x, index, ptr, dim_size, dim, reduce='mean') 2025-09-07T08:15:24.7211931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce 2025-09-07T08:15:24.7212284Z return scatter(x, index, dim, dim_size, reduce) 2025-09-07T08:15:24.7212633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter 2025-09-07T08:15:24.7213003Z count.scatter_add_(0, index, src.new_ones(src.size(dim))) 2025-09-07T08:15:24.7213167Z 2025-09-07T08:15:24.7213268Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:24.7213617Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:24.7213933Z return mod(*inputs) 2025-09-07T08:15:24.7214266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:24.7214612Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:24.7214846Z File "/tmp/jenkins_pyg/tmpdk0ezfds.py", line 228, in forward 2025-09-07T08:15:24.7215095Z out = self.propagate(edge_index, x=x, size=size) 2025-09-07T08:15:24.7215353Z File "/tmp/jenkins_pyg/tmpdk0ezfds.py", line 182, in propagate 2025-09-07T08:15:24.7215678Z out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size) 2025-09-07T08:15:24.7216126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate 2025-09-07T08:15:24.7216552Z return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size, 2025-09-07T08:15:24.7216938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__ 2025-09-07T08:15:24.7217314Z return super().__call__(x, index, ptr, dim_size, dim, **kwargs) 2025-09-07T08:15:24.7217682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward 2025-09-07T08:15:24.7218062Z return self.reduce(x, index, ptr, dim_size, dim, reduce='mean') 2025-09-07T08:15:24.7218433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce 2025-09-07T08:15:24.7218786Z return scatter(x, index, dim, dim_size, reduce) 2025-09-07T08:15:24.7219134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter 2025-09-07T08:15:24.7219498Z count.scatter_add_(0, index, src.new_ones(src.size(dim))) 2025-09-07T08:15:24.7219664Z 2025-09-07T08:15:24.7219764Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:24.7220107Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:24.7220411Z return mod(*inputs) 2025-09-07T08:15:24.7220736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:24.7221115Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:24.7221337Z File "/tmp/jenkins_pyg/tmpdk0ezfds.py", line 233, in forward 2025-09-07T08:15:24.7221567Z out = out + self.lin_r(x_r) 2025-09-07T08:15:24.7221893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward 2025-09-07T08:15:24.7222253Z return F.linear(x, self.weight, self.bias) 2025-09-07T08:15:24.7222393Z 2025-09-07T08:15:24.7222502Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:24.7222866Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:24.7223176Z return mod(*inputs) 2025-09-07T08:15:24.7223498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:24.7223880Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:24.7224104Z File "/tmp/jenkins_pyg/tmp_sv3552s.py", line 228, in forward 2025-09-07T08:15:24.7224357Z out = self.propagate(edge_index, x=x, size=size) 2025-09-07T08:15:24.7224620Z File "/tmp/jenkins_pyg/tmp_sv3552s.py", line 182, in propagate 2025-09-07T08:15:24.7224953Z out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size) 2025-09-07T08:15:24.7225430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate 2025-09-07T08:15:24.7225856Z return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size, 2025-09-07T08:15:24.7226257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__ 2025-09-07T08:15:24.7226651Z return super().__call__(x, index, ptr, dim_size, dim, **kwargs) 2025-09-07T08:15:24.7227033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward 2025-09-07T08:15:24.7227427Z return self.reduce(x, index, ptr, dim_size, dim, reduce='mean') 2025-09-07T08:15:24.7227802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce 2025-09-07T08:15:24.7228155Z return scatter(x, index, dim, dim_size, reduce) 2025-09-07T08:15:24.7228505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 82, in scatter 2025-09-07T08:15:24.7228867Z out = src.new_zeros(size).scatter_add_(dim, index, src) 2025-09-07T08:15:24.7229021Z 2025-09-07T08:15:24.7229126Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:24.7229475Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:24.7229784Z return mod(*inputs) 2025-09-07T08:15:24.7230109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:24.7230459Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:24.7230682Z File "/tmp/jenkins_pyg/tmp_sv3552s.py", line 228, in forward 2025-09-07T08:15:24.7230937Z out = self.propagate(edge_index, x=x, size=size) 2025-09-07T08:15:24.7231189Z File "/tmp/jenkins_pyg/tmp_sv3552s.py", line 182, in propagate 2025-09-07T08:15:24.7231514Z out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size) 2025-09-07T08:15:24.7231960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate 2025-09-07T08:15:24.7232380Z return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size, 2025-09-07T08:15:24.7232768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__ 2025-09-07T08:15:24.7233143Z return super().__call__(x, index, ptr, dim_size, dim, **kwargs) 2025-09-07T08:15:24.7233517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward 2025-09-07T08:15:24.7233892Z return self.reduce(x, index, ptr, dim_size, dim, reduce='mean') 2025-09-07T08:15:24.7234264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce 2025-09-07T08:15:24.7234618Z return scatter(x, index, dim, dim_size, reduce) 2025-09-07T08:15:24.7234969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter 2025-09-07T08:15:24.7235340Z count.scatter_add_(0, index, src.new_ones(src.size(dim))) 2025-09-07T08:15:24.7235497Z 2025-09-07T08:15:24.7235653Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:24.7236001Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:24.7236312Z return mod(*inputs) 2025-09-07T08:15:24.7237524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:24.7237896Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:24.7238126Z File "/tmp/jenkins_pyg/tmp_sv3552s.py", line 228, in forward 2025-09-07T08:15:24.7238376Z out = self.propagate(edge_index, x=x, size=size) 2025-09-07T08:15:24.7238631Z File "/tmp/jenkins_pyg/tmp_sv3552s.py", line 182, in propagate 2025-09-07T08:15:24.7238949Z out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size) 2025-09-07T08:15:24.7239391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate 2025-09-07T08:15:24.7239814Z return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size, 2025-09-07T08:15:24.7240193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__ 2025-09-07T08:15:24.7240569Z return super().__call__(x, index, ptr, dim_size, dim, **kwargs) 2025-09-07T08:15:24.7240938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward 2025-09-07T08:15:24.7241305Z return self.reduce(x, index, ptr, dim_size, dim, reduce='mean') 2025-09-07T08:15:24.7241674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce 2025-09-07T08:15:24.7242026Z return scatter(x, index, dim, dim_size, reduce) 2025-09-07T08:15:24.7242372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter 2025-09-07T08:15:24.7242737Z count.scatter_add_(0, index, src.new_ones(src.size(dim))) 2025-09-07T08:15:24.7242903Z 2025-09-07T08:15:24.7243002Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:24.7243342Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:24.7243647Z return mod(*inputs) 2025-09-07T08:15:24.7243969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:24.7244311Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:24.7244542Z File "/tmp/jenkins_pyg/tmp5vi5wt99.py", line 228, in forward 2025-09-07T08:15:24.7244792Z out = self.propagate(edge_index, x=x, size=size) 2025-09-07T08:15:24.7245047Z File "/tmp/jenkins_pyg/tmp5vi5wt99.py", line 182, in propagate 2025-09-07T08:15:24.7245363Z out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size) 2025-09-07T08:15:24.7245817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate 2025-09-07T08:15:24.7246240Z return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size, 2025-09-07T08:15:24.7246625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__ 2025-09-07T08:15:24.7247002Z return super().__call__(x, index, ptr, dim_size, dim, **kwargs) 2025-09-07T08:15:24.7247363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward 2025-09-07T08:15:24.7247742Z return self.reduce(x, index, ptr, dim_size, dim, reduce='mean') 2025-09-07T08:15:24.7248113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce 2025-09-07T08:15:24.7248465Z return scatter(x, index, dim, dim_size, reduce) 2025-09-07T08:15:24.7248809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 82, in scatter 2025-09-07T08:15:24.7249166Z out = src.new_zeros(size).scatter_add_(dim, index, src) 2025-09-07T08:15:24.7249358Z 2025-09-07T08:15:24.7249440Z cudagraph partition due to non gpu ops 2025-09-07T08:15:24.7249656Z cudagraph partition due to non gpu ops 2025-09-07T08:15:24.7249892Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:24.7250267Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:24.7250576Z return mod(*inputs) 2025-09-07T08:15:24.7250906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:24.7251258Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:24.7251490Z File "/tmp/jenkins_pyg/tmpdk0ezfds.py", line 233, in forward 2025-09-07T08:15:24.7251715Z out = out + self.lin_r(x_r) 2025-09-07T08:15:24.7252047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward 2025-09-07T08:15:24.7252407Z return F.linear(x, self.weight, self.bias) 2025-09-07T08:15:24.7252545Z 2025-09-07T08:15:24.7252654Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:24.7252987Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:24.7253293Z return mod(*inputs) 2025-09-07T08:15:24.7253621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:24.7253971Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:24.7254202Z File "/tmp/jenkins_pyg/tmpdk0ezfds.py", line 233, in forward 2025-09-07T08:15:24.7254420Z out = out + self.lin_r(x_r) 2025-09-07T08:15:24.7254743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward 2025-09-07T08:15:24.7255095Z return F.linear(x, self.weight, self.bias) 2025-09-07T08:15:24.7255232Z 2025-09-07T08:15:24.7255342Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:24.7255678Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:24.7255991Z return mod(*inputs) 2025-09-07T08:15:24.7256316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:24.7256664Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:24.7256968Z File "/tmp/jenkins_pyg/tmpdk0ezfds.py", line 229, in forward 2025-09-07T08:15:24.7257191Z out = self.lin_l(out) 2025-09-07T08:15:24.7257515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward 2025-09-07T08:15:24.7257874Z return F.linear(x, self.weight, self.bias) 2025-09-07T08:15:24.7258011Z 2025-09-07T08:15:24.7258120Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:24.7258458Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:24.7258771Z return mod(*inputs) 2025-09-07T08:15:24.7259096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:24.7259450Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:24.7259685Z File "/tmp/jenkins_pyg/tmpdk0ezfds.py", line 233, in forward 2025-09-07T08:15:24.7259913Z out = out + self.lin_r(x_r) 2025-09-07T08:15:24.7260035Z 2025-09-07T08:15:24.7260133Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:24.7260471Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:24.7260776Z return mod(*inputs) 2025-09-07T08:15:24.7261092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:24.7261443Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:24.7261675Z File "/tmp/jenkins_pyg/tmpdk0ezfds.py", line 233, in forward 2025-09-07T08:15:24.7261965Z out = out + self.lin_r(x_r) 2025-09-07T08:15:24.7262076Z 2025-09-07T08:15:24.7262184Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:24.7262518Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:24.7262827Z return mod(*inputs) 2025-09-07T08:15:24.7263193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 234, in forward 2025-09-07T08:15:24.7263539Z x = self.act(x) 2025-09-07T08:15:24.7263630Z 2025-09-07T08:15:24.7263727Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:24.7264071Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:24.7264377Z return mod(*inputs) 2025-09-07T08:15:24.7264700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:24.7265046Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:24.7265268Z File "/tmp/jenkins_pyg/tmp_sv3552s.py", line 228, in forward 2025-09-07T08:15:24.7265522Z out = self.propagate(edge_index, x=x, size=size) 2025-09-07T08:15:24.7265781Z File "/tmp/jenkins_pyg/tmp_sv3552s.py", line 180, in propagate 2025-09-07T08:15:24.7266057Z kwargs = self._collect(edge_index, the_size, in_kwargs) 2025-09-07T08:15:24.7266314Z File "/tmp/jenkins_pyg/tmp_sv3552s.py", line 127, in _collect 2025-09-07T08:15:24.7266554Z x_j = self._lift(x_j, edge_def, j) 2025-09-07T08:15:24.7266782Z File "/tmp/jenkins_pyg/tmp_sv3552s.py", line 87, in _lift 2025-09-07T08:15:24.7267028Z return src.index_select(self.node_dim, index) 2025-09-07T08:15:24.7267164Z 2025-09-07T08:15:24.7267243Z cudagraph partition due to non gpu ops 2025-09-07T08:15:24.7267446Z cudagraph partition due to non gpu ops 2025-09-07T08:15:24.7267671Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:24.7268010Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:24.7268316Z return mod(*inputs) 2025-09-07T08:15:24.7268632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:24.7268979Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:24.7269210Z File "/tmp/jenkins_pyg/tmp_sv3552s.py", line 233, in forward 2025-09-07T08:15:24.7269436Z out = out + self.lin_r(x_r) 2025-09-07T08:15:24.7269755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward 2025-09-07T08:15:24.7270111Z return F.linear(x, self.weight, self.bias) 2025-09-07T08:15:24.7270257Z 2025-09-07T08:15:24.7270357Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:24.7270695Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:24.7270999Z return mod(*inputs) 2025-09-07T08:15:24.7271310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:24.7271658Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:24.7271883Z File "/tmp/jenkins_pyg/tmp_sv3552s.py", line 233, in forward 2025-09-07T08:15:24.7272110Z out = out + self.lin_r(x_r) 2025-09-07T08:15:24.7272425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward 2025-09-07T08:15:24.7272781Z return F.linear(x, self.weight, self.bias) 2025-09-07T08:15:24.7272925Z 2025-09-07T08:15:24.7273021Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:24.7273354Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:24.7273657Z return mod(*inputs) 2025-09-07T08:15:24.7273970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:24.7274320Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:24.7274582Z File "/tmp/jenkins_pyg/tmp_sv3552s.py", line 228, in forward 2025-09-07T08:15:24.7274837Z out = self.propagate(edge_index, x=x, size=size) 2025-09-07T08:15:24.7275090Z File "/tmp/jenkins_pyg/tmp_sv3552s.py", line 182, in propagate 2025-09-07T08:15:24.7275458Z out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size) 2025-09-07T08:15:24.7275921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate 2025-09-07T08:15:24.7276351Z return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size, 2025-09-07T08:15:24.7276742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__ 2025-09-07T08:15:24.7277119Z return super().__call__(x, index, ptr, dim_size, dim, **kwargs) 2025-09-07T08:15:24.7277496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward 2025-09-07T08:15:24.7277880Z return self.reduce(x, index, ptr, dim_size, dim, reduce='mean') 2025-09-07T08:15:24.7278254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce 2025-09-07T08:15:24.7278612Z return scatter(x, index, dim, dim_size, reduce) 2025-09-07T08:15:24.7278960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 84, in scatter 2025-09-07T08:15:24.7279306Z return out / broadcast(count, out, dim) 2025-09-07T08:15:24.7279447Z 2025-09-07T08:15:24.7279548Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:24.7279892Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:24.7280205Z return mod(*inputs) 2025-09-07T08:15:24.7280531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:24.7280885Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:24.7281116Z File "/tmp/jenkins_pyg/tmp_sv3552s.py", line 233, in forward 2025-09-07T08:15:24.7281347Z out = out + self.lin_r(x_r) 2025-09-07T08:15:24.7281458Z 2025-09-07T08:15:24.7281560Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:24.7281904Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:24.7282216Z return mod(*inputs) 2025-09-07T08:15:24.7282541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:24.7282879Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:24.7283111Z File "/tmp/jenkins_pyg/tmp_sv3552s.py", line 233, in forward 2025-09-07T08:15:24.7283340Z out = out + self.lin_r(x_r) 2025-09-07T08:15:24.7283450Z 2025-09-07T08:15:24.7283557Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:24.7283901Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:24.7284201Z return mod(*inputs) 2025-09-07T08:15:24.7284525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 234, in forward 2025-09-07T08:15:24.7284866Z x = self.act(x) 2025-09-07T08:15:24.7284960Z 2025-09-07T08:15:24.7285068Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:24.7285401Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:24.7285705Z return mod(*inputs) 2025-09-07T08:15:24.7286026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:24.7286373Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:24.7286601Z File "/tmp/jenkins_pyg/tmp5vi5wt99.py", line 228, in forward 2025-09-07T08:15:24.7286849Z out = self.propagate(edge_index, x=x, size=size) 2025-09-07T08:15:24.7287141Z File "/tmp/jenkins_pyg/tmp5vi5wt99.py", line 180, in propagate 2025-09-07T08:15:24.7287407Z kwargs = self._collect(edge_index, the_size, in_kwargs) 2025-09-07T08:15:24.7287672Z File "/tmp/jenkins_pyg/tmp5vi5wt99.py", line 127, in _collect 2025-09-07T08:15:24.7287899Z x_j = self._lift(x_j, edge_def, j) 2025-09-07T08:15:24.7288153Z File "/tmp/jenkins_pyg/tmp5vi5wt99.py", line 87, in _lift 2025-09-07T08:15:24.7288397Z return src.index_select(self.node_dim, index) 2025-09-07T08:15:24.7288536Z 2025-09-07T08:15:24.7288621Z cudagraph partition due to non gpu ops 2025-09-07T08:15:24.7288842Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:24.7289186Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:24.7289494Z return mod(*inputs) 2025-09-07T08:15:24.7289821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:24.7290177Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:24.7290402Z File "/tmp/jenkins_pyg/tmp5vi5wt99.py", line 233, in forward 2025-09-07T08:15:24.7290639Z out = out + self.lin_r(x_r) 2025-09-07T08:15:24.7290970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward 2025-09-07T08:15:24.7291332Z return F.linear(x, self.weight, self.bias) 2025-09-07T08:15:24.7291469Z 2025-09-07T08:15:24.7291570Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:24.7291913Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:24.7292225Z return mod(*inputs) 2025-09-07T08:15:24.7292552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:24.7292904Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:24.7293129Z File "/tmp/jenkins_pyg/tmp5vi5wt99.py", line 233, in forward 2025-09-07T08:15:24.7293361Z out = out + self.lin_r(x_r) 2025-09-07T08:15:24.7293686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward 2025-09-07T08:15:24.7294043Z return F.linear(x, self.weight, self.bias) 2025-09-07T08:15:24.7294179Z 2025-09-07T08:15:24.7294279Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:24.7294620Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:24.7294927Z return mod(*inputs) 2025-09-07T08:15:24.7295251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:24.7295596Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:24.7295818Z File "/tmp/jenkins_pyg/tmp5vi5wt99.py", line 228, in forward 2025-09-07T08:15:24.7296109Z out = self.propagate(edge_index, x=x, size=size) 2025-09-07T08:15:24.7296372Z File "/tmp/jenkins_pyg/tmp5vi5wt99.py", line 182, in propagate 2025-09-07T08:15:24.7296704Z out = self.aggregate(out, index=kwargs.index, ptr=kwargs.ptr, dim_size=kwargs.dim_size) 2025-09-07T08:15:24.7297162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate 2025-09-07T08:15:24.7297586Z return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size, 2025-09-07T08:15:24.7297975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__ 2025-09-07T08:15:24.7298359Z return super().__call__(x, index, ptr, dim_size, dim, **kwargs) 2025-09-07T08:15:24.7298735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward 2025-09-07T08:15:24.7299111Z return self.reduce(x, index, ptr, dim_size, dim, reduce='mean') 2025-09-07T08:15:24.7299485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce 2025-09-07T08:15:24.7299875Z return scatter(x, index, dim, dim_size, reduce) 2025-09-07T08:15:24.7300233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 84, in scatter 2025-09-07T08:15:24.7300583Z return out / broadcast(count, out, dim) 2025-09-07T08:15:24.7300717Z 2025-09-07T08:15:24.7300850Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:24.7301192Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:24.7301500Z return mod(*inputs) 2025-09-07T08:15:24.7301823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:24.7302169Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:24.7302400Z File "/tmp/jenkins_pyg/tmp5vi5wt99.py", line 233, in forward 2025-09-07T08:15:24.7302628Z out = out + self.lin_r(x_r) 2025-09-07T08:15:24.7302740Z 2025-09-07T08:15:24.7302852Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:24.7303193Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:24.7303493Z return mod(*inputs) 2025-09-07T08:15:24.7303821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward 2025-09-07T08:15:24.7304170Z x = self.convs[i](x, edge_index) 2025-09-07T08:15:24.7304395Z File "/tmp/jenkins_pyg/tmp5vi5wt99.py", line 233, in forward 2025-09-07T08:15:24.7304615Z out = out + self.lin_r(x_r) 2025-09-07T08:15:24.7304732Z 2025-09-07T08:15:32.6128028Z pass 2025-09-07T08:15:32.6128519Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:34.1303822Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:15:34.1305283Z import pynvml # type: ignore[import] 2025-09-07T08:15:35.8343866Z 2025-09-07T08:15:35.9939632Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:15:35.9940042Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:15:35.9940412Z cpu eval dcgan 2025-09-07T08:15:36.0072801Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:36.0131152Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:36.0176141Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:38.5111137Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:38.5111579Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:38.5111918Z return mod(*inputs) 2025-09-07T08:15:38.5112224Z File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward 2025-09-07T08:15:38.5112523Z return self.main(input) 2025-09-07T08:15:38.5112647Z 2025-09-07T08:15:38.5112751Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:38.5113111Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:38.5113415Z return mod(*inputs) 2025-09-07T08:15:38.5113679Z File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward 2025-09-07T08:15:38.5113961Z return self.main(input) 2025-09-07T08:15:38.5114069Z 2025-09-07T08:15:38.5114178Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:38.5114520Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:38.5114822Z return mod(*inputs) 2025-09-07T08:15:38.5115083Z File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward 2025-09-07T08:15:38.5115705Z return self.main(input) 2025-09-07T08:15:38.5115812Z 2025-09-07T08:15:38.5115922Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:38.5116254Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:38.5116644Z return mod(*inputs) 2025-09-07T08:15:38.5116899Z File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward 2025-09-07T08:15:38.5117181Z return self.main(input) 2025-09-07T08:15:38.5117286Z 2025-09-07T08:15:38.5117391Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:38.5117720Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:38.5118022Z return mod(*inputs) 2025-09-07T08:15:38.5118276Z File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward 2025-09-07T08:15:38.5118553Z return self.main(input) 2025-09-07T08:15:38.5118663Z 2025-09-07T08:15:38.5118762Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:38.5119096Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:38.5119397Z return mod(*inputs) 2025-09-07T08:15:38.5119645Z File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward 2025-09-07T08:15:38.5119922Z return self.main(input) 2025-09-07T08:15:38.5120024Z 2025-09-07T08:15:38.5120121Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:38.5120457Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:38.5120758Z return mod(*inputs) 2025-09-07T08:15:38.5121006Z File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward 2025-09-07T08:15:38.5121273Z return self.main(input) 2025-09-07T08:15:38.5121384Z 2025-09-07T08:15:38.5121478Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:38.5121812Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:38.5122115Z return mod(*inputs) 2025-09-07T08:15:38.5122357Z File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward 2025-09-07T08:15:38.5122631Z return self.main(input) 2025-09-07T08:15:38.5122742Z 2025-09-07T08:15:38.5122839Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:38.5123174Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:15:38.5123476Z return mod(*inputs) 2025-09-07T08:15:38.5123719Z File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward 2025-09-07T08:15:38.5123994Z return self.main(input) 2025-09-07T08:15:38.5124103Z 2025-09-07T08:15:38.5124183Z cudagraph partition due to non gpu ops 2025-09-07T08:15:38.5124397Z cudagraph partition due to non gpu ops 2025-09-07T08:15:45.7815296Z pass 2025-09-07T08:15:45.7816321Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:47.2731702Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:15:47.2733115Z import pynvml # type: ignore[import] 2025-09-07T08:15:48.9765625Z 2025-09-07T08:15:50.2196955Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:15:50.2197635Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:15:50.2197879Z cpu eval demucs 2025-09-07T08:15:50.7633763Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:50.8954696Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:51.0244339Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:52.9922251Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:15:52.9922649Z File "/torchbench/torchbenchmark/models/demucs/__init__.py", line 32, in forward 2025-09-07T08:15:52.9922951Z mix = sources.sum(dim=1) 2025-09-07T08:16:00.8528821Z 2025-09-07T08:16:00.8529392Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:00.8529831Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward 2025-09-07T08:16:00.8530144Z x = encode(x) 2025-09-07T08:16:00.8530241Z 2025-09-07T08:16:00.8530356Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:00.8530672Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward 2025-09-07T08:16:00.8530959Z x = encode(x) 2025-09-07T08:16:00.8531057Z 2025-09-07T08:16:00.8531156Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:00.8531492Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward 2025-09-07T08:16:00.8531763Z x = encode(x) 2025-09-07T08:16:00.8531860Z 2025-09-07T08:16:00.8531957Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:00.8532281Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward 2025-09-07T08:16:00.8532564Z x = encode(x) 2025-09-07T08:16:00.8532652Z 2025-09-07T08:16:00.8532743Z cudagraph partition due to non gpu ops 2025-09-07T08:16:00.8532968Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:00.8533283Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward 2025-09-07T08:16:00.8533559Z x = encode(x) 2025-09-07T08:16:00.8533644Z 2025-09-07T08:16:00.8533749Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:00.8534083Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward 2025-09-07T08:16:00.8534358Z x = encode(x) 2025-09-07T08:16:00.8534451Z 2025-09-07T08:16:00.8534548Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:00.8534860Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward 2025-09-07T08:16:00.8535134Z x = encode(x) 2025-09-07T08:16:00.8535219Z 2025-09-07T08:16:00.8535308Z cudagraph partition due to non gpu ops 2025-09-07T08:16:00.8535527Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:00.8535837Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward 2025-09-07T08:16:00.8536116Z x = encode(x) 2025-09-07T08:16:00.8536200Z 2025-09-07T08:16:00.8536304Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:00.8536606Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward 2025-09-07T08:16:00.8536882Z x = encode(x) 2025-09-07T08:16:00.8536973Z 2025-09-07T08:16:00.8537068Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:00.8537380Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward 2025-09-07T08:16:00.8537656Z x = encode(x) 2025-09-07T08:16:00.8537740Z 2025-09-07T08:16:00.8537816Z cudagraph partition due to non gpu ops 2025-09-07T08:16:00.8538045Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:00.8538359Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward 2025-09-07T08:16:00.8538633Z x = encode(x) 2025-09-07T08:16:00.8538715Z 2025-09-07T08:16:00.8538810Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:00.8539120Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward 2025-09-07T08:16:00.8539398Z x = encode(x) 2025-09-07T08:16:00.8539483Z 2025-09-07T08:16:00.8539585Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:00.8539887Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward 2025-09-07T08:16:00.8540286Z x = encode(x) 2025-09-07T08:16:00.8540381Z 2025-09-07T08:16:00.8540457Z cudagraph partition due to non gpu ops 2025-09-07T08:16:00.8540684Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:00.8541000Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward 2025-09-07T08:16:00.8541317Z x = encode(x) 2025-09-07T08:16:00.8541410Z 2025-09-07T08:16:00.8541504Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:00.8541819Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward 2025-09-07T08:16:00.8542101Z x = encode(x) 2025-09-07T08:16:00.8542185Z 2025-09-07T08:16:00.8542278Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:00.8542585Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward 2025-09-07T08:16:00.8542864Z x = encode(x) 2025-09-07T08:16:00.8542948Z 2025-09-07T08:16:00.8543033Z cudagraph partition due to non gpu ops 2025-09-07T08:16:00.8543259Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:00.8543564Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward 2025-09-07T08:16:00.8543849Z x = encode(x) 2025-09-07T08:16:00.8543939Z 2025-09-07T08:16:00.8544035Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:00.8544348Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward 2025-09-07T08:16:00.8544621Z x = encode(x) 2025-09-07T08:16:00.8544711Z 2025-09-07T08:16:00.8544805Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:00.8545118Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward 2025-09-07T08:16:00.8545399Z x = encode(x) 2025-09-07T08:16:00.8545483Z 2025-09-07T08:16:00.8545566Z cudagraph partition due to non gpu ops 2025-09-07T08:16:01.5918219Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:01.5918739Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220 2025-09-07T08:16:01.5919142Z x = x + skip 2025-09-07T08:16:01.5919246Z 2025-09-07T08:16:01.5919351Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:01.5919758Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220 2025-09-07T08:16:01.5920106Z x = decode(x) 2025-09-07T08:16:01.5920204Z 2025-09-07T08:16:01.5920302Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:01.5920687Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220 2025-09-07T08:16:01.5921031Z x = decode(x) 2025-09-07T08:16:01.5921119Z 2025-09-07T08:16:01.5921224Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:01.5921595Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220 2025-09-07T08:16:01.5921940Z x = decode(x) 2025-09-07T08:16:01.5922033Z 2025-09-07T08:16:01.5922130Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:01.5922509Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220 2025-09-07T08:16:01.5922849Z x = decode(x) 2025-09-07T08:16:01.5922936Z 2025-09-07T08:16:01.5923032Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:01.5923406Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220 2025-09-07T08:16:01.5923746Z x = x + skip 2025-09-07T08:16:01.5923833Z 2025-09-07T08:16:01.5923935Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:01.5924303Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220 2025-09-07T08:16:01.5924642Z x = decode(x) 2025-09-07T08:16:01.5925095Z 2025-09-07T08:16:01.5925195Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:01.5925575Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220 2025-09-07T08:16:01.5925912Z x = decode(x) 2025-09-07T08:16:01.5925995Z 2025-09-07T08:16:01.5926883Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:01.5927286Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220 2025-09-07T08:16:01.5927626Z x = decode(x) 2025-09-07T08:16:01.5927713Z 2025-09-07T08:16:01.5927813Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:01.5928188Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220 2025-09-07T08:16:01.5928523Z x = x + skip 2025-09-07T08:16:01.5928622Z 2025-09-07T08:16:01.5928721Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:01.5929106Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220 2025-09-07T08:16:01.5929452Z x = decode(x) 2025-09-07T08:16:01.5929535Z 2025-09-07T08:16:01.5929631Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:01.5930010Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220 2025-09-07T08:16:01.5930350Z x = decode(x) 2025-09-07T08:16:01.5930435Z 2025-09-07T08:16:01.5930543Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:01.5930916Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220 2025-09-07T08:16:01.5931249Z x = decode(x) 2025-09-07T08:16:01.5931342Z 2025-09-07T08:16:01.5931438Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:01.5931812Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220 2025-09-07T08:16:01.5932152Z x = x + skip 2025-09-07T08:16:01.5932239Z 2025-09-07T08:16:01.5932341Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:01.5932710Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220 2025-09-07T08:16:01.5933054Z x = decode(x) 2025-09-07T08:16:01.5933148Z 2025-09-07T08:16:01.5933243Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:01.5933616Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220 2025-09-07T08:16:01.5933945Z x = decode(x) 2025-09-07T08:16:01.5934039Z 2025-09-07T08:16:01.5934133Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:01.5934510Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220 2025-09-07T08:16:01.5934848Z x = decode(x) 2025-09-07T08:16:01.5934934Z 2025-09-07T08:16:01.5935036Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:01.5935403Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220 2025-09-07T08:16:01.5935742Z x = x + skip 2025-09-07T08:16:01.5935832Z 2025-09-07T08:16:01.5935929Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:01.5936302Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220 2025-09-07T08:16:01.5936637Z x = decode(x) 2025-09-07T08:16:01.5936722Z 2025-09-07T08:16:01.5936817Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:01.5937194Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220 2025-09-07T08:16:01.5937533Z x = decode(x) 2025-09-07T08:16:01.5937617Z 2025-09-07T08:16:01.5937719Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:01.5938144Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220 2025-09-07T08:16:01.5938492Z x = decode(x) 2025-09-07T08:16:01.5938584Z 2025-09-07T08:16:01.5938682Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:01.5939108Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220 2025-09-07T08:16:01.5939446Z x = x + skip 2025-09-07T08:16:01.5939531Z 2025-09-07T08:16:01.5939624Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:01.5940002Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220 2025-09-07T08:16:01.5940344Z x = decode(x) 2025-09-07T08:16:01.5940426Z 2025-09-07T08:16:01.5940528Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:01.5940899Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220 2025-09-07T08:16:01.5941236Z x = decode(x) 2025-09-07T08:16:01.5941328Z 2025-09-07T08:16:01.5941422Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:01.5941802Z File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220 2025-09-07T08:16:01.5942141Z x = decode(x) 2025-09-07T08:16:01.5942225Z 2025-09-07T08:16:03.3046777Z pass 2025-09-07T08:16:03.3047190Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:16:04.8824352Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:16:04.8825886Z import pynvml # type: ignore[import] 2025-09-07T08:16:06.6110826Z 2025-09-07T08:16:07.0672689Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:16:07.0673014Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:16:07.4783165Z cpu eval densenet121 2025-09-07T08:16:07.4783619Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:16:07.5904424Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:16:07.6966203Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:16:31.9385794Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9386228Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9386557Z return mod(*inputs) 2025-09-07T08:16:31.9386916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9387269Z features = self.features(x) 2025-09-07T08:16:31.9387429Z 2025-09-07T08:16:31.9387539Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9387893Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9388208Z return mod(*inputs) 2025-09-07T08:16:31.9388536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9388994Z features = self.features(x) 2025-09-07T08:16:31.9389163Z 2025-09-07T08:16:31.9389327Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9389922Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9390465Z return mod(*inputs) 2025-09-07T08:16:31.9390929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9391436Z features = self.features(x) 2025-09-07T08:16:31.9391898Z 2025-09-07T08:16:31.9392001Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9392339Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9392685Z return mod(*inputs) 2025-09-07T08:16:31.9393206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9393579Z features = self.features(x) 2025-09-07T08:16:31.9393692Z 2025-09-07T08:16:31.9393799Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9394131Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9394439Z return mod(*inputs) 2025-09-07T08:16:31.9394748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9395087Z features = self.features(x) 2025-09-07T08:16:31.9395425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9395816Z new_features = layer(features) 2025-09-07T08:16:31.9396177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9396767Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9396956Z 2025-09-07T08:16:31.9397075Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9397486Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9397800Z return mod(*inputs) 2025-09-07T08:16:31.9398199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9398563Z features = self.features(x) 2025-09-07T08:16:31.9398948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9399325Z new_features = layer(features) 2025-09-07T08:16:31.9399728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9400184Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9400379Z 2025-09-07T08:16:31.9400517Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9400910Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9401473Z return mod(*inputs) 2025-09-07T08:16:31.9401891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9402344Z features = self.features(x) 2025-09-07T08:16:31.9402792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9403268Z new_features = layer(features) 2025-09-07T08:16:31.9403719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9404282Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9404554Z 2025-09-07T08:16:31.9404689Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9405198Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9405626Z return mod(*inputs) 2025-09-07T08:16:31.9405993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9406502Z features = self.features(x) 2025-09-07T08:16:31.9406928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9407338Z new_features = layer(features) 2025-09-07T08:16:31.9407748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9408337Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9408566Z 2025-09-07T08:16:31.9408684Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9409199Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9409538Z return mod(*inputs) 2025-09-07T08:16:31.9409974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9410380Z features = self.features(x) 2025-09-07T08:16:31.9410810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9411199Z new_features = layer(features) 2025-09-07T08:16:31.9411596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9412127Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9412589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9413055Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9413249Z 2025-09-07T08:16:31.9413400Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9413758Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9414081Z return mod(*inputs) 2025-09-07T08:16:31.9414493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9414922Z features = self.features(x) 2025-09-07T08:16:31.9415280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9415639Z new_features = layer(features) 2025-09-07T08:16:31.9416020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9416536Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9417007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9417536Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9417875Z 2025-09-07T08:16:31.9418029Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9418481Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9418880Z return mod(*inputs) 2025-09-07T08:16:31.9419283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9419629Z features = self.features(x) 2025-09-07T08:16:31.9419953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9420291Z new_features = layer(features) 2025-09-07T08:16:31.9420628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9421037Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9421218Z 2025-09-07T08:16:31.9421327Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9421677Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9421982Z return mod(*inputs) 2025-09-07T08:16:31.9422296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9422635Z features = self.features(x) 2025-09-07T08:16:31.9422959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9423348Z new_features = layer(features) 2025-09-07T08:16:31.9423681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9424076Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9424256Z 2025-09-07T08:16:31.9424403Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9424765Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9425078Z return mod(*inputs) 2025-09-07T08:16:31.9425393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9425736Z features = self.features(x) 2025-09-07T08:16:31.9426062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9426394Z new_features = layer(features) 2025-09-07T08:16:31.9426732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9427143Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9427327Z 2025-09-07T08:16:31.9427435Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9427783Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9428086Z return mod(*inputs) 2025-09-07T08:16:31.9428401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9428745Z features = self.features(x) 2025-09-07T08:16:31.9429070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9429407Z new_features = layer(features) 2025-09-07T08:16:31.9429739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9430144Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9430333Z 2025-09-07T08:16:31.9430436Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9430782Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9431092Z return mod(*inputs) 2025-09-07T08:16:31.9431413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9431751Z features = self.features(x) 2025-09-07T08:16:31.9432080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9432420Z new_features = layer(features) 2025-09-07T08:16:31.9432746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9433120Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9433539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9433909Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9434085Z 2025-09-07T08:16:31.9434232Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9434643Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9435070Z return mod(*inputs) 2025-09-07T08:16:31.9435390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9435775Z features = self.features(x) 2025-09-07T08:16:31.9436151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9436518Z new_features = layer(features) 2025-09-07T08:16:31.9436883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9437284Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9437696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9438297Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9438591Z 2025-09-07T08:16:31.9438693Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9439045Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9439412Z return mod(*inputs) 2025-09-07T08:16:31.9439776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9440243Z features = self.features(x) 2025-09-07T08:16:31.9440674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9441112Z new_features = layer(features) 2025-09-07T08:16:31.9441512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9441970Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9442160Z 2025-09-07T08:16:31.9442264Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9442657Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9443020Z return mod(*inputs) 2025-09-07T08:16:31.9443370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9443783Z features = self.features(x) 2025-09-07T08:16:31.9444182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9444602Z new_features = layer(features) 2025-09-07T08:16:31.9445011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9445463Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9445658Z 2025-09-07T08:16:31.9445794Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9446237Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9446602Z return mod(*inputs) 2025-09-07T08:16:31.9446995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9447410Z features = self.features(x) 2025-09-07T08:16:31.9447782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9448164Z new_features = layer(features) 2025-09-07T08:16:31.9448598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9449146Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9449375Z 2025-09-07T08:16:31.9449475Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9449861Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9450257Z return mod(*inputs) 2025-09-07T08:16:31.9450657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9451041Z features = self.features(x) 2025-09-07T08:16:31.9451394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9451836Z new_features = layer(features) 2025-09-07T08:16:31.9452234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9452763Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9452992Z 2025-09-07T08:16:31.9453135Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9453503Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9453929Z return mod(*inputs) 2025-09-07T08:16:31.9454317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9454740Z features = self.features(x) 2025-09-07T08:16:31.9455058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9455428Z new_features = layer(features) 2025-09-07T08:16:31.9455812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9456289Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9456711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9457352Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9457612Z 2025-09-07T08:16:31.9457748Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9477157Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9477488Z return mod(*inputs) 2025-09-07T08:16:31.9477798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9478152Z features = self.features(x) 2025-09-07T08:16:31.9478479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9478827Z new_features = layer(features) 2025-09-07T08:16:31.9479150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9479529Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9479915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9480384Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9480607Z 2025-09-07T08:16:31.9480720Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9481062Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9481383Z return mod(*inputs) 2025-09-07T08:16:31.9481700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9482046Z features = self.features(x) 2025-09-07T08:16:31.9482376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9482715Z new_features = layer(features) 2025-09-07T08:16:31.9483054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9483458Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9483643Z 2025-09-07T08:16:31.9483754Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9484102Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9484406Z return mod(*inputs) 2025-09-07T08:16:31.9484719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9485059Z features = self.features(x) 2025-09-07T08:16:31.9485385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9485720Z new_features = layer(features) 2025-09-07T08:16:31.9486122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9486523Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9486705Z 2025-09-07T08:16:31.9486816Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9487215Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9487527Z return mod(*inputs) 2025-09-07T08:16:31.9487849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9488197Z features = self.features(x) 2025-09-07T08:16:31.9488529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9488868Z new_features = layer(features) 2025-09-07T08:16:31.9489211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9489620Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9489808Z 2025-09-07T08:16:31.9489921Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9490276Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9490597Z return mod(*inputs) 2025-09-07T08:16:31.9490926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9491282Z features = self.features(x) 2025-09-07T08:16:31.9491622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9491971Z new_features = layer(features) 2025-09-07T08:16:31.9492320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9492738Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9492934Z 2025-09-07T08:16:31.9493050Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9493411Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9493733Z return mod(*inputs) 2025-09-07T08:16:31.9494067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9494428Z features = self.features(x) 2025-09-07T08:16:31.9494768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9495126Z new_features = layer(features) 2025-09-07T08:16:31.9495466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9495851Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9496249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9496646Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9496789Z 2025-09-07T08:16:31.9496895Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9497265Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9497597Z return mod(*inputs) 2025-09-07T08:16:31.9497929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9498283Z features = self.features(x) 2025-09-07T08:16:31.9498615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9498975Z new_features = layer(features) 2025-09-07T08:16:31.9499322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9499744Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9500125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9500579Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9501970Z 2025-09-07T08:16:31.9502091Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9502450Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9502769Z return mod(*inputs) 2025-09-07T08:16:31.9503087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9503436Z features = self.features(x) 2025-09-07T08:16:31.9503770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9504127Z new_features = layer(features) 2025-09-07T08:16:31.9504466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9504857Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9505048Z 2025-09-07T08:16:31.9505152Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9505499Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9505816Z return mod(*inputs) 2025-09-07T08:16:31.9506118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9506459Z features = self.features(x) 2025-09-07T08:16:31.9506785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9507130Z new_features = layer(features) 2025-09-07T08:16:31.9507467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9507866Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9508058Z 2025-09-07T08:16:31.9508158Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9508507Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9508823Z return mod(*inputs) 2025-09-07T08:16:31.9509129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9509474Z features = self.features(x) 2025-09-07T08:16:31.9509797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9510135Z new_features = layer(features) 2025-09-07T08:16:31.9510473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9510871Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9511061Z 2025-09-07T08:16:31.9511162Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9511512Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9511832Z return mod(*inputs) 2025-09-07T08:16:31.9512142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9512483Z features = self.features(x) 2025-09-07T08:16:31.9512810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9513152Z new_features = layer(features) 2025-09-07T08:16:31.9513486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9513879Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9514134Z 2025-09-07T08:16:31.9514237Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9514582Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9514899Z return mod(*inputs) 2025-09-07T08:16:31.9515243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9515575Z features = self.features(x) 2025-09-07T08:16:31.9515905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9516244Z new_features = layer(features) 2025-09-07T08:16:31.9516577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9516939Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9517316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9517682Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9517817Z 2025-09-07T08:16:31.9517925Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9518273Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9518582Z return mod(*inputs) 2025-09-07T08:16:31.9518894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9519231Z features = self.features(x) 2025-09-07T08:16:31.9519551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9519887Z new_features = layer(features) 2025-09-07T08:16:31.9520212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9520577Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9520954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9521399Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9521618Z 2025-09-07T08:16:31.9521723Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9522075Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9522390Z return mod(*inputs) 2025-09-07T08:16:31.9522704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9523047Z features = self.features(x) 2025-09-07T08:16:31.9523366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9523715Z new_features = layer(features) 2025-09-07T08:16:31.9524049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9524447Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9524628Z 2025-09-07T08:16:31.9524738Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9525079Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9525388Z return mod(*inputs) 2025-09-07T08:16:31.9525700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9526041Z features = self.features(x) 2025-09-07T08:16:31.9526358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9526698Z new_features = layer(features) 2025-09-07T08:16:31.9527027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9527464Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9527648Z 2025-09-07T08:16:31.9527758Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9528125Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9528437Z return mod(*inputs) 2025-09-07T08:16:31.9528747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9529086Z features = self.features(x) 2025-09-07T08:16:31.9529405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9529744Z new_features = layer(features) 2025-09-07T08:16:31.9530075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9530479Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9530662Z 2025-09-07T08:16:31.9530774Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9531112Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9531426Z return mod(*inputs) 2025-09-07T08:16:31.9531737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9532076Z features = self.features(x) 2025-09-07T08:16:31.9532391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9532727Z new_features = layer(features) 2025-09-07T08:16:31.9533060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9533458Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9533642Z 2025-09-07T08:16:31.9533730Z cudagraph partition due to non gpu ops 2025-09-07T08:16:31.9533967Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9534300Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9534613Z return mod(*inputs) 2025-09-07T08:16:31.9534922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9535261Z features = self.features(x) 2025-09-07T08:16:31.9535585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 124, in forward 2025-09-07T08:16:31.9535922Z return torch.cat(features, 1) 2025-09-07T08:16:31.9536049Z 2025-09-07T08:16:31.9536148Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9536490Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9536801Z return mod(*inputs) 2025-09-07T08:16:31.9537106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9537442Z features = self.features(x) 2025-09-07T08:16:31.9537558Z 2025-09-07T08:16:31.9537656Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9537998Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9538303Z return mod(*inputs) 2025-09-07T08:16:31.9538605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9538940Z features = self.features(x) 2025-09-07T08:16:31.9539053Z 2025-09-07T08:16:31.9539152Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9539491Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9539790Z return mod(*inputs) 2025-09-07T08:16:31.9540134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9540476Z features = self.features(x) 2025-09-07T08:16:31.9540585Z 2025-09-07T08:16:31.9540692Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9541071Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9541377Z return mod(*inputs) 2025-09-07T08:16:31.9541687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9542030Z features = self.features(x) 2025-09-07T08:16:31.9542349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9542681Z new_features = layer(features) 2025-09-07T08:16:31.9543019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9543420Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9543605Z 2025-09-07T08:16:31.9543715Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9544061Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9544368Z return mod(*inputs) 2025-09-07T08:16:31.9544682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9545026Z features = self.features(x) 2025-09-07T08:16:31.9545351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9545691Z new_features = layer(features) 2025-09-07T08:16:31.9546011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9546415Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9546606Z 2025-09-07T08:16:31.9546707Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9547058Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9547364Z return mod(*inputs) 2025-09-07T08:16:31.9547686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9548029Z features = self.features(x) 2025-09-07T08:16:31.9548354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9548696Z new_features = layer(features) 2025-09-07T08:16:31.9549063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9549466Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9549658Z 2025-09-07T08:16:31.9549762Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9550108Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9550411Z return mod(*inputs) 2025-09-07T08:16:31.9550726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9551064Z features = self.features(x) 2025-09-07T08:16:31.9551386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9551725Z new_features = layer(features) 2025-09-07T08:16:31.9552050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9552451Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9552639Z 2025-09-07T08:16:31.9552738Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9553116Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9553434Z return mod(*inputs) 2025-09-07T08:16:31.9553726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9554055Z features = self.features(x) 2025-09-07T08:16:31.9554397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9554725Z new_features = layer(features) 2025-09-07T08:16:31.9555040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9555402Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9555768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9556117Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9556251Z 2025-09-07T08:16:31.9556354Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9556680Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9557071Z return mod(*inputs) 2025-09-07T08:16:31.9557385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9557722Z features = self.features(x) 2025-09-07T08:16:31.9558034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9558371Z new_features = layer(features) 2025-09-07T08:16:31.9558699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9559064Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9559438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9559871Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9560095Z 2025-09-07T08:16:31.9560193Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9560534Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9560845Z return mod(*inputs) 2025-09-07T08:16:31.9561151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9561478Z features = self.features(x) 2025-09-07T08:16:31.9561792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9562124Z new_features = layer(features) 2025-09-07T08:16:31.9562444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9562824Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9563015Z 2025-09-07T08:16:31.9563114Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9563452Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9563756Z return mod(*inputs) 2025-09-07T08:16:31.9564066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9564391Z features = self.features(x) 2025-09-07T08:16:31.9564710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9565046Z new_features = layer(features) 2025-09-07T08:16:31.9565370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9565750Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9565998Z 2025-09-07T08:16:31.9566097Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9566434Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9566738Z return mod(*inputs) 2025-09-07T08:16:31.9567082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9567409Z features = self.features(x) 2025-09-07T08:16:31.9567735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9568074Z new_features = layer(features) 2025-09-07T08:16:31.9568408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9568801Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9568983Z 2025-09-07T08:16:31.9569083Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9569427Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9569734Z return mod(*inputs) 2025-09-07T08:16:31.9570039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9570370Z features = self.features(x) 2025-09-07T08:16:31.9570695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9571032Z new_features = layer(features) 2025-09-07T08:16:31.9571357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9571747Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9571926Z 2025-09-07T08:16:31.9572028Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9572370Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9572678Z return mod(*inputs) 2025-09-07T08:16:31.9572988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9573324Z features = self.features(x) 2025-09-07T08:16:31.9573650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9573998Z new_features = layer(features) 2025-09-07T08:16:31.9574332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9574697Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9575060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9575418Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9575562Z 2025-09-07T08:16:31.9575670Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9576012Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9576322Z return mod(*inputs) 2025-09-07T08:16:31.9576625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9576964Z features = self.features(x) 2025-09-07T08:16:31.9577289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9577624Z new_features = layer(features) 2025-09-07T08:16:31.9577943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9578310Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9578681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9579145Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9579357Z 2025-09-07T08:16:31.9579461Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9579789Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9580120Z return mod(*inputs) 2025-09-07T08:16:31.9580425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9580760Z features = self.features(x) 2025-09-07T08:16:31.9581073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9581410Z new_features = layer(features) 2025-09-07T08:16:31.9581733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9582124Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9582306Z 2025-09-07T08:16:31.9582412Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9582742Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9583052Z return mod(*inputs) 2025-09-07T08:16:31.9583358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9583689Z features = self.features(x) 2025-09-07T08:16:31.9584004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9584324Z new_features = layer(features) 2025-09-07T08:16:31.9584644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9585028Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9585202Z 2025-09-07T08:16:31.9585310Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9585636Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9585939Z return mod(*inputs) 2025-09-07T08:16:31.9586246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9586577Z features = self.features(x) 2025-09-07T08:16:31.9586893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9587215Z new_features = layer(features) 2025-09-07T08:16:31.9587538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9587923Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9588100Z 2025-09-07T08:16:31.9588203Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9588542Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9588839Z return mod(*inputs) 2025-09-07T08:16:31.9589145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9589483Z features = self.features(x) 2025-09-07T08:16:31.9589798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9590122Z new_features = layer(features) 2025-09-07T08:16:31.9590448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9590832Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9591010Z 2025-09-07T08:16:31.9591114Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9591451Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9591784Z return mod(*inputs) 2025-09-07T08:16:31.9592091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9592426Z features = self.features(x) 2025-09-07T08:16:31.9592768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9593089Z new_features = layer(features) 2025-09-07T08:16:31.9593412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9593769Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9594135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9594493Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9594624Z 2025-09-07T08:16:31.9594723Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9595062Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9595365Z return mod(*inputs) 2025-09-07T08:16:31.9595668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9596001Z features = self.features(x) 2025-09-07T08:16:31.9596309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9596638Z new_features = layer(features) 2025-09-07T08:16:31.9596961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9597319Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9597676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9598104Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9598323Z 2025-09-07T08:16:31.9598421Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9598757Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9599063Z return mod(*inputs) 2025-09-07T08:16:31.9599363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9599696Z features = self.features(x) 2025-09-07T08:16:31.9600018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9600348Z new_features = layer(features) 2025-09-07T08:16:31.9600667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9601052Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9601227Z 2025-09-07T08:16:31.9601326Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9601658Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9601951Z return mod(*inputs) 2025-09-07T08:16:31.9602248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9602568Z features = self.features(x) 2025-09-07T08:16:31.9602883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9603210Z new_features = layer(features) 2025-09-07T08:16:31.9603530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9603903Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9604073Z 2025-09-07T08:16:31.9604170Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9604533Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9604840Z return mod(*inputs) 2025-09-07T08:16:31.9605142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9605509Z features = self.features(x) 2025-09-07T08:16:31.9605812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9606133Z new_features = layer(features) 2025-09-07T08:16:31.9606440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9606824Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9606997Z 2025-09-07T08:16:31.9607094Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9607425Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9607720Z return mod(*inputs) 2025-09-07T08:16:31.9608020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9608342Z features = self.features(x) 2025-09-07T08:16:31.9608653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9608980Z new_features = layer(features) 2025-09-07T08:16:31.9609297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9609678Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9609851Z 2025-09-07T08:16:31.9609954Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9610276Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9610580Z return mod(*inputs) 2025-09-07T08:16:31.9610876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9611198Z features = self.features(x) 2025-09-07T08:16:31.9611507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9611839Z new_features = layer(features) 2025-09-07T08:16:31.9612158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9612511Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9612870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9613213Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9613347Z 2025-09-07T08:16:31.9613443Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9613777Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9614075Z return mod(*inputs) 2025-09-07T08:16:31.9614369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9614698Z features = self.features(x) 2025-09-07T08:16:31.9615011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9615336Z new_features = layer(features) 2025-09-07T08:16:31.9615652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9615999Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9616354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9616781Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9617015Z 2025-09-07T08:16:31.9617121Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9617457Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9617748Z return mod(*inputs) 2025-09-07T08:16:31.9618075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9618403Z features = self.features(x) 2025-09-07T08:16:31.9618719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9619043Z new_features = layer(features) 2025-09-07T08:16:31.9619358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9619735Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9619913Z 2025-09-07T08:16:31.9620019Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9620347Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9620636Z return mod(*inputs) 2025-09-07T08:16:31.9620941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9621269Z features = self.features(x) 2025-09-07T08:16:31.9621576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9621896Z new_features = layer(features) 2025-09-07T08:16:31.9622214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9622594Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9622765Z 2025-09-07T08:16:31.9622867Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9623206Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9623496Z return mod(*inputs) 2025-09-07T08:16:31.9623796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9624126Z features = self.features(x) 2025-09-07T08:16:31.9624436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9624752Z new_features = layer(features) 2025-09-07T08:16:31.9625068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9625446Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9625622Z 2025-09-07T08:16:31.9625727Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9626057Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9626355Z return mod(*inputs) 2025-09-07T08:16:31.9626653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9626985Z features = self.features(x) 2025-09-07T08:16:31.9627299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9627629Z new_features = layer(features) 2025-09-07T08:16:31.9627943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9628328Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9628507Z 2025-09-07T08:16:31.9628606Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9628940Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9629234Z return mod(*inputs) 2025-09-07T08:16:31.9629561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9629890Z features = self.features(x) 2025-09-07T08:16:31.9630201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9630557Z new_features = layer(features) 2025-09-07T08:16:31.9630872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9631227Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9631591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9631939Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9632069Z 2025-09-07T08:16:31.9632164Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9632497Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9632803Z return mod(*inputs) 2025-09-07T08:16:31.9633101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9633426Z features = self.features(x) 2025-09-07T08:16:31.9633735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9634064Z new_features = layer(features) 2025-09-07T08:16:31.9634382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9634739Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9635098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9635517Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9635738Z 2025-09-07T08:16:31.9635836Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9636170Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9636467Z return mod(*inputs) 2025-09-07T08:16:31.9636764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9637094Z features = self.features(x) 2025-09-07T08:16:31.9637408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9637740Z new_features = layer(features) 2025-09-07T08:16:31.9638065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9638437Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9638618Z 2025-09-07T08:16:31.9638713Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9639048Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9639345Z return mod(*inputs) 2025-09-07T08:16:31.9639640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9639971Z features = self.features(x) 2025-09-07T08:16:31.9640278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9640605Z new_features = layer(features) 2025-09-07T08:16:31.9640923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9641303Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9641487Z 2025-09-07T08:16:31.9641584Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9641913Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9642253Z return mod(*inputs) 2025-09-07T08:16:31.9642553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9642869Z features = self.features(x) 2025-09-07T08:16:31.9643209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9643537Z new_features = layer(features) 2025-09-07T08:16:31.9643855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9644233Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9644417Z 2025-09-07T08:16:31.9644515Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9644849Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9645154Z return mod(*inputs) 2025-09-07T08:16:31.9645453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9645775Z features = self.features(x) 2025-09-07T08:16:31.9646089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9646414Z new_features = layer(features) 2025-09-07T08:16:31.9646733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9647101Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9647285Z 2025-09-07T08:16:31.9647383Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9647719Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9648016Z return mod(*inputs) 2025-09-07T08:16:31.9648320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9648641Z features = self.features(x) 2025-09-07T08:16:31.9648956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9649284Z new_features = layer(features) 2025-09-07T08:16:31.9649607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9649955Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9650309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9650651Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9650786Z 2025-09-07T08:16:31.9650880Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9651213Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9651509Z return mod(*inputs) 2025-09-07T08:16:31.9651805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9652133Z features = self.features(x) 2025-09-07T08:16:31.9652451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9652776Z new_features = layer(features) 2025-09-07T08:16:31.9653088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9653443Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9653798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9654222Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9654460Z 2025-09-07T08:16:31.9654560Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9654889Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9655184Z return mod(*inputs) 2025-09-07T08:16:31.9655527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9655852Z features = self.features(x) 2025-09-07T08:16:31.9656158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9656487Z new_features = layer(features) 2025-09-07T08:16:31.9656864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9657257Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9657432Z 2025-09-07T08:16:31.9657533Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9657867Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9658167Z return mod(*inputs) 2025-09-07T08:16:31.9658471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9658812Z features = self.features(x) 2025-09-07T08:16:31.9659123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9659457Z new_features = layer(features) 2025-09-07T08:16:31.9659776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9660158Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9660335Z 2025-09-07T08:16:31.9660438Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9660770Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9661077Z return mod(*inputs) 2025-09-07T08:16:31.9661376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9661708Z features = self.features(x) 2025-09-07T08:16:31.9662015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9662344Z new_features = layer(features) 2025-09-07T08:16:31.9662663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9663046Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9663225Z 2025-09-07T08:16:31.9663325Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9663651Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9663957Z return mod(*inputs) 2025-09-07T08:16:31.9664262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9664589Z features = self.features(x) 2025-09-07T08:16:31.9664902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9665223Z new_features = layer(features) 2025-09-07T08:16:31.9665544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9665923Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9666097Z 2025-09-07T08:16:31.9666202Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9666527Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9666824Z return mod(*inputs) 2025-09-07T08:16:31.9667131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9667514Z features = self.features(x) 2025-09-07T08:16:31.9667828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9668150Z new_features = layer(features) 2025-09-07T08:16:31.9668551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9668913Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9669279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9669631Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9669771Z 2025-09-07T08:16:31.9669869Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9670208Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9670515Z return mod(*inputs) 2025-09-07T08:16:31.9670821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9671145Z features = self.features(x) 2025-09-07T08:16:31.9671473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9671812Z new_features = layer(features) 2025-09-07T08:16:31.9672138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9672499Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9672854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9673287Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9673506Z 2025-09-07T08:16:31.9673604Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9673944Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9674243Z return mod(*inputs) 2025-09-07T08:16:31.9674556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9674890Z features = self.features(x) 2025-09-07T08:16:31.9675207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9675539Z new_features = layer(features) 2025-09-07T08:16:31.9675858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9676248Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9676431Z 2025-09-07T08:16:31.9676527Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9676867Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9677171Z return mod(*inputs) 2025-09-07T08:16:31.9677469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9677802Z features = self.features(x) 2025-09-07T08:16:31.9678124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9678459Z new_features = layer(features) 2025-09-07T08:16:31.9678775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9679159Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9679341Z 2025-09-07T08:16:31.9679436Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9679769Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9680106Z return mod(*inputs) 2025-09-07T08:16:31.9680400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9680731Z features = self.features(x) 2025-09-07T08:16:31.9681075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9681403Z new_features = layer(features) 2025-09-07T08:16:31.9681716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9682102Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9682284Z 2025-09-07T08:16:31.9682383Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9682720Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9683022Z return mod(*inputs) 2025-09-07T08:16:31.9683319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9683647Z features = self.features(x) 2025-09-07T08:16:31.9683964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9684299Z new_features = layer(features) 2025-09-07T08:16:31.9684618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9685003Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9685184Z 2025-09-07T08:16:31.9685283Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9685618Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9685934Z return mod(*inputs) 2025-09-07T08:16:31.9686232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9686573Z features = self.features(x) 2025-09-07T08:16:31.9686893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9687227Z new_features = layer(features) 2025-09-07T08:16:31.9687549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9687903Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9688274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9688628Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9688761Z 2025-09-07T08:16:31.9688865Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9689195Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9689503Z return mod(*inputs) 2025-09-07T08:16:31.9689806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9690135Z features = self.features(x) 2025-09-07T08:16:31.9690450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9690774Z new_features = layer(features) 2025-09-07T08:16:31.9691094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9691451Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9691817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9692247Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9692465Z 2025-09-07T08:16:31.9692564Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9692933Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9693236Z return mod(*inputs) 2025-09-07T08:16:31.9693539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9693900Z features = self.features(x) 2025-09-07T08:16:31.9694221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9694551Z new_features = layer(features) 2025-09-07T08:16:31.9694875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9695262Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9695438Z 2025-09-07T08:16:31.9695534Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9695871Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9696176Z return mod(*inputs) 2025-09-07T08:16:31.9696481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9696806Z features = self.features(x) 2025-09-07T08:16:31.9697126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9697459Z new_features = layer(features) 2025-09-07T08:16:31.9697785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9698168Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9698343Z 2025-09-07T08:16:31.9698439Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9698773Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9699080Z return mod(*inputs) 2025-09-07T08:16:31.9699382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9699713Z features = self.features(x) 2025-09-07T08:16:31.9700024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9700352Z new_features = layer(features) 2025-09-07T08:16:31.9700677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9701064Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9701239Z 2025-09-07T08:16:31.9701335Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9701670Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9701976Z return mod(*inputs) 2025-09-07T08:16:31.9702278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9702617Z features = self.features(x) 2025-09-07T08:16:31.9702927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9703262Z new_features = layer(features) 2025-09-07T08:16:31.9703589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9703973Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9704146Z 2025-09-07T08:16:31.9704242Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9704575Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9704875Z return mod(*inputs) 2025-09-07T08:16:31.9705176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9705544Z features = self.features(x) 2025-09-07T08:16:31.9705850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9706186Z new_features = layer(features) 2025-09-07T08:16:31.9706535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9706895Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9707253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9707603Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9707744Z 2025-09-07T08:16:31.9707842Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9708177Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9708480Z return mod(*inputs) 2025-09-07T08:16:31.9708779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9709110Z features = self.features(x) 2025-09-07T08:16:31.9709426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9709764Z new_features = layer(features) 2025-09-07T08:16:31.9710084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9710433Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9710795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9711220Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9711427Z 2025-09-07T08:16:31.9711530Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9711862Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9712163Z return mod(*inputs) 2025-09-07T08:16:31.9712461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9712794Z features = self.features(x) 2025-09-07T08:16:31.9713109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9713426Z new_features = layer(features) 2025-09-07T08:16:31.9713744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9714130Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9714305Z 2025-09-07T08:16:31.9714409Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9714743Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9715038Z return mod(*inputs) 2025-09-07T08:16:31.9715344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9715674Z features = self.features(x) 2025-09-07T08:16:31.9715984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9716307Z new_features = layer(features) 2025-09-07T08:16:31.9716623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9717004Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9717178Z 2025-09-07T08:16:31.9717280Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9717613Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9717905Z return mod(*inputs) 2025-09-07T08:16:31.9718232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9718558Z features = self.features(x) 2025-09-07T08:16:31.9718876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9719228Z new_features = layer(features) 2025-09-07T08:16:31.9719552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9719933Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9720109Z 2025-09-07T08:16:31.9720214Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9720551Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9720848Z return mod(*inputs) 2025-09-07T08:16:31.9721152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9721483Z features = self.features(x) 2025-09-07T08:16:31.9721798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9722130Z new_features = layer(features) 2025-09-07T08:16:31.9722443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9722832Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9723014Z 2025-09-07T08:16:31.9723111Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9723443Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9723738Z return mod(*inputs) 2025-09-07T08:16:31.9724041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9724378Z features = self.features(x) 2025-09-07T08:16:31.9724693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9725026Z new_features = layer(features) 2025-09-07T08:16:31.9725341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9725697Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9726060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9726409Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9726538Z 2025-09-07T08:16:31.9726636Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9726971Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9727281Z return mod(*inputs) 2025-09-07T08:16:31.9727578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9727909Z features = self.features(x) 2025-09-07T08:16:31.9728216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9728548Z new_features = layer(features) 2025-09-07T08:16:31.9728869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9729226Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9729584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9730011Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9730232Z 2025-09-07T08:16:31.9730331Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9730669Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9731006Z return mod(*inputs) 2025-09-07T08:16:31.9731302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9731633Z features = self.features(x) 2025-09-07T08:16:31.9731981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9732316Z new_features = layer(features) 2025-09-07T08:16:31.9732635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9733013Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9733199Z 2025-09-07T08:16:31.9733298Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9733629Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9733934Z return mod(*inputs) 2025-09-07T08:16:31.9734227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9734558Z features = self.features(x) 2025-09-07T08:16:31.9734875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9735208Z new_features = layer(features) 2025-09-07T08:16:31.9735529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9735912Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9736096Z 2025-09-07T08:16:31.9736193Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9736528Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9736829Z return mod(*inputs) 2025-09-07T08:16:31.9737134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9737458Z features = self.features(x) 2025-09-07T08:16:31.9737778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9738115Z new_features = layer(features) 2025-09-07T08:16:31.9738437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9738813Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9738998Z 2025-09-07T08:16:31.9739093Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9739429Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9739731Z return mod(*inputs) 2025-09-07T08:16:31.9740030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9740353Z features = self.features(x) 2025-09-07T08:16:31.9740673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9741003Z new_features = layer(features) 2025-09-07T08:16:31.9741326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9741704Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9741888Z 2025-09-07T08:16:31.9741983Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9742322Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9742624Z return mod(*inputs) 2025-09-07T08:16:31.9742924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9743248Z features = self.features(x) 2025-09-07T08:16:31.9743594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9743922Z new_features = layer(features) 2025-09-07T08:16:31.9744243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9744628Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9744986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9745342Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9745481Z 2025-09-07T08:16:31.9745578Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9745911Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9746209Z return mod(*inputs) 2025-09-07T08:16:31.9746513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9746848Z features = self.features(x) 2025-09-07T08:16:31.9747162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9747493Z new_features = layer(features) 2025-09-07T08:16:31.9747815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9748175Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9748542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9748977Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9749190Z 2025-09-07T08:16:31.9749294Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9749622Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9749928Z return mod(*inputs) 2025-09-07T08:16:31.9750233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9750566Z features = self.features(x) 2025-09-07T08:16:31.9750877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9751210Z new_features = layer(features) 2025-09-07T08:16:31.9751535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9751922Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9752098Z 2025-09-07T08:16:31.9752594Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9752922Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9753229Z return mod(*inputs) 2025-09-07T08:16:31.9753538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9753866Z features = self.features(x) 2025-09-07T08:16:31.9754174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9754504Z new_features = layer(features) 2025-09-07T08:16:31.9754828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9755215Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9755218Z 2025-09-07T08:16:31.9755316Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9755506Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9755567Z return mod(*inputs) 2025-09-07T08:16:31.9755775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9755887Z features = self.features(x) 2025-09-07T08:16:31.9756088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9756160Z new_features = layer(features) 2025-09-07T08:16:31.9756396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9756526Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9756529Z 2025-09-07T08:16:31.9756625Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9756863Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9756938Z return mod(*inputs) 2025-09-07T08:16:31.9757142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9757219Z features = self.features(x) 2025-09-07T08:16:31.9757420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9757486Z new_features = layer(features) 2025-09-07T08:16:31.9757695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9757818Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9757821Z 2025-09-07T08:16:31.9757906Z cudagraph partition due to non gpu ops 2025-09-07T08:16:31.9757984Z cudagraph partition due to non gpu ops 2025-09-07T08:16:31.9758056Z cudagraph partition due to non gpu ops 2025-09-07T08:16:31.9758137Z cudagraph partition due to non gpu ops 2025-09-07T08:16:31.9758208Z cudagraph partition due to non gpu ops 2025-09-07T08:16:31.9758289Z cudagraph partition due to non gpu ops 2025-09-07T08:16:31.9758389Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9758573Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9758645Z return mod(*inputs) 2025-09-07T08:16:31.9758849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9758931Z features = self.features(x) 2025-09-07T08:16:31.9759137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 124, in forward 2025-09-07T08:16:31.9759216Z return torch.cat(features, 1) 2025-09-07T08:16:31.9759219Z 2025-09-07T08:16:31.9759314Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9759492Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9759561Z return mod(*inputs) 2025-09-07T08:16:31.9759766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9759845Z features = self.features(x) 2025-09-07T08:16:31.9759847Z 2025-09-07T08:16:31.9759943Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9760126Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9760196Z return mod(*inputs) 2025-09-07T08:16:31.9760398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9760472Z features = self.features(x) 2025-09-07T08:16:31.9760474Z 2025-09-07T08:16:31.9760568Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9760745Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9760812Z return mod(*inputs) 2025-09-07T08:16:31.9761014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9761088Z features = self.features(x) 2025-09-07T08:16:31.9761140Z 2025-09-07T08:16:31.9761237Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9761422Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9761483Z return mod(*inputs) 2025-09-07T08:16:31.9761727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9761802Z features = self.features(x) 2025-09-07T08:16:31.9762003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9762077Z new_features = layer(features) 2025-09-07T08:16:31.9762281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9762405Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9762408Z 2025-09-07T08:16:31.9762511Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9762696Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9762770Z return mod(*inputs) 2025-09-07T08:16:31.9762974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9763042Z features = self.features(x) 2025-09-07T08:16:31.9763252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9763322Z new_features = layer(features) 2025-09-07T08:16:31.9763530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9763652Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9763654Z 2025-09-07T08:16:31.9763757Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9763936Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9763999Z return mod(*inputs) 2025-09-07T08:16:31.9764208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9764273Z features = self.features(x) 2025-09-07T08:16:31.9764481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9764550Z new_features = layer(features) 2025-09-07T08:16:31.9764751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9764882Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9764885Z 2025-09-07T08:16:31.9764979Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9765168Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9765230Z return mod(*inputs) 2025-09-07T08:16:31.9765432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9765507Z features = self.features(x) 2025-09-07T08:16:31.9765712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9765787Z new_features = layer(features) 2025-09-07T08:16:31.9765986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9766115Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9766118Z 2025-09-07T08:16:31.9766212Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9766391Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9766459Z return mod(*inputs) 2025-09-07T08:16:31.9766695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9766767Z features = self.features(x) 2025-09-07T08:16:31.9766968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9767063Z new_features = layer(features) 2025-09-07T08:16:31.9767275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9767371Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9767589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9767669Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9767672Z 2025-09-07T08:16:31.9767774Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9767956Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9768019Z return mod(*inputs) 2025-09-07T08:16:31.9768227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9768293Z features = self.features(x) 2025-09-07T08:16:31.9768502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9768571Z new_features = layer(features) 2025-09-07T08:16:31.9768773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9768877Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9769087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9769251Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9769256Z 2025-09-07T08:16:31.9769352Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9769531Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9769602Z return mod(*inputs) 2025-09-07T08:16:31.9769804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9769877Z features = self.features(x) 2025-09-07T08:16:31.9770075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9770151Z new_features = layer(features) 2025-09-07T08:16:31.9770351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9770475Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9770478Z 2025-09-07T08:16:31.9770584Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9770766Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9770834Z return mod(*inputs) 2025-09-07T08:16:31.9771036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9771103Z features = self.features(x) 2025-09-07T08:16:31.9771312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9771381Z new_features = layer(features) 2025-09-07T08:16:31.9771587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9771709Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9771712Z 2025-09-07T08:16:31.9771807Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9771999Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9772091Z return mod(*inputs) 2025-09-07T08:16:31.9772297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9772363Z features = self.features(x) 2025-09-07T08:16:31.9772613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9772682Z new_features = layer(features) 2025-09-07T08:16:31.9772884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9773015Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9773018Z 2025-09-07T08:16:31.9773115Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9773307Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9773372Z return mod(*inputs) 2025-09-07T08:16:31.9773573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9773646Z features = self.features(x) 2025-09-07T08:16:31.9773852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9773929Z new_features = layer(features) 2025-09-07T08:16:31.9774128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9774248Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9774260Z 2025-09-07T08:16:31.9774354Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9774537Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9774608Z return mod(*inputs) 2025-09-07T08:16:31.9774810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9774886Z features = self.features(x) 2025-09-07T08:16:31.9775090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9775157Z new_features = layer(features) 2025-09-07T08:16:31.9775369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9775467Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9775688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9775769Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9775772Z 2025-09-07T08:16:31.9775867Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9776056Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9776121Z return mod(*inputs) 2025-09-07T08:16:31.9776332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9776399Z features = self.features(x) 2025-09-07T08:16:31.9776604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9776681Z new_features = layer(features) 2025-09-07T08:16:31.9776883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9776985Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9777198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9777361Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9777364Z 2025-09-07T08:16:31.9777491Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9777672Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9777741Z return mod(*inputs) 2025-09-07T08:16:31.9777968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9778041Z features = self.features(x) 2025-09-07T08:16:31.9778241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9778307Z new_features = layer(features) 2025-09-07T08:16:31.9778515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9778637Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9778640Z 2025-09-07T08:16:31.9778744Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9778929Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9778997Z return mod(*inputs) 2025-09-07T08:16:31.9779198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9779264Z features = self.features(x) 2025-09-07T08:16:31.9779473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9779538Z new_features = layer(features) 2025-09-07T08:16:31.9779744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9779864Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9779867Z 2025-09-07T08:16:31.9779963Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9780150Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9780213Z return mod(*inputs) 2025-09-07T08:16:31.9780423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9780487Z features = self.features(x) 2025-09-07T08:16:31.9780689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9780764Z new_features = layer(features) 2025-09-07T08:16:31.9780965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9781095Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9781098Z 2025-09-07T08:16:31.9781192Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9781381Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9781443Z return mod(*inputs) 2025-09-07T08:16:31.9781646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9781722Z features = self.features(x) 2025-09-07T08:16:31.9781923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9782000Z new_features = layer(features) 2025-09-07T08:16:31.9782200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9782323Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9782325Z 2025-09-07T08:16:31.9782426Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9782608Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9782675Z return mod(*inputs) 2025-09-07T08:16:31.9782875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9782996Z features = self.features(x) 2025-09-07T08:16:31.9783203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9783269Z new_features = layer(features) 2025-09-07T08:16:31.9783504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9783601Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9783821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9783901Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9783904Z 2025-09-07T08:16:31.9784001Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9784189Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9784254Z return mod(*inputs) 2025-09-07T08:16:31.9784464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9784530Z features = self.features(x) 2025-09-07T08:16:31.9784733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9784808Z new_features = layer(features) 2025-09-07T08:16:31.9785008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9785115Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9785326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9785483Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9785493Z 2025-09-07T08:16:31.9785589Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9785776Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9785848Z return mod(*inputs) 2025-09-07T08:16:31.9786049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9786125Z features = self.features(x) 2025-09-07T08:16:31.9786327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9786395Z new_features = layer(features) 2025-09-07T08:16:31.9786601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9786724Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9786727Z 2025-09-07T08:16:31.9786829Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9787010Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9787073Z return mod(*inputs) 2025-09-07T08:16:31.9787281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9787346Z features = self.features(x) 2025-09-07T08:16:31.9787557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9787625Z new_features = layer(features) 2025-09-07T08:16:31.9787834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9787957Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9787960Z 2025-09-07T08:16:31.9788055Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9788245Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9788335Z return mod(*inputs) 2025-09-07T08:16:31.9788546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9788614Z features = self.features(x) 2025-09-07T08:16:31.9788837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9788914Z new_features = layer(features) 2025-09-07T08:16:31.9789116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9789245Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9789248Z 2025-09-07T08:16:31.9789343Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9789523Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9789591Z return mod(*inputs) 2025-09-07T08:16:31.9789791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9789868Z features = self.features(x) 2025-09-07T08:16:31.9790068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9790146Z new_features = layer(features) 2025-09-07T08:16:31.9790349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9790470Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9790473Z 2025-09-07T08:16:31.9790575Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9790757Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9790824Z return mod(*inputs) 2025-09-07T08:16:31.9791026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9791093Z features = self.features(x) 2025-09-07T08:16:31.9791300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9791367Z new_features = layer(features) 2025-09-07T08:16:31.9791576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9791672Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9791883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9791972Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9791975Z 2025-09-07T08:16:31.9792071Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9792264Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9792326Z return mod(*inputs) 2025-09-07T08:16:31.9792537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9792601Z features = self.features(x) 2025-09-07T08:16:31.9792800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9792873Z new_features = layer(features) 2025-09-07T08:16:31.9793072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9793175Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9793385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9793538Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9793541Z 2025-09-07T08:16:31.9793642Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9793848Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9793917Z return mod(*inputs) 2025-09-07T08:16:31.9794117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9794227Z features = self.features(x) 2025-09-07T08:16:31.9794432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9794497Z new_features = layer(features) 2025-09-07T08:16:31.9794706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9794828Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9794830Z 2025-09-07T08:16:31.9794936Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9795120Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9795185Z return mod(*inputs) 2025-09-07T08:16:31.9795399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9795466Z features = self.features(x) 2025-09-07T08:16:31.9795682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9795750Z new_features = layer(features) 2025-09-07T08:16:31.9795954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9796084Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9796087Z 2025-09-07T08:16:31.9796182Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9796370Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9796430Z return mod(*inputs) 2025-09-07T08:16:31.9796643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9796707Z features = self.features(x) 2025-09-07T08:16:31.9796914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9796993Z new_features = layer(features) 2025-09-07T08:16:31.9797194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9797321Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9797324Z 2025-09-07T08:16:31.9797423Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9797602Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9797677Z return mod(*inputs) 2025-09-07T08:16:31.9797883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9797960Z features = self.features(x) 2025-09-07T08:16:31.9798168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9798235Z new_features = layer(features) 2025-09-07T08:16:31.9798446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9798567Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9798569Z 2025-09-07T08:16:31.9798673Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9798857Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9798928Z return mod(*inputs) 2025-09-07T08:16:31.9799130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9799223Z features = self.features(x) 2025-09-07T08:16:31.9799435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9799504Z new_features = layer(features) 2025-09-07T08:16:31.9799741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9799838Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9800048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9800136Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9800139Z 2025-09-07T08:16:31.9800236Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9800424Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9800485Z return mod(*inputs) 2025-09-07T08:16:31.9800685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9800761Z features = self.features(x) 2025-09-07T08:16:31.9800962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9801036Z new_features = layer(features) 2025-09-07T08:16:31.9801239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9801343Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9801552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9801708Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9801711Z 2025-09-07T08:16:31.9801817Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9801998Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9802073Z return mod(*inputs) 2025-09-07T08:16:31.9802274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9802340Z features = self.features(x) 2025-09-07T08:16:31.9802550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9802617Z new_features = layer(features) 2025-09-07T08:16:31.9802827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9802949Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9802951Z 2025-09-07T08:16:31.9803052Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9803230Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9803295Z return mod(*inputs) 2025-09-07T08:16:31.9803505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9803572Z features = self.features(x) 2025-09-07T08:16:31.9803781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9803848Z new_features = layer(features) 2025-09-07T08:16:31.9804047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9804177Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9804180Z 2025-09-07T08:16:31.9804275Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9804463Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9804525Z return mod(*inputs) 2025-09-07T08:16:31.9804726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9804827Z features = self.features(x) 2025-09-07T08:16:31.9805029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9805150Z new_features = layer(features) 2025-09-07T08:16:31.9805352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9805480Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9805483Z 2025-09-07T08:16:31.9805578Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9805758Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9805828Z return mod(*inputs) 2025-09-07T08:16:31.9806029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9806102Z features = self.features(x) 2025-09-07T08:16:31.9806300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9806365Z new_features = layer(features) 2025-09-07T08:16:31.9806575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9806696Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9806698Z 2025-09-07T08:16:31.9806802Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9806984Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9807045Z return mod(*inputs) 2025-09-07T08:16:31.9807252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9807318Z features = self.features(x) 2025-09-07T08:16:31.9807527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9807594Z new_features = layer(features) 2025-09-07T08:16:31.9807801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9807900Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9808110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9808200Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9808203Z 2025-09-07T08:16:31.9808297Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9808483Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9808543Z return mod(*inputs) 2025-09-07T08:16:31.9808742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9808821Z features = self.features(x) 2025-09-07T08:16:31.9809024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9809099Z new_features = layer(features) 2025-09-07T08:16:31.9809301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9809400Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9809621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9809777Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9809780Z 2025-09-07T08:16:31.9809886Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9810067Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9810163Z return mod(*inputs) 2025-09-07T08:16:31.9810364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9810434Z features = self.features(x) 2025-09-07T08:16:31.9810672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9810740Z new_features = layer(features) 2025-09-07T08:16:31.9810951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9811074Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9811077Z 2025-09-07T08:16:31.9811172Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9811363Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9811426Z return mod(*inputs) 2025-09-07T08:16:31.9811640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9811708Z features = self.features(x) 2025-09-07T08:16:31.9811922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9811992Z new_features = layer(features) 2025-09-07T08:16:31.9812192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9812321Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9812324Z 2025-09-07T08:16:31.9812421Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9812607Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9812668Z return mod(*inputs) 2025-09-07T08:16:31.9812875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9812952Z features = self.features(x) 2025-09-07T08:16:31.9813159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9813234Z new_features = layer(features) 2025-09-07T08:16:31.9813435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9813558Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9813569Z 2025-09-07T08:16:31.9813664Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9813847Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9813914Z return mod(*inputs) 2025-09-07T08:16:31.9814121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9814196Z features = self.features(x) 2025-09-07T08:16:31.9814400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9814466Z new_features = layer(features) 2025-09-07T08:16:31.9814679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9814802Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9814805Z 2025-09-07T08:16:31.9814909Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9815089Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9815150Z return mod(*inputs) 2025-09-07T08:16:31.9815362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9815429Z features = self.features(x) 2025-09-07T08:16:31.9815675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9815743Z new_features = layer(features) 2025-09-07T08:16:31.9815942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9816072Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9816285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9816372Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9816375Z 2025-09-07T08:16:31.9816470Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9816663Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9816724Z return mod(*inputs) 2025-09-07T08:16:31.9816929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9817007Z features = self.features(x) 2025-09-07T08:16:31.9817215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9817289Z new_features = layer(features) 2025-09-07T08:16:31.9817498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9817596Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9817819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9817976Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9817979Z 2025-09-07T08:16:31.9818081Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9818267Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9818337Z return mod(*inputs) 2025-09-07T08:16:31.9818545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9818614Z features = self.features(x) 2025-09-07T08:16:31.9818833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9818899Z new_features = layer(features) 2025-09-07T08:16:31.9819112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9819235Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9819238Z 2025-09-07T08:16:31.9819333Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9819525Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9819589Z return mod(*inputs) 2025-09-07T08:16:31.9819811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9819879Z features = self.features(x) 2025-09-07T08:16:31.9820082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9820160Z new_features = layer(features) 2025-09-07T08:16:31.9820365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9820497Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9820500Z 2025-09-07T08:16:31.9820600Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9820793Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9820855Z return mod(*inputs) 2025-09-07T08:16:31.9821064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9821165Z features = self.features(x) 2025-09-07T08:16:31.9821371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9821447Z new_features = layer(features) 2025-09-07T08:16:31.9821679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9821805Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9821807Z 2025-09-07T08:16:31.9821913Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9822095Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9822164Z return mod(*inputs) 2025-09-07T08:16:31.9822367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9822432Z features = self.features(x) 2025-09-07T08:16:31.9822645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9822713Z new_features = layer(features) 2025-09-07T08:16:31.9822923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9823046Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9823048Z 2025-09-07T08:16:31.9823151Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9823331Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9823393Z return mod(*inputs) 2025-09-07T08:16:31.9823599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9823666Z features = self.features(x) 2025-09-07T08:16:31.9823873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9823945Z new_features = layer(features) 2025-09-07T08:16:31.9824145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9824253Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9824467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9824556Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9824559Z 2025-09-07T08:16:31.9824654Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9824843Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9824908Z return mod(*inputs) 2025-09-07T08:16:31.9825107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9825185Z features = self.features(x) 2025-09-07T08:16:31.9825385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9825459Z new_features = layer(features) 2025-09-07T08:16:31.9825661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9825757Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9825976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9826133Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9826136Z 2025-09-07T08:16:31.9826238Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9826421Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9826512Z return mod(*inputs) 2025-09-07T08:16:31.9826722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9826789Z features = self.features(x) 2025-09-07T08:16:31.9827023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9827089Z new_features = layer(features) 2025-09-07T08:16:31.9827290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9827422Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9827425Z 2025-09-07T08:16:31.9827520Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9827711Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9827772Z return mod(*inputs) 2025-09-07T08:16:31.9827980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9828048Z features = self.features(x) 2025-09-07T08:16:31.9828253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9828328Z new_features = layer(features) 2025-09-07T08:16:31.9828533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9828664Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9828666Z 2025-09-07T08:16:31.9828763Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9828943Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9829014Z return mod(*inputs) 2025-09-07T08:16:31.9829221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9829294Z features = self.features(x) 2025-09-07T08:16:31.9829495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9829568Z new_features = layer(features) 2025-09-07T08:16:31.9829774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9829894Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9829897Z 2025-09-07T08:16:31.9830004Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9830185Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9830253Z return mod(*inputs) 2025-09-07T08:16:31.9830460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9830526Z features = self.features(x) 2025-09-07T08:16:31.9830740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9830808Z new_features = layer(features) 2025-09-07T08:16:31.9831017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9831141Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9831144Z 2025-09-07T08:16:31.9831249Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9831430Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9831491Z return mod(*inputs) 2025-09-07T08:16:31.9831702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9831767Z features = self.features(x) 2025-09-07T08:16:31.9831973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9832068Z new_features = layer(features) 2025-09-07T08:16:31.9832273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9832378Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9832618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9832709Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9832712Z 2025-09-07T08:16:31.9832808Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9832988Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9833058Z return mod(*inputs) 2025-09-07T08:16:31.9833262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9833337Z features = self.features(x) 2025-09-07T08:16:31.9833538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9833604Z new_features = layer(features) 2025-09-07T08:16:31.9833814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9833909Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9834125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9834282Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9834285Z 2025-09-07T08:16:31.9834388Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9834569Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9834631Z return mod(*inputs) 2025-09-07T08:16:31.9834842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9834907Z features = self.features(x) 2025-09-07T08:16:31.9835114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9835184Z new_features = layer(features) 2025-09-07T08:16:31.9835384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9835516Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9835519Z 2025-09-07T08:16:31.9835616Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9835802Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9835863Z return mod(*inputs) 2025-09-07T08:16:31.9836069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9836138Z features = self.features(x) 2025-09-07T08:16:31.9836340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9836415Z new_features = layer(features) 2025-09-07T08:16:31.9836617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9836748Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9836751Z 2025-09-07T08:16:31.9836849Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9837031Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9837100Z return mod(*inputs) 2025-09-07T08:16:31.9837303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9837418Z features = self.features(x) 2025-09-07T08:16:31.9837621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9837687Z new_features = layer(features) 2025-09-07T08:16:31.9837927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9838049Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9838052Z 2025-09-07T08:16:31.9838154Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9838335Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9838403Z return mod(*inputs) 2025-09-07T08:16:31.9838603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9838670Z features = self.features(x) 2025-09-07T08:16:31.9838878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9838947Z new_features = layer(features) 2025-09-07T08:16:31.9839154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9839280Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9839282Z 2025-09-07T08:16:31.9839377Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9839567Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9839629Z return mod(*inputs) 2025-09-07T08:16:31.9839838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9839903Z features = self.features(x) 2025-09-07T08:16:31.9840104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9840183Z new_features = layer(features) 2025-09-07T08:16:31.9840383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9840485Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9840696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9840784Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9840787Z 2025-09-07T08:16:31.9840882Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9841062Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9841132Z return mod(*inputs) 2025-09-07T08:16:31.9841332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9841404Z features = self.features(x) 2025-09-07T08:16:31.9841607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9841674Z new_features = layer(features) 2025-09-07T08:16:31.9841882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9841981Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9842195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9842350Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9842353Z 2025-09-07T08:16:31.9842455Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9842632Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9842690Z return mod(*inputs) 2025-09-07T08:16:31.9842898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9842992Z features = self.features(x) 2025-09-07T08:16:31.9843197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9843290Z new_features = layer(features) 2025-09-07T08:16:31.9843493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9843620Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9843623Z 2025-09-07T08:16:31.9843719Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9843910Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9843969Z return mod(*inputs) 2025-09-07T08:16:31.9844173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9844250Z features = self.features(x) 2025-09-07T08:16:31.9844452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9844528Z new_features = layer(features) 2025-09-07T08:16:31.9844731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9844859Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9844862Z 2025-09-07T08:16:31.9844957Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9845135Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9845205Z return mod(*inputs) 2025-09-07T08:16:31.9845404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9845478Z features = self.features(x) 2025-09-07T08:16:31.9845681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9845747Z new_features = layer(features) 2025-09-07T08:16:31.9845955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9846080Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9846083Z 2025-09-07T08:16:31.9846186Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9846368Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9846429Z return mod(*inputs) 2025-09-07T08:16:31.9846639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9846703Z features = self.features(x) 2025-09-07T08:16:31.9846914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9846985Z new_features = layer(features) 2025-09-07T08:16:31.9847191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9847315Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9847318Z 2025-09-07T08:16:31.9847413Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9847600Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9847661Z return mod(*inputs) 2025-09-07T08:16:31.9847869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9847937Z features = self.features(x) 2025-09-07T08:16:31.9848139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9848245Z new_features = layer(features) 2025-09-07T08:16:31.9848447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9848551Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9848789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9848870Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9848880Z 2025-09-07T08:16:31.9848978Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9849160Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9849228Z return mod(*inputs) 2025-09-07T08:16:31.9849426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9849502Z features = self.features(x) 2025-09-07T08:16:31.9849701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9849771Z new_features = layer(features) 2025-09-07T08:16:31.9849979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9850077Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9850297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9850453Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9850456Z 2025-09-07T08:16:31.9850552Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9850741Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9850800Z return mod(*inputs) 2025-09-07T08:16:31.9851008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9851078Z features = self.features(x) 2025-09-07T08:16:31.9851280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9851355Z new_features = layer(features) 2025-09-07T08:16:31.9851555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9851685Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9851688Z 2025-09-07T08:16:31.9851785Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9851970Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9852030Z return mod(*inputs) 2025-09-07T08:16:31.9852228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9852303Z features = self.features(x) 2025-09-07T08:16:31.9852502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9852575Z new_features = layer(features) 2025-09-07T08:16:31.9852775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9852897Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9852908Z 2025-09-07T08:16:31.9853002Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9853182Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9853251Z return mod(*inputs) 2025-09-07T08:16:31.9853453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9853524Z features = self.features(x) 2025-09-07T08:16:31.9853723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9853820Z new_features = layer(features) 2025-09-07T08:16:31.9854028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9854186Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9854189Z 2025-09-07T08:16:31.9854292Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9854473Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9854535Z return mod(*inputs) 2025-09-07T08:16:31.9854741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9854806Z features = self.features(x) 2025-09-07T08:16:31.9855013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9855081Z new_features = layer(features) 2025-09-07T08:16:31.9855280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9855406Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9855409Z 2025-09-07T08:16:31.9855508Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9855696Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9855755Z return mod(*inputs) 2025-09-07T08:16:31.9855966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9856032Z features = self.features(x) 2025-09-07T08:16:31.9856233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9856306Z new_features = layer(features) 2025-09-07T08:16:31.9856508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9856613Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9856882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9856969Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9856973Z 2025-09-07T08:16:31.9857079Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9857263Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9857332Z return mod(*inputs) 2025-09-07T08:16:31.9857536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9857601Z features = self.features(x) 2025-09-07T08:16:31.9857815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9857883Z new_features = layer(features) 2025-09-07T08:16:31.9858096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9858191Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9858414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9858572Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9858575Z 2025-09-07T08:16:31.9858672Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9858865Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9858929Z return mod(*inputs) 2025-09-07T08:16:31.9859140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9859259Z features = self.features(x) 2025-09-07T08:16:31.9859457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9859534Z new_features = layer(features) 2025-09-07T08:16:31.9859785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9859912Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9859915Z 2025-09-07T08:16:31.9860013Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9860204Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9860268Z return mod(*inputs) 2025-09-07T08:16:31.9860471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9860548Z features = self.features(x) 2025-09-07T08:16:31.9860753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9860829Z new_features = layer(features) 2025-09-07T08:16:31.9861029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9861152Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9861154Z 2025-09-07T08:16:31.9861262Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9861444Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9861513Z return mod(*inputs) 2025-09-07T08:16:31.9861715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9861782Z features = self.features(x) 2025-09-07T08:16:31.9861989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9862058Z new_features = layer(features) 2025-09-07T08:16:31.9862266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9862390Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9862393Z 2025-09-07T08:16:31.9862495Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9862678Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9862737Z return mod(*inputs) 2025-09-07T08:16:31.9862947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9863011Z features = self.features(x) 2025-09-07T08:16:31.9863219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9863288Z new_features = layer(features) 2025-09-07T08:16:31.9863490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9863617Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9863620Z 2025-09-07T08:16:31.9863719Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9863911Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9863974Z return mod(*inputs) 2025-09-07T08:16:31.9864182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9864256Z features = self.features(x) 2025-09-07T08:16:31.9864459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9864533Z new_features = layer(features) 2025-09-07T08:16:31.9864766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9864869Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9865084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9865194Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9865197Z 2025-09-07T08:16:31.9865301Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9865483Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9865554Z return mod(*inputs) 2025-09-07T08:16:31.9865756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9865823Z features = self.features(x) 2025-09-07T08:16:31.9866032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9866102Z new_features = layer(features) 2025-09-07T08:16:31.9866311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9866407Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9866622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9866787Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9866790Z 2025-09-07T08:16:31.9866887Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9867076Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9867138Z return mod(*inputs) 2025-09-07T08:16:31.9867351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9867420Z features = self.features(x) 2025-09-07T08:16:31.9867622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9867695Z new_features = layer(features) 2025-09-07T08:16:31.9867897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9868025Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9868028Z 2025-09-07T08:16:31.9868123Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9868304Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9868372Z return mod(*inputs) 2025-09-07T08:16:31.9868572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9868642Z features = self.features(x) 2025-09-07T08:16:31.9868846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9868914Z new_features = layer(features) 2025-09-07T08:16:31.9869122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9869248Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9869251Z 2025-09-07T08:16:31.9869354Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9869535Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9869601Z return mod(*inputs) 2025-09-07T08:16:31.9869802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9869869Z features = self.features(x) 2025-09-07T08:16:31.9870079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9870172Z new_features = layer(features) 2025-09-07T08:16:31.9870380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9870502Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9870530Z 2025-09-07T08:16:31.9870627Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9870818Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9870879Z return mod(*inputs) 2025-09-07T08:16:31.9871088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9871154Z features = self.features(x) 2025-09-07T08:16:31.9871362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9871429Z new_features = layer(features) 2025-09-07T08:16:31.9871635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9871765Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9871768Z 2025-09-07T08:16:31.9871867Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9872057Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9872117Z return mod(*inputs) 2025-09-07T08:16:31.9872317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9872391Z features = self.features(x) 2025-09-07T08:16:31.9872593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9872666Z new_features = layer(features) 2025-09-07T08:16:31.9872868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9872966Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9873180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9873262Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9873265Z 2025-09-07T08:16:31.9873369Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9873549Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9873617Z return mod(*inputs) 2025-09-07T08:16:31.9873817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9873883Z features = self.features(x) 2025-09-07T08:16:31.9874090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9874160Z new_features = layer(features) 2025-09-07T08:16:31.9874367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9874464Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9874681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9874847Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9874850Z 2025-09-07T08:16:31.9874948Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9875138Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9875198Z return mod(*inputs) 2025-09-07T08:16:31.9875407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9875472Z features = self.features(x) 2025-09-07T08:16:31.9875703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9875779Z new_features = layer(features) 2025-09-07T08:16:31.9876018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9876150Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9876153Z 2025-09-07T08:16:31.9876249Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9876428Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9876498Z return mod(*inputs) 2025-09-07T08:16:31.9876698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9876772Z features = self.features(x) 2025-09-07T08:16:31.9876973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9877041Z new_features = layer(features) 2025-09-07T08:16:31.9877247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9877372Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9877375Z 2025-09-07T08:16:31.9877479Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9877657Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9877727Z return mod(*inputs) 2025-09-07T08:16:31.9877929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9877993Z features = self.features(x) 2025-09-07T08:16:31.9878199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9878269Z new_features = layer(features) 2025-09-07T08:16:31.9878475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9878597Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9878600Z 2025-09-07T08:16:31.9878697Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9878892Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9878952Z return mod(*inputs) 2025-09-07T08:16:31.9879159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9879224Z features = self.features(x) 2025-09-07T08:16:31.9879423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9879499Z new_features = layer(features) 2025-09-07T08:16:31.9879701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9879830Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9879833Z 2025-09-07T08:16:31.9879929Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9880117Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9880177Z return mod(*inputs) 2025-09-07T08:16:31.9880379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9880453Z features = self.features(x) 2025-09-07T08:16:31.9880656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9880729Z new_features = layer(features) 2025-09-07T08:16:31.9880928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9881049Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9881269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9881348Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9881381Z 2025-09-07T08:16:31.9881486Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9881666Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9881726Z return mod(*inputs) 2025-09-07T08:16:31.9881933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9882000Z features = self.features(x) 2025-09-07T08:16:31.9882211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9882276Z new_features = layer(features) 2025-09-07T08:16:31.9882488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9882584Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9882796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9882959Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9882962Z 2025-09-07T08:16:31.9883056Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9883241Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9883303Z return mod(*inputs) 2025-09-07T08:16:31.9883501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9883573Z features = self.features(x) 2025-09-07T08:16:31.9883775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9883849Z new_features = layer(features) 2025-09-07T08:16:31.9884050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9884175Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9884184Z 2025-09-07T08:16:31.9884282Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9884464Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9884533Z return mod(*inputs) 2025-09-07T08:16:31.9884733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9884810Z features = self.features(x) 2025-09-07T08:16:31.9885009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9885079Z new_features = layer(features) 2025-09-07T08:16:31.9885290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9885412Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9885417Z 2025-09-07T08:16:31.9885525Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9885707Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9885770Z return mod(*inputs) 2025-09-07T08:16:31.9885979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9886045Z features = self.features(x) 2025-09-07T08:16:31.9886252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9886318Z new_features = layer(features) 2025-09-07T08:16:31.9886556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9886679Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9886682Z 2025-09-07T08:16:31.9886806Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9886996Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9887056Z return mod(*inputs) 2025-09-07T08:16:31.9887270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9887338Z features = self.features(x) 2025-09-07T08:16:31.9887543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9887621Z new_features = layer(features) 2025-09-07T08:16:31.9887823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9887957Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9887959Z 2025-09-07T08:16:31.9888058Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9888241Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9888314Z return mod(*inputs) 2025-09-07T08:16:31.9888517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9888589Z features = self.features(x) 2025-09-07T08:16:31.9888790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9888865Z new_features = layer(features) 2025-09-07T08:16:31.9889067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9889170Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9889392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9889472Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9889474Z 2025-09-07T08:16:31.9889581Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9889762Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9889824Z return mod(*inputs) 2025-09-07T08:16:31.9890035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9890101Z features = self.features(x) 2025-09-07T08:16:31.9890309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9890378Z new_features = layer(features) 2025-09-07T08:16:31.9890585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9890689Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9890904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9891072Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9891075Z 2025-09-07T08:16:31.9891177Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9891366Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9891426Z return mod(*inputs) 2025-09-07T08:16:31.9891631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9891706Z features = self.features(x) 2025-09-07T08:16:31.9891911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9892034Z new_features = layer(features) 2025-09-07T08:16:31.9892239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9892390Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9892394Z 2025-09-07T08:16:31.9892500Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9892681Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9892749Z return mod(*inputs) 2025-09-07T08:16:31.9892951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9893025Z features = self.features(x) 2025-09-07T08:16:31.9893225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9893295Z new_features = layer(features) 2025-09-07T08:16:31.9893502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9893624Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9893627Z 2025-09-07T08:16:31.9893733Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9893913Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9893974Z return mod(*inputs) 2025-09-07T08:16:31.9894183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9894248Z features = self.features(x) 2025-09-07T08:16:31.9894455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9894520Z new_features = layer(features) 2025-09-07T08:16:31.9894722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9894853Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9894855Z 2025-09-07T08:16:31.9894952Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9895141Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9895203Z return mod(*inputs) 2025-09-07T08:16:31.9895418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9895482Z features = self.features(x) 2025-09-07T08:16:31.9895682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9895759Z new_features = layer(features) 2025-09-07T08:16:31.9895961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9896092Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9896094Z 2025-09-07T08:16:31.9896190Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9896374Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9896443Z return mod(*inputs) 2025-09-07T08:16:31.9896647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9896720Z features = self.features(x) 2025-09-07T08:16:31.9896920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9896986Z new_features = layer(features) 2025-09-07T08:16:31.9897194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9897325Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9897543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9897625Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9897627Z 2025-09-07T08:16:31.9897755Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9897936Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9897998Z return mod(*inputs) 2025-09-07T08:16:31.9898209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9898276Z features = self.features(x) 2025-09-07T08:16:31.9898486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9898553Z new_features = layer(features) 2025-09-07T08:16:31.9898754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9898861Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9899071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9899237Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9899239Z 2025-09-07T08:16:31.9899335Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9899524Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9899585Z return mod(*inputs) 2025-09-07T08:16:31.9899792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9899865Z features = self.features(x) 2025-09-07T08:16:31.9900066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9900142Z new_features = layer(features) 2025-09-07T08:16:31.9900342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9900467Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9900469Z 2025-09-07T08:16:31.9900575Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9900756Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9900825Z return mod(*inputs) 2025-09-07T08:16:31.9901027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9901094Z features = self.features(x) 2025-09-07T08:16:31.9901300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9901372Z new_features = layer(features) 2025-09-07T08:16:31.9901581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9901702Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9901704Z 2025-09-07T08:16:31.9901808Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9901989Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9902049Z return mod(*inputs) 2025-09-07T08:16:31.9902261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9902326Z features = self.features(x) 2025-09-07T08:16:31.9902536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9902601Z new_features = layer(features) 2025-09-07T08:16:31.9902799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9902958Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9902961Z 2025-09-07T08:16:31.9903058Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9903273Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9903338Z return mod(*inputs) 2025-09-07T08:16:31.9903540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9903615Z features = self.features(x) 2025-09-07T08:16:31.9903815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9903887Z new_features = layer(features) 2025-09-07T08:16:31.9904086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9904215Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9904218Z 2025-09-07T08:16:31.9904314Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9904494Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9904566Z return mod(*inputs) 2025-09-07T08:16:31.9904765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9904836Z features = self.features(x) 2025-09-07T08:16:31.9905034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9905101Z new_features = layer(features) 2025-09-07T08:16:31.9905309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9905406Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9905626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9905704Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9905706Z 2025-09-07T08:16:31.9905800Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9905991Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9906053Z return mod(*inputs) 2025-09-07T08:16:31.9906261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9906327Z features = self.features(x) 2025-09-07T08:16:31.9906535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9906603Z new_features = layer(features) 2025-09-07T08:16:31.9906802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9906909Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9907118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9907279Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9907282Z 2025-09-07T08:16:31.9907380Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9907561Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9907632Z return mod(*inputs) 2025-09-07T08:16:31.9907834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9907907Z features = self.features(x) 2025-09-07T08:16:31.9908107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9908205Z new_features = layer(features) 2025-09-07T08:16:31.9908414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9908536Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9908539Z 2025-09-07T08:16:31.9908667Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9908846Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9908912Z return mod(*inputs) 2025-09-07T08:16:31.9909113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9909178Z features = self.features(x) 2025-09-07T08:16:31.9909387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9909453Z new_features = layer(features) 2025-09-07T08:16:31.9909662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9909782Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9909785Z 2025-09-07T08:16:31.9909884Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9910077Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9910141Z return mod(*inputs) 2025-09-07T08:16:31.9910352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9910418Z features = self.features(x) 2025-09-07T08:16:31.9910626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9910693Z new_features = layer(features) 2025-09-07T08:16:31.9910892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9911027Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9911030Z 2025-09-07T08:16:31.9911126Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9911316Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9911377Z return mod(*inputs) 2025-09-07T08:16:31.9911577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9911652Z features = self.features(x) 2025-09-07T08:16:31.9911852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9911926Z new_features = layer(features) 2025-09-07T08:16:31.9912125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9912251Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9912262Z 2025-09-07T08:16:31.9912359Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9912540Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9912611Z return mod(*inputs) 2025-09-07T08:16:31.9912815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9912889Z features = self.features(x) 2025-09-07T08:16:31.9913087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9913153Z new_features = layer(features) 2025-09-07T08:16:31.9913360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9913456Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9913703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9913784Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9913787Z 2025-09-07T08:16:31.9913882Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9914098Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9914160Z return mod(*inputs) 2025-09-07T08:16:31.9914372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9914437Z features = self.features(x) 2025-09-07T08:16:31.9914637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9914711Z new_features = layer(features) 2025-09-07T08:16:31.9914912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9915018Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9915225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9915394Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9915397Z 2025-09-07T08:16:31.9915496Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9915674Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9915744Z return mod(*inputs) 2025-09-07T08:16:31.9915943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9916015Z features = self.features(x) 2025-09-07T08:16:31.9916216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9916284Z new_features = layer(features) 2025-09-07T08:16:31.9916491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9916615Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9916618Z 2025-09-07T08:16:31.9916723Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9916905Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9916972Z return mod(*inputs) 2025-09-07T08:16:31.9917173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9917240Z features = self.features(x) 2025-09-07T08:16:31.9917448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9917513Z new_features = layer(features) 2025-09-07T08:16:31.9917717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9917841Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9917844Z 2025-09-07T08:16:31.9917937Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9918129Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9918189Z return mod(*inputs) 2025-09-07T08:16:31.9918398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9918464Z features = self.features(x) 2025-09-07T08:16:31.9918664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9918739Z new_features = layer(features) 2025-09-07T08:16:31.9918936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9919098Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9919101Z 2025-09-07T08:16:31.9919197Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9919410Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9919471Z return mod(*inputs) 2025-09-07T08:16:31.9919674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9919749Z features = self.features(x) 2025-09-07T08:16:31.9919949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9920024Z new_features = layer(features) 2025-09-07T08:16:31.9920222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9920342Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9920348Z 2025-09-07T08:16:31.9920454Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9920634Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9920705Z return mod(*inputs) 2025-09-07T08:16:31.9920910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9920976Z features = self.features(x) 2025-09-07T08:16:31.9921185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9921252Z new_features = layer(features) 2025-09-07T08:16:31.9921462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9921557Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9921781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9921864Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9921867Z 2025-09-07T08:16:31.9921962Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9922152Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9922214Z return mod(*inputs) 2025-09-07T08:16:31.9922427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9922493Z features = self.features(x) 2025-09-07T08:16:31.9922693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9922769Z new_features = layer(features) 2025-09-07T08:16:31.9922969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9923075Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9923287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9923441Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9923453Z 2025-09-07T08:16:31.9923550Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9923734Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9923805Z return mod(*inputs) 2025-09-07T08:16:31.9924004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9924077Z features = self.features(x) 2025-09-07T08:16:31.9924279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9924345Z new_features = layer(features) 2025-09-07T08:16:31.9924580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9924704Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9924707Z 2025-09-07T08:16:31.9924837Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9925014Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9925075Z return mod(*inputs) 2025-09-07T08:16:31.9925284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9925355Z features = self.features(x) 2025-09-07T08:16:31.9925562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9925630Z new_features = layer(features) 2025-09-07T08:16:31.9925831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9925962Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9925965Z 2025-09-07T08:16:31.9926062Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9926251Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9926312Z return mod(*inputs) 2025-09-07T08:16:31.9926517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9926584Z features = self.features(x) 2025-09-07T08:16:31.9926783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9926856Z new_features = layer(features) 2025-09-07T08:16:31.9927057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9927189Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9927192Z 2025-09-07T08:16:31.9927287Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9927465Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9927536Z return mod(*inputs) 2025-09-07T08:16:31.9927738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9927811Z features = self.features(x) 2025-09-07T08:16:31.9928010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9928084Z new_features = layer(features) 2025-09-07T08:16:31.9928285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9928408Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9928413Z 2025-09-07T08:16:31.9928518Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9928697Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9928765Z return mod(*inputs) 2025-09-07T08:16:31.9928970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9929036Z features = self.features(x) 2025-09-07T08:16:31.9929243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9929309Z new_features = layer(features) 2025-09-07T08:16:31.9929514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9929611Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9929822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9929940Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9929943Z 2025-09-07T08:16:31.9930039Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9930255Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9930319Z return mod(*inputs) 2025-09-07T08:16:31.9930523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9930588Z features = self.features(x) 2025-09-07T08:16:31.9930787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9930862Z new_features = layer(features) 2025-09-07T08:16:31.9931058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9931159Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9931371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9931525Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9931528Z 2025-09-07T08:16:31.9931633Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9931815Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9931883Z return mod(*inputs) 2025-09-07T08:16:31.9932084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9932149Z features = self.features(x) 2025-09-07T08:16:31.9932358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9932424Z new_features = layer(features) 2025-09-07T08:16:31.9932631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9932751Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9932753Z 2025-09-07T08:16:31.9932855Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9933038Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9933098Z return mod(*inputs) 2025-09-07T08:16:31.9933305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9933370Z features = self.features(x) 2025-09-07T08:16:31.9933577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9933643Z new_features = layer(features) 2025-09-07T08:16:31.9933844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9933979Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9933982Z 2025-09-07T08:16:31.9934078Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9934269Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9934332Z return mod(*inputs) 2025-09-07T08:16:31.9934541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9934605Z features = self.features(x) 2025-09-07T08:16:31.9934804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9934877Z new_features = layer(features) 2025-09-07T08:16:31.9935077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9935206Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9935242Z 2025-09-07T08:16:31.9935337Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9935516Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9935588Z return mod(*inputs) 2025-09-07T08:16:31.9935826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9935906Z features = self.features(x) 2025-09-07T08:16:31.9936110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9936176Z new_features = layer(features) 2025-09-07T08:16:31.9936393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9936512Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9936517Z 2025-09-07T08:16:31.9936619Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9936801Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9936870Z return mod(*inputs) 2025-09-07T08:16:31.9937073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9937139Z features = self.features(x) 2025-09-07T08:16:31.9937347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9937412Z new_features = layer(features) 2025-09-07T08:16:31.9937621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9937717Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9937925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9938017Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9938019Z 2025-09-07T08:16:31.9938113Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9938299Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9938362Z return mod(*inputs) 2025-09-07T08:16:31.9938566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9938640Z features = self.features(x) 2025-09-07T08:16:31.9938839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9938912Z new_features = layer(features) 2025-09-07T08:16:31.9939114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9939215Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9939431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9939584Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9939587Z 2025-09-07T08:16:31.9939693Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9939877Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9939944Z return mod(*inputs) 2025-09-07T08:16:31.9940145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9940209Z features = self.features(x) 2025-09-07T08:16:31.9940419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9940485Z new_features = layer(features) 2025-09-07T08:16:31.9940691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9940843Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9940846Z 2025-09-07T08:16:31.9940951Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9941161Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9941223Z return mod(*inputs) 2025-09-07T08:16:31.9941436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9941501Z features = self.features(x) 2025-09-07T08:16:31.9941709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9941775Z new_features = layer(features) 2025-09-07T08:16:31.9941977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9942108Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9942111Z 2025-09-07T08:16:31.9942206Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9942394Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9942457Z return mod(*inputs) 2025-09-07T08:16:31.9942659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9942734Z features = self.features(x) 2025-09-07T08:16:31.9942932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9943008Z new_features = layer(features) 2025-09-07T08:16:31.9943208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9943336Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9943341Z 2025-09-07T08:16:31.9943437Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9943617Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9943687Z return mod(*inputs) 2025-09-07T08:16:31.9943892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9943964Z features = self.features(x) 2025-09-07T08:16:31.9944165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9944232Z new_features = layer(features) 2025-09-07T08:16:31.9944438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9944559Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9944561Z 2025-09-07T08:16:31.9944667Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9944848Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9944909Z return mod(*inputs) 2025-09-07T08:16:31.9945124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9945191Z features = self.features(x) 2025-09-07T08:16:31.9945397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9945465Z new_features = layer(features) 2025-09-07T08:16:31.9945671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9945766Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9945977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9946096Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9946099Z 2025-09-07T08:16:31.9946194Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9946380Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9946443Z return mod(*inputs) 2025-09-07T08:16:31.9946669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9946744Z features = self.features(x) 2025-09-07T08:16:31.9946947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9947021Z new_features = layer(features) 2025-09-07T08:16:31.9947223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9947317Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9947538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9947697Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9947699Z 2025-09-07T08:16:31.9947800Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9947985Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9948056Z return mod(*inputs) 2025-09-07T08:16:31.9948256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9948322Z features = self.features(x) 2025-09-07T08:16:31.9948528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9948594Z new_features = layer(features) 2025-09-07T08:16:31.9948799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9948924Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9948927Z 2025-09-07T08:16:31.9949023Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9949217Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9949279Z return mod(*inputs) 2025-09-07T08:16:31.9949489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9949555Z features = self.features(x) 2025-09-07T08:16:31.9949752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9949827Z new_features = layer(features) 2025-09-07T08:16:31.9950023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9950155Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9950158Z 2025-09-07T08:16:31.9950254Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9950440Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9950504Z return mod(*inputs) 2025-09-07T08:16:31.9950703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9950777Z features = self.features(x) 2025-09-07T08:16:31.9950976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9951048Z new_features = layer(features) 2025-09-07T08:16:31.9951249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9951369Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9951407Z 2025-09-07T08:16:31.9951503Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9951683Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9951751Z return mod(*inputs) 2025-09-07T08:16:31.9951982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9952057Z features = self.features(x) 2025-09-07T08:16:31.9952261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9952328Z new_features = layer(features) 2025-09-07T08:16:31.9952538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9952659Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9952661Z 2025-09-07T08:16:31.9952748Z cudagraph partition due to non gpu ops 2025-09-07T08:16:31.9952827Z cudagraph partition due to non gpu ops 2025-09-07T08:16:31.9952901Z cudagraph partition due to non gpu ops 2025-09-07T08:16:31.9952984Z cudagraph partition due to non gpu ops 2025-09-07T08:16:31.9953058Z cudagraph partition due to non gpu ops 2025-09-07T08:16:31.9953136Z cudagraph partition due to non gpu ops 2025-09-07T08:16:31.9953237Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9953418Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9953490Z return mod(*inputs) 2025-09-07T08:16:31.9953693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9953765Z features = self.features(x) 2025-09-07T08:16:31.9953964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 124, in forward 2025-09-07T08:16:31.9954036Z return torch.cat(features, 1) 2025-09-07T08:16:31.9954042Z 2025-09-07T08:16:31.9954149Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9954328Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9954393Z return mod(*inputs) 2025-09-07T08:16:31.9954596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9954662Z features = self.features(x) 2025-09-07T08:16:31.9954673Z 2025-09-07T08:16:31.9954769Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9954951Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9955021Z return mod(*inputs) 2025-09-07T08:16:31.9955221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9955294Z features = self.features(x) 2025-09-07T08:16:31.9955297Z 2025-09-07T08:16:31.9955393Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9955573Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9955639Z return mod(*inputs) 2025-09-07T08:16:31.9955843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9955915Z features = self.features(x) 2025-09-07T08:16:31.9955917Z 2025-09-07T08:16:31.9956011Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9956190Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9956259Z return mod(*inputs) 2025-09-07T08:16:31.9956462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9956532Z features = self.features(x) 2025-09-07T08:16:31.9956734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9956887Z new_features = layer(features) 2025-09-07T08:16:31.9957100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9957282Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9957285Z 2025-09-07T08:16:31.9957390Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9957567Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9957635Z return mod(*inputs) 2025-09-07T08:16:31.9957835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9957899Z features = self.features(x) 2025-09-07T08:16:31.9958107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9958177Z new_features = layer(features) 2025-09-07T08:16:31.9958386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9958507Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9958510Z 2025-09-07T08:16:31.9958609Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9958801Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9958862Z return mod(*inputs) 2025-09-07T08:16:31.9959068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9959135Z features = self.features(x) 2025-09-07T08:16:31.9959343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9959421Z new_features = layer(features) 2025-09-07T08:16:31.9959623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9959755Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9959758Z 2025-09-07T08:16:31.9959854Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9960043Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9960105Z return mod(*inputs) 2025-09-07T08:16:31.9960308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9960383Z features = self.features(x) 2025-09-07T08:16:31.9960586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9960665Z new_features = layer(features) 2025-09-07T08:16:31.9960862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9960987Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9960989Z 2025-09-07T08:16:31.9961092Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9961275Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9961345Z return mod(*inputs) 2025-09-07T08:16:31.9961546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9961619Z features = self.features(x) 2025-09-07T08:16:31.9961819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9961885Z new_features = layer(features) 2025-09-07T08:16:31.9962093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9962190Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9962447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9962528Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9962531Z 2025-09-07T08:16:31.9962669Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9962857Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9962919Z return mod(*inputs) 2025-09-07T08:16:31.9963130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9963197Z features = self.features(x) 2025-09-07T08:16:31.9963398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9963477Z new_features = layer(features) 2025-09-07T08:16:31.9963678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9963784Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9963994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9964158Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9964161Z 2025-09-07T08:16:31.9964256Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9964437Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9964504Z return mod(*inputs) 2025-09-07T08:16:31.9964705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9964782Z features = self.features(x) 2025-09-07T08:16:31.9964983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9965053Z new_features = layer(features) 2025-09-07T08:16:31.9965258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9965380Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9965384Z 2025-09-07T08:16:31.9965489Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9965670Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9965729Z return mod(*inputs) 2025-09-07T08:16:31.9965935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9966003Z features = self.features(x) 2025-09-07T08:16:31.9966214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9966282Z new_features = layer(features) 2025-09-07T08:16:31.9966495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9966618Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9966621Z 2025-09-07T08:16:31.9966718Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9966909Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9966969Z return mod(*inputs) 2025-09-07T08:16:31.9967176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9967240Z features = self.features(x) 2025-09-07T08:16:31.9967439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9967515Z new_features = layer(features) 2025-09-07T08:16:31.9967713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9967870Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9967873Z 2025-09-07T08:16:31.9967969Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9968187Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9968249Z return mod(*inputs) 2025-09-07T08:16:31.9968447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9968522Z features = self.features(x) 2025-09-07T08:16:31.9968719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9968791Z new_features = layer(features) 2025-09-07T08:16:31.9968989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9969111Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9969113Z 2025-09-07T08:16:31.9969219Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9969399Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9969469Z return mod(*inputs) 2025-09-07T08:16:31.9969669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9969734Z features = self.features(x) 2025-09-07T08:16:31.9969941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9970008Z new_features = layer(features) 2025-09-07T08:16:31.9970213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9970310Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9970521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9970608Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9970611Z 2025-09-07T08:16:31.9970706Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9970895Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9970957Z return mod(*inputs) 2025-09-07T08:16:31.9971166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9971229Z features = self.features(x) 2025-09-07T08:16:31.9971429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9971505Z new_features = layer(features) 2025-09-07T08:16:31.9971703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9971807Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9972016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9972173Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9972182Z 2025-09-07T08:16:31.9972280Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9972460Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9972529Z return mod(*inputs) 2025-09-07T08:16:31.9972730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9972805Z features = self.features(x) 2025-09-07T08:16:31.9973005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9973101Z new_features = layer(features) 2025-09-07T08:16:31.9973311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9973436Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9973439Z 2025-09-07T08:16:31.9973573Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9973753Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9973813Z return mod(*inputs) 2025-09-07T08:16:31.9974021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9974087Z features = self.features(x) 2025-09-07T08:16:31.9974298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9974365Z new_features = layer(features) 2025-09-07T08:16:31.9974575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9974707Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9974710Z 2025-09-07T08:16:31.9974804Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9974996Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9975065Z return mod(*inputs) 2025-09-07T08:16:31.9975276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9975341Z features = self.features(x) 2025-09-07T08:16:31.9975542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9975615Z new_features = layer(features) 2025-09-07T08:16:31.9975815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9975946Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9975949Z 2025-09-07T08:16:31.9976046Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9976227Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9976298Z return mod(*inputs) 2025-09-07T08:16:31.9976500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9976573Z features = self.features(x) 2025-09-07T08:16:31.9976776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9976841Z new_features = layer(features) 2025-09-07T08:16:31.9977054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9977176Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9977182Z 2025-09-07T08:16:31.9977285Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9977465Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9977536Z return mod(*inputs) 2025-09-07T08:16:31.9977742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9977808Z features = self.features(x) 2025-09-07T08:16:31.9978018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9978085Z new_features = layer(features) 2025-09-07T08:16:31.9978294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9978391Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9978603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9978752Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9978755Z 2025-09-07T08:16:31.9978852Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9979065Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9979127Z return mod(*inputs) 2025-09-07T08:16:31.9979335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9979401Z features = self.features(x) 2025-09-07T08:16:31.9979599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9979674Z new_features = layer(features) 2025-09-07T08:16:31.9979871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9979975Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9980185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9980340Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9980345Z 2025-09-07T08:16:31.9980446Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9980625Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9980691Z return mod(*inputs) 2025-09-07T08:16:31.9980893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9980957Z features = self.features(x) 2025-09-07T08:16:31.9981162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9981226Z new_features = layer(features) 2025-09-07T08:16:31.9981436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9981558Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9981561Z 2025-09-07T08:16:31.9981665Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9981844Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9981904Z return mod(*inputs) 2025-09-07T08:16:31.9982108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9982173Z features = self.features(x) 2025-09-07T08:16:31.9982379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9982447Z new_features = layer(features) 2025-09-07T08:16:31.9982644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9982777Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9982780Z 2025-09-07T08:16:31.9982874Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9983064Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9983125Z return mod(*inputs) 2025-09-07T08:16:31.9983326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9983396Z features = self.features(x) 2025-09-07T08:16:31.9983597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9983672Z new_features = layer(features) 2025-09-07T08:16:31.9983870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9984026Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9984029Z 2025-09-07T08:16:31.9984125Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9984305Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9984404Z return mod(*inputs) 2025-09-07T08:16:31.9984607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9984680Z features = self.features(x) 2025-09-07T08:16:31.9984881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9984947Z new_features = layer(features) 2025-09-07T08:16:31.9985155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9985277Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9985283Z 2025-09-07T08:16:31.9985385Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9985567Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9985636Z return mod(*inputs) 2025-09-07T08:16:31.9985842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9985909Z features = self.features(x) 2025-09-07T08:16:31.9986122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9986189Z new_features = layer(features) 2025-09-07T08:16:31.9986398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9986494Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9986708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9986801Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9986804Z 2025-09-07T08:16:31.9986901Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9987090Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9987150Z return mod(*inputs) 2025-09-07T08:16:31.9987352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9987425Z features = self.features(x) 2025-09-07T08:16:31.9987628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9987703Z new_features = layer(features) 2025-09-07T08:16:31.9987903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9988000Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9988221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9988375Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9988378Z 2025-09-07T08:16:31.9988486Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9988668Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9988735Z return mod(*inputs) 2025-09-07T08:16:31.9988936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9989001Z features = self.features(x) 2025-09-07T08:16:31.9989214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9989280Z new_features = layer(features) 2025-09-07T08:16:31.9989515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9989636Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9989639Z 2025-09-07T08:16:31.9989734Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9989948Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9990011Z return mod(*inputs) 2025-09-07T08:16:31.9990221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9990285Z features = self.features(x) 2025-09-07T08:16:31.9990491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9990556Z new_features = layer(features) 2025-09-07T08:16:31.9990755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9990886Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9990888Z 2025-09-07T08:16:31.9990984Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9991173Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9991235Z return mod(*inputs) 2025-09-07T08:16:31.9991437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9991509Z features = self.features(x) 2025-09-07T08:16:31.9991709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9991782Z new_features = layer(features) 2025-09-07T08:16:31.9991981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9992102Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9992115Z 2025-09-07T08:16:31.9992211Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9992394Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9992461Z return mod(*inputs) 2025-09-07T08:16:31.9992666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9992739Z features = self.features(x) 2025-09-07T08:16:31.9992939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9993004Z new_features = layer(features) 2025-09-07T08:16:31.9993212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9993332Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9993337Z 2025-09-07T08:16:31.9993441Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9993622Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9993681Z return mod(*inputs) 2025-09-07T08:16:31.9993890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9993955Z features = self.features(x) 2025-09-07T08:16:31.9994159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9994225Z new_features = layer(features) 2025-09-07T08:16:31.9994432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9994537Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9994746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:31.9994860Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:31.9994862Z 2025-09-07T08:16:31.9994959Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9995151Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9995243Z return mod(*inputs) 2025-09-07T08:16:31.9995445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9995515Z features = self.features(x) 2025-09-07T08:16:31.9995715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9995788Z new_features = layer(features) 2025-09-07T08:16:31.9995987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:31.9996082Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:31.9996299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:31.9996453Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:31.9996456Z 2025-09-07T08:16:31.9996562Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9996744Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9996813Z return mod(*inputs) 2025-09-07T08:16:31.9997014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9997080Z features = self.features(x) 2025-09-07T08:16:31.9997288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9997356Z new_features = layer(features) 2025-09-07T08:16:31.9997563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9997688Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9997691Z 2025-09-07T08:16:31.9997788Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9997978Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9998038Z return mod(*inputs) 2025-09-07T08:16:31.9998246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9998312Z features = self.features(x) 2025-09-07T08:16:31.9998511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9998585Z new_features = layer(features) 2025-09-07T08:16:31.9998786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:31.9998917Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:31.9998920Z 2025-09-07T08:16:31.9999017Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:31.9999205Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:31.9999268Z return mod(*inputs) 2025-09-07T08:16:31.9999474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:31.9999547Z features = self.features(x) 2025-09-07T08:16:31.9999751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:31.9999825Z new_features = layer(features) 2025-09-07T08:16:32.0000027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0000149Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0000185Z 2025-09-07T08:16:32.0000294Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0000480Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0000550Z return mod(*inputs) 2025-09-07T08:16:32.0000780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0000847Z features = self.features(x) 2025-09-07T08:16:32.0001054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0001120Z new_features = layer(features) 2025-09-07T08:16:32.0001339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0001459Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0001462Z 2025-09-07T08:16:32.0001568Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0001752Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0001813Z return mod(*inputs) 2025-09-07T08:16:32.0002032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0002099Z features = self.features(x) 2025-09-07T08:16:32.0002314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0002380Z new_features = layer(features) 2025-09-07T08:16:32.0002584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:32.0002691Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:32.0002908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:32.0002998Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:32.0003001Z 2025-09-07T08:16:32.0003096Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0003289Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0003354Z return mod(*inputs) 2025-09-07T08:16:32.0003559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0003633Z features = self.features(x) 2025-09-07T08:16:32.0003839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0003914Z new_features = layer(features) 2025-09-07T08:16:32.0004118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:32.0004214Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:32.0004441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:32.0004597Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:32.0004600Z 2025-09-07T08:16:32.0004705Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0004891Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0004953Z return mod(*inputs) 2025-09-07T08:16:32.0005166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0005233Z features = self.features(x) 2025-09-07T08:16:32.0005443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0005530Z new_features = layer(features) 2025-09-07T08:16:32.0005743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0005893Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0005896Z 2025-09-07T08:16:32.0005990Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0006211Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0006273Z return mod(*inputs) 2025-09-07T08:16:32.0006478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0006543Z features = self.features(x) 2025-09-07T08:16:32.0006746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0006820Z new_features = layer(features) 2025-09-07T08:16:32.0007020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0007148Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0007151Z 2025-09-07T08:16:32.0007248Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0007427Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0007497Z return mod(*inputs) 2025-09-07T08:16:32.0007698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0007772Z features = self.features(x) 2025-09-07T08:16:32.0007972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0008045Z new_features = layer(features) 2025-09-07T08:16:32.0008245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0008366Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0008372Z 2025-09-07T08:16:32.0008479Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0008659Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0008726Z return mod(*inputs) 2025-09-07T08:16:32.0008929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0008994Z features = self.features(x) 2025-09-07T08:16:32.0009202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0009270Z new_features = layer(features) 2025-09-07T08:16:32.0009479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0009602Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0009605Z 2025-09-07T08:16:32.0009709Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0009893Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0009954Z return mod(*inputs) 2025-09-07T08:16:32.0010163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0010231Z features = self.features(x) 2025-09-07T08:16:32.0010447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0010513Z new_features = layer(features) 2025-09-07T08:16:32.0010713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:32.0010821Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:32.0011034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:32.0011125Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:32.0011154Z 2025-09-07T08:16:32.0011252Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0011432Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0011502Z return mod(*inputs) 2025-09-07T08:16:32.0011730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0011803Z features = self.features(x) 2025-09-07T08:16:32.0012003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0012071Z new_features = layer(features) 2025-09-07T08:16:32.0012283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:32.0012379Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:32.0012596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:32.0012755Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:32.0012758Z 2025-09-07T08:16:32.0012862Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0013046Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0013106Z return mod(*inputs) 2025-09-07T08:16:32.0013316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0013385Z features = self.features(x) 2025-09-07T08:16:32.0013594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0013662Z new_features = layer(features) 2025-09-07T08:16:32.0013860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0013994Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0013997Z 2025-09-07T08:16:32.0014094Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0014285Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0014348Z return mod(*inputs) 2025-09-07T08:16:32.0014563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0014629Z features = self.features(x) 2025-09-07T08:16:32.0014830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0014905Z new_features = layer(features) 2025-09-07T08:16:32.0015104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0015235Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0015241Z 2025-09-07T08:16:32.0015337Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0015518Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0015589Z return mod(*inputs) 2025-09-07T08:16:32.0015793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0015868Z features = self.features(x) 2025-09-07T08:16:32.0016066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0016133Z new_features = layer(features) 2025-09-07T08:16:32.0016341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0016462Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0016465Z 2025-09-07T08:16:32.0016599Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0016779Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0016849Z return mod(*inputs) 2025-09-07T08:16:32.0017083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0017151Z features = self.features(x) 2025-09-07T08:16:32.0017361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0017427Z new_features = layer(features) 2025-09-07T08:16:32.0017634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0017753Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0017756Z 2025-09-07T08:16:32.0017852Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0018042Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0018103Z return mod(*inputs) 2025-09-07T08:16:32.0018309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0018377Z features = self.features(x) 2025-09-07T08:16:32.0018581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0018656Z new_features = layer(features) 2025-09-07T08:16:32.0018853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:32.0018957Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:32.0019164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:32.0019248Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:32.0019253Z 2025-09-07T08:16:32.0019346Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0019529Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0019598Z return mod(*inputs) 2025-09-07T08:16:32.0019802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0019876Z features = self.features(x) 2025-09-07T08:16:32.0020075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0020143Z new_features = layer(features) 2025-09-07T08:16:32.0020349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:32.0020445Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:32.0020663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:32.0020822Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:32.0020825Z 2025-09-07T08:16:32.0020927Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0021112Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0021174Z return mod(*inputs) 2025-09-07T08:16:32.0021382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0021447Z features = self.features(x) 2025-09-07T08:16:32.0021657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0021723Z new_features = layer(features) 2025-09-07T08:16:32.0021920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0022079Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0022082Z 2025-09-07T08:16:32.0022178Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0022369Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0022459Z return mod(*inputs) 2025-09-07T08:16:32.0022660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0022735Z features = self.features(x) 2025-09-07T08:16:32.0022941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0023017Z new_features = layer(features) 2025-09-07T08:16:32.0023221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0023355Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0023361Z 2025-09-07T08:16:32.0023462Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0023650Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0023721Z return mod(*inputs) 2025-09-07T08:16:32.0023932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0024010Z features = self.features(x) 2025-09-07T08:16:32.0024216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0024285Z new_features = layer(features) 2025-09-07T08:16:32.0024496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0024620Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0024623Z 2025-09-07T08:16:32.0024732Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0024921Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0024986Z return mod(*inputs) 2025-09-07T08:16:32.0025199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0025269Z features = self.features(x) 2025-09-07T08:16:32.0025482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0025560Z new_features = layer(features) 2025-09-07T08:16:32.0025770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0025896Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0025898Z 2025-09-07T08:16:32.0025998Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0026189Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0026255Z return mod(*inputs) 2025-09-07T08:16:32.0026468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0026538Z features = self.features(x) 2025-09-07T08:16:32.0026747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0026824Z new_features = layer(features) 2025-09-07T08:16:32.0027029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:32.0027138Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:32.0027349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:32.0027433Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:32.0027443Z 2025-09-07T08:16:32.0027570Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0027748Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0027820Z return mod(*inputs) 2025-09-07T08:16:32.0028050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0028123Z features = self.features(x) 2025-09-07T08:16:32.0028324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0028391Z new_features = layer(features) 2025-09-07T08:16:32.0028598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:32.0028694Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:32.0028916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:32.0029076Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:32.0029079Z 2025-09-07T08:16:32.0029177Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0029367Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0029428Z return mod(*inputs) 2025-09-07T08:16:32.0029644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0029711Z features = self.features(x) 2025-09-07T08:16:32.0029918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0029983Z new_features = layer(features) 2025-09-07T08:16:32.0030184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0030312Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0030317Z 2025-09-07T08:16:32.0030415Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0030602Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0030664Z return mod(*inputs) 2025-09-07T08:16:32.0030868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0030943Z features = self.features(x) 2025-09-07T08:16:32.0031147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0031220Z new_features = layer(features) 2025-09-07T08:16:32.0031429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0031551Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0031565Z 2025-09-07T08:16:32.0031662Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0031844Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0031912Z return mod(*inputs) 2025-09-07T08:16:32.0032116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0032187Z features = self.features(x) 2025-09-07T08:16:32.0032389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0032456Z new_features = layer(features) 2025-09-07T08:16:32.0032662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0032783Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0032786Z 2025-09-07T08:16:32.0032890Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0033101Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0033162Z return mod(*inputs) 2025-09-07T08:16:32.0033370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0033462Z features = self.features(x) 2025-09-07T08:16:32.0033670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0033736Z new_features = layer(features) 2025-09-07T08:16:32.0033934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0034059Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0034062Z 2025-09-07T08:16:32.0034159Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0034346Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0034408Z return mod(*inputs) 2025-09-07T08:16:32.0034618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0034685Z features = self.features(x) 2025-09-07T08:16:32.0034891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0034967Z new_features = layer(features) 2025-09-07T08:16:32.0035167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:32.0035272Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:32.0035483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:32.0035561Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:32.0035564Z 2025-09-07T08:16:32.0035665Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0035848Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0035919Z return mod(*inputs) 2025-09-07T08:16:32.0036121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0036186Z features = self.features(x) 2025-09-07T08:16:32.0036393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0036462Z new_features = layer(features) 2025-09-07T08:16:32.0036668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:32.0036765Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:32.0036980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:32.0037140Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:32.0037143Z 2025-09-07T08:16:32.0037239Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0037427Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0037493Z return mod(*inputs) 2025-09-07T08:16:32.0037704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0037770Z features = self.features(x) 2025-09-07T08:16:32.0037972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0038048Z new_features = layer(features) 2025-09-07T08:16:32.0038250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0038380Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0038412Z 2025-09-07T08:16:32.0038508Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0038695Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0038754Z return mod(*inputs) 2025-09-07T08:16:32.0038992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0039067Z features = self.features(x) 2025-09-07T08:16:32.0039269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0039343Z new_features = layer(features) 2025-09-07T08:16:32.0039543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0039663Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0039666Z 2025-09-07T08:16:32.0039772Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0039955Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0040025Z return mod(*inputs) 2025-09-07T08:16:32.0040230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0040295Z features = self.features(x) 2025-09-07T08:16:32.0040503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0040570Z new_features = layer(features) 2025-09-07T08:16:32.0040778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0040901Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0040904Z 2025-09-07T08:16:32.0041008Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0041191Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0041251Z return mod(*inputs) 2025-09-07T08:16:32.0041463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0041529Z features = self.features(x) 2025-09-07T08:16:32.0041743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0041813Z new_features = layer(features) 2025-09-07T08:16:32.0042014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0042144Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0042147Z 2025-09-07T08:16:32.0042244Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0042428Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0042491Z return mod(*inputs) 2025-09-07T08:16:32.0042694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0042767Z features = self.features(x) 2025-09-07T08:16:32.0042973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0043049Z new_features = layer(features) 2025-09-07T08:16:32.0043257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:32.0043362Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:32.0043572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:32.0043652Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:32.0043656Z 2025-09-07T08:16:32.0043761Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0043970Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0044037Z return mod(*inputs) 2025-09-07T08:16:32.0044240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0044333Z features = self.features(x) 2025-09-07T08:16:32.0044542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0044610Z new_features = layer(features) 2025-09-07T08:16:32.0044818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:32.0044915Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:32.0045125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:32.0045287Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:32.0045293Z 2025-09-07T08:16:32.0045389Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0045578Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0045639Z return mod(*inputs) 2025-09-07T08:16:32.0045850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0045918Z features = self.features(x) 2025-09-07T08:16:32.0046121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0046194Z new_features = layer(features) 2025-09-07T08:16:32.0046395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0046522Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0046528Z 2025-09-07T08:16:32.0046624Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0046804Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0046871Z return mod(*inputs) 2025-09-07T08:16:32.0047074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0047150Z features = self.features(x) 2025-09-07T08:16:32.0047351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0047427Z new_features = layer(features) 2025-09-07T08:16:32.0047625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0047745Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0047748Z 2025-09-07T08:16:32.0047850Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0048035Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0048106Z return mod(*inputs) 2025-09-07T08:16:32.0048305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0048373Z features = self.features(x) 2025-09-07T08:16:32.0048583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0048651Z new_features = layer(features) 2025-09-07T08:16:32.0048861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0048982Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0048985Z 2025-09-07T08:16:32.0049087Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0049267Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0049358Z return mod(*inputs) 2025-09-07T08:16:32.0049573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0049639Z features = self.features(x) 2025-09-07T08:16:32.0049880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0049948Z new_features = layer(features) 2025-09-07T08:16:32.0050153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0050282Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0050285Z 2025-09-07T08:16:32.0050382Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0050569Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0050632Z return mod(*inputs) 2025-09-07T08:16:32.0050833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0050907Z features = self.features(x) 2025-09-07T08:16:32.0051112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0051187Z new_features = layer(features) 2025-09-07T08:16:32.0051388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:32.0051483Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:32.0051699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:32.0051778Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:32.0051781Z 2025-09-07T08:16:32.0051883Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0052066Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0052135Z return mod(*inputs) 2025-09-07T08:16:32.0052338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0052404Z features = self.features(x) 2025-09-07T08:16:32.0052615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0052681Z new_features = layer(features) 2025-09-07T08:16:32.0052887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:32.0052983Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:32.0053194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:32.0053357Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:32.0053362Z 2025-09-07T08:16:32.0053460Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0053648Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0053710Z return mod(*inputs) 2025-09-07T08:16:32.0053923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0053989Z features = self.features(x) 2025-09-07T08:16:32.0054189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0054265Z new_features = layer(features) 2025-09-07T08:16:32.0054466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0054595Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0054597Z 2025-09-07T08:16:32.0054728Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0054908Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0054979Z return mod(*inputs) 2025-09-07T08:16:32.0055211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0055283Z features = self.features(x) 2025-09-07T08:16:32.0055484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0055550Z new_features = layer(features) 2025-09-07T08:16:32.0055759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0055881Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0055884Z 2025-09-07T08:16:32.0055986Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0056169Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0056236Z return mod(*inputs) 2025-09-07T08:16:32.0056443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0056511Z features = self.features(x) 2025-09-07T08:16:32.0056717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0056847Z new_features = layer(features) 2025-09-07T08:16:32.0057059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0057181Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0057184Z 2025-09-07T08:16:32.0057280Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0057470Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0057534Z return mod(*inputs) 2025-09-07T08:16:32.0057746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0057811Z features = self.features(x) 2025-09-07T08:16:32.0058018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0058101Z new_features = layer(features) 2025-09-07T08:16:32.0058308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0058445Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0058448Z 2025-09-07T08:16:32.0058551Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0058745Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0058811Z return mod(*inputs) 2025-09-07T08:16:32.0059022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0059099Z features = self.features(x) 2025-09-07T08:16:32.0059302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0059382Z new_features = layer(features) 2025-09-07T08:16:32.0059582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:32.0059681Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:32.0059904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:32.0059984Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:32.0059987Z 2025-09-07T08:16:32.0060092Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0060274Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0060408Z return mod(*inputs) 2025-09-07T08:16:32.0060608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0060676Z features = self.features(x) 2025-09-07T08:16:32.0060945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0061015Z new_features = layer(features) 2025-09-07T08:16:32.0061226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:32.0061326Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:32.0061540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:32.0061709Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:32.0061715Z 2025-09-07T08:16:32.0061814Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0062006Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0062070Z return mod(*inputs) 2025-09-07T08:16:32.0062274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0062350Z features = self.features(x) 2025-09-07T08:16:32.0062550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0062623Z new_features = layer(features) 2025-09-07T08:16:32.0062825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0062958Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0062961Z 2025-09-07T08:16:32.0063059Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0063247Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0063317Z return mod(*inputs) 2025-09-07T08:16:32.0063520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0063595Z features = self.features(x) 2025-09-07T08:16:32.0063800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0063867Z new_features = layer(features) 2025-09-07T08:16:32.0064075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0064197Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0064199Z 2025-09-07T08:16:32.0064303Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0064485Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0064551Z return mod(*inputs) 2025-09-07T08:16:32.0064760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0064826Z features = self.features(x) 2025-09-07T08:16:32.0065034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0065100Z new_features = layer(features) 2025-09-07T08:16:32.0065306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0065428Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0065431Z 2025-09-07T08:16:32.0065527Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0065714Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0065804Z return mod(*inputs) 2025-09-07T08:16:32.0066017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0066082Z features = self.features(x) 2025-09-07T08:16:32.0066309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0066387Z new_features = layer(features) 2025-09-07T08:16:32.0066589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0066718Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0066720Z 2025-09-07T08:16:32.0066815Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0067004Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0067065Z return mod(*inputs) 2025-09-07T08:16:32.0067268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0067346Z features = self.features(x) 2025-09-07T08:16:32.0067546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0067623Z new_features = layer(features) 2025-09-07T08:16:32.0067820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:32.0067918Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:32.0068138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:32.0068217Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:32.0068220Z 2025-09-07T08:16:32.0068320Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0068500Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0068564Z return mod(*inputs) 2025-09-07T08:16:32.0068779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0068845Z features = self.features(x) 2025-09-07T08:16:32.0069058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0069124Z new_features = layer(features) 2025-09-07T08:16:32.0069323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:32.0069429Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:32.0069640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:32.0069802Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:32.0069805Z 2025-09-07T08:16:32.0069904Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0070094Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0070156Z return mod(*inputs) 2025-09-07T08:16:32.0070358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0070432Z features = self.features(x) 2025-09-07T08:16:32.0070631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0070704Z new_features = layer(features) 2025-09-07T08:16:32.0070904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0071025Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0071035Z 2025-09-07T08:16:32.0071131Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0071338Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0071404Z return mod(*inputs) 2025-09-07T08:16:32.0071609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0071707Z features = self.features(x) 2025-09-07T08:16:32.0071911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0071976Z new_features = layer(features) 2025-09-07T08:16:32.0072186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0072307Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0072309Z 2025-09-07T08:16:32.0072410Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0072594Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0072657Z return mod(*inputs) 2025-09-07T08:16:32.0072866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0072930Z features = self.features(x) 2025-09-07T08:16:32.0073137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0073204Z new_features = layer(features) 2025-09-07T08:16:32.0073404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0073530Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0073533Z 2025-09-07T08:16:32.0073628Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0073819Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0073880Z return mod(*inputs) 2025-09-07T08:16:32.0074093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0074158Z features = self.features(x) 2025-09-07T08:16:32.0074360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0074439Z new_features = layer(features) 2025-09-07T08:16:32.0074640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0074770Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0074773Z 2025-09-07T08:16:32.0074869Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0075049Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0075120Z return mod(*inputs) 2025-09-07T08:16:32.0075321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0075395Z features = self.features(x) 2025-09-07T08:16:32.0075595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0075663Z new_features = layer(features) 2025-09-07T08:16:32.0075871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:32.0075968Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:32.0076186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function 2025-09-07T08:16:32.0076276Z concated_features = torch.cat(inputs, 1) 2025-09-07T08:16:32.0076279Z 2025-09-07T08:16:32.0076380Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0076561Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0076652Z return mod(*inputs) 2025-09-07T08:16:32.0076858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0076926Z features = self.features(x) 2025-09-07T08:16:32.0077160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0077229Z new_features = layer(features) 2025-09-07T08:16:32.0077428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward 2025-09-07T08:16:32.0077531Z bottleneck_output = self.bn_function(prev_features) 2025-09-07T08:16:32.0077740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function 2025-09-07T08:16:32.0077903Z bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features))) # noqa: T484 2025-09-07T08:16:32.0077906Z 2025-09-07T08:16:32.0078002Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0078193Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0078254Z return mod(*inputs) 2025-09-07T08:16:32.0078457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0078535Z features = self.features(x) 2025-09-07T08:16:32.0078736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0078808Z new_features = layer(features) 2025-09-07T08:16:32.0079008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0079130Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0079133Z 2025-09-07T08:16:32.0079236Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0079417Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0079490Z return mod(*inputs) 2025-09-07T08:16:32.0079693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0079758Z features = self.features(x) 2025-09-07T08:16:32.0079972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0080040Z new_features = layer(features) 2025-09-07T08:16:32.0080244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0080365Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0080367Z 2025-09-07T08:16:32.0080468Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0080648Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0080712Z return mod(*inputs) 2025-09-07T08:16:32.0080918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0080983Z features = self.features(x) 2025-09-07T08:16:32.0081192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0081259Z new_features = layer(features) 2025-09-07T08:16:32.0081458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0081586Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0081588Z 2025-09-07T08:16:32.0081684Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0081871Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0081932Z return mod(*inputs) 2025-09-07T08:16:32.0082170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0082242Z features = self.features(x) 2025-09-07T08:16:32.0082444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward 2025-09-07T08:16:32.0082547Z new_features = layer(features) 2025-09-07T08:16:32.0082749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward 2025-09-07T08:16:32.0082879Z new_features = self.conv2(self.relu2(self.norm2(bottleneck_output))) 2025-09-07T08:16:32.0082882Z 2025-09-07T08:16:32.0082958Z cudagraph partition due to non gpu ops 2025-09-07T08:16:32.0083036Z cudagraph partition due to non gpu ops 2025-09-07T08:16:32.0083117Z cudagraph partition due to non gpu ops 2025-09-07T08:16:32.0083187Z cudagraph partition due to non gpu ops 2025-09-07T08:16:32.0083266Z cudagraph partition due to non gpu ops 2025-09-07T08:16:32.0083338Z cudagraph partition due to non gpu ops 2025-09-07T08:16:32.0083407Z cudagraph partition due to non gpu ops 2025-09-07T08:16:32.0083511Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0083693Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0083761Z return mod(*inputs) 2025-09-07T08:16:32.0083963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward 2025-09-07T08:16:32.0084029Z features = self.features(x) 2025-09-07T08:16:32.0084236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 124, in forward 2025-09-07T08:16:32.0084305Z return torch.cat(features, 1) 2025-09-07T08:16:32.0084308Z 2025-09-07T08:16:32.0084387Z cudagraph partition due to non gpu ops 2025-09-07T08:16:32.0084481Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:16:32.0084663Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:16:32.0084736Z return mod(*inputs) 2025-09-07T08:16:32.0084936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 215, in forward 2025-09-07T08:16:32.0085026Z out = F.adaptive_avg_pool2d(out, (1, 1)) 2025-09-07T08:16:32.0085029Z 2025-09-07T08:16:32.0085105Z cudagraph partition due to non gpu ops 2025-09-07T08:16:32.0085178Z cudagraph partition due to non gpu ops 2025-09-07T08:17:12.3641983Z pass 2025-09-07T08:17:12.3642585Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:14.2505447Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:17:14.2506989Z import pynvml # type: ignore[import] 2025-09-07T08:17:15.9629114Z 2025-09-07T08:17:16.1387187Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T08:17:16.1387614Z what(): std::bad_array_new_length 2025-09-07T08:18:49.1054059Z Run failed with return code: -6 2025-09-07T08:18:49.1054645Z Output: None 2025-09-07T08:18:49.1054902Z Error: None 2025-09-07T08:18:49.4308594Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:18:49.4310000Z import pynvml # type: ignore[import] 2025-09-07T08:18:51.1343795Z 2025-09-07T08:18:51.3125697Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T08:18:51.3126170Z what(): std::bad_array_new_length 2025-09-07T08:20:23.8326504Z Run failed with return code: -6 2025-09-07T08:20:23.8326796Z Output: None 2025-09-07T08:20:23.8326965Z Error: None 2025-09-07T08:20:24.1604671Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:20:24.1606244Z import pynvml # type: ignore[import] 2025-09-07T08:20:25.8681814Z 2025-09-07T08:20:26.0437650Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T08:20:26.0438082Z what(): std::bad_array_new_length 2025-09-07T08:21:59.1632873Z Run failed with return code: -6 2025-09-07T08:21:59.1633194Z Output: None 2025-09-07T08:21:59.1633436Z Error: None 2025-09-07T08:21:59.5003176Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:21:59.5004607Z import pynvml # type: ignore[import] 2025-09-07T08:22:01.2037053Z 2025-09-07T08:22:01.3794169Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T08:22:01.3794610Z what(): std::bad_array_new_length 2025-09-07T08:23:33.5373011Z Run failed with return code: -6 2025-09-07T08:23:33.5373328Z Output: None 2025-09-07T08:23:33.5373517Z Error: None 2025-09-07T08:23:33.8732930Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:23:33.8734333Z import pynvml # type: ignore[import] 2025-09-07T08:23:35.5859380Z 2025-09-07T08:23:35.7619476Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T08:23:35.7619920Z what(): std::bad_array_new_length 2025-09-07T08:25:07.9638654Z Run failed with return code: -6 2025-09-07T08:25:07.9638967Z Output: None 2025-09-07T08:25:07.9639188Z Error: None 2025-09-07T08:25:08.2935364Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:25:08.2936782Z import pynvml # type: ignore[import] 2025-09-07T08:25:10.0040031Z 2025-09-07T08:25:10.1804653Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T08:25:10.1805107Z what(): std::bad_array_new_length 2025-09-07T08:26:42.8904743Z Run failed with return code: -6 2025-09-07T08:26:42.8905024Z Output: None 2025-09-07T08:26:42.8905192Z Error: None 2025-09-07T08:26:43.2226894Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:26:43.2228325Z import pynvml # type: ignore[import] 2025-09-07T08:26:44.9312356Z 2025-09-07T08:26:45.1102022Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T08:26:45.1102479Z what(): std::bad_array_new_length 2025-09-07T08:28:18.9535577Z Run failed with return code: -6 2025-09-07T08:28:18.9535889Z Output: None 2025-09-07T08:28:18.9536077Z Error: None 2025-09-07T08:28:19.2813277Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:28:19.2815113Z import pynvml # type: ignore[import] 2025-09-07T08:28:20.9828191Z 2025-09-07T08:28:21.1600040Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T08:28:21.1600549Z what(): std::bad_array_new_length 2025-09-07T08:29:54.0315248Z Run failed with return code: -6 2025-09-07T08:29:54.0315514Z Output: None 2025-09-07T08:29:54.0315676Z Error: None 2025-09-07T08:29:54.3729257Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:29:54.3730685Z import pynvml # type: ignore[import] 2025-09-07T08:29:56.0842135Z 2025-09-07T08:29:56.2629274Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T08:29:56.2629857Z what(): std::bad_array_new_length 2025-09-07T08:31:28.3087890Z Run failed with return code: -6 2025-09-07T08:31:28.3088212Z Output: None 2025-09-07T08:31:28.3088446Z Error: None 2025-09-07T08:31:28.6424679Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:31:28.6426096Z import pynvml # type: ignore[import] 2025-09-07T08:31:30.3475639Z 2025-09-07T08:31:30.5231200Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T08:31:30.5231658Z what(): std::bad_array_new_length 2025-09-07T08:33:03.6869279Z Run failed with return code: -6 2025-09-07T08:33:03.6869600Z Output: None 2025-09-07T08:33:03.6869817Z Error: None 2025-09-07T08:33:04.0222889Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:33:04.0224323Z import pynvml # type: ignore[import] 2025-09-07T08:33:05.7284634Z 2025-09-07T08:33:05.9065574Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T08:33:05.9066015Z what(): std::bad_array_new_length 2025-09-07T08:34:38.6664533Z Run failed with return code: -6 2025-09-07T08:34:38.6664832Z Output: None 2025-09-07T08:34:38.6665022Z Error: None 2025-09-07T08:34:38.6697644Z accuracy pass_rate=91.67% 2025-09-07T08:34:38.6703536Z calls_captured gmean=0.00x mean=147.000x 2025-09-07T08:34:38.6706950Z unique_graphs gmean=0.00x mean=1.833x 2025-09-07T08:34:38.6709635Z graph_breaks gmean=0.00x mean=0.750x 2025-09-07T08:34:38.6711999Z unique_graph_breaks gmean=0.00x mean=0.167x 2025-09-07T08:34:38.6714645Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T08:34:38.6717227Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T08:34:38.6719508Z cudagraph_skips gmean=0.00x mean=1.500x 2025-09-07T08:34:38.6720229Z compilation_latency mean=18.730 seconds 2025-09-07T08:34:39.0661433Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *cppwrapper-true* ]] 2025-09-07T08:34:39.0662118Z + TORCHINDUCTOR_CPP_WRAPPER=1 2025-09-07T08:34:39.0663172Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --accuracy --no-translation-validation --freezing --inference --amp --backend inductor --disable-cudagraphs --device cpu --total-partitions 4 --partition-id 0 --output /var/lib/jenkins/workspace/test/test-reports/inductor_cpp_wrapper_torchbench_amp_inference_cpu_x86_accuracy.csv 2025-09-07T08:34:39.4006355Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:34:39.4007796Z import pynvml # type: ignore[import] 2025-09-07T08:34:41.4721157Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:34:41.4722581Z import pynvml # type: ignore[import] 2025-09-07T08:34:43.1753346Z 2025-09-07T08:34:44.5024777Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:34:44.5025144Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:34:44.5025541Z cpu eval BERT_pytorch 2025-09-07T08:34:44.7170934Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:34:44.8538983Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:34:44.9896696Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:35:10.1956902Z pass 2025-09-07T08:35:10.1957351Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:35:11.9395794Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:35:11.9397211Z import pynvml # type: ignore[import] 2025-09-07T08:35:13.6585955Z 2025-09-07T08:35:15.5674407Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:35:15.5674728Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:35:15.5674999Z cpu eval Background_Matting 2025-09-07T08:35:15.6673218Z pass_due_to_skip 2025-09-07T08:35:15.6673666Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:35:16.7444515Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:35:16.7445966Z import pynvml # type: ignore[import] 2025-09-07T08:35:18.4588525Z 2025-09-07T08:35:19.9012684Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:35:19.9013069Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:35:19.9013412Z cpu eval LearningToPaint 2025-09-07T08:35:19.9726624Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:35:19.9939028Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:35:20.0128637Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:35:32.0092827Z pass 2025-09-07T08:35:32.0093309Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:35:33.8225995Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:35:33.8227420Z import pynvml # type: ignore[import] 2025-09-07T08:35:35.5331907Z 2025-09-07T08:35:37.0191890Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:35:37.0192808Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:35:37.0193143Z cpu eval Super_SloMo 2025-09-07T08:35:52.3191410Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:35:52.6426301Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:35:52.9626804Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:36:24.3943529Z pass 2025-09-07T08:36:24.3943957Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:36:26.5008126Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:36:26.5009565Z import pynvml # type: ignore[import] 2025-09-07T08:36:28.2035008Z 2025-09-07T08:36:28.7932070Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:36:28.7932471Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:36:28.7932800Z cpu eval alexnet 2025-09-07T08:36:28.8626432Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:36:28.8789583Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:36:28.8933905Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:36:40.4609784Z pass 2025-09-07T08:36:40.4610196Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:36:42.1124026Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:36:42.1125483Z import pynvml # type: ignore[import] 2025-09-07T08:36:43.8254059Z 2025-09-07T08:36:44.9375827Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:36:44.9376301Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:36:44.9376757Z cpu eval basic_gnn_edgecnn 2025-09-07T08:36:45.0338133Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:36:45.0598587Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:36:45.0841748Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:36:54.7404389Z pass 2025-09-07T08:36:54.7404947Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:36:56.2902870Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:36:56.2904332Z import pynvml # type: ignore[import] 2025-09-07T08:36:57.9939342Z 2025-09-07T08:36:59.0927268Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:36:59.0927736Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:36:59.0928098Z cpu eval basic_gnn_gcn 2025-09-07T08:36:59.1324777Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:36:59.1525643Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:36:59.1701186Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:37:13.8772628Z pass 2025-09-07T08:37:13.8773126Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:37:15.4530511Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:37:15.4531937Z import pynvml # type: ignore[import] 2025-09-07T08:37:17.1661508Z 2025-09-07T08:37:18.2547597Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:37:18.2547979Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:37:18.2548307Z cpu eval basic_gnn_gin 2025-09-07T08:37:18.2760714Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:37:18.2898555Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:37:18.3020165Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:37:27.5368396Z pass 2025-09-07T08:37:27.5368807Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:37:29.0907712Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:37:29.0909156Z import pynvml # type: ignore[import] 2025-09-07T08:37:30.7973342Z 2025-09-07T08:37:31.8911584Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:37:31.8912002Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:37:31.8912325Z cpu eval basic_gnn_sage 2025-09-07T08:37:31.9130002Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:37:31.9268069Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:37:31.9387145Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:37:41.3081131Z pass 2025-09-07T08:37:41.3081546Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:37:42.8649406Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:37:42.8650831Z import pynvml # type: ignore[import] 2025-09-07T08:37:44.5682172Z 2025-09-07T08:37:44.7291104Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:37:44.7291504Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:37:44.7291842Z cpu eval dcgan 2025-09-07T08:37:44.7427062Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:37:44.7486871Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:37:44.7530327Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:37:54.6296519Z pass 2025-09-07T08:37:54.6296923Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:37:56.1023882Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:37:56.1025323Z import pynvml # type: ignore[import] 2025-09-07T08:37:57.8081235Z 2025-09-07T08:37:59.0500504Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:37:59.0500840Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:37:59.0501507Z cpu eval demucs 2025-09-07T08:37:59.5938096Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:37:59.7252792Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:37:59.8535074Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:38:14.4357775Z pass 2025-09-07T08:38:14.4358213Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:38:16.1102827Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:38:16.1104281Z import pynvml # type: ignore[import] 2025-09-07T08:38:17.8265372Z 2025-09-07T08:38:18.2817056Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:38:18.2817362Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:38:18.2817613Z cpu eval densenet121 2025-09-07T08:38:18.6845000Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:38:18.7970777Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:38:18.9035696Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:38:58.6678111Z pass 2025-09-07T08:38:58.6678657Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:39:00.7612326Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:39:00.7613780Z import pynvml # type: ignore[import] 2025-09-07T08:39:02.4644325Z 2025-09-07T08:39:02.6425788Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T08:39:02.6426262Z what(): std::bad_array_new_length 2025-09-07T08:40:35.6995222Z Run failed with return code: -6 2025-09-07T08:40:35.6995551Z Output: None 2025-09-07T08:40:35.6995746Z Error: None 2025-09-07T08:40:36.0330629Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:40:36.0332041Z import pynvml # type: ignore[import] 2025-09-07T08:40:37.7428466Z 2025-09-07T08:40:37.9191876Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T08:40:37.9192379Z what(): std::bad_array_new_length 2025-09-07T08:42:10.2779216Z Run failed with return code: -6 2025-09-07T08:42:10.2779523Z Output: None 2025-09-07T08:42:10.2779703Z Error: None 2025-09-07T08:42:10.6108324Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:42:10.6109777Z import pynvml # type: ignore[import] 2025-09-07T08:42:12.3163927Z 2025-09-07T08:42:12.4912055Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T08:42:12.4912483Z what(): std::bad_array_new_length 2025-09-07T08:43:45.4593842Z Run failed with return code: -6 2025-09-07T08:43:45.4594142Z Output: None 2025-09-07T08:43:45.4594646Z Error: None 2025-09-07T08:43:45.7929794Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:43:45.7931634Z import pynvml # type: ignore[import] 2025-09-07T08:43:47.5041405Z 2025-09-07T08:43:47.6793594Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T08:43:47.6794040Z what(): std::bad_array_new_length 2025-09-07T08:45:20.6866240Z Run failed with return code: -6 2025-09-07T08:45:20.6866568Z Output: None 2025-09-07T08:45:20.6866751Z Error: None 2025-09-07T08:45:21.0456534Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:45:21.0458024Z import pynvml # type: ignore[import] 2025-09-07T08:45:22.7619171Z 2025-09-07T08:45:22.9401758Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T08:45:22.9405145Z what(): std::bad_array_new_length 2025-09-07T08:46:55.8152458Z Run failed with return code: -6 2025-09-07T08:46:55.8152769Z Output: None 2025-09-07T08:46:55.8152966Z Error: None 2025-09-07T08:46:56.1536647Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:46:56.1538031Z import pynvml # type: ignore[import] 2025-09-07T08:46:57.8649659Z 2025-09-07T08:46:58.0436906Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T08:46:58.0437391Z what(): std::bad_array_new_length 2025-09-07T08:48:30.5932280Z Run failed with return code: -6 2025-09-07T08:48:30.5932594Z Output: None 2025-09-07T08:48:30.5932780Z Error: None 2025-09-07T08:48:30.9213380Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:48:30.9214865Z import pynvml # type: ignore[import] 2025-09-07T08:48:32.6334244Z 2025-09-07T08:48:32.8122482Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T08:48:32.8122926Z what(): std::bad_array_new_length 2025-09-07T08:50:04.9705915Z Run failed with return code: -6 2025-09-07T08:50:04.9706211Z Output: None 2025-09-07T08:50:04.9706374Z Error: None 2025-09-07T08:50:05.3001763Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:50:05.3003235Z import pynvml # type: ignore[import] 2025-09-07T08:50:07.0113386Z 2025-09-07T08:50:07.1873977Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T08:50:07.1874427Z what(): std::bad_array_new_length 2025-09-07T08:51:39.1999459Z Run failed with return code: -6 2025-09-07T08:51:39.1999786Z Output: None 2025-09-07T08:51:39.1999973Z Error: None 2025-09-07T08:51:39.5287108Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:51:39.5288985Z import pynvml # type: ignore[import] 2025-09-07T08:51:41.2367543Z 2025-09-07T08:51:41.4119013Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T08:51:41.4119856Z what(): std::bad_array_new_length 2025-09-07T08:53:13.4260586Z Run failed with return code: -6 2025-09-07T08:53:13.4260891Z Output: None 2025-09-07T08:53:13.4261073Z Error: None 2025-09-07T08:53:13.7608691Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:53:13.7610113Z import pynvml # type: ignore[import] 2025-09-07T08:53:15.4723927Z 2025-09-07T08:53:15.6509861Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T08:53:15.6510338Z what(): std::bad_array_new_length 2025-09-07T08:54:48.9561084Z Run failed with return code: -6 2025-09-07T08:54:48.9561341Z Output: None 2025-09-07T08:54:48.9561497Z Error: None 2025-09-07T08:54:49.2927450Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:54:49.2928860Z import pynvml # type: ignore[import] 2025-09-07T08:54:51.0052274Z 2025-09-07T08:54:51.1810033Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T08:54:51.1810455Z what(): std::bad_array_new_length 2025-09-07T08:56:24.0844760Z Run failed with return code: -6 2025-09-07T08:56:24.0845072Z Output: None 2025-09-07T08:56:24.0845259Z Error: None 2025-09-07T08:56:24.0881278Z accuracy pass_rate=91.67% 2025-09-07T08:56:24.0886741Z calls_captured gmean=0.00x mean=147.000x 2025-09-07T08:56:24.0889602Z unique_graphs gmean=0.00x mean=1.833x 2025-09-07T08:56:24.0892013Z graph_breaks gmean=0.00x mean=0.750x 2025-09-07T08:56:24.0894171Z unique_graph_breaks gmean=0.00x mean=0.167x 2025-09-07T08:56:24.0896057Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T08:56:24.0898015Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T08:56:24.0899980Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T08:56:24.0900733Z compilation_latency mean=15.456 seconds 2025-09-07T08:56:24.4866130Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *freezing_cudagraphs-true* ]] 2025-09-07T08:56:24.4866976Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *freeze_autotune_cudagraphs-true* ]] 2025-09-07T08:56:24.4867779Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *aotinductor-true* ]] 2025-09-07T08:56:24.4868250Z + [[ inference == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T08:56:24.4868454Z + [[ accuracy == \a\c\c\u\r\a\c\y ]] 2025-09-07T08:56:24.4869291Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --accuracy --no-translation-validation --freezing --inference --amp --export --disable-cudagraphs --device cpu --total-partitions 4 --partition-id 0 --output /var/lib/jenkins/workspace/test/test-reports/inductor_export_torchbench_amp_inference_cpu_x86_accuracy.csv 2025-09-07T08:56:24.8123451Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:56:24.8124853Z import pynvml # type: ignore[import] 2025-09-07T08:56:26.8702175Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:56:26.8703961Z import pynvml # type: ignore[import] 2025-09-07T08:56:28.5757198Z 2025-09-07T08:56:29.8923542Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:56:29.8924276Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:56:29.8925313Z cpu eval BERT_pytorch 2025-09-07T08:56:30.1083525Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:56:30.2451921Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:56:30.3797899Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:56:30.5424568Z ERROR:common: 2025-09-07T08:56:30.5424875Z Traceback (most recent call last): 2025-09-07T08:56:30.5425312Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 2320, in check_accuracy 2025-09-07T08:56:30.5425765Z optimized_model_iter_fn = optimize_ctx( 2025-09-07T08:56:30.5426091Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1523, in export 2025-09-07T08:56:30.5426395Z ep = torch.export.export( 2025-09-07T08:56:30.5426741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/__init__.py", line 311, in export 2025-09-07T08:56:30.5427058Z raise e 2025-09-07T08:56:30.5427336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/__init__.py", line 277, in export 2025-09-07T08:56:30.5427639Z return _export( 2025-09-07T08:56:30.5427934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 1163, in wrapper 2025-09-07T08:56:30.5428241Z raise e 2025-09-07T08:56:30.5428511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 1129, in wrapper 2025-09-07T08:56:30.5428824Z ep = fn(*args, **kwargs) 2025-09-07T08:56:30.5429167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/exported_program.py", line 124, in wrapper 2025-09-07T08:56:30.5429514Z return fn(*args, **kwargs) 2025-09-07T08:56:30.5429827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 2255, in _export 2025-09-07T08:56:30.5430140Z ep = _export_for_training( 2025-09-07T08:56:30.5430436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 1163, in wrapper 2025-09-07T08:56:30.5430738Z raise e 2025-09-07T08:56:30.5431007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 1129, in wrapper 2025-09-07T08:56:30.5431320Z ep = fn(*args, **kwargs) 2025-09-07T08:56:30.5431636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/exported_program.py", line 124, in wrapper 2025-09-07T08:56:30.5431979Z return fn(*args, **kwargs) 2025-09-07T08:56:30.5432318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 2071, in _export_for_training 2025-09-07T08:56:30.5432674Z export_artifact = export_func( 2025-09-07T08:56:30.5433014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 1415, in _strict_export 2025-09-07T08:56:30.5433401Z gm_torch_level = _export_to_torch_ir( 2025-09-07T08:56:30.5433755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 812, in _export_to_torch_ir 2025-09-07T08:56:30.5434107Z gm_torch_level, _ = torch._dynamo.export( 2025-09-07T08:56:30.5434446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/eval_frame.py", line 2002, in inner 2025-09-07T08:56:30.5434782Z result_traced = opt_f(*args, **kwargs) 2025-09-07T08:56:30.5435117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/eval_frame.py", line 414, in __call__ 2025-09-07T08:56:30.5435730Z return super().__call__(*args, **kwargs) 2025-09-07T08:56:30.5436105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T08:56:30.5436569Z return self._call_impl(*args, **kwargs) 2025-09-07T08:56:30.5436916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T08:56:30.5437255Z return forward_call(*args, **kwargs) 2025-09-07T08:56:30.5437595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/eval_frame.py", line 832, in compile_wrapper 2025-09-07T08:56:30.5437942Z return fn(*args, **kwargs) 2025-09-07T08:56:30.5438283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T08:56:30.5438642Z return self._call_impl(*args, **kwargs) 2025-09-07T08:56:30.5438986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T08:56:30.5439318Z return forward_call(*args, **kwargs) 2025-09-07T08:56:30.5439659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/convert_frame.py", line 1875, in __call__ 2025-09-07T08:56:30.5440014Z result = self._torchdynamo_orig_backend( 2025-09-07T08:56:30.5440356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/convert_frame.py", line 688, in __call__ 2025-09-07T08:56:30.5440685Z result = _compile( 2025-09-07T08:56:30.5440986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/convert_frame.py", line 1433, in _compile 2025-09-07T08:56:30.5441379Z guarded_code, tracer_output = compile_inner(code, one_graph, hooks) 2025-09-07T08:56:30.5441776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_utils_internal.py", line 92, in wrapper_function 2025-09-07T08:56:30.5442119Z return function(*args, **kwargs) 2025-09-07T08:56:30.5442455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/convert_frame.py", line 1117, in compile_inner 2025-09-07T08:56:30.5442826Z return _compile_inner(code, one_graph, hooks) 2025-09-07T08:56:30.5443195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/convert_frame.py", line 1151, in _compile_inner 2025-09-07T08:56:30.5443549Z dynamo_output = compile_frame( 2025-09-07T08:56:30.5443887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/convert_frame.py", line 1032, in compile_frame 2025-09-07T08:56:30.5444280Z bytecode, tracer_output = transform_code_object(code, transform) 2025-09-07T08:56:30.5444727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/bytecode_transformation.py", line 1592, in transform_code_object 2025-09-07T08:56:30.5445172Z tracer_output = transformations(instructions, code_options) 2025-09-07T08:56:30.5445555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/convert_frame.py", line 1004, in transform 2025-09-07T08:56:30.5445900Z tracer_output = trace_frame( 2025-09-07T08:56:30.5446210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/convert_frame.py", line 312, in _fn 2025-09-07T08:56:30.5446532Z return fn(*args, **kwargs) 2025-09-07T08:56:30.5446861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/convert_frame.py", line 815, in trace_frame 2025-09-07T08:56:30.5447185Z run_tracer() 2025-09-07T08:56:30.5447478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/convert_frame.py", line 797, in run_tracer 2025-09-07T08:56:30.5447808Z tracer.run() 2025-09-07T08:56:30.5448100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1487, in run 2025-09-07T08:56:30.5448424Z while self.step(): 2025-09-07T08:56:30.5448728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1348, in step 2025-09-07T08:56:30.5450197Z self.dispatch_table[inst.opcode](self, inst) 2025-09-07T08:56:30.5450563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 904, in wrapper 2025-09-07T08:56:30.5450908Z return inner_fn(self, inst) 2025-09-07T08:56:30.5451326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 2320, in CALL_FUNCTION 2025-09-07T08:56:30.5451675Z self.call_function(fn, args, {}) 2025-09-07T08:56:30.5452024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1266, in call_function 2025-09-07T08:56:30.5452445Z self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] 2025-09-07T08:56:30.5452872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/lazy.py", line 212, in realize_and_forward 2025-09-07T08:56:30.5453267Z return getattr(self.realize(), name)(*args, **kwargs) 2025-09-07T08:56:30.5453647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/nn_module.py", line 528, in call_function 2025-09-07T08:56:30.5454017Z return tx.inline_user_function_return( 2025-09-07T08:56:30.5454405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1288, in inline_user_function_return 2025-09-07T08:56:30.5454867Z return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) 2025-09-07T08:56:30.5455297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4112, in inline_call 2025-09-07T08:56:30.5455641Z return tracer.inline_call_() 2025-09-07T08:56:30.5455981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4315, in inline_call_ 2025-09-07T08:56:30.5456317Z self.run() 2025-09-07T08:56:30.5456610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1487, in run 2025-09-07T08:56:30.5457127Z while self.step(): 2025-09-07T08:56:30.5457448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1348, in step 2025-09-07T08:56:30.5457808Z self.dispatch_table[inst.opcode](self, inst) 2025-09-07T08:56:30.5458173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 904, in wrapper 2025-09-07T08:56:30.5458518Z return inner_fn(self, inst) 2025-09-07T08:56:30.5458866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 2371, in CALL_FUNCTION_EX 2025-09-07T08:56:30.5459270Z self.call_function(fn, argsvars.items, kwargsvars) 2025-09-07T08:56:30.5459661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1266, in call_function 2025-09-07T08:56:30.5460095Z self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] 2025-09-07T08:56:30.5460537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 1154, in call_function 2025-09-07T08:56:30.5460925Z return super().call_function(tx, args, kwargs) 2025-09-07T08:56:30.5461315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 598, in call_function 2025-09-07T08:56:30.5461693Z return super().call_function(tx, args, kwargs) 2025-09-07T08:56:30.5462072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 342, in call_function 2025-09-07T08:56:30.5462517Z return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs) 2025-09-07T08:56:30.5462980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1288, in inline_user_function_return 2025-09-07T08:56:30.5463458Z return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) 2025-09-07T08:56:30.5463958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4112, in inline_call 2025-09-07T08:56:30.5464311Z return tracer.inline_call_() 2025-09-07T08:56:30.5464696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4315, in inline_call_ 2025-09-07T08:56:30.5465041Z self.run() 2025-09-07T08:56:30.5465338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1487, in run 2025-09-07T08:56:30.5465667Z while self.step(): 2025-09-07T08:56:30.5465977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1348, in step 2025-09-07T08:56:30.5466329Z self.dispatch_table[inst.opcode](self, inst) 2025-09-07T08:56:30.5466682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 904, in wrapper 2025-09-07T08:56:30.5467022Z return inner_fn(self, inst) 2025-09-07T08:56:30.5467366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 2320, in CALL_FUNCTION 2025-09-07T08:56:30.5467713Z self.call_function(fn, args, {}) 2025-09-07T08:56:30.5468069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1266, in call_function 2025-09-07T08:56:30.5468489Z self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] 2025-09-07T08:56:30.5468921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 1154, in call_function 2025-09-07T08:56:30.5469299Z return super().call_function(tx, args, kwargs) 2025-09-07T08:56:30.5469667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 598, in call_function 2025-09-07T08:56:30.5470041Z return super().call_function(tx, args, kwargs) 2025-09-07T08:56:30.5470412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 342, in call_function 2025-09-07T08:56:30.5470852Z return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs) 2025-09-07T08:56:30.5471316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1288, in inline_user_function_return 2025-09-07T08:56:30.5471775Z return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) 2025-09-07T08:56:30.5472208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4112, in inline_call 2025-09-07T08:56:30.5472557Z return tracer.inline_call_() 2025-09-07T08:56:30.5472904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4315, in inline_call_ 2025-09-07T08:56:30.5473241Z self.run() 2025-09-07T08:56:30.5473531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1487, in run 2025-09-07T08:56:30.5473863Z while self.step(): 2025-09-07T08:56:30.5474169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1348, in step 2025-09-07T08:56:30.5474522Z self.dispatch_table[inst.opcode](self, inst) 2025-09-07T08:56:30.5474865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 904, in wrapper 2025-09-07T08:56:30.5475205Z return inner_fn(self, inst) 2025-09-07T08:56:30.5475553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 2320, in CALL_FUNCTION 2025-09-07T08:56:30.5475913Z self.call_function(fn, args, {}) 2025-09-07T08:56:30.5476263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1266, in call_function 2025-09-07T08:56:30.5476672Z self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] 2025-09-07T08:56:30.5477092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 1154, in call_function 2025-09-07T08:56:30.5477499Z return super().call_function(tx, args, kwargs) 2025-09-07T08:56:30.5477874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 598, in call_function 2025-09-07T08:56:30.5478295Z return super().call_function(tx, args, kwargs) 2025-09-07T08:56:30.5478665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 342, in call_function 2025-09-07T08:56:30.5479102Z return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs) 2025-09-07T08:56:30.5479562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1288, in inline_user_function_return 2025-09-07T08:56:30.5480024Z return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) 2025-09-07T08:56:30.5480456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4112, in inline_call 2025-09-07T08:56:30.5480798Z return tracer.inline_call_() 2025-09-07T08:56:30.5481141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4315, in inline_call_ 2025-09-07T08:56:30.5481476Z self.run() 2025-09-07T08:56:30.5481770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1487, in run 2025-09-07T08:56:30.5482087Z while self.step(): 2025-09-07T08:56:30.5482391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1348, in step 2025-09-07T08:56:30.5482740Z self.dispatch_table[inst.opcode](self, inst) 2025-09-07T08:56:30.5483105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 2448, in STORE_ATTR 2025-09-07T08:56:30.5483454Z assert not self.export, ( 2025-09-07T08:56:30.5483687Z AssertionError: Mutating module attribute mask during export. 2025-09-07T08:56:30.5483875Z 2025-09-07T08:56:30.5483935Z from user code: 2025-09-07T08:56:30.5484260Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T08:56:30.5484619Z x = self.bert(x, segment_label) 2025-09-07T08:56:30.5484953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T08:56:30.5485295Z return forward_call(*args, **kwargs) 2025-09-07T08:56:30.5485627Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T08:56:30.5485958Z x = transformer.forward(x, mask) 2025-09-07T08:56:30.5486302Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 47, in forward 2025-09-07T08:56:30.5486646Z self.lambda_module.set_mask(mask) 2025-09-07T08:56:30.5486989Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 16, in set_mask 2025-09-07T08:56:30.5487327Z self.mask = mask 2025-09-07T08:56:30.5487425Z 2025-09-07T08:56:30.5487760Z 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" 2025-09-07T08:56:30.5488134Z 2025-09-07T08:56:30.5488279Z TorchDynamo optimized model failed to run because of following error 2025-09-07T08:56:30.6213564Z fail_to_run 2025-09-07T08:56:30.6213980Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:56:31.6124965Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:56:31.6126499Z import pynvml # type: ignore[import] 2025-09-07T08:56:33.3197359Z 2025-09-07T08:56:35.2258425Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:56:35.2258745Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:56:35.2259014Z cpu eval Background_Matting 2025-09-07T08:56:35.3260879Z pass_due_to_skip 2025-09-07T08:56:35.3261602Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:56:36.3325353Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:56:36.3326789Z import pynvml # type: ignore[import] 2025-09-07T08:56:38.0459479Z 2025-09-07T08:56:39.4892155Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:56:39.4892548Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:56:39.4892888Z cpu eval LearningToPaint 2025-09-07T08:56:39.5595156Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:56:39.5799582Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:56:39.5985629Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:56:47.3188109Z pass 2025-09-07T08:56:47.3188538Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:56:48.4837023Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:56:48.4838458Z import pynvml # type: ignore[import] 2025-09-07T08:56:50.1896702Z 2025-09-07T08:56:51.6715704Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:56:51.6716150Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:56:51.6716486Z cpu eval Super_SloMo 2025-09-07T08:57:07.1581674Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:57:07.4820408Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:57:07.8020678Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:57:18.0711326Z pass 2025-09-07T08:57:18.0711741Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:57:19.2101637Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:57:19.2103071Z import pynvml # type: ignore[import] 2025-09-07T08:57:20.9155694Z 2025-09-07T08:57:21.5126918Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:57:21.5127307Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:57:21.5127637Z cpu eval alexnet 2025-09-07T08:57:21.5810576Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:57:21.5973539Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:57:21.6117781Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:57:29.0670194Z pass 2025-09-07T08:57:29.0670629Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:57:30.0737427Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:57:30.0739256Z import pynvml # type: ignore[import] 2025-09-07T08:57:31.8016965Z 2025-09-07T08:57:32.9104750Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:57:32.9105152Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:57:32.9106000Z cpu eval basic_gnn_edgecnn 2025-09-07T08:57:33.0065022Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:57:33.0325379Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:57:33.0570216Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:57:40.5936729Z pass 2025-09-07T08:57:40.5937160Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:57:41.7627228Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:57:41.7628698Z import pynvml # type: ignore[import] 2025-09-07T08:57:43.4727621Z 2025-09-07T08:57:44.5726822Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:57:44.5727234Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:57:44.5730692Z cpu eval basic_gnn_gcn 2025-09-07T08:57:44.6126889Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:57:44.6331375Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:57:44.6511388Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:57:51.9350397Z pass 2025-09-07T08:57:51.9350813Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:57:53.1019995Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:57:53.1021442Z import pynvml # type: ignore[import] 2025-09-07T08:57:54.8124632Z 2025-09-07T08:57:55.9022368Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:57:55.9022765Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:57:55.9023082Z cpu eval basic_gnn_gin 2025-09-07T08:57:55.9235248Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:57:55.9371494Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:57:55.9489890Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:58:02.7004278Z pass 2025-09-07T08:58:02.7004764Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:58:03.8488027Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:58:03.8489572Z import pynvml # type: ignore[import] 2025-09-07T08:58:05.5545399Z 2025-09-07T08:58:06.6412923Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:58:06.6413313Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:58:06.6416182Z cpu eval basic_gnn_sage 2025-09-07T08:58:06.6633138Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:58:06.6772953Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:58:06.6892002Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:58:13.4039913Z pass 2025-09-07T08:58:13.4040721Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:58:14.5416155Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:58:14.5417593Z import pynvml # type: ignore[import] 2025-09-07T08:58:16.2513135Z 2025-09-07T08:58:16.4176757Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:58:16.4177208Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:58:16.4177592Z cpu eval dcgan 2025-09-07T08:58:16.4315093Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:58:16.4372478Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:58:16.4416035Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:58:23.5762948Z pass 2025-09-07T08:58:23.5763449Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:58:24.4727476Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:58:24.4729021Z import pynvml # type: ignore[import] 2025-09-07T08:58:26.1789883Z 2025-09-07T08:58:27.4204117Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:58:27.4204900Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:58:27.4205168Z cpu eval demucs 2025-09-07T08:58:27.9633663Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:58:28.0955521Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:58:28.2245081Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:58:38.3595888Z pass 2025-09-07T08:58:38.3596308Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:58:39.3815971Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:58:39.3817401Z import pynvml # type: ignore[import] 2025-09-07T08:58:41.0879597Z 2025-09-07T08:58:41.5426037Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:58:41.5426388Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:58:41.5426636Z cpu eval densenet121 2025-09-07T08:58:41.9433396Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:58:42.0551353Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:58:42.1624124Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:58:51.8740971Z pass 2025-09-07T08:58:51.8741406Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:58:52.8855278Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:58:52.8857223Z import pynvml # type: ignore[import] 2025-09-07T08:58:54.5944639Z 2025-09-07T08:58:54.7701895Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T08:58:54.7702639Z what(): std::bad_array_new_length 2025-09-07T09:00:27.7194376Z Run failed with return code: -6 2025-09-07T09:00:27.7194695Z Output: None 2025-09-07T09:00:27.7194869Z Error: None 2025-09-07T09:00:28.0487549Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:00:28.0488956Z import pynvml # type: ignore[import] 2025-09-07T09:00:29.7590130Z 2025-09-07T09:00:29.9375525Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T09:00:29.9376012Z what(): std::bad_array_new_length 2025-09-07T09:02:02.9985138Z Run failed with return code: -6 2025-09-07T09:02:02.9985442Z Output: None 2025-09-07T09:02:02.9985626Z Error: None 2025-09-07T09:02:03.3287984Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:02:03.3289515Z import pynvml # type: ignore[import] 2025-09-07T09:02:05.0352499Z 2025-09-07T09:02:05.2110439Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T09:02:05.2110883Z what(): std::bad_array_new_length 2025-09-07T09:03:37.7775890Z Run failed with return code: -6 2025-09-07T09:03:37.7776163Z Output: None 2025-09-07T09:03:37.7779261Z Error: None 2025-09-07T09:03:38.1056527Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:03:38.1058043Z import pynvml # type: ignore[import] 2025-09-07T09:03:39.8151920Z 2025-09-07T09:03:39.9930600Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T09:03:39.9931040Z what(): std::bad_array_new_length 2025-09-07T09:05:12.8059502Z Run failed with return code: -6 2025-09-07T09:05:12.8059812Z Output: None 2025-09-07T09:05:12.8059992Z Error: None 2025-09-07T09:05:13.1400551Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:05:13.1401999Z import pynvml # type: ignore[import] 2025-09-07T09:05:14.8455839Z 2025-09-07T09:05:15.0215526Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T09:05:15.0216028Z what(): std::bad_array_new_length 2025-09-07T09:06:47.8360824Z Run failed with return code: -6 2025-09-07T09:06:47.8361109Z Output: None 2025-09-07T09:06:47.8361267Z Error: None 2025-09-07T09:06:48.1577987Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:06:48.1579376Z import pynvml # type: ignore[import] 2025-09-07T09:06:49.8782557Z 2025-09-07T09:06:50.0549867Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T09:06:50.0550757Z what(): std::bad_array_new_length 2025-09-07T09:08:22.2627524Z Run failed with return code: -6 2025-09-07T09:08:22.2627873Z Output: None 2025-09-07T09:08:22.2628052Z Error: None 2025-09-07T09:08:22.5920161Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:08:22.5921735Z import pynvml # type: ignore[import] 2025-09-07T09:08:24.3088758Z 2025-09-07T09:08:24.4875826Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T09:08:24.4876253Z what(): std::bad_array_new_length 2025-09-07T09:09:56.4888871Z Run failed with return code: -6 2025-09-07T09:09:56.4889183Z Output: None 2025-09-07T09:09:56.4889404Z Error: None 2025-09-07T09:09:56.8233641Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:09:56.8235134Z import pynvml # type: ignore[import] 2025-09-07T09:09:58.5326678Z 2025-09-07T09:09:58.7104605Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T09:09:58.7105052Z what(): std::bad_array_new_length 2025-09-07T09:11:30.8647770Z Run failed with return code: -6 2025-09-07T09:11:30.8648109Z Output: None 2025-09-07T09:11:30.8648295Z Error: None 2025-09-07T09:11:31.2038050Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:11:31.2039509Z import pynvml # type: ignore[import] 2025-09-07T09:11:32.9130721Z 2025-09-07T09:11:33.0920421Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T09:11:33.0920911Z what(): std::bad_array_new_length 2025-09-07T09:13:05.9918821Z Run failed with return code: -6 2025-09-07T09:13:05.9919094Z Output: None 2025-09-07T09:13:05.9919256Z Error: None 2025-09-07T09:13:06.3208485Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:13:06.3209919Z import pynvml # type: ignore[import] 2025-09-07T09:13:08.0288250Z 2025-09-07T09:13:08.2074244Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T09:13:08.2074721Z what(): std::bad_array_new_length 2025-09-07T09:14:41.2203662Z Run failed with return code: -6 2025-09-07T09:14:41.2203940Z Output: None 2025-09-07T09:14:41.2204105Z Error: None 2025-09-07T09:14:41.5492037Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:14:41.5493426Z import pynvml # type: ignore[import] 2025-09-07T09:14:43.2574115Z 2025-09-07T09:14:43.4329442Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T09:14:43.4329892Z what(): std::bad_array_new_length 2025-09-07T09:16:16.0486306Z Run failed with return code: -6 2025-09-07T09:16:16.0486609Z Output: None 2025-09-07T09:16:16.0486793Z Error: None 2025-09-07T09:16:16.0520182Z accuracy pass_rate=83.33% 2025-09-07T09:16:16.0524821Z calls_captured gmean=0.00x mean=104.833x 2025-09-07T09:16:16.0527269Z unique_graphs gmean=0.00x mean=0.833x 2025-09-07T09:16:16.0529314Z graph_breaks gmean=0.00x mean=0.000x 2025-09-07T09:16:16.0531817Z unique_graph_breaks gmean=0.00x mean=0.000x 2025-09-07T09:16:16.0533535Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T09:16:16.0535775Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T09:16:16.0537947Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T09:16:16.0538250Z compilation_latency mean=6.212 seconds 2025-09-07T09:16:16.4539536Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --accuracy --no-translation-validation --freezing --inference --amp --export-aot-inductor --disable-cudagraphs --device cpu --total-partitions 4 --partition-id 0 --output /var/lib/jenkins/workspace/test/test-reports/inductor_aot_inductor_torchbench_amp_inference_cpu_x86_accuracy.csv 2025-09-07T09:16:16.7738135Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:16:16.7739571Z import pynvml # type: ignore[import] 2025-09-07T09:16:18.8312654Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:16:18.8314069Z import pynvml # type: ignore[import] 2025-09-07T09:16:20.5367284Z 2025-09-07T09:16:21.8519515Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:16:21.8521021Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:16:21.8521881Z cpu eval BERT_pytorch 2025-09-07T09:16:22.0663136Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:16:22.2060171Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:16:22.3407416Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:16:52.8375672Z pass 2025-09-07T09:16:52.8376270Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:16:54.4116847Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:16:54.4118387Z import pynvml # type: ignore[import] 2025-09-07T09:16:56.1154815Z 2025-09-07T09:16:58.0225320Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:16:58.0225880Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:16:58.0226205Z cpu eval Background_Matting 2025-09-07T09:16:58.1223820Z pass_due_to_skip 2025-09-07T09:16:58.1224234Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:16:59.1644175Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:16:59.1645596Z import pynvml # type: ignore[import] 2025-09-07T09:17:00.8836203Z 2025-09-07T09:17:02.3206501Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:17:02.3206888Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:17:02.3207215Z cpu eval LearningToPaint 2025-09-07T09:17:02.3946142Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:17:02.4157378Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:17:02.4340987Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:17:14.0636501Z pass 2025-09-07T09:17:14.0637214Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:17:15.5498174Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:17:15.5499569Z import pynvml # type: ignore[import] 2025-09-07T09:17:17.2513875Z 2025-09-07T09:17:18.7392792Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:17:18.7393262Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:17:18.7393655Z cpu eval Super_SloMo 2025-09-07T09:17:34.0520115Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:17:34.3725456Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:17:34.6931997Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:18:02.3090695Z pass 2025-09-07T09:18:02.3091126Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:18:04.1722676Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:18:04.1724119Z import pynvml # type: ignore[import] 2025-09-07T09:18:05.8845564Z 2025-09-07T09:18:06.4759539Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:18:06.4759927Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:18:06.4760256Z cpu eval alexnet 2025-09-07T09:18:06.5458056Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:18:06.5621488Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:18:06.5765145Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:18:18.4291350Z pass 2025-09-07T09:18:18.4291777Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:18:19.7132139Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:18:19.7133606Z import pynvml # type: ignore[import] 2025-09-07T09:18:21.4220726Z 2025-09-07T09:18:22.5318781Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:18:22.5319177Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:18:22.5319521Z cpu eval basic_gnn_edgecnn 2025-09-07T09:18:22.6286562Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:18:22.6547105Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:18:22.6791356Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:18:31.7000036Z pass 2025-09-07T09:18:31.7000439Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:18:32.9513637Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:18:32.9515497Z import pynvml # type: ignore[import] 2025-09-07T09:18:34.6554875Z 2025-09-07T09:18:35.7596413Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:18:35.7597363Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:18:35.7597703Z cpu eval basic_gnn_gcn 2025-09-07T09:18:35.7992774Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:18:35.8197327Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:18:35.8379081Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:18:45.6169114Z pass 2025-09-07T09:18:45.6169572Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:18:46.9009245Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:18:46.9010740Z import pynvml # type: ignore[import] 2025-09-07T09:18:48.6084851Z 2025-09-07T09:18:49.6924116Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:18:49.6924528Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:18:49.6924851Z cpu eval basic_gnn_gin 2025-09-07T09:18:49.7135934Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:18:49.7272837Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:18:49.7389814Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:18:58.4387640Z pass 2025-09-07T09:18:58.4388057Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:18:59.6488708Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:18:59.6490134Z import pynvml # type: ignore[import] 2025-09-07T09:19:01.3525773Z 2025-09-07T09:19:02.4552933Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:19:02.4553334Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:19:02.4553663Z cpu eval basic_gnn_sage 2025-09-07T09:19:02.4774219Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:19:02.4911428Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:19:02.5032634Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:19:11.2389928Z pass 2025-09-07T09:19:11.2390328Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:19:12.4612776Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:19:12.4614188Z import pynvml # type: ignore[import] 2025-09-07T09:19:14.1668912Z 2025-09-07T09:19:14.3284439Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:19:14.3284875Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:19:14.3285257Z cpu eval dcgan 2025-09-07T09:19:14.3415275Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:19:14.3469607Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:19:14.3512918Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:19:23.3814508Z pass 2025-09-07T09:19:23.3815382Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:19:24.5425737Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:19:24.5427301Z import pynvml # type: ignore[import] 2025-09-07T09:19:26.2514802Z 2025-09-07T09:19:27.4917989Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:19:27.4918927Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:19:27.4919216Z cpu eval demucs 2025-09-07T09:19:28.0372805Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:19:28.1754589Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:19:28.3077027Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:19:44.1738122Z pass 2025-09-07T09:19:44.1738532Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:19:45.5506662Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:19:45.5508064Z import pynvml # type: ignore[import] 2025-09-07T09:19:47.2548862Z 2025-09-07T09:19:47.7101256Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:19:47.7101615Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:19:47.7101871Z cpu eval densenet121 2025-09-07T09:19:48.1185836Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:19:48.2297532Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:19:48.3358565Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:20:21.9137216Z pass 2025-09-07T09:20:21.9137693Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T09:20:23.8418204Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:20:23.8419656Z import pynvml # type: ignore[import] 2025-09-07T09:20:25.5544675Z 2025-09-07T09:20:25.7334665Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T09:20:25.7335097Z what(): std::bad_array_new_length 2025-09-07T09:22:00.1901080Z Run failed with return code: -6 2025-09-07T09:22:00.1901406Z Output: None 2025-09-07T09:22:00.1901586Z Error: None 2025-09-07T09:22:00.5228427Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:22:00.5229808Z import pynvml # type: ignore[import] 2025-09-07T09:22:02.2286575Z 2025-09-07T09:22:02.4064002Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T09:22:02.4064913Z what(): std::bad_array_new_length 2025-09-07T09:23:35.3660949Z Run failed with return code: -6 2025-09-07T09:23:35.3661191Z Output: None 2025-09-07T09:23:35.3661368Z Error: None 2025-09-07T09:23:35.6990761Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:23:35.6992299Z import pynvml # type: ignore[import] 2025-09-07T09:23:37.4112105Z 2025-09-07T09:23:37.5874964Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T09:23:37.5875416Z what(): std::bad_array_new_length 2025-09-07T09:25:10.5430373Z Run failed with return code: -6 2025-09-07T09:25:10.5430677Z Output: None 2025-09-07T09:25:10.5430843Z Error: None 2025-09-07T09:25:10.8750084Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:25:10.8751559Z import pynvml # type: ignore[import] 2025-09-07T09:25:12.5828423Z 2025-09-07T09:25:12.7578285Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T09:25:12.7578733Z what(): std::bad_array_new_length 2025-09-07T09:26:44.9166711Z Run failed with return code: -6 2025-09-07T09:26:44.9167024Z Output: None 2025-09-07T09:26:44.9167208Z Error: None 2025-09-07T09:26:45.2520144Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:26:45.2521613Z import pynvml # type: ignore[import] 2025-09-07T09:26:46.9586555Z 2025-09-07T09:26:47.1368324Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T09:26:47.1368778Z what(): std::bad_array_new_length 2025-09-07T09:28:19.6420224Z Run failed with return code: -6 2025-09-07T09:28:19.6420654Z Output: None 2025-09-07T09:28:19.6420905Z Error: None 2025-09-07T09:28:19.9713337Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:28:19.9714664Z import pynvml # type: ignore[import] 2025-09-07T09:28:21.6778226Z 2025-09-07T09:28:21.8530752Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T09:28:21.8531333Z what(): std::bad_array_new_length 2025-09-07T09:29:55.5189028Z Run failed with return code: -6 2025-09-07T09:29:55.5189314Z Output: None 2025-09-07T09:29:55.5189503Z Error: None 2025-09-07T09:29:55.8528164Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:29:55.8529655Z import pynvml # type: ignore[import] 2025-09-07T09:29:57.5637735Z 2025-09-07T09:29:57.7421120Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T09:29:57.7421556Z what(): std::bad_array_new_length 2025-09-07T09:31:30.9436118Z Run failed with return code: -6 2025-09-07T09:31:30.9436414Z Output: None 2025-09-07T09:31:30.9436573Z Error: None 2025-09-07T09:31:31.2810258Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:31:31.2811971Z import pynvml # type: ignore[import] 2025-09-07T09:31:32.9877552Z 2025-09-07T09:31:33.1662430Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T09:31:33.1662922Z what(): std::bad_array_new_length 2025-09-07T09:33:05.1681480Z Run failed with return code: -6 2025-09-07T09:33:05.1681866Z Output: None 2025-09-07T09:33:05.1682094Z Error: None 2025-09-07T09:33:05.5014358Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:33:05.5015789Z import pynvml # type: ignore[import] 2025-09-07T09:33:07.2065854Z 2025-09-07T09:33:07.3813729Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T09:33:07.3814171Z what(): std::bad_array_new_length 2025-09-07T09:34:39.4424351Z Run failed with return code: -6 2025-09-07T09:34:39.4424682Z Output: None 2025-09-07T09:34:39.4424850Z Error: None 2025-09-07T09:34:39.7730089Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:34:39.7731671Z import pynvml # type: ignore[import] 2025-09-07T09:34:41.4804785Z 2025-09-07T09:34:41.6584140Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length' 2025-09-07T09:34:41.6584575Z what(): std::bad_array_new_length 2025-09-07T09:36:14.7186526Z Run failed with return code: -6 2025-09-07T09:36:14.7186816Z Output: None 2025-09-07T09:36:14.7186993Z Error: None 2025-09-07T09:36:14.7226185Z accuracy pass_rate=91.67% 2025-09-07T09:36:14.7230907Z calls_captured gmean=0.00x mean=0.000x 2025-09-07T09:36:14.7233767Z unique_graphs gmean=0.00x mean=0.000x 2025-09-07T09:36:14.7236223Z graph_breaks gmean=0.00x mean=0.000x 2025-09-07T09:36:14.7238512Z unique_graph_breaks gmean=0.00x mean=0.000x 2025-09-07T09:36:14.7240978Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T09:36:14.7243199Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T09:36:14.7245433Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T09:36:14.7246186Z compilation_latency mean=0.000 seconds 2025-09-07T09:36:15.1099305Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *maxautotune-true* ]] 2025-09-07T09:36:15.1100392Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *cudagraphs_low_precision-true* ]] 2025-09-07T09:36:15.1101048Z + for target in "${targets[@]}" 2025-09-07T09:36:15.1101265Z + target_flag=('--performance') 2025-09-07T09:36:15.1101466Z + local target_flag 2025-09-07T09:36:15.1101677Z + [[ performance == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T09:36:15.1101920Z + target_flag+=(--cold-start-latency) 2025-09-07T09:36:15.1102439Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *freezing-true* ]] 2025-09-07T09:36:15.1102970Z + target_flag+=(--freezing) 2025-09-07T09:36:15.1103470Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *default-true* ]] 2025-09-07T09:36:15.1104802Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --performance --cold-start-latency --freezing --inference --amp --backend inductor --disable-cudagraphs --device cpu --total-partitions 4 --partition-id 0 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_torchbench_amp_inference_cpu_x86_performance.csv 2025-09-07T09:36:15.4419238Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:36:15.4420674Z import pynvml # type: ignore[import] 2025-09-07T09:36:17.5004798Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:36:17.5006130Z import pynvml # type: ignore[import] 2025-09-07T09:36:19.2076992Z 2025-09-07T09:36:20.5004310Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:36:20.5005271Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:36:20.5005606Z cpu eval BERT_pytorch 2025-09-07T09:36:48.4026163Z 2025-09-07T09:36:48.5400247Z running benchmark: 0% 0/30 [00:00 0).unsqueeze(1).repeat(1, x.size(1), 1).unsqueeze(1) 2025-09-07T09:59:44.9864863Z 2025-09-07T09:59:44.9865004Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:44.9865388Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:44.9865754Z return mod(*inputs) 2025-09-07T09:59:44.9866106Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:44.9866460Z x = self.bert(x, segment_label) 2025-09-07T09:59:44.9866784Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 47, in forward 2025-09-07T09:59:44.9867118Z x = self.embedding(x, segment_info) 2025-09-07T09:59:44.9867558Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/embedding/bert.py", line 32, in forward 2025-09-07T09:59:44.9868032Z x = self.token(sequence) + self.position(sequence) + self.segment(segment_label) 2025-09-07T09:59:44.9868321Z 2025-09-07T09:59:44.9868433Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9868731Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9868937Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9869179Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9869434Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9869742Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:44.9870403Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:44.9870819Z return mod(*inputs) 2025-09-07T09:59:44.9871184Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:44.9871602Z x = self.bert(x, segment_label) 2025-09-07T09:59:44.9871990Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:44.9872389Z x = transformer.forward(x, mask) 2025-09-07T09:59:44.9872849Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:44.9873308Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:44.9873728Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:44.9874241Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:44.9874640Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:44.9875092Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:44.9875491Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:44.9875914Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:44.9876321Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T09:59:44.9876754Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T09:59:44.9876961Z 2025-09-07T09:59:44.9877064Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:44.9877511Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:44.9877829Z return mod(*inputs) 2025-09-07T09:59:44.9878151Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:44.9878552Z x = self.bert(x, segment_label) 2025-09-07T09:59:44.9878872Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:44.9879202Z x = transformer.forward(x, mask) 2025-09-07T09:59:44.9879543Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:44.9879894Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:44.9880258Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:44.9880635Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:44.9881009Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:44.9881385Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:44.9881771Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:44.9882194Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:44.9882590Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T09:59:44.9883024Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T09:59:44.9883216Z 2025-09-07T09:59:44.9883325Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:44.9883660Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:44.9883965Z return mod(*inputs) 2025-09-07T09:59:44.9884288Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:44.9884630Z x = self.bert(x, segment_label) 2025-09-07T09:59:44.9884938Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:44.9885269Z x = transformer.forward(x, mask) 2025-09-07T09:59:44.9885607Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:44.9885961Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:44.9886323Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:44.9886699Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:44.9887065Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:44.9887444Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:44.9887835Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:44.9888292Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:44.9888726Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T09:59:44.9889208Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T09:59:44.9889458Z 2025-09-07T09:59:44.9889552Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9889792Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9890060Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:44.9890398Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:44.9890857Z return mod(*inputs) 2025-09-07T09:59:44.9892071Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:44.9892584Z x = self.bert(x, segment_label) 2025-09-07T09:59:44.9892973Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:44.9893332Z x = transformer.forward(x, mask) 2025-09-07T09:59:44.9893741Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:44.9894161Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:44.9894545Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:44.9894918Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:44.9895283Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:44.9895665Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:44.9896066Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:44.9896480Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:44.9896876Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T09:59:44.9897246Z return torch.matmul(p_attn, value), p_attn 2025-09-07T09:59:44.9897388Z 2025-09-07T09:59:44.9897491Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:44.9897837Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:44.9898144Z return mod(*inputs) 2025-09-07T09:59:44.9898455Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:44.9898800Z x = self.bert(x, segment_label) 2025-09-07T09:59:44.9899121Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:44.9899446Z x = transformer.forward(x, mask) 2025-09-07T09:59:44.9899772Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:44.9900128Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:44.9900486Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:44.9900860Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:44.9901223Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:44.9901584Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:44.9901976Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:44.9902389Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:44.9902788Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T09:59:44.9903154Z return torch.matmul(p_attn, value), p_attn 2025-09-07T09:59:44.9903289Z 2025-09-07T09:59:44.9903395Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:44.9903736Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:44.9904046Z return mod(*inputs) 2025-09-07T09:59:44.9904362Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:44.9904698Z x = self.bert(x, segment_label) 2025-09-07T09:59:44.9905013Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:44.9905336Z x = transformer.forward(x, mask) 2025-09-07T09:59:44.9905708Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:44.9906062Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:44.9906416Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:44.9906830Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:44.9907203Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:44.9907580Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:44.9907968Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T09:59:44.9908398Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T09:59:44.9908590Z 2025-09-07T09:59:44.9908672Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9908883Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9909089Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9909285Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9909487Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9909687Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9909887Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9910081Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9910280Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9910482Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9910712Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:44.9911050Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:44.9911363Z return mod(*inputs) 2025-09-07T09:59:44.9911688Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:44.9912043Z x = self.bert(x, segment_label) 2025-09-07T09:59:44.9912362Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:44.9912686Z x = transformer.forward(x, mask) 2025-09-07T09:59:44.9913028Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:44.9913390Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:44.9913753Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:44.9914129Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:44.9914499Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:44.9914878Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:44.9915273Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:44.9915694Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:44.9916093Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T09:59:44.9916525Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T09:59:44.9916726Z 2025-09-07T09:59:44.9916829Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:44.9917173Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:44.9917487Z return mod(*inputs) 2025-09-07T09:59:44.9917804Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:44.9918152Z x = self.bert(x, segment_label) 2025-09-07T09:59:44.9918471Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:44.9918843Z x = transformer.forward(x, mask) 2025-09-07T09:59:44.9919172Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:44.9919527Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:44.9919916Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:44.9920292Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:44.9920658Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:44.9921020Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:44.9921418Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:44.9921834Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:44.9922238Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T09:59:44.9922662Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T09:59:44.9922853Z 2025-09-07T09:59:44.9922954Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:44.9923294Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:44.9923597Z return mod(*inputs) 2025-09-07T09:59:44.9923915Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:44.9924255Z x = self.bert(x, segment_label) 2025-09-07T09:59:44.9924564Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:44.9924884Z x = transformer.forward(x, mask) 2025-09-07T09:59:44.9925218Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:44.9925573Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:44.9925921Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:44.9926301Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:44.9926671Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:44.9927040Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:44.9927429Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:44.9927830Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:44.9928228Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T09:59:44.9928658Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T09:59:44.9928850Z 2025-09-07T09:59:44.9928936Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9929142Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9929362Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:44.9929705Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:44.9930017Z return mod(*inputs) 2025-09-07T09:59:44.9930338Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:44.9930674Z x = self.bert(x, segment_label) 2025-09-07T09:59:44.9930992Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:44.9931318Z x = transformer.forward(x, mask) 2025-09-07T09:59:44.9931653Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:44.9932044Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:44.9932402Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:44.9932784Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:44.9933177Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:44.9933548Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:44.9933931Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:44.9934346Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:44.9934748Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T09:59:44.9935116Z return torch.matmul(p_attn, value), p_attn 2025-09-07T09:59:44.9935253Z 2025-09-07T09:59:44.9935363Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:44.9935696Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:44.9936006Z return mod(*inputs) 2025-09-07T09:59:44.9936327Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:44.9936670Z x = self.bert(x, segment_label) 2025-09-07T09:59:44.9936978Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:44.9937302Z x = transformer.forward(x, mask) 2025-09-07T09:59:44.9937641Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:44.9938001Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:44.9938362Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:44.9938740Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:44.9939108Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:44.9939482Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:44.9939870Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:44.9940281Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:44.9940670Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T09:59:44.9941032Z return torch.matmul(p_attn, value), p_attn 2025-09-07T09:59:44.9941175Z 2025-09-07T09:59:44.9941278Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:44.9941622Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:44.9941932Z return mod(*inputs) 2025-09-07T09:59:44.9942243Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:44.9942588Z x = self.bert(x, segment_label) 2025-09-07T09:59:44.9942910Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:44.9943234Z x = transformer.forward(x, mask) 2025-09-07T09:59:44.9943559Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:44.9943912Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:44.9944273Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:44.9944648Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:44.9945014Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:44.9945407Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:44.9945798Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T09:59:44.9946246Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T09:59:44.9946427Z 2025-09-07T09:59:44.9946513Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9946711Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9946914Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9947111Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9947309Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9947497Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9947724Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:44.9948064Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:44.9948380Z return mod(*inputs) 2025-09-07T09:59:44.9948735Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:44.9949071Z x = self.bert(x, segment_label) 2025-09-07T09:59:44.9949395Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:44.9949720Z x = transformer.forward(x, mask) 2025-09-07T09:59:44.9950059Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T09:59:44.9950406Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T09:59:44.9950762Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:44.9951139Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:44.9951292Z 2025-09-07T09:59:44.9951381Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9951583Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9951777Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9951976Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9952204Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:44.9952549Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:44.9952850Z return mod(*inputs) 2025-09-07T09:59:44.9953167Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:44.9953511Z x = self.bert(x, segment_label) 2025-09-07T09:59:44.9953832Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:44.9954153Z x = transformer.forward(x, mask) 2025-09-07T09:59:44.9954478Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:44.9954832Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:44.9955193Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:44.9955574Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:44.9955932Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:44.9956304Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:44.9956696Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:44.9957198Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:44.9957600Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T09:59:44.9958017Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T09:59:44.9958291Z 2025-09-07T09:59:44.9958392Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:44.9958733Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:44.9959100Z return mod(*inputs) 2025-09-07T09:59:44.9959427Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:44.9959766Z x = self.bert(x, segment_label) 2025-09-07T09:59:44.9960086Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:44.9960414Z x = transformer.forward(x, mask) 2025-09-07T09:59:44.9960748Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:44.9961091Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:44.9961454Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:44.9961838Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:44.9962204Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:44.9962578Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:44.9962964Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:44.9963375Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:44.9963773Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T09:59:44.9964198Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T09:59:44.9964392Z 2025-09-07T09:59:44.9964502Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:44.9964839Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:44.9965146Z return mod(*inputs) 2025-09-07T09:59:44.9965463Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:44.9965808Z x = self.bert(x, segment_label) 2025-09-07T09:59:44.9966116Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:44.9966439Z x = transformer.forward(x, mask) 2025-09-07T09:59:44.9966778Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:44.9967139Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:44.9967492Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:44.9967859Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:44.9968232Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:44.9968605Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:44.9969000Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:44.9969406Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:44.9969798Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T09:59:44.9970220Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T09:59:44.9970417Z 2025-09-07T09:59:44.9970497Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9970699Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9970923Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:44.9971298Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:44.9971614Z return mod(*inputs) 2025-09-07T09:59:44.9971930Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:44.9972331Z x = self.bert(x, segment_label) 2025-09-07T09:59:44.9972636Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:44.9972958Z x = transformer.forward(x, mask) 2025-09-07T09:59:44.9973295Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:44.9973646Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:44.9973992Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:44.9974365Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:44.9974734Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:44.9975107Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:44.9975496Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:44.9975896Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:44.9976293Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T09:59:44.9976656Z return torch.matmul(p_attn, value), p_attn 2025-09-07T09:59:44.9976794Z 2025-09-07T09:59:44.9976903Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:44.9977242Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:44.9977539Z return mod(*inputs) 2025-09-07T09:59:44.9977864Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:44.9978209Z x = self.bert(x, segment_label) 2025-09-07T09:59:44.9978525Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:44.9978845Z x = transformer.forward(x, mask) 2025-09-07T09:59:44.9979179Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:44.9979531Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:44.9979890Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:44.9980265Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:44.9980626Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:44.9980993Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:44.9981385Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:44.9981793Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:44.9982190Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T09:59:44.9982545Z return torch.matmul(p_attn, value), p_attn 2025-09-07T09:59:44.9982690Z 2025-09-07T09:59:44.9982791Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:44.9983133Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:44.9983440Z return mod(*inputs) 2025-09-07T09:59:44.9983753Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:44.9984094Z x = self.bert(x, segment_label) 2025-09-07T09:59:44.9984443Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:44.9984768Z x = transformer.forward(x, mask) 2025-09-07T09:59:44.9985098Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:44.9985857Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:44.9986237Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:44.9986617Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:44.9986981Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:44.9987352Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:44.9987732Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T09:59:44.9988155Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T09:59:44.9988343Z 2025-09-07T09:59:44.9988420Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9988629Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9988826Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9989028Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9989226Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9989421Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9989610Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9989805Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9989999Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9990195Z cudagraph partition due to non gpu ops 2025-09-07T09:59:44.9990414Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:44.9990759Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:44.9991070Z return mod(*inputs) 2025-09-07T09:59:44.9991399Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:44.9991744Z x = self.bert(x, segment_label) 2025-09-07T09:59:44.9992056Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:44.9992383Z x = transformer.forward(x, mask) 2025-09-07T09:59:44.9992719Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:44.9993070Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:44.9993420Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:44.9993805Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:44.9994169Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:44.9994545Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:44.9994932Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:44.9995333Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:44.9995729Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T09:59:44.9996154Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T09:59:44.9996345Z 2025-09-07T09:59:44.9996454Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:44.9996794Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:44.9997092Z return mod(*inputs) 2025-09-07T09:59:44.9997410Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:44.9997791Z x = self.bert(x, segment_label) 2025-09-07T09:59:44.9998107Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:44.9998425Z x = transformer.forward(x, mask) 2025-09-07T09:59:44.9998795Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:44.9999151Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:44.9999509Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:44.9999892Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0000251Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0000623Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0001013Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0001430Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0001824Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T09:59:45.0002241Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T09:59:45.0002440Z 2025-09-07T09:59:45.0002542Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0002877Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0003182Z return mod(*inputs) 2025-09-07T09:59:45.0003499Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0003837Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0004154Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0004481Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0004811Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0005154Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0005512Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0005890Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0006259Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0006629Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0007013Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0007426Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0007828Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T09:59:45.0008250Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T09:59:45.0008441Z 2025-09-07T09:59:45.0008531Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0008729Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0008960Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0009303Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0009612Z return mod(*inputs) 2025-09-07T09:59:45.0009922Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0010270Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0010586Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0010986Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0011320Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0011666Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0012064Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0012441Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0012807Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0013175Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0013565Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0013974Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0014376Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T09:59:45.0014742Z return torch.matmul(p_attn, value), p_attn 2025-09-07T09:59:45.0014878Z 2025-09-07T09:59:45.0014979Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0015320Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0015628Z return mod(*inputs) 2025-09-07T09:59:45.0015946Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0016289Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0016596Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0016917Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0017248Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0017604Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0017952Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0018327Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0018694Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0019062Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0019448Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0019847Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0020240Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T09:59:45.0020602Z return torch.matmul(p_attn, value), p_attn 2025-09-07T09:59:45.0020739Z 2025-09-07T09:59:45.0020844Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0021179Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0021478Z return mod(*inputs) 2025-09-07T09:59:45.0021798Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0022142Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0022455Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0022772Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0023110Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0023460Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0023818Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0024228Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0024584Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0024983Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0025376Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T09:59:45.0025787Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T09:59:45.0025965Z 2025-09-07T09:59:45.0026052Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0026252Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0026452Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0026646Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0026841Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0027031Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0027254Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0027596Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0027902Z return mod(*inputs) 2025-09-07T09:59:45.0028215Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0028562Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0028878Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0029202Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0029526Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T09:59:45.0029883Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T09:59:45.0030238Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0030620Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0030772Z 2025-09-07T09:59:45.0030857Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0031050Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0031248Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0031440Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0031661Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0031988Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0032290Z return mod(*inputs) 2025-09-07T09:59:45.0032608Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0032949Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0033264Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0033582Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0033911Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0034262Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0034614Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0034980Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0035345Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0035715Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0036103Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0036509Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0036938Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T09:59:45.0037368Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T09:59:45.0037567Z 2025-09-07T09:59:45.0037697Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0038043Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0038355Z return mod(*inputs) 2025-09-07T09:59:45.0038667Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0039012Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0039328Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0039652Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0039980Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0040341Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0040698Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0041081Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0041448Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0041809Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0042207Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0042621Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0043025Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T09:59:45.0043444Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T09:59:45.0043637Z 2025-09-07T09:59:45.0043738Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0044083Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0044395Z return mod(*inputs) 2025-09-07T09:59:45.0044719Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0045065Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0045376Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0045703Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0046039Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0046391Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0046747Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0047129Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0047496Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0047868Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0048259Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0048664Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0049063Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T09:59:45.0049490Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T09:59:45.0049683Z 2025-09-07T09:59:45.0049798Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0050005Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0050226Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0050569Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0050905Z return mod(*inputs) 2025-09-07T09:59:45.0051230Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0051569Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0051887Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0052210Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0052545Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0052903Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0053257Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0053634Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0054006Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0054382Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0054767Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0055182Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0055579Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T09:59:45.0055945Z return torch.matmul(p_attn, value), p_attn 2025-09-07T09:59:45.0056080Z 2025-09-07T09:59:45.0056190Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0056525Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0056901Z return mod(*inputs) 2025-09-07T09:59:45.0057229Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0057575Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0057884Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0058211Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0058549Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0058908Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0059272Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0059647Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0060018Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0060387Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0060779Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0061189Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0061575Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T09:59:45.0061940Z return torch.matmul(p_attn, value), p_attn 2025-09-07T09:59:45.0062081Z 2025-09-07T09:59:45.0062181Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0062520Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0062825Z return mod(*inputs) 2025-09-07T09:59:45.0063203Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0063557Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0063880Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0064251Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0064587Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0064949Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0065315Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0065697Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0066072Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0066442Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0066845Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T09:59:45.0067275Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T09:59:45.0067459Z 2025-09-07T09:59:45.0067550Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0067759Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0067970Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0068177Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0068384Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0068588Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0068786Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0068995Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0069202Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0069408Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0069639Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0069993Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0070308Z return mod(*inputs) 2025-09-07T09:59:45.0070644Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0070991Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0071316Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0071653Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0072004Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0072365Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0072725Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0073115Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0073490Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0073871Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0074266Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0074688Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0075094Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T09:59:45.0075531Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T09:59:45.0075727Z 2025-09-07T09:59:45.0075840Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0076181Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0076528Z return mod(*inputs) 2025-09-07T09:59:45.0076848Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0077194Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0077541Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0077860Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0078196Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0078552Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0078914Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0079285Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0079651Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0080019Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0080406Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0080817Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0081202Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T09:59:45.0081621Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T09:59:45.0081820Z 2025-09-07T09:59:45.0081921Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0082266Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0082578Z return mod(*inputs) 2025-09-07T09:59:45.0082892Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0083240Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0083557Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0083883Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0084212Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0084571Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0084934Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0085316Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0085688Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0086056Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0086457Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0086873Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0087276Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T09:59:45.0087702Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T09:59:45.0087895Z 2025-09-07T09:59:45.0087974Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0088184Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0088411Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0088756Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0089059Z return mod(*inputs) 2025-09-07T09:59:45.0089381Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0089761Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0090080Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0090407Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0090763Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0091121Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0091486Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0091874Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0092241Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0092627Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0093028Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0093452Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0093854Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T09:59:45.0094229Z return torch.matmul(p_attn, value), p_attn 2025-09-07T09:59:45.0094375Z 2025-09-07T09:59:45.0094480Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0094829Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0095141Z return mod(*inputs) 2025-09-07T09:59:45.0095468Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0095806Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0096127Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0096455Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0096791Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0097140Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0097507Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0097898Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0098271Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0098649Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0099038Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0099458Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0099864Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T09:59:45.0100237Z return torch.matmul(p_attn, value), p_attn 2025-09-07T09:59:45.0100378Z 2025-09-07T09:59:45.0100491Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0100838Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0101153Z return mod(*inputs) 2025-09-07T09:59:45.0101484Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0101836Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0102152Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0102482Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0102824Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0103213Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0103573Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0103942Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0104337Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0104709Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0105097Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T09:59:45.0105514Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T09:59:45.0105695Z 2025-09-07T09:59:45.0105901Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0106111Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0106320Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0106518Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0106710Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0106910Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0107137Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0107485Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0107791Z return mod(*inputs) 2025-09-07T09:59:45.0108116Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0108461Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0108778Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0109102Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0109428Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T09:59:45.0109784Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T09:59:45.0110142Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0110518Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0110673Z 2025-09-07T09:59:45.0110756Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0110949Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0111146Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0111341Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0111565Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0111898Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0112200Z return mod(*inputs) 2025-09-07T09:59:45.0112517Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0112865Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0113170Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0113496Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0113830Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0114184Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0114541Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0114913Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0115281Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0115657Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0116048Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0116500Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0116898Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T09:59:45.0117361Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T09:59:45.0117562Z 2025-09-07T09:59:45.0117662Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0118002Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0118304Z return mod(*inputs) 2025-09-07T09:59:45.0118623Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0118969Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0119284Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0119606Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0119932Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0120289Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0120658Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0121034Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0121395Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0121768Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0122155Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0122563Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0122967Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T09:59:45.0123384Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T09:59:45.0123582Z 2025-09-07T09:59:45.0123687Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0124031Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0124335Z return mod(*inputs) 2025-09-07T09:59:45.0124655Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0124989Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0125305Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0125627Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0125961Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0126309Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0126663Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0127037Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0127404Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0127774Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0128155Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0128561Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0128955Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T09:59:45.0129413Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T09:59:45.0129607Z 2025-09-07T09:59:45.0129693Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0129895Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0130154Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0130498Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0130805Z return mod(*inputs) 2025-09-07T09:59:45.0131118Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0131461Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0131780Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0132109Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0132442Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0132790Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0133153Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0133530Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0133895Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0134266Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0134648Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0135067Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0135464Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T09:59:45.0135832Z return torch.matmul(p_attn, value), p_attn 2025-09-07T09:59:45.0135966Z 2025-09-07T09:59:45.0136068Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0136412Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0136726Z return mod(*inputs) 2025-09-07T09:59:45.0137048Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0137391Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0137697Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0138025Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0138357Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0138708Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0139059Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0139433Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0139793Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0140165Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0140553Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0140954Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0141345Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T09:59:45.0141711Z return torch.matmul(p_attn, value), p_attn 2025-09-07T09:59:45.0141845Z 2025-09-07T09:59:45.0141955Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0142329Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0142631Z return mod(*inputs) 2025-09-07T09:59:45.0154955Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0155524Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0155881Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0156228Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0156585Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0157040Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0157409Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0157801Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0158194Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0158579Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0158984Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T09:59:45.0159410Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T09:59:45.0159606Z 2025-09-07T09:59:45.0159692Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0159902Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0160106Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0160298Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0160500Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0160699Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0160895Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0161093Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0161288Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0161479Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0161709Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0162059Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0162378Z return mod(*inputs) 2025-09-07T09:59:45.0162706Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0163057Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0163384Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0163709Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0164047Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0164408Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0164776Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0165152Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0165530Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0165906Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0166307Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0166727Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0167127Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T09:59:45.0167557Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T09:59:45.0167837Z 2025-09-07T09:59:45.0167940Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0168297Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0168613Z return mod(*inputs) 2025-09-07T09:59:45.0168973Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0169325Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0169655Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0169991Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0170322Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0170684Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0171053Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0171438Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0171811Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0172182Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0172581Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0172995Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0173400Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T09:59:45.0173831Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T09:59:45.0174027Z 2025-09-07T09:59:45.0174131Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0174476Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0174793Z return mod(*inputs) 2025-09-07T09:59:45.0175114Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0175465Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0175779Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0176109Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0176452Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0176812Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0177165Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0177547Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0177916Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0178296Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0178690Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0179101Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0179502Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T09:59:45.0179930Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T09:59:45.0180123Z 2025-09-07T09:59:45.0180212Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0180422Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0180652Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0180995Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0181348Z return mod(*inputs) 2025-09-07T09:59:45.0181675Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0182015Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0182365Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0182698Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0183047Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0183409Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0183767Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0184157Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0184527Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0184913Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0185301Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0185719Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0186123Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T09:59:45.0186494Z return torch.matmul(p_attn, value), p_attn 2025-09-07T09:59:45.0186632Z 2025-09-07T09:59:45.0186742Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0187075Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0187385Z return mod(*inputs) 2025-09-07T09:59:45.0187709Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0188065Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0188387Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0188705Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0189045Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0189403Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0189765Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0190138Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0190514Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0190892Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0191287Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0191706Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0192096Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T09:59:45.0192466Z return torch.matmul(p_attn, value), p_attn 2025-09-07T09:59:45.0192610Z 2025-09-07T09:59:45.0192711Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0193057Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0193369Z return mod(*inputs) 2025-09-07T09:59:45.0193684Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0194032Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0194349Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0194717Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0195048Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0195404Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0196077Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0196468Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0196840Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0197210Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0197608Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T09:59:45.0198029Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T09:59:45.0198214Z 2025-09-07T09:59:45.0198304Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0198513Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0198709Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0198908Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0199110Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0199308Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0199528Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0199868Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0200181Z return mod(*inputs) 2025-09-07T09:59:45.0200503Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0200844Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0201163Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0201489Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0201825Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T09:59:45.0202174Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T09:59:45.0202530Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0202907Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0203069Z 2025-09-07T09:59:45.0203145Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0203349Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0203543Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0203743Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0203970Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0204316Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0204621Z return mod(*inputs) 2025-09-07T09:59:45.0204943Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0205292Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0205615Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0205940Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0206268Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0206622Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0206984Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0207363Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0207724Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0208140Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0208530Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0208996Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0209394Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T09:59:45.0209810Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T09:59:45.0210009Z 2025-09-07T09:59:45.0210111Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0210446Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0210752Z return mod(*inputs) 2025-09-07T09:59:45.0211070Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0211421Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0211731Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0212061Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0212399Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0212756Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0213121Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0213491Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0213864Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0214238Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0214635Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0215042Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0215445Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T09:59:45.0215868Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T09:59:45.0216062Z 2025-09-07T09:59:45.0216171Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0216513Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0216812Z return mod(*inputs) 2025-09-07T09:59:45.0217130Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0217474Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0217794Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0218117Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0218444Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0218801Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0219164Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0219546Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0219904Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0220278Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0220666Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0221108Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0221509Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T09:59:45.0221925Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T09:59:45.0222153Z 2025-09-07T09:59:45.0222233Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0222441Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0222671Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0223010Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0223316Z return mod(*inputs) 2025-09-07T09:59:45.0223637Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0223984Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0224302Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0224621Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0224955Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0225309Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0225666Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0226040Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0226247Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0226351Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0226589Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0226708Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0226935Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T09:59:45.0227022Z return torch.matmul(p_attn, value), p_attn 2025-09-07T09:59:45.0227025Z 2025-09-07T09:59:45.0227129Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0227326Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0227389Z return mod(*inputs) 2025-09-07T09:59:45.0227611Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0227681Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0227882Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0227952Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0228160Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0228254Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0228466Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0228580Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0228786Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0228890Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0229126Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0229245Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0229472Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T09:59:45.0229585Z return torch.matmul(p_attn, value), p_attn 2025-09-07T09:59:45.0229588Z 2025-09-07T09:59:45.0229696Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0229884Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0229971Z return mod(*inputs) 2025-09-07T09:59:45.0230198Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0230268Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0230471Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0230544Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0230752Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0230843Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0231059Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0231166Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0231374Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0231478Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0231718Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T09:59:45.0231845Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T09:59:45.0231849Z 2025-09-07T09:59:45.0231934Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0232010Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0232092Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0232162Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0232238Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0232317Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0232389Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0232460Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0232541Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0232614Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0232723Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0232907Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0232970Z return mod(*inputs) 2025-09-07T09:59:45.0233191Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0233261Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0233462Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0233532Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0233744Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0233838Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0234055Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0234163Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0234373Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0234479Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0234708Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0234829Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0235058Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T09:59:45.0235232Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T09:59:45.0235235Z 2025-09-07T09:59:45.0235345Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0235560Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0235632Z return mod(*inputs) 2025-09-07T09:59:45.0235846Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0235916Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0236121Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0236193Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0236409Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0236501Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0236717Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0236828Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0237038Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0237151Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0237381Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0237500Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0237729Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T09:59:45.0237871Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T09:59:45.0237877Z 2025-09-07T09:59:45.0237985Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0238171Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0238246Z return mod(*inputs) 2025-09-07T09:59:45.0238466Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0238537Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0238741Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0238815Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0239030Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0239116Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0239328Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0239442Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0239651Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0239763Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0239996Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0240114Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0240342Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T09:59:45.0240481Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T09:59:45.0240484Z 2025-09-07T09:59:45.0240569Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0240647Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0240802Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0240992Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0241056Z return mod(*inputs) 2025-09-07T09:59:45.0241306Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0241377Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0241581Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0241652Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0241863Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0241957Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0242175Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0242286Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0242494Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0242596Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0242838Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0242959Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0243187Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T09:59:45.0243272Z return torch.matmul(p_attn, value), p_attn 2025-09-07T09:59:45.0243276Z 2025-09-07T09:59:45.0243384Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0243570Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0243637Z return mod(*inputs) 2025-09-07T09:59:45.0243861Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0243930Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0244132Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0244203Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0244411Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0244502Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0244718Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0244825Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0245032Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0245146Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0245377Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0245498Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0245726Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T09:59:45.0245810Z return torch.matmul(p_attn, value), p_attn 2025-09-07T09:59:45.0245813Z 2025-09-07T09:59:45.0245917Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0246100Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0246164Z return mod(*inputs) 2025-09-07T09:59:45.0246387Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0246487Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0246695Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0246764Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0247000Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0247093Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0247308Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0247415Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0247624Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0247734Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0247967Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T09:59:45.0248095Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T09:59:45.0248098Z 2025-09-07T09:59:45.0248183Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0248262Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0248344Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0248417Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0248488Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0248568Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0248667Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0248859Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0248922Z return mod(*inputs) 2025-09-07T09:59:45.0249138Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0249217Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0249411Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0249488Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0249699Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward 2025-09-07T09:59:45.0249784Z x = self.output_sublayer(x, self.feed_forward) 2025-09-07T09:59:45.0250008Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0250108Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0250111Z 2025-09-07T09:59:45.0250193Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0250266Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0250346Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0250418Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0250521Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0250713Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0250775Z return mod(*inputs) 2025-09-07T09:59:45.0251001Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0251069Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0251264Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0251341Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0251549Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0251640Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0251856Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0251989Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0252206Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0252309Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0252578Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0252699Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0252916Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T09:59:45.0253066Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T09:59:45.0253069Z 2025-09-07T09:59:45.0253166Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0253359Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0253424Z return mod(*inputs) 2025-09-07T09:59:45.0253646Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0253715Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0253912Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0253993Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0254202Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0254291Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0254505Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0254604Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0254818Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0254924Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0255164Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0255285Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0255515Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T09:59:45.0255654Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T09:59:45.0255657Z 2025-09-07T09:59:45.0255755Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0255950Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0256014Z return mod(*inputs) 2025-09-07T09:59:45.0256234Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0256307Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0256500Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0256581Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0256841Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0256951Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0257164Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0257265Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0257480Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0257580Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0258040Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0258159Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0258444Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T09:59:45.0258584Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T09:59:45.0258587Z 2025-09-07T09:59:45.0258663Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0258749Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0258846Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0259035Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0259097Z return mod(*inputs) 2025-09-07T09:59:45.0259308Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0259388Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0259578Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0259655Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0259863Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0259947Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0260166Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0260267Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0260483Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0260585Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0260829Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0260950Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0261171Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T09:59:45.0261265Z return torch.matmul(p_attn, value), p_attn 2025-09-07T09:59:45.0261268Z 2025-09-07T09:59:45.0261365Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0261555Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0261623Z return mod(*inputs) 2025-09-07T09:59:45.0261848Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0261917Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0262126Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0262197Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0262405Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0262503Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0262716Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0262825Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0263031Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0263141Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0263369Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0263487Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0263746Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T09:59:45.0263829Z return torch.matmul(p_attn, value), p_attn 2025-09-07T09:59:45.0263833Z 2025-09-07T09:59:45.0263967Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0264155Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0264217Z return mod(*inputs) 2025-09-07T09:59:45.0264440Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0264508Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0264708Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0264777Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0264985Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0265083Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0265316Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0265425Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0265640Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0265754Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0265995Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T09:59:45.0266124Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T09:59:45.0266127Z 2025-09-07T09:59:45.0266213Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0266289Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0266379Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0266454Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0266536Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0266609Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0266683Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0266766Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0266840Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0266917Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0267018Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0267212Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0267284Z return mod(*inputs) 2025-09-07T09:59:45.0267504Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0267578Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0267786Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0267858Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0268087Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0268174Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0268403Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0268507Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0268734Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0268839Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0269078Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0269244Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0269477Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T09:59:45.0269655Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T09:59:45.0269658Z 2025-09-07T09:59:45.0269758Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0269940Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0270008Z return mod(*inputs) 2025-09-07T09:59:45.0270222Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0270296Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0270486Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0270559Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0270775Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0270859Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0271082Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0271182Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0271396Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0271496Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0271721Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0271845Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0272061Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T09:59:45.0272209Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T09:59:45.0272212Z 2025-09-07T09:59:45.0272313Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0272505Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0272567Z return mod(*inputs) 2025-09-07T09:59:45.0272781Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0272853Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0273044Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0273119Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0273327Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0273413Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0273632Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0273729Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0273944Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0274045Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0274278Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0274403Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0274620Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward 2025-09-07T09:59:45.0274765Z scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1)) 2025-09-07T09:59:45.0274795Z 2025-09-07T09:59:45.0274872Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0274954Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0275052Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0275261Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0275333Z return mod(*inputs) 2025-09-07T09:59:45.0275548Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0275623Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0275820Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0275891Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0276108Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0276199Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0276423Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0276524Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0276737Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0276847Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0277078Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0277206Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0277430Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T09:59:45.0277520Z return torch.matmul(p_attn, value), p_attn 2025-09-07T09:59:45.0277526Z 2025-09-07T09:59:45.0277625Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0277811Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0277884Z return mod(*inputs) 2025-09-07T09:59:45.0278102Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0278177Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0278372Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0278443Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0278660Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0278747Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0278968Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0279070Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0279277Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0279391Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0279626Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward 2025-09-07T09:59:45.0279753Z x, attn = self.attention(query, key, value, self.dropout, mask=mask) 2025-09-07T09:59:45.0279976Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward 2025-09-07T09:59:45.0280068Z return torch.matmul(p_attn, value), p_attn 2025-09-07T09:59:45.0280071Z 2025-09-07T09:59:45.0280169Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0280351Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0280452Z return mod(*inputs) 2025-09-07T09:59:45.0280663Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward 2025-09-07T09:59:45.0280739Z x = self.bert(x, segment_label) 2025-09-07T09:59:45.0280968Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward 2025-09-07T09:59:45.0281039Z x = transformer.forward(x, mask) 2025-09-07T09:59:45.0281251Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward 2025-09-07T09:59:45.0281338Z x = self.input_sublayer(x, self.lambda_module) 2025-09-07T09:59:45.0281561Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward 2025-09-07T09:59:45.0281660Z return x + self.dropout(sublayer.forward(self.norm(x))) 2025-09-07T09:59:45.0281863Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward 2025-09-07T09:59:45.0281977Z return self.attention.forward(x, x, x, mask=self.mask) 2025-09-07T09:59:45.0282209Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward 2025-09-07T09:59:45.0282346Z x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k) 2025-09-07T09:59:45.0282349Z 2025-09-07T09:59:45.0282425Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0282508Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0282583Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0282653Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0282730Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0282803Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0282909Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0283094Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0283159Z return mod(*inputs) 2025-09-07T09:59:45.0283382Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 25, in forward 2025-09-07T09:59:45.0283469Z return self.next_sentence(x), self.mask_lm(x) 2025-09-07T09:59:45.0283693Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 42, in forward 2025-09-07T09:59:45.0283776Z return self.softmax(self.linear(x[:, 0])) 2025-09-07T09:59:45.0283779Z 2025-09-07T09:59:45.0283876Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0284067Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0284128Z return mod(*inputs) 2025-09-07T09:59:45.0284348Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 25, in forward 2025-09-07T09:59:45.0284435Z return self.next_sentence(x), self.mask_lm(x) 2025-09-07T09:59:45.0284651Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 42, in forward 2025-09-07T09:59:45.0284740Z return self.softmax(self.linear(x[:, 0])) 2025-09-07T09:59:45.0284743Z 2025-09-07T09:59:45.0284839Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:59:45.0285029Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T09:59:45.0285090Z return mod(*inputs) 2025-09-07T09:59:45.0285309Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 25, in forward 2025-09-07T09:59:45.0285393Z return self.next_sentence(x), self.mask_lm(x) 2025-09-07T09:59:45.0285607Z File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 42, in forward 2025-09-07T09:59:45.0285690Z return self.softmax(self.linear(x[:, 0])) 2025-09-07T09:59:45.0285693Z 2025-09-07T09:59:45.0285800Z cudagraph partition due to non gpu ops 2025-09-07T09:59:45.0285882Z cudagraph partition due to non gpu ops 2025-09-07T10:00:05.2985436Z 2025-09-07T10:00:05.4355531Z running benchmark: 0% 0/30 [00:00> $GITHUB_ENV 2025-09-07T11:06:33.1263180Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-09-07T11:06:33.1270869Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:06:33.1271105Z env: 2025-09-07T11:06:33.1271266Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:06:33.1271563Z DOCKER_CONTAINER_ID: b839bb2a8aa9b60378393da276a0cdef08cf06ae6d882de4bbd4f5d77d016cde 2025-09-07T11:06:33.1271854Z ##[endgroup] 2025-09-07T11:06:33.1296398Z + [[ -n '' ]] 2025-09-07T11:06:33.1296646Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-09-07T11:06:33.2949206Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T11:06:33.9902239Z Collecting boto3==1.35.33 2025-09-07T11:06:34.0197354Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-09-07T11:06:34.2318725Z Collecting psutil==7.0.0 2025-09-07T11:06:34.2400275Z Downloading psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (277 kB) 2025-09-07T11:06:34.2788257Z Collecting pynvml==12.0.0 2025-09-07T11:06:34.2881036Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-09-07T11:06:35.0171192Z Collecting botocore<1.36.0,>=1.35.33 2025-09-07T11:06:35.0252019Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-09-07T11:06:35.1247019Z 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) 2025-09-07T11:06:35.1496664Z Collecting s3transfer<0.11.0,>=0.10.0 2025-09-07T11:06:35.1576162Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-09-07T11:06:35.1891066Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-09-07T11:06:35.1970805Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-09-07T11:06:35.2038035Z 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) 2025-09-07T11:06:35.2046319Z 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) 2025-09-07T11:06:35.2971772Z 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) 2025-09-07T11:06:35.3864568Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-09-07T11:06:35.6980964Z Attempting uninstall: nvidia-ml-py 2025-09-07T11:06:35.6981405Z Found existing installation: nvidia-ml-py 11.525.84 2025-09-07T11:06:35.6988560Z Uninstalling nvidia-ml-py-11.525.84: 2025-09-07T11:06:35.7100949Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-09-07T11:06:35.7520742Z Attempting uninstall: psutil 2025-09-07T11:06:35.7520999Z Found existing installation: psutil 5.9.8 2025-09-07T11:06:35.7562225Z Uninstalling psutil-5.9.8: 2025-09-07T11:06:35.7565870Z Successfully uninstalled psutil-5.9.8 2025-09-07T11:06:35.8747623Z 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 2025-09-07T11:06:35.9653079Z + DEVICE_NAME= 2025-09-07T11:06:35.9653351Z + DEVICE_TYPE= 2025-09-07T11:06:35.9653523Z + command -v nvidia-smi 2025-09-07T11:06:35.9653851Z + command -v rocminfo 2025-09-07T11:06:35.9654042Z + echo DEVICE_NAME= 2025-09-07T11:06:35.9654207Z + echo DEVICE_TYPE= 2025-09-07T11:06:35.9671473Z ##[group]Run set -eux 2025-09-07T11:06:35.9671665Z set -eux 2025-09-07T11:06:35.9671833Z  2025-09-07T11:06:35.9671995Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-09-07T11:06:35.9672217Z  echo "Missing github-token input" 2025-09-07T11:06:35.9672419Z  exit 1 2025-09-07T11:06:35.9672569Z fi 2025-09-07T11:06:35.9677622Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:06:35.9677928Z env: 2025-09-07T11:06:35.9678089Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:06:35.9678385Z DOCKER_CONTAINER_ID: b839bb2a8aa9b60378393da276a0cdef08cf06ae6d882de4bbd4f5d77d016cde 2025-09-07T11:06:35.9678691Z DEVICE_NAME: 2025-09-07T11:06:35.9678859Z DEVICE_TYPE: 2025-09-07T11:06:35.9679211Z GITHUB_TOKEN: *** 2025-09-07T11:06:35.9679368Z ##[endgroup] 2025-09-07T11:06:35.9699118Z + [[ -z *** ]] 2025-09-07T11:06:35.9724114Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-09-07T11:06:35.9724374Z with: 2025-09-07T11:06:35.9724621Z github-token: *** 2025-09-07T11:06:35.9724770Z env: 2025-09-07T11:06:35.9724927Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:06:35.9725213Z DOCKER_CONTAINER_ID: b839bb2a8aa9b60378393da276a0cdef08cf06ae6d882de4bbd4f5d77d016cde 2025-09-07T11:06:35.9725570Z DEVICE_NAME: 2025-09-07T11:06:35.9725725Z DEVICE_TYPE: 2025-09-07T11:06:35.9725878Z ##[endgroup] 2025-09-07T11:06:35.9734321Z ##[group]Run set -eux 2025-09-07T11:06:35.9734499Z set -eux 2025-09-07T11:06:35.9734647Z  2025-09-07T11:06:35.9734933Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T11:06:35.9738875Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:06:35.9739103Z env: 2025-09-07T11:06:35.9739255Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:06:35.9739541Z DOCKER_CONTAINER_ID: b839bb2a8aa9b60378393da276a0cdef08cf06ae6d882de4bbd4f5d77d016cde 2025-09-07T11:06:35.9739826Z DEVICE_NAME: 2025-09-07T11:06:35.9739980Z DEVICE_TYPE: 2025-09-07T11:06:35.9740240Z GITHUB_TOKEN: *** 2025-09-07T11:06:35.9740496Z ##[endgroup] 2025-09-07T11:06:35.9758459Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 17525285611 i-0ae25a36c56feb34d 2025-09-07T11:06:36.5277223Z setting job-id=49775585802 2025-09-07T11:06:36.5277658Z setting job-name=inductor-test-nightly-freezing / test (inductor_torchbench_perf_cpu_x86, 1, 4, linux.24xl.spr-metal) 2025-09-07T11:06:36.5347271Z ##[group]Run set -eux 2025-09-07T11:06:36.5347455Z set -eux 2025-09-07T11:06:36.5347609Z  2025-09-07T11:06:36.5347758Z if [[ -n "" ]]; then 2025-09-07T11:06:36.5347934Z  source "" 2025-09-07T11:06:36.5348080Z fi 2025-09-07T11:06:36.5348219Z  2025-09-07T11:06:36.5348459Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-09-07T11:06:36.5348768Z  --schema-version "${SCHEMA_VERSION}" \ 2025-09-07T11:06:36.5348978Z  --repo "${REPO}" \ 2025-09-07T11:06:36.5349178Z  --head-branch "${HEAD_BRANCH}" \ 2025-09-07T11:06:36.5349384Z  --head-sha "${HEAD_SHA}" \ 2025-09-07T11:06:36.5349600Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-09-07T11:06:36.5349811Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-09-07T11:06:36.5350014Z  --job-id "${JOB_ID}" \ 2025-09-07T11:06:36.5350212Z  --job-name "${JOB_NAME}" 2025-09-07T11:06:36.5353672Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:06:36.5353901Z env: 2025-09-07T11:06:36.5354046Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:06:36.5354334Z DOCKER_CONTAINER_ID: b839bb2a8aa9b60378393da276a0cdef08cf06ae6d882de4bbd4f5d77d016cde 2025-09-07T11:06:36.5354636Z DEVICE_NAME: 2025-09-07T11:06:36.5354792Z DEVICE_TYPE: 2025-09-07T11:06:36.5354938Z SCHEMA_VERSION: v3 2025-09-07T11:06:36.5355106Z REPO: pytorch/pytorch 2025-09-07T11:06:36.5355285Z HEAD_BRANCH: refs/heads/main 2025-09-07T11:06:36.5355501Z HEAD_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T11:06:36.5355708Z WORKFLOW_RUN_ID: 17525285611 2025-09-07T11:06:36.5355879Z RUN_ATTEMPT: 1 2025-09-07T11:06:36.5356037Z JOB_ID: 49775585802 2025-09-07T11:06:36.5356371Z JOB_NAME: inductor-test-nightly-freezing / test (inductor_torchbench_perf_cpu_x86, 1, 4, linux.24xl.spr-metal) 2025-09-07T11:06:36.5356766Z ##[endgroup] 2025-09-07T11:06:36.5374619Z + [[ -n '' ]] 2025-09-07T11:06:36.5375935Z + 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 17525285611 --run-attempt 1 --job-id 49775585802 --job-name 'inductor-test-nightly-freezing / test (inductor_torchbench_perf_cpu_x86, 1, 4, linux.24xl.spr-metal)' 2025-09-07T11:06:36.5601567Z ##[group]Run set -eux 2025-09-07T11:06:36.5601751Z set -eux 2025-09-07T11:06:36.5601905Z  2025-09-07T11:06:36.5602059Z if [[ -n "" ]]; then 2025-09-07T11:06:36.5602240Z  source "" 2025-09-07T11:06:36.5602443Z fi 2025-09-07T11:06:36.5602577Z  2025-09-07T11:06:36.5602820Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-09-07T11:06:36.5606326Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:06:36.5606554Z env: 2025-09-07T11:06:36.5606696Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:06:36.5606988Z DOCKER_CONTAINER_ID: b839bb2a8aa9b60378393da276a0cdef08cf06ae6d882de4bbd4f5d77d016cde 2025-09-07T11:06:36.5607288Z DEVICE_NAME: 2025-09-07T11:06:36.5607444Z DEVICE_TYPE: 2025-09-07T11:06:36.5607590Z ##[endgroup] 2025-09-07T11:06:36.5624019Z + [[ -n '' ]] 2025-09-07T11:06:36.5624487Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-09-07T11:06:36.5904667Z INFO:root:Fail to import torch to get the device name 2025-09-07T11:06:36.5978438Z ##[group]Run set -eux 2025-09-07T11:06:36.5978627Z set -eux 2025-09-07T11:06:36.5978777Z  2025-09-07T11:06:36.5978941Z # TODO (huydhn): Implement this part 2025-09-07T11:06:36.5979182Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-09-07T11:06:36.5982531Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:06:36.5982761Z env: 2025-09-07T11:06:36.5982905Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:06:36.5983198Z DOCKER_CONTAINER_ID: b839bb2a8aa9b60378393da276a0cdef08cf06ae6d882de4bbd4f5d77d016cde 2025-09-07T11:06:36.5983500Z DEVICE_NAME: 2025-09-07T11:06:36.5983653Z DEVICE_TYPE: 2025-09-07T11:06:36.5983806Z ##[endgroup] 2025-09-07T11:06:36.5999276Z + echo 'dependencies={}' 2025-09-07T11:06:36.6011493Z ##[group]Run set -eux 2025-09-07T11:06:36.6011685Z set -eux 2025-09-07T11:06:36.6011836Z  2025-09-07T11:06:36.6011993Z if [[ -n "" ]]; then 2025-09-07T11:06:36.6012173Z  source "" 2025-09-07T11:06:36.6012327Z fi 2025-09-07T11:06:36.6012479Z  2025-09-07T11:06:36.6012649Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-09-07T11:06:36.6012920Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-09-07T11:06:36.6013217Z  # We don't want the job to fail if the directory doesn't exist 2025-09-07T11:06:36.6013449Z  exit 0 2025-09-07T11:06:36.6013592Z fi 2025-09-07T11:06:36.6013734Z  2025-09-07T11:06:36.6013893Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-09-07T11:06:36.6014181Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T11:06:36.6014507Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T11:06:36.6014754Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T11:06:36.6014976Z  --runners "${RUNNER_INFO}" \ 2025-09-07T11:06:36.6015183Z  --dependencies "${DEPENDENCIES}" \ 2025-09-07T11:06:36.6015404Z  --dry-run 2025-09-07T11:06:36.6015568Z else 2025-09-07T11:06:36.6015800Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T11:06:36.6016162Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T11:06:36.6016416Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T11:06:36.6016629Z  --runners "${RUNNER_INFO}" \ 2025-09-07T11:06:36.6016839Z  --dependencies "${DEPENDENCIES}" 2025-09-07T11:06:36.6017029Z fi 2025-09-07T11:06:36.6020955Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:06:36.6021182Z env: 2025-09-07T11:06:36.6021336Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:06:36.6021621Z DOCKER_CONTAINER_ID: b839bb2a8aa9b60378393da276a0cdef08cf06ae6d882de4bbd4f5d77d016cde 2025-09-07T11:06:36.6021912Z DEVICE_NAME: 2025-09-07T11:06:36.6022068Z DEVICE_TYPE: 2025-09-07T11:06:36.6022239Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-09-07T11:06:36.6022477Z DRY_RUN: false 2025-09-07T11:06:36.6023280Z BENCHMARK_METADATA: {"timestamp": 1757243196, "schema_version": "v3", "name": "inductor-test-nightly-freezing / test (inductor_torchbench_perf_cpu_x86, 1, 4, linux.24xl.spr-metal)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525285611, "run_attempt": 1, "job_id": 49775585802} 2025-09-07T11:06:36.6024263Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 96, "avail_mem_in_gb": 188, "extra_info": {"hostname": "ip-10-0-46-10.ec2.internal"}, "name": "", "type": ""}] 2025-09-07T11:06:36.6024611Z DEPENDENCIES: {} 2025-09-07T11:06:36.6024766Z ##[endgroup] 2025-09-07T11:06:36.6056562Z + [[ -n '' ]] 2025-09-07T11:06:36.6056736Z + [[ ! -d test/test-reports ]] 2025-09-07T11:06:36.6056976Z + [[ false == \t\r\u\e ]] 2025-09-07T11:06:36.6058679Z + 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": 1757243196, "schema_version": "v3", "name": "inductor-test-nightly-freezing / test (inductor_torchbench_perf_cpu_x86, 1, 4, linux.24xl.spr-metal)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525285611, "run_attempt": 1, "job_id": 49775585802}' --runners '[{"cpu_info": "x86_64", "cpu_count": 96, "avail_mem_in_gb": 188, "extra_info": {"hostname": "ip-10-0-46-10.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}' 2025-09-07T11:06:36.7012618Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_torchbench_amp_inference_cpu_x86_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585802/inductor_no_cudagraphs_torchbench_amp_inference_cpu_x86_accuracy.json 2025-09-07T11:06:36.7205792Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-09-07T11:06:36.8565797Z INFO:root:Upload test/test-reports/inductor_dynamic_torchbench_amp_inference_cpu_x86_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585802/inductor_dynamic_torchbench_amp_inference_cpu_x86_accuracy.json 2025-09-07T11:06:36.9416781Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_torchbench_amp_inference_cpu_x86_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585802/inductor_cpp_wrapper_torchbench_amp_inference_cpu_x86_accuracy.json 2025-09-07T11:06:37.0257246Z INFO:root:Upload test/test-reports/inductor_export_torchbench_amp_inference_cpu_x86_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585802/inductor_export_torchbench_amp_inference_cpu_x86_accuracy.json 2025-09-07T11:06:37.1050950Z INFO:root:Upload test/test-reports/inductor_aot_inductor_torchbench_amp_inference_cpu_x86_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585802/inductor_aot_inductor_torchbench_amp_inference_cpu_x86_accuracy.json 2025-09-07T11:06:37.1821787Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_torchbench_amp_inference_cpu_x86_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585802/inductor_no_cudagraphs_torchbench_amp_inference_cpu_x86_performance.json 2025-09-07T11:06:37.2676379Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_torchbench_amp_inference_cpu_x86_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585802/inductor_no_cudagraphs_torchbench_amp_inference_cpu_x86_performance_compilation_metrics.json 2025-09-07T11:06:37.3768503Z INFO:root:Upload test/test-reports/inductor_dynamic_torchbench_amp_inference_cpu_x86_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585802/inductor_dynamic_torchbench_amp_inference_cpu_x86_performance.json 2025-09-07T11:06:37.4864348Z INFO:root:Upload test/test-reports/inductor_dynamic_torchbench_amp_inference_cpu_x86_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585802/inductor_dynamic_torchbench_amp_inference_cpu_x86_performance_compilation_metrics.json 2025-09-07T11:06:37.5869408Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_torchbench_amp_inference_cpu_x86_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585802/inductor_cpp_wrapper_torchbench_amp_inference_cpu_x86_performance.json 2025-09-07T11:06:37.6958046Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_torchbench_amp_inference_cpu_x86_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585802/inductor_cpp_wrapper_torchbench_amp_inference_cpu_x86_performance_compilation_metrics.json 2025-09-07T11:06:37.7703974Z INFO:root:Upload test/test-reports/inductor_aot_inductor_torchbench_amp_inference_cpu_x86_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585802/inductor_aot_inductor_torchbench_amp_inference_cpu_x86_performance.json 2025-09-07T11:06:37.8398187Z INFO:root:Upload test/test-reports/inductor_aot_inductor_torchbench_amp_inference_cpu_x86_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585802/inductor_aot_inductor_torchbench_amp_inference_cpu_x86_performance_compilation_metrics.json 2025-09-07T11:06:37.9804518Z ##[group]Run cat test/**/*_toprint.log || true 2025-09-07T11:06:37.9804767Z cat test/**/*_toprint.log || true 2025-09-07T11:06:37.9808722Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:06:37.9808949Z env: 2025-09-07T11:06:37.9809100Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:06:37.9809389Z DOCKER_CONTAINER_ID: b839bb2a8aa9b60378393da276a0cdef08cf06ae6d882de4bbd4f5d77d016cde 2025-09-07T11:06:37.9809690Z DEVICE_NAME: 2025-09-07T11:06:37.9809839Z DEVICE_TYPE: 2025-09-07T11:06:37.9809991Z ##[endgroup] 2025-09-07T11:06:37.9871186Z cat: 'test/**/*_toprint.log': No such file or directory 2025-09-07T11:06:37.9887233Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-09-07T11:06:37.9887462Z kill "$MONITOR_SCRIPT_PID" 2025-09-07T11:06:37.9890952Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:06:37.9891189Z env: 2025-09-07T11:06:37.9891340Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:06:37.9891646Z DOCKER_CONTAINER_ID: b839bb2a8aa9b60378393da276a0cdef08cf06ae6d882de4bbd4f5d77d016cde 2025-09-07T11:06:37.9891937Z DEVICE_NAME: 2025-09-07T11:06:37.9892091Z DEVICE_TYPE: 2025-09-07T11:06:37.9892250Z MONITOR_SCRIPT_PID: 57326 2025-09-07T11:06:37.9892422Z ##[endgroup] 2025-09-07T11:06:37.9973383Z Prepare all required actions 2025-09-07T11:06:37.9973678Z Getting action download info 2025-09-07T11:06:38.1530175Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T11:06:38.3367546Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-09-07T11:06:38.7184858Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-09-07T11:06:38.7185216Z with: 2025-09-07T11:06:38.7185628Z file-suffix: test-inductor_torchbench_perf_cpu_x86-1-4-linux.24xl.spr-metal_49775585802 2025-09-07T11:06:38.7186222Z s3-bucket: gha-artifacts 2025-09-07T11:06:38.7186490Z env: 2025-09-07T11:06:38.7186700Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:06:38.7187152Z DOCKER_CONTAINER_ID: b839bb2a8aa9b60378393da276a0cdef08cf06ae6d882de4bbd4f5d77d016cde 2025-09-07T11:06:38.7187626Z DEVICE_NAME: 2025-09-07T11:06:38.7187851Z DEVICE_TYPE: 2025-09-07T11:06:38.7188071Z ##[endgroup] 2025-09-07T11:06:38.7210751Z ##[group]Run # Remove any previous test jsons if they exist 2025-09-07T11:06:38.7211196Z # Remove any previous test jsons if they exist 2025-09-07T11:06:38.7211535Z rm -f test-jsons-*.zip 2025-09-07T11:06:38.7211939Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-09-07T11:06:38.7217226Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:06:38.7217743Z env: 2025-09-07T11:06:38.7217958Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:06:38.7218412Z DOCKER_CONTAINER_ID: b839bb2a8aa9b60378393da276a0cdef08cf06ae6d882de4bbd4f5d77d016cde 2025-09-07T11:06:38.7218886Z DEVICE_NAME: 2025-09-07T11:06:38.7219101Z DEVICE_TYPE: 2025-09-07T11:06:38.7219482Z FILE_SUFFIX: test-inductor_torchbench_perf_cpu_x86-1-4-linux.24xl.spr-metal_49775585802 2025-09-07T11:06:38.7219917Z ##[endgroup] 2025-09-07T11:06:38.7354415Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_amp_inference_cpu_x86_accuracy.json (deflated 99%) 2025-09-07T11:06:38.7370137Z adding: test/test-reports/inductor_dynamic_torchbench_amp_inference_cpu_x86_accuracy.json (deflated 99%) 2025-09-07T11:06:38.7384335Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_amp_inference_cpu_x86_accuracy.json (deflated 99%) 2025-09-07T11:06:38.7397257Z adding: test/test-reports/inductor_export_torchbench_amp_inference_cpu_x86_accuracy.json (deflated 99%) 2025-09-07T11:06:38.7411222Z adding: test/test-reports/inductor_aot_inductor_torchbench_amp_inference_cpu_x86_accuracy.json (deflated 99%) 2025-09-07T11:06:38.7432527Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_amp_inference_cpu_x86_performance.json (deflated 99%) 2025-09-07T11:06:38.7479616Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_amp_inference_cpu_x86_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:06:38.7512087Z adding: test/test-reports/inductor_dynamic_torchbench_amp_inference_cpu_x86_performance.json (deflated 99%) 2025-09-07T11:06:38.7547300Z adding: test/test-reports/inductor_dynamic_torchbench_amp_inference_cpu_x86_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:06:38.7568673Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_amp_inference_cpu_x86_performance.json (deflated 99%) 2025-09-07T11:06:38.7614830Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_amp_inference_cpu_x86_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:06:38.7635854Z adding: test/test-reports/inductor_aot_inductor_torchbench_amp_inference_cpu_x86_performance.json (deflated 99%) 2025-09-07T11:06:38.7666847Z adding: test/test-reports/inductor_aot_inductor_torchbench_amp_inference_cpu_x86_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:06:38.7685596Z ##[group]Run # Remove any previous test reports if they exist 2025-09-07T11:06:38.7685893Z # Remove any previous test reports if they exist 2025-09-07T11:06:38.7686128Z rm -f test-reports-*.zip 2025-09-07T11:06:38.7686519Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-09-07T11:06:38.7690039Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:06:38.7690270Z env: 2025-09-07T11:06:38.7690423Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:06:38.7690712Z DOCKER_CONTAINER_ID: b839bb2a8aa9b60378393da276a0cdef08cf06ae6d882de4bbd4f5d77d016cde 2025-09-07T11:06:38.7691003Z DEVICE_NAME: 2025-09-07T11:06:38.7691169Z DEVICE_TYPE: 2025-09-07T11:06:38.7691432Z FILE_SUFFIX: test-inductor_torchbench_perf_cpu_x86-1-4-linux.24xl.spr-metal_49775585802 2025-09-07T11:06:38.7691719Z ##[endgroup] 2025-09-07T11:06:38.7732165Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_amp_inference_cpu_x86_accuracy.csv (deflated 53%) 2025-09-07T11:06:38.7732739Z adding: test/test-reports/inductor_dynamic_torchbench_amp_inference_cpu_x86_accuracy.csv (deflated 52%) 2025-09-07T11:06:38.7733271Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_amp_inference_cpu_x86_accuracy.csv (deflated 53%) 2025-09-07T11:06:38.7733744Z adding: test/test-reports/inductor_export_torchbench_amp_inference_cpu_x86_accuracy.csv (deflated 54%) 2025-09-07T11:06:38.7734207Z adding: test/test-reports/inductor_aot_inductor_torchbench_amp_inference_cpu_x86_accuracy.csv (deflated 65%) 2025-09-07T11:06:38.7734682Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_amp_inference_cpu_x86_performance.csv (deflated 48%) 2025-09-07T11:06:38.7735307Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_amp_inference_cpu_x86_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T11:06:38.7735828Z adding: test/test-reports/inductor_dynamic_torchbench_amp_inference_cpu_x86_performance.csv (deflated 47%) 2025-09-07T11:06:38.7737027Z adding: test/test-reports/inductor_dynamic_torchbench_amp_inference_cpu_x86_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T11:06:38.7737547Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_amp_inference_cpu_x86_performance.csv (deflated 48%) 2025-09-07T11:06:38.7738751Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_amp_inference_cpu_x86_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T11:06:38.7739274Z adding: test/test-reports/inductor_aot_inductor_torchbench_amp_inference_cpu_x86_performance.csv (deflated 49%) 2025-09-07T11:06:38.7739993Z adding: test/test-reports/inductor_aot_inductor_torchbench_amp_inference_cpu_x86_performance_compilation_metrics.csv (deflated 49%) 2025-09-07T11:06:38.7753341Z ##[group]Run # Remove any previous usage logs if they exist 2025-09-07T11:06:38.7753624Z # Remove any previous usage logs if they exist 2025-09-07T11:06:38.7753863Z rm -f logs-*.zip 2025-09-07T11:06:38.7754091Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-09-07T11:06:38.7754391Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-09-07T11:06:38.7758099Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:06:38.7758337Z env: 2025-09-07T11:06:38.7758488Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:06:38.7758791Z DOCKER_CONTAINER_ID: b839bb2a8aa9b60378393da276a0cdef08cf06ae6d882de4bbd4f5d77d016cde 2025-09-07T11:06:38.7759107Z DEVICE_NAME: 2025-09-07T11:06:38.7759256Z DEVICE_TYPE: 2025-09-07T11:06:38.7759519Z FILE_SUFFIX: test-inductor_torchbench_perf_cpu_x86-1-4-linux.24xl.spr-metal_49775585802 2025-09-07T11:06:38.7759824Z ##[endgroup] 2025-09-07T11:06:38.7844950Z adding: usage_log.txt (deflated 97%) 2025-09-07T11:06:38.7855001Z 2025-09-07T11:06:38.7855228Z zip error: Nothing to do! (logs-test-inductor_torchbench_perf_cpu_x86-1-4-linux.24xl.spr-metal_49775585802.zip) 2025-09-07T11:06:38.7877235Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-09-07T11:06:38.7877726Z # Remove any previous debugging artifacts if they exist 2025-09-07T11:06:38.7878120Z rm -f debug-*.zip 2025-09-07T11:06:38.7878407Z if [ -d 'test/debug' ]; then 2025-09-07T11:06:38.7878924Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-09-07T11:06:38.7879241Z fi 2025-09-07T11:06:38.7884366Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:06:38.7884718Z env: 2025-09-07T11:06:38.7884925Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:06:38.7885373Z DOCKER_CONTAINER_ID: b839bb2a8aa9b60378393da276a0cdef08cf06ae6d882de4bbd4f5d77d016cde 2025-09-07T11:06:38.7885846Z DEVICE_NAME: 2025-09-07T11:06:38.7886058Z DEVICE_TYPE: 2025-09-07T11:06:38.7886441Z FILE_SUFFIX: test-inductor_torchbench_perf_cpu_x86-1-4-linux.24xl.spr-metal_49775585802 2025-09-07T11:06:38.7886978Z ##[endgroup] 2025-09-07T11:06:38.7939760Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T11:06:38.7939968Z with: 2025-09-07T11:06:38.7940114Z s3-bucket: gha-artifacts 2025-09-07T11:06:38.7940323Z s3-prefix: pytorch/pytorch/17525285611/1/artifact 2025-09-07T11:06:38.7940535Z retention-days: 14 2025-09-07T11:06:38.7940697Z if-no-files-found: warn 2025-09-07T11:06:38.7940889Z path: test-jsons-*.zip 2025-09-07T11:06:38.7941044Z name: artifact 2025-09-07T11:06:38.7941190Z region: us-east-1 2025-09-07T11:06:38.7941339Z env: 2025-09-07T11:06:38.7941472Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:06:38.7941756Z DOCKER_CONTAINER_ID: b839bb2a8aa9b60378393da276a0cdef08cf06ae6d882de4bbd4f5d77d016cde 2025-09-07T11:06:38.7942051Z DEVICE_NAME: 2025-09-07T11:06:38.7942243Z DEVICE_TYPE: 2025-09-07T11:06:38.7942379Z ##[endgroup] 2025-09-07T11:06:39.0553995Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T11:06:39.0554290Z With the provided path, there will be 1 file uploaded 2025-09-07T11:06:39.0554590Z Uploading to s3 prefix: pytorch/pytorch/17525285611/1/artifact 2025-09-07T11:06:39.0583491Z Starting upload of test-jsons-test-inductor_torchbench_perf_cpu_x86-1-4-linux.24xl.spr-metal_49775585802.zip 2025-09-07T11:06:39.1808948Z Finished upload of test-jsons-test-inductor_torchbench_perf_cpu_x86-1-4-linux.24xl.spr-metal_49775585802.zip 2025-09-07T11:06:39.1944407Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T11:06:39.1944620Z with: 2025-09-07T11:06:39.1944790Z s3-bucket: gha-artifacts 2025-09-07T11:06:39.1945009Z s3-prefix: pytorch/pytorch/17525285611/1/artifact 2025-09-07T11:06:39.1945233Z retention-days: 14 2025-09-07T11:06:39.1945394Z if-no-files-found: error 2025-09-07T11:06:39.1945577Z path: test-reports-*.zip 2025-09-07T11:06:39.1945753Z name: artifact 2025-09-07T11:06:39.1945905Z region: us-east-1 2025-09-07T11:06:39.1946053Z env: 2025-09-07T11:06:39.1946198Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:06:39.1946480Z DOCKER_CONTAINER_ID: b839bb2a8aa9b60378393da276a0cdef08cf06ae6d882de4bbd4f5d77d016cde 2025-09-07T11:06:39.1946779Z DEVICE_NAME: 2025-09-07T11:06:39.1946926Z DEVICE_TYPE: 2025-09-07T11:06:39.1947076Z ##[endgroup] 2025-09-07T11:06:39.4149102Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T11:06:39.4149414Z With the provided path, there will be 1 file uploaded 2025-09-07T11:06:39.4149729Z Uploading to s3 prefix: pytorch/pytorch/17525285611/1/artifact 2025-09-07T11:06:39.4177751Z Starting upload of test-reports-test-inductor_torchbench_perf_cpu_x86-1-4-linux.24xl.spr-metal_49775585802.zip 2025-09-07T11:06:39.5407175Z Finished upload of test-reports-test-inductor_torchbench_perf_cpu_x86-1-4-linux.24xl.spr-metal_49775585802.zip 2025-09-07T11:06:39.5538415Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T11:06:39.5538646Z with: 2025-09-07T11:06:39.5538815Z s3-bucket: gha-artifacts 2025-09-07T11:06:39.5539035Z s3-prefix: pytorch/pytorch/17525285611/1/artifact 2025-09-07T11:06:39.5539246Z retention-days: 14 2025-09-07T11:06:39.5539426Z if-no-files-found: ignore 2025-09-07T11:06:39.5539605Z path: logs-*.zip 2025-09-07T11:06:39.5539755Z name: artifact 2025-09-07T11:06:39.5539909Z region: us-east-1 2025-09-07T11:06:39.5540064Z env: 2025-09-07T11:06:39.5540209Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:06:39.5540603Z DOCKER_CONTAINER_ID: b839bb2a8aa9b60378393da276a0cdef08cf06ae6d882de4bbd4f5d77d016cde 2025-09-07T11:06:39.5540905Z DEVICE_NAME: 2025-09-07T11:06:39.5541058Z DEVICE_TYPE: 2025-09-07T11:06:39.5541206Z ##[endgroup] 2025-09-07T11:06:39.7824419Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T11:06:39.7824727Z With the provided path, there will be 1 file uploaded 2025-09-07T11:06:39.7825010Z Uploading to s3 prefix: pytorch/pytorch/17525285611/1/artifact 2025-09-07T11:06:39.7853531Z Starting upload of logs-test-inductor_torchbench_perf_cpu_x86-1-4-linux.24xl.spr-metal_49775585802.zip 2025-09-07T11:06:39.9035523Z Finished upload of logs-test-inductor_torchbench_perf_cpu_x86-1-4-linux.24xl.spr-metal_49775585802.zip 2025-09-07T11:06:39.9166313Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T11:06:39.9166538Z with: 2025-09-07T11:06:39.9166715Z s3-bucket: gha-artifacts 2025-09-07T11:06:39.9166939Z s3-prefix: pytorch/pytorch/17525285611/1/artifact 2025-09-07T11:06:39.9167170Z retention-days: 14 2025-09-07T11:06:39.9167359Z if-no-files-found: ignore 2025-09-07T11:06:39.9167554Z path: debug-*.zip 2025-09-07T11:06:39.9167711Z name: artifact 2025-09-07T11:06:39.9167873Z region: us-east-1 2025-09-07T11:06:39.9168025Z env: 2025-09-07T11:06:39.9168178Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:06:39.9168466Z DOCKER_CONTAINER_ID: b839bb2a8aa9b60378393da276a0cdef08cf06ae6d882de4bbd4f5d77d016cde 2025-09-07T11:06:39.9168783Z DEVICE_NAME: 2025-09-07T11:06:39.9168994Z DEVICE_TYPE: 2025-09-07T11:06:39.9169155Z ##[endgroup] 2025-09-07T11:06:40.1383739Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-09-07T11:06:40.1531275Z ##[group]Run # shellcheck disable=SC2156 2025-09-07T11:06:40.1531652Z # shellcheck disable=SC2156 2025-09-07T11:06:40.1532169Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-09-07T11:06:40.1538366Z shell: /usr/bin/bash -e {0} 2025-09-07T11:06:40.1538638Z env: 2025-09-07T11:06:40.1538848Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:06:40.1539328Z DOCKER_CONTAINER_ID: b839bb2a8aa9b60378393da276a0cdef08cf06ae6d882de4bbd4f5d77d016cde 2025-09-07T11:06:40.1539836Z DEVICE_NAME: 2025-09-07T11:06:40.1540066Z DEVICE_TYPE: 2025-09-07T11:06:40.1540299Z ##[endgroup] 2025-09-07T11:06:40.3228687Z Prepare all required actions 2025-09-07T11:06:40.3228944Z Getting action download info 2025-09-07T11:06:40.4409484Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-09-07T11:06:40.4409718Z with: 2025-09-07T11:06:40.4409867Z job_id: 49775585802 2025-09-07T11:06:40.4410203Z job_name: inductor-test-nightly-freezing / test (inductor_torchbench_perf_cpu_x86, 1, 4, linux.24xl.spr-metal) 2025-09-07T11:06:40.4410585Z workflow_name: inductor-perf-nightly-x86 2025-09-07T11:06:40.4410789Z workflow_run_id: 17525285611 2025-09-07T11:06:40.4410970Z workflow_attempt: 1 2025-09-07T11:06:40.4411128Z env: 2025-09-07T11:06:40.4411274Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:06:40.4411557Z DOCKER_CONTAINER_ID: b839bb2a8aa9b60378393da276a0cdef08cf06ae6d882de4bbd4f5d77d016cde 2025-09-07T11:06:40.4411861Z DEVICE_NAME: 2025-09-07T11:06:40.4412015Z DEVICE_TYPE: 2025-09-07T11:06:40.4412166Z ##[endgroup] 2025-09-07T11:06:40.4422096Z ##[group]Run echo "workflow_id: 17525285611" 2025-09-07T11:06:40.4422331Z echo "workflow_id: 17525285611" 2025-09-07T11:06:40.4422544Z echo "workflow_attempt: 1" 2025-09-07T11:06:40.4422785Z echo "workflow_Name: inductor-perf-nightly-x86" 2025-09-07T11:06:40.4423027Z echo "job_id: 49775585802" 2025-09-07T11:06:40.4423398Z echo "job_name: inductor-test-nightly-freezing / test (inductor_torchbench_perf_cpu_x86, 1, 4, linux.24xl.spr-metal)" 2025-09-07T11:06:40.4423781Z echo "artifact_prefix: " 2025-09-07T11:06:40.4423977Z python3 --version 2025-09-07T11:06:40.4427751Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:06:40.4427996Z env: 2025-09-07T11:06:40.4428150Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:06:40.4428441Z DOCKER_CONTAINER_ID: b839bb2a8aa9b60378393da276a0cdef08cf06ae6d882de4bbd4f5d77d016cde 2025-09-07T11:06:40.4428735Z DEVICE_NAME: 2025-09-07T11:06:40.4428892Z DEVICE_TYPE: 2025-09-07T11:06:40.4429046Z ##[endgroup] 2025-09-07T11:06:40.4446175Z workflow_id: 17525285611 2025-09-07T11:06:40.4446411Z workflow_attempt: 1 2025-09-07T11:06:40.4446613Z workflow_Name: inductor-perf-nightly-x86 2025-09-07T11:06:40.4446837Z job_id: 49775585802 2025-09-07T11:06:40.4447178Z job_name: inductor-test-nightly-freezing / test (inductor_torchbench_perf_cpu_x86, 1, 4, linux.24xl.spr-metal) 2025-09-07T11:06:40.4447709Z artifact_prefix: 2025-09-07T11:06:40.4457750Z Python 3.9.23 2025-09-07T11:06:40.4482755Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T11:06:40.4482965Z with: 2025-09-07T11:06:40.4483103Z shell: bash 2025-09-07T11:06:40.4483258Z timeout_minutes: 5 2025-09-07T11:06:40.4483422Z max_attempts: 5 2025-09-07T11:06:40.4483580Z retry_wait_seconds: 30 2025-09-07T11:06:40.4483906Z 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 2025-09-07T11:06:40.4484253Z polling_interval_seconds: 1 2025-09-07T11:06:40.4484432Z warning_on_retry: true 2025-09-07T11:06:40.4484610Z continue_on_error: false 2025-09-07T11:06:40.4484770Z env: 2025-09-07T11:06:40.4484913Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:06:40.4485197Z DOCKER_CONTAINER_ID: b839bb2a8aa9b60378393da276a0cdef08cf06ae6d882de4bbd4f5d77d016cde 2025-09-07T11:06:40.4485603Z DEVICE_NAME: 2025-09-07T11:06:40.4485763Z DEVICE_TYPE: 2025-09-07T11:06:40.4485911Z ##[endgroup] 2025-09-07T11:06:40.6785275Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T11:06:40.7438749Z Collecting python-dateutil==2.8.2 2025-09-07T11:06:40.7555079Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-09-07T11:06:41.3931350Z Collecting boto3==1.35.42 2025-09-07T11:06:41.3956843Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-09-07T11:06:41.7476560Z Collecting pandas==2.1.3 2025-09-07T11:06:41.7506978Z Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB) 2025-09-07T11:06:41.8364966Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7) 2025-09-07T11:06:41.8372168Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0) 2025-09-07T11:06:41.8402389Z 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) 2025-09-07T11:06:41.8406020Z 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) 2025-09-07T11:06:41.8408509Z 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) 2025-09-07T11:06:41.8815490Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1) 2025-09-07T11:06:41.9081762Z Collecting tzdata>=2022.1 2025-09-07T11:06:41.9108509Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-09-07T11:06:42.4611709Z Collecting numpy<2,>=1.22.4 2025-09-07T11:06:42.4638453Z Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) 2025-09-07T11:06:42.5808059Z Requirement already satisfied: marshmallow<4.0.0,>=3.18.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (3.26.1) 2025-09-07T11:06:42.5808723Z Requirement already satisfied: typing-inspect<1,>=0.4.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (0.9.0) 2025-09-07T11:06:42.5863053Z 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) 2025-09-07T11:06:42.5922955Z Requirement already satisfied: packaging>=17.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses_json==0.6.7) (25.0) 2025-09-07T11:06:42.5990828Z Requirement already satisfied: mypy-extensions>=0.3.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (1.1.0) 2025-09-07T11:06:42.5994595Z Requirement already satisfied: typing-extensions>=3.7.4 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.15.0) 2025-09-07T11:06:42.7316168Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3 2025-09-07T11:06:46.2112349Z Attempting uninstall: boto3 2025-09-07T11:06:46.2112612Z Found existing installation: boto3 1.35.33 2025-09-07T11:06:46.2172070Z Uninstalling boto3-1.35.33: 2025-09-07T11:06:46.2180503Z Successfully uninstalled boto3-1.35.33 2025-09-07T11:06:46.2551878Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2 2025-09-07T11:06:46.5077601Z Command completed after 1 attempt(s). 2025-09-07T11:06:46.5119565Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T11:06:46.5120002Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T11:06:46.5120306Z  --workflow-run-id "17525285611" \ 2025-09-07T11:06:46.5120565Z  --workflow-name "inductor-perf-nightly-x86" \ 2025-09-07T11:06:46.5120880Z  --workflow-run-attempt "1" \ 2025-09-07T11:06:46.5121089Z  --job-id "49775585802" \ 2025-09-07T11:06:46.5121468Z  --job-name "inductor-test-nightly-freezing / test (inductor_torchbench_perf_cpu_x86, 1, 4, linux.24xl.spr-metal)" \ 2025-09-07T11:06:46.5121847Z  --local-path "" \ 2025-09-07T11:06:46.5122040Z  --artifact-prefix "" 2025-09-07T11:06:46.5126655Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:06:46.5126891Z env: 2025-09-07T11:06:46.5127046Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:06:46.5127345Z DOCKER_CONTAINER_ID: b839bb2a8aa9b60378393da276a0cdef08cf06ae6d882de4bbd4f5d77d016cde 2025-09-07T11:06:46.5127638Z DEVICE_NAME: 2025-09-07T11:06:46.5127794Z DEVICE_TYPE: 2025-09-07T11:06:46.5128041Z ##[endgroup] 2025-09-07T11:06:47.5160869Z repo: pytorch/pytorch 2025-09-07T11:06:47.5161134Z Search for test log in s3 bucket: ossci-utilization 2025-09-07T11:06:47.5161544Z Downloading logs-test-inductor_torchbench_perf_cpu_x86-1-4-linux.24xl.spr-metal_49775585802.zip 2025-09-07T11:06:47.5162047Z extracting usage_log.txt from zip file logs-test-inductor_torchbench_perf_cpu_x86-1-4-linux.24xl.spr-metal_49775585802.zip 2025-09-07T11:06:47.5162438Z Converted Log Model: UtilizationMetadata: 2025-09-07T11:06:47.5163322Z UtilizationMetadata(level='metadata', workflow_id='17525285611', job_id='49775585802', workflow_name='inductor-perf-nightly-x86', job_name='inductor-test-nightly-freezing / test (inductor_torchbench_perf_cpu_x86, 1, 4, linux.24xl.spr-metal)', usage_collect_interval=4.0, data_model_version=1.5, start_at=1757231193, gpu_count=0, cpu_count=96, gpu_type=None, error=None) 2025-09-07T11:06:47.5164220Z [Db Segments] detected pytest cmd: 14, generated segments: 14 2025-09-07T11:06:47.5164478Z [db model] Peek db timeseries 2025-09-07T11:06:47.5164676Z :{ 2025-09-07T11:06:47.5164824Z "created_at": 1757243207, 2025-09-07T11:06:47.5165002Z "type": "utilization", 2025-09-07T11:06:47.5165171Z "tags": [ 2025-09-07T11:06:47.5165324Z "record" 2025-09-07T11:06:47.5165470Z ], 2025-09-07T11:06:47.5165612Z "time_stamp": 1757231193, 2025-09-07T11:06:47.5165787Z "repo": "pytorch/pytorch", 2025-09-07T11:06:47.5165968Z "workflow_id": 17525285611, 2025-09-07T11:06:47.5166146Z "run_attempt": 1, 2025-09-07T11:06:47.5166311Z "job_id": 49775585802, 2025-09-07T11:06:47.5166507Z "workflow_name": "inductor-perf-nightly-x86", 2025-09-07T11:06:47.5166895Z "job_name": "inductor-test-nightly-freezing / test (inductor_torchbench_perf_cpu_x86, 1, 4, linux.24xl.spr-metal)", 2025-09-07T11:06:47.5167237Z "json_data": "{}" 2025-09-07T11:06:47.5167389Z } 2025-09-07T11:06:47.5167686Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17525285611/1/49775585802/metadata 2025-09-07T11:06:47.5168193Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17525285611/1/49775585802/metadata 2025-09-07T11:06:47.5168713Z Writing 798 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17525285611/1/49775585802/time_series 2025-09-07T11:06:47.5169234Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17525285611/1/49775585802/time_series 2025-09-07T11:06:47.5922234Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-09-07T11:06:47.5922590Z with: 2025-09-07T11:06:47.5922794Z env: 2025-09-07T11:06:47.5922997Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:06:47.5923416Z DOCKER_CONTAINER_ID: b839bb2a8aa9b60378393da276a0cdef08cf06ae6d882de4bbd4f5d77d016cde 2025-09-07T11:06:47.5923842Z DEVICE_NAME: 2025-09-07T11:06:47.5924059Z DEVICE_TYPE: 2025-09-07T11:06:47.5924263Z ##[endgroup] 2025-09-07T11:06:47.5942411Z ##[group]Run set -eou pipefail 2025-09-07T11:06:47.5942705Z set -eou pipefail 2025-09-07T11:06:47.5942936Z  2025-09-07T11:06:47.5943252Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-09-07T11:06:47.5943684Z for _ in $(seq 1440); do 2025-09-07T11:06:47.5943977Z  # Break if no ssh session exists anymore 2025-09-07T11:06:47.5944277Z  if [ "$(who)" = "" ]; then 2025-09-07T11:06:47.5944532Z  break 2025-09-07T11:06:47.5944773Z  fi 2025-09-07T11:06:47.5944977Z  echo "." 2025-09-07T11:06:47.5945181Z  sleep 5 2025-09-07T11:06:47.5945388Z done 2025-09-07T11:06:47.5950764Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:06:47.5951081Z env: 2025-09-07T11:06:47.5951278Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:06:47.5951679Z DOCKER_CONTAINER_ID: b839bb2a8aa9b60378393da276a0cdef08cf06ae6d882de4bbd4f5d77d016cde 2025-09-07T11:06:47.5952086Z DEVICE_NAME: 2025-09-07T11:06:47.5952293Z DEVICE_TYPE: 2025-09-07T11:06:47.5952499Z ##[endgroup] 2025-09-07T11:06:47.5971760Z Holding runner for 2 hours until all ssh sessions have logged out 2025-09-07T11:06:47.6033497Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T11:06:47.6033910Z # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T11:06:47.6034179Z # shellcheck disable=SC2046 2025-09-07T11:06:47.6034406Z docker stop $(docker ps -q) || true 2025-09-07T11:06:47.6034619Z # Prune all of the docker images 2025-09-07T11:06:47.6034826Z docker system prune -af 2025-09-07T11:06:47.6038884Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:06:47.6039112Z env: 2025-09-07T11:06:47.6039252Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:06:47.6039566Z DOCKER_CONTAINER_ID: b839bb2a8aa9b60378393da276a0cdef08cf06ae6d882de4bbd4f5d77d016cde 2025-09-07T11:06:47.6039866Z DEVICE_NAME: 2025-09-07T11:06:47.6040021Z DEVICE_TYPE: 2025-09-07T11:06:47.6040163Z ##[endgroup] 2025-09-07T11:06:58.4400263Z b839bb2a8aa9 2025-09-07T11:06:58.8587852Z Deleted Containers: 2025-09-07T11:06:58.8588178Z b839bb2a8aa9b60378393da276a0cdef08cf06ae6d882de4bbd4f5d77d016cde 2025-09-07T11:06:58.8588395Z 2025-09-07T11:07:05.1228755Z Deleted Images: 2025-09-07T11:07:05.1229424Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T11:07:05.1230182Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:383efb45082f20b8c808cb0ba4df693a01359592233f641f1f486911ac320a9a 2025-09-07T11:07:05.1230695Z deleted: sha256:662d8c9dfc7db2f5d004293de4f2b7647941dee4c916479ef082d17fcdfd9c47 2025-09-07T11:07:05.1231071Z deleted: sha256:ea5ad443c754124b3a5a209c2663376b4c156947edef1b982a336148bbf9114d 2025-09-07T11:07:05.1231442Z deleted: sha256:284be7504f072e0c04da4e2190e8d0e1de73835ed67be81f3ddd7eafd5d06a3a 2025-09-07T11:07:05.1231817Z deleted: sha256:2f49ff4be65f7ca55de8d7028fb3df7d08232a9f043aa7ba27d9393724286281 2025-09-07T11:07:05.1232203Z deleted: sha256:f63b503fdd1cca198aecefb9eef7ffbeb5fbc723f2a8462f50316e56cd403cbc 2025-09-07T11:07:05.1232580Z deleted: sha256:f9d46e08457013f0e71d608ac3dd95b79c41120060a80baefa684048cc15574e 2025-09-07T11:07:05.1232942Z deleted: sha256:cab76e28615751b6d6a703103b1da790a67cb3a4ee2e8814de51de18ff8b595d 2025-09-07T11:07:05.1233737Z deleted: 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2025-09-07T11:07:05.2101358Z git version 2.47.1 2025-09-07T11:07:05.2125091Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/91d81cbd-7aaa-4cc6-b1e3-083dbfda74df/.gitconfig' 2025-09-07T11:07:05.2130858Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/91d81cbd-7aaa-4cc6-b1e3-083dbfda74df' before making global git config changes 2025-09-07T11:07:05.2131395Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T11:07:05.2134317Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T11:07:05.2167810Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T11:07:05.2197660Z [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' || :" 2025-09-07T11:07:05.2452305Z Entering 'android/libs/fbjni' 2025-09-07T11:07:05.2498351Z Entering 'third_party/FP16' 2025-09-07T11:07:05.2542572Z Entering 'third_party/FXdiv' 2025-09-07T11:07:05.2586904Z Entering 'third_party/NNPACK' 2025-09-07T11:07:05.2630095Z Entering 'third_party/NVTX' 2025-09-07T11:07:05.2673950Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T11:07:05.2716032Z Entering 'third_party/XNNPACK' 2025-09-07T11:07:05.2779114Z Entering 'third_party/aiter' 2025-09-07T11:07:05.2820166Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T11:07:05.2866494Z Entering 'third_party/benchmark' 2025-09-07T11:07:05.2906647Z Entering 'third_party/composable_kernel' 2025-09-07T11:07:05.2958405Z Entering 'third_party/cpp-httplib' 2025-09-07T11:07:05.2998702Z Entering 'third_party/cpuinfo' 2025-09-07T11:07:05.3044217Z Entering 'third_party/cudnn_frontend' 2025-09-07T11:07:05.3085640Z Entering 'third_party/cutlass' 2025-09-07T11:07:05.3132938Z Entering 'third_party/fbgemm' 2025-09-07T11:07:05.3175231Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T11:07:05.3215795Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T11:07:05.3262569Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T11:07:05.3305515Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T11:07:05.3354901Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T11:07:05.3396880Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T11:07:05.3436848Z Entering 'third_party/fbgemm/external/json' 2025-09-07T11:07:05.3480416Z Entering 'third_party/flash-attention' 2025-09-07T11:07:05.3526369Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T11:07:05.3574902Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T11:07:05.3618925Z Entering 'third_party/flatbuffers' 2025-09-07T11:07:05.3666732Z Entering 'third_party/fmt' 2025-09-07T11:07:05.3711546Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T11:07:05.3755363Z Entering 'third_party/gloo' 2025-09-07T11:07:05.3799550Z Entering 'third_party/googletest' 2025-09-07T11:07:05.3843919Z Entering 'third_party/ideep' 2025-09-07T11:07:05.3889017Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T11:07:05.3936436Z Entering 'third_party/ittapi' 2025-09-07T11:07:05.3980424Z Entering 'third_party/kineto' 2025-09-07T11:07:05.4026115Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T11:07:05.4069952Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T11:07:05.4115623Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T11:07:05.4159833Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T11:07:05.4202888Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T11:07:05.4249909Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T11:07:05.4296985Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T11:07:05.4340973Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T11:07:05.4383546Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T11:07:05.4424521Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T11:07:05.4470812Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T11:07:05.4512133Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T11:07:05.4557888Z Entering 'third_party/kleidiai' 2025-09-07T11:07:05.4604688Z Entering 'third_party/mimalloc' 2025-09-07T11:07:05.4648076Z Entering 'third_party/nlohmann' 2025-09-07T11:07:05.4691838Z Entering 'third_party/onnx' 2025-09-07T11:07:05.4746781Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T11:07:05.4792517Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T11:07:05.4833474Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T11:07:05.4879412Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T11:07:05.4920227Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T11:07:05.4960395Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T11:07:05.5006808Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T11:07:05.5047157Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T11:07:05.5091689Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T11:07:05.5132034Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T11:07:05.5179366Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T11:07:05.5222052Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T11:07:05.5282597Z Entering 'third_party/pocketfft' 2025-09-07T11:07:05.5326117Z Entering 'third_party/protobuf' 2025-09-07T11:07:05.5372176Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T11:07:05.5413092Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T11:07:05.5460635Z Entering 'third_party/psimd' 2025-09-07T11:07:05.5506074Z Entering 'third_party/pthreadpool' 2025-09-07T11:07:05.5554612Z Entering 'third_party/pybind11' 2025-09-07T11:07:05.5598412Z Entering 'third_party/python-peachpy' 2025-09-07T11:07:05.5643393Z Entering 'third_party/sleef' 2025-09-07T11:07:05.5689540Z Entering 'third_party/tensorpipe' 2025-09-07T11:07:05.5732317Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T11:07:05.5775962Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T11:07:05.5820062Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T11:07:05.5865521Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T11:07:05.5905694Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T11:07:05.5969344Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T11:07:05.5985365Z http.https://github.com/.extraheader 2025-09-07T11:07:05.5992255Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-09-07T11:07:05.6018417Z [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' || :" 2025-09-07T11:07:05.6269083Z Entering 'android/libs/fbjni' 2025-09-07T11:07:05.6297168Z http.https://github.com/.extraheader 2025-09-07T11:07:05.6323954Z Entering 'third_party/FP16' 2025-09-07T11:07:05.6353244Z http.https://github.com/.extraheader 2025-09-07T11:07:05.6380179Z Entering 'third_party/FXdiv' 2025-09-07T11:07:05.6410365Z http.https://github.com/.extraheader 2025-09-07T11:07:05.6436392Z Entering 'third_party/NNPACK' 2025-09-07T11:07:05.6465579Z http.https://github.com/.extraheader 2025-09-07T11:07:05.6492421Z Entering 'third_party/NVTX' 2025-09-07T11:07:05.6523048Z http.https://github.com/.extraheader 2025-09-07T11:07:05.6550764Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T11:07:05.6580504Z http.https://github.com/.extraheader 2025-09-07T11:07:05.6608911Z Entering 'third_party/XNNPACK' 2025-09-07T11:07:05.6640066Z http.https://github.com/.extraheader 2025-09-07T11:07:05.6679168Z Entering 'third_party/aiter' 2025-09-07T11:07:05.6707256Z http.https://github.com/.extraheader 2025-09-07T11:07:05.6734390Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T11:07:05.6764470Z http.https://github.com/.extraheader 2025-09-07T11:07:05.6796770Z Entering 'third_party/benchmark' 2025-09-07T11:07:05.6824644Z http.https://github.com/.extraheader 2025-09-07T11:07:05.6849798Z Entering 'third_party/composable_kernel' 2025-09-07T11:07:05.6881817Z http.https://github.com/.extraheader 2025-09-07T11:07:05.6916344Z Entering 'third_party/cpp-httplib' 2025-09-07T11:07:05.6944899Z http.https://github.com/.extraheader 2025-09-07T11:07:05.6972651Z Entering 'third_party/cpuinfo' 2025-09-07T11:07:05.7001550Z http.https://github.com/.extraheader 2025-09-07T11:07:05.7028865Z Entering 'third_party/cudnn_frontend' 2025-09-07T11:07:05.7059606Z http.https://github.com/.extraheader 2025-09-07T11:07:05.7084759Z Entering 'third_party/cutlass' 2025-09-07T11:07:05.7114515Z http.https://github.com/.extraheader 2025-09-07T11:07:05.7150144Z Entering 'third_party/fbgemm' 2025-09-07T11:07:05.7181248Z http.https://github.com/.extraheader 2025-09-07T11:07:05.7210231Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T11:07:05.7238158Z http.https://github.com/.extraheader 2025-09-07T11:07:05.7264584Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T11:07:05.7291228Z http.https://github.com/.extraheader 2025-09-07T11:07:05.7321315Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T11:07:05.7348287Z http.https://github.com/.extraheader 2025-09-07T11:07:05.7373041Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T11:07:05.7401115Z http.https://github.com/.extraheader 2025-09-07T11:07:05.7433310Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T11:07:05.7462715Z http.https://github.com/.extraheader 2025-09-07T11:07:05.7489299Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T11:07:05.7521776Z http.https://github.com/.extraheader 2025-09-07T11:07:05.7549936Z Entering 'third_party/fbgemm/external/json' 2025-09-07T11:07:05.7579188Z http.https://github.com/.extraheader 2025-09-07T11:07:05.7606030Z Entering 'third_party/flash-attention' 2025-09-07T11:07:05.7637950Z http.https://github.com/.extraheader 2025-09-07T11:07:05.7667560Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T11:07:05.7697010Z http.https://github.com/.extraheader 2025-09-07T11:07:05.7726978Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T11:07:05.7757323Z http.https://github.com/.extraheader 2025-09-07T11:07:05.7791581Z Entering 'third_party/flatbuffers' 2025-09-07T11:07:05.7820817Z http.https://github.com/.extraheader 2025-09-07T11:07:05.7847800Z Entering 'third_party/fmt' 2025-09-07T11:07:05.7876493Z http.https://github.com/.extraheader 2025-09-07T11:07:05.7902074Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T11:07:05.7934096Z http.https://github.com/.extraheader 2025-09-07T11:07:05.7962364Z Entering 'third_party/gloo' 2025-09-07T11:07:05.7990778Z http.https://github.com/.extraheader 2025-09-07T11:07:05.8015932Z Entering 'third_party/googletest' 2025-09-07T11:07:05.8045180Z http.https://github.com/.extraheader 2025-09-07T11:07:05.8072789Z Entering 'third_party/ideep' 2025-09-07T11:07:05.8099973Z http.https://github.com/.extraheader 2025-09-07T11:07:05.8127534Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T11:07:05.8156266Z http.https://github.com/.extraheader 2025-09-07T11:07:05.8187906Z Entering 'third_party/ittapi' 2025-09-07T11:07:05.8219291Z http.https://github.com/.extraheader 2025-09-07T11:07:05.8247882Z Entering 'third_party/kineto' 2025-09-07T11:07:05.8277625Z http.https://github.com/.extraheader 2025-09-07T11:07:05.8302854Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T11:07:05.8331377Z http.https://github.com/.extraheader 2025-09-07T11:07:05.8359342Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T11:07:05.8386528Z http.https://github.com/.extraheader 2025-09-07T11:07:05.8413196Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T11:07:05.8443063Z http.https://github.com/.extraheader 2025-09-07T11:07:05.8468164Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T11:07:05.8493672Z http.https://github.com/.extraheader 2025-09-07T11:07:05.8519854Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T11:07:05.8549224Z http.https://github.com/.extraheader 2025-09-07T11:07:05.8576084Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T11:07:05.8607462Z http.https://github.com/.extraheader 2025-09-07T11:07:05.8635824Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T11:07:05.8666808Z http.https://github.com/.extraheader 2025-09-07T11:07:05.8693169Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T11:07:05.8721183Z http.https://github.com/.extraheader 2025-09-07T11:07:05.8747889Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T11:07:05.8777268Z http.https://github.com/.extraheader 2025-09-07T11:07:05.8806815Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T11:07:05.8836819Z http.https://github.com/.extraheader 2025-09-07T11:07:05.8867121Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T11:07:05.8895320Z http.https://github.com/.extraheader 2025-09-07T11:07:05.8920827Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T11:07:05.8951042Z http.https://github.com/.extraheader 2025-09-07T11:07:05.8979784Z Entering 'third_party/kleidiai' 2025-09-07T11:07:05.9010637Z http.https://github.com/.extraheader 2025-09-07T11:07:05.9035333Z Entering 'third_party/mimalloc' 2025-09-07T11:07:05.9066894Z http.https://github.com/.extraheader 2025-09-07T11:07:05.9092428Z Entering 'third_party/nlohmann' 2025-09-07T11:07:05.9121110Z http.https://github.com/.extraheader 2025-09-07T11:07:05.9146412Z Entering 'third_party/onnx' 2025-09-07T11:07:05.9176360Z http.https://github.com/.extraheader 2025-09-07T11:07:05.9217283Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T11:07:05.9246680Z http.https://github.com/.extraheader 2025-09-07T11:07:05.9278786Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T11:07:05.9307618Z http.https://github.com/.extraheader 2025-09-07T11:07:05.9332505Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T11:07:05.9363989Z http.https://github.com/.extraheader 2025-09-07T11:07:05.9389370Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T11:07:05.9417094Z http.https://github.com/.extraheader 2025-09-07T11:07:05.9441842Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T11:07:05.9472520Z http.https://github.com/.extraheader 2025-09-07T11:07:05.9498059Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T11:07:05.9527317Z http.https://github.com/.extraheader 2025-09-07T11:07:05.9552546Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T11:07:05.9580336Z http.https://github.com/.extraheader 2025-09-07T11:07:05.9608197Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T11:07:05.9635831Z http.https://github.com/.extraheader 2025-09-07T11:07:05.9660626Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T11:07:05.9688901Z http.https://github.com/.extraheader 2025-09-07T11:07:05.9715029Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T11:07:05.9743579Z http.https://github.com/.extraheader 2025-09-07T11:07:05.9771363Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T11:07:05.9799074Z http.https://github.com/.extraheader 2025-09-07T11:07:05.9826259Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T11:07:05.9853217Z http.https://github.com/.extraheader 2025-09-07T11:07:05.9893764Z Entering 'third_party/pocketfft' 2025-09-07T11:07:05.9924405Z http.https://github.com/.extraheader 2025-09-07T11:07:05.9951286Z Entering 'third_party/protobuf' 2025-09-07T11:07:05.9982284Z http.https://github.com/.extraheader 2025-09-07T11:07:06.0012724Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T11:07:06.0043556Z http.https://github.com/.extraheader 2025-09-07T11:07:06.0070097Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T11:07:06.0097020Z http.https://github.com/.extraheader 2025-09-07T11:07:06.0124833Z Entering 'third_party/psimd' 2025-09-07T11:07:06.0153281Z http.https://github.com/.extraheader 2025-09-07T11:07:06.0179301Z Entering 'third_party/pthreadpool' 2025-09-07T11:07:06.0212278Z http.https://github.com/.extraheader 2025-09-07T11:07:06.0240008Z Entering 'third_party/pybind11' 2025-09-07T11:07:06.0274346Z http.https://github.com/.extraheader 2025-09-07T11:07:06.0300651Z Entering 'third_party/python-peachpy' 2025-09-07T11:07:06.0331495Z http.https://github.com/.extraheader 2025-09-07T11:07:06.0359743Z Entering 'third_party/sleef' 2025-09-07T11:07:06.0388526Z http.https://github.com/.extraheader 2025-09-07T11:07:06.0414140Z Entering 'third_party/tensorpipe' 2025-09-07T11:07:06.0443821Z http.https://github.com/.extraheader 2025-09-07T11:07:06.0472129Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T11:07:06.0502506Z http.https://github.com/.extraheader 2025-09-07T11:07:06.0528621Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T11:07:06.0556199Z http.https://github.com/.extraheader 2025-09-07T11:07:06.0581553Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T11:07:06.0608640Z http.https://github.com/.extraheader 2025-09-07T11:07:06.0632808Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T11:07:06.0663470Z http.https://github.com/.extraheader 2025-09-07T11:07:06.0689195Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T11:07:06.0719613Z http.https://github.com/.extraheader 2025-09-07T11:07:06.0817010Z A job completed hook has been configured by the self-hosted runner administrator 2025-09-07T11:07:06.0829002Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh' 2025-09-07T11:07:06.0832229Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:07:06.0832501Z ##[endgroup] 2025-09-07T11:07:06.0906851Z [!ALERT!] Swap in detected! [!ALERT!] 2025-09-07T11:07:13.3826867Z [!ALERT!] Swap out detected [!ALERT!] 2025-09-07T11:07:25.7827026Z Cleaning up orphan processes