2025-08-14T21:16:56.5957035Z Current runner version: '2.328.0' 2025-08-14T21:16:56.5963028Z Runner name: 'i-0bc2e2e8e8ade6829' 2025-08-14T21:16:56.5963749Z Runner group name: 'default' 2025-08-14T21:16:56.5964599Z Machine name: 'ip-10-0-52-11' 2025-08-14T21:16:56.5967098Z ##[group]GITHUB_TOKEN Permissions 2025-08-14T21:16:56.5969521Z Contents: read 2025-08-14T21:16:56.5970118Z Metadata: read 2025-08-14T21:16:56.5970578Z ##[endgroup] 2025-08-14T21:16:56.5972701Z Secret source: Actions 2025-08-14T21:16:56.5973317Z Prepare workflow directory 2025-08-14T21:16:56.6422831Z Prepare all required actions 2025-08-14T21:16:56.6460642Z Getting action download info 2025-08-14T21:16:56.9915576Z Download action repository 'pytorch/test-infra@main' (SHA:83f58f391e939c10dcb8cb6d745e4cefa3b98a84) 2025-08-14T21:16:59.2463251Z Download action repository 'pytorch/pytorch@main' (SHA:3be70dc30e893b552fc0f23ca06cd8f7949b6d08) 2025-08-14T21:17:15.2300361Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-08-14T21:17:15.5771876Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-08-14T21:17:15.8195273Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-08-14T21:17:16.0290043Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-08-14T21:17:16.3283226Z Getting action download info 2025-08-14T21:17:16.4434956Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-08-14T21:17:16.7231018Z Getting action download info 2025-08-14T21:17:16.8960798Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-08-14T21:17:17.1633043Z Getting action download info 2025-08-14T21:17:17.2865220Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-08-14T21:17:17.6030318Z Getting action download info 2025-08-14T21:17:17.7199762Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (1fc683cf17c8c673044538d10266c00f92987be2) 2025-08-14T21:17:17.7203423Z ##[group] Inputs 2025-08-14T21:17:17.7203782Z build-environment: linux-jammy-py3.9-gcc11-build 2025-08-14T21:17:17.7205805Z test-matrix: {"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]} 2025-08-14T21:17:17.7207958Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:17:17.7208619Z sync-tag: 2025-08-14T21:17:17.7209386Z timeout-minutes: 240 2025-08-14T21:17:17.7209654Z use-gha: 2025-08-14T21:17:17.7209904Z dashboard-tag: 2025-08-14T21:17:17.7210144Z s3-bucket: gha-artifacts 2025-08-14T21:17:17.7210427Z aws-role-to-assume: 2025-08-14T21:17:17.7210904Z disable-monitor: false 2025-08-14T21:17:17.7211230Z monitor-log-interval: 5 2025-08-14T21:17:17.7211763Z monitor-data-collect-interval: 1 2025-08-14T21:17:17.7212160Z ##[endgroup] 2025-08-14T21:17:17.7212636Z Complete job name: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 1, 2, linux.8xlarge.amx) 2025-08-14T21:17:17.7730678Z A job started hook has been configured by the self-hosted runner administrator 2025-08-14T21:17:17.7815552Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-08-14T21:17:17.7823327Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:17:17.7823836Z ##[endgroup] 2025-08-14T21:17:18.8677705Z Runner Type: linux.8xlarge.amx 2025-08-14T21:17:18.8678258Z Instance Type: m7i-flex.8xlarge 2025-08-14T21:17:18.8678630Z AMI Name: unknown 2025-08-14T21:17:18.8720586Z AMI ID: ami-05ffe3c48a9991133 2025-08-14T21:17:23.5783928Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-08-14T21:17:23.5784364Z with: 2025-08-14T21:17:23.5785155Z github-secret: *** 2025-08-14T21:17:23.5785716Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-08-14T21:17:23.5786299Z activate-with-label: false 2025-08-14T21:17:23.5786589Z label: with-ssh 2025-08-14T21:17:23.5786829Z remove-existing-keys: true 2025-08-14T21:17:23.5787107Z fail-silently: true 2025-08-14T21:17:23.5787360Z env: 2025-08-14T21:17:23.5787620Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:17:23.5787868Z ##[endgroup] 2025-08-14T21:17:23.7065412Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-08-14T21:17:23.7066291Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-08-14T21:17:23.7323458Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-08-14T21:17:23.7323818Z with: 2025-08-14T21:17:23.7324003Z no-sudo: true 2025-08-14T21:17:23.7324199Z submodules: recursive 2025-08-14T21:17:23.7324400Z fetch-depth: 0 2025-08-14T21:17:23.7324584Z env: 2025-08-14T21:17:23.7324755Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:17:23.7324966Z ##[endgroup] 2025-08-14T21:17:23.7411765Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:17:23.7412398Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:17:23.7420888Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:17:23.7421143Z env: 2025-08-14T21:17:23.7421337Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:17:23.7421553Z ##[endgroup] 2025-08-14T21:17:23.7517688Z ##[group]Run # Use all available CPUs for fetching 2025-08-14T21:17:23.7518041Z # Use all available CPUs for fetching 2025-08-14T21:17:23.7518263Z cd "${GITHUB_WORKSPACE}" 2025-08-14T21:17:23.7518501Z git config --global fetch.parallel 0 2025-08-14T21:17:23.7518765Z git config --global submodule.fetchJobs 0 2025-08-14T21:17:23.7518991Z  2025-08-14T21:17:23.7519246Z # Clean workspace. The default checkout action should also do this, but 2025-08-14T21:17:23.7519550Z # do it here as well just in case 2025-08-14T21:17:23.7519783Z if [[ -d .git ]]; then 2025-08-14T21:17:23.7519994Z  if [ -z "${NO_SUDO}" ]; then 2025-08-14T21:17:23.7520218Z  sudo git clean -ffdx 2025-08-14T21:17:23.7520424Z  else 2025-08-14T21:17:23.7520598Z  git clean -ffdx 2025-08-14T21:17:23.7520791Z  fi 2025-08-14T21:17:23.7520994Z fi 2025-08-14T21:17:23.7526361Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:17:23.7526639Z env: 2025-08-14T21:17:23.7526817Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:17:23.7527020Z NO_SUDO: true 2025-08-14T21:17:23.7527312Z ##[endgroup] 2025-08-14T21:17:23.7653121Z ##[group]Run actions/checkout@v4 2025-08-14T21:17:23.7653378Z with: 2025-08-14T21:17:23.7653586Z ref: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:17:23.7654010Z fetch-depth: 0 2025-08-14T21:17:23.7654198Z submodules: recursive 2025-08-14T21:17:23.7654410Z show-progress: false 2025-08-14T21:17:23.7654624Z repository: pytorch/pytorch 2025-08-14T21:17:23.7654961Z token: *** 2025-08-14T21:17:23.7655137Z ssh-strict: true 2025-08-14T21:17:23.7655324Z ssh-user: git 2025-08-14T21:17:23.7655522Z persist-credentials: true 2025-08-14T21:17:23.7655727Z clean: true 2025-08-14T21:17:23.7655925Z sparse-checkout-cone-mode: true 2025-08-14T21:17:23.7656155Z fetch-tags: false 2025-08-14T21:17:23.7656346Z lfs: false 2025-08-14T21:17:23.7656541Z set-safe-directory: true 2025-08-14T21:17:23.7656759Z env: 2025-08-14T21:17:23.7656922Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:17:23.7657116Z ##[endgroup] 2025-08-14T21:17:23.8694719Z Syncing repository: pytorch/pytorch 2025-08-14T21:17:23.8695920Z ##[group]Getting Git version info 2025-08-14T21:17:23.8696259Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-08-14T21:17:23.8696760Z [command]/usr/bin/git version 2025-08-14T21:17:23.8918221Z git version 2.47.1 2025-08-14T21:17:23.8938349Z ##[endgroup] 2025-08-14T21:17:23.8947844Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/2671b7cd-623e-4a70-92cc-c6f3cddf7950/.gitconfig' 2025-08-14T21:17:23.8985738Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/2671b7cd-623e-4a70-92cc-c6f3cddf7950' before making global git config changes 2025-08-14T21:17:23.8987463Z Adding repository directory to the temporary git global config as a safe directory 2025-08-14T21:17:23.8992661Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:17:23.9045476Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-08-14T21:17:23.9055798Z ##[group]Initializing the repository 2025-08-14T21:17:23.9061050Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:17:23.9120874Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-08-14T21:17:23.9121553Z hint: is subject to change. To configure the initial branch name to use in all 2025-08-14T21:17:23.9123025Z hint: of your new repositories, which will suppress this warning, call: 2025-08-14T21:17:23.9123664Z hint: 2025-08-14T21:17:23.9123995Z hint: git config --global init.defaultBranch 2025-08-14T21:17:23.9124273Z hint: 2025-08-14T21:17:23.9124557Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-08-14T21:17:23.9124986Z hint: 'development'. The just-created branch can be renamed via this command: 2025-08-14T21:17:23.9125282Z hint: 2025-08-14T21:17:23.9125455Z hint: git branch -m 2025-08-14T21:17:23.9140729Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-08-14T21:17:23.9157228Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-08-14T21:17:23.9217682Z ##[endgroup] 2025-08-14T21:17:23.9218377Z ##[group]Disabling automatic garbage collection 2025-08-14T21:17:23.9218886Z [command]/usr/bin/git config --local gc.auto 0 2025-08-14T21:17:23.9243876Z ##[endgroup] 2025-08-14T21:17:23.9244254Z ##[group]Setting up auth 2025-08-14T21:17:23.9251714Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-08-14T21:17:23.9291598Z [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' || :" 2025-08-14T21:17:23.9694652Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-08-14T21:17:23.9722611Z [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' || :" 2025-08-14T21:17:24.0095395Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-08-14T21:17:24.0159909Z ##[endgroup] 2025-08-14T21:17:24.0160504Z ##[group]Fetching the repository 2025-08-14T21:17:24.0166191Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-08-14T21:18:09.5965501Z From https://github.com/pytorch/pytorch 2025-08-14T21:18:09.5965926Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-08-14T21:18:09.5966694Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-08-14T21:18:09.5967315Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-08-14T21:18:09.5967941Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-08-14T21:18:09.5968623Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-08-14T21:18:09.5969290Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-08-14T21:18:09.5969879Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-08-14T21:18:09.5970381Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-08-14T21:18:09.5974107Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-08-14T21:18:09.5978025Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-08-14T21:18:09.5979106Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-08-14T21:18:09.5979559Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-08-14T21:18:09.5980042Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-08-14T21:18:09.5980422Z * [new branch] addVllmPin -> origin/addVllmPin 2025-08-14T21:18:09.5980804Z * [new branch] add_windows_testing_back -> origin/add_windows_testing_back 2025-08-14T21:18:09.5981177Z * [new branch] addbuildvllm -> origin/addbuildvllm 2025-08-14T21:18:09.5981552Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-08-14T21:18:09.5981896Z * [new branch] addsimde -> origin/addsimde 2025-08-14T21:18:09.5982247Z * [new branch] addvllpinnedfile -> origin/addvllpinnedfile 2025-08-14T21:18:09.5982619Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-08-14T21:18:09.5983030Z * [new branch] adi/skip_slow_tests -> origin/adi/skip_slow_tests 2025-08-14T21:18:09.5983516Z * [new branch] adi/test -> origin/adi/test 2025-08-14T21:18:09.5983843Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-08-14T21:18:09.5984191Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-08-14T21:18:09.5984552Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-08-14T21:18:09.5985121Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-08-14T21:18:09.5985630Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-08-14T21:18:09.5986029Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-08-14T21:18:09.5986661Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-08-14T21:18:09.5987065Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-08-14T21:18:09.5987441Z * [new branch] albanD-patch-1 -> origin/albanD-patch-1 2025-08-14T21:18:09.5987780Z * [new branch] alt-disable -> origin/alt-disable 2025-08-14T21:18:09.5988285Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-08-14T21:18:09.5988708Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-08-14T21:18:09.5989348Z * [new branch] angelayi/assert_tensor_metadata_device -> origin/angelayi/assert_tensor_metadata_device 2025-08-14T21:18:09.5989969Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-08-14T21:18:09.5991033Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-08-14T21:18:09.5991599Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-08-14T21:18:09.5992281Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-08-14T21:18:09.5992851Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 2025-08-14T21:18:09.5994175Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-08-14T21:18:09.5994697Z * [new branch] angelayi/del_lib -> origin/angelayi/del_lib 2025-08-14T21:18:09.5995224Z 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2025-08-14T21:18:09.9839524Z * [new branch] zainr/unstable-xla -> origin/zainr/unstable-xla 2025-08-14T21:18:09.9839666Z * [new branch] zainr/uv-pip-fix -> origin/zainr/uv-pip-fix 2025-08-14T21:18:09.9839802Z * [new branch] zainr/vs-aarch64 -> origin/zainr/vs-aarch64 2025-08-14T21:18:09.9839955Z * [new branch] zasdfgbnm-patch-3 -> origin/zasdfgbnm-patch-3 2025-08-14T21:18:09.9840942Z * [new branch] zb2p -> origin/zb2p 2025-08-14T21:18:09.9841386Z * [new branch] zdevito-patch-1 -> origin/zdevito-patch-1 2025-08-14T21:18:09.9842481Z * [new branch] zeros-and-scatter-part2 -> origin/zeros-and-scatter-part2 2025-08-14T21:18:09.9844254Z * [new branch] zhxchen17/nativert/0 -> origin/zhxchen17/nativert/0 2025-08-14T21:18:09.9845073Z * [new branch] zhxchen17/scratch/0 -> origin/zhxchen17/scratch/0 2025-08-14T21:18:09.9846368Z * [new branch] zhxhcen17/moodycamel -> origin/zhxhcen17/moodycamel 2025-08-14T21:18:09.9850028Z * [new branch] zxiiro/bazel -> origin/zxiiro/bazel 2025-08-14T21:18:09.9850394Z * [new branch] zxiiro/get-hardware -> origin/zxiiro/get-hardware 2025-08-14T21:18:09.9850594Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-08-14T21:18:09.9857310Z * [new branch] zxiiro/test -> origin/zxiiro/test 2025-08-14T21:18:09.9861998Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-08-14T21:18:09.9863542Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-08-14T21:18:09.9863703Z * [new tag] ciflow/binaries/138996 -> ciflow/binaries/138996 2025-08-14T21:18:09.9863833Z * [new tag] ciflow/binaries/143959 -> ciflow/binaries/143959 2025-08-14T21:18:09.9863950Z * [new tag] ciflow/binaries/154595 -> ciflow/binaries/154595 2025-08-14T21:18:09.9864079Z * [new tag] ciflow/binaries/156049 -> ciflow/binaries/156049 2025-08-14T21:18:09.9864200Z * [new tag] ciflow/binaries/156712 -> ciflow/binaries/156712 2025-08-14T21:18:09.9864312Z * [new tag] ciflow/binaries/157432 -> ciflow/binaries/157432 2025-08-14T21:18:09.9864425Z * [new tag] ciflow/binaries/157685 -> ciflow/binaries/157685 2025-08-14T21:18:09.9864549Z * [new tag] ciflow/binaries/157689 -> ciflow/binaries/157689 2025-08-14T21:18:09.9864660Z * [new tag] ciflow/binaries/158104 -> ciflow/binaries/158104 2025-08-14T21:18:09.9864779Z * [new tag] ciflow/binaries/158623 -> ciflow/binaries/158623 2025-08-14T21:18:09.9864891Z * [new tag] ciflow/binaries/159827 -> ciflow/binaries/159827 2025-08-14T21:18:09.9865003Z * [new tag] ciflow/binaries/159869 -> ciflow/binaries/159869 2025-08-14T21:18:09.9865126Z * [new tag] ciflow/binaries/160593 -> ciflow/binaries/160593 2025-08-14T21:18:09.9865278Z * [new tag] ciflow/binaries_libtorch/143959 -> ciflow/binaries_libtorch/143959 2025-08-14T21:18:09.9865426Z * [new tag] ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049 2025-08-14T21:18:09.9865567Z * [new tag] ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432 2025-08-14T21:18:09.9865932Z * [new tag] ciflow/binaries_wheel/143959 -> ciflow/binaries_wheel/143959 2025-08-14T21:18:09.9866072Z * [new tag] ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049 2025-08-14T21:18:09.9866202Z * [new tag] ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432 2025-08-14T21:18:09.9866340Z * [new tag] ciflow/binaries_wheel/158733 -> ciflow/binaries_wheel/158733 2025-08-14T21:18:09.9866468Z * [new tag] ciflow/binaries_wheel/160301 -> ciflow/binaries_wheel/160301 2025-08-14T21:18:09.9866599Z * [new tag] ciflow/binaries_wheel/160496 -> ciflow/binaries_wheel/160496 2025-08-14T21:18:09.9866755Z * [new tag] ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703 2025-08-14T21:18:09.9866885Z * [new tag] ciflow/h100-symm-mem/151845 -> ciflow/h100-symm-mem/151845 2025-08-14T21:18:09.9867017Z * [new tag] ciflow/h100-symm-mem/155923 -> ciflow/h100-symm-mem/155923 2025-08-14T21:18:09.9867144Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-08-14T21:18:09.9867270Z * [new tag] ciflow/h100-symm-mem/159118 -> ciflow/h100-symm-mem/159118 2025-08-14T21:18:09.9867402Z * [new tag] ciflow/h100-symm-mem/159562 -> ciflow/h100-symm-mem/159562 2025-08-14T21:18:09.9867523Z * [new tag] ciflow/h100-symm-mem/159889 -> ciflow/h100-symm-mem/159889 2025-08-14T21:18:09.9867653Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-08-14T21:18:09.9867847Z * [new tag] ciflow/h100/160450 -> ciflow/h100/160450 2025-08-14T21:18:09.9867961Z * [new tag] ciflow/h100/160480 -> ciflow/h100/160480 2025-08-14T21:18:09.9868238Z * [new tag] ciflow/h100/160614 -> ciflow/h100/160614 2025-08-14T21:18:09.9868504Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/151845 -> ciflow/inductor-perf-test-nightly-rocm/151845 2025-08-14T21:18:09.9869036Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/160538 -> ciflow/inductor-perf-test-nightly-rocm/160538 2025-08-14T21:18:09.9870688Z * [new tag] ciflow/inductor-perf-test-nightly-x86-zen/156599 -> ciflow/inductor-perf-test-nightly-x86-zen/156599 2025-08-14T21:18:09.9870913Z * [new tag] ciflow/inductor-periodic/160406 -> ciflow/inductor-periodic/160406 2025-08-14T21:18:09.9871125Z * [new tag] ciflow/inductor-periodic/160538 -> ciflow/inductor-periodic/160538 2025-08-14T21:18:09.9872531Z * [new tag] ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845 2025-08-14T21:18:09.9872696Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-08-14T21:18:09.9872842Z * [new tag] ciflow/inductor-rocm/160073 -> ciflow/inductor-rocm/160073 2025-08-14T21:18:09.9873005Z * [new tag] ciflow/inductor-rocm/160538 -> ciflow/inductor-rocm/160538 2025-08-14T21:18:09.9873510Z * [new tag] ciflow/inductor/134881 -> ciflow/inductor/134881 2025-08-14T21:18:09.9873858Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-08-14T21:18:09.9874284Z * [new tag] ciflow/inductor/144516 -> ciflow/inductor/144516 2025-08-14T21:18:09.9874698Z * [new tag] ciflow/inductor/146506 -> ciflow/inductor/146506 2025-08-14T21:18:09.9875078Z * [new tag] ciflow/inductor/147360 -> ciflow/inductor/147360 2025-08-14T21:18:09.9875508Z * [new tag] ciflow/inductor/147990 -> ciflow/inductor/147990 2025-08-14T21:18:09.9877351Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-08-14T21:18:09.9877511Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-08-14T21:18:09.9877786Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-08-14T21:18:09.9877915Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-08-14T21:18:09.9878035Z * [new tag] ciflow/inductor/150302 -> ciflow/inductor/150302 2025-08-14T21:18:09.9878408Z * [new tag] ciflow/inductor/151845 -> ciflow/inductor/151845 2025-08-14T21:18:09.9879493Z * [new tag] ciflow/inductor/152198 -> ciflow/inductor/152198 2025-08-14T21:18:09.9879694Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-08-14T21:18:09.9880113Z * [new tag] ciflow/inductor/153966 -> ciflow/inductor/153966 2025-08-14T21:18:09.9880542Z * [new tag] ciflow/inductor/154193 -> ciflow/inductor/154193 2025-08-14T21:18:09.9883410Z * [new tag] ciflow/inductor/154650 -> ciflow/inductor/154650 2025-08-14T21:18:09.9883587Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-08-14T21:18:09.9883733Z * [new tag] ciflow/inductor/155072 -> ciflow/inductor/155072 2025-08-14T21:18:09.9883871Z * [new tag] ciflow/inductor/155152 -> ciflow/inductor/155152 2025-08-14T21:18:09.9884008Z * [new tag] ciflow/inductor/155153 -> ciflow/inductor/155153 2025-08-14T21:18:09.9884127Z * [new tag] ciflow/inductor/155154 -> ciflow/inductor/155154 2025-08-14T21:18:09.9884260Z * [new tag] ciflow/inductor/155501 -> ciflow/inductor/155501 2025-08-14T21:18:09.9884529Z * [new tag] ciflow/inductor/155502 -> ciflow/inductor/155502 2025-08-14T21:18:09.9884968Z * [new tag] ciflow/inductor/155503 -> ciflow/inductor/155503 2025-08-14T21:18:09.9885384Z * [new tag] ciflow/inductor/155504 -> ciflow/inductor/155504 2025-08-14T21:18:09.9885870Z * [new tag] ciflow/inductor/155557 -> ciflow/inductor/155557 2025-08-14T21:18:09.9886267Z * [new tag] ciflow/inductor/155608 -> ciflow/inductor/155608 2025-08-14T21:18:09.9886854Z * [new tag] ciflow/inductor/155923 -> ciflow/inductor/155923 2025-08-14T21:18:09.9887226Z * [new tag] ciflow/inductor/155928 -> ciflow/inductor/155928 2025-08-14T21:18:09.9887857Z * [new tag] ciflow/inductor/155958 -> ciflow/inductor/155958 2025-08-14T21:18:09.9888212Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-08-14T21:18:09.9891915Z * [new tag] ciflow/inductor/156851 -> ciflow/inductor/156851 2025-08-14T21:18:09.9892073Z * [new tag] ciflow/inductor/156967 -> ciflow/inductor/156967 2025-08-14T21:18:09.9892196Z * [new tag] ciflow/inductor/157148 -> ciflow/inductor/157148 2025-08-14T21:18:09.9892319Z * [new tag] ciflow/inductor/157149 -> ciflow/inductor/157149 2025-08-14T21:18:09.9892446Z * [new tag] ciflow/inductor/157152 -> ciflow/inductor/157152 2025-08-14T21:18:09.9892575Z * [new tag] ciflow/inductor/157542 -> ciflow/inductor/157542 2025-08-14T21:18:09.9892690Z * [new tag] ciflow/inductor/157572 -> ciflow/inductor/157572 2025-08-14T21:18:09.9892803Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-08-14T21:18:09.9892932Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-08-14T21:18:09.9893247Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-08-14T21:18:09.9893486Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-08-14T21:18:09.9894069Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-08-14T21:18:09.9894563Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-08-14T21:18:09.9894955Z * [new tag] ciflow/inductor/157944 -> ciflow/inductor/157944 2025-08-14T21:18:09.9895409Z * [new tag] ciflow/inductor/157971 -> ciflow/inductor/157971 2025-08-14T21:18:09.9899469Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-08-14T21:18:09.9899630Z * [new tag] ciflow/inductor/158061 -> ciflow/inductor/158061 2025-08-14T21:18:09.9899752Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-08-14T21:18:09.9899885Z * [new tag] ciflow/inductor/158097 -> ciflow/inductor/158097 2025-08-14T21:18:09.9900010Z * [new tag] ciflow/inductor/158098 -> ciflow/inductor/158098 2025-08-14T21:18:09.9900125Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-08-14T21:18:09.9900247Z * [new tag] ciflow/inductor/158168 -> ciflow/inductor/158168 2025-08-14T21:18:09.9900370Z * [new tag] ciflow/inductor/158250 -> ciflow/inductor/158250 2025-08-14T21:18:09.9900489Z * [new tag] ciflow/inductor/158321 -> ciflow/inductor/158321 2025-08-14T21:18:09.9900612Z * [new tag] ciflow/inductor/158609 -> ciflow/inductor/158609 2025-08-14T21:18:09.9900918Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-08-14T21:18:09.9901242Z * [new tag] ciflow/inductor/158914 -> ciflow/inductor/158914 2025-08-14T21:18:09.9902171Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-08-14T21:18:09.9902297Z * [new tag] ciflow/inductor/158987 -> ciflow/inductor/158987 2025-08-14T21:18:09.9902719Z * [new tag] ciflow/inductor/159009 -> ciflow/inductor/159009 2025-08-14T21:18:09.9903188Z * [new tag] ciflow/inductor/159010 -> ciflow/inductor/159010 2025-08-14T21:18:09.9903675Z * [new tag] ciflow/inductor/159093 -> ciflow/inductor/159093 2025-08-14T21:18:09.9904134Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-08-14T21:18:09.9904529Z * [new tag] ciflow/inductor/159197 -> ciflow/inductor/159197 2025-08-14T21:18:09.9907155Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-08-14T21:18:09.9907305Z * [new tag] ciflow/inductor/159281 -> ciflow/inductor/159281 2025-08-14T21:18:09.9907452Z * [new tag] ciflow/inductor/159329 -> ciflow/inductor/159329 2025-08-14T21:18:09.9907571Z * [new tag] ciflow/inductor/159361 -> ciflow/inductor/159361 2025-08-14T21:18:09.9907696Z * [new tag] ciflow/inductor/159365 -> ciflow/inductor/159365 2025-08-14T21:18:09.9907815Z * [new tag] ciflow/inductor/159366 -> ciflow/inductor/159366 2025-08-14T21:18:09.9907986Z * [new tag] ciflow/inductor/159367 -> ciflow/inductor/159367 2025-08-14T21:18:09.9908321Z * [new tag] ciflow/inductor/159368 -> ciflow/inductor/159368 2025-08-14T21:18:09.9909059Z * [new tag] ciflow/inductor/159473 -> ciflow/inductor/159473 2025-08-14T21:18:09.9909332Z * [new tag] ciflow/inductor/159483 -> ciflow/inductor/159483 2025-08-14T21:18:09.9909805Z * [new tag] ciflow/inductor/159508 -> ciflow/inductor/159508 2025-08-14T21:18:09.9910223Z * [new tag] ciflow/inductor/159523 -> ciflow/inductor/159523 2025-08-14T21:18:09.9910674Z * [new tag] ciflow/inductor/159678 -> ciflow/inductor/159678 2025-08-14T21:18:09.9914119Z * [new tag] ciflow/inductor/159691 -> ciflow/inductor/159691 2025-08-14T21:18:09.9914277Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-08-14T21:18:09.9914400Z * [new tag] ciflow/inductor/159786 -> ciflow/inductor/159786 2025-08-14T21:18:09.9914682Z * [new tag] ciflow/inductor/159817 -> ciflow/inductor/159817 2025-08-14T21:18:09.9914802Z * [new tag] ciflow/inductor/159842 -> ciflow/inductor/159842 2025-08-14T21:18:09.9914927Z * [new tag] ciflow/inductor/159864 -> ciflow/inductor/159864 2025-08-14T21:18:09.9915048Z * [new tag] ciflow/inductor/159865 -> ciflow/inductor/159865 2025-08-14T21:18:09.9915173Z * [new tag] ciflow/inductor/159869 -> ciflow/inductor/159869 2025-08-14T21:18:09.9915311Z * [new tag] ciflow/inductor/159875 -> ciflow/inductor/159875 2025-08-14T21:18:09.9915434Z * [new tag] ciflow/inductor/159889 -> ciflow/inductor/159889 2025-08-14T21:18:09.9915856Z * [new tag] ciflow/inductor/159902 -> ciflow/inductor/159902 2025-08-14T21:18:09.9916421Z * [new tag] ciflow/inductor/159923 -> ciflow/inductor/159923 2025-08-14T21:18:09.9916901Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-08-14T21:18:09.9917328Z * [new tag] ciflow/inductor/160004 -> ciflow/inductor/160004 2025-08-14T21:18:09.9917774Z * [new tag] ciflow/inductor/160080 -> ciflow/inductor/160080 2025-08-14T21:18:09.9918232Z * [new tag] ciflow/inductor/160108 -> ciflow/inductor/160108 2025-08-14T21:18:09.9918765Z * [new tag] ciflow/inductor/160109 -> ciflow/inductor/160109 2025-08-14T21:18:09.9919752Z * [new tag] ciflow/inductor/160111 -> ciflow/inductor/160111 2025-08-14T21:18:09.9920136Z * [new tag] ciflow/inductor/160113 -> ciflow/inductor/160113 2025-08-14T21:18:09.9920546Z * [new tag] ciflow/inductor/160127 -> ciflow/inductor/160127 2025-08-14T21:18:09.9923398Z * [new tag] ciflow/inductor/160131 -> ciflow/inductor/160131 2025-08-14T21:18:09.9923743Z * [new tag] ciflow/inductor/160132 -> ciflow/inductor/160132 2025-08-14T21:18:09.9923883Z * [new tag] ciflow/inductor/160136 -> ciflow/inductor/160136 2025-08-14T21:18:09.9924012Z * [new tag] ciflow/inductor/160138 -> ciflow/inductor/160138 2025-08-14T21:18:09.9924149Z * [new tag] ciflow/inductor/160151 -> ciflow/inductor/160151 2025-08-14T21:18:09.9924279Z * [new tag] ciflow/inductor/160152 -> ciflow/inductor/160152 2025-08-14T21:18:09.9924423Z * [new tag] ciflow/inductor/160154 -> ciflow/inductor/160154 2025-08-14T21:18:09.9927965Z * [new tag] ciflow/inductor/160156 -> ciflow/inductor/160156 2025-08-14T21:18:09.9928124Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-08-14T21:18:09.9928268Z * [new tag] ciflow/inductor/160166 -> ciflow/inductor/160166 2025-08-14T21:18:09.9928417Z * [new tag] ciflow/inductor/160168 -> ciflow/inductor/160168 2025-08-14T21:18:09.9928554Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-08-14T21:18:09.9928679Z * [new tag] ciflow/inductor/160181 -> ciflow/inductor/160181 2025-08-14T21:18:09.9928806Z * [new tag] ciflow/inductor/160183 -> ciflow/inductor/160183 2025-08-14T21:18:09.9928940Z * [new tag] ciflow/inductor/160190 -> ciflow/inductor/160190 2025-08-14T21:18:09.9933728Z * [new tag] ciflow/inductor/160198 -> ciflow/inductor/160198 2025-08-14T21:18:09.9935983Z * [new tag] ciflow/inductor/160201 -> ciflow/inductor/160201 2025-08-14T21:18:09.9942554Z * [new tag] ciflow/inductor/160209 -> ciflow/inductor/160209 2025-08-14T21:18:09.9942867Z * [new tag] ciflow/inductor/160218 -> ciflow/inductor/160218 2025-08-14T21:18:09.9943301Z * [new tag] ciflow/inductor/160239 -> ciflow/inductor/160239 2025-08-14T21:18:09.9943447Z * [new tag] ciflow/inductor/160250 -> ciflow/inductor/160250 2025-08-14T21:18:09.9943587Z * [new tag] ciflow/inductor/160253 -> ciflow/inductor/160253 2025-08-14T21:18:09.9943801Z * [new tag] ciflow/inductor/160266 -> ciflow/inductor/160266 2025-08-14T21:18:09.9944520Z * [new tag] ciflow/inductor/160282 -> ciflow/inductor/160282 2025-08-14T21:18:09.9944978Z * [new tag] ciflow/inductor/160298 -> ciflow/inductor/160298 2025-08-14T21:18:09.9945119Z * [new tag] ciflow/inductor/160301 -> ciflow/inductor/160301 2025-08-14T21:18:09.9945266Z * [new tag] ciflow/inductor/160310 -> ciflow/inductor/160310 2025-08-14T21:18:09.9945403Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-08-14T21:18:09.9945534Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-08-14T21:18:09.9945659Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-08-14T21:18:09.9945789Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-08-14T21:18:09.9945912Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-08-14T21:18:09.9946042Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-08-14T21:18:09.9946284Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-08-14T21:18:09.9946411Z * [new tag] ciflow/inductor/160351 -> ciflow/inductor/160351 2025-08-14T21:18:09.9946546Z * [new tag] ciflow/inductor/160353 -> ciflow/inductor/160353 2025-08-14T21:18:09.9946669Z * [new tag] ciflow/inductor/160362 -> ciflow/inductor/160362 2025-08-14T21:18:09.9946802Z * [new tag] ciflow/inductor/160363 -> ciflow/inductor/160363 2025-08-14T21:18:09.9946938Z * [new tag] ciflow/inductor/160364 -> ciflow/inductor/160364 2025-08-14T21:18:09.9947064Z * [new tag] ciflow/inductor/160365 -> ciflow/inductor/160365 2025-08-14T21:18:09.9947195Z * [new tag] ciflow/inductor/160366 -> ciflow/inductor/160366 2025-08-14T21:18:09.9947317Z * [new tag] ciflow/inductor/160367 -> ciflow/inductor/160367 2025-08-14T21:18:09.9947441Z * [new tag] ciflow/inductor/160368 -> ciflow/inductor/160368 2025-08-14T21:18:09.9947575Z * [new tag] ciflow/inductor/160369 -> ciflow/inductor/160369 2025-08-14T21:18:09.9947699Z * [new tag] ciflow/inductor/160371 -> ciflow/inductor/160371 2025-08-14T21:18:09.9947828Z * [new tag] ciflow/inductor/160374 -> ciflow/inductor/160374 2025-08-14T21:18:09.9947959Z * [new tag] ciflow/inductor/160375 -> ciflow/inductor/160375 2025-08-14T21:18:09.9948084Z * [new tag] ciflow/inductor/160377 -> ciflow/inductor/160377 2025-08-14T21:18:09.9948214Z * [new tag] ciflow/inductor/160380 -> ciflow/inductor/160380 2025-08-14T21:18:09.9948336Z * [new tag] ciflow/inductor/160381 -> ciflow/inductor/160381 2025-08-14T21:18:09.9948466Z * [new tag] ciflow/inductor/160383 -> ciflow/inductor/160383 2025-08-14T21:18:09.9948590Z * [new tag] ciflow/inductor/160394 -> ciflow/inductor/160394 2025-08-14T21:18:09.9948716Z * [new tag] ciflow/inductor/160401 -> ciflow/inductor/160401 2025-08-14T21:18:09.9948850Z * [new tag] ciflow/inductor/160402 -> ciflow/inductor/160402 2025-08-14T21:18:09.9952921Z * [new tag] ciflow/inductor/160403 -> ciflow/inductor/160403 2025-08-14T21:18:09.9953248Z * [new tag] ciflow/inductor/160424 -> ciflow/inductor/160424 2025-08-14T21:18:09.9953734Z * [new tag] ciflow/inductor/160426 -> ciflow/inductor/160426 2025-08-14T21:18:09.9953885Z * [new tag] ciflow/inductor/160431 -> ciflow/inductor/160431 2025-08-14T21:18:09.9954026Z * [new tag] ciflow/inductor/160448 -> ciflow/inductor/160448 2025-08-14T21:18:09.9954295Z * [new tag] ciflow/inductor/160450 -> ciflow/inductor/160450 2025-08-14T21:18:09.9955002Z * [new tag] ciflow/inductor/160455 -> ciflow/inductor/160455 2025-08-14T21:18:09.9955182Z * [new tag] ciflow/inductor/160456 -> ciflow/inductor/160456 2025-08-14T21:18:09.9955403Z * [new tag] ciflow/inductor/160461 -> ciflow/inductor/160461 2025-08-14T21:18:09.9955533Z * [new tag] ciflow/inductor/160462 -> ciflow/inductor/160462 2025-08-14T21:18:09.9955674Z * [new tag] ciflow/inductor/160467 -> ciflow/inductor/160467 2025-08-14T21:18:09.9955813Z * [new tag] ciflow/inductor/160470 -> ciflow/inductor/160470 2025-08-14T21:18:09.9955936Z * [new tag] ciflow/inductor/160473 -> ciflow/inductor/160473 2025-08-14T21:18:09.9956066Z * [new tag] ciflow/inductor/160476 -> ciflow/inductor/160476 2025-08-14T21:18:09.9956186Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-08-14T21:18:09.9956308Z * [new tag] ciflow/inductor/160481 -> ciflow/inductor/160481 2025-08-14T21:18:09.9956533Z * [new tag] ciflow/inductor/160482 -> ciflow/inductor/160482 2025-08-14T21:18:09.9956669Z * [new tag] ciflow/inductor/160483 -> ciflow/inductor/160483 2025-08-14T21:18:09.9956809Z * [new tag] ciflow/inductor/160485 -> ciflow/inductor/160485 2025-08-14T21:18:09.9957267Z * [new tag] ciflow/inductor/160486 -> ciflow/inductor/160486 2025-08-14T21:18:09.9957671Z * [new tag] ciflow/inductor/160503 -> ciflow/inductor/160503 2025-08-14T21:18:09.9958182Z * [new tag] ciflow/inductor/160510 -> ciflow/inductor/160510 2025-08-14T21:18:09.9958643Z * [new tag] ciflow/inductor/160527 -> ciflow/inductor/160527 2025-08-14T21:18:09.9959183Z * [new tag] ciflow/inductor/160530 -> ciflow/inductor/160530 2025-08-14T21:18:09.9959737Z * [new tag] ciflow/inductor/160531 -> ciflow/inductor/160531 2025-08-14T21:18:09.9960074Z * [new tag] ciflow/inductor/160538 -> ciflow/inductor/160538 2025-08-14T21:18:09.9961657Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-08-14T21:18:09.9962135Z * [new tag] ciflow/inductor/160540 -> ciflow/inductor/160540 2025-08-14T21:18:09.9962690Z * [new tag] ciflow/inductor/160548 -> ciflow/inductor/160548 2025-08-14T21:18:09.9963318Z * [new tag] ciflow/inductor/160561 -> ciflow/inductor/160561 2025-08-14T21:18:09.9964192Z * [new tag] ciflow/inductor/160576 -> ciflow/inductor/160576 2025-08-14T21:18:09.9964455Z * [new tag] ciflow/inductor/160578 -> ciflow/inductor/160578 2025-08-14T21:18:09.9965426Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-08-14T21:18:09.9965632Z * [new tag] ciflow/inductor/160583 -> ciflow/inductor/160583 2025-08-14T21:18:09.9966419Z * [new tag] ciflow/inductor/160589 -> ciflow/inductor/160589 2025-08-14T21:18:09.9966868Z * [new tag] ciflow/inductor/160590 -> ciflow/inductor/160590 2025-08-14T21:18:09.9967777Z * [new tag] ciflow/inductor/160592 -> ciflow/inductor/160592 2025-08-14T21:18:09.9968005Z * [new tag] ciflow/inductor/160596 -> ciflow/inductor/160596 2025-08-14T21:18:09.9968665Z * [new tag] ciflow/inductor/160601 -> ciflow/inductor/160601 2025-08-14T21:18:09.9969572Z * [new tag] ciflow/inductor/160607 -> ciflow/inductor/160607 2025-08-14T21:18:09.9969871Z * [new tag] ciflow/inductor/160608 -> ciflow/inductor/160608 2025-08-14T21:18:09.9970467Z * [new tag] ciflow/inductor/160611 -> ciflow/inductor/160611 2025-08-14T21:18:09.9970878Z * [new tag] ciflow/inductor/160614 -> ciflow/inductor/160614 2025-08-14T21:18:09.9971642Z * [new tag] ciflow/inductor/160616 -> ciflow/inductor/160616 2025-08-14T21:18:09.9971831Z * [new tag] ciflow/inductor/160619 -> ciflow/inductor/160619 2025-08-14T21:18:09.9972697Z * [new tag] ciflow/inductor/160625 -> ciflow/inductor/160625 2025-08-14T21:18:09.9972926Z * [new tag] ciflow/inductor/160635 -> ciflow/inductor/160635 2025-08-14T21:18:09.9973863Z * [new tag] ciflow/inductor/160649 -> ciflow/inductor/160649 2025-08-14T21:18:09.9974108Z * [new tag] ciflow/inductor/160658 -> ciflow/inductor/160658 2025-08-14T21:18:09.9974569Z * [new tag] ciflow/inductor/160662 -> ciflow/inductor/160662 2025-08-14T21:18:09.9974984Z * [new tag] ciflow/inductor/160668 -> ciflow/inductor/160668 2025-08-14T21:18:09.9975709Z * [new tag] ciflow/inductor/160669 -> ciflow/inductor/160669 2025-08-14T21:18:09.9975959Z * [new tag] ciflow/inductor/160670 -> ciflow/inductor/160670 2025-08-14T21:18:09.9977053Z * [new tag] ciflow/inductor/160671 -> ciflow/inductor/160671 2025-08-14T21:18:09.9977186Z * [new tag] ciflow/inductor/160677 -> ciflow/inductor/160677 2025-08-14T21:18:09.9977757Z * [new tag] ciflow/inductor/160679 -> ciflow/inductor/160679 2025-08-14T21:18:09.9978798Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-08-14T21:18:09.9979063Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-08-14T21:18:09.9979646Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-08-14T21:18:09.9980613Z * [new tag] ciflow/linux-aarch64/147855 -> ciflow/linux-aarch64/147855 2025-08-14T21:18:09.9980910Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-08-14T21:18:09.9981246Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-08-14T21:18:09.9981618Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-08-14T21:18:09.9982398Z * [new tag] ciflow/linux-aarch64/160299 -> ciflow/linux-aarch64/160299 2025-08-14T21:18:09.9982679Z * [new tag] ciflow/linux-aarch64/160301 -> ciflow/linux-aarch64/160301 2025-08-14T21:18:09.9983253Z * [new tag] ciflow/mps/155923 -> ciflow/mps/155923 2025-08-14T21:18:09.9983622Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-08-14T21:18:09.9984223Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-08-14T21:18:09.9984747Z * [new tag] ciflow/mps/160541 -> ciflow/mps/160541 2025-08-14T21:18:09.9985739Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-08-14T21:18:09.9985970Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-08-14T21:18:09.9986440Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-08-14T21:18:09.9987034Z * [new tag] ciflow/periodic-rocm-mi300/139971 -> ciflow/periodic-rocm-mi300/139971 2025-08-14T21:18:09.9987554Z * [new tag] ciflow/periodic-rocm-mi300/160073 -> ciflow/periodic-rocm-mi300/160073 2025-08-14T21:18:09.9987899Z * [new tag] ciflow/periodic-rocm-mi300/160538 -> ciflow/periodic-rocm-mi300/160538 2025-08-14T21:18:09.9989066Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-08-14T21:18:09.9989283Z * [new tag] ciflow/periodic/131296 -> ciflow/periodic/131296 2025-08-14T21:18:09.9989667Z * [new tag] ciflow/periodic/139971 -> ciflow/periodic/139971 2025-08-14T21:18:09.9990094Z * [new tag] ciflow/periodic/143959 -> ciflow/periodic/143959 2025-08-14T21:18:09.9990619Z * [new tag] ciflow/periodic/154595 -> ciflow/periodic/154595 2025-08-14T21:18:09.9991050Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-08-14T21:18:09.9991567Z * [new tag] ciflow/periodic/160201 -> ciflow/periodic/160201 2025-08-14T21:18:09.9991950Z * [new tag] ciflow/periodic/160424 -> ciflow/periodic/160424 2025-08-14T21:18:09.9992467Z * [new tag] ciflow/periodic/160538 -> ciflow/periodic/160538 2025-08-14T21:18:09.9994072Z * [new tag] ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65 2025-08-14T21:18:09.9994350Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-08-14T21:18:09.9995241Z * [new tag] ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b -> ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b 2025-08-14T21:18:09.9998915Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-08-14T21:18:09.9999108Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-08-14T21:18:09.9999253Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-08-14T21:18:09.9999602Z * [new tag] ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee 2025-08-14T21:18:09.9999937Z * [new tag] ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93 -> ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93 2025-08-14T21:18:10.0000095Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-08-14T21:18:10.0000277Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-08-14T21:18:10.0000748Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-08-14T21:18:10.0000977Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-08-14T21:18:10.0001842Z * [new tag] ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51 -> ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51 2025-08-14T21:18:10.0002295Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-08-14T21:18:10.0003127Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-08-14T21:18:10.0003931Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-08-14T21:18:10.0004442Z * [new tag] ciflow/rocm-mi300/151360 -> ciflow/rocm-mi300/151360 2025-08-14T21:18:10.0004896Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-08-14T21:18:10.0005371Z * [new tag] ciflow/rocm-mi300/160073 -> ciflow/rocm-mi300/160073 2025-08-14T21:18:10.0007485Z * [new tag] ciflow/rocm-mi300/160468 -> ciflow/rocm-mi300/160468 2025-08-14T21:18:10.0007683Z * [new tag] ciflow/rocm-mi300/160538 -> ciflow/rocm-mi300/160538 2025-08-14T21:18:10.0007825Z * [new tag] ciflow/rocm-mi355/160215 -> ciflow/rocm-mi355/160215 2025-08-14T21:18:10.0008006Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-08-14T21:18:10.0008132Z * [new tag] ciflow/rocm/151360 -> ciflow/rocm/151360 2025-08-14T21:18:10.0008612Z * [new tag] ciflow/rocm/151845 -> ciflow/rocm/151845 2025-08-14T21:18:10.0009778Z * [new tag] ciflow/rocm/154864 -> ciflow/rocm/154864 2025-08-14T21:18:10.0009947Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-08-14T21:18:10.0010292Z * [new tag] ciflow/rocm/158219 -> ciflow/rocm/158219 2025-08-14T21:18:10.0010729Z * [new tag] ciflow/rocm/158220 -> ciflow/rocm/158220 2025-08-14T21:18:10.0014437Z * [new tag] ciflow/rocm/158224 -> ciflow/rocm/158224 2025-08-14T21:18:10.0014775Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-08-14T21:18:10.0015180Z * [new tag] ciflow/rocm/160215 -> ciflow/rocm/160215 2025-08-14T21:18:10.0015332Z * [new tag] ciflow/rocm/160468 -> ciflow/rocm/160468 2025-08-14T21:18:10.0015472Z * [new tag] ciflow/rocm/160538 -> ciflow/rocm/160538 2025-08-14T21:18:10.0015589Z * [new tag] ciflow/s390/143959 -> ciflow/s390/143959 2025-08-14T21:18:10.0015754Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-08-14T21:18:10.0015874Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-08-14T21:18:10.0016228Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-08-14T21:18:10.0016651Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-08-14T21:18:10.0016879Z * [new tag] ciflow/slow/154595 -> ciflow/slow/154595 2025-08-14T21:18:10.0017123Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-08-14T21:18:10.0018156Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-08-14T21:18:10.0018310Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-08-14T21:18:10.0021373Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-08-14T21:18:10.0021536Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-08-14T21:18:10.0021671Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-08-14T21:18:10.0021800Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-08-14T21:18:10.0021969Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-08-14T21:18:10.0022540Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-08-14T21:18:10.0022898Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-08-14T21:18:10.0023671Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-08-14T21:18:10.0024053Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-08-14T21:18:10.0028174Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-08-14T21:18:10.0028496Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-08-14T21:18:10.0028887Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-08-14T21:18:10.0029032Z * [new tag] ciflow/trunk/131296 -> ciflow/trunk/131296 2025-08-14T21:18:10.0029166Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-08-14T21:18:10.0029291Z * [new tag] ciflow/trunk/138996 -> ciflow/trunk/138996 2025-08-14T21:18:10.0029550Z * [new tag] ciflow/trunk/139971 -> ciflow/trunk/139971 2025-08-14T21:18:10.0029850Z * [new tag] ciflow/trunk/147360 -> ciflow/trunk/147360 2025-08-14T21:18:10.0030288Z * [new tag] ciflow/trunk/147855 -> ciflow/trunk/147855 2025-08-14T21:18:10.0030440Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-08-14T21:18:10.0030577Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-08-14T21:18:10.0030813Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-08-14T21:18:10.0031267Z * [new tag] ciflow/trunk/150282 -> ciflow/trunk/150282 2025-08-14T21:18:10.0031761Z * [new tag] ciflow/trunk/150302 -> ciflow/trunk/150302 2025-08-14T21:18:10.0032795Z * [new tag] ciflow/trunk/151845 -> ciflow/trunk/151845 2025-08-14T21:18:10.0032939Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-08-14T21:18:10.0034967Z * [new tag] ciflow/trunk/154193 -> ciflow/trunk/154193 2025-08-14T21:18:10.0035306Z * [new tag] ciflow/trunk/154595 -> ciflow/trunk/154595 2025-08-14T21:18:10.0035465Z * [new tag] ciflow/trunk/154650 -> ciflow/trunk/154650 2025-08-14T21:18:10.0035678Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-08-14T21:18:10.0035811Z * [new tag] ciflow/trunk/155958 -> ciflow/trunk/155958 2025-08-14T21:18:10.0036053Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-08-14T21:18:10.0037433Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-08-14T21:18:10.0037600Z * [new tag] ciflow/trunk/156851 -> ciflow/trunk/156851 2025-08-14T21:18:10.0037733Z * [new tag] ciflow/trunk/157148 -> ciflow/trunk/157148 2025-08-14T21:18:10.0038206Z * [new tag] ciflow/trunk/157152 -> ciflow/trunk/157152 2025-08-14T21:18:10.0038695Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-08-14T21:18:10.0039269Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-08-14T21:18:10.0039664Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-08-14T21:18:10.0040220Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-08-14T21:18:10.0040904Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-08-14T21:18:10.0041440Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-08-14T21:18:10.0041576Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-08-14T21:18:10.0043016Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-08-14T21:18:10.0043145Z * [new tag] ciflow/trunk/158219 -> ciflow/trunk/158219 2025-08-14T21:18:10.0043517Z * [new tag] ciflow/trunk/158220 -> ciflow/trunk/158220 2025-08-14T21:18:10.0044065Z * [new tag] ciflow/trunk/158224 -> ciflow/trunk/158224 2025-08-14T21:18:10.0044809Z * [new tag] ciflow/trunk/158529 -> ciflow/trunk/158529 2025-08-14T21:18:10.0045145Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-08-14T21:18:10.0048311Z * [new tag] ciflow/trunk/158810 -> ciflow/trunk/158810 2025-08-14T21:18:10.0048494Z * [new tag] ciflow/trunk/158812 -> ciflow/trunk/158812 2025-08-14T21:18:10.0048638Z * [new tag] ciflow/trunk/158863 -> ciflow/trunk/158863 2025-08-14T21:18:10.0048769Z * [new tag] ciflow/trunk/158864 -> ciflow/trunk/158864 2025-08-14T21:18:10.0048889Z * [new tag] ciflow/trunk/158883 -> ciflow/trunk/158883 2025-08-14T21:18:10.0049008Z * [new tag] ciflow/trunk/158914 -> ciflow/trunk/158914 2025-08-14T21:18:10.0049379Z * [new tag] ciflow/trunk/158965 -> ciflow/trunk/158965 2025-08-14T21:18:10.0049502Z * [new tag] ciflow/trunk/158987 -> ciflow/trunk/158987 2025-08-14T21:18:10.0049765Z * [new tag] ciflow/trunk/159033 -> ciflow/trunk/159033 2025-08-14T21:18:10.0050672Z * [new tag] ciflow/trunk/159140 -> ciflow/trunk/159140 2025-08-14T21:18:10.0051062Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-08-14T21:18:10.0051482Z * [new tag] ciflow/trunk/159553 -> ciflow/trunk/159553 2025-08-14T21:18:10.0051851Z * [new tag] ciflow/trunk/159562 -> ciflow/trunk/159562 2025-08-14T21:18:10.0052386Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-08-14T21:18:10.0052796Z * [new tag] ciflow/trunk/159691 -> ciflow/trunk/159691 2025-08-14T21:18:10.0055072Z * [new tag] ciflow/trunk/159842 -> ciflow/trunk/159842 2025-08-14T21:18:10.0055227Z * [new tag] ciflow/trunk/159889 -> ciflow/trunk/159889 2025-08-14T21:18:10.0055359Z * [new tag] ciflow/trunk/159923 -> ciflow/trunk/159923 2025-08-14T21:18:10.0055482Z * [new tag] ciflow/trunk/160004 -> ciflow/trunk/160004 2025-08-14T21:18:10.0055606Z * [new tag] ciflow/trunk/160113 -> ciflow/trunk/160113 2025-08-14T21:18:10.0055739Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-08-14T21:18:10.0056581Z * [new tag] ciflow/trunk/160168 -> ciflow/trunk/160168 2025-08-14T21:18:10.0056741Z * [new tag] ciflow/trunk/160181 -> ciflow/trunk/160181 2025-08-14T21:18:10.0057143Z * [new tag] ciflow/trunk/160183 -> ciflow/trunk/160183 2025-08-14T21:18:10.0057787Z * [new tag] ciflow/trunk/160190 -> ciflow/trunk/160190 2025-08-14T21:18:10.0058385Z * [new tag] ciflow/trunk/160198 -> ciflow/trunk/160198 2025-08-14T21:18:10.0058849Z * [new tag] ciflow/trunk/160205 -> ciflow/trunk/160205 2025-08-14T21:18:10.0059178Z * [new tag] ciflow/trunk/160219 -> ciflow/trunk/160219 2025-08-14T21:18:10.0059686Z * [new tag] ciflow/trunk/160224 -> ciflow/trunk/160224 2025-08-14T21:18:10.0060130Z * [new tag] ciflow/trunk/160250 -> ciflow/trunk/160250 2025-08-14T21:18:10.0060563Z * [new tag] ciflow/trunk/160253 -> ciflow/trunk/160253 2025-08-14T21:18:10.0063747Z * [new tag] ciflow/trunk/160335 -> ciflow/trunk/160335 2025-08-14T21:18:10.0063913Z * [new tag] ciflow/trunk/160338 -> ciflow/trunk/160338 2025-08-14T21:18:10.0064047Z * [new tag] ciflow/trunk/160383 -> ciflow/trunk/160383 2025-08-14T21:18:10.0064182Z * [new tag] ciflow/trunk/160401 -> ciflow/trunk/160401 2025-08-14T21:18:10.0064311Z * [new tag] ciflow/trunk/160403 -> ciflow/trunk/160403 2025-08-14T21:18:10.0064428Z * [new tag] ciflow/trunk/160430 -> ciflow/trunk/160430 2025-08-14T21:18:10.0064542Z * [new tag] ciflow/trunk/160431 -> ciflow/trunk/160431 2025-08-14T21:18:10.0064709Z * [new tag] ciflow/trunk/160439 -> ciflow/trunk/160439 2025-08-14T21:18:10.0065186Z * [new tag] ciflow/trunk/160449 -> ciflow/trunk/160449 2025-08-14T21:18:10.0066715Z * [new tag] ciflow/trunk/160454 -> ciflow/trunk/160454 2025-08-14T21:18:10.0066864Z * [new tag] ciflow/trunk/160468 -> ciflow/trunk/160468 2025-08-14T21:18:10.0067060Z * [new tag] ciflow/trunk/160481 -> ciflow/trunk/160481 2025-08-14T21:18:10.0067191Z * [new tag] ciflow/trunk/160485 -> ciflow/trunk/160485 2025-08-14T21:18:10.0067576Z * [new tag] ciflow/trunk/160519 -> ciflow/trunk/160519 2025-08-14T21:18:10.0069391Z * [new tag] ciflow/trunk/160527 -> ciflow/trunk/160527 2025-08-14T21:18:10.0069558Z * [new tag] ciflow/trunk/160560 -> ciflow/trunk/160560 2025-08-14T21:18:10.0069686Z * [new tag] ciflow/trunk/160578 -> ciflow/trunk/160578 2025-08-14T21:18:10.0070349Z * [new tag] ciflow/trunk/160589 -> ciflow/trunk/160589 2025-08-14T21:18:10.0070502Z * [new tag] ciflow/trunk/160592 -> ciflow/trunk/160592 2025-08-14T21:18:10.0070621Z * [new tag] ciflow/trunk/160649 -> ciflow/trunk/160649 2025-08-14T21:18:10.0070919Z * [new tag] ciflow/trunk/160656 -> ciflow/trunk/160656 2025-08-14T21:18:10.0073246Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-08-14T21:18:10.0073425Z * [new tag] ciflow/vllm/160116 -> ciflow/vllm/160116 2025-08-14T21:18:10.0073556Z * [new tag] ciflow/vllm/160583 -> ciflow/vllm/160583 2025-08-14T21:18:10.0073676Z * [new tag] ciflow/vllm/160619 -> ciflow/vllm/160619 2025-08-14T21:18:10.0073832Z * [new tag] ciflow/vllm/160625 -> ciflow/vllm/160625 2025-08-14T21:18:10.0074229Z * [new tag] ciflow/vllm/160627 -> ciflow/vllm/160627 2025-08-14T21:18:10.0075641Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-08-14T21:18:10.0075801Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-08-14T21:18:10.0075931Z * [new tag] ciflow/win-arm64/159553 -> ciflow/win-arm64/159553 2025-08-14T21:18:10.0076241Z * [new tag] ciflow/win-arm64/159562 -> ciflow/win-arm64/159562 2025-08-14T21:18:10.0077179Z * [new tag] ciflow/win-arm64/159777 -> ciflow/win-arm64/159777 2025-08-14T21:18:10.0077506Z * [new tag] ciflow/win-arm64/159780 -> ciflow/win-arm64/159780 2025-08-14T21:18:10.0077847Z * [new tag] ciflow/win-arm64/159842 -> ciflow/win-arm64/159842 2025-08-14T21:18:10.0078319Z * [new tag] ciflow/win-arm64/160250 -> ciflow/win-arm64/160250 2025-08-14T21:18:10.0079488Z * [new tag] ciflow/win-arm64/160253 -> ciflow/win-arm64/160253 2025-08-14T21:18:10.0079650Z * [new tag] ciflow/win-arm64/160454 -> ciflow/win-arm64/160454 2025-08-14T21:18:10.0079974Z * [new tag] ciflow/win-arm64/160560 -> ciflow/win-arm64/160560 2025-08-14T21:18:10.0080966Z * [new tag] ciflow/xpu/138996 -> ciflow/xpu/138996 2025-08-14T21:18:10.0081101Z * [new tag] ciflow/xpu/139971 -> ciflow/xpu/139971 2025-08-14T21:18:10.0083533Z * [new tag] ciflow/xpu/140972 -> ciflow/xpu/140972 2025-08-14T21:18:10.0084160Z * [new tag] ciflow/xpu/143553 -> ciflow/xpu/143553 2025-08-14T21:18:10.0084315Z * [new tag] ciflow/xpu/156272 -> ciflow/xpu/156272 2025-08-14T21:18:10.0084449Z * [new tag] ciflow/xpu/156812 -> ciflow/xpu/156812 2025-08-14T21:18:10.0084574Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-08-14T21:18:10.0084733Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-08-14T21:18:10.0085178Z * [new tag] ciflow/xpu/158336 -> ciflow/xpu/158336 2025-08-14T21:18:10.0085602Z * [new tag] ciflow/xpu/158733 -> ciflow/xpu/158733 2025-08-14T21:18:10.0086046Z * [new tag] ciflow/xpu/159033 -> ciflow/xpu/159033 2025-08-14T21:18:10.0088034Z * [new tag] ciflow/xpu/159118 -> ciflow/xpu/159118 2025-08-14T21:18:10.0088458Z * [new tag] ciflow/xpu/159140 -> ciflow/xpu/159140 2025-08-14T21:18:10.0088603Z * [new tag] ciflow/xpu/159241 -> ciflow/xpu/159241 2025-08-14T21:18:10.0089003Z * [new tag] ciflow/xpu/159473 -> ciflow/xpu/159473 2025-08-14T21:18:10.0089130Z * [new tag] ciflow/xpu/159474 -> ciflow/xpu/159474 2025-08-14T21:18:10.0089423Z * [new tag] ciflow/xpu/159553 -> ciflow/xpu/159553 2025-08-14T21:18:10.0090309Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-08-14T21:18:10.0090456Z * [new tag] ciflow/xpu/160062 -> ciflow/xpu/160062 2025-08-14T21:18:10.0093362Z * [new tag] ciflow/xpu/160067 -> ciflow/xpu/160067 2025-08-14T21:18:10.0093535Z * [new tag] ciflow/xpu/160158 -> ciflow/xpu/160158 2025-08-14T21:18:10.0093658Z * [new tag] ciflow/xpu/160173 -> ciflow/xpu/160173 2025-08-14T21:18:10.0093803Z * [new tag] ciflow/xpu/160183 -> ciflow/xpu/160183 2025-08-14T21:18:10.0093923Z * [new tag] ciflow/xpu/160301 -> ciflow/xpu/160301 2025-08-14T21:18:10.0094040Z * [new tag] ciflow/xpu/160403 -> ciflow/xpu/160403 2025-08-14T21:18:10.0094328Z * [new tag] ciflow/xpu/160606 -> ciflow/xpu/160606 2025-08-14T21:18:10.0099457Z * [new tag] cslpull75 -> cslpull75 2025-08-14T21:18:10.0099766Z * [new tag] cslpull76 -> cslpull76 2025-08-14T21:18:10.0099898Z * [new tag] cslpull77 -> cslpull77 2025-08-14T21:18:10.0100003Z * [new tag] cslpull78 -> cslpull78 2025-08-14T21:18:10.0100117Z * [new tag] cslpull79 -> cslpull79 2025-08-14T21:18:10.0100227Z * [new tag] cslpull80 -> cslpull80 2025-08-14T21:18:10.0100341Z * [new tag] cslpull81 -> cslpull81 2025-08-14T21:18:10.0100447Z * [new tag] cslpull82 -> cslpull82 2025-08-14T21:18:10.0100549Z * [new tag] cslpull83 -> cslpull83 2025-08-14T21:18:10.0100658Z * [new tag] cslpull84 -> cslpull84 2025-08-14T21:18:10.0100942Z * [new tag] cslpull85 -> cslpull85 2025-08-14T21:18:10.0101076Z * [new tag] cslpull86 -> cslpull86 2025-08-14T21:18:10.0101640Z * [new tag] cslpull87 -> cslpull87 2025-08-14T21:18:10.0105648Z * [new tag] cslpull88 -> cslpull88 2025-08-14T21:18:10.0105806Z * [new tag] cslpull89 -> cslpull89 2025-08-14T21:18:10.0105916Z * [new tag] cslpull90 -> cslpull90 2025-08-14T21:18:10.0106049Z * [new tag] cslpull91 -> cslpull91 2025-08-14T21:18:10.0106153Z * [new tag] cslpull92 -> cslpull92 2025-08-14T21:18:10.0106265Z * [new tag] flight_5 -> flight_5 2025-08-14T21:18:10.0106420Z * [new tag] flight_5.1 -> flight_5.1 2025-08-14T21:18:10.0106934Z * [new tag] flight_5.2 -> flight_5.2 2025-08-14T21:18:10.0107337Z * [new tag] flight_5.3 -> flight_5.3 2025-08-14T21:18:10.0108366Z * [new tag] forpull1 -> forpull1 2025-08-14T21:18:10.0108904Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-08-14T21:18:10.0109452Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-08-14T21:18:10.0110218Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-08-14T21:18:10.0110774Z * [new tag] nightly-binary -> nightly-binary 2025-08-14T21:18:10.0111122Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-08-14T21:18:10.0112040Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-08-14T21:18:10.0112607Z * [new tag] trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6 -> trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6 2025-08-14T21:18:10.0113204Z * [new tag] trunk/017259f9c65b6fad55fb9597d7077e2543eaae46 -> trunk/017259f9c65b6fad55fb9597d7077e2543eaae46 2025-08-14T21:18:10.0114738Z * [new tag] trunk/01bcf9a40dea937637d2cdd530bed2652510943d -> trunk/01bcf9a40dea937637d2cdd530bed2652510943d 2025-08-14T21:18:10.0115125Z * [new tag] trunk/01f66d08d93365015f4af005a252f439c4d4013a -> trunk/01f66d08d93365015f4af005a252f439c4d4013a 2025-08-14T21:18:10.0115635Z * [new tag] trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e -> trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e 2025-08-14T21:18:10.0115880Z * [new tag] trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb -> trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb 2025-08-14T21:18:10.0116223Z * [new tag] trunk/05c19d1acecc01b0d2512364183058a6885b9869 -> trunk/05c19d1acecc01b0d2512364183058a6885b9869 2025-08-14T21:18:10.0116816Z * [new tag] trunk/05c417715f791875fbf28cfc3fc86142de1a3206 -> trunk/05c417715f791875fbf28cfc3fc86142de1a3206 2025-08-14T21:18:10.0117568Z * [new tag] trunk/06824f3c7268bb807a422b663047cd0900ddd126 -> trunk/06824f3c7268bb807a422b663047cd0900ddd126 2025-08-14T21:18:10.0117849Z * [new tag] trunk/077cb389746a7d61cfc018aad2ba29a8aa195610 -> trunk/077cb389746a7d61cfc018aad2ba29a8aa195610 2025-08-14T21:18:10.0118828Z * [new tag] trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057 -> trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057 2025-08-14T21:18:10.0120065Z * [new tag] trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1 -> trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1 2025-08-14T21:18:10.0120320Z * [new tag] trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde -> trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde 2025-08-14T21:18:10.0120559Z * [new tag] trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4 -> trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4 2025-08-14T21:18:10.0121100Z * [new tag] trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81 -> trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81 2025-08-14T21:18:10.0121738Z * [new tag] trunk/0d71ca2c46753bb268bfdcf815c14415c122a289 -> trunk/0d71ca2c46753bb268bfdcf815c14415c122a289 2025-08-14T21:18:10.0122254Z * [new tag] trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b -> trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b 2025-08-14T21:18:10.0123572Z * [new tag] trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11 -> trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11 2025-08-14T21:18:10.0123829Z * [new tag] trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca -> trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca 2025-08-14T21:18:10.0127219Z * [new tag] trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483 -> trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483 2025-08-14T21:18:10.0127501Z * [new tag] trunk/1028c5e2d50e121865bf98307e7c035f549a24b2 -> trunk/1028c5e2d50e121865bf98307e7c035f549a24b2 2025-08-14T21:18:10.0127795Z * [new tag] trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e -> trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e 2025-08-14T21:18:10.0128036Z * [new tag] trunk/10e3514c962b58cbbee994257872a626ff76d51b -> trunk/10e3514c962b58cbbee994257872a626ff76d51b 2025-08-14T21:18:10.0128276Z * [new tag] trunk/1128f4c2a822cbe34a9d966306af15097179ffe1 -> trunk/1128f4c2a822cbe34a9d966306af15097179ffe1 2025-08-14T21:18:10.0128696Z * [new tag] trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e -> trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e 2025-08-14T21:18:10.0128946Z * [new tag] trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76 -> trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76 2025-08-14T21:18:10.0129190Z * [new tag] trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91 -> trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91 2025-08-14T21:18:10.0129651Z * [new tag] trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8 -> trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8 2025-08-14T21:18:10.0129927Z * [new tag] trunk/15e49f61643e4c0eef420f0981609709ef55b848 -> trunk/15e49f61643e4c0eef420f0981609709ef55b848 2025-08-14T21:18:10.0130519Z * [new tag] trunk/16d15445f8bd8740095b23de4af89d757af793ca -> trunk/16d15445f8bd8740095b23de4af89d757af793ca 2025-08-14T21:18:10.0131215Z * [new tag] trunk/178515d0ff6833c8e9221482b2a650ab31e00019 -> trunk/178515d0ff6833c8e9221482b2a650ab31e00019 2025-08-14T21:18:10.0131828Z * [new tag] trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe -> trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe 2025-08-14T21:18:10.0132330Z * [new tag] trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf -> trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf 2025-08-14T21:18:10.0132887Z * [new tag] trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca -> trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca 2025-08-14T21:18:10.0133560Z * [new tag] trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014 -> trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014 2025-08-14T21:18:10.0134121Z * [new tag] trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a -> trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a 2025-08-14T21:18:10.0134645Z * [new tag] trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7 -> trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7 2025-08-14T21:18:10.0135600Z * [new tag] trunk/1c2587119152cec3905647a47c65d3d26619c5a8 -> trunk/1c2587119152cec3905647a47c65d3d26619c5a8 2025-08-14T21:18:10.0136201Z * [new tag] trunk/1c26c53851c212a7c90a325549a72f0571613a8c -> trunk/1c26c53851c212a7c90a325549a72f0571613a8c 2025-08-14T21:18:10.0136499Z * [new tag] trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613 -> trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613 2025-08-14T21:18:10.0137338Z * [new tag] trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3 -> trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3 2025-08-14T21:18:10.0137767Z * [new tag] trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc -> trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc 2025-08-14T21:18:10.0142439Z * [new tag] trunk/1f4057c11ac941fb324386ca594d0a6882185aad -> trunk/1f4057c11ac941fb324386ca594d0a6882185aad 2025-08-14T21:18:10.0142897Z * [new tag] trunk/1fc683cf17c8c673044538d10266c00f92987be2 -> trunk/1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:18:10.0143182Z * [new tag] trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65 2025-08-14T21:18:10.0143420Z * [new tag] trunk/206c1eef6571f906c2792d899a09136b3fce9673 -> trunk/206c1eef6571f906c2792d899a09136b3fce9673 2025-08-14T21:18:10.0143680Z * [new tag] trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb -> trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb 2025-08-14T21:18:10.0143927Z * [new tag] trunk/21392c0e06ac2b2621950455975ca6332f0bf641 -> trunk/21392c0e06ac2b2621950455975ca6332f0bf641 2025-08-14T21:18:10.0144170Z * [new tag] trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6 -> trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6 2025-08-14T21:18:10.0144422Z * [new tag] trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d -> trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d 2025-08-14T21:18:10.0144809Z * [new tag] trunk/231c72240d80091f099c95e326d3600cba866eee -> trunk/231c72240d80091f099c95e326d3600cba866eee 2025-08-14T21:18:10.0145323Z * [new tag] trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c -> trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c 2025-08-14T21:18:10.0145576Z * [new tag] trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd -> trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd 2025-08-14T21:18:10.0145829Z * [new tag] trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9 -> trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9 2025-08-14T21:18:10.0146066Z * [new tag] trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227 -> trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227 2025-08-14T21:18:10.0146854Z * [new tag] trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72 -> trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72 2025-08-14T21:18:10.0147105Z * [new tag] trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c -> trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c 2025-08-14T21:18:10.0152056Z * [new tag] trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31 -> trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31 2025-08-14T21:18:10.0152370Z * [new tag] trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad -> trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad 2025-08-14T21:18:10.0152629Z * [new tag] trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1 -> trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1 2025-08-14T21:18:10.0152881Z * [new tag] trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51 -> trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51 2025-08-14T21:18:10.0153318Z * [new tag] trunk/2ee22e435131369a7e4f8cc4732579acc29a941b -> trunk/2ee22e435131369a7e4f8cc4732579acc29a941b 2025-08-14T21:18:10.0153557Z * [new tag] trunk/2f4c2226175512af787725c4d5ad7313c60d4db1 -> trunk/2f4c2226175512af787725c4d5ad7313c60d4db1 2025-08-14T21:18:10.0153803Z * [new tag] trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5 -> trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5 2025-08-14T21:18:10.0154039Z * [new tag] trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2 -> trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2 2025-08-14T21:18:10.0154461Z * [new tag] trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6 -> trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6 2025-08-14T21:18:10.0154800Z * [new tag] trunk/305fa2239365ad17ac9c534a68bba8a149c42d67 -> trunk/305fa2239365ad17ac9c534a68bba8a149c42d67 2025-08-14T21:18:10.0155136Z * [new tag] trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706 -> trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706 2025-08-14T21:18:10.0155468Z * [new tag] trunk/32099961d588fc19ead8afe805d6b5108de75669 -> trunk/32099961d588fc19ead8afe805d6b5108de75669 2025-08-14T21:18:10.0155775Z * [new tag] trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047 -> trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047 2025-08-14T21:18:10.0156108Z * [new tag] trunk/334b38ccc4427b1d14981c48a3a0b92180d58225 -> trunk/334b38ccc4427b1d14981c48a3a0b92180d58225 2025-08-14T21:18:10.0156354Z * [new tag] trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513 -> trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513 2025-08-14T21:18:10.0159887Z * [new tag] trunk/33d94018668951611b318b7515ae96f04e48eac0 -> trunk/33d94018668951611b318b7515ae96f04e48eac0 2025-08-14T21:18:10.0160173Z * [new tag] trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb -> trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb 2025-08-14T21:18:10.0160469Z * [new tag] trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673 -> trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673 2025-08-14T21:18:10.0160716Z * [new tag] trunk/355462e1278d818deb9ef4a184073d5b66074816 -> trunk/355462e1278d818deb9ef4a184073d5b66074816 2025-08-14T21:18:10.0163387Z * [new tag] trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919 -> trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919 2025-08-14T21:18:10.0163836Z * [new tag] trunk/36f46d082a4954921cb8493223f000f2aab79ed7 -> trunk/36f46d082a4954921cb8493223f000f2aab79ed7 2025-08-14T21:18:10.0164091Z * [new tag] trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2 -> trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2 2025-08-14T21:18:10.0164318Z * [new tag] trunk/3a562374401113187ce2566b87e3f1d87d7c53aa -> trunk/3a562374401113187ce2566b87e3f1d87d7c53aa 2025-08-14T21:18:10.0164579Z * [new tag] trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae -> trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae 2025-08-14T21:18:10.0164842Z * [new tag] trunk/3be70dc30e893b552fc0f23ca06cd8f7949b6d08 -> trunk/3be70dc30e893b552fc0f23ca06cd8f7949b6d08 2025-08-14T21:18:10.0165163Z * [new tag] trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0 -> trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0 2025-08-14T21:18:10.0169283Z * [new tag] trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2 -> trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2 2025-08-14T21:18:10.0171751Z * [new tag] trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f -> trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f 2025-08-14T21:18:10.0176841Z * [new tag] trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0 -> trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0 2025-08-14T21:18:10.0179415Z * [new tag] trunk/3faee0a6318afcbbbb48687009a459214910d820 -> trunk/3faee0a6318afcbbbb48687009a459214910d820 2025-08-14T21:18:10.0179899Z * [new tag] trunk/3fcd79e023da7156ac584992ebab29205d3b7881 -> trunk/3fcd79e023da7156ac584992ebab29205d3b7881 2025-08-14T21:18:10.0185003Z * [new tag] trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6 -> trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6 2025-08-14T21:18:10.0185306Z * [new tag] trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23 -> trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23 2025-08-14T21:18:10.0185551Z * [new tag] trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60 -> trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60 2025-08-14T21:18:10.0185820Z * [new tag] trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d -> trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d 2025-08-14T21:18:10.0186061Z * [new tag] trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f -> trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f 2025-08-14T21:18:10.0186298Z * [new tag] trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3 -> trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3 2025-08-14T21:18:10.0186549Z * [new tag] trunk/45ba7ecda876685b083cbbe932450560c566826b -> trunk/45ba7ecda876685b083cbbe932450560c566826b 2025-08-14T21:18:10.0186792Z * [new tag] trunk/47a1db823dfcdacdb99f317428fc3791a18c5812 -> trunk/47a1db823dfcdacdb99f317428fc3791a18c5812 2025-08-14T21:18:10.0187038Z * [new tag] trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee 2025-08-14T21:18:10.0187280Z * [new tag] trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3 -> trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3 2025-08-14T21:18:10.0187526Z * [new tag] trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d -> trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d 2025-08-14T21:18:10.0187764Z * [new tag] trunk/4d419a74610c32b1372f8802dcc61893740a23cf -> trunk/4d419a74610c32b1372f8802dcc61893740a23cf 2025-08-14T21:18:10.0188010Z * [new tag] trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235 -> trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235 2025-08-14T21:18:10.0188264Z * [new tag] trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc -> trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc 2025-08-14T21:18:10.0188499Z * [new tag] trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42 -> trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42 2025-08-14T21:18:10.0188734Z * [new tag] trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d -> trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d 2025-08-14T21:18:10.0189177Z * [new tag] trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa -> trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa 2025-08-14T21:18:10.0189405Z * [new tag] trunk/53e39494958b7e2278cc8176f63636e812e8945f -> trunk/53e39494958b7e2278cc8176f63636e812e8945f 2025-08-14T21:18:10.0189674Z * [new tag] trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce -> trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce 2025-08-14T21:18:10.0189929Z * [new tag] trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919 -> trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919 2025-08-14T21:18:10.0190199Z * [new tag] trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3 -> trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3 2025-08-14T21:18:10.0190454Z * [new tag] trunk/56c828bef93eada0e18d2cc013207831ca80cc99 -> trunk/56c828bef93eada0e18d2cc013207831ca80cc99 2025-08-14T21:18:10.0190692Z * [new tag] trunk/5737372862253a0ac0292407a5844796f02380ad -> trunk/5737372862253a0ac0292407a5844796f02380ad 2025-08-14T21:18:10.0191003Z * [new tag] trunk/57f738b6357cc8fcdde479a0948e723809a1a44d -> trunk/57f738b6357cc8fcdde479a0948e723809a1a44d 2025-08-14T21:18:10.0191251Z * [new tag] trunk/5a40c5784482255b9baf14086cc4b9349fc6d512 -> trunk/5a40c5784482255b9baf14086cc4b9349fc6d512 2025-08-14T21:18:10.0191505Z * [new tag] trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307 -> trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307 2025-08-14T21:18:10.0191810Z * [new tag] trunk/5ace061254af71aa83d1baae81aa1864c9746add -> trunk/5ace061254af71aa83d1baae81aa1864c9746add 2025-08-14T21:18:10.0192075Z * [new tag] trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f -> trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f 2025-08-14T21:18:10.0192331Z * [new tag] trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf -> trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf 2025-08-14T21:18:10.0192600Z * [new tag] trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a -> trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a 2025-08-14T21:18:10.0192901Z * [new tag] trunk/5f5f508aa836a46dfe88857fb223049616b94e93 -> trunk/5f5f508aa836a46dfe88857fb223049616b94e93 2025-08-14T21:18:10.0193154Z * [new tag] trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca -> trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca 2025-08-14T21:18:10.0193419Z * [new tag] trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc -> trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc 2025-08-14T21:18:10.0193668Z * [new tag] trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62 -> trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62 2025-08-14T21:18:10.0193909Z * [new tag] trunk/641ee7478150f26969968f49d8b358e199679a8a -> trunk/641ee7478150f26969968f49d8b358e199679a8a 2025-08-14T21:18:10.0194161Z * [new tag] trunk/65053c03a3d209060cb239d20a229dac37cf9dd1 -> trunk/65053c03a3d209060cb239d20a229dac37cf9dd1 2025-08-14T21:18:10.0194411Z * [new tag] trunk/652a6f5954d039d61dc6e6575ccf89d385d74537 -> trunk/652a6f5954d039d61dc6e6575ccf89d385d74537 2025-08-14T21:18:10.0194666Z * [new tag] trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14 -> trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14 2025-08-14T21:18:10.0194907Z * [new tag] trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c -> trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c 2025-08-14T21:18:10.0195167Z * [new tag] trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f -> trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f 2025-08-14T21:18:10.0195425Z * [new tag] trunk/6be6d06295c870c77a6eb69f96b3170d983520d5 -> trunk/6be6d06295c870c77a6eb69f96b3170d983520d5 2025-08-14T21:18:10.0195688Z * [new tag] trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49 -> trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49 2025-08-14T21:18:10.0196013Z * [new tag] trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66 -> trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66 2025-08-14T21:18:10.0196263Z * [new tag] trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7 -> trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7 2025-08-14T21:18:10.0196513Z * [new tag] trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58 -> trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58 2025-08-14T21:18:10.0196760Z * [new tag] trunk/6ee175195ac7853734d64704171993cc6265eb38 -> trunk/6ee175195ac7853734d64704171993cc6265eb38 2025-08-14T21:18:10.0197012Z * [new tag] trunk/6f0f4e0c3eacd479864319127915f869f64e1935 -> trunk/6f0f4e0c3eacd479864319127915f869f64e1935 2025-08-14T21:18:10.0197267Z * [new tag] trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8 -> trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8 2025-08-14T21:18:10.0197515Z * [new tag] trunk/72009ec6bebca7714f99c18449183787f202af4d -> trunk/72009ec6bebca7714f99c18449183787f202af4d 2025-08-14T21:18:10.0197970Z * [new tag] trunk/731ee31f7b6ba19307daab323f6196172b71aaf8 -> trunk/731ee31f7b6ba19307daab323f6196172b71aaf8 2025-08-14T21:18:10.0198355Z * [new tag] trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59 -> trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59 2025-08-14T21:18:10.0198723Z * [new tag] trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41 -> trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41 2025-08-14T21:18:10.0199518Z * [new tag] trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4 -> trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4 2025-08-14T21:18:10.0199945Z * [new tag] trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299 -> trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299 2025-08-14T21:18:10.0201098Z * [new tag] trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114 -> trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114 2025-08-14T21:18:10.0201391Z * [new tag] trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef -> trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef 2025-08-14T21:18:10.0202591Z * [new tag] trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac -> trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac 2025-08-14T21:18:10.0203039Z * [new tag] trunk/7e27347fd353928c99620495c8c531a5eba7d56b -> trunk/7e27347fd353928c99620495c8c531a5eba7d56b 2025-08-14T21:18:10.0208372Z * [new tag] trunk/7e91394955721c77645fcdb75a5d47a255d65020 -> trunk/7e91394955721c77645fcdb75a5d47a255d65020 2025-08-14T21:18:10.0208674Z * [new tag] trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001 -> trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001 2025-08-14T21:18:10.0208921Z * [new tag] trunk/7fbc22855c17741ae016992803b2e147a13aa22d -> trunk/7fbc22855c17741ae016992803b2e147a13aa22d 2025-08-14T21:18:10.0209170Z * [new tag] trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348 -> trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348 2025-08-14T21:18:10.0209409Z * [new tag] trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2 -> trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2 2025-08-14T21:18:10.0209647Z * [new tag] trunk/80cca8307943ba64168208b54028f55b2c71daff -> trunk/80cca8307943ba64168208b54028f55b2c71daff 2025-08-14T21:18:10.0209877Z * [new tag] trunk/8147370733bbdcd034cad54e9212e51885a11892 -> trunk/8147370733bbdcd034cad54e9212e51885a11892 2025-08-14T21:18:10.0210121Z * [new tag] trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26 -> trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26 2025-08-14T21:18:10.0210370Z * [new tag] trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654 -> trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654 2025-08-14T21:18:10.0210622Z * [new tag] trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f -> trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f 2025-08-14T21:18:10.0215749Z * [new tag] trunk/85db508af533649d0b3447ff3f0d5fe083150c84 -> trunk/85db508af533649d0b3447ff3f0d5fe083150c84 2025-08-14T21:18:10.0216192Z * [new tag] trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a -> trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a 2025-08-14T21:18:10.0216456Z * [new tag] trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367 -> trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367 2025-08-14T21:18:10.0216702Z * [new tag] trunk/89654db1abccf7e5f261989a150db4d1619ea2aa -> trunk/89654db1abccf7e5f261989a150db4d1619ea2aa 2025-08-14T21:18:10.0216951Z * [new tag] trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1 -> trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1 2025-08-14T21:18:10.0217199Z * [new tag] trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d -> trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d 2025-08-14T21:18:10.0217435Z * [new tag] trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6 -> trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6 2025-08-14T21:18:10.0217702Z * [new tag] trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0 -> trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0 2025-08-14T21:18:10.0217944Z * [new tag] trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4 -> trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4 2025-08-14T21:18:10.0218210Z * [new tag] trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d -> trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d 2025-08-14T21:18:10.0218453Z * [new tag] trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1 -> trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1 2025-08-14T21:18:10.0218730Z * [new tag] trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347 -> trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347 2025-08-14T21:18:10.0218975Z * [new tag] trunk/8d6d3246316e1767a57d5e855acd6208da753b75 -> trunk/8d6d3246316e1767a57d5e855acd6208da753b75 2025-08-14T21:18:10.0219233Z * [new tag] trunk/8e6a3138581152ab827a0997f34c470271399f5e -> trunk/8e6a3138581152ab827a0997f34c470271399f5e 2025-08-14T21:18:10.0219484Z * [new tag] trunk/8eee08d2279b98af2522debb6512d37e837e89e3 -> trunk/8eee08d2279b98af2522debb6512d37e837e89e3 2025-08-14T21:18:10.0219717Z * [new tag] trunk/90b78ee50f73b5c963996076a3d54b74b1b965be -> trunk/90b78ee50f73b5c963996076a3d54b74b1b965be 2025-08-14T21:18:10.0224127Z * [new tag] trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6 -> trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6 2025-08-14T21:18:10.0224432Z * [new tag] trunk/95210cc409dd578988c7116b47725c304dea54c7 -> trunk/95210cc409dd578988c7116b47725c304dea54c7 2025-08-14T21:18:10.0224661Z * [new tag] trunk/96bd33b2de79598566df395f32e27c4d33673f05 -> trunk/96bd33b2de79598566df395f32e27c4d33673f05 2025-08-14T21:18:10.0224893Z * [new tag] trunk/9708fcf92db88b80b9010c68662d634434da3106 -> trunk/9708fcf92db88b80b9010c68662d634434da3106 2025-08-14T21:18:10.0225130Z * [new tag] trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8 -> trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8 2025-08-14T21:18:10.0225361Z * [new tag] trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8 -> trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8 2025-08-14T21:18:10.0225586Z * [new tag] trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd -> trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd 2025-08-14T21:18:10.0225809Z * [new tag] trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd -> trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd 2025-08-14T21:18:10.0226039Z * [new tag] trunk/9a0f7a3bb01b235ea04581ee540970a098071b72 -> trunk/9a0f7a3bb01b235ea04581ee540970a098071b72 2025-08-14T21:18:10.0226267Z * [new tag] trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8 -> trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8 2025-08-14T21:18:10.0226502Z * [new tag] trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df -> trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df 2025-08-14T21:18:10.0226867Z * [new tag] trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc -> trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc 2025-08-14T21:18:10.0227131Z * [new tag] trunk/9e07673deb212c87b1c6fea23799a97474c476ed -> trunk/9e07673deb212c87b1c6fea23799a97474c476ed 2025-08-14T21:18:10.0227516Z * [new tag] trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09 -> trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09 2025-08-14T21:18:10.0227837Z * [new tag] trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674 -> trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674 2025-08-14T21:18:10.0228151Z * [new tag] trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715 -> trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715 2025-08-14T21:18:10.0228458Z * [new tag] trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69 -> trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69 2025-08-14T21:18:10.0228773Z * [new tag] trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c -> trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c 2025-08-14T21:18:10.0229498Z * [new tag] trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600 -> trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600 2025-08-14T21:18:10.0229803Z * [new tag] trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b -> trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b 2025-08-14T21:18:10.0230070Z * [new tag] trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae -> trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae 2025-08-14T21:18:10.0230477Z * [new tag] trunk/a5652407e4f3d772fc44486ac2abf756decf0861 -> trunk/a5652407e4f3d772fc44486ac2abf756decf0861 2025-08-14T21:18:10.0230957Z * [new tag] trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b -> trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b 2025-08-14T21:18:10.0231352Z * [new tag] trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332 -> trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332 2025-08-14T21:18:10.0231772Z * [new tag] trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883 -> trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883 2025-08-14T21:18:10.0232172Z * [new tag] trunk/adcca7d9a1c053495e99012de801b2ea237faad0 -> trunk/adcca7d9a1c053495e99012de801b2ea237faad0 2025-08-14T21:18:10.0232625Z * [new tag] trunk/af10f1f86cc4effc93142a447693d8be55966615 -> trunk/af10f1f86cc4effc93142a447693d8be55966615 2025-08-14T21:18:10.0233422Z * [new tag] trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c -> trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c 2025-08-14T21:18:10.0233845Z * [new tag] trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107 -> trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107 2025-08-14T21:18:10.0234101Z * [new tag] trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5 -> trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5 2025-08-14T21:18:10.0234667Z * [new tag] trunk/b1a602762e6a6674b406a3137e7e7a678885a97b -> trunk/b1a602762e6a6674b406a3137e7e7a678885a97b 2025-08-14T21:18:10.0237437Z * [new tag] trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc -> trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc 2025-08-14T21:18:10.0237879Z * [new tag] trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753 -> trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753 2025-08-14T21:18:10.0238236Z * [new tag] trunk/b4596895b9d85a686c2cb978938b0a7797b3690a -> trunk/b4596895b9d85a686c2cb978938b0a7797b3690a 2025-08-14T21:18:10.0238570Z * [new tag] trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02 -> trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02 2025-08-14T21:18:10.0238829Z * [new tag] trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf -> trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf 2025-08-14T21:18:10.0239190Z * [new tag] trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64 -> trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64 2025-08-14T21:18:10.0239577Z * [new tag] trunk/b7db86600a2614adc71c92ca42d359a7ac534d78 -> trunk/b7db86600a2614adc71c92ca42d359a7ac534d78 2025-08-14T21:18:10.0239797Z * [new tag] trunk/b9003ed3d87699e81e436719625a21996a6654e5 -> trunk/b9003ed3d87699e81e436719625a21996a6654e5 2025-08-14T21:18:10.0241712Z * [new tag] trunk/b90feeac86bda00afc2789321bcd706015ff44e3 -> trunk/b90feeac86bda00afc2789321bcd706015ff44e3 2025-08-14T21:18:10.0242030Z * [new tag] trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8 -> trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8 2025-08-14T21:18:10.0242498Z * [new tag] trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4 -> trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4 2025-08-14T21:18:10.0243083Z * [new tag] trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491 -> trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491 2025-08-14T21:18:10.0243696Z * [new tag] trunk/bcf23ecc476df2bd7479f142567213e2623308ee -> trunk/bcf23ecc476df2bd7479f142567213e2623308ee 2025-08-14T21:18:10.0244476Z * [new tag] trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff -> trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff 2025-08-14T21:18:10.0244905Z * [new tag] trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941 -> trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941 2025-08-14T21:18:10.0246026Z * [new tag] trunk/bfc873d02ec413344717493e4175a902921359fd -> trunk/bfc873d02ec413344717493e4175a902921359fd 2025-08-14T21:18:10.0246502Z * [new tag] trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca -> trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca 2025-08-14T21:18:10.0247014Z * [new tag] trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431 -> trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431 2025-08-14T21:18:10.0247518Z * [new tag] trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4 -> trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4 2025-08-14T21:18:10.0248384Z * [new tag] trunk/c5ec5458a547f7a774468ea0eb2258d3de596492 -> trunk/c5ec5458a547f7a774468ea0eb2258d3de596492 2025-08-14T21:18:10.0248805Z * [new tag] trunk/c5efc5c8a66eca84865015058b3221013ebfe685 -> trunk/c5efc5c8a66eca84865015058b3221013ebfe685 2025-08-14T21:18:10.0251054Z * [new tag] trunk/c6563341208003f64c131854a9cf029555f786d2 -> trunk/c6563341208003f64c131854a9cf029555f786d2 2025-08-14T21:18:10.0251472Z * [new tag] trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e -> trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e 2025-08-14T21:18:10.0251850Z * [new tag] trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23 -> trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23 2025-08-14T21:18:10.0252201Z * [new tag] trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5 -> trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5 2025-08-14T21:18:10.0252889Z * [new tag] trunk/c86040a8e68f754b90a84099187d3624954c7f36 -> trunk/c86040a8e68f754b90a84099187d3624954c7f36 2025-08-14T21:18:10.0253190Z * [new tag] trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4 -> trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4 2025-08-14T21:18:10.0253446Z * [new tag] trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9 -> trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9 2025-08-14T21:18:10.0253723Z * [new tag] trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff -> trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff 2025-08-14T21:18:10.0254347Z * [new tag] trunk/cbffde774557752cf20447d42d99ec6102673c31 -> trunk/cbffde774557752cf20447d42d99ec6102673c31 2025-08-14T21:18:10.0254949Z * [new tag] trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc -> trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc 2025-08-14T21:18:10.0255544Z * [new tag] trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf -> trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf 2025-08-14T21:18:10.0256112Z * [new tag] trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81 -> trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81 2025-08-14T21:18:10.0257323Z * [new tag] trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0 -> trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0 2025-08-14T21:18:10.0257710Z * [new tag] trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2 -> trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2 2025-08-14T21:18:10.0258130Z * [new tag] trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3 -> trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3 2025-08-14T21:18:10.0258708Z * [new tag] trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c -> trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c 2025-08-14T21:18:10.0260630Z * [new tag] trunk/d3d359dbafa89173a371e2637f22b47398e94a24 -> trunk/d3d359dbafa89173a371e2637f22b47398e94a24 2025-08-14T21:18:10.0261045Z * [new tag] trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1 -> trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1 2025-08-14T21:18:10.0261427Z * [new tag] trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f -> trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f 2025-08-14T21:18:10.0261799Z * [new tag] trunk/d556586448f3caab85673c7da0978fe31c7748f7 -> trunk/d556586448f3caab85673c7da0978fe31c7748f7 2025-08-14T21:18:10.0262118Z * [new tag] trunk/d670304001429a1a833255a918ed788d7ec4989a -> trunk/d670304001429a1a833255a918ed788d7ec4989a 2025-08-14T21:18:10.0265238Z * [new tag] trunk/d6786741a77aba200c78002646cc069b7a1799b0 -> trunk/d6786741a77aba200c78002646cc069b7a1799b0 2025-08-14T21:18:10.0265780Z * [new tag] trunk/d68c323692dedcbb74e670801e3502944fd790ff -> trunk/d68c323692dedcbb74e670801e3502944fd790ff 2025-08-14T21:18:10.0266168Z * [new tag] trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c -> trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c 2025-08-14T21:18:10.0266411Z * [new tag] trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd -> trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd 2025-08-14T21:18:10.0266646Z * [new tag] trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35 -> trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35 2025-08-14T21:18:10.0266879Z * [new tag] trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4 -> trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4 2025-08-14T21:18:10.0268486Z * [new tag] trunk/db763b17175553ba09637362eb9773a91997a7ad -> trunk/db763b17175553ba09637362eb9773a91997a7ad 2025-08-14T21:18:10.0268713Z * [new tag] trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f -> trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f 2025-08-14T21:18:10.0268950Z * [new tag] trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd -> trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd 2025-08-14T21:18:10.0269163Z * [new tag] trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8 -> trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8 2025-08-14T21:18:10.0269409Z * [new tag] trunk/deea71a90e05eb320c04bebfead5317746637f0d -> trunk/deea71a90e05eb320c04bebfead5317746637f0d 2025-08-14T21:18:10.0269635Z * [new tag] trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948 -> trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948 2025-08-14T21:18:10.0269860Z * [new tag] trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df -> trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df 2025-08-14T21:18:10.0274233Z * [new tag] trunk/e248719ac03c103767ab72034f6b9fd56855bf98 -> trunk/e248719ac03c103767ab72034f6b9fd56855bf98 2025-08-14T21:18:10.0274667Z * [new tag] trunk/e49762026070f66be41bfa6537fbcf9bfc24e558 -> trunk/e49762026070f66be41bfa6537fbcf9bfc24e558 2025-08-14T21:18:10.0275057Z * [new tag] trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168 -> trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168 2025-08-14T21:18:10.0275439Z * [new tag] trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f -> trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f 2025-08-14T21:18:10.0275827Z * [new tag] trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58 -> trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58 2025-08-14T21:18:10.0276094Z * [new tag] trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3 -> trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3 2025-08-14T21:18:10.0276356Z * [new tag] trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a -> trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a 2025-08-14T21:18:10.0276580Z * [new tag] trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c -> trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c 2025-08-14T21:18:10.0276814Z * [new tag] trunk/eac2d9d695a32dd456050f45cac35134ec3809f4 -> trunk/eac2d9d695a32dd456050f45cac35134ec3809f4 2025-08-14T21:18:10.0277048Z * [new tag] trunk/ecde76c764752540edf9ef62a97936c86d984b17 -> trunk/ecde76c764752540edf9ef62a97936c86d984b17 2025-08-14T21:18:10.0277282Z * [new tag] trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b -> trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b 2025-08-14T21:18:10.0277525Z * [new tag] trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb -> trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb 2025-08-14T21:18:10.0277773Z * [new tag] trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2 -> trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2 2025-08-14T21:18:10.0278015Z * [new tag] trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e -> trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e 2025-08-14T21:18:10.0278354Z * [new tag] trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c -> trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c 2025-08-14T21:18:10.0280821Z * [new tag] trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c -> trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c 2025-08-14T21:18:10.0281101Z * [new tag] trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76 -> trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76 2025-08-14T21:18:10.0281348Z * [new tag] trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94 -> trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94 2025-08-14T21:18:10.0281594Z * [new tag] trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35 -> trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35 2025-08-14T21:18:10.0281840Z * [new tag] trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640 -> trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640 2025-08-14T21:18:10.0282065Z * [new tag] trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5 -> trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5 2025-08-14T21:18:10.0282308Z * [new tag] trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc -> trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc 2025-08-14T21:18:10.0282533Z * [new tag] trunk/f341077ce4710172da20cfad916ee37159bfe9fe -> trunk/f341077ce4710172da20cfad916ee37159bfe9fe 2025-08-14T21:18:10.0283084Z * [new tag] trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7 -> trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7 2025-08-14T21:18:10.0283520Z * [new tag] trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c -> trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c 2025-08-14T21:18:10.0283926Z * [new tag] trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457 -> trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457 2025-08-14T21:18:10.0284188Z * [new tag] trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344 -> trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344 2025-08-14T21:18:10.0289008Z * [new tag] trunk/f8f0414a5983ff481a2188e0c18594150430c8c5 -> trunk/f8f0414a5983ff481a2188e0c18594150430c8c5 2025-08-14T21:18:10.0289460Z * [new tag] trunk/f95b58c2844b3444cd8446fed8570729dc4216eb -> trunk/f95b58c2844b3444cd8446fed8570729dc4216eb 2025-08-14T21:18:10.0289839Z * [new tag] trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d -> trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d 2025-08-14T21:18:10.0290209Z * [new tag] trunk/fb887c3bb588cfe782615e67f6c26db636b8539b -> trunk/fb887c3bb588cfe782615e67f6c26db636b8539b 2025-08-14T21:18:10.0290718Z * [new tag] trunk/fc25c68f20f772290927a7031b998b92615259cf -> trunk/fc25c68f20f772290927a7031b998b92615259cf 2025-08-14T21:18:10.0291079Z * [new tag] trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb -> trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb 2025-08-14T21:18:10.0291749Z * [new tag] trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb -> trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb 2025-08-14T21:18:10.0292063Z * [new tag] trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08 -> trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08 2025-08-14T21:18:10.0292319Z * [new tag] trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab -> trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab 2025-08-14T21:18:10.0292554Z * [new tag] trunk/ff0d56d03592aa03f3ced8359241d21df1783393 -> trunk/ff0d56d03592aa03f3ced8359241d21df1783393 2025-08-14T21:18:10.0292685Z * [new tag] v0.1.1 -> v0.1.1 2025-08-14T21:18:10.0292796Z * [new tag] v0.1.10 -> v0.1.10 2025-08-14T21:18:10.0292900Z * [new tag] v0.1.11 -> v0.1.11 2025-08-14T21:18:10.0293003Z * [new tag] v0.1.12 -> v0.1.12 2025-08-14T21:18:10.0293108Z * [new tag] v0.1.2 -> v0.1.2 2025-08-14T21:18:10.0293219Z * [new tag] v0.1.3 -> v0.1.3 2025-08-14T21:18:10.0293469Z * [new tag] v0.1.4 -> v0.1.4 2025-08-14T21:18:10.0293752Z * [new tag] v0.1.5 -> v0.1.5 2025-08-14T21:18:10.0293872Z * [new tag] v0.1.6 -> v0.1.6 2025-08-14T21:18:10.0294312Z * [new tag] v0.1.7 -> v0.1.7 2025-08-14T21:18:10.0295461Z * [new tag] v0.1.8 -> v0.1.8 2025-08-14T21:18:10.0295758Z * [new tag] v0.1.9 -> v0.1.9 2025-08-14T21:18:10.0295877Z * [new tag] v0.2.0 -> v0.2.0 2025-08-14T21:18:10.0296465Z * [new tag] v0.3.0 -> v0.3.0 2025-08-14T21:18:10.0299619Z * [new tag] v0.3.1 -> v0.3.1 2025-08-14T21:18:10.0299912Z * [new tag] v0.4.0 -> v0.4.0 2025-08-14T21:18:10.0300033Z * [new tag] v0.4.1 -> v0.4.1 2025-08-14T21:18:10.0300264Z * [new tag] v1.0.0 -> v1.0.0 2025-08-14T21:18:10.0300394Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-08-14T21:18:10.0300540Z * [new tag] v1.0.1 -> v1.0.1 2025-08-14T21:18:10.0300659Z * [new tag] v1.0rc0 -> v1.0rc0 2025-08-14T21:18:10.0301417Z * [new tag] v1.0rc1 -> v1.0rc1 2025-08-14T21:18:10.0301889Z * [new tag] v1.1.0 -> v1.1.0 2025-08-14T21:18:10.0302132Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-08-14T21:18:10.0304579Z * [new tag] v1.10.0 -> v1.10.0 2025-08-14T21:18:10.0309275Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-08-14T21:18:10.0312971Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-08-14T21:18:10.0317255Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-08-14T21:18:10.0317385Z * [new tag] v1.10.1 -> v1.10.1 2025-08-14T21:18:10.0317833Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-08-14T21:18:10.0317963Z * [new tag] v1.10.2 -> v1.10.2 2025-08-14T21:18:10.0318084Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-08-14T21:18:10.0318330Z * [new tag] v1.11.0 -> v1.11.0 2025-08-14T21:18:10.0318477Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-08-14T21:18:10.0318582Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-08-14T21:18:10.0318683Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-08-14T21:18:10.0318797Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-08-14T21:18:10.0318901Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-08-14T21:18:10.0319036Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-08-14T21:18:10.0319137Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-08-14T21:18:10.0319403Z * [new tag] v1.12.0 -> v1.12.0 2025-08-14T21:18:10.0319520Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-08-14T21:18:10.0319626Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-08-14T21:18:10.0319725Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-08-14T21:18:10.0319835Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-08-14T21:18:10.0319936Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-08-14T21:18:10.0320045Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-08-14T21:18:10.0320148Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-08-14T21:18:10.0320303Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-08-14T21:18:10.0320419Z * [new tag] v1.12.1 -> v1.12.1 2025-08-14T21:18:10.0320519Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-08-14T21:18:10.0320627Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-08-14T21:18:10.0320738Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-08-14T21:18:10.0320838Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-08-14T21:18:10.0320943Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-08-14T21:18:10.0321593Z * [new tag] v1.13.0 -> v1.13.0 2025-08-14T21:18:10.0321745Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-08-14T21:18:10.0322304Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-08-14T21:18:10.0322980Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-08-14T21:18:10.0324328Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-08-14T21:18:10.0324442Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-08-14T21:18:10.0324546Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-08-14T21:18:10.0326624Z * [new tag] v1.13.1 -> v1.13.1 2025-08-14T21:18:10.0326773Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-08-14T21:18:10.0326888Z * [new tag] v1.2.0 -> v1.2.0 2025-08-14T21:18:10.0327007Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-08-14T21:18:10.0327492Z * [new tag] v1.3.0 -> v1.3.0 2025-08-14T21:18:10.0328002Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-08-14T21:18:10.0328384Z * [new tag] v1.3.1 -> v1.3.1 2025-08-14T21:18:10.0329213Z * [new tag] v1.4.0 -> v1.4.0 2025-08-14T21:18:10.0329596Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-08-14T21:18:10.0330109Z * [new tag] v1.4.1 -> v1.4.1 2025-08-14T21:18:10.0330779Z * [new tag] v1.5.0 -> v1.5.0 2025-08-14T21:18:10.0331249Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-08-14T21:18:10.0333999Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-08-14T21:18:10.0334133Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-08-14T21:18:10.0334246Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-08-14T21:18:10.0334347Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-08-14T21:18:10.0334470Z * [new tag] v1.5.1 -> v1.5.1 2025-08-14T21:18:10.0334866Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-08-14T21:18:10.0334978Z * [new tag] v1.6.0 -> v1.6.0 2025-08-14T21:18:10.0337031Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-08-14T21:18:10.0337249Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-08-14T21:18:10.0337431Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-08-14T21:18:10.0337546Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-08-14T21:18:10.0339602Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-08-14T21:18:10.0339904Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-08-14T21:18:10.0340037Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-08-14T21:18:10.0340184Z * [new tag] v1.7.0 -> v1.7.0 2025-08-14T21:18:10.0340825Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-08-14T21:18:10.0341890Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-08-14T21:18:10.0342035Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-08-14T21:18:10.0342510Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-08-14T21:18:10.0343407Z * [new tag] v1.7.1 -> v1.7.1 2025-08-14T21:18:10.0343695Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-08-14T21:18:10.0346793Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-08-14T21:18:10.0346931Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-08-14T21:18:10.0347053Z * [new tag] v1.8.0 -> v1.8.0 2025-08-14T21:18:10.0347162Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-08-14T21:18:10.0347267Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-08-14T21:18:10.0347427Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-08-14T21:18:10.0348126Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-08-14T21:18:10.0348341Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-08-14T21:18:10.0348879Z * [new tag] v1.8.1 -> v1.8.1 2025-08-14T21:18:10.0349769Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-08-14T21:18:10.0349895Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-08-14T21:18:10.0350344Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-08-14T21:18:10.0352921Z * [new tag] v1.8.2 -> v1.8.2 2025-08-14T21:18:10.0353064Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-08-14T21:18:10.0353174Z * [new tag] v1.9.0 -> v1.9.0 2025-08-14T21:18:10.0353306Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-08-14T21:18:10.0353815Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-08-14T21:18:10.0361885Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-08-14T21:18:10.0362031Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-08-14T21:18:10.0362356Z * [new tag] v1.9.1 -> v1.9.1 2025-08-14T21:18:10.0362471Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-08-14T21:18:10.0362572Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-08-14T21:18:10.0362682Z * [new tag] v2.0.0 -> v2.0.0 2025-08-14T21:18:10.0362973Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-08-14T21:18:10.0363082Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-08-14T21:18:10.0363208Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-08-14T21:18:10.0363311Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-08-14T21:18:10.0363425Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-08-14T21:18:10.0363527Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-08-14T21:18:10.0363631Z * [new tag] v2.0.1 -> v2.0.1 2025-08-14T21:18:10.0363749Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-08-14T21:18:10.0363861Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-08-14T21:18:10.0371258Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-08-14T21:18:10.0375465Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-08-14T21:18:10.0379821Z * [new tag] v2.1.0 -> v2.1.0 2025-08-14T21:18:10.0379975Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-08-14T21:18:10.0380296Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-08-14T21:18:10.0380426Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-08-14T21:18:10.0380534Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-08-14T21:18:10.0380638Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-08-14T21:18:10.0380757Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-08-14T21:18:10.0380863Z * [new tag] v2.1.1 -> v2.1.1 2025-08-14T21:18:10.0380963Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-08-14T21:18:10.0381071Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-08-14T21:18:10.0381196Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-08-14T21:18:10.0381307Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-08-14T21:18:10.0381414Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-08-14T21:18:10.0381521Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-08-14T21:18:10.0381633Z * [new tag] v2.1.2 -> v2.1.2 2025-08-14T21:18:10.0381734Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-08-14T21:18:10.0381846Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-08-14T21:18:10.0381947Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-08-14T21:18:10.0382047Z * [new tag] v2.2.0 -> v2.2.0 2025-08-14T21:18:10.0382154Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-08-14T21:18:10.0382253Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-08-14T21:18:10.0382350Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-08-14T21:18:10.0382461Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-08-14T21:18:10.0382560Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-08-14T21:18:10.0382667Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-08-14T21:18:10.0382766Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-08-14T21:18:10.0382866Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-08-14T21:18:10.0383023Z * [new tag] v2.2.1 -> v2.2.1 2025-08-14T21:18:10.0383122Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-08-14T21:18:10.0383227Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-08-14T21:18:10.0383327Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-08-14T21:18:10.0383423Z * [new tag] v2.2.2 -> v2.2.2 2025-08-14T21:18:10.0383542Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-08-14T21:18:10.0383636Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-08-14T21:18:10.0383731Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-08-14T21:18:10.0383829Z * [new tag] v2.3.0 -> v2.3.0 2025-08-14T21:18:10.0383921Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-08-14T21:18:10.0384035Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-08-14T21:18:10.0384315Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-08-14T21:18:10.0384426Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-08-14T21:18:10.0384885Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-08-14T21:18:10.0388549Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-08-14T21:18:10.0388843Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-08-14T21:18:10.0389121Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-08-14T21:18:10.0389243Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-08-14T21:18:10.0389487Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-08-14T21:18:10.0389612Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-08-14T21:18:10.0389805Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-08-14T21:18:10.0389939Z * [new tag] v2.3.1 -> v2.3.1 2025-08-14T21:18:10.0390160Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-08-14T21:18:10.0390953Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-08-14T21:18:10.0394354Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-08-14T21:18:10.0394813Z * [new tag] v2.4.0 -> v2.4.0 2025-08-14T21:18:10.0394942Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-08-14T21:18:10.0395047Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-08-14T21:18:10.0395164Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-08-14T21:18:10.0395268Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-08-14T21:18:10.0395785Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-08-14T21:18:10.0396176Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-08-14T21:18:10.0399158Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-08-14T21:18:10.0399306Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-08-14T21:18:10.0399413Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-08-14T21:18:10.0399536Z * [new tag] v2.4.1 -> v2.4.1 2025-08-14T21:18:10.0399688Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-08-14T21:18:10.0400111Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-08-14T21:18:10.0400745Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-08-14T21:18:10.0401198Z * [new tag] v2.5.0 -> v2.5.0 2025-08-14T21:18:10.0402278Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-08-14T21:18:10.0402599Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-08-14T21:18:10.0403312Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-08-14T21:18:10.0403689Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-08-14T21:18:10.0404745Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-08-14T21:18:10.0404990Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-08-14T21:18:10.0406110Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-08-14T21:18:10.0406341Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-08-14T21:18:10.0408352Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-08-14T21:18:10.0408496Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-08-14T21:18:10.0408611Z * [new tag] v2.5.1 -> v2.5.1 2025-08-14T21:18:10.0408766Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-08-14T21:18:10.0409073Z * [new tag] v2.6.0 -> v2.6.0 2025-08-14T21:18:10.0410475Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-08-14T21:18:10.0410782Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-08-14T21:18:10.0410914Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-08-14T21:18:10.0414011Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-08-14T21:18:10.0414544Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-08-14T21:18:10.0414662Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-08-14T21:18:10.0414775Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-08-14T21:18:10.0414948Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-08-14T21:18:10.0415643Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-08-14T21:18:10.0418496Z * [new tag] v2.7.0 -> v2.7.0 2025-08-14T21:18:10.0418789Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-08-14T21:18:10.0418940Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-08-14T21:18:10.0419054Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-08-14T21:18:10.0419277Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-08-14T21:18:10.0419419Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-08-14T21:18:10.0423441Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-08-14T21:18:10.0423749Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-08-14T21:18:10.0423877Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-08-14T21:18:10.0424082Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-08-14T21:18:10.0424226Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-08-14T21:18:10.0424376Z * [new tag] v2.7.1 -> v2.7.1 2025-08-14T21:18:10.0424506Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-08-14T21:18:10.0424694Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-08-14T21:18:10.0425369Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-08-14T21:18:10.0426122Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-08-14T21:18:10.0426503Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-08-14T21:18:10.0426928Z * [new tag] v2.8.0 -> v2.8.0 2025-08-14T21:18:10.0428302Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-08-14T21:18:10.0428624Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-08-14T21:18:10.0429019Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-08-14T21:18:10.0429483Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-08-14T21:18:10.0430707Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-08-14T21:18:10.0430869Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-08-14T21:18:10.0433328Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-08-14T21:18:10.0433630Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-08-14T21:18:10.0433791Z * [new tag] whc_flight_1 -> whc_flight_1 2025-08-14T21:18:10.0433985Z * [new tag] whc_flight_2 -> whc_flight_2 2025-08-14T21:18:10.0434260Z * [new tag] whc_flight_4 -> whc_flight_4 2025-08-14T21:18:10.0920350Z [command]/usr/bin/git rev-parse --verify --quiet 1fc683cf17c8c673044538d10266c00f92987be2^{object} 2025-08-14T21:18:10.0943131Z 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:18:10.0955431Z ##[endgroup] 2025-08-14T21:18:10.0955790Z ##[group]Determining the checkout info 2025-08-14T21:18:10.0959965Z ##[endgroup] 2025-08-14T21:18:10.0960114Z [command]/usr/bin/git sparse-checkout disable 2025-08-14T21:18:10.1002556Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-08-14T21:18:10.1035622Z ##[group]Checking out the ref 2025-08-14T21:18:10.1036036Z [command]/usr/bin/git checkout --progress --force 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:18:11.1288221Z Updating files: 98% (19168/19474) 2025-08-14T21:18:11.1417229Z Updating files: 99% (19280/19474) 2025-08-14T21:18:11.1422199Z Updating files: 100% (19474/19474) 2025-08-14T21:18:11.1427629Z Updating files: 100% (19474/19474), done. 2025-08-14T21:18:11.1658837Z Note: switching to '1fc683cf17c8c673044538d10266c00f92987be2'. 2025-08-14T21:18:11.1659543Z 2025-08-14T21:18:11.1659774Z You are in 'detached HEAD' state. You can look around, make experimental 2025-08-14T21:18:11.1660159Z changes and commit them, and you can discard any commits you make in this 2025-08-14T21:18:11.1660548Z state without impacting any branches by switching back to a branch. 2025-08-14T21:18:11.1660771Z 2025-08-14T21:18:11.1660937Z If you want to create a new branch to retain commits you create, you may 2025-08-14T21:18:11.1661302Z do so (now or later) by using -c with the switch command. Example: 2025-08-14T21:18:11.1661505Z 2025-08-14T21:18:11.1661604Z git switch -c 2025-08-14T21:18:11.1661758Z 2025-08-14T21:18:11.1661864Z Or undo this operation with: 2025-08-14T21:18:11.1661996Z 2025-08-14T21:18:11.1662079Z git switch - 2025-08-14T21:18:11.1662185Z 2025-08-14T21:18:11.1662360Z Turn off this advice by setting config variable advice.detachedHead to false 2025-08-14T21:18:11.1662593Z 2025-08-14T21:18:11.1662868Z HEAD is now at 1fc683cf17c [Inductor] Allow indexing a flexible layout for extract_input_node_reduction_ranges (#160645) 2025-08-14T21:18:11.1707851Z ##[endgroup] 2025-08-14T21:18:11.1708236Z ##[group]Setting up auth for fetching submodules 2025-08-14T21:18:11.1712696Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-08-14T21:18:11.1789107Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-08-14T21:18:11.1826102Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-08-14T21:18:11.1861327Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-08-14T21:18:11.1885207Z ##[endgroup] 2025-08-14T21:18:11.1885513Z ##[group]Fetching submodules 2025-08-14T21:18:11.1895976Z [command]/usr/bin/git submodule sync --recursive 2025-08-14T21:18:11.2236897Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-08-14T21:18:11.2561572Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-08-14T21:18:11.2562863Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-08-14T21:18:11.2563519Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-08-14T21:18:11.2564134Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-08-14T21:18:11.2564718Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-08-14T21:18:11.2570965Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-08-14T21:18:11.2571962Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-08-14T21:18:11.2572742Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-08-14T21:18:11.2573555Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-08-14T21:18:11.2574238Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-08-14T21:18:11.2577695Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-08-14T21:18:11.2578670Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-08-14T21:18:11.2583365Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-08-14T21:18:11.2583975Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-08-14T21:18:11.2588928Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-08-14T21:18:11.2591188Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-08-14T21:18:11.2594780Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-08-14T21:18:11.2595519Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-08-14T21:18:11.3004631Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:18:11.3005510Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-08-14T21:18:11.3006238Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-08-14T21:18:11.3011366Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-08-14T21:18:11.3012126Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-08-14T21:18:11.3017048Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-08-14T21:18:11.3018901Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-08-14T21:18:11.3022904Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-08-14T21:18:11.3023537Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-08-14T21:18:11.3029133Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-08-14T21:18:11.3030192Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-08-14T21:18:11.3030853Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-08-14T21:18:11.3033310Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-08-14T21:18:11.3036316Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-08-14T21:18:11.3039150Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-08-14T21:18:11.3042281Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-08-14T21:18:11.3052170Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-08-14T21:18:11.3052994Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-08-14T21:18:11.3058381Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-08-14T21:18:11.3094596Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-08-14T21:18:11.5314398Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-08-14T21:18:11.5315556Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-08-14T21:18:11.5316030Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-08-14T21:18:11.5364378Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-08-14T21:18:11.8279647Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-08-14T21:18:11.8280537Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-08-14T21:18:11.8281330Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-08-14T21:18:11.8282110Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-08-14T21:18:11.8283013Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-08-14T21:18:11.8283834Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-08-14T21:18:11.8284606Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-08-14T21:18:11.8294715Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-08-14T21:18:12.0353125Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-08-14T21:18:12.0354076Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-08-14T21:18:12.0354865Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-08-14T21:18:12.0355652Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-08-14T21:18:12.0356515Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-08-14T21:18:12.0993495Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-08-14T21:18:13.1790774Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-08-14T21:18:13.1791324Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-08-14T21:18:13.1791802Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-08-14T21:18:13.1792506Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-08-14T21:18:13.1792982Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-08-14T21:18:13.1793459Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-08-14T21:18:13.1793928Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-08-14T21:18:13.1794383Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-08-14T21:18:13.2792864Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-08-14T21:18:25.1264084Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-08-14T21:18:25.1265819Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-08-14T21:18:25.1266398Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-08-14T21:18:25.1266969Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-08-14T21:18:25.1267549Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-08-14T21:18:25.1267995Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-08-14T21:18:25.1268440Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-08-14T21:18:25.1268885Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-08-14T21:18:25.1269573Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-08-14T21:18:25.1400490Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-08-14T21:18:25.1520309Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-08-14T21:18:25.1610742Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-08-14T21:18:25.1832528Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-08-14T21:18:25.2533603Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-08-14T21:18:25.3003186Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-08-14T21:18:25.8430681Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-08-14T21:18:25.9724111Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-08-14T21:18:25.9745103Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:18:25.9771363Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-08-14T21:18:29.3073970Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-08-14T21:18:29.3281756Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-08-14T21:18:29.5757161Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-08-14T21:18:29.6209861Z Submodule path 'third_party/cpp-httplib': checked out '3af7f2c16147f3fbc6e4d717032daf505dc1652c' 2025-08-14T21:18:29.7101662Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-08-14T21:18:29.7507642Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-08-14T21:18:30.2868204Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-08-14T21:18:30.3983113Z Submodule path 'third_party/fbgemm': checked out '21c7d30c526c0f1ad873ecc632dca6cfa8a69067' 2025-08-14T21:18:30.4003857Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-08-14T21:18:30.4004727Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:18:30.4005530Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:18:30.4010736Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-08-14T21:18:30.4011642Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-08-14T21:18:30.4012511Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:18:30.4013257Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-08-14T21:18:30.4039324Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-08-14T21:18:31.5183695Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-08-14T21:18:31.5184296Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-08-14T21:18:31.5185124Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-08-14T21:18:31.5694548Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-08-14T21:18:31.6698454Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-08-14T21:18:32.6598655Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-08-14T21:18:36.8688229Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-08-14T21:18:37.0816257Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-08-14T21:18:37.1767447Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-08-14T21:18:37.6983081Z Submodule path 'third_party/fbgemm/external/cutlass': checked out 'b40777404c174b9694a870bff5c13ce6b7f656ad' 2025-08-14T21:18:37.7390219Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-14T21:18:37.7509213Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out 'a4337c69fe0e2552a7b7b0669178926beeed828c' 2025-08-14T21:18:37.8385726Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-08-14T21:18:37.9008055Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-08-14T21:18:37.9025292Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:18:37.9026142Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:18:37.9054102Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-08-14T21:18:40.9688138Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-08-14T21:18:41.1658995Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-08-14T21:18:41.6614052Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-08-14T21:18:41.7768757Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-08-14T21:18:41.8079544Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-08-14T21:18:41.8433069Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-08-14T21:18:41.8657335Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-08-14T21:18:41.9076687Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-14T21:18:41.9199778Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-08-14T21:18:41.9215713Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-08-14T21:18:41.9240231Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-08-14T21:18:53.2458842Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-08-14T21:18:53.2649034Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-08-14T21:18:53.3538785Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-08-14T21:18:53.3554060Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:18:53.3555340Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:18:53.3558257Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:18:53.3587522Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-08-14T21:18:54.0014578Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-08-14T21:18:54.6059302Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-08-14T21:18:54.6797925Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-08-14T21:18:54.6812682Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:18:54.6813424Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:18:54.6821343Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:18:54.6823684Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:18:54.6824621Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:18:54.6825485Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:18:54.6826259Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:18:54.6826956Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:18:54.6855435Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-08-14T21:18:55.8593940Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-08-14T21:18:55.8594719Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-08-14T21:18:55.8595450Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-08-14T21:18:55.8596189Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-08-14T21:18:55.8596933Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-08-14T21:18:55.9200091Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-08-14T21:18:56.0204316Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-08-14T21:19:01.3574840Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-08-14T21:19:01.3743922Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-08-14T21:19:01.4078067Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-08-14T21:19:01.4212518Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-08-14T21:19:01.4223350Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:19:01.4253071Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-08-14T21:19:01.7465758Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-08-14T21:19:01.7633806Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-08-14T21:19:01.7999200Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-08-14T21:19:01.8899865Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-08-14T21:19:01.9057965Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-08-14T21:19:01.9414644Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-08-14T21:19:01.9952648Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-08-14T21:19:02.0336797Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-08-14T21:19:02.0686505Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-08-14T21:19:02.1672906Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-08-14T21:19:02.4593496Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-08-14T21:19:02.4624854Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-08-14T21:19:02.4654061Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-08-14T21:19:03.8392966Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-08-14T21:19:03.8991108Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-08-14T21:19:03.9011802Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:19:03.9012629Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:19:03.9013352Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:19:03.9017864Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:19:03.9020478Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:19:03.9021839Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:19:03.9023027Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:19:03.9023750Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:19:03.9053242Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-08-14T21:19:04.3394596Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-08-14T21:19:04.3395416Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-08-14T21:19:04.3396124Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-08-14T21:19:04.3396773Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-08-14T21:19:04.4396750Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-08-14T21:19:04.9959884Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-08-14T21:19:11.9766470Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-08-14T21:19:12.4082727Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-08-14T21:19:12.4458553Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-08-14T21:19:12.4624713Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-08-14T21:19:12.5569910Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-08-14T21:19:12.5709840Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-08-14T21:19:12.5852041Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-08-14T21:19:12.5990445Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-08-14T21:19:12.6008073Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:19:12.6009015Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:19:12.6036203Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-08-14T21:19:14.2503634Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'... 2025-08-14T21:19:14.4714222Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-08-14T21:19:14.5134584Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-08-14T21:19:14.8494182Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-08-14T21:19:14.8614179Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-08-14T21:19:15.0927167Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a' 2025-08-14T21:19:15.0949924Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:19:15.0950811Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest' 2025-08-14T21:19:15.0977080Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'... 2025-08-14T21:19:15.7488606Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'... 2025-08-14T21:19:16.0580898Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8' 2025-08-14T21:19:16.1258144Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081' 2025-08-14T21:19:16.1348358Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900' 2025-08-14T21:19:16.1463477Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8' 2025-08-14T21:19:16.1804936Z Submodule path 'third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-08-14T21:19:16.2070315Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67' 2025-08-14T21:19:16.2464028Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68' 2025-08-14T21:19:16.2707417Z Submodule path 'third_party/tensorpipe': checked out 'dacda0567d9f23d4bc503e1c4f84aa65f33ac38a' 2025-08-14T21:19:16.2721582Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:19:16.2722545Z Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:19:16.2724467Z Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:19:16.2725271Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:19:16.2760240Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/googletest'... 2025-08-14T21:19:17.3934723Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libnop'... 2025-08-14T21:19:17.3935377Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11'... 2025-08-14T21:19:17.4588147Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libuv'... 2025-08-14T21:19:17.5096704Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' 2025-08-14T21:19:17.5236992Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281' 2025-08-14T21:19:17.5879926Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b' 2025-08-14T21:19:17.6158631Z Submodule 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file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config remote.origin.url 2025-08-14T21:19:19.2661075Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:19:19.2708260Z 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 2025-08-14T21:19:19.3702286Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:' 2025-08-14T21:19:19.4042864Z Entering 'android/libs/fbjni' 2025-08-14T21:19:19.4086834Z Entering 'third_party/FP16' 2025-08-14T21:19:19.4136111Z Entering 'third_party/FXdiv' 2025-08-14T21:19:19.4181007Z Entering 'third_party/NNPACK' 2025-08-14T21:19:19.4225375Z Entering 'third_party/NVTX' 2025-08-14T21:19:19.4268097Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T21:19:19.4315972Z Entering 'third_party/XNNPACK' 2025-08-14T21:19:19.4373039Z Entering 'third_party/aiter' 2025-08-14T21:19:19.4415804Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:19:19.4467576Z Entering 'third_party/benchmark' 2025-08-14T21:19:19.4513517Z Entering 'third_party/composable_kernel' 2025-08-14T21:19:19.4566527Z Entering 'third_party/cpp-httplib' 2025-08-14T21:19:19.4613159Z Entering 'third_party/cpuinfo' 2025-08-14T21:19:19.4657234Z Entering 'third_party/cudnn_frontend' 2025-08-14T21:19:19.4700873Z Entering 'third_party/cutlass' 2025-08-14T21:19:19.4747820Z Entering 'third_party/fbgemm' 2025-08-14T21:19:19.4794761Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T21:19:19.4836990Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:19:19.4881568Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:19:19.4921456Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T21:19:19.4975317Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T21:19:19.5019200Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:19:19.5059055Z Entering 'third_party/fbgemm/external/json' 2025-08-14T21:19:19.5100316Z Entering 'third_party/flash-attention' 2025-08-14T21:19:19.5141026Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:19:19.5184949Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:19:19.5237033Z Entering 'third_party/flatbuffers' 2025-08-14T21:19:19.5283545Z Entering 'third_party/fmt' 2025-08-14T21:19:19.5324494Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:19:19.5373165Z Entering 'third_party/gloo' 2025-08-14T21:19:19.5416032Z Entering 'third_party/googletest' 2025-08-14T21:19:19.5459284Z Entering 'third_party/ideep' 2025-08-14T21:19:19.5497344Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T21:19:19.5544188Z Entering 'third_party/ittapi' 2025-08-14T21:19:19.5591734Z Entering 'third_party/kineto' 2025-08-14T21:19:19.5630576Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:19:19.5672998Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:19:19.5713042Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:19:19.5754764Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:19:19.5796395Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:19:19.5834430Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:19:19.5877891Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:19:19.5927868Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:19:19.5973464Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:19:19.6012723Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:19:19.6057947Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:19:19.6103783Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:19:19.6150246Z Entering 'third_party/kleidiai' 2025-08-14T21:19:19.6193262Z Entering 'third_party/mimalloc' 2025-08-14T21:19:19.6235895Z Entering 'third_party/nlohmann' 2025-08-14T21:19:19.6284490Z Entering 'third_party/onnx' 2025-08-14T21:19:19.6341196Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T21:19:19.6389962Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T21:19:19.6432178Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:19:19.6477532Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:19:19.6519264Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:19:19.6559947Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:19:19.6603360Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:19:19.6642496Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:19:19.6684906Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:19:19.6727091Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:19:19.6768521Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:19:19.6813935Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:19:19.6880260Z Entering 'third_party/pocketfft' 2025-08-14T21:19:19.6918342Z Entering 'third_party/protobuf' 2025-08-14T21:19:19.6960723Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:19:19.7002785Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T21:19:19.7048721Z Entering 'third_party/psimd' 2025-08-14T21:19:19.7088634Z Entering 'third_party/pthreadpool' 2025-08-14T21:19:19.7132372Z Entering 'third_party/pybind11' 2025-08-14T21:19:19.7174858Z Entering 'third_party/python-peachpy' 2025-08-14T21:19:19.7219971Z Entering 'third_party/sleef' 2025-08-14T21:19:19.7259735Z Entering 'third_party/tensorpipe' 2025-08-14T21:19:19.7299753Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:19:19.7340125Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:19:19.7382514Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:19:19.7432030Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:19:19.7471882Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:19:19.7533709Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-08-14T21:19:19.7842387Z Entering 'android/libs/fbjni' 2025-08-14T21:19:19.7890017Z Entering 'third_party/FP16' 2025-08-14T21:19:19.7930461Z Entering 'third_party/FXdiv' 2025-08-14T21:19:19.7974340Z Entering 'third_party/NNPACK' 2025-08-14T21:19:19.8018961Z Entering 'third_party/NVTX' 2025-08-14T21:19:19.8061259Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T21:19:19.8105439Z Entering 'third_party/XNNPACK' 2025-08-14T21:19:19.8162658Z Entering 'third_party/aiter' 2025-08-14T21:19:19.8202239Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:19:19.8258933Z Entering 'third_party/benchmark' 2025-08-14T21:19:19.8299059Z Entering 'third_party/composable_kernel' 2025-08-14T21:19:19.8354004Z Entering 'third_party/cpp-httplib' 2025-08-14T21:19:19.8395143Z Entering 'third_party/cpuinfo' 2025-08-14T21:19:19.8437294Z Entering 'third_party/cudnn_frontend' 2025-08-14T21:19:19.8484733Z Entering 'third_party/cutlass' 2025-08-14T21:19:19.8537176Z Entering 'third_party/fbgemm' 2025-08-14T21:19:19.8580195Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T21:19:19.8625320Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:19:19.8675952Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:19:19.8714082Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T21:19:19.8759292Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T21:19:19.8801124Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:19:19.8840686Z Entering 'third_party/fbgemm/external/json' 2025-08-14T21:19:19.8889963Z Entering 'third_party/flash-attention' 2025-08-14T21:19:19.8934289Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:19:19.8983546Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:19:19.9035739Z Entering 'third_party/flatbuffers' 2025-08-14T21:19:19.9079055Z Entering 'third_party/fmt' 2025-08-14T21:19:19.9120944Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:19:19.9163809Z Entering 'third_party/gloo' 2025-08-14T21:19:19.9210171Z Entering 'third_party/googletest' 2025-08-14T21:19:19.9246807Z Entering 'third_party/ideep' 2025-08-14T21:19:19.9292039Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T21:19:19.9335836Z Entering 'third_party/ittapi' 2025-08-14T21:19:19.9378859Z Entering 'third_party/kineto' 2025-08-14T21:19:19.9422201Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:19:19.9487664Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:19:19.9529347Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:19:19.9569005Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:19:19.9612542Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:19:19.9656115Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:19:19.9700847Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:19:19.9742561Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:19:19.9785950Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:19:19.9826820Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:19:19.9867392Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:19:19.9910740Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:19:19.9954703Z Entering 'third_party/kleidiai' 2025-08-14T21:19:19.9996483Z Entering 'third_party/mimalloc' 2025-08-14T21:19:20.0035976Z Entering 'third_party/nlohmann' 2025-08-14T21:19:20.0080205Z Entering 'third_party/onnx' 2025-08-14T21:19:20.0139051Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T21:19:20.0182921Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T21:19:20.0225475Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:19:20.0263777Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:19:20.0301178Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:19:20.0342566Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:19:20.0387492Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:19:20.0429165Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:19:20.0471607Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:19:20.0517236Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:19:20.0559135Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:19:20.0606149Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:19:20.0663223Z Entering 'third_party/pocketfft' 2025-08-14T21:19:20.0707166Z Entering 'third_party/protobuf' 2025-08-14T21:19:20.0752055Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:19:20.0802355Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T21:19:20.0845979Z Entering 'third_party/psimd' 2025-08-14T21:19:20.0891778Z Entering 'third_party/pthreadpool' 2025-08-14T21:19:20.0932614Z Entering 'third_party/pybind11' 2025-08-14T21:19:20.0974950Z Entering 'third_party/python-peachpy' 2025-08-14T21:19:20.1019080Z Entering 'third_party/sleef' 2025-08-14T21:19:20.1062132Z Entering 'third_party/tensorpipe' 2025-08-14T21:19:20.1106279Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:19:20.1145431Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:19:20.1189115Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:19:20.1226904Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:19:20.1270540Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:19:20.1330788Z ##[endgroup] 2025-08-14T21:19:20.1376043Z [command]/usr/bin/git log -1 --format=%H 2025-08-14T21:19:20.1402635Z 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:19:20.1561179Z Prepare all required actions 2025-08-14T21:19:20.1561741Z Getting action download info 2025-08-14T21:19:20.2690734Z ##[group]Run ./.github/actions/setup-linux 2025-08-14T21:19:20.2690999Z env: 2025-08-14T21:19:20.2691188Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:20.2691384Z ##[endgroup] 2025-08-14T21:19:20.2739192Z ##[group]Run set -euo pipefail 2025-08-14T21:19:20.2739485Z set -euo pipefail 2025-08-14T21:19:20.2739705Z function get_ec2_metadata() { 2025-08-14T21:19:20.2739967Z  # Pulled from instance metadata endpoint for EC2 2025-08-14T21:19:20.2740399Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-08-14T21:19:20.2740785Z  category=$1 2025-08-14T21:19:20.2741037Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-08-14T21:19:20.2741338Z  runner_name_str=i-0bc2e2e8e8ade6829 2025-08-14T21:19:20.2741645Z  if [[ -f /.inarc ]]; then 2025-08-14T21:19:20.2741887Z  echo "ARC Runner, no info on ec2 metadata" 2025-08-14T21:19:20.2742172Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-08-14T21:19:20.2742494Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-08-14T21:19:20.2742776Z  else 2025-08-14T21:19:20.2743352Z  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}" 2025-08-14T21:19:20.2743924Z  fi 2025-08-14T21:19:20.2744089Z } 2025-08-14T21:19:20.2744282Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-08-14T21:19:20.2744577Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-08-14T21:19:20.2745183Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-08-14T21:19:20.2745470Z echo "system info $(uname -a)" 2025-08-14T21:19:20.2752875Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:19:20.2753137Z env: 2025-08-14T21:19:20.2753317Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:20.2753500Z ##[endgroup] 2025-08-14T21:19:20.2906977Z ami-id: ami-05ffe3c48a9991133 2025-08-14T21:19:20.3008925Z instance-id: i-0bc2e2e8e8ade6829 2025-08-14T21:19:20.3117047Z instance-type: m7i-flex.8xlarge 2025-08-14T21:19:20.3130201Z system info Linux ip-10-0-52-11.ec2.internal 6.1.141-155.222.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 17 10:29:47 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-08-14T21:19:20.3162257Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:19:20.3162863Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:19:20.3168736Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:19:20.3168996Z env: 2025-08-14T21:19:20.3169162Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:20.3169343Z ##[endgroup] 2025-08-14T21:19:20.3228372Z ##[group]Run if systemctl is-active --quiet docker; then 2025-08-14T21:19:20.3228703Z if systemctl is-active --quiet docker; then 2025-08-14T21:19:20.3228975Z  echo "Docker daemon is running..."; 2025-08-14T21:19:20.3229200Z else 2025-08-14T21:19:20.3229457Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-08-14T21:19:20.3229738Z fi 2025-08-14T21:19:20.3234344Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:19:20.3234601Z env: 2025-08-14T21:19:20.3234775Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:20.3234972Z ##[endgroup] 2025-08-14T21:19:20.3353048Z Docker daemon is running... 2025-08-14T21:19:20.3397784Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-14T21:19:20.3398013Z with: 2025-08-14T21:19:20.3398178Z shell: bash 2025-08-14T21:19:20.3398503Z timeout_minutes: 5 2025-08-14T21:19:20.3398689Z max_attempts: 3 2025-08-14T21:19:20.3398872Z retry_wait_seconds: 30 2025-08-14T21:19:20.3400351Z command: AWS_ACCOUNT_ID=$(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 2025-08-14T21:19:20.3401750Z polling_interval_seconds: 1 2025-08-14T21:19:20.3401957Z warning_on_retry: true 2025-08-14T21:19:20.3402157Z continue_on_error: false 2025-08-14T21:19:20.3402346Z env: 2025-08-14T21:19:20.3402523Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:20.3402721Z AWS_RETRY_MODE: standard 2025-08-14T21:19:20.3402911Z AWS_MAX_ATTEMPTS: 5 2025-08-14T21:19:20.3403332Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:19:20.3403551Z ##[endgroup] 2025-08-14T21:19:21.3992140Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:19:21.3992617Z Configure a credential helper to remove this warning. See 2025-08-14T21:19:21.3993161Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:19:21.3993437Z 2025-08-14T21:19:21.3993527Z Login Succeeded 2025-08-14T21:19:21.4629837Z Command completed after 1 attempt(s). 2025-08-14T21:19:21.4694398Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:19:21.4694756Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:19:21.4695041Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:19:21.4702091Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:19:21.4702335Z env: 2025-08-14T21:19:21.4702498Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:21.4702682Z ##[endgroup] 2025-08-14T21:19:21.4830251Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:19:21.4830631Z # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:19:21.4830897Z # shellcheck disable=SC2046 2025-08-14T21:19:21.4831119Z docker stop $(docker ps -q) || true 2025-08-14T21:19:21.4831333Z # Prune all of the docker images 2025-08-14T21:19:21.4831547Z docker system prune -af 2025-08-14T21:19:21.4836090Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:19:21.4836319Z env: 2025-08-14T21:19:21.4836476Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:21.4836654Z ##[endgroup] 2025-08-14T21:19:21.5345052Z "docker stop" requires at least 1 argument. 2025-08-14T21:19:21.5345400Z See 'docker stop --help'. 2025-08-14T21:19:21.5345578Z 2025-08-14T21:19:21.5345710Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-08-14T21:19:21.5345894Z 2025-08-14T21:19:21.5346312Z Stop one or more running containers 2025-08-14T21:19:21.5575233Z Total reclaimed space: 0B 2025-08-14T21:19:21.5630594Z ##[group]Run set +e 2025-08-14T21:19:21.5630848Z set +e 2025-08-14T21:19:21.5631021Z set -x 2025-08-14T21:19:21.5631172Z  2025-08-14T21:19:21.5631345Z PT_DOMAIN=download.pytorch.org 2025-08-14T21:19:21.5631709Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-08-14T21:19:21.5632144Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-08-14T21:19:21.5632445Z # one is returned at random 2025-08-14T21:19:21.5632702Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-08-14T21:19:21.5632940Z  2025-08-14T21:19:21.5633225Z if [ -z "${RESOLVED_IP}" ]; then 2025-08-14T21:19:21.5633509Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-08-14T21:19:21.5633849Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-08-14T21:19:21.5634093Z  2025-08-14T21:19:21.5634255Z  if [ -z "${RESOLVED_IP}" ]; then 2025-08-14T21:19:21.5634508Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-08-14T21:19:21.5634749Z  exit 1 2025-08-14T21:19:21.5634907Z  fi 2025-08-14T21:19:21.5635062Z fi 2025-08-14T21:19:21.5635211Z  2025-08-14T21:19:21.5635380Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-08-14T21:19:21.5635614Z  # Clean up any old records first 2025-08-14T21:19:21.5635842Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-08-14T21:19:21.5636047Z fi 2025-08-14T21:19:21.5636180Z  2025-08-14T21:19:21.5636383Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-08-14T21:19:21.5636627Z cat /etc/hosts 2025-08-14T21:19:21.5641661Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:19:21.5641929Z env: 2025-08-14T21:19:21.5642102Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:21.5642286Z ##[endgroup] 2025-08-14T21:19:21.5667355Z + PT_DOMAIN=download.pytorch.org 2025-08-14T21:19:21.5677081Z ++ dig -4 +short download.pytorch.org 2025-08-14T21:19:21.5677468Z ++ tail -n1 2025-08-14T21:19:21.6164647Z + RESOLVED_IP=18.160.10.28 2025-08-14T21:19:21.6164962Z + '[' -z 18.160.10.28 ']' 2025-08-14T21:19:21.6165202Z + grep -r download.pytorch.org /etc/hosts 2025-08-14T21:19:21.6182332Z + echo '18.160.10.28 download.pytorch.org' 2025-08-14T21:19:21.6185951Z + sudo tee -a /etc/hosts 2025-08-14T21:19:21.8711140Z 18.160.10.28 download.pytorch.org 2025-08-14T21:19:21.8734690Z + cat /etc/hosts 2025-08-14T21:19:21.8744055Z 127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4 2025-08-14T21:19:21.8749832Z ::1 localhost6 localhost6.localdomain6 2025-08-14T21:19:21.8750121Z 18.160.10.28 download.pytorch.org 2025-08-14T21:19:21.8870889Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-08-14T21:19:21.8871198Z with: 2025-08-14T21:19:21.8871743Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:21.8872352Z use-custom-docker-registry: true 2025-08-14T21:19:21.8872569Z docker-build-dir: .ci/docker 2025-08-14T21:19:21.8872767Z docker-build-script: ./build.sh 2025-08-14T21:19:21.8872965Z working-directory: . 2025-08-14T21:19:21.8873201Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:19:21.8873450Z force-push: false 2025-08-14T21:19:21.8873617Z env: 2025-08-14T21:19:21.8873771Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:21.8873941Z ##[endgroup] 2025-08-14T21:19:21.8904975Z ##[group]Run set -ex 2025-08-14T21:19:21.8905223Z set -ex 2025-08-14T21:19:21.8905396Z  2025-08-14T21:19:21.8905730Z # If the docker build directory or the build script doesn't exist, the action will 2025-08-14T21:19:21.8906283Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-08-14T21:19:21.8906659Z # job could then download the pre-built image as usual 2025-08-14T21:19:21.8907109Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-08-14T21:19:21.8907531Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-08-14T21:19:21.8907755Z else 2025-08-14T21:19:21.8907952Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:19:21.8908256Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:19:21.8908526Z  2025-08-14T21:19:21.8908882Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-08-14T21:19:21.8909294Z  exit 0 2025-08-14T21:19:21.8909459Z fi 2025-08-14T21:19:21.8909608Z  2025-08-14T21:19:21.8909849Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-08-14T21:19:21.8910232Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-08-14T21:19:21.8910580Z  # use it as it is, but first let's extract the tag 2025-08-14T21:19:21.8910898Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-08-14T21:19:21.8911245Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:19:21.8911570Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:19:21.8911856Z else 2025-08-14T21:19:21.8912049Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-08-14T21:19:21.8912320Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-08-14T21:19:21.8912595Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-08-14T21:19:21.8912825Z  fi 2025-08-14T21:19:21.8913146Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-08-14T21:19:21.8913532Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:19:21.8913943Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:19:21.8914433Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:19:21.8914751Z fi 2025-08-14T21:19:21.8921861Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:19:21.8922123Z env: 2025-08-14T21:19:21.8922297Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:21.8922500Z REPO_NAME: pytorch 2025-08-14T21:19:21.8923476Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:21.8924085Z DOCKER_BUILD_DIR: .ci/docker 2025-08-14T21:19:21.8924307Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-08-14T21:19:21.8924591Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:19:21.8924878Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-08-14T21:19:21.8925094Z CUSTOM_TAG_PREFIX: 2025-08-14T21:19:21.8925283Z ##[endgroup] 2025-08-14T21:19:21.8956133Z + [[ -d .ci/docker ]] 2025-08-14T21:19:21.8956429Z + [[ -f .ci/docker/./build.sh ]] 2025-08-14T21:19:21.8956694Z + [[ true == \t\r\u\e ]] 2025-08-14T21:19:21.8956912Z + echo skip=false 2025-08-14T21:19:21.8957755Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe == *\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* ]] 2025-08-14T21:19:21.8960276Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:21.8961343Z ++ awk -F '[:,]' '{print $2}' 2025-08-14T21:19:21.8984791Z + DOCKER_TAG=pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:21.8985596Z + echo docker-tag=pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:21.8986406Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:21.9017264Z ##[group]Run set +e 2025-08-14T21:19:21.9017499Z set +e 2025-08-14T21:19:21.9017669Z set -x 2025-08-14T21:19:21.9017829Z  2025-08-14T21:19:21.9017978Z login() { 2025-08-14T21:19:21.9018299Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-08-14T21:19:21.9018646Z } 2025-08-14T21:19:21.9018789Z  2025-08-14T21:19:21.9018944Z retry () { 2025-08-14T21:19:21.9019138Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-08-14T21:19:21.9019341Z } 2025-08-14T21:19:21.9019487Z  2025-08-14T21:19:21.9019648Z retry login "${DOCKER_REGISTRY}" 2025-08-14T21:19:21.9019849Z  2025-08-14T21:19:21.9019996Z START_TIME=$(date +%s) 2025-08-14T21:19:21.9020201Z # Wait up to 120 minutes 2025-08-14T21:19:21.9020450Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-08-14T21:19:21.9020751Z  # Check if image already exists, if it does then skip building it 2025-08-14T21:19:21.9021064Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-08-14T21:19:21.9021300Z  exit 0 2025-08-14T21:19:21.9021456Z  fi 2025-08-14T21:19:21.9021607Z  2025-08-14T21:19:21.9021859Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-08-14T21:19:21.9022264Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-08-14T21:19:21.9022639Z  # latter, it will wait for the Docker images to become available before continuing 2025-08-14T21:19:21.9022960Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-08-14T21:19:21.9023219Z  # It's a Docker build job, let's build the image 2025-08-14T21:19:21.9023437Z  break 2025-08-14T21:19:21.9023591Z  else 2025-08-14T21:19:21.9023817Z  # It's a regular build job, wait for the image to become available 2025-08-14T21:19:21.9024070Z  sleep 300 2025-08-14T21:19:21.9024230Z  fi 2025-08-14T21:19:21.9024382Z done 2025-08-14T21:19:21.9024528Z  2025-08-14T21:19:21.9024744Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-08-14T21:19:21.9025207Z # be empty. The default action would be to continue rebuild the image 2025-08-14T21:19:21.9025534Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-08-14T21:19:21.9025811Z  # if we're on the base branch then use the parent commit 2025-08-14T21:19:21.9026052Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-08-14T21:19:21.9026253Z else 2025-08-14T21:19:21.9026461Z  # otherwise we're on a PR, so use the most recent base commit 2025-08-14T21:19:21.9026736Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-08-14T21:19:21.9026953Z fi 2025-08-14T21:19:21.9027099Z  2025-08-14T21:19:21.9027258Z if [[ -z "${MERGE_BASE}" ]]; then 2025-08-14T21:19:21.9027473Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:19:21.9027675Z  2025-08-14T21:19:21.9027954Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-08-14T21:19:21.9028320Z  exit 0 2025-08-14T21:19:21.9028472Z fi 2025-08-14T21:19:21.9028613Z  2025-08-14T21:19:21.9028806Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-08-14T21:19:21.9029209Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-08-14T21:19:21.9029538Z  exit 1 2025-08-14T21:19:21.9029685Z fi 2025-08-14T21:19:21.9029815Z  2025-08-14T21:19:21.9030037Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-08-14T21:19:21.9030410Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-08-14T21:19:21.9030739Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-08-14T21:19:21.9031126Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-08-14T21:19:21.9031564Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-08-14T21:19:21.9031834Z fi 2025-08-14T21:19:21.9031968Z  2025-08-14T21:19:21.9032142Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:19:21.9037035Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:19:21.9037292Z env: 2025-08-14T21:19:21.9037461Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:21.9037639Z DOCKER_BUILD_DIR: .ci/docker 2025-08-14T21:19:21.9037868Z BASE_REVISION: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:19:21.9038452Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:21.9039173Z DOCKER_TAG: pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:21.9039610Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:19:21.9039859Z DOCKER_PUSH: 2025-08-14T21:19:21.9040019Z ##[endgroup] 2025-08-14T21:19:21.9065016Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:19:21.9069257Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:19:21.9071124Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:19:21.9071530Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:19:22.3512339Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:19:22.3512811Z Configure a credential helper to remove this warning. See 2025-08-14T21:19:22.3513264Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:19:22.3513523Z 2025-08-14T21:19:22.3514432Z Login Succeeded 2025-08-14T21:19:22.3533065Z ++ date +%s 2025-08-14T21:19:22.3542240Z + START_TIME=1755206362 2025-08-14T21:19:22.3548674Z ++ date +%s 2025-08-14T21:19:22.3558610Z + [[ 1755199162 -lt 1755206362 ]] 2025-08-14T21:19:22.3559365Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:22.6222981Z { 2025-08-14T21:19:22.6223500Z "schemaVersion": 2, 2025-08-14T21:19:22.6223979Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-08-14T21:19:22.6224349Z "config": { 2025-08-14T21:19:22.6224623Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-08-14T21:19:22.6224937Z "size": 30151, 2025-08-14T21:19:22.6225255Z "digest": 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"sha256:9fb73296da6ac15f37f36663bd10afc98abb8a01fb40bff4848de7247d28e018" 2025-08-14T21:19:22.6317480Z }, 2025-08-14T21:19:22.6317615Z { 2025-08-14T21:19:22.6317814Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:19:22.6318071Z "size": 32, 2025-08-14T21:19:22.6318332Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-08-14T21:19:22.6318667Z } 2025-08-14T21:19:22.6318794Z ] 2025-08-14T21:19:22.6318937Z } 2025-08-14T21:19:22.6319109Z + exit 0 2025-08-14T21:19:22.6355003Z ##[group]Run set -eux 2025-08-14T21:19:22.6355229Z set -eux 2025-08-14T21:19:22.6355806Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin 2025-08-14T21:19:22.6362572Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:19:22.6362845Z env: 2025-08-14T21:19:22.6363214Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:22.6363427Z ##[endgroup] 2025-08-14T21:19:22.6393376Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-08-14T21:19:22.6400108Z + jq --raw-output .SecretString 2025-08-14T21:19:22.6400400Z + jq -r .docker_hub_readonly_token 2025-08-14T21:19:22.6400773Z + docker login --username pytorchbot --password-stdin 2025-08-14T21:19:23.1348625Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:19:23.1349088Z Configure a credential helper to remove this warning. See 2025-08-14T21:19:23.1349485Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:19:23.1349743Z 2025-08-14T21:19:23.1349823Z Login Succeeded 2025-08-14T21:19:23.1437769Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-08-14T21:19:23.1438046Z tag=${ECR_DOCKER_IMAGE##*:} 2025-08-14T21:19:23.1438309Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-08-14T21:19:23.1443296Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:19:23.1443554Z env: 2025-08-14T21:19:23.1443750Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:23.1444423Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:23.1445282Z ##[endgroup] 2025-08-14T21:19:23.1472997Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:23.1526428Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-08-14T21:19:23.1526774Z with: 2025-08-14T21:19:23.1527415Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:23.1528152Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:19:23.1528459Z env: 2025-08-14T21:19:23.1528654Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:23.1528870Z ##[endgroup] 2025-08-14T21:19:23.1579229Z ##[group]Run set -x 2025-08-14T21:19:23.1579462Z set -x 2025-08-14T21:19:23.1579637Z set +e 2025-08-14T21:19:23.1579804Z  2025-08-14T21:19:23.1579960Z login() { 2025-08-14T21:19:23.1580300Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-08-14T21:19:23.1580660Z } 2025-08-14T21:19:23.1580810Z  2025-08-14T21:19:23.1581021Z retry () { 2025-08-14T21:19:23.1581218Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-08-14T21:19:23.1581441Z } 2025-08-14T21:19:23.1581596Z  2025-08-14T21:19:23.1581767Z retry login "${DOCKER_REGISTRY}" 2025-08-14T21:19:23.1581975Z  2025-08-14T21:19:23.1582301Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-08-14T21:19:23.1582728Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-08-14T21:19:23.1582991Z  2025-08-14T21:19:23.1583143Z set -e 2025-08-14T21:19:23.1583383Z # ignore output since only exit code is used for conditional 2025-08-14T21:19:23.1583704Z # only pull docker image if it's not available locally 2025-08-14T21:19:23.1584156Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-08-14T21:19:23.1584497Z  retry docker pull "${DOCKER_IMAGE}" 2025-08-14T21:19:23.1584718Z fi 2025-08-14T21:19:23.1589412Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:19:23.1589658Z env: 2025-08-14T21:19:23.1589818Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:19:23.1590371Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:23.1590986Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:19:23.1591239Z ##[endgroup] 2025-08-14T21:19:23.1614827Z + set +e 2025-08-14T21:19:23.1619834Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:19:23.1622128Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:19:23.1622661Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:19:23.1623150Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:19:23.5993988Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:19:23.5994382Z Login Succeeded 2025-08-14T21:19:23.5998214Z Configure a credential helper to remove this warning. See 2025-08-14T21:19:23.5998859Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:19:23.5999247Z 2025-08-14T21:19:23.6018235Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:23.6021654Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-08-14T21:19:23.8461983Z + IMAGE_SIZE=27663.483686447144 2025-08-14T21:19:23.8462361Z Compressed size of image in MB: 27663.483686447144 2025-08-14T21:19:23.8493074Z + echo 'Compressed size of image in MB: 27663.483686447144' 2025-08-14T21:19:23.8493529Z + set -e 2025-08-14T21:19:23.8494469Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:23.8591620Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:23.8594503Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:19:24.1050208Z pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe: Pulling from pytorch/ci-image 2025-08-14T21:19:24.1050831Z 660ffc76f83b: Pulling fs layer 2025-08-14T21:19:24.1051807Z c7b4a852a455: Pulling fs layer 2025-08-14T21:19:24.1052135Z e5a28988c893: Pulling fs layer 2025-08-14T21:19:24.1052376Z 76a69b57b683: Pulling fs layer 2025-08-14T21:19:24.1052585Z 5c785dcb4cdb: Pulling fs layer 2025-08-14T21:19:24.1052801Z 836ab08052e8: Pulling fs layer 2025-08-14T21:19:24.1053007Z 53b11c77468c: Pulling fs layer 2025-08-14T21:19:24.1053203Z e97311a6a967: Pulling fs layer 2025-08-14T21:19:24.1053397Z 2c414689d31d: Pulling fs layer 2025-08-14T21:19:24.1053587Z 6d89b5f065d5: Pulling fs layer 2025-08-14T21:19:24.1053787Z 5a5cc76ada43: Pulling fs layer 2025-08-14T21:19:24.1053987Z fc6b37d40530: Pulling fs layer 2025-08-14T21:19:24.1054175Z 2e1657907860: Pulling fs layer 2025-08-14T21:19:24.1054375Z 7b92d7a4b8c7: Pulling fs layer 2025-08-14T21:19:24.1054572Z 4f4fb700ef54: Pulling fs layer 2025-08-14T21:19:24.1054759Z d6226eb61f82: Pulling fs layer 2025-08-14T21:19:24.1054954Z 83c70f4266a6: Pulling fs layer 2025-08-14T21:19:24.1055146Z 60c725d21861: Pulling fs layer 2025-08-14T21:19:24.1055342Z a504e76e66a4: Pulling fs layer 2025-08-14T21:19:24.1055552Z fc1c200a4f77: Pulling fs layer 2025-08-14T21:19:24.1056025Z 43273c22704f: Pulling fs layer 2025-08-14T21:19:24.1056233Z 89df389d042a: Pulling fs layer 2025-08-14T21:19:24.1056427Z 684349f50d94: Pulling fs layer 2025-08-14T21:19:24.1056631Z 21d0eae87fb3: Pulling fs layer 2025-08-14T21:19:24.1056831Z c9c2b424b8e0: Pulling fs layer 2025-08-14T21:19:24.1057150Z 98dda28f3395: Pulling fs layer 2025-08-14T21:19:24.1057360Z acf5babd87f2: Pulling fs layer 2025-08-14T21:19:24.1057561Z 7c5050d8408d: Pulling fs layer 2025-08-14T21:19:24.1057761Z 7ddd14e2b548: Pulling fs layer 2025-08-14T21:19:24.1057954Z 4ba8e7a736c8: Pulling fs layer 2025-08-14T21:19:24.1058148Z 907c320fee2f: Pulling fs layer 2025-08-14T21:19:24.1058347Z 18c4ed1ec491: Pulling fs layer 2025-08-14T21:19:24.1058540Z d7618c2df6cd: Pulling fs layer 2025-08-14T21:19:24.1058744Z b7bdd9a6f789: Pulling fs layer 2025-08-14T21:19:24.1058949Z 6738ba83282e: Pulling fs layer 2025-08-14T21:19:24.1059146Z dfb0f2488639: Pulling fs layer 2025-08-14T21:19:24.1059347Z dc833b0762f2: Pulling fs layer 2025-08-14T21:19:24.1059550Z 8827df8ca2da: Pulling fs layer 2025-08-14T21:19:24.1059754Z fac8f3bd0f85: Pulling fs layer 2025-08-14T21:19:24.1059970Z d7cf7f140df3: Pulling fs layer 2025-08-14T21:19:24.1060193Z 733eedc8da8d: Pulling fs layer 2025-08-14T21:19:24.1060416Z 5b092eb06909: Pulling fs layer 2025-08-14T21:19:24.1060631Z bc5961031092: Pulling fs layer 2025-08-14T21:19:24.1060824Z 0531cc34c12a: Pulling fs layer 2025-08-14T21:19:24.1061049Z 38c303d3b62e: Pulling fs layer 2025-08-14T21:19:24.1061252Z e06d15594a2a: Pulling fs layer 2025-08-14T21:19:24.1061467Z 0e55deb5cb38: Pulling fs layer 2025-08-14T21:19:24.1061677Z 4a53d66dce07: Pulling fs layer 2025-08-14T21:19:24.1061881Z 1519daa051b8: Pulling fs layer 2025-08-14T21:19:24.1062075Z 381ed91d2119: Pulling fs layer 2025-08-14T21:19:24.1062287Z c6b0a01a96dd: Pulling fs layer 2025-08-14T21:19:24.1062488Z 60c725d21861: Waiting 2025-08-14T21:19:24.1062674Z 62df6413daee: Pulling fs layer 2025-08-14T21:19:24.1062867Z 7a18bc2a6881: Pulling fs layer 2025-08-14T21:19:24.1063067Z 93359cd58a8c: Pulling fs layer 2025-08-14T21:19:24.1063274Z a504e76e66a4: Waiting 2025-08-14T21:19:24.1063457Z c35ba0a1f353: Pulling fs layer 2025-08-14T21:19:24.1063770Z dcf1e01c98d6: Pulling fs layer 2025-08-14T21:19:24.1063979Z fc1c200a4f77: Waiting 2025-08-14T21:19:24.1064162Z bad0564f61fd: Pulling fs layer 2025-08-14T21:19:24.1064379Z 43273c22704f: Waiting 2025-08-14T21:19:24.1064550Z 539ded905736: Pulling fs layer 2025-08-14T21:19:24.1064741Z 28d482062637: Pulling fs layer 2025-08-14T21:19:24.1064932Z 3245316ff51b: Pulling fs layer 2025-08-14T21:19:24.1065138Z b53167d1a6df: Pulling fs layer 2025-08-14T21:19:24.1065346Z 89df389d042a: Waiting 2025-08-14T21:19:24.1065527Z 7f5277f69167: Pulling fs layer 2025-08-14T21:19:24.1065704Z 907c320fee2f: Waiting 2025-08-14T21:19:24.1065876Z 38c303d3b62e: Waiting 2025-08-14T21:19:24.1066058Z 23dff10cdaa5: Pulling fs layer 2025-08-14T21:19:24.1066265Z 9fb73296da6a: Pulling fs layer 2025-08-14T21:19:24.1066473Z 684349f50d94: Waiting 2025-08-14T21:19:24.1066643Z 21d0eae87fb3: Waiting 2025-08-14T21:19:24.1066810Z e06d15594a2a: Waiting 2025-08-14T21:19:24.1066981Z 18c4ed1ec491: Waiting 2025-08-14T21:19:24.1067154Z 0e55deb5cb38: Waiting 2025-08-14T21:19:24.1067316Z d7618c2df6cd: Waiting 2025-08-14T21:19:24.1067486Z 7a18bc2a6881: Waiting 2025-08-14T21:19:24.1067651Z c9c2b424b8e0: Waiting 2025-08-14T21:19:24.1067818Z 93359cd58a8c: Waiting 2025-08-14T21:19:24.1067977Z b7bdd9a6f789: Waiting 2025-08-14T21:19:24.1068144Z 98dda28f3395: Waiting 2025-08-14T21:19:24.1068310Z 6738ba83282e: Waiting 2025-08-14T21:19:24.1068473Z acf5babd87f2: Waiting 2025-08-14T21:19:24.1068644Z c35ba0a1f353: Waiting 2025-08-14T21:19:24.1068812Z 7c5050d8408d: Waiting 2025-08-14T21:19:24.1068973Z 7ddd14e2b548: Waiting 2025-08-14T21:19:24.1069146Z dcf1e01c98d6: Waiting 2025-08-14T21:19:24.1069316Z 4ba8e7a736c8: Waiting 2025-08-14T21:19:24.1069476Z dfb0f2488639: Waiting 2025-08-14T21:19:24.1069649Z bad0564f61fd: Waiting 2025-08-14T21:19:24.1069818Z 539ded905736: Waiting 2025-08-14T21:19:24.1069983Z 4a53d66dce07: Waiting 2025-08-14T21:19:24.1070221Z dc833b0762f2: Waiting 2025-08-14T21:19:24.1070382Z 8827df8ca2da: Waiting 2025-08-14T21:19:24.1070536Z 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53b11c77468c: Verifying Checksum 2025-08-14T21:19:24.5707879Z 53b11c77468c: Download complete 2025-08-14T21:19:24.5886239Z e97311a6a967: Verifying Checksum 2025-08-14T21:19:24.5886567Z e97311a6a967: Download complete 2025-08-14T21:19:24.6773147Z 6d89b5f065d5: Download complete 2025-08-14T21:19:24.7937310Z 5a5cc76ada43: Download complete 2025-08-14T21:19:24.8860653Z fc6b37d40530: Download complete 2025-08-14T21:19:24.9759286Z 2e1657907860: Verifying Checksum 2025-08-14T21:19:24.9759612Z 2e1657907860: Download complete 2025-08-14T21:19:25.6211068Z 660ffc76f83b: Pull complete 2025-08-14T21:19:25.6459397Z c7b4a852a455: Pull complete 2025-08-14T21:19:25.7357518Z 2c414689d31d: Verifying Checksum 2025-08-14T21:19:25.7357845Z 2c414689d31d: Download complete 2025-08-14T21:19:25.7454077Z 4f4fb700ef54: Verifying Checksum 2025-08-14T21:19:25.7454378Z 4f4fb700ef54: Download complete 2025-08-14T21:19:25.8200970Z d6226eb61f82: Verifying Checksum 2025-08-14T21:19:25.8201330Z d6226eb61f82: Download complete 2025-08-14T21:19:25.9060485Z 83c70f4266a6: Verifying Checksum 2025-08-14T21:19:25.9062723Z 83c70f4266a6: Download complete 2025-08-14T21:19:25.9904527Z 60c725d21861: Verifying Checksum 2025-08-14T21:19:25.9904834Z 60c725d21861: Download complete 2025-08-14T21:19:26.1073977Z a504e76e66a4: Verifying Checksum 2025-08-14T21:19:26.1075696Z a504e76e66a4: Download complete 2025-08-14T21:19:26.2054396Z fc1c200a4f77: Download complete 2025-08-14T21:19:26.2923286Z 43273c22704f: Download complete 2025-08-14T21:19:26.3798518Z 89df389d042a: Verifying Checksum 2025-08-14T21:19:26.3798837Z 89df389d042a: Download complete 2025-08-14T21:19:26.4662547Z 684349f50d94: Verifying Checksum 2025-08-14T21:19:26.4663048Z 684349f50d94: Download complete 2025-08-14T21:19:26.5475491Z 21d0eae87fb3: Download complete 2025-08-14T21:19:26.6480999Z c9c2b424b8e0: Verifying Checksum 2025-08-14T21:19:26.6481345Z c9c2b424b8e0: Download complete 2025-08-14T21:19:26.7397996Z 98dda28f3395: Verifying Checksum 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2025-08-14T21:28:35.8859902Z Digest: sha256:4236794baba289041d240d08fd393bbd57497c3012e5e0ccd9fd98f61ebf35c6 2025-08-14T21:28:35.9988479Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:28:36.0521927Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:28:36.0583579Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:28:36.0584161Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:28:36.0591822Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:28:36.0592093Z env: 2025-08-14T21:28:36.0592288Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:28:36.0592477Z ##[endgroup] 2025-08-14T21:28:36.0668704Z Prepare all required actions 2025-08-14T21:28:36.0886409Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-08-14T21:28:36.0886655Z with: 2025-08-14T21:28:36.0887281Z github-token: *** 2025-08-14T21:28:36.0887465Z env: 2025-08-14T21:28:36.0887626Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:28:36.0887815Z ##[endgroup] 2025-08-14T21:28:36.1059131Z ##[group]Run set -eux 2025-08-14T21:28:36.1059478Z set -eux 2025-08-14T21:28:36.1059790Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-08-14T21:28:36.1065932Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:28:36.1066194Z env: 2025-08-14T21:28:36.1066370Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:28:36.1066773Z GITHUB_TOKEN: *** 2025-08-14T21:28:36.1066947Z ##[endgroup] 2025-08-14T21:28:36.1091981Z + python3 .github/scripts/get_workflow_job_id.py 16976255153 i-0bc2e2e8e8ade6829 2025-08-14T21:28:36.9897203Z Setting output job-id=48128039103 2025-08-14T21:28:36.9900362Z Setting output job-name=linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 1, 2, linux.8xlarge.amx) 2025-08-14T21:28:37.0102296Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-08-14T21:28:37.0102821Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-08-14T21:28:37.0103447Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-08-14T21:28:37.0103992Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:28:37.0108922Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:28:37.0109186Z env: 2025-08-14T21:28:37.0109358Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:28:37.0109546Z JOB_ID: 48128039103 2025-08-14T21:28:37.0109901Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 1, 2, linux.8xlarge.amx) 2025-08-14T21:28:37.0110285Z WORKFLOW_NAME: inductor 2025-08-14T21:28:37.0110475Z WORKFLOW_RUN_ID: 16976255153 2025-08-14T21:28:37.0110727Z MONITOR_LOG_INTERVAL: 5 2025-08-14T21:28:37.0110917Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-08-14T21:28:37.0111133Z ##[endgroup] 2025-08-14T21:28:37.5883952Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:28:37.8643036Z Collecting psutil==5.9.8 2025-08-14T21:28:37.8801710Z 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) 2025-08-14T21:28:37.9527159Z Collecting dataclasses_json==0.6.7 2025-08-14T21:28:37.9560038Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-08-14T21:28:37.9842728Z Collecting nvidia-ml-py==11.525.84 2025-08-14T21:28:37.9871592Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-08-14T21:28:38.0742756Z Collecting marshmallow<4.0.0,>=3.18.0 2025-08-14T21:28:38.0778712Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-08-14T21:28:38.1003206Z Collecting typing-inspect<1,>=0.4.0 2025-08-14T21:28:38.1034772Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-08-14T21:28:38.1484212Z Collecting packaging>=17.0 2025-08-14T21:28:38.1515006Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-08-14T21:28:38.2149295Z Collecting typing-extensions>=3.7.4 2025-08-14T21:28:38.2188934Z Downloading typing_extensions-4.14.1-py3-none-any.whl (43 kB) 2025-08-14T21:28:38.2722074Z Collecting mypy-extensions>=0.3.0 2025-08-14T21:28:38.2761690Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-08-14T21:28:38.4879548Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-08-14T21:28:39.2123538Z 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-4.14.1 typing-inspect-0.9.0 2025-08-14T21:28:39.4891694Z Prepare all required actions 2025-08-14T21:28:39.4892008Z Getting action download info 2025-08-14T21:28:39.6518738Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-08-14T21:28:40.3779626Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-08-14T21:28:42.4281417Z ##[group]Run ./.github/actions/download-build-artifacts 2025-08-14T21:28:42.4281691Z with: 2025-08-14T21:28:42.4281899Z name: linux-jammy-py3.9-gcc11-build 2025-08-14T21:28:42.4282137Z s3-bucket: gha-artifacts 2025-08-14T21:28:42.4282345Z env: 2025-08-14T21:28:42.4282526Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:28:42.4282723Z ##[endgroup] 2025-08-14T21:28:42.4366024Z ##[group]Run seemethere/download-artifact-s3@v4 2025-08-14T21:28:42.4366275Z with: 2025-08-14T21:28:42.4366463Z name: linux-jammy-py3.9-gcc11-build 2025-08-14T21:28:42.4366695Z s3-bucket: gha-artifacts 2025-08-14T21:28:42.4366954Z region: us-east-1 2025-08-14T21:28:42.4367118Z env: 2025-08-14T21:28:42.4367279Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:28:42.4367469Z ##[endgroup] 2025-08-14T21:28:43.1674145Z (node:47952) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-08-14T21:28:43.1676795Z 2025-08-14T21:28:43.1676995Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-08-14T21:28:43.1677385Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-08-14T21:28:43.1677777Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-08-14T21:28:44.8102074Z Found 1 objects with prefix pytorch/pytorch/16976255153/linux-jammy-py3.9-gcc11-build/ 2025-08-14T21:28:44.8107975Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-08-14T21:28:50.3107552Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-08-14T21:28:50.3114571Z Artifact download has finished successfully 2025-08-14T21:28:50.3324023Z ##[group]Run unzip -o artifacts.zip 2025-08-14T21:28:50.3324298Z unzip -o artifacts.zip 2025-08-14T21:28:50.3329421Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:28:50.3329703Z env: 2025-08-14T21:28:50.3329875Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:28:50.3330078Z ##[endgroup] 2025-08-14T21:28:50.3398892Z Archive: artifacts.zip 2025-08-14T21:28:50.3399190Z creating: dist/ 2025-08-14T21:28:51.4555022Z inflating: dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl 2025-08-14T21:28:51.4557685Z creating: dist/vision/ 2025-08-14T21:28:51.4635303Z inflating: dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:28:51.4637901Z creating: dist/audio/ 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artifacts.zip 2025-08-14T21:28:57.3981862Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:28:57.3982107Z env: 2025-08-14T21:28:57.3982268Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:28:57.3982454Z ##[endgroup] 2025-08-14T21:28:57.4487184Z ##[group]Run df -H 2025-08-14T21:28:57.4487380Z df -H 2025-08-14T21:28:57.4492211Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:28:57.4492454Z env: 2025-08-14T21:28:57.4492632Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:28:57.4492816Z ##[endgroup] 2025-08-14T21:28:57.4534737Z Filesystem Size Used Avail Use% Mounted on 2025-08-14T21:28:57.4535059Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-08-14T21:28:57.4535654Z tmpfs 67G 0 67G 0% /dev/shm 2025-08-14T21:28:57.4535889Z tmpfs 27G 791k 27G 1% /run 2025-08-14T21:28:57.4536124Z /dev/nvme0n1p1 215G 69G 147G 32% / 2025-08-14T21:28:57.4536460Z tmpfs 67G 13k 67G 1% /tmp 2025-08-14T21:28:57.4536737Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-08-14T21:28:57.4565277Z Prepare all required actions 2025-08-14T21:28:57.4566199Z Getting action download info 2025-08-14T21:28:57.6388348Z ##[group]Run ./.github/actions/download-td-artifacts 2025-08-14T21:28:57.6388592Z with: 2025-08-14T21:28:57.6388745Z env: 2025-08-14T21:28:57.6388904Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:28:57.6389078Z ##[endgroup] 2025-08-14T21:28:57.6534560Z ##[group]Run seemethere/download-artifact-s3@v4 2025-08-14T21:28:57.6534787Z with: 2025-08-14T21:28:57.6534938Z name: td_results 2025-08-14T21:28:57.6535111Z s3-bucket: gha-artifacts 2025-08-14T21:28:57.6535282Z region: us-east-1 2025-08-14T21:28:57.6535454Z env: 2025-08-14T21:28:57.6535605Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:28:57.6535766Z ##[endgroup] 2025-08-14T21:28:57.9972742Z (node:47971) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-08-14T21:28:57.9973284Z 2025-08-14T21:28:57.9973629Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-08-14T21:28:57.9974025Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-08-14T21:28:57.9978950Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-08-14T21:28:58.0868406Z Found 0 objects with prefix pytorch/pytorch/16976255153/td_results/ 2025-08-14T21:28:58.0869936Z Artifact download has finished successfully 2025-08-14T21:28:58.1201586Z ##[group]Run mkdir -p .additional_ci_files 2025-08-14T21:28:58.1201865Z mkdir -p .additional_ci_files 2025-08-14T21:28:58.1202151Z mv td_results.json .additional_ci_files/td_results.json || true 2025-08-14T21:28:58.1208226Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:28:58.1208496Z env: 2025-08-14T21:28:58.1208654Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:28:58.1208824Z ##[endgroup] 2025-08-14T21:28:58.1259337Z mv: cannot stat 'td_results.json': No such file or directory 2025-08-14T21:28:59.0629061Z ##[group]Run .github/scripts/parse_ref.py 2025-08-14T21:28:59.0629353Z .github/scripts/parse_ref.py 2025-08-14T21:28:59.0634896Z shell: /usr/bin/bash -e {0} 2025-08-14T21:28:59.0635102Z env: 2025-08-14T21:28:59.0635270Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:28:59.0635457Z ##[endgroup] 2025-08-14T21:28:59.1358321Z Setting output branch=main 2025-08-14T21:28:59.1455270Z Prepare all required actions 2025-08-14T21:28:59.1455660Z Getting action download info 2025-08-14T21:28:59.2721344Z ##[group]Run ./.github/actions/filter-test-configs 2025-08-14T21:28:59.2721617Z with: 2025-08-14T21:28:59.2722003Z github-token: *** 2025-08-14T21:28:59.2724019Z test-matrix: {"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]} 2025-08-14T21:28:59.2726096Z job-name: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 1, 2, linux.8xlarge.amx) 2025-08-14T21:28:59.2726489Z env: 2025-08-14T21:28:59.2726660Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:28:59.2726996Z ##[endgroup] 2025-08-14T21:28:59.2939092Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-14T21:28:59.2939336Z with: 2025-08-14T21:28:59.2939503Z shell: bash 2025-08-14T21:28:59.2939678Z timeout_minutes: 10 2025-08-14T21:28:59.2939864Z max_attempts: 5 2025-08-14T21:28:59.2940041Z retry_wait_seconds: 30 2025-08-14T21:28:59.2940584Z 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 2025-08-14T21:28:59.2941119Z polling_interval_seconds: 1 2025-08-14T21:28:59.2941342Z warning_on_retry: true 2025-08-14T21:28:59.2941699Z continue_on_error: false 2025-08-14T21:28:59.2941909Z env: 2025-08-14T21:28:59.2942081Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:28:59.2942496Z GITHUB_TOKEN: *** 2025-08-14T21:28:59.2942680Z ##[endgroup] 2025-08-14T21:28:59.4277509Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-08-14T21:28:59.6119295Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:28:59.7634325Z Collecting requests==2.27.1 2025-08-14T21:28:59.7783946Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-08-14T21:29:00.0161262Z Collecting pyyaml==6.0.2 2025-08-14T21:29:00.0197890Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-08-14T21:29:00.0395784Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-08-14T21:29:00.0742433Z Collecting certifi>=2017.4.17 2025-08-14T21:29:00.0783756Z Downloading certifi-2025.8.3-py3-none-any.whl (161 kB) 2025-08-14T21:29:00.0864530Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-08-14T21:29:00.3245893Z Collecting charset-normalizer~=2.0.0 2025-08-14T21:29:00.3282305Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-08-14T21:29:00.3949303Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-08-14T21:29:00.5014279Z Successfully installed certifi-2025.8.3 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-08-14T21:29:01.3630890Z Command completed after 1 attempt(s). 2025-08-14T21:29:01.3698949Z ##[group]Run set -x 2025-08-14T21:29:01.3699160Z set -x 2025-08-14T21:29:01.3699312Z  2025-08-14T21:29:01.3699577Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-08-14T21:29:01.3699866Z # in runner workspace 2025-08-14T21:29:01.3700264Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-08-14T21:29:01.3705397Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:29:01.3705623Z env: 2025-08-14T21:29:01.3705777Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:29:01.3705952Z ##[endgroup] 2025-08-14T21:29:01.3730348Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-08-14T21:29:01.3873469Z Setting output branch=main 2025-08-14T21:29:01.3935573Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-08-14T21:29:01.3935856Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-08-14T21:29:01.3936085Z echo "Job name: ${JOB_NAME}" 2025-08-14T21:29:01.3936287Z  2025-08-14T21:29:01.3936540Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-08-14T21:29:01.3936837Z # in runner workspace 2025-08-14T21:29:01.3937138Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-08-14T21:29:01.3937443Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-08-14T21:29:01.3937659Z  --job-name "${JOB_NAME}" \ 2025-08-14T21:29:01.3939281Z  --test-matrix "{"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}" \ 2025-08-14T21:29:01.3940963Z  --selected-test-configs "" \ 2025-08-14T21:29:01.3941184Z  --pr-number "${PR_NUMBER}" \ 2025-08-14T21:29:01.3941403Z  --tag "${TAG}" \ 2025-08-14T21:29:01.3941601Z  --event-name "${EVENT_NAME}" \ 2025-08-14T21:29:01.3941809Z  --schedule "${SCHEDULE}" \ 2025-08-14T21:29:01.3942027Z  --branch "${HEAD_BRANCH}" 2025-08-14T21:29:01.3947128Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:29:01.3947397Z env: 2025-08-14T21:29:01.3947568Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:29:01.3948094Z GITHUB_TOKEN: *** 2025-08-14T21:29:01.3948466Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 1, 2, linux.8xlarge.amx) 2025-08-14T21:29:01.3948816Z PR_NUMBER: 2025-08-14T21:29:01.3948968Z TAG: 2025-08-14T21:29:01.3949120Z EVENT_NAME: push 2025-08-14T21:29:01.3949286Z SCHEDULE: 2025-08-14T21:29:01.3949440Z HEAD_BRANCH: main 2025-08-14T21:29:01.3949610Z ##[endgroup] 2025-08-14T21:29:01.3971729Z Workflow: inductor 2025-08-14T21:29:01.3972384Z Job name: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 1, 2, linux.8xlarge.amx) 2025-08-14T21:29:01.5350177Z Setting output keep-going=True 2025-08-14T21:29:01.5352585Z Setting output ci-verbose-test-logs=False 2025-08-14T21:29:01.5352924Z Setting output ci-test-showlocals=False 2025-08-14T21:29:01.5353208Z Setting output ci-no-test-timeout=False 2025-08-14T21:29:01.5353440Z Setting output ci-no-td=False 2025-08-14T21:29:01.5353650Z Setting output ci-td-distributed=False 2025-08-14T21:29:01.5353867Z Setting output is-unstable=False 2025-08-14T21:29:01.5354227Z Setting output reenabled-issues= 2025-08-14T21:29:01.5356198Z Setting output test-matrix={"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]} 2025-08-14T21:29:01.5357868Z Setting output is-test-matrix-empty=False 2025-08-14T21:29:01.5484052Z ##[group]Run echo "Filtered matrix:" 2025-08-14T21:29:01.5484317Z echo "Filtered matrix:" 2025-08-14T21:29:01.5485937Z echo "{"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}" 2025-08-14T21:29:01.5487731Z  2025-08-14T21:29:01.5487893Z echo 2025-08-14T21:29:01.5488098Z echo "Is the current job unstable? False" 2025-08-14T21:29:01.5488345Z  2025-08-14T21:29:01.5488502Z echo 2025-08-14T21:29:01.5488694Z echo "Is keep-going label set? True" 2025-08-14T21:29:01.5488912Z  2025-08-14T21:29:01.5489069Z echo 2025-08-14T21:29:01.5489249Z echo "Reenabled issues? " 2025-08-14T21:29:01.5494020Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:29:01.5494289Z env: 2025-08-14T21:29:01.5494471Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:29:01.5494671Z ##[endgroup] 2025-08-14T21:29:01.5521355Z Filtered matrix: 2025-08-14T21:29:01.5523350Z {include: [{config: cpu_inductor_torchbench, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_inductor_torchbench, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_huggingface, shard: 1, num_shards: 1, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_timm, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_timm, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_torchbench, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_torchbench, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: inductor_torchbench_cpu_smoketest_perf, shard: 1, num_shards: 1, runner: linux.24xl.spr-metal}]} 2025-08-14T21:29:01.5524946Z 2025-08-14T21:29:01.5528267Z Is the current job unstable? False 2025-08-14T21:29:01.5528576Z 2025-08-14T21:29:01.5528808Z Is keep-going label set? True 2025-08-14T21:29:01.5529008Z 2025-08-14T21:29:01.5529105Z Reenabled issues? 2025-08-14T21:29:01.5576931Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-08-14T21:29:01.5577293Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-08-14T21:29:01.5582017Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:29:01.5582271Z env: 2025-08-14T21:29:01.5582428Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:29:01.5582612Z JOB_TIMEOUT: 240 2025-08-14T21:29:01.5582779Z ##[endgroup] 2025-08-14T21:29:01.5637531Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:29:01.5637900Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:29:01.5638202Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:29:01.5642661Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:29:01.5643119Z env: 2025-08-14T21:29:01.5643304Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:29:01.5643518Z ##[endgroup] 2025-08-14T21:29:01.5744546Z ##[group]Run set -x 2025-08-14T21:29:01.5745115Z set -x 2025-08-14T21:29:01.5745276Z  2025-08-14T21:29:01.5745465Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-08-14T21:29:01.5745741Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-08-14T21:29:01.5746011Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-08-14T21:29:01.5746269Z  TEST_COMMAND=.ci/onnx/test.sh 2025-08-14T21:29:01.5746491Z else 2025-08-14T21:29:01.5746682Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-08-14T21:29:01.5746892Z fi 2025-08-14T21:29:01.5747046Z  2025-08-14T21:29:01.5747242Z # Leaving 1GB for the runner and other things 2025-08-14T21:29:01.5747621Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-08-14T21:29:01.5748211Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-08-14T21:29:01.5748779Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-08-14T21:29:01.5749126Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-08-14T21:29:01.5749401Z  2025-08-14T21:29:01.5749600Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-08-14T21:29:01.5749833Z  SHM_OPTS= 2025-08-14T21:29:01.5750019Z  JENKINS_USER= 2025-08-14T21:29:01.5750272Z  # ensure that docker container cleanly exits in 12 hours 2025-08-14T21:29:01.5750586Z  # if for some reason cleanup action doesn't stop container 2025-08-14T21:29:01.5750860Z  # when job is cancelled 2025-08-14T21:29:01.5751086Z  DOCKER_SHELL_CMD="sleep 12h" 2025-08-14T21:29:01.5751301Z else 2025-08-14T21:29:01.5751489Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-08-14T21:29:01.5751727Z  JENKINS_USER="--user jenkins" 2025-08-14T21:29:01.5751955Z  DOCKER_SHELL_CMD= 2025-08-14T21:29:01.5752140Z fi 2025-08-14T21:29:01.5752295Z  2025-08-14T21:29:01.5752533Z # detached container should get cleaned up by teardown_ec2_linux 2025-08-14T21:29:01.5752874Z # TODO: Stop building test binaries as part of the build phase 2025-08-14T21:29:01.5753264Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-08-14T21:29:01.5753604Z # shellcheck disable=SC2086,SC2090 2025-08-14T21:29:01.5753861Z container_name=$(docker run \ 2025-08-14T21:29:01.5754085Z  ${GPU_FLAG:-} \ 2025-08-14T21:29:01.5754298Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-08-14T21:29:01.5754539Z  -e BUILD_ENVIRONMENT \ 2025-08-14T21:29:01.5754754Z  -e PR_NUMBER \ 2025-08-14T21:29:01.5754949Z  -e GITHUB_ACTIONS \ 2025-08-14T21:29:01.5755158Z  -e GITHUB_REPOSITORY \ 2025-08-14T21:29:01.5755380Z  -e GITHUB_WORKFLOW \ 2025-08-14T21:29:01.5755586Z  -e GITHUB_JOB \ 2025-08-14T21:29:01.5755773Z  -e GITHUB_RUN_ID \ 2025-08-14T21:29:01.5755972Z  -e GITHUB_RUN_NUMBER \ 2025-08-14T21:29:01.5756183Z  -e GITHUB_RUN_ATTEMPT \ 2025-08-14T21:29:01.5756384Z  -e JOB_ID \ 2025-08-14T21:29:01.5756573Z  -e JOB_NAME \ 2025-08-14T21:29:01.5756762Z  -e BASE_SHA \ 2025-08-14T21:29:01.5756937Z  -e BRANCH \ 2025-08-14T21:29:01.5757117Z  -e SHA1 \ 2025-08-14T21:29:01.5757300Z  -e AWS_DEFAULT_REGION \ 2025-08-14T21:29:01.5757502Z  -e IN_WHEEL_TEST \ 2025-08-14T21:29:01.5757702Z  -e SHARD_NUMBER \ 2025-08-14T21:29:01.5757894Z  -e TEST_CONFIG \ 2025-08-14T21:29:01.5758090Z  -e NUM_TEST_SHARDS \ 2025-08-14T21:29:01.5758290Z  -e REENABLED_ISSUES \ 2025-08-14T21:29:01.5758505Z  -e CONTINUE_THROUGH_ERROR \ 2025-08-14T21:29:01.5758812Z  -e VERBOSE_TEST_LOGS \ 2025-08-14T21:29:01.5759021Z  -e TEST_SHOWLOCALS \ 2025-08-14T21:29:01.5759222Z  -e NO_TEST_TIMEOUT \ 2025-08-14T21:29:01.5759414Z  -e NO_TD \ 2025-08-14T21:29:01.5759596Z  -e TD_DISTRIBUTED \ 2025-08-14T21:29:01.5759796Z  -e PR_LABELS \ 2025-08-14T21:29:01.5760014Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-08-14T21:29:01.5760241Z  -e SCCACHE_BUCKET \ 2025-08-14T21:29:01.5760447Z  -e SCCACHE_REGION \ 2025-08-14T21:29:01.5760646Z  -e XLA_CUDA \ 2025-08-14T21:29:01.5760859Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-08-14T21:29:01.5761104Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-08-14T21:29:01.5761362Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-08-14T21:29:01.5761618Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-08-14T21:29:01.5761848Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-08-14T21:29:01.5762137Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-08-14T21:29:01.5762358Z  -e DASHBOARD_TAG \ 2025-08-14T21:29:01.5762553Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-08-14T21:29:01.5762954Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-08-14T21:29:01.5763262Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-08-14T21:29:01.5763562Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-08-14T21:29:01.5763838Z  --security-opt seccomp=unconfined \ 2025-08-14T21:29:01.5764085Z  --cap-add=SYS_PTRACE \ 2025-08-14T21:29:01.5764305Z  --ipc=host \ 2025-08-14T21:29:01.5764502Z  ${SHM_OPTS} \ 2025-08-14T21:29:01.5764690Z  --tty \ 2025-08-14T21:29:01.5764874Z  --detach \ 2025-08-14T21:29:01.5765075Z  --name="${container_name}" \ 2025-08-14T21:29:01.5765292Z  ${JENKINS_USER} \ 2025-08-14T21:29:01.5765540Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-08-14T21:29:01.5765824Z  -w /var/lib/jenkins/workspace \ 2025-08-14T21:29:01.5766045Z  "${DOCKER_IMAGE}" \ 2025-08-14T21:29:01.5766253Z  ${DOCKER_SHELL_CMD} 2025-08-14T21:29:01.5766448Z ) 2025-08-14T21:29:01.5766660Z # Propagate download.pytorch.org IP to container 2025-08-14T21:29:01.5767113Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-08-14T21:29:01.5767582Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-08-14T21:29:01.5767864Z  2025-08-14T21:29:01.5768062Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-08-14T21:29:01.5768449Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-08-14T21:29:01.5768798Z fi 2025-08-14T21:29:01.5768954Z  2025-08-14T21:29:01.5769295Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-08-14T21:29:01.5774379Z shell: /usr/bin/bash -e {0} 2025-08-14T21:29:01.5774583Z env: 2025-08-14T21:29:01.5774747Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:29:01.5774993Z BUILD_ENVIRONMENT: linux-jammy-py3.9-gcc11-build 2025-08-14T21:29:01.5775243Z PR_NUMBER: 2025-08-14T21:29:01.5775421Z GITHUB_REPOSITORY: pytorch/pytorch 2025-08-14T21:29:01.5775647Z GITHUB_WORKFLOW: inductor 2025-08-14T21:29:01.5775839Z GITHUB_JOB: test 2025-08-14T21:29:01.5776006Z GITHUB_RUN_ID: 16976255153 2025-08-14T21:29:01.5776199Z GITHUB_RUN_NUMBER: 147536 2025-08-14T21:29:01.5776388Z GITHUB_RUN_ATTEMPT: 1 2025-08-14T21:29:01.5776564Z JOB_ID: 48128039103 2025-08-14T21:29:01.5776919Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 1, 2, linux.8xlarge.amx) 2025-08-14T21:29:01.5777287Z BRANCH: main 2025-08-14T21:29:01.5777486Z SHA1: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:29:01.5777812Z BASE_SHA: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:29:01.5778069Z TEST_CONFIG: dynamic_cpu_inductor_timm 2025-08-14T21:29:01.5778291Z SHARD_NUMBER: 1 2025-08-14T21:29:01.5778459Z NUM_TEST_SHARDS: 2 2025-08-14T21:29:01.5778639Z REENABLED_ISSUES: 2025-08-14T21:29:01.5778826Z CONTINUE_THROUGH_ERROR: True 2025-08-14T21:29:01.5779018Z VERBOSE_TEST_LOGS: False 2025-08-14T21:29:01.5779213Z TEST_SHOWLOCALS: False 2025-08-14T21:29:01.5779406Z NO_TEST_TIMEOUT: False 2025-08-14T21:29:01.5779591Z NO_TD: False 2025-08-14T21:29:01.5779756Z TD_DISTRIBUTED: False 2025-08-14T21:29:01.5779985Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-08-14T21:29:01.5780238Z SCCACHE_REGION: us-east-1 2025-08-14T21:29:01.5780417Z SHM_SIZE: 1g 2025-08-14T21:29:01.5780955Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:29:01.5781571Z XLA_CUDA: 2025-08-14T21:29:01.5781822Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-08-14T21:29:01.5782144Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-08-14T21:29:01.5782357Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-08-14T21:29:01.5782551Z DASHBOARD_TAG: 2025-08-14T21:29:01.5782860Z HUGGING_FACE_HUB_TOKEN: *** 2025-08-14T21:29:01.5783145Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-08-14T21:29:01.5783452Z ARTIFACTS_FILE_SUFFIX: test-dynamic_cpu_inductor_timm-1-2-linux.8xlarge.amx_48128039103 2025-08-14T21:29:01.5783757Z ##[endgroup] 2025-08-14T21:29:01.5804000Z + [[ dynamic_cpu_inductor_timm == \m\u\l\t\i\g\p\u ]] 2025-08-14T21:29:01.5804378Z + [[ linux-jammy-py3.9-gcc11-build == *onnx* ]] 2025-08-14T21:29:01.5804635Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-08-14T21:29:01.5808797Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-08-14T21:29:01.5825687Z + TOTAL_AVAILABLE_MEMORY_IN_GB='122.780 ' 2025-08-14T21:29:01.5825975Z + TOTAL_MEMORY_WITH_SWAP=125 2025-08-14T21:29:01.5826217Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]] 2025-08-14T21:29:01.5826455Z + SHM_OPTS=--shm-size=1g 2025-08-14T21:29:01.5826641Z + JENKINS_USER='--user jenkins' 2025-08-14T21:29:01.5826815Z + DOCKER_SHELL_CMD= 2025-08-14T21:29:01.5834580Z +++ nproc --ignore=2 2025-08-14T21:29:01.5860733Z ++ 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=30 -e SCCACHE_BUCKET -e SCCACHE_REGION -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=122g --memory-swap=125g --env-file=/tmp/github_env_16976255153 --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-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:29:12.1024175Z + container_name=8c35a80088da0d71b1f8e06729c7a16ec062a2b78a1dec2dfeb74402476ef032 2025-08-14T21:29:12.1028484Z + grep download.pytorch.org /etc/hosts 2025-08-14T21:29:12.1029821Z + docker exec -i 8c35a80088da0d71b1f8e06729c7a16ec062a2b78a1dec2dfeb74402476ef032 sudo bash -c '/bin/cat >> /etc/hosts' 2025-08-14T21:29:12.2220970Z + echo DOCKER_CONTAINER_ID=8c35a80088da0d71b1f8e06729c7a16ec062a2b78a1dec2dfeb74402476ef032 2025-08-14T21:29:12.2221863Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]] 2025-08-14T21:29:12.2228189Z ++ echo dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl 2025-08-14T21:29:12.2228933Z + docker exec -t 8c35a80088da0d71b1f8e06729c7a16ec062a2b78a1dec2dfeb74402476ef032 sh -c 'python3 -m pip install dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-08-14T21:29:12.5628146Z Processing ./dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl (from torch==2.9.0a0+git1fc683c) 2025-08-14T21:29:12.7800556Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.18.0) 2025-08-14T21:29:12.7803165Z 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+git1fc683c->torch==2.9.0a0+git1fc683c) (4.14.1) 2025-08-14T21:29:12.7804062Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (1.13.3) 2025-08-14T21:29:12.7805205Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (2.8.8) 2025-08-14T21:29:12.7805964Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.1.6) 2025-08-14T21:29:12.7806709Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (2025.3.0) 2025-08-14T21:29:12.7820542Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.3.0) 2025-08-14T21:29:12.8104346Z 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+git1fc683c->torch==2.9.0a0+git1fc683c) (1.22.4) 2025-08-14T21:29:12.8118962Z 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+git1fc683c->torch==2.9.0a0+git1fc683c) (1.3.0) 2025-08-14T21:29:12.8171344Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from jinja2->torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.0.2) 2025-08-14T21:29:13.5758141Z Installing collected packages: torch 2025-08-14T21:29:20.7502245Z 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. 2025-08-14T21:29:20.7502959Z dall-e 0.1 requires torchvision, which is not installed. 2025-08-14T21:29:20.7503292Z effdet 0.4.1 requires torchvision, which is not installed. 2025-08-14T21:29:20.7503708Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-08-14T21:29:20.7504308Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-08-14T21:29:20.7504859Z timm 1.0.14 requires torchvision, which is not installed. 2025-08-14T21:29:20.7505269Z Successfully installed torch-2.9.0a0+git1fc683c 2025-08-14T21:29:20.8550921Z + export TERM=vt100 2025-08-14T21:29:20.8551166Z + TERM=vt100 2025-08-14T21:29:20.8559651Z ++ dirname .ci/pytorch/test.sh 2025-08-14T21:29:20.8562155Z + source .ci/pytorch/common.sh 2025-08-14T21:29:20.8562447Z +++ dirname .ci/pytorch/common.sh 2025-08-14T21:29:20.8574606Z ++ source .ci/pytorch/common_utils.sh 2025-08-14T21:29:20.8574906Z +++ declare -f -t trap_add 2025-08-14T21:29:20.8579098Z ++ set -ex -o pipefail 2025-08-14T21:29:20.8579389Z ++ [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-08-14T21:29:20.8579658Z ++ BUILD_TEST_LIBTORCH=0 2025-08-14T21:29:20.8587560Z ++ dirname .ci/pytorch/test.sh 2025-08-14T21:29:20.8597157Z + source .ci/pytorch/common-build.sh 2025-08-14T21:29:20.8598015Z ++ [[ linux-jammy-py3.9-gcc11-build != *win-* ]] 2025-08-14T21:29:20.8602185Z ++++ dirname .ci/pytorch/common-build.sh 2025-08-14T21:29:20.8602440Z +++ cd .ci/pytorch 2025-08-14T21:29:20.8602742Z +++ pwd -P 2025-08-14T21:29:20.8603096Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-08-14T21:29:20.8603738Z ++ [[ linux-jammy-py3.9-gcc11-build == *-pch* ]] 2025-08-14T21:29:20.8604047Z ++ which sccache 2025-08-14T21:29:20.8629784Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-08-14T21:29:20.8630199Z ++ sccache --stop-server 2025-08-14T21:29:20.8659007Z ++ true 2025-08-14T21:29:20.8659344Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-08-14T21:29:20.8665149Z ++ trap_add sccache_epilogue EXIT 2025-08-14T21:29:20.8665574Z ++ trap_add_cmd=sccache_epilogue 2025-08-14T21:29:20.8665802Z ++ shift 2025-08-14T21:29:20.8665967Z ++ for trap_add_name in "$@" 2025-08-14T21:29:20.8675767Z ++++ trap -p EXIT 2025-08-14T21:29:20.8676186Z +++ eval 'extract_trap_cmd ' 2025-08-14T21:29:20.8676872Z ++++ extract_trap_cmd 2025-08-14T21:29:20.8677092Z ++++ printf '%s\n' '' 2025-08-14T21:29:20.8677300Z +++ printf '%s\n' sccache_epilogue 2025-08-14T21:29:20.8677866Z ++ trap -- ' 2025-08-14T21:29:20.8678500Z sccache_epilogue' EXIT 2025-08-14T21:29:20.8678754Z ++ [[ -n 1 ]] 2025-08-14T21:29:20.8679050Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-08-14T21:29:20.8679458Z Skipping sccache server initialization, setting environment variables 2025-08-14T21:29:20.8679780Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:29:20.8680001Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:29:20.8680253Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:29:20.8680551Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:29:20.8680882Z ++ export RUST_LOG=sccache::server=error 2025-08-14T21:29:20.8681125Z ++ RUST_LOG=sccache::server=error 2025-08-14T21:29:20.8681319Z ++ sccache --zero-stats 2025-08-14T21:29:21.0438168Z Statistics zeroed. 2025-08-14T21:29:21.0438479Z ++ which ccache 2025-08-14T21:29:21.0469702Z + [[ linux-jammy-py3.9-gcc11-build != *rocm* ]] 2025-08-14T21:29:21.0471902Z + [[ linux-jammy-py3.9-gcc11-build != *s390x* ]] 2025-08-14T21:29:21.0472315Z + [[ -d /var/lib/jenkins/workspace ]] 2025-08-14T21:29:21.0472576Z ++ stat -c %u /var/lib/jenkins/workspace 2025-08-14T21:29:21.0486945Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-08-14T21:29:21.0491113Z + trap_add cleanup_workspace EXIT 2025-08-14T21:29:21.0492900Z + trap_add_cmd=cleanup_workspace 2025-08-14T21:29:21.0493104Z + shift 2025-08-14T21:29:21.0493447Z + for trap_add_name in "$@" 2025-08-14T21:29:21.0493677Z +++ trap -p EXIT 2025-08-14T21:29:21.0493885Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-08-14T21:29:21.0494101Z sccache_epilogue'\'' EXIT' 2025-08-14T21:29:21.0494301Z +++ extract_trap_cmd trap -- ' 2025-08-14T21:29:21.0494502Z sccache_epilogue' EXIT 2025-08-14T21:29:21.0494671Z +++ printf '%s\n' ' 2025-08-14T21:29:21.0494843Z sccache_epilogue' 2025-08-14T21:29:21.0495060Z ++ printf '%s\n' cleanup_workspace 2025-08-14T21:29:21.0495266Z + trap -- ' 2025-08-14T21:29:21.0495423Z sccache_epilogue 2025-08-14T21:29:21.0495592Z cleanup_workspace' EXIT 2025-08-14T21:29:21.0495799Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-08-14T21:29:21.4731269Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-08-14T21:29:21.4750480Z + echo 'Environment variables:' 2025-08-14T21:29:21.4751188Z Environment variables: 2025-08-14T21:29:21.4751464Z + env 2025-08-14T21:29:21.4761100Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:29:21.4761501Z CONTINUE_THROUGH_ERROR=True 2025-08-14T21:29:21.4761755Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build 2025-08-14T21:29:21.4762009Z HOSTNAME=8c35a80088da 2025-08-14T21:29:21.4762403Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_da727454-c256-40f8-8ef1-87f4063919de 2025-08-14T21:29:21.4762795Z GITHUB_ACTION=__run_2 2025-08-14T21:29:21.4763200Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-08-14T21:29:21.4763684Z GITHUB_RUN_NUMBER=147536 2025-08-14T21:29:21.4763899Z TEST_CONFIG=dynamic_cpu_inductor_timm 2025-08-14T21:29:21.4764138Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-08-14T21:29:21.4764392Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-08-14T21:29:21.4764621Z SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:29:21.4765037Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-08-14T21:29:21.4765264Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-08-14T21:29:21.4765493Z GITHUB_REF_TYPE=branch 2025-08-14T21:29:21.4765680Z TORCH_CUDA_ARCH_LIST=Maxwell 2025-08-14T21:29:21.4765917Z BASE_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:29:21.4766157Z XLA_CUDA= 2025-08-14T21:29:21.4766328Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-08-14T21:29:21.4766653Z HUGGING_FACE_HUB_TOKEN=*** 2025-08-14T21:29:21.4774194Z *** 2025-08-14T21:29:21.4774425Z GITHUB_REPOSITORY_ID=65600975 2025-08-14T21:29:21.4774653Z GITHUB_ACTIONS=true 2025-08-14T21:29:21.4774883Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:29:21.4775394Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:29:21.4775651Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:29:21.4776012Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main 2025-08-14T21:29:21.4776333Z UCC_HOME=/usr 2025-08-14T21:29:21.4776510Z VERBOSE_TEST_LOGS=False 2025-08-14T21:29:21.4776698Z GITHUB_REF=refs/heads/main 2025-08-14T21:29:21.4776896Z SHARD_NUMBER=1 2025-08-14T21:29:21.4777074Z GITHUB_REF_PROTECTED=true 2025-08-14T21:29:21.4777264Z HOME=/var/lib/jenkins 2025-08-14T21:29:21.4777477Z GITHUB_API_URL=https://api.github.com 2025-08-14T21:29:21.4777718Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-08-14T21:29:21.4777920Z UCX_COMMIT= 2025-08-14T21:29:21.4778082Z USE_SYSTEM_NCCL=1 2025-08-14T21:29:21.4778254Z NUM_TEST_SHARDS=2 2025-08-14T21:29:21.4778410Z UCX_HOME=/usr 2025-08-14T21:29:21.4778827Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_da727454-c256-40f8-8ef1-87f4063919de 2025-08-14T21:29:21.4779435Z JOB_NAME=linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 1, 2, linux.8xlarge.amx) 2025-08-14T21:29:21.4779991Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_da727454-c256-40f8-8ef1-87f4063919de 2025-08-14T21:29:21.4780492Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-08-14T21:29:21.4780814Z GITHUB_EVENT_NAME=push 2025-08-14T21:29:21.4780999Z DASHBOARD_TAG= 2025-08-14T21:29:21.4781164Z GITHUB_RUN_ID=16976255153 2025-08-14T21:29:21.4781351Z INSTALLED_OPENBLAS= 2025-08-14T21:29:21.4781746Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_da727454-c256-40f8-8ef1-87f4063919de 2025-08-14T21:29:21.4782179Z GITHUB_ACTOR=pytorchmergebot 2025-08-14T21:29:21.4782371Z PR_NUMBER= 2025-08-14T21:29:21.4782528Z DESIRED_CUDA= 2025-08-14T21:29:21.4782697Z GITHUB_RUN_ATTEMPT=1 2025-08-14T21:29:21.4782887Z ANACONDA_PYTHON_VERSION=3.9 2025-08-14T21:29:21.4783125Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-08-14T21:29:21.4783367Z TERM=vt100 2025-08-14T21:29:21.4783596Z INSTALLED_VISION=yes 2025-08-14T21:29:21.4783780Z BRANCH=main 2025-08-14T21:29:21.4783957Z SCCACHE_REGION=us-east-1 2025-08-14T21:29:21.4784157Z OPENSSL_ROOT_DIR=/opt/openssl 2025-08-14T21:29:21.4784372Z CUDA_PATH=/usr/local/cuda 2025-08-14T21:29:21.4784750Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-08-14T21:29:21.4785189Z GITHUB_SERVER_URL=https://github.com 2025-08-14T21:29:21.4785404Z UCC_COMMIT= 2025-08-14T21:29:21.4785566Z REENABLED_ISSUES= 2025-08-14T21:29:21.4785735Z DOCS=yes 2025-08-14T21:29:21.4785883Z SHLVL=1 2025-08-14T21:29:21.4786039Z MAX_JOBS=30 2025-08-14T21:29:21.4786205Z GITHUB_ACTOR_ID=97764156 2025-08-14T21:29:21.4786448Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:29:21.4786717Z GITHUB_REF_NAME=main 2025-08-14T21:29:21.4787072Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-08-14T21:29:21.4787366Z GITHUB_JOB=test 2025-08-14T21:29:21.4787545Z NO_TEST_TIMEOUT=False 2025-08-14T21:29:21.4787736Z TD_DISTRIBUTED=False 2025-08-14T21:29:21.4787931Z GITHUB_REPOSITORY=pytorch/pytorch 2025-08-14T21:29:21.4788152Z GITHUB_RETENTION_DAYS=90 2025-08-14T21:29:21.4788349Z OPENSSL_DIR=/opt/openssl 2025-08-14T21:29:21.4788540Z GITHUB_ACTION_REPOSITORY= 2025-08-14T21:29:21.4789061Z 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 2025-08-14T21:29:21.4789573Z GITHUB_BASE_REF= 2025-08-14T21:29:21.4789748Z INSTALLED_ACL= 2025-08-14T21:29:21.4790037Z ARTIFACTS_FILE_SUFFIX=test-dynamic_cpu_inductor_timm-1-2-linux.8xlarge.amx_48128039103 2025-08-14T21:29:21.4790384Z CI=true 2025-08-14T21:29:21.4790582Z GITHUB_REPOSITORY_OWNER=pytorch 2025-08-14T21:29:21.4790844Z RUST_LOG=sccache::server=error 2025-08-14T21:29:21.4791099Z JOB_ID=48128039103 2025-08-14T21:29:21.4791280Z GITHUB_HEAD_REF= 2025-08-14T21:29:21.4791463Z GITHUB_ACTION_REF= 2025-08-14T21:29:21.4791680Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-08-14T21:29:21.4791941Z TEST_SHOWLOCALS=False 2025-08-14T21:29:21.4792133Z GITHUB_WORKFLOW=inductor 2025-08-14T21:29:21.4792332Z DEBIAN_FRONTEND=noninteractive 2025-08-14T21:29:21.4792751Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_da727454-c256-40f8-8ef1-87f4063919de 2025-08-14T21:29:21.4793186Z NO_TD=False 2025-08-14T21:29:21.4793376Z SKIP_SCCACHE_INITIALIZATION=1 2025-08-14T21:29:21.4793603Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-08-14T21:29:21.4793825Z _=/usr/bin/env 2025-08-14T21:29:21.4794058Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-08-14T21:29:21.5019151Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch 2025-08-14T21:29:21.5019574Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/bin 2025-08-14T21:29:21.5019956Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib 2025-08-14T21:29:21.5020295Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/test 2025-08-14T21:29:21.5020573Z + BUILD_DIR=build 2025-08-14T21:29:21.5020759Z + BUILD_RENAMED_DIR=build_renamed 2025-08-14T21:29:21.5020960Z + BUILD_BIN_DIR=build/bin 2025-08-14T21:29:21.5021130Z + SHARD_NUMBER=1 2025-08-14T21:29:21.5021289Z + NUM_TEST_SHARDS=2 2025-08-14T21:29:21.5021470Z + export TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:29:21.5021676Z + TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:29:21.5021864Z + export VALGRIND=ON 2025-08-14T21:29:21.5022038Z + VALGRIND=ON 2025-08-14T21:29:21.5022247Z + [[ linux-jammy-py3.9-gcc11-build == *clang9* ]] 2025-08-14T21:29:21.5022504Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-08-14T21:29:21.5022750Z + [[ linux-jammy-py3.9-gcc11-build == *s390x* ]] 2025-08-14T21:29:21.5022956Z + [[ 0 == \1 ]] 2025-08-14T21:29:21.5023118Z + [[ True == \1 ]] 2025-08-14T21:29:21.5023316Z + [[ linux-jammy-py3.9-gcc11-build != *bazel* ]] 2025-08-14T21:29:21.5025075Z ++ realpath build/custom_test_artifacts 2025-08-14T21:29:21.5036363Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-08-14T21:29:21.5036714Z + [[ -n '' ]] 2025-08-14T21:29:21.5036895Z + echo 'Environment variables' 2025-08-14T21:29:21.5037081Z Environment variables 2025-08-14T21:29:21.5037251Z + env 2025-08-14T21:29:21.5065302Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:29:21.5065776Z CONTINUE_THROUGH_ERROR=True 2025-08-14T21:29:21.5066148Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build 2025-08-14T21:29:21.5066513Z HOSTNAME=8c35a80088da 2025-08-14T21:29:21.5071337Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_da727454-c256-40f8-8ef1-87f4063919de 2025-08-14T21:29:21.5073203Z GITHUB_ACTION=__run_2 2025-08-14T21:29:21.5073411Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-08-14T21:29:21.5073645Z GITHUB_RUN_NUMBER=147536 2025-08-14T21:29:21.5074093Z TEST_CONFIG=dynamic_cpu_inductor_timm 2025-08-14T21:29:21.5074359Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-08-14T21:29:21.5074568Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-08-14T21:29:21.5074868Z SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:29:21.5075270Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-08-14T21:29:21.5075469Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-08-14T21:29:21.5075672Z GITHUB_REF_TYPE=branch 2025-08-14T21:29:21.5075849Z TORCH_CUDA_ARCH_LIST=Maxwell 2025-08-14T21:29:21.5076064Z BASE_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:29:21.5076305Z XLA_CUDA= 2025-08-14T21:29:21.5076465Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-08-14T21:29:21.5076724Z HUGGING_FACE_HUB_TOKEN=*** 2025-08-14T21:29:21.5076939Z *** 2025-08-14T21:29:21.5077094Z GITHUB_REPOSITORY_ID=65600975 2025-08-14T21:29:21.5077282Z GITHUB_ACTIONS=true 2025-08-14T21:29:21.5077472Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:29:21.5077832Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:29:21.5078070Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:29:21.5078401Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main 2025-08-14T21:29:21.5078695Z UCC_HOME=/usr 2025-08-14T21:29:21.5078860Z TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:29:21.5079048Z VERBOSE_TEST_LOGS=False 2025-08-14T21:29:21.5079218Z GITHUB_REF=refs/heads/main 2025-08-14T21:29:21.5079398Z SHARD_NUMBER=1 2025-08-14T21:29:21.5079566Z GITHUB_REF_PROTECTED=true 2025-08-14T21:29:21.5079739Z HOME=/var/lib/jenkins 2025-08-14T21:29:21.5079938Z GITHUB_API_URL=https://api.github.com 2025-08-14T21:29:21.5080165Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-08-14T21:29:21.5080351Z UCX_COMMIT= 2025-08-14T21:29:21.5080505Z USE_SYSTEM_NCCL=1 2025-08-14T21:29:21.5080668Z NUM_TEST_SHARDS=2 2025-08-14T21:29:21.5080834Z UCX_HOME=/usr 2025-08-14T21:29:21.5081211Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_da727454-c256-40f8-8ef1-87f4063919de 2025-08-14T21:29:21.5081767Z JOB_NAME=linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 1, 2, linux.8xlarge.amx) 2025-08-14T21:29:21.5082290Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_da727454-c256-40f8-8ef1-87f4063919de 2025-08-14T21:29:21.5082764Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-08-14T21:29:21.5083193Z GITHUB_EVENT_NAME=push 2025-08-14T21:29:21.5083376Z DASHBOARD_TAG= 2025-08-14T21:29:21.5083545Z GITHUB_RUN_ID=16976255153 2025-08-14T21:29:21.5083744Z INSTALLED_OPENBLAS= 2025-08-14T21:29:21.5084156Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_da727454-c256-40f8-8ef1-87f4063919de 2025-08-14T21:29:21.5084616Z GITHUB_ACTOR=pytorchmergebot 2025-08-14T21:29:21.5084795Z PR_NUMBER= 2025-08-14T21:29:21.5084948Z DESIRED_CUDA= 2025-08-14T21:29:21.5085111Z GITHUB_RUN_ATTEMPT=1 2025-08-14T21:29:21.5085279Z VALGRIND=ON 2025-08-14T21:29:21.5085447Z ANACONDA_PYTHON_VERSION=3.9 2025-08-14T21:29:21.5085674Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-08-14T21:29:21.5086015Z TERM=vt100 2025-08-14T21:29:21.5086171Z INSTALLED_VISION=yes 2025-08-14T21:29:21.5086339Z BRANCH=main 2025-08-14T21:29:21.5086490Z SCCACHE_REGION=us-east-1 2025-08-14T21:29:21.5086682Z OPENSSL_ROOT_DIR=/opt/openssl 2025-08-14T21:29:21.5086877Z CUDA_PATH=/usr/local/cuda 2025-08-14T21:29:21.5087198Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-08-14T21:29:21.5087556Z GITHUB_SERVER_URL=https://github.com 2025-08-14T21:29:21.5087758Z UCC_COMMIT= 2025-08-14T21:29:21.5087903Z REENABLED_ISSUES= 2025-08-14T21:29:21.5088062Z DOCS=yes 2025-08-14T21:29:21.5088207Z SHLVL=1 2025-08-14T21:29:21.5088341Z MAX_JOBS=30 2025-08-14T21:29:21.5088493Z GITHUB_ACTOR_ID=97764156 2025-08-14T21:29:21.5088718Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:29:21.5088960Z GITHUB_REF_NAME=main 2025-08-14T21:29:21.5089275Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-08-14T21:29:21.5089548Z GITHUB_JOB=test 2025-08-14T21:29:21.5089708Z NO_TEST_TIMEOUT=False 2025-08-14T21:29:21.5089868Z TD_DISTRIBUTED=False 2025-08-14T21:29:21.5090045Z GITHUB_REPOSITORY=pytorch/pytorch 2025-08-14T21:29:21.5090244Z GITHUB_RETENTION_DAYS=90 2025-08-14T21:29:21.5090418Z OPENSSL_DIR=/opt/openssl 2025-08-14T21:29:21.5090600Z GITHUB_ACTION_REPOSITORY= 2025-08-14T21:29:21.5091072Z 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 2025-08-14T21:29:21.5091527Z GITHUB_BASE_REF= 2025-08-14T21:29:21.5091686Z INSTALLED_ACL= 2025-08-14T21:29:21.5091960Z ARTIFACTS_FILE_SUFFIX=test-dynamic_cpu_inductor_timm-1-2-linux.8xlarge.amx_48128039103 2025-08-14T21:29:21.5092260Z CI=true 2025-08-14T21:29:21.5092410Z GITHUB_REPOSITORY_OWNER=pytorch 2025-08-14T21:29:21.5092658Z RUST_LOG=sccache::server=error 2025-08-14T21:29:21.5092926Z JOB_ID=48128039103 2025-08-14T21:29:21.5093079Z GITHUB_HEAD_REF= 2025-08-14T21:29:21.5093243Z GITHUB_ACTION_REF= 2025-08-14T21:29:21.5093450Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-08-14T21:29:21.5093662Z TEST_SHOWLOCALS=False 2025-08-14T21:29:21.5093827Z GITHUB_WORKFLOW=inductor 2025-08-14T21:29:21.5094006Z DEBIAN_FRONTEND=noninteractive 2025-08-14T21:29:21.5094361Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_da727454-c256-40f8-8ef1-87f4063919de 2025-08-14T21:29:21.5094717Z NO_TD=False 2025-08-14T21:29:21.5094879Z SKIP_SCCACHE_INITIALIZATION=1 2025-08-14T21:29:21.5095066Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-08-14T21:29:21.5095260Z _=/usr/bin/env 2025-08-14T21:29:21.5095416Z + echo 'Testing pytorch' 2025-08-14T21:29:21.5095581Z Testing pytorch 2025-08-14T21:29:21.5095749Z + export LANG=C.UTF-8 2025-08-14T21:29:21.5095905Z + LANG=C.UTF-8 2025-08-14T21:29:21.5096049Z + PR_NUMBER= 2025-08-14T21:29:21.5096222Z + [[ dynamic_cpu_inductor_timm == \d\e\f\a\u\l\t ]] 2025-08-14T21:29:21.5096471Z + [[ dynamic_cpu_inductor_timm == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-08-14T21:29:21.5096708Z + [[ dynamic_cpu_inductor_timm == \s\l\o\w ]] 2025-08-14T21:29:21.5096949Z + [[ linux-jammy-py3.9-gcc11-build == *slow-gradcheck* ]] 2025-08-14T21:29:21.5097200Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-08-14T21:29:21.5097425Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-08-14T21:29:21.5097637Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-08-14T21:29:21.5097858Z + [[ dynamic_cpu_inductor_timm == *crossref* ]] 2025-08-14T21:29:21.5098074Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-08-14T21:29:21.5098295Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-08-14T21:29:21.5098515Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]] 2025-08-14T21:29:21.5098733Z + pip_install ninja==1.10.2 2025-08-14T21:29:21.5098961Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-08-14T21:29:21.5099237Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-08-14T21:29:21.8863533Z Collecting ninja==1.10.2 2025-08-14T21:29:21.8957077Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-08-14T21:29:21.9085062Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-08-14T21:29:22.6476923Z Installing collected packages: ninja 2025-08-14T21:29:22.6481624Z Attempting uninstall: ninja 2025-08-14T21:29:22.6488922Z Found existing installation: ninja 1.11.1.3 2025-08-14T21:29:22.6504915Z Uninstalling ninja-1.11.1.3: 2025-08-14T21:29:22.6551972Z Successfully uninstalled ninja-1.11.1.3 2025-08-14T21:29:22.7039734Z Successfully installed ninja-1.10.2 2025-08-14T21:29:22.8217436Z + 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 2025-08-14T21:29:22.8223429Z + 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 2025-08-14T21:29:22.8224607Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]] 2025-08-14T21:29:22.8224910Z + [[ linux-jammy-py3.9-gcc11-build == *asan* ]] 2025-08-14T21:29:22.8225182Z + [[ linux-jammy-py3.9-gcc11-build == *-debug* ]] 2025-08-14T21:29:22.8225466Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]] 2025-08-14T21:29:22.8225854Z + echo 'We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass' 2025-08-14T21:29:22.8226310Z We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass 2025-08-14T21:29:22.8226592Z + cd test 2025-08-14T21:29:22.8226820Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-08-14T21:29:24.0945300Z + [[ dynamic_cpu_inductor_timm == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-08-14T21:29:24.0946133Z + [[ dynamic_cpu_inductor_timm == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-08-14T21:29:24.0949729Z + [[ dynamic_cpu_inductor_timm == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-08-14T21:29:24.0950229Z + DYNAMO_BENCHMARK_FLAGS=() 2025-08-14T21:29:24.0954353Z + [[ dynamic_cpu_inductor_timm == *pr_time_benchmarks* ]] 2025-08-14T21:29:24.0956564Z + [[ dynamic_cpu_inductor_timm == *dynamo_eager* ]] 2025-08-14T21:29:24.0956902Z + [[ dynamic_cpu_inductor_timm == *aot_eager* ]] 2025-08-14T21:29:24.0957170Z + [[ dynamic_cpu_inductor_timm == *aot_inductor* ]] 2025-08-14T21:29:24.0957439Z + [[ dynamic_cpu_inductor_timm == *max_autotune_inductor* ]] 2025-08-14T21:29:24.0957699Z + [[ dynamic_cpu_inductor_timm == *inductor* ]] 2025-08-14T21:29:24.0957937Z + [[ dynamic_cpu_inductor_timm != *perf* ]] 2025-08-14T21:29:24.0958194Z + DYNAMO_BENCHMARK_FLAGS+=(--inductor) 2025-08-14T21:29:24.0958416Z + [[ dynamic_cpu_inductor_timm == *dynamic* ]] 2025-08-14T21:29:24.0958712Z + DYNAMO_BENCHMARK_FLAGS+=(--dynamic-shapes --dynamic-batch-only) 2025-08-14T21:29:24.0959030Z + [[ dynamic_cpu_inductor_timm == *cpu* ]] 2025-08-14T21:29:24.0959246Z + DYNAMO_BENCHMARK_FLAGS+=(--device cpu) 2025-08-14T21:29:24.1225027Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]] 2025-08-14T21:29:24.1230432Z + [[ linux-jammy-py3.9-gcc11-build == *-bazel-* ]] 2025-08-14T21:29:24.1232710Z + cd test 2025-08-14T21:29:24.1233006Z + python -c 'import torch; print(torch.__config__.show())' 2025-08-14T21:29:25.1106910Z PyTorch built with: 2025-08-14T21:29:25.1109251Z - GCC 11.4 2025-08-14T21:29:25.1109483Z - C++ Version: 201703 2025-08-14T21:29:25.1109976Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-08-14T21:29:25.1110419Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-08-14T21:29:25.1110693Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-08-14T21:29:25.1110910Z - LAPACK is enabled (usually provided by MKL) 2025-08-14T21:29:25.1111165Z - NNPACK is enabled 2025-08-14T21:29:25.1111356Z - CPU capability usage: AVX512 2025-08-14T21:29:25.1114457Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=1fc683cf17c8c673044538d10266c00f92987be2, 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, 2025-08-14T21:29:25.1117132Z 2025-08-14T21:29:25.3534028Z + cd test 2025-08-14T21:29:25.3534429Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-08-14T21:29:26.3077278Z ATen/Parallel: 2025-08-14T21:29:26.3077638Z at::get_num_threads() : 16 2025-08-14T21:29:26.3077972Z at::get_num_interop_threads() : 16 2025-08-14T21:29:26.3078205Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-08-14T21:29:26.3078430Z omp_get_max_threads() : 16 2025-08-14T21:29:26.3078847Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-08-14T21:29:26.3079324Z mkl_get_max_threads() : 16 2025-08-14T21:29:26.3079592Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-08-14T21:29:26.3080268Z std::thread::hardware_concurrency() : 32 2025-08-14T21:29:26.3080500Z Environment variables: 2025-08-14T21:29:26.3080687Z OMP_NUM_THREADS : [not set] 2025-08-14T21:29:26.3080879Z MKL_NUM_THREADS : [not set] 2025-08-14T21:29:26.3081063Z ATen parallel backend: OpenMP 2025-08-14T21:29:26.3081194Z 2025-08-14T21:29:26.5494324Z + [[ dynamic_cpu_inductor_timm == *numpy_2* ]] 2025-08-14T21:29:26.5498954Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]] 2025-08-14T21:29:26.5503846Z + [[ dynamic_cpu_inductor_timm == *backward* ]] 2025-08-14T21:29:26.5506088Z + [[ dynamic_cpu_inductor_timm == *xla* ]] 2025-08-14T21:29:26.5506580Z + [[ dynamic_cpu_inductor_timm == *executorch* ]] 2025-08-14T21:29:26.5507004Z + [[ dynamic_cpu_inductor_timm == \j\i\t\_\l\e\g\a\c\y ]] 2025-08-14T21:29:26.5507449Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]] 2025-08-14T21:29:26.5508284Z + [[ dynamic_cpu_inductor_timm == distributed ]] 2025-08-14T21:29:26.5508692Z + [[ dynamic_cpu_inductor_timm == *operator_benchmark* ]] 2025-08-14T21:29:26.5509081Z + [[ dynamic_cpu_inductor_timm == *inductor_distributed* ]] 2025-08-14T21:29:26.5509408Z + [[ dynamic_cpu_inductor_timm == *inductor-halide* ]] 2025-08-14T21:29:26.5509723Z + [[ dynamic_cpu_inductor_timm == *inductor-triton-cpu* ]] 2025-08-14T21:29:26.5510070Z + [[ dynamic_cpu_inductor_timm == *inductor-micro-benchmark* ]] 2025-08-14T21:29:26.5510391Z + [[ dynamic_cpu_inductor_timm == *huggingface* ]] 2025-08-14T21:29:26.5510627Z + [[ dynamic_cpu_inductor_timm == *timm* ]] 2025-08-14T21:29:26.5510831Z + install_torchvision 2025-08-14T21:29:26.5511008Z + local orig_preload 2025-08-14T21:29:26.5511180Z + local commit 2025-08-14T21:29:26.5511337Z ++ get_pinned_commit vision 2025-08-14T21:29:26.5511536Z ++ cat .github/ci_commit_pins/vision.txt 2025-08-14T21:29:26.5954797Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:29:26.5955116Z + orig_preload= 2025-08-14T21:29:26.5955295Z + '[' -n '' ']' 2025-08-14T21:29:26.5955500Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-08-14T21:29:26.5956031Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-08-14T21:29:26.5956608Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:29:26.5956988Z + local wheel_dir=dist/vision 2025-08-14T21:29:26.5957194Z + local found_whl=0 2025-08-14T21:29:26.5957379Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:29:26.5957705Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl ]] 2025-08-14T21:29:26.5958031Z + found_whl=1 2025-08-14T21:29:26.5958198Z + break 2025-08-14T21:29:26.5958344Z + '[' 1 == 0 ']' 2025-08-14T21:29:26.5958528Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:29:26.5958867Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:29:26.5959303Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl') 2025-08-14T21:29:26.5959616Z + local args 2025-08-14T21:29:26.5960267Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl == *\ * ]] 2025-08-14T21:29:26.5960604Z + for path in "${args[@]}" 2025-08-14T21:29:26.5960924Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl' 2025-08-14T21:29:26.5961369Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:29:26.5961880Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:29:26.8862573Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:29:26.8938860Z Installing collected packages: torchvision 2025-08-14T21:29:27.3078031Z Successfully installed torchvision-0.22.0a0+966da7e 2025-08-14T21:29:27.3504507Z + '[' -n '' ']' 2025-08-14T21:29:27.3504771Z + id=0 2025-08-14T21:29:27.3504971Z + test_dynamo_benchmark timm_models 0 2025-08-14T21:29:27.3505220Z ++ pwd 2025-08-14T21:29:27.3505724Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-08-14T21:29:27.3506430Z + local suite=timm_models 2025-08-14T21:29:27.3506629Z + shift 2025-08-14T21:29:27.3506793Z + local shard_id=0 2025-08-14T21:29:27.3506959Z + shift 2025-08-14T21:29:27.3507151Z + [[ dynamic_cpu_inductor_timm == *perf_compare* ]] 2025-08-14T21:29:27.3507422Z + [[ dynamic_cpu_inductor_timm == *perf* ]] 2025-08-14T21:29:27.3507656Z + [[ dynamic_cpu_inductor_timm == *cpu* ]] 2025-08-14T21:29:27.3507878Z + local dt=float32 2025-08-14T21:29:27.3508066Z + [[ dynamic_cpu_inductor_timm == *amp* ]] 2025-08-14T21:29:27.3508294Z + [[ dynamic_cpu_inductor_timm == *freezing* ]] 2025-08-14T21:29:27.3508621Z + test_single_dynamo_benchmark inference timm_models 0 --inference --float32 2025-08-14T21:29:27.3508921Z ++ pwd 2025-08-14T21:29:27.3509133Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-08-14T21:29:27.3509458Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-08-14T21:29:27.3524108Z + local name=inference 2025-08-14T21:29:27.3524419Z + shift 2025-08-14T21:29:27.3525079Z + local suite=timm_models 2025-08-14T21:29:27.3525355Z + shift 2025-08-14T21:29:27.3525512Z + local shard_id=0 2025-08-14T21:29:27.3525684Z + shift 2025-08-14T21:29:27.3525843Z + partition_flags=() 2025-08-14T21:29:27.3526027Z + local partition_flags 2025-08-14T21:29:27.3526221Z + [[ -n 2 ]] 2025-08-14T21:29:27.3526382Z + [[ -n 0 ]] 2025-08-14T21:29:27.3526664Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-08-14T21:29:27.3527027Z + [[ dynamic_cpu_inductor_timm == *perf_compare* ]] 2025-08-14T21:29:27.3527269Z + [[ dynamic_cpu_inductor_timm == *perf* ]] 2025-08-14T21:29:27.3527494Z + [[ dynamic_cpu_inductor_timm == *_avx2* ]] 2025-08-14T21:29:27.3527712Z + [[ dynamic_cpu_inductor_timm == *_avx512* ]] 2025-08-14T21:29:27.3528546Z + python benchmarks/dynamo/timm_models.py --ci --accuracy --timing --explain --print-compilation-time --inductor --dynamic-shapes --dynamic-batch-only --device cpu --inference --float32 --total-partitions 2 --partition-id 0 --output /var/lib/jenkins/workspace/test/test-reports/inference_timm_models.csv 2025-08-14T21:29:34.1209519Z 2025-08-14T21:29:34.4256995Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:29:34.4260719Z 2025-08-14T21:29:34.5461681Z model.safetensors: 0% 0.00/95.5M [00:00 [B, N, h, Ch] -> [B, N, C] 2025-08-14T21:35:23.1103242Z 2025-08-14T21:35:23.1103362Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1103752Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1104109Z return mod(*inputs) 2025-08-14T21:35:23.1104429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1104773Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1105147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:35:23.1105520Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:35:23.1105846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1106195Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1106595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 134, in forward 2025-08-14T21:35:23.1106941Z x = self.proj(x) 2025-08-14T21:35:23.1107052Z 2025-08-14T21:35:23.1107164Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1107559Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1107915Z return mod(*inputs) 2025-08-14T21:35:23.1108233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1108575Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1108952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:35:23.1109321Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:35:23.1109643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:35:23.1109981Z cur = self.mlp(cur) 2025-08-14T21:35:23.1110332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:35:23.1110660Z x = self.fc1(x) 2025-08-14T21:35:23.1110772Z 2025-08-14T21:35:23.1110884Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1111280Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1111666Z return mod(*inputs) 2025-08-14T21:35:23.1111974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1112324Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1112696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:35:23.1113069Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:35:23.1113388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:35:23.1113728Z cur = self.mlp(cur) 2025-08-14T21:35:23.1114075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:35:23.1114402Z x = self.act(x) 2025-08-14T21:35:23.1114515Z 2025-08-14T21:35:23.1114629Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1115023Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1115364Z return mod(*inputs) 2025-08-14T21:35:23.1115683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1116037Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1116412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:35:23.1116778Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:35:23.1117106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:35:23.1117452Z cur = self.mlp(cur) 2025-08-14T21:35:23.1117765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:35:23.1118100Z x = self.fc2(x) 2025-08-14T21:35:23.1118213Z 2025-08-14T21:35:23.1118327Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1118713Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1119055Z return mod(*inputs) 2025-08-14T21:35:23.1119371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1119720Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1120084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:35:23.1120455Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:35:23.1120781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 220, in forward 2025-08-14T21:35:23.1121129Z x = x + self.drop_path(cur) 2025-08-14T21:35:23.1121304Z 2025-08-14T21:35:23.1121420Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1121817Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1122181Z return mod(*inputs) 2025-08-14T21:35:23.1122495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1122863Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1123335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:35:23.1123713Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:35:23.1124036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:35:23.1124387Z x = self.cpe(x, size) 2025-08-14T21:35:23.1124723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-08-14T21:35:23.1125095Z x = self.proj(feat) + feat 2025-08-14T21:35:23.1125232Z 2025-08-14T21:35:23.1125320Z cudagraph partition due to non gpu ops 2025-08-14T21:35:23.1125548Z cudagraph partition due to non gpu ops 2025-08-14T21:35:23.1125797Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1126168Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1126508Z return mod(*inputs) 2025-08-14T21:35:23.1126815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1127146Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1127512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:35:23.1127876Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:35:23.1128194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:35:23.1128550Z x = self.cpe(x, size) 2025-08-14T21:35:23.1128865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 162, in forward 2025-08-14T21:35:23.1129209Z x = torch.cat((cls_token, x), dim=1) 2025-08-14T21:35:23.1129348Z 2025-08-14T21:35:23.1129458Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1129841Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1130182Z return mod(*inputs) 2025-08-14T21:35:23.1130489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1130819Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1131185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:35:23.1131547Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:35:23.1131861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1132210Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1132551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 118, in forward 2025-08-14T21:35:23.1132985Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:35:23.1133211Z 2025-08-14T21:35:23.1133322Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1133700Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1134041Z return mod(*inputs) 2025-08-14T21:35:23.1134349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1134685Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1135048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:35:23.1135464Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:35:23.1135779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1136125Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1136467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:35:23.1136802Z k_softmax = k.softmax(dim=2) 2025-08-14T21:35:23.1136930Z 2025-08-14T21:35:23.1137039Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1137417Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1137758Z return mod(*inputs) 2025-08-14T21:35:23.1138058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1138398Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1138770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:35:23.1139171Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:35:23.1139484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1139833Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1140174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:35:23.1140509Z k_softmax = k.softmax(dim=2) 2025-08-14T21:35:23.1140647Z 2025-08-14T21:35:23.1140758Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1141141Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1141485Z return mod(*inputs) 2025-08-14T21:35:23.1141787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1142133Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1142531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:35:23.1142891Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:35:23.1143210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1143557Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1143899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:35:23.1144229Z k_softmax = k.softmax(dim=2) 2025-08-14T21:35:23.1144363Z 2025-08-14T21:35:23.1144475Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1145079Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1145427Z return mod(*inputs) 2025-08-14T21:35:23.1145738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1146096Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1146463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:35:23.1146823Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:35:23.1147146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1147498Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1147837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:35:23.1148182Z k_softmax = k.softmax(dim=2) 2025-08-14T21:35:23.1148310Z 2025-08-14T21:35:23.1148432Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1148823Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1149146Z return mod(*inputs) 2025-08-14T21:35:23.1150495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1150837Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1151178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:35:23.1151529Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:35:23.1151837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1152188Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1152509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:35:23.1152857Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:35:23.1153010Z 2025-08-14T21:35:23.1153123Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1153478Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1153811Z return mod(*inputs) 2025-08-14T21:35:23.1154175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1154502Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1154838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:35:23.1155184Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:35:23.1155486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1155805Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1156127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:35:23.1156469Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:35:23.1156620Z 2025-08-14T21:35:23.1156736Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1157093Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1157468Z return mod(*inputs) 2025-08-14T21:35:23.1157764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1158084Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1158432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:35:23.1158776Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:35:23.1159077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1159399Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1159726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:35:23.1160045Z factor_att = q @ factor_att 2025-08-14T21:35:23.1160162Z 2025-08-14T21:35:23.1160266Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1160638Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1160960Z return mod(*inputs) 2025-08-14T21:35:23.1161251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1161569Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1161918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:35:23.1162261Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:35:23.1162554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1162980Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1163348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:35:23.1163702Z factor_att = q @ factor_att 2025-08-14T21:35:23.1163827Z 2025-08-14T21:35:23.1163942Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1164399Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1164758Z return mod(*inputs) 2025-08-14T21:35:23.1165049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1165406Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1165786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:35:23.1166165Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:35:23.1166485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1166853Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1167205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:35:23.1167586Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:35:23.1168001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:35:23.1168373Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:35:23.1168532Z 2025-08-14T21:35:23.1168653Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1169041Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1169394Z return mod(*inputs) 2025-08-14T21:35:23.1169713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1170076Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1170446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:35:23.1171138Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:35:23.1171447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1171800Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1172127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:35:23.1172472Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:35:23.1172812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:35:23.1173138Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:35:23.1173290Z 2025-08-14T21:35:23.1173396Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1173759Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1174079Z return mod(*inputs) 2025-08-14T21:35:23.1174373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1174694Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1175048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:35:23.1175391Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:35:23.1175691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1176016Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1176330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:35:23.1176673Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:35:23.1177014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:35:23.1177351Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:35:23.1177495Z 2025-08-14T21:35:23.1177578Z cudagraph partition due to non gpu ops 2025-08-14T21:35:23.1177795Z cudagraph partition due to non gpu ops 2025-08-14T21:35:23.1178010Z cudagraph partition due to non gpu ops 2025-08-14T21:35:23.1178295Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1178667Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1178997Z return mod(*inputs) 2025-08-14T21:35:23.1179299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1179621Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1179975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:35:23.1180378Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:35:23.1180690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1181020Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1181344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:35:23.1181727Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:35:23.1182096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 82, in forward 2025-08-14T21:35:23.1182441Z conv_v_img = torch.cat(conv_v_img_list, dim=1) 2025-08-14T21:35:23.1182590Z 2025-08-14T21:35:23.1182704Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1183062Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1183393Z return mod(*inputs) 2025-08-14T21:35:23.1183692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1184019Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1184360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:35:23.1184709Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:35:23.1185013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1185361Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1185690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 131, in forward 2025-08-14T21:35:23.1186084Z x = x.transpose(1, 2).reshape(B, N, C) # [B, h, N, Ch] -> [B, N, h, Ch] -> [B, N, C] 2025-08-14T21:35:23.1186281Z 2025-08-14T21:35:23.1186394Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1186748Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1187076Z return mod(*inputs) 2025-08-14T21:35:23.1187375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1187700Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1188039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:35:23.1188392Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:35:23.1188697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1189015Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1189337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 134, in forward 2025-08-14T21:35:23.1189651Z x = self.proj(x) 2025-08-14T21:35:23.1189753Z 2025-08-14T21:35:23.1189865Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1190228Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1190543Z return mod(*inputs) 2025-08-14T21:35:23.1190827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1191133Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1191477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:35:23.1191879Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:35:23.1192187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:35:23.1192494Z cur = self.mlp(cur) 2025-08-14T21:35:23.1192787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:35:23.1193105Z x = self.fc1(x) 2025-08-14T21:35:23.1193198Z 2025-08-14T21:35:23.1193300Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1193652Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1193969Z return mod(*inputs) 2025-08-14T21:35:23.1194246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1194610Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1194958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:35:23.1195345Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:35:23.1195644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:35:23.1195957Z cur = self.mlp(cur) 2025-08-14T21:35:23.1196250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:35:23.1196552Z x = self.act(x) 2025-08-14T21:35:23.1196657Z 2025-08-14T21:35:23.1196761Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1197123Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1197449Z return mod(*inputs) 2025-08-14T21:35:23.1197735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1198061Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1198443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:35:23.1198781Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:35:23.1199085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:35:23.1199398Z cur = self.mlp(cur) 2025-08-14T21:35:23.1199690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:35:23.1199988Z x = self.fc2(x) 2025-08-14T21:35:23.1200091Z 2025-08-14T21:35:23.1200195Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1200557Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1200873Z return mod(*inputs) 2025-08-14T21:35:23.1201167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1201491Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1201846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 578, in forward_features 2025-08-14T21:35:23.1202269Z x1_nocls = remove_cls(x1).reshape(B, H1, W1, -1).permute(0, 3, 1, 2).contiguous() 2025-08-14T21:35:23.1202484Z 2025-08-14T21:35:23.1202589Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1203061Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1203434Z return mod(*inputs) 2025-08-14T21:35:23.1203760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1204111Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1204482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 581, in forward_features 2025-08-14T21:35:23.1204830Z x2 = self.patch_embed2(x1_nocls) 2025-08-14T21:35:23.1205178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-08-14T21:35:23.1205599Z x = self.proj(x) 2025-08-14T21:35:23.1205704Z 2025-08-14T21:35:23.1205816Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1206170Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1206493Z return mod(*inputs) 2025-08-14T21:35:23.1206785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1207112Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1207475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 581, in forward_features 2025-08-14T21:35:23.1207846Z x2 = self.patch_embed2(x1_nocls) 2025-08-14T21:35:23.1208208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 136, in forward 2025-08-14T21:35:23.1208553Z x = self.norm(x) 2025-08-14T21:35:23.1208670Z 2025-08-14T21:35:23.1208839Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1209220Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1209556Z return mod(*inputs) 2025-08-14T21:35:23.1209864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1210209Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1210574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 583, in forward_features 2025-08-14T21:35:23.1210940Z x2 = insert_cls(x2, self.cls_token2) 2025-08-14T21:35:23.1211294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 677, in insert_cls 2025-08-14T21:35:23.1211705Z x = torch.cat((cls_tokens, x), dim=1) 2025-08-14T21:35:23.1211839Z 2025-08-14T21:35:23.1211946Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1212341Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1212666Z return mod(*inputs) 2025-08-14T21:35:23.1212958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1213272Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1213611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1213956Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1214264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:35:23.1214579Z x = self.cpe(x, size) 2025-08-14T21:35:23.1214876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-08-14T21:35:23.1215193Z x = self.proj(feat) + feat 2025-08-14T21:35:23.1215311Z 2025-08-14T21:35:23.1215395Z cudagraph partition due to non gpu ops 2025-08-14T21:35:23.1215616Z cudagraph partition due to non gpu ops 2025-08-14T21:35:23.1215854Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1216203Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1216532Z return mod(*inputs) 2025-08-14T21:35:23.1216823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1217144Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1217480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1217822Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1218121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:35:23.1218426Z x = self.cpe(x, size) 2025-08-14T21:35:23.1218724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 162, in forward 2025-08-14T21:35:23.1219095Z x = torch.cat((cls_token, x), dim=1) 2025-08-14T21:35:23.1219232Z 2025-08-14T21:35:23.1219343Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1219695Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1220020Z return mod(*inputs) 2025-08-14T21:35:23.1220309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1220632Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1220994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1221358Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1221674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1222006Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1222349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 118, in forward 2025-08-14T21:35:23.1222819Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:35:23.1223043Z 2025-08-14T21:35:23.1223154Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1223531Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1223872Z return mod(*inputs) 2025-08-14T21:35:23.1224182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1224518Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1224879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1225242Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1225553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1225933Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1226277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:35:23.1226622Z k_softmax = k.softmax(dim=2) 2025-08-14T21:35:23.1226752Z 2025-08-14T21:35:23.1226864Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1227244Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1227593Z return mod(*inputs) 2025-08-14T21:35:23.1227899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1228244Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1228611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1228980Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1229293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1229648Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1229993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:35:23.1230327Z k_softmax = k.softmax(dim=2) 2025-08-14T21:35:23.1230463Z 2025-08-14T21:35:23.1230573Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1230957Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1231299Z return mod(*inputs) 2025-08-14T21:35:23.1231602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1231958Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1232309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1232649Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1233001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1233337Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1233672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:35:23.1233974Z k_softmax = k.softmax(dim=2) 2025-08-14T21:35:23.1234098Z 2025-08-14T21:35:23.1234200Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1234547Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1234857Z return mod(*inputs) 2025-08-14T21:35:23.1235132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1235446Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1235780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1236132Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1236429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1236747Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1237051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:35:23.1237358Z k_softmax = k.softmax(dim=2) 2025-08-14T21:35:23.1237484Z 2025-08-14T21:35:23.1237584Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1237939Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1238256Z return mod(*inputs) 2025-08-14T21:35:23.1238553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1238876Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1239219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1239585Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1239887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1240213Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1240547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:35:23.1240916Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:35:23.1241077Z 2025-08-14T21:35:23.1241197Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1241584Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1241923Z return mod(*inputs) 2025-08-14T21:35:23.1242240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1242583Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1243036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1243416Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1243743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1244114Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1244469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:35:23.1245059Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:35:23.1245222Z 2025-08-14T21:35:23.1245344Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1245722Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1246078Z return mod(*inputs) 2025-08-14T21:35:23.1246395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1246743Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1247204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1247569Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1247884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1248204Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1248532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:35:23.1248851Z factor_att = q @ factor_att 2025-08-14T21:35:23.1248969Z 2025-08-14T21:35:23.1249083Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1249446Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1249777Z return mod(*inputs) 2025-08-14T21:35:23.1250072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1250431Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1250780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1251127Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1251430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1251749Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1252073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:35:23.1252390Z factor_att = q @ factor_att 2025-08-14T21:35:23.1252503Z 2025-08-14T21:35:23.1252607Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1252969Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1253297Z return mod(*inputs) 2025-08-14T21:35:23.1253623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1253932Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1254273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1254617Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1254910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1255235Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1255555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:35:23.1255900Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:35:23.1256233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:35:23.1256571Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:35:23.1256720Z 2025-08-14T21:35:23.1256836Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1257186Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1257510Z return mod(*inputs) 2025-08-14T21:35:23.1257809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1258150Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1258508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1258871Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1259191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1259525Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1259860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:35:23.1260306Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:35:23.1260666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:35:23.1261010Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:35:23.1261170Z 2025-08-14T21:35:23.1261278Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1261655Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1261979Z return mod(*inputs) 2025-08-14T21:35:23.1262262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1262585Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1262929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1263266Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1263579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1263950Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1264282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:35:23.1264646Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:35:23.1265006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:35:23.1265361Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:35:23.1265514Z 2025-08-14T21:35:23.1265602Z cudagraph partition due to non gpu ops 2025-08-14T21:35:23.1265831Z cudagraph partition due to non gpu ops 2025-08-14T21:35:23.1266056Z cudagraph partition due to non gpu ops 2025-08-14T21:35:23.1266298Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1266684Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1267051Z return mod(*inputs) 2025-08-14T21:35:23.1267364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1267696Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1268065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1268432Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1268743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1269085Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1269422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:35:23.1269784Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:35:23.1270133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 82, in forward 2025-08-14T21:35:23.1270490Z conv_v_img = torch.cat(conv_v_img_list, dim=1) 2025-08-14T21:35:23.1270650Z 2025-08-14T21:35:23.1270770Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1271151Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1271491Z return mod(*inputs) 2025-08-14T21:35:23.1271804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1272147Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1272508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1272871Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1273192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1273537Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1273871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 131, in forward 2025-08-14T21:35:23.1274330Z x = x.transpose(1, 2).reshape(B, N, C) # [B, h, N, Ch] -> [B, N, h, Ch] -> [B, N, C] 2025-08-14T21:35:23.1274548Z 2025-08-14T21:35:23.1274668Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1275045Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1275396Z return mod(*inputs) 2025-08-14T21:35:23.1275710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1276054Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1276395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1276759Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1277062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1277387Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1277742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 134, in forward 2025-08-14T21:35:23.1278057Z x = self.proj(x) 2025-08-14T21:35:23.1278161Z 2025-08-14T21:35:23.1278272Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1278628Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1278956Z return mod(*inputs) 2025-08-14T21:35:23.1279249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1279567Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1279917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1280265Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1280573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:35:23.1280950Z cur = self.mlp(cur) 2025-08-14T21:35:23.1281249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:35:23.1281571Z x = self.fc1(x) 2025-08-14T21:35:23.1281666Z 2025-08-14T21:35:23.1281772Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1282136Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1282461Z return mod(*inputs) 2025-08-14T21:35:23.1282758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1283158Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1283546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1283934Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1284255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:35:23.1284624Z cur = self.mlp(cur) 2025-08-14T21:35:23.1284949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:35:23.1285279Z x = self.act(x) 2025-08-14T21:35:23.1285383Z 2025-08-14T21:35:23.1285494Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1285882Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1286234Z return mod(*inputs) 2025-08-14T21:35:23.1286520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1286845Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1287201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1287552Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1287849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:35:23.1288208Z cur = self.mlp(cur) 2025-08-14T21:35:23.1288504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:35:23.1288813Z x = self.fc2(x) 2025-08-14T21:35:23.1288919Z 2025-08-14T21:35:23.1289026Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1289399Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1289737Z return mod(*inputs) 2025-08-14T21:35:23.1290031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1290365Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1290721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1291067Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1291382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 220, in forward 2025-08-14T21:35:23.1291731Z x = x + self.drop_path(cur) 2025-08-14T21:35:23.1291847Z 2025-08-14T21:35:23.1291957Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1292312Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1292636Z return mod(*inputs) 2025-08-14T21:35:23.1292926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1293247Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1293599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1293941Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1294241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:35:23.1294555Z x = self.cpe(x, size) 2025-08-14T21:35:23.1294879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-08-14T21:35:23.1295194Z x = self.proj(feat) + feat 2025-08-14T21:35:23.1295311Z 2025-08-14T21:35:23.1295390Z cudagraph partition due to non gpu ops 2025-08-14T21:35:23.1295603Z cudagraph partition due to non gpu ops 2025-08-14T21:35:23.1295838Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1296183Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1296514Z return mod(*inputs) 2025-08-14T21:35:23.1296804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1297127Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1297464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1297802Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1298112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:35:23.1298428Z x = self.cpe(x, size) 2025-08-14T21:35:23.1298726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 162, in forward 2025-08-14T21:35:23.1299049Z x = torch.cat((cls_token, x), dim=1) 2025-08-14T21:35:23.1299181Z 2025-08-14T21:35:23.1299302Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1299645Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1299956Z return mod(*inputs) 2025-08-14T21:35:23.1300239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1300556Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1300893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1301239Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1301591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1301911Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1302233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 118, in forward 2025-08-14T21:35:23.1302646Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:35:23.1302866Z 2025-08-14T21:35:23.1302986Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1303361Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1303704Z return mod(*inputs) 2025-08-14T21:35:23.1304011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1304346Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1304751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1305121Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1305442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1305780Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1306128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:35:23.1306468Z k_softmax = k.softmax(dim=2) 2025-08-14T21:35:23.1306597Z 2025-08-14T21:35:23.1306711Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1307096Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1307421Z return mod(*inputs) 2025-08-14T21:35:23.1307731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1308187Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1308538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1308897Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1309211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1309556Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1309879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:35:23.1310202Z k_softmax = k.softmax(dim=2) 2025-08-14T21:35:23.1310324Z 2025-08-14T21:35:23.1310429Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1310791Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1311120Z return mod(*inputs) 2025-08-14T21:35:23.1311409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1311744Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1312091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1312435Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1312730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1313055Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1313374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:35:23.1313699Z k_softmax = k.softmax(dim=2) 2025-08-14T21:35:23.1313834Z 2025-08-14T21:35:23.1313944Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1314324Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1314666Z return mod(*inputs) 2025-08-14T21:35:23.1315013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1315341Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1315685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1316020Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1316323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1316648Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1316968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:35:23.1317282Z k_softmax = k.softmax(dim=2) 2025-08-14T21:35:23.1317412Z 2025-08-14T21:35:23.1317516Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1317882Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1318241Z return mod(*inputs) 2025-08-14T21:35:23.1318555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1318897Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1319265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1319630Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1319950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1320295Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1320626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:35:23.1320987Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:35:23.1321154Z 2025-08-14T21:35:23.1321263Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1321645Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1322009Z return mod(*inputs) 2025-08-14T21:35:23.1322318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1322662Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1323108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1323486Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1323813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1324170Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1324515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:35:23.1324900Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:35:23.1325058Z 2025-08-14T21:35:23.1325182Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1325587Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1325931Z return mod(*inputs) 2025-08-14T21:35:23.1326244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1326592Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1326952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1327328Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1327653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1328002Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1328338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:35:23.1328678Z factor_att = q @ factor_att 2025-08-14T21:35:23.1328798Z 2025-08-14T21:35:23.1328919Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1329336Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1329682Z return mod(*inputs) 2025-08-14T21:35:23.1329990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1330330Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1330683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1331041Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1331355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1331695Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1332034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:35:23.1332367Z factor_att = q @ factor_att 2025-08-14T21:35:23.1332518Z 2025-08-14T21:35:23.1332638Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1333010Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1333351Z return mod(*inputs) 2025-08-14T21:35:23.1333659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1333997Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1334363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1334728Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1335042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1335379Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1335719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:35:23.1336121Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:35:23.1336480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:35:23.1336842Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:35:23.1337005Z 2025-08-14T21:35:23.1337117Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1337501Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1337842Z return mod(*inputs) 2025-08-14T21:35:23.1338152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1338505Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1338862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1339226Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1339551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1339902Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1340234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:35:23.1340602Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:35:23.1340964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:35:23.1341310Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:35:23.1341472Z 2025-08-14T21:35:23.1341582Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1341963Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1342310Z return mod(*inputs) 2025-08-14T21:35:23.1342614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1342959Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1343371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1343732Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1344056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1344407Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1344985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:35:23.1345351Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:35:23.1345716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:35:23.1346074Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:35:23.1346228Z 2025-08-14T21:35:23.1346318Z cudagraph partition due to non gpu ops 2025-08-14T21:35:23.1346560Z cudagraph partition due to non gpu ops 2025-08-14T21:35:23.1346859Z cudagraph partition due to non gpu ops 2025-08-14T21:35:23.1347095Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1347446Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1347771Z return mod(*inputs) 2025-08-14T21:35:23.1348066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1348384Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1348733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1349078Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1349384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1349706Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1350032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:35:23.1350416Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:35:23.1350750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 82, in forward 2025-08-14T21:35:23.1351093Z conv_v_img = torch.cat(conv_v_img_list, dim=1) 2025-08-14T21:35:23.1351250Z 2025-08-14T21:35:23.1351355Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1351719Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1352043Z return mod(*inputs) 2025-08-14T21:35:23.1352341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1352671Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1353015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1353370Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1353688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1354020Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1354338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 131, in forward 2025-08-14T21:35:23.1354723Z x = x.transpose(1, 2).reshape(B, N, C) # [B, h, N, Ch] -> [B, N, h, Ch] -> [B, N, C] 2025-08-14T21:35:23.1354918Z 2025-08-14T21:35:23.1355030Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1355395Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1355717Z return mod(*inputs) 2025-08-14T21:35:23.1356006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1356328Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1356720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1357071Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1357376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1357703Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1358019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 134, in forward 2025-08-14T21:35:23.1358334Z x = self.proj(x) 2025-08-14T21:35:23.1358440Z 2025-08-14T21:35:23.1358559Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1358938Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1359281Z return mod(*inputs) 2025-08-14T21:35:23.1359595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1359937Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1360350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1360711Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1361031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:35:23.1361355Z cur = self.mlp(cur) 2025-08-14T21:35:23.1361671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:35:23.1361996Z x = self.fc1(x) 2025-08-14T21:35:23.1362098Z 2025-08-14T21:35:23.1362212Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1362584Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1362979Z return mod(*inputs) 2025-08-14T21:35:23.1363299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1363632Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1364030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1364393Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1364707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:35:23.1365040Z cur = self.mlp(cur) 2025-08-14T21:35:23.1365349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:35:23.1365672Z x = self.act(x) 2025-08-14T21:35:23.1365773Z 2025-08-14T21:35:23.1365882Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1366265Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1366607Z return mod(*inputs) 2025-08-14T21:35:23.1366908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1367249Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1367617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:35:23.1367983Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:35:23.1368291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:35:23.1368620Z cur = self.mlp(cur) 2025-08-14T21:35:23.1368926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:35:23.1369240Z x = self.fc2(x) 2025-08-14T21:35:23.1369348Z 2025-08-14T21:35:23.1369457Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1369835Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1370173Z return mod(*inputs) 2025-08-14T21:35:23.1370471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1370856Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1371093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 586, in forward_features 2025-08-14T21:35:23.1371260Z x2_nocls = remove_cls(x2).reshape(B, H2, W2, -1).permute(0, 3, 1, 2).contiguous() 2025-08-14T21:35:23.1371265Z 2025-08-14T21:35:23.1371375Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1371593Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1371663Z return mod(*inputs) 2025-08-14T21:35:23.1371864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1371951Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1372181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 589, in forward_features 2025-08-14T21:35:23.1372263Z x3 = self.patch_embed3(x2_nocls) 2025-08-14T21:35:23.1372519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-08-14T21:35:23.1372588Z x = self.proj(x) 2025-08-14T21:35:23.1372593Z 2025-08-14T21:35:23.1372710Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1372920Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1372992Z return mod(*inputs) 2025-08-14T21:35:23.1373193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1373272Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1373503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 589, in forward_features 2025-08-14T21:35:23.1373582Z x3 = self.patch_embed3(x2_nocls) 2025-08-14T21:35:23.1373802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 136, in forward 2025-08-14T21:35:23.1373901Z x = self.norm(x) 2025-08-14T21:35:23.1373907Z 2025-08-14T21:35:23.1374021Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1374258Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1374338Z return mod(*inputs) 2025-08-14T21:35:23.1374562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1374652Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1374897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 591, in forward_features 2025-08-14T21:35:23.1374980Z x3 = insert_cls(x3, self.cls_token3) 2025-08-14T21:35:23.1375202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 677, in insert_cls 2025-08-14T21:35:23.1375289Z x = torch.cat((cls_tokens, x), dim=1) 2025-08-14T21:35:23.1375293Z 2025-08-14T21:35:23.1375413Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1375625Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1375691Z return mod(*inputs) 2025-08-14T21:35:23.1375883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1375958Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1376172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1376251Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1376441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:35:23.1376511Z x = self.cpe(x, size) 2025-08-14T21:35:23.1376704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-08-14T21:35:23.1376781Z x = self.proj(feat) + feat 2025-08-14T21:35:23.1376786Z 2025-08-14T21:35:23.1376876Z cudagraph partition due to non gpu ops 2025-08-14T21:35:23.1376994Z cudagraph partition due to non gpu ops 2025-08-14T21:35:23.1377098Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1377300Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1377367Z return mod(*inputs) 2025-08-14T21:35:23.1377554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1377642Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1377863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1377944Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1378136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:35:23.1378210Z x = self.cpe(x, size) 2025-08-14T21:35:23.1378420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 162, in forward 2025-08-14T21:35:23.1378523Z x = torch.cat((cls_token, x), dim=1) 2025-08-14T21:35:23.1378526Z 2025-08-14T21:35:23.1378641Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1378848Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1378917Z return mod(*inputs) 2025-08-14T21:35:23.1379118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1379196Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1379419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1379500Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1379691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1379804Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1380001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 118, in forward 2025-08-14T21:35:23.1380176Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:35:23.1380180Z 2025-08-14T21:35:23.1380297Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1380505Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1380575Z return mod(*inputs) 2025-08-14T21:35:23.1380774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1380853Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1381083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1381156Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1381353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1381446Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1381640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:35:23.1381719Z k_softmax = k.softmax(dim=2) 2025-08-14T21:35:23.1381732Z 2025-08-14T21:35:23.1381840Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1382049Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1382127Z return mod(*inputs) 2025-08-14T21:35:23.1382319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1382397Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1382627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1382703Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1382933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1383024Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1383218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:35:23.1383304Z k_softmax = k.softmax(dim=2) 2025-08-14T21:35:23.1383308Z 2025-08-14T21:35:23.1383414Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1383623Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1383701Z return mod(*inputs) 2025-08-14T21:35:23.1383895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1383982Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1384206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1384311Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1384517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1384600Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1384792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:35:23.1384881Z k_softmax = k.softmax(dim=2) 2025-08-14T21:35:23.1384890Z 2025-08-14T21:35:23.1384998Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1385211Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1385279Z return mod(*inputs) 2025-08-14T21:35:23.1385471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1385559Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1385786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1385882Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1386082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1386168Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1386367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:35:23.1386445Z k_softmax = k.softmax(dim=2) 2025-08-14T21:35:23.1386449Z 2025-08-14T21:35:23.1386556Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1386771Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1386839Z return mod(*inputs) 2025-08-14T21:35:23.1387031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1387119Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1387349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1387428Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1387622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1387703Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1387904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:35:23.1388008Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:35:23.1388012Z 2025-08-14T21:35:23.1388127Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1388334Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1388402Z return mod(*inputs) 2025-08-14T21:35:23.1388605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1388744Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1388972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1389051Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1389244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1389334Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1389527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:35:23.1389626Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:35:23.1389630Z 2025-08-14T21:35:23.1389744Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1389952Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1390021Z return mod(*inputs) 2025-08-14T21:35:23.1390225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1390328Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1390563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1390635Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1390828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1390920Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1391118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:35:23.1391193Z factor_att = q @ factor_att 2025-08-14T21:35:23.1391197Z 2025-08-14T21:35:23.1391312Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1391519Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1391613Z return mod(*inputs) 2025-08-14T21:35:23.1391812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1391891Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1392121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1392192Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1392436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1392526Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1392719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:35:23.1392801Z factor_att = q @ factor_att 2025-08-14T21:35:23.1392805Z 2025-08-14T21:35:23.1392912Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1393121Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1393205Z return mod(*inputs) 2025-08-14T21:35:23.1393399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1393484Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1393705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1393778Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1393977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1394058Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1394248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:35:23.1394363Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:35:23.1394558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:35:23.1394705Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:35:23.1394709Z 2025-08-14T21:35:23.1394819Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1395032Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1395109Z return mod(*inputs) 2025-08-14T21:35:23.1395306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1395387Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1395619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1395692Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1395893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1395976Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1396173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:35:23.1396306Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:35:23.1396504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:35:23.1396597Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:35:23.1396610Z 2025-08-14T21:35:23.1396728Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1396936Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1397015Z return mod(*inputs) 2025-08-14T21:35:23.1397207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1397287Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1397522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1397616Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1397815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1397905Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1398099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:35:23.1398206Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:35:23.1398402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:35:23.1398495Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:35:23.1398499Z 2025-08-14T21:35:23.1398594Z cudagraph partition due to non gpu ops 2025-08-14T21:35:23.1398678Z cudagraph partition due to non gpu ops 2025-08-14T21:35:23.1398767Z cudagraph partition due to non gpu ops 2025-08-14T21:35:23.1398877Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1399085Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1399164Z return mod(*inputs) 2025-08-14T21:35:23.1399361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1399441Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1399673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1399746Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1399941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1400032Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1400226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:35:23.1400332Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:35:23.1400529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 82, in forward 2025-08-14T21:35:23.1400670Z conv_v_img = torch.cat(conv_v_img_list, dim=1) 2025-08-14T21:35:23.1400675Z 2025-08-14T21:35:23.1400793Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1401001Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1401079Z return mod(*inputs) 2025-08-14T21:35:23.1401271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1401351Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1401581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1401653Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1401845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1401935Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1402151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 131, in forward 2025-08-14T21:35:23.1402307Z x = x.transpose(1, 2).reshape(B, N, C) # [B, h, N, Ch] -> [B, N, h, Ch] -> [B, N, C] 2025-08-14T21:35:23.1402311Z 2025-08-14T21:35:23.1402420Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1402630Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1402707Z return mod(*inputs) 2025-08-14T21:35:23.1402983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1403076Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1403321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1403397Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1403604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1403722Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1403924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 134, in forward 2025-08-14T21:35:23.1404005Z x = self.proj(x) 2025-08-14T21:35:23.1404009Z 2025-08-14T21:35:23.1404122Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1404344Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1404417Z return mod(*inputs) 2025-08-14T21:35:23.1404626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1404713Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1404935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1405008Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1405213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:35:23.1405286Z cur = self.mlp(cur) 2025-08-14T21:35:23.1405489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:35:23.1405556Z x = self.fc1(x) 2025-08-14T21:35:23.1405560Z 2025-08-14T21:35:23.1405665Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1405878Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1405948Z return mod(*inputs) 2025-08-14T21:35:23.1406139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1406227Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1406448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1406530Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1406762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:35:23.1406835Z cur = self.mlp(cur) 2025-08-14T21:35:23.1407037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:35:23.1407104Z x = self.act(x) 2025-08-14T21:35:23.1407107Z 2025-08-14T21:35:23.1407215Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1407431Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1407500Z return mod(*inputs) 2025-08-14T21:35:23.1407702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1407781Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1408004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1408088Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1408310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:35:23.1408381Z cur = self.mlp(cur) 2025-08-14T21:35:23.1408585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:35:23.1408652Z x = self.fc2(x) 2025-08-14T21:35:23.1408655Z 2025-08-14T21:35:23.1408772Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1408981Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1409051Z return mod(*inputs) 2025-08-14T21:35:23.1409253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1409331Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1409552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1409655Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1409855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 220, in forward 2025-08-14T21:35:23.1409939Z x = x + self.drop_path(cur) 2025-08-14T21:35:23.1409943Z 2025-08-14T21:35:23.1410052Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1410263Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1410340Z return mod(*inputs) 2025-08-14T21:35:23.1410538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1410615Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1410846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1410918Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1411123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:35:23.1411204Z x = self.cpe(x, size) 2025-08-14T21:35:23.1411402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-08-14T21:35:23.1411489Z x = self.proj(feat) + feat 2025-08-14T21:35:23.1411493Z 2025-08-14T21:35:23.1411577Z cudagraph partition due to non gpu ops 2025-08-14T21:35:23.1411669Z cudagraph partition due to non gpu ops 2025-08-14T21:35:23.1411778Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1411990Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1412066Z return mod(*inputs) 2025-08-14T21:35:23.1412266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1412345Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1412580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1412720Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1412917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:35:23.1412999Z x = self.cpe(x, size) 2025-08-14T21:35:23.1413195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 162, in forward 2025-08-14T21:35:23.1413284Z x = torch.cat((cls_token, x), dim=1) 2025-08-14T21:35:23.1413288Z 2025-08-14T21:35:23.1413396Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1413606Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1413685Z return mod(*inputs) 2025-08-14T21:35:23.1413881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1413968Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1414200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1414303Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1414506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1414590Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1414783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 118, in forward 2025-08-14T21:35:23.1414965Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:35:23.1414969Z 2025-08-14T21:35:23.1415076Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1415292Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1415361Z return mod(*inputs) 2025-08-14T21:35:23.1415558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1415675Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1415905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1415976Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1416181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1416266Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1416466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:35:23.1416543Z k_softmax = k.softmax(dim=2) 2025-08-14T21:35:23.1416547Z 2025-08-14T21:35:23.1416657Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1416872Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1416939Z return mod(*inputs) 2025-08-14T21:35:23.1417141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1417225Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1417451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1417530Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1417727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1417810Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1418012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:35:23.1418089Z k_softmax = k.softmax(dim=2) 2025-08-14T21:35:23.1418093Z 2025-08-14T21:35:23.1418206Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1418416Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1418485Z return mod(*inputs) 2025-08-14T21:35:23.1418752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1418832Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1419054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1419135Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1419330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1419418Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1419609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:35:23.1419685Z k_softmax = k.softmax(dim=2) 2025-08-14T21:35:23.1419689Z 2025-08-14T21:35:23.1419806Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1420011Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1420106Z return mod(*inputs) 2025-08-14T21:35:23.1420313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1420395Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1420626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1420698Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1420894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1420984Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1421181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:35:23.1421257Z k_softmax = k.softmax(dim=2) 2025-08-14T21:35:23.1421272Z 2025-08-14T21:35:23.1421382Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1421591Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1421695Z return mod(*inputs) 2025-08-14T21:35:23.1421888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1421967Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1422196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1422267Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1422459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1422551Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1422743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:35:23.1422851Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:35:23.1422855Z 2025-08-14T21:35:23.1422965Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1423181Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1423260Z return mod(*inputs) 2025-08-14T21:35:23.1423454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1423539Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1423761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1423832Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1424030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1424113Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1424305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:35:23.1424415Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:35:23.1424422Z 2025-08-14T21:35:23.1424575Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1424796Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1424867Z return mod(*inputs) 2025-08-14T21:35:23.1425057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1425143Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1425367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1425440Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1425643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1425725Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1425924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:35:23.1426024Z factor_att = q @ factor_att 2025-08-14T21:35:23.1426028Z 2025-08-14T21:35:23.1426140Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1426357Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1426427Z return mod(*inputs) 2025-08-14T21:35:23.1426619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1426706Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1426929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1427009Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1427201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1427282Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1427483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:35:23.1427602Z factor_att = q @ factor_att 2025-08-14T21:35:23.1427605Z 2025-08-14T21:35:23.1427722Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1427932Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1428000Z return mod(*inputs) 2025-08-14T21:35:23.1428203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1428281Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1428505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1428582Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1428778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1428866Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1429062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:35:23.1429170Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:35:23.1429371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:35:23.1429468Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:35:23.1429472Z 2025-08-14T21:35:23.1429579Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1429792Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1429861Z return mod(*inputs) 2025-08-14T21:35:23.1430064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1430142Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1430364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1430446Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1430685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1430768Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1430973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:35:23.1431083Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:35:23.1431276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:35:23.1431364Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:35:23.1431368Z 2025-08-14T21:35:23.1431468Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1431676Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1431746Z return mod(*inputs) 2025-08-14T21:35:23.1431953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1432061Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1432284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1432364Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1432560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1432642Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1432846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:35:23.1432947Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:35:23.1433151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:35:23.1433243Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:35:23.1433247Z 2025-08-14T21:35:23.1433370Z cudagraph partition due to non gpu ops 2025-08-14T21:35:23.1433467Z cudagraph partition due to non gpu ops 2025-08-14T21:35:23.1433551Z cudagraph partition due to non gpu ops 2025-08-14T21:35:23.1433661Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1433880Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1433950Z return mod(*inputs) 2025-08-14T21:35:23.1434153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1434234Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1434459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1434539Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1434733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1434817Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1435024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:35:23.1435123Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:35:23.1435325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 82, in forward 2025-08-14T21:35:23.1435424Z conv_v_img = torch.cat(conv_v_img_list, dim=1) 2025-08-14T21:35:23.1435428Z 2025-08-14T21:35:23.1435536Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1435754Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1435825Z return mod(*inputs) 2025-08-14T21:35:23.1436019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1436107Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1436331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1436493Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1436690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1436773Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1436975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 131, in forward 2025-08-14T21:35:23.1437124Z x = x.transpose(1, 2).reshape(B, N, C) # [B, h, N, Ch] -> [B, N, h, Ch] -> [B, N, C] 2025-08-14T21:35:23.1437128Z 2025-08-14T21:35:23.1437245Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1437455Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1437524Z return mod(*inputs) 2025-08-14T21:35:23.1437726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1437805Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1438054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1438135Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1438333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1438422Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1438620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 134, in forward 2025-08-14T21:35:23.1438689Z x = self.proj(x) 2025-08-14T21:35:23.1438693Z 2025-08-14T21:35:23.1438809Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1439019Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1439089Z return mod(*inputs) 2025-08-14T21:35:23.1439298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1439400Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1439632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1439704Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1439900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:35:23.1439978Z cur = self.mlp(cur) 2025-08-14T21:35:23.1440171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:35:23.1440238Z x = self.fc1(x) 2025-08-14T21:35:23.1440242Z 2025-08-14T21:35:23.1440361Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1440570Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1440645Z return mod(*inputs) 2025-08-14T21:35:23.1440840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1440924Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1441156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1441228Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1441424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:35:23.1441502Z cur = self.mlp(cur) 2025-08-14T21:35:23.1441697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:35:23.1441769Z x = self.act(x) 2025-08-14T21:35:23.1441772Z 2025-08-14T21:35:23.1441878Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1442087Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1442165Z return mod(*inputs) 2025-08-14T21:35:23.1442361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1442477Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1442717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:35:23.1442791Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:35:23.1443101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:35:23.1443179Z cur = self.mlp(cur) 2025-08-14T21:35:23.1443381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:35:23.1443459Z x = self.fc2(x) 2025-08-14T21:35:23.1443463Z 2025-08-14T21:35:23.1443575Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1443799Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1443878Z return mod(*inputs) 2025-08-14T21:35:23.1444095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1444212Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1444497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 594, in forward_features 2025-08-14T21:35:23.1444885Z x3_nocls = remove_cls(x3).reshape(B, H3, W3, -1).permute(0, 3, 1, 2).contiguous() 2025-08-14T21:35:23.1444891Z 2025-08-14T21:35:23.1445009Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1445210Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1445285Z return mod(*inputs) 2025-08-14T21:35:23.1445472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1445548Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1445770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 597, in forward_features 2025-08-14T21:35:23.1445914Z x4 = self.patch_embed4(x3_nocls) 2025-08-14T21:35:23.1446126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-08-14T21:35:23.1446203Z x = self.proj(x) 2025-08-14T21:35:23.1446207Z 2025-08-14T21:35:23.1446316Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1446533Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1446604Z return mod(*inputs) 2025-08-14T21:35:23.1446804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1446890Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1447114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 597, in forward_features 2025-08-14T21:35:23.1447196Z x4 = self.patch_embed4(x3_nocls) 2025-08-14T21:35:23.1447437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 136, in forward 2025-08-14T21:35:23.1447509Z x = self.norm(x) 2025-08-14T21:35:23.1447512Z 2025-08-14T21:35:23.1447636Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1447834Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1447900Z return mod(*inputs) 2025-08-14T21:35:23.1448094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1448171Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1448384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 599, in forward_features 2025-08-14T21:35:23.1448472Z x4 = insert_cls(x4, self.cls_token4) 2025-08-14T21:35:23.1448672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 677, in insert_cls 2025-08-14T21:35:23.1448766Z x = torch.cat((cls_tokens, x), dim=1) 2025-08-14T21:35:23.1448773Z 2025-08-14T21:35:23.1448941Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1449150Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1449226Z return mod(*inputs) 2025-08-14T21:35:23.1449422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1449510Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1449734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1449807Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1450006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:35:23.1450081Z x = self.cpe(x, size) 2025-08-14T21:35:23.1450277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-08-14T21:35:23.1450415Z x = self.proj(feat) + feat 2025-08-14T21:35:23.1450422Z 2025-08-14T21:35:23.1450508Z cudagraph partition due to non gpu ops 2025-08-14T21:35:23.1450600Z cudagraph partition due to non gpu ops 2025-08-14T21:35:23.1450710Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1450917Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1450993Z return mod(*inputs) 2025-08-14T21:35:23.1451189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1451270Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1451501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1451575Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1451775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:35:23.1451876Z x = self.cpe(x, size) 2025-08-14T21:35:23.1452102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 162, in forward 2025-08-14T21:35:23.1452193Z x = torch.cat((cls_token, x), dim=1) 2025-08-14T21:35:23.1452197Z 2025-08-14T21:35:23.1452309Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1452542Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1452623Z return mod(*inputs) 2025-08-14T21:35:23.1452844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1452933Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1453186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1453260Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1453483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1453575Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1453775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 118, in forward 2025-08-14T21:35:23.1453962Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:35:23.1453966Z 2025-08-14T21:35:23.1454078Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1454300Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1454371Z return mod(*inputs) 2025-08-14T21:35:23.1454595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1454687Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1454929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1455013Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1455282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1455369Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1455592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:35:23.1455676Z k_softmax = k.softmax(dim=2) 2025-08-14T21:35:23.1455679Z 2025-08-14T21:35:23.1455790Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1456015Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1456085Z return mod(*inputs) 2025-08-14T21:35:23.1456316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1456404Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1456613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1456721Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1456897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1456973Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1457161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:35:23.1457232Z k_softmax = k.softmax(dim=2) 2025-08-14T21:35:23.1457235Z 2025-08-14T21:35:23.1457343Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1457533Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1457598Z return mod(*inputs) 2025-08-14T21:35:23.1457785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1457858Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1458096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1458174Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1458362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1458447Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1458632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:35:23.1458705Z k_softmax = k.softmax(dim=2) 2025-08-14T21:35:23.1458709Z 2025-08-14T21:35:23.1458820Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1459017Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1459085Z return mod(*inputs) 2025-08-14T21:35:23.1459277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1459352Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1459584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1459652Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1459830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1459916Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1460092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:35:23.1460161Z k_softmax = k.softmax(dim=2) 2025-08-14T21:35:23.1460172Z 2025-08-14T21:35:23.1460272Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1460461Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1460532Z return mod(*inputs) 2025-08-14T21:35:23.1460711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1460821Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1461037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1461104Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1461295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1461372Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1461547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:35:23.1461649Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:35:23.1461652Z 2025-08-14T21:35:23.1461752Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1461944Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1462018Z return mod(*inputs) 2025-08-14T21:35:23.1462197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1462301Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1462509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1462576Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1462764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1462840Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1463017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:35:23.1463119Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:35:23.1463122Z 2025-08-14T21:35:23.1463220Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1463415Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1463503Z return mod(*inputs) 2025-08-14T21:35:23.1463684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1463763Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1463969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1464034Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1464221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1464299Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1464486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:35:23.1464554Z factor_att = q @ factor_att 2025-08-14T21:35:23.1464557Z 2025-08-14T21:35:23.1464656Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1464859Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1464928Z return mod(*inputs) 2025-08-14T21:35:23.1465113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1465187Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1465392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1465463Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1465640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1465715Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1465899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:35:23.1465966Z factor_att = q @ factor_att 2025-08-14T21:35:23.1465969Z 2025-08-14T21:35:23.1466077Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1466304Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1466369Z return mod(*inputs) 2025-08-14T21:35:23.1466555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1466629Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1466836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1466913Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1467090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1467173Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1467349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:35:23.1467445Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:35:23.1467635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:35:23.1467746Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:35:23.1467750Z 2025-08-14T21:35:23.1467847Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1468046Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1468109Z return mod(*inputs) 2025-08-14T21:35:23.1468293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1468369Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1468580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1468655Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1468838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1468938Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1469136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:35:23.1469234Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:35:23.1469435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:35:23.1469523Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:35:23.1469527Z 2025-08-14T21:35:23.1469629Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1469838Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1469906Z return mod(*inputs) 2025-08-14T21:35:23.1470102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1470177Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1470391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1470470Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1470652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1470732Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1470923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:35:23.1471016Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:35:23.1471206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:35:23.1471302Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:35:23.1471306Z 2025-08-14T21:35:23.1471386Z cudagraph partition due to non gpu ops 2025-08-14T21:35:23.1471472Z cudagraph partition due to non gpu ops 2025-08-14T21:35:23.1471548Z cudagraph partition due to non gpu ops 2025-08-14T21:35:23.1471646Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1471883Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1471949Z return mod(*inputs) 2025-08-14T21:35:23.1472139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1472214Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1472420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1472495Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1472675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1472752Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1472941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:35:23.1473033Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:35:23.1473247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 82, in forward 2025-08-14T21:35:23.1473340Z conv_v_img = torch.cat(conv_v_img_list, dim=1) 2025-08-14T21:35:23.1473344Z 2025-08-14T21:35:23.1473445Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1473649Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1473713Z return mod(*inputs) 2025-08-14T21:35:23.1473895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1473977Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1474183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1474259Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1474439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1474542Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1474727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 131, in forward 2025-08-14T21:35:23.1474868Z x = x.transpose(1, 2).reshape(B, N, C) # [B, h, N, Ch] -> [B, N, h, Ch] -> [B, N, C] 2025-08-14T21:35:23.1474872Z 2025-08-14T21:35:23.1474981Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1475172Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1475235Z return mod(*inputs) 2025-08-14T21:35:23.1475423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1475497Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1475704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1475779Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1475961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1476044Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1476221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 134, in forward 2025-08-14T21:35:23.1476286Z x = self.proj(x) 2025-08-14T21:35:23.1476290Z 2025-08-14T21:35:23.1476400Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1476594Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1476659Z return mod(*inputs) 2025-08-14T21:35:23.1476850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1476923Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1477139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1477212Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1477443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:35:23.1477526Z cur = self.mlp(cur) 2025-08-14T21:35:23.1477721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:35:23.1477788Z x = self.fc1(x) 2025-08-14T21:35:23.1477792Z 2025-08-14T21:35:23.1477907Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1478116Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1478193Z return mod(*inputs) 2025-08-14T21:35:23.1478388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1478469Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1478702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1478801Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1478995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:35:23.1479074Z cur = self.mlp(cur) 2025-08-14T21:35:23.1479273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:35:23.1479348Z x = self.act(x) 2025-08-14T21:35:23.1479352Z 2025-08-14T21:35:23.1479459Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1479668Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1479747Z return mod(*inputs) 2025-08-14T21:35:23.1479943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1480023Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1480254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1480355Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1480560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:35:23.1480629Z cur = self.mlp(cur) 2025-08-14T21:35:23.1480827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:35:23.1480901Z x = self.fc2(x) 2025-08-14T21:35:23.1480905Z 2025-08-14T21:35:23.1481013Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1481227Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1481296Z return mod(*inputs) 2025-08-14T21:35:23.1481492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1481580Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1481811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1481886Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1482088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 220, in forward 2025-08-14T21:35:23.1482162Z x = x + self.drop_path(cur) 2025-08-14T21:35:23.1482166Z 2025-08-14T21:35:23.1482278Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1482487Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1482555Z return mod(*inputs) 2025-08-14T21:35:23.1482756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1482836Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1483221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1483309Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1483560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:35:23.1483646Z x = self.cpe(x, size) 2025-08-14T21:35:23.1483848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-08-14T21:35:23.1483930Z x = self.proj(feat) + feat 2025-08-14T21:35:23.1483934Z 2025-08-14T21:35:23.1484030Z cudagraph partition due to non gpu ops 2025-08-14T21:35:23.1484117Z cudagraph partition due to non gpu ops 2025-08-14T21:35:23.1484229Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1484460Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1484531Z return mod(*inputs) 2025-08-14T21:35:23.1484734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1484813Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1485051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1485152Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1485333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:35:23.1485404Z x = self.cpe(x, size) 2025-08-14T21:35:23.1485594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 162, in forward 2025-08-14T21:35:23.1485671Z x = torch.cat((cls_token, x), dim=1) 2025-08-14T21:35:23.1485674Z 2025-08-14T21:35:23.1485784Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1485980Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1486047Z return mod(*inputs) 2025-08-14T21:35:23.1486238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1486334Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1486552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1486629Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1486813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1486898Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1487080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 118, in forward 2025-08-14T21:35:23.1487241Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:35:23.1487245Z 2025-08-14T21:35:23.1487357Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1487557Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1487634Z return mod(*inputs) 2025-08-14T21:35:23.1487830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1487914Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1488144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1488215Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1488405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1488498Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1488693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:35:23.1488777Z k_softmax = k.softmax(dim=2) 2025-08-14T21:35:23.1488781Z 2025-08-14T21:35:23.1488888Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1489093Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1489171Z return mod(*inputs) 2025-08-14T21:35:23.1489411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1489492Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1489723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1489796Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1489996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1490078Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1490271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:35:23.1490356Z k_softmax = k.softmax(dim=2) 2025-08-14T21:35:23.1490359Z 2025-08-14T21:35:23.1490465Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1490670Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1490767Z return mod(*inputs) 2025-08-14T21:35:23.1490949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1491032Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1491244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1491313Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1491504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1491583Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1491769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:35:23.1491848Z k_softmax = k.softmax(dim=2) 2025-08-14T21:35:23.1491851Z 2025-08-14T21:35:23.1491954Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1492181Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1492249Z return mod(*inputs) 2025-08-14T21:35:23.1492433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1492516Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1492731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1492808Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1492997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1493075Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1493269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:35:23.1493341Z k_softmax = k.softmax(dim=2) 2025-08-14T21:35:23.1493344Z 2025-08-14T21:35:23.1493445Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1493655Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1493721Z return mod(*inputs) 2025-08-14T21:35:23.1493914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1493988Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1494199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1494274Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1494454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1494530Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1494724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:35:23.1494818Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:35:23.1494825Z 2025-08-14T21:35:23.1494967Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1495165Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1495230Z return mod(*inputs) 2025-08-14T21:35:23.1495422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1495496Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1495708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1495783Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1495965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1496051Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1496236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:35:23.1496350Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:35:23.1496356Z 2025-08-14T21:35:23.1496467Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1496661Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1496727Z return mod(*inputs) 2025-08-14T21:35:23.1496915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1496991Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1497209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1497277Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1497462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1497549Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1497776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:35:23.1497878Z factor_att = q @ factor_att 2025-08-14T21:35:23.1497881Z 2025-08-14T21:35:23.1497983Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1498179Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1498251Z return mod(*inputs) 2025-08-14T21:35:23.1498433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1498507Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1498725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1498792Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1498982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1499060Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1499247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:35:23.1499324Z factor_att = q @ factor_att 2025-08-14T21:35:23.1499328Z 2025-08-14T21:35:23.1499429Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1499622Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1499697Z return mod(*inputs) 2025-08-14T21:35:23.1499882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1499964Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1500178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1500248Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1500436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1500520Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1500780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:35:23.1500889Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:35:23.1501075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:35:23.1501173Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:35:23.1501176Z 2025-08-14T21:35:23.1501277Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1501471Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1501565Z return mod(*inputs) 2025-08-14T21:35:23.1501748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1501831Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1502043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1502135Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1502330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1502416Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1502603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:35:23.1502709Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:35:23.1502896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:35:23.1502991Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:35:23.1502994Z 2025-08-14T21:35:23.1503105Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1503298Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1503732Z return mod(*inputs) 2025-08-14T21:35:23.1503920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1503997Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1504222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1504291Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1504481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1504559Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1504746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:35:23.1504847Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:35:23.1505033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:35:23.1505122Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:35:23.1505139Z 2025-08-14T21:35:23.1505224Z cudagraph partition due to non gpu ops 2025-08-14T21:35:23.1505305Z cudagraph partition due to non gpu ops 2025-08-14T21:35:23.1505389Z cudagraph partition due to non gpu ops 2025-08-14T21:35:23.1505492Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1505692Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1505766Z return mod(*inputs) 2025-08-14T21:35:23.1505953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1506029Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1506252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1506321Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1506513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1506632Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1506825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:35:23.1506923Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:35:23.1507101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 82, in forward 2025-08-14T21:35:23.1507192Z conv_v_img = torch.cat(conv_v_img_list, dim=1) 2025-08-14T21:35:23.1507204Z 2025-08-14T21:35:23.1507303Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1507496Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1507567Z return mod(*inputs) 2025-08-14T21:35:23.1507742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1507815Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1508053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1508121Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1508297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1508472Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1508679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 131, in forward 2025-08-14T21:35:23.1508869Z x = x.transpose(1, 2).reshape(B, N, C) # [B, h, N, Ch] -> [B, N, h, Ch] -> [B, N, C] 2025-08-14T21:35:23.1508873Z 2025-08-14T21:35:23.1509006Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1509218Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1509648Z return mod(*inputs) 2025-08-14T21:35:23.1531399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1531740Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1532037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1532134Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1532356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:35:23.1532451Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:35:23.1532665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 134, in forward 2025-08-14T21:35:23.1532743Z x = self.proj(x) 2025-08-14T21:35:23.1532753Z 2025-08-14T21:35:23.1532882Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1533122Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1533196Z return mod(*inputs) 2025-08-14T21:35:23.1533401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1533488Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1533710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1533792Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1533982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:35:23.1534054Z cur = self.mlp(cur) 2025-08-14T21:35:23.1534253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:35:23.1534323Z x = self.fc1(x) 2025-08-14T21:35:23.1534328Z 2025-08-14T21:35:23.1534450Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1534657Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1534728Z return mod(*inputs) 2025-08-14T21:35:23.1534994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1535075Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1535294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1535376Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1535560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:35:23.1535639Z cur = self.mlp(cur) 2025-08-14T21:35:23.1535825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:35:23.1535890Z x = self.act(x) 2025-08-14T21:35:23.1535894Z 2025-08-14T21:35:23.1536012Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1536212Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1536283Z return mod(*inputs) 2025-08-14T21:35:23.1536510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:35:23.1536590Z x_feat = self.forward_features(x) 2025-08-14T21:35:23.1536814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:35:23.1536885Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:35:23.1537069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:35:23.1537145Z cur = self.mlp(cur) 2025-08-14T21:35:23.1537331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:35:23.1537394Z x = self.fc2(x) 2025-08-14T21:35:23.1537408Z 2025-08-14T21:35:23.1537513Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1537709Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1537803Z return mod(*inputs) 2025-08-14T21:35:23.1537991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 670, in forward 2025-08-14T21:35:23.1538068Z x = self.forward_head(x_feat) 2025-08-14T21:35:23.1538280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 660, in forward_head 2025-08-14T21:35:23.1538351Z x = self.head_drop(x) 2025-08-14T21:35:23.1538355Z 2025-08-14T21:35:23.1538466Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:35:23.1538662Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:35:23.1538727Z return mod(*inputs) 2025-08-14T21:35:23.1538920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 670, in forward 2025-08-14T21:35:23.1538997Z x = self.forward_head(x_feat) 2025-08-14T21:35:23.1539203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 661, in forward_head 2025-08-14T21:35:23.1539310Z return x if pre_logits else self.head(x) 2025-08-14T21:35:23.1539314Z 2025-08-14T21:35:39.2046822Z Compilation time (from dynamo_timed): 51.764260613 2025-08-14T21:35:39.2047513Z pass 2025-08-14T21:35:39.2053867Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:35:39.2054749Z TIMING: _recursive_pre_grad_passes:0.00854 _recursive_joint_graph_passes:0.55256 _recursive_post_grad_passes:0.28876 async_compile.wait:0.71725 code_gen:14.47298 inductor_compile:20.29551 backend_compile:41.46642 gc:0.00012 entire_frame_compile:51.76426 total_wall_time:51.76426 2025-08-14T21:35:39.2055900Z STATS: call_* op count: 460 | FakeTensorMode.__torch_dispatch__:16262 | FakeTensor.__torch_dispatch__:5077 | attempt fast:404 | fast is_contiguous:361 | slow no contiguity match:43 | ProxyTorchDispatchMode.__torch_dispatch__:4460 2025-08-14T21:35:39.2056569Z Dynamo produced 1 graphs covering 460 ops with 0 graph breaks (0 unique) 2025-08-14T21:35:49.3987216Z 2025-08-14T21:35:49.5721290Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:35:49.5721546Z 2025-08-14T21:35:49.6746066Z model.safetensors: 0% 0.00/84.9M [00:00 BH1(C/H) -> B1H(C/H) -> B1C 2025-08-14T21:38:20.6809339Z 2025-08-14T21:38:20.6809517Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.6810124Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.6810690Z return mod(*inputs) 2025-08-14T21:38:20.6811222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.6811800Z xs = self.forward_features(x) 2025-08-14T21:38:20.6812433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.6813049Z xs = blk(xs) 2025-08-14T21:38:20.6813537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:38:20.6814125Z tmp = fusion(tmp) 2025-08-14T21:38:20.6814631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:38:20.6815203Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:38:20.6815768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 112, in forward 2025-08-14T21:38:20.6816438Z q = self.wq(x[:, 0:1, ...]).reshape(B, 1, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:38:20.6816789Z 2025-08-14T21:38:20.6816946Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.6817548Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.6818096Z return mod(*inputs) 2025-08-14T21:38:20.6818622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.6819236Z xs = self.forward_features(x) 2025-08-14T21:38:20.6819856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.6820455Z xs = blk(xs) 2025-08-14T21:38:20.6820950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:38:20.6821499Z tmp = fusion(tmp) 2025-08-14T21:38:20.6822004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:38:20.6822599Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:38:20.6823194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 114, in forward 2025-08-14T21:38:20.6823871Z k = self.wk(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:38:20.6824221Z 2025-08-14T21:38:20.6824387Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.6825026Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.6825573Z return mod(*inputs) 2025-08-14T21:38:20.6826084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.6826638Z xs = self.forward_features(x) 2025-08-14T21:38:20.6827248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.6827823Z xs = blk(xs) 2025-08-14T21:38:20.6828311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:38:20.6828859Z tmp = fusion(tmp) 2025-08-14T21:38:20.6829367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:38:20.6829965Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:38:20.6830646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 116, in forward 2025-08-14T21:38:20.6831340Z v = self.wv(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:38:20.6831685Z 2025-08-14T21:38:20.6831867Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.6832474Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.6833034Z return mod(*inputs) 2025-08-14T21:38:20.6833570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.6834140Z xs = self.forward_features(x) 2025-08-14T21:38:20.6834723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.6835302Z xs = blk(xs) 2025-08-14T21:38:20.6835801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:38:20.6836396Z tmp = fusion(tmp) 2025-08-14T21:38:20.6836921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:38:20.6837534Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:38:20.6838142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 123, in forward 2025-08-14T21:38:20.6838685Z x = self.proj(x) 2025-08-14T21:38:20.6838854Z 2025-08-14T21:38:20.6839023Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.6839667Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.6840237Z return mod(*inputs) 2025-08-14T21:38:20.6840779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.6841365Z xs = self.forward_features(x) 2025-08-14T21:38:20.6841992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.6842655Z xs = blk(xs) 2025-08-14T21:38:20.6843310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:38:20.6843928Z tmp = fusion(tmp) 2025-08-14T21:38:20.6844479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:38:20.6845276Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:38:20.6845905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 122, in forward 2025-08-14T21:38:20.6846653Z x = (attn @ v).transpose(1, 2).reshape(B, 1, C) # (BH1N @ BHN(C/H)) -> BH1(C/H) -> B1H(C/H) -> B1C 2025-08-14T21:38:20.6847033Z 2025-08-14T21:38:20.6847210Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.6847865Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.6848446Z return mod(*inputs) 2025-08-14T21:38:20.6848966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.6849549Z xs = self.forward_features(x) 2025-08-14T21:38:20.6850161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.6850764Z xs = blk(xs) 2025-08-14T21:38:20.6851273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 264, in forward 2025-08-14T21:38:20.6851918Z reverted_proj_cls_token = revert_proj(tmp[:, 0:1, ...]) 2025-08-14T21:38:20.6852207Z 2025-08-14T21:38:20.6852396Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.6853009Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.6853572Z return mod(*inputs) 2025-08-14T21:38:20.6854273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.6854848Z xs = self.forward_features(x) 2025-08-14T21:38:20.6855459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.6856049Z xs = blk(xs) 2025-08-14T21:38:20.6856549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:38:20.6857101Z tmp = fusion(tmp) 2025-08-14T21:38:20.6857628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:38:20.6858250Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:38:20.6858865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 123, in forward 2025-08-14T21:38:20.6859409Z x = self.proj(x) 2025-08-14T21:38:20.6859573Z 2025-08-14T21:38:20.6859701Z cudagraph partition due to non gpu ops 2025-08-14T21:38:20.6860162Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.6860787Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.6861358Z return mod(*inputs) 2025-08-14T21:38:20.6861904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.6862493Z xs = self.forward_features(x) 2025-08-14T21:38:20.6863096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.6863685Z xs = blk(xs) 2025-08-14T21:38:20.6864189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-08-14T21:38:20.6864858Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-08-14T21:38:20.6865197Z 2025-08-14T21:38:20.6865374Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.6866124Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.6866674Z return mod(*inputs) 2025-08-14T21:38:20.6867194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.6867779Z xs = self.forward_features(x) 2025-08-14T21:38:20.6868385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.6868977Z xs = blk(xs) 2025-08-14T21:38:20.6869473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 264, in forward 2025-08-14T21:38:20.6870116Z reverted_proj_cls_token = revert_proj(tmp[:, 0:1, ...]) 2025-08-14T21:38:20.6870392Z 2025-08-14T21:38:20.6870533Z cudagraph partition due to non gpu ops 2025-08-14T21:38:20.6870926Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.6871552Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.6872122Z return mod(*inputs) 2025-08-14T21:38:20.6872660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.6873244Z xs = self.forward_features(x) 2025-08-14T21:38:20.6873853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.6874445Z xs = blk(xs) 2025-08-14T21:38:20.6874954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-08-14T21:38:20.6875650Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-08-14T21:38:20.6875978Z 2025-08-14T21:38:20.6876153Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.6876775Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.6877340Z return mod(*inputs) 2025-08-14T21:38:20.6877943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.6878541Z xs = self.forward_features(x) 2025-08-14T21:38:20.6879165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.6879757Z xs = blk(xs) 2025-08-14T21:38:20.6880259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.6880854Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.6881487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:38:20.6882205Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:38:20.6883049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 88, in forward 2025-08-14T21:38:20.6883886Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-08-14T21:38:20.6884353Z 2025-08-14T21:38:20.6884503Z cudagraph partition due to non gpu ops 2025-08-14T21:38:20.6884926Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.6885566Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.6886117Z return mod(*inputs) 2025-08-14T21:38:20.6886665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.6887265Z xs = self.forward_features(x) 2025-08-14T21:38:20.6887874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.6888466Z xs = blk(xs) 2025-08-14T21:38:20.6888978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.6889560Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.6890205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:38:20.6890892Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:38:20.6891569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 88, in forward 2025-08-14T21:38:20.6892337Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-08-14T21:38:20.6892703Z 2025-08-14T21:38:20.6892875Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.6893512Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.6894068Z return mod(*inputs) 2025-08-14T21:38:20.6894595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.6895183Z xs = self.forward_features(x) 2025-08-14T21:38:20.6895812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.6896407Z xs = blk(xs) 2025-08-14T21:38:20.6896903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.6897477Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.6898091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:38:20.6898782Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:38:20.6899457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-08-14T21:38:20.6900076Z x = F.scaled_dot_product_attention( 2025-08-14T21:38:20.6900302Z 2025-08-14T21:38:20.6900431Z cudagraph partition due to non gpu ops 2025-08-14T21:38:20.6900837Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.6901544Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.6902109Z return mod(*inputs) 2025-08-14T21:38:20.6902631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.6903210Z xs = self.forward_features(x) 2025-08-14T21:38:20.6903816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.6904417Z xs = blk(xs) 2025-08-14T21:38:20.6904914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.6905484Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.6906107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:38:20.6906786Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:38:20.6907487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 105, in forward 2025-08-14T21:38:20.6908159Z x = self.proj(x) 2025-08-14T21:38:20.6908325Z 2025-08-14T21:38:20.6908518Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.6909165Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.6909735Z return mod(*inputs) 2025-08-14T21:38:20.6910260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.6910828Z xs = self.forward_features(x) 2025-08-14T21:38:20.6911442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.6912065Z xs = blk(xs) 2025-08-14T21:38:20.6912590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.6913158Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.6913825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:38:20.6914532Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:38:20.6915232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-08-14T21:38:20.6915897Z x = F.scaled_dot_product_attention( 2025-08-14T21:38:20.6916145Z 2025-08-14T21:38:20.6916328Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.6916990Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.6917572Z return mod(*inputs) 2025-08-14T21:38:20.6918136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.6918747Z xs = self.forward_features(x) 2025-08-14T21:38:20.6919368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.6919984Z xs = blk(xs) 2025-08-14T21:38:20.6920512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.6921113Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.6921734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:38:20.6922450Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:38:20.6923249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:38:20.6923844Z x = self.fc1(x) 2025-08-14T21:38:20.6924011Z 2025-08-14T21:38:20.6924204Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.6924876Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.6925455Z return mod(*inputs) 2025-08-14T21:38:20.6926085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.6926663Z xs = self.forward_features(x) 2025-08-14T21:38:20.6927293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.6927904Z xs = blk(xs) 2025-08-14T21:38:20.6928414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.6929004Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.6929631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:38:20.6930338Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:38:20.6931058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 105, in forward 2025-08-14T21:38:20.6931681Z x = self.proj(x) 2025-08-14T21:38:20.6931859Z 2025-08-14T21:38:20.6932096Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.6932756Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.6933358Z return mod(*inputs) 2025-08-14T21:38:20.6933888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.6934463Z xs = self.forward_features(x) 2025-08-14T21:38:20.6935082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.6935676Z xs = blk(xs) 2025-08-14T21:38:20.6936197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.6936771Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.6937383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:38:20.6938157Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:38:20.6938768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:38:20.6939296Z x = self.act(x) 2025-08-14T21:38:20.6939452Z 2025-08-14T21:38:20.6939631Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.6940270Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.6940820Z return mod(*inputs) 2025-08-14T21:38:20.6941354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.6941936Z xs = self.forward_features(x) 2025-08-14T21:38:20.6942536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.6943152Z xs = blk(xs) 2025-08-14T21:38:20.6943673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.6944249Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.6945079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:38:20.6945797Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:38:20.6946429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:38:20.6946971Z x = self.fc1(x) 2025-08-14T21:38:20.6947143Z 2025-08-14T21:38:20.6947325Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.6947986Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.6948549Z return mod(*inputs) 2025-08-14T21:38:20.6949079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.6949683Z xs = self.forward_features(x) 2025-08-14T21:38:20.6951705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.6952378Z xs = blk(xs) 2025-08-14T21:38:20.6952891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.6953481Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.6954108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:38:20.6954793Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:38:20.6955417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:38:20.6955959Z x = self.fc2(x) 2025-08-14T21:38:20.6956120Z 2025-08-14T21:38:20.6956293Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.6956953Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.6957610Z return mod(*inputs) 2025-08-14T21:38:20.6958169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.6958767Z xs = self.forward_features(x) 2025-08-14T21:38:20.6959406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.6960023Z xs = blk(xs) 2025-08-14T21:38:20.6960534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.6961147Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.6961764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:38:20.6962478Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:38:20.6963186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:38:20.6963805Z x = self.act(x) 2025-08-14T21:38:20.6964041Z 2025-08-14T21:38:20.6964255Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.6964961Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.6965567Z return mod(*inputs) 2025-08-14T21:38:20.6966121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.6966719Z xs = self.forward_features(x) 2025-08-14T21:38:20.6967343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.6967966Z xs = blk(xs) 2025-08-14T21:38:20.6968489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 257, in forward 2025-08-14T21:38:20.6969137Z proj_cls_token.append(proj(outs_b[i][:, 0:1, ...])) 2025-08-14T21:38:20.6969440Z 2025-08-14T21:38:20.6969623Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.6970307Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.6970912Z return mod(*inputs) 2025-08-14T21:38:20.6971460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.6972073Z xs = self.forward_features(x) 2025-08-14T21:38:20.6972727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.6973356Z xs = blk(xs) 2025-08-14T21:38:20.6973883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.6974487Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.6975118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:38:20.6975837Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:38:20.6976574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:38:20.6977123Z x = self.fc2(x) 2025-08-14T21:38:20.6977284Z 2025-08-14T21:38:20.6977423Z cudagraph partition due to non gpu ops 2025-08-14T21:38:20.6977830Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.6978490Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.6979061Z return mod(*inputs) 2025-08-14T21:38:20.6979582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.6980159Z xs = self.forward_features(x) 2025-08-14T21:38:20.6980780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.6981360Z xs = blk(xs) 2025-08-14T21:38:20.6981880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.6982495Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.6983106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:38:20.6983789Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:38:20.6984491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 88, in forward 2025-08-14T21:38:20.6985246Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-08-14T21:38:20.6985613Z 2025-08-14T21:38:20.6985751Z cudagraph partition due to non gpu ops 2025-08-14T21:38:20.6986148Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.6986790Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.6987366Z return mod(*inputs) 2025-08-14T21:38:20.6987895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.6988521Z xs = self.forward_features(x) 2025-08-14T21:38:20.6989141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.6989763Z xs = blk(xs) 2025-08-14T21:38:20.6990282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.6990881Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.6991523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:38:20.6992217Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:38:20.6992909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-08-14T21:38:20.6993550Z x = F.scaled_dot_product_attention( 2025-08-14T21:38:20.6993777Z 2025-08-14T21:38:20.6993961Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.6994600Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.6995175Z return mod(*inputs) 2025-08-14T21:38:20.6995721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.6996299Z xs = self.forward_features(x) 2025-08-14T21:38:20.6996908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.6997503Z xs = blk(xs) 2025-08-14T21:38:20.6998019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.6998583Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.6999203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:38:20.6999901Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:38:20.7000664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 105, in forward 2025-08-14T21:38:20.7001295Z x = self.proj(x) 2025-08-14T21:38:20.7001474Z 2025-08-14T21:38:20.7001659Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7002320Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7003049Z return mod(*inputs) 2025-08-14T21:38:20.7003632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7004259Z xs = self.forward_features(x) 2025-08-14T21:38:20.7004913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7005545Z xs = blk(xs) 2025-08-14T21:38:20.7006060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.7006702Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.7007315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:38:20.7008023Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:38:20.7008660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:38:20.7009203Z x = self.fc1(x) 2025-08-14T21:38:20.7009372Z 2025-08-14T21:38:20.7009554Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7010214Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7010788Z return mod(*inputs) 2025-08-14T21:38:20.7011318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7011983Z xs = self.forward_features(x) 2025-08-14T21:38:20.7012558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7013205Z xs = blk(xs) 2025-08-14T21:38:20.7013729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.7014334Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.7014967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:38:20.7015662Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:38:20.7016271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:38:20.7016805Z x = self.act(x) 2025-08-14T21:38:20.7016951Z 2025-08-14T21:38:20.7017131Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7017740Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7018306Z return mod(*inputs) 2025-08-14T21:38:20.7018868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7019453Z xs = self.forward_features(x) 2025-08-14T21:38:20.7020066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7020661Z xs = blk(xs) 2025-08-14T21:38:20.7021144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.7021720Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.7022327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:38:20.7023028Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:38:20.7023625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:38:20.7024154Z x = self.fc2(x) 2025-08-14T21:38:20.7024310Z 2025-08-14T21:38:20.7024590Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7025205Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7025741Z return mod(*inputs) 2025-08-14T21:38:20.7026246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7026807Z xs = self.forward_features(x) 2025-08-14T21:38:20.7027386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7027975Z xs = blk(xs) 2025-08-14T21:38:20.7028494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.7029083Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.7029684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:38:20.7030386Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:38:20.7030716Z 2025-08-14T21:38:20.7030909Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7031513Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7032058Z return mod(*inputs) 2025-08-14T21:38:20.7032575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7033145Z xs = self.forward_features(x) 2025-08-14T21:38:20.7033740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7034315Z xs = blk(xs) 2025-08-14T21:38:20.7034810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.7035363Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.7035952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:38:20.7036739Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:38:20.7037411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 88, in forward 2025-08-14T21:38:20.7038136Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-08-14T21:38:20.7038502Z 2025-08-14T21:38:20.7038637Z cudagraph partition due to non gpu ops 2025-08-14T21:38:20.7039045Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7039669Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7040237Z return mod(*inputs) 2025-08-14T21:38:20.7040769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7041350Z xs = self.forward_features(x) 2025-08-14T21:38:20.7041966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7042591Z xs = blk(xs) 2025-08-14T21:38:20.7043218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.7043831Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.7044493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:38:20.7045523Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:38:20.7046208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-08-14T21:38:20.7046814Z x = F.scaled_dot_product_attention( 2025-08-14T21:38:20.7047052Z 2025-08-14T21:38:20.7047228Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7047855Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7048420Z return mod(*inputs) 2025-08-14T21:38:20.7049146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7049730Z xs = self.forward_features(x) 2025-08-14T21:38:20.7050355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7050941Z xs = blk(xs) 2025-08-14T21:38:20.7051458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.7052036Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.7052639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:38:20.7053350Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:38:20.7054047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 105, in forward 2025-08-14T21:38:20.7054725Z x = self.proj(x) 2025-08-14T21:38:20.7054895Z 2025-08-14T21:38:20.7055071Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7055704Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7056249Z return mod(*inputs) 2025-08-14T21:38:20.7056779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7057351Z xs = self.forward_features(x) 2025-08-14T21:38:20.7057963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7058556Z xs = blk(xs) 2025-08-14T21:38:20.7059052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.7059625Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.7060222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:38:20.7060950Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:38:20.7061544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:38:20.7062067Z x = self.fc1(x) 2025-08-14T21:38:20.7062233Z 2025-08-14T21:38:20.7062415Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7063037Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7063601Z return mod(*inputs) 2025-08-14T21:38:20.7064127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7064689Z xs = self.forward_features(x) 2025-08-14T21:38:20.7065284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7065897Z xs = blk(xs) 2025-08-14T21:38:20.7066406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.7066958Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.7067573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:38:20.7068268Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:38:20.7068881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:38:20.7069390Z x = self.act(x) 2025-08-14T21:38:20.7069549Z 2025-08-14T21:38:20.7069722Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7070348Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7070897Z return mod(*inputs) 2025-08-14T21:38:20.7071434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7072028Z xs = self.forward_features(x) 2025-08-14T21:38:20.7072728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7073333Z xs = blk(xs) 2025-08-14T21:38:20.7073853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.7074446Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.7075056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:38:20.7075755Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:38:20.7076381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:38:20.7076482Z x = self.fc2(x) 2025-08-14T21:38:20.7076489Z 2025-08-14T21:38:20.7076679Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7077037Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7077194Z return mod(*inputs) 2025-08-14T21:38:20.7077575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7077695Z xs = self.forward_features(x) 2025-08-14T21:38:20.7078116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7078207Z xs = blk(xs) 2025-08-14T21:38:20.7078570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 262, in forward 2025-08-14T21:38:20.7078851Z tmp = torch.cat((proj_cls_token[i], outs_b[(i + 1) % self.num_branches][:, 1:, ...]), dim=1) 2025-08-14T21:38:20.7078858Z 2025-08-14T21:38:20.7079039Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7079392Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7079537Z return mod(*inputs) 2025-08-14T21:38:20.7079909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7080036Z xs = self.forward_features(x) 2025-08-14T21:38:20.7080446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7080537Z xs = blk(xs) 2025-08-14T21:38:20.7080916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 257, in forward 2025-08-14T21:38:20.7081089Z proj_cls_token.append(proj(outs_b[i][:, 0:1, ...])) 2025-08-14T21:38:20.7081095Z 2025-08-14T21:38:20.7081236Z cudagraph partition due to non gpu ops 2025-08-14T21:38:20.7081429Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7081800Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7081914Z return mod(*inputs) 2025-08-14T21:38:20.7082321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7082446Z xs = self.forward_features(x) 2025-08-14T21:38:20.7083002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7083105Z xs = blk(xs) 2025-08-14T21:38:20.7083503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 262, in forward 2025-08-14T21:38:20.7083795Z tmp = torch.cat((proj_cls_token[i], outs_b[(i + 1) % self.num_branches][:, 1:, ...]), dim=1) 2025-08-14T21:38:20.7083803Z 2025-08-14T21:38:20.7084004Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7084393Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7084502Z return mod(*inputs) 2025-08-14T21:38:20.7084890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7085099Z xs = self.forward_features(x) 2025-08-14T21:38:20.7085540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7085647Z xs = blk(xs) 2025-08-14T21:38:20.7086036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:38:20.7086142Z tmp = fusion(tmp) 2025-08-14T21:38:20.7086534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:38:20.7086713Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:38:20.7087092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 112, in forward 2025-08-14T21:38:20.7087384Z q = self.wq(x[:, 0:1, ...]).reshape(B, 1, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:38:20.7087390Z 2025-08-14T21:38:20.7087576Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7088007Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7088112Z return mod(*inputs) 2025-08-14T21:38:20.7088468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7088590Z xs = self.forward_features(x) 2025-08-14T21:38:20.7088987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7089078Z xs = blk(xs) 2025-08-14T21:38:20.7089435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:38:20.7089537Z tmp = fusion(tmp) 2025-08-14T21:38:20.7089900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:38:20.7090065Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:38:20.7090460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 114, in forward 2025-08-14T21:38:20.7090728Z k = self.wk(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:38:20.7090734Z 2025-08-14T21:38:20.7090912Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7091270Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7091374Z return mod(*inputs) 2025-08-14T21:38:20.7091740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7091862Z xs = self.forward_features(x) 2025-08-14T21:38:20.7092265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7092360Z xs = blk(xs) 2025-08-14T21:38:20.7092728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:38:20.7092841Z tmp = fusion(tmp) 2025-08-14T21:38:20.7093203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:38:20.7093367Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:38:20.7093723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 116, in forward 2025-08-14T21:38:20.7093990Z v = self.wv(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:38:20.7093997Z 2025-08-14T21:38:20.7094172Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7094542Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7094647Z return mod(*inputs) 2025-08-14T21:38:20.7094992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7095122Z xs = self.forward_features(x) 2025-08-14T21:38:20.7095572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7095661Z xs = blk(xs) 2025-08-14T21:38:20.7096031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:38:20.7096131Z tmp = fusion(tmp) 2025-08-14T21:38:20.7096497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:38:20.7096663Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:38:20.7097018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 122, in forward 2025-08-14T21:38:20.7097312Z x = (attn @ v).transpose(1, 2).reshape(B, 1, C) # (BH1N @ BHN(C/H)) -> BH1(C/H) -> B1H(C/H) -> B1C 2025-08-14T21:38:20.7097319Z 2025-08-14T21:38:20.7097497Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7097889Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7097999Z return mod(*inputs) 2025-08-14T21:38:20.7098359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7098487Z xs = self.forward_features(x) 2025-08-14T21:38:20.7098913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7099010Z xs = blk(xs) 2025-08-14T21:38:20.7099392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:38:20.7099492Z tmp = fusion(tmp) 2025-08-14T21:38:20.7099861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:38:20.7100034Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:38:20.7100428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 112, in forward 2025-08-14T21:38:20.7100697Z q = self.wq(x[:, 0:1, ...]).reshape(B, 1, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:38:20.7100702Z 2025-08-14T21:38:20.7100870Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7101229Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7101344Z return mod(*inputs) 2025-08-14T21:38:20.7101713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7101839Z xs = self.forward_features(x) 2025-08-14T21:38:20.7102247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7102336Z xs = blk(xs) 2025-08-14T21:38:20.7102706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:38:20.7102818Z tmp = fusion(tmp) 2025-08-14T21:38:20.7103171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:38:20.7103341Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:38:20.7103695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 114, in forward 2025-08-14T21:38:20.7103956Z k = self.wk(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:38:20.7103963Z 2025-08-14T21:38:20.7104136Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7104492Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7104610Z return mod(*inputs) 2025-08-14T21:38:20.7104964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7105094Z xs = self.forward_features(x) 2025-08-14T21:38:20.7105584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7105674Z xs = blk(xs) 2025-08-14T21:38:20.7106039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:38:20.7106138Z tmp = fusion(tmp) 2025-08-14T21:38:20.7106490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:38:20.7106662Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:38:20.7107009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 116, in forward 2025-08-14T21:38:20.7107268Z v = self.wv(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:38:20.7107275Z 2025-08-14T21:38:20.7107453Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7107852Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7107969Z return mod(*inputs) 2025-08-14T21:38:20.7108333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7108447Z xs = self.forward_features(x) 2025-08-14T21:38:20.7108860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7108951Z xs = blk(xs) 2025-08-14T21:38:20.7109327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:38:20.7109422Z tmp = fusion(tmp) 2025-08-14T21:38:20.7109788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:38:20.7109957Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:38:20.7110319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 123, in forward 2025-08-14T21:38:20.7110448Z x = self.proj(x) 2025-08-14T21:38:20.7110463Z 2025-08-14T21:38:20.7110640Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7110997Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7111109Z return mod(*inputs) 2025-08-14T21:38:20.7111469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7111582Z xs = self.forward_features(x) 2025-08-14T21:38:20.7111992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7112083Z xs = blk(xs) 2025-08-14T21:38:20.7112448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:38:20.7112553Z tmp = fusion(tmp) 2025-08-14T21:38:20.7112914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:38:20.7113082Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:38:20.7113435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 122, in forward 2025-08-14T21:38:20.7113712Z x = (attn @ v).transpose(1, 2).reshape(B, 1, C) # (BH1N @ BHN(C/H)) -> BH1(C/H) -> B1H(C/H) -> B1C 2025-08-14T21:38:20.7113717Z 2025-08-14T21:38:20.7113900Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7114273Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7114381Z return mod(*inputs) 2025-08-14T21:38:20.7114731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7114846Z xs = self.forward_features(x) 2025-08-14T21:38:20.7115308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7115402Z xs = blk(xs) 2025-08-14T21:38:20.7115756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 264, in forward 2025-08-14T21:38:20.7115950Z reverted_proj_cls_token = revert_proj(tmp[:, 0:1, ...]) 2025-08-14T21:38:20.7115959Z 2025-08-14T21:38:20.7116130Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7116483Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7116581Z return mod(*inputs) 2025-08-14T21:38:20.7116937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7117061Z xs = self.forward_features(x) 2025-08-14T21:38:20.7117467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7117561Z xs = blk(xs) 2025-08-14T21:38:20.7117970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:38:20.7118068Z tmp = fusion(tmp) 2025-08-14T21:38:20.7118440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:38:20.7118605Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:38:20.7118954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 123, in forward 2025-08-14T21:38:20.7119064Z x = self.proj(x) 2025-08-14T21:38:20.7119070Z 2025-08-14T21:38:20.7119201Z cudagraph partition due to non gpu ops 2025-08-14T21:38:20.7119379Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7119737Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7119840Z return mod(*inputs) 2025-08-14T21:38:20.7120213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7120358Z xs = self.forward_features(x) 2025-08-14T21:38:20.7120767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7120867Z xs = blk(xs) 2025-08-14T21:38:20.7121220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-08-14T21:38:20.7121467Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-08-14T21:38:20.7121474Z 2025-08-14T21:38:20.7121651Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7122016Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7122128Z return mod(*inputs) 2025-08-14T21:38:20.7122488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7122610Z xs = self.forward_features(x) 2025-08-14T21:38:20.7123168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7123275Z xs = blk(xs) 2025-08-14T21:38:20.7123673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 264, in forward 2025-08-14T21:38:20.7123870Z reverted_proj_cls_token = revert_proj(tmp[:, 0:1, ...]) 2025-08-14T21:38:20.7123878Z 2025-08-14T21:38:20.7124021Z cudagraph partition due to non gpu ops 2025-08-14T21:38:20.7124227Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7124617Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7124715Z return mod(*inputs) 2025-08-14T21:38:20.7125081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7125186Z xs = self.forward_features(x) 2025-08-14T21:38:20.7125645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7125734Z xs = blk(xs) 2025-08-14T21:38:20.7126096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-08-14T21:38:20.7126352Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-08-14T21:38:20.7126358Z 2025-08-14T21:38:20.7126540Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7126884Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7126980Z return mod(*inputs) 2025-08-14T21:38:20.7127320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7127441Z xs = self.forward_features(x) 2025-08-14T21:38:20.7127837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7127955Z xs = blk(xs) 2025-08-14T21:38:20.7128330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.7128448Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.7128885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:38:20.7129070Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:38:20.7129471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 88, in forward 2025-08-14T21:38:20.7129744Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-08-14T21:38:20.7129751Z 2025-08-14T21:38:20.7129875Z cudagraph partition due to non gpu ops 2025-08-14T21:38:20.7130045Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7130413Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7130547Z return mod(*inputs) 2025-08-14T21:38:20.7130924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7131033Z xs = self.forward_features(x) 2025-08-14T21:38:20.7131435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7131533Z xs = blk(xs) 2025-08-14T21:38:20.7131901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.7132019Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.7132443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:38:20.7132629Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:38:20.7133055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 88, in forward 2025-08-14T21:38:20.7133332Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-08-14T21:38:20.7133339Z 2025-08-14T21:38:20.7133513Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7133891Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7133989Z return mod(*inputs) 2025-08-14T21:38:20.7134360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7134475Z xs = self.forward_features(x) 2025-08-14T21:38:20.7134873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7134974Z xs = blk(xs) 2025-08-14T21:38:20.7135333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.7135451Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.7135927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:38:20.7136109Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:38:20.7136527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-08-14T21:38:20.7136656Z x = F.scaled_dot_product_attention( 2025-08-14T21:38:20.7136664Z 2025-08-14T21:38:20.7136789Z cudagraph partition due to non gpu ops 2025-08-14T21:38:20.7136973Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7137357Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7137468Z return mod(*inputs) 2025-08-14T21:38:20.7137868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7137984Z xs = self.forward_features(x) 2025-08-14T21:38:20.7138478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7138566Z xs = blk(xs) 2025-08-14T21:38:20.7138927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.7139054Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.7139465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:38:20.7139645Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:38:20.7140067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 105, in forward 2025-08-14T21:38:20.7140164Z x = self.proj(x) 2025-08-14T21:38:20.7140173Z 2025-08-14T21:38:20.7140358Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7140713Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7140868Z return mod(*inputs) 2025-08-14T21:38:20.7141248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7141369Z xs = self.forward_features(x) 2025-08-14T21:38:20.7141787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7141879Z xs = blk(xs) 2025-08-14T21:38:20.7142257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.7142389Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.7142830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:38:20.7143016Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:38:20.7143460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-08-14T21:38:20.7143601Z x = F.scaled_dot_product_attention( 2025-08-14T21:38:20.7143608Z 2025-08-14T21:38:20.7143820Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7144188Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7144294Z return mod(*inputs) 2025-08-14T21:38:20.7144900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7145023Z xs = self.forward_features(x) 2025-08-14T21:38:20.7145427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7145530Z xs = blk(xs) 2025-08-14T21:38:20.7145909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.7146041Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.7146619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:38:20.7146821Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:38:20.7147188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:38:20.7147285Z x = self.fc1(x) 2025-08-14T21:38:20.7147292Z 2025-08-14T21:38:20.7147481Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7147871Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7147980Z return mod(*inputs) 2025-08-14T21:38:20.7148395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7148517Z xs = self.forward_features(x) 2025-08-14T21:38:20.7148942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7149095Z xs = blk(xs) 2025-08-14T21:38:20.7149480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.7149599Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.7150045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:38:20.7150234Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:38:20.7150673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 105, in forward 2025-08-14T21:38:20.7150776Z x = self.proj(x) 2025-08-14T21:38:20.7150782Z 2025-08-14T21:38:20.7150969Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7151361Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7151474Z return mod(*inputs) 2025-08-14T21:38:20.7151866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7152038Z xs = self.forward_features(x) 2025-08-14T21:38:20.7152462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7152565Z xs = blk(xs) 2025-08-14T21:38:20.7152952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.7153068Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.7153509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:38:20.7153702Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:38:20.7154065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:38:20.7154168Z x = self.act(x) 2025-08-14T21:38:20.7154174Z 2025-08-14T21:38:20.7154365Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7154768Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7154882Z return mod(*inputs) 2025-08-14T21:38:20.7155262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7155395Z xs = self.forward_features(x) 2025-08-14T21:38:20.7155829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7155934Z xs = blk(xs) 2025-08-14T21:38:20.7156318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.7156441Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.7156893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:38:20.7157082Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:38:20.7157491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:38:20.7157603Z x = self.fc1(x) 2025-08-14T21:38:20.7157610Z 2025-08-14T21:38:20.7157795Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7158185Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7158297Z return mod(*inputs) 2025-08-14T21:38:20.7158691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7158827Z xs = self.forward_features(x) 2025-08-14T21:38:20.7159261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7159367Z xs = blk(xs) 2025-08-14T21:38:20.7159743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.7159866Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.7160351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:38:20.7160531Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:38:20.7160895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:38:20.7161005Z x = self.fc2(x) 2025-08-14T21:38:20.7161012Z 2025-08-14T21:38:20.7161194Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7161582Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7161688Z return mod(*inputs) 2025-08-14T21:38:20.7162076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7162199Z xs = self.forward_features(x) 2025-08-14T21:38:20.7162633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7162760Z xs = blk(xs) 2025-08-14T21:38:20.7163253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.7163383Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.7163837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:38:20.7164026Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:38:20.7164383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:38:20.7164498Z x = self.act(x) 2025-08-14T21:38:20.7164505Z 2025-08-14T21:38:20.7164691Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7165087Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7165210Z return mod(*inputs) 2025-08-14T21:38:20.7165628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7165765Z xs = self.forward_features(x) 2025-08-14T21:38:20.7166222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7166320Z xs = blk(xs) 2025-08-14T21:38:20.7166716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 257, in forward 2025-08-14T21:38:20.7166905Z proj_cls_token.append(proj(outs_b[i][:, 0:1, ...])) 2025-08-14T21:38:20.7166913Z 2025-08-14T21:38:20.7167098Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7167509Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7167620Z return mod(*inputs) 2025-08-14T21:38:20.7168032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7168160Z xs = self.forward_features(x) 2025-08-14T21:38:20.7168682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7168798Z xs = blk(xs) 2025-08-14T21:38:20.7169201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.7169331Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.7169796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:38:20.7169995Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:38:20.7170383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:38:20.7170484Z x = self.fc2(x) 2025-08-14T21:38:20.7170492Z 2025-08-14T21:38:20.7170634Z cudagraph partition due to non gpu ops 2025-08-14T21:38:20.7170833Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7171254Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7171376Z return mod(*inputs) 2025-08-14T21:38:20.7171781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7171907Z xs = self.forward_features(x) 2025-08-14T21:38:20.7172367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7172467Z xs = blk(xs) 2025-08-14T21:38:20.7172852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.7172969Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.7173371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:38:20.7173556Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:38:20.7173986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 88, in forward 2025-08-14T21:38:20.7174247Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-08-14T21:38:20.7174253Z 2025-08-14T21:38:20.7174389Z cudagraph partition due to non gpu ops 2025-08-14T21:38:20.7174569Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7174927Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7175042Z return mod(*inputs) 2025-08-14T21:38:20.7175407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7175528Z xs = self.forward_features(x) 2025-08-14T21:38:20.7175933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7176020Z xs = blk(xs) 2025-08-14T21:38:20.7176388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.7176507Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.7176912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:38:20.7177100Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:38:20.7177506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-08-14T21:38:20.7177640Z x = F.scaled_dot_product_attention( 2025-08-14T21:38:20.7177646Z 2025-08-14T21:38:20.7177820Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7178174Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7178286Z return mod(*inputs) 2025-08-14T21:38:20.7178646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7178773Z xs = self.forward_features(x) 2025-08-14T21:38:20.7179224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7179314Z xs = blk(xs) 2025-08-14T21:38:20.7179684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.7179800Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.7180210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:38:20.7180388Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:38:20.7180801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 105, in forward 2025-08-14T21:38:20.7180905Z x = self.proj(x) 2025-08-14T21:38:20.7180911Z 2025-08-14T21:38:20.7181077Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7181477Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7181589Z return mod(*inputs) 2025-08-14T21:38:20.7181951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7182066Z xs = self.forward_features(x) 2025-08-14T21:38:20.7182468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7182556Z xs = blk(xs) 2025-08-14T21:38:20.7182918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.7183027Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.7183433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:38:20.7183617Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:38:20.7183953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:38:20.7184083Z x = self.fc1(x) 2025-08-14T21:38:20.7184098Z 2025-08-14T21:38:20.7184269Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7184630Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7184747Z return mod(*inputs) 2025-08-14T21:38:20.7185132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7185247Z xs = self.forward_features(x) 2025-08-14T21:38:20.7185683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7185773Z xs = blk(xs) 2025-08-14T21:38:20.7186130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.7186247Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.7186666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:38:20.7186841Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:38:20.7187156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:38:20.7187248Z x = self.act(x) 2025-08-14T21:38:20.7187254Z 2025-08-14T21:38:20.7187433Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7187776Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7187883Z return mod(*inputs) 2025-08-14T21:38:20.7188230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7188337Z xs = self.forward_features(x) 2025-08-14T21:38:20.7188733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7188824Z xs = blk(xs) 2025-08-14T21:38:20.7189230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.7189351Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.7189756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:38:20.7189942Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:38:20.7190268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:38:20.7190362Z x = self.fc2(x) 2025-08-14T21:38:20.7190368Z 2025-08-14T21:38:20.7190550Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7190908Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7191008Z return mod(*inputs) 2025-08-14T21:38:20.7191377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7191525Z xs = self.forward_features(x) 2025-08-14T21:38:20.7191936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7192021Z xs = blk(xs) 2025-08-14T21:38:20.7192378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.7192496Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.7192848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:38:20.7192985Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:38:20.7192997Z 2025-08-14T21:38:20.7193162Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7193517Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7193658Z return mod(*inputs) 2025-08-14T21:38:20.7194032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7194148Z xs = self.forward_features(x) 2025-08-14T21:38:20.7194574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7194663Z xs = blk(xs) 2025-08-14T21:38:20.7195024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.7195144Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.7195553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:38:20.7195732Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:38:20.7196136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 88, in forward 2025-08-14T21:38:20.7196411Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-08-14T21:38:20.7196420Z 2025-08-14T21:38:20.7196561Z cudagraph partition due to non gpu ops 2025-08-14T21:38:20.7196746Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7197133Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7197244Z return mod(*inputs) 2025-08-14T21:38:20.7197617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7197750Z xs = self.forward_features(x) 2025-08-14T21:38:20.7198177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7198270Z xs = blk(xs) 2025-08-14T21:38:20.7198654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.7198773Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.7199270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:38:20.7199455Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:38:20.7199890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-08-14T21:38:20.7200033Z x = F.scaled_dot_product_attention( 2025-08-14T21:38:20.7200040Z 2025-08-14T21:38:20.7200221Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7200608Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7200716Z return mod(*inputs) 2025-08-14T21:38:20.7201102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7201232Z xs = self.forward_features(x) 2025-08-14T21:38:20.7201663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7201796Z xs = blk(xs) 2025-08-14T21:38:20.7202192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.7202315Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.7202772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:38:20.7203065Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:38:20.7203517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 105, in forward 2025-08-14T21:38:20.7203635Z x = self.proj(x) 2025-08-14T21:38:20.7203642Z 2025-08-14T21:38:20.7203830Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7204215Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7204333Z return mod(*inputs) 2025-08-14T21:38:20.7204760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7204892Z xs = self.forward_features(x) 2025-08-14T21:38:20.7205332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7205429Z xs = blk(xs) 2025-08-14T21:38:20.7205825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.7205945Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.7206383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:38:20.7206586Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:38:20.7206941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:38:20.7207051Z x = self.fc1(x) 2025-08-14T21:38:20.7207064Z 2025-08-14T21:38:20.7207257Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7207635Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7207753Z return mod(*inputs) 2025-08-14T21:38:20.7208138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7208256Z xs = self.forward_features(x) 2025-08-14T21:38:20.7208700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7208794Z xs = blk(xs) 2025-08-14T21:38:20.7209178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.7209298Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.7209730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:38:20.7209921Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:38:20.7210332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:38:20.7210429Z x = self.act(x) 2025-08-14T21:38:20.7210444Z 2025-08-14T21:38:20.7210622Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7210995Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7211107Z return mod(*inputs) 2025-08-14T21:38:20.7211468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7211579Z xs = self.forward_features(x) 2025-08-14T21:38:20.7211997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7212088Z xs = blk(xs) 2025-08-14T21:38:20.7212447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:38:20.7212597Z outs_b.append(block(x[i])) 2025-08-14T21:38:20.7213016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:38:20.7213198Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:38:20.7213531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:38:20.7213625Z x = self.fc2(x) 2025-08-14T21:38:20.7213632Z 2025-08-14T21:38:20.7213809Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7214178Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7214294Z return mod(*inputs) 2025-08-14T21:38:20.7214681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7214801Z xs = self.forward_features(x) 2025-08-14T21:38:20.7215277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7215373Z xs = blk(xs) 2025-08-14T21:38:20.7215747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 262, in forward 2025-08-14T21:38:20.7216041Z tmp = torch.cat((proj_cls_token[i], outs_b[(i + 1) % self.num_branches][:, 1:, ...]), dim=1) 2025-08-14T21:38:20.7216048Z 2025-08-14T21:38:20.7216232Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7216616Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7216724Z return mod(*inputs) 2025-08-14T21:38:20.7217099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7217229Z xs = self.forward_features(x) 2025-08-14T21:38:20.7217651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7217761Z xs = blk(xs) 2025-08-14T21:38:20.7218143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 257, in forward 2025-08-14T21:38:20.7218322Z proj_cls_token.append(proj(outs_b[i][:, 0:1, ...])) 2025-08-14T21:38:20.7218329Z 2025-08-14T21:38:20.7218472Z cudagraph partition due to non gpu ops 2025-08-14T21:38:20.7218651Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7219086Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7219192Z return mod(*inputs) 2025-08-14T21:38:20.7219551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7219677Z xs = self.forward_features(x) 2025-08-14T21:38:20.7220106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7220203Z xs = blk(xs) 2025-08-14T21:38:20.7220662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 262, in forward 2025-08-14T21:38:20.7220949Z tmp = torch.cat((proj_cls_token[i], outs_b[(i + 1) % self.num_branches][:, 1:, ...]), dim=1) 2025-08-14T21:38:20.7220956Z 2025-08-14T21:38:20.7221129Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7221482Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7221578Z return mod(*inputs) 2025-08-14T21:38:20.7221937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7222052Z xs = self.forward_features(x) 2025-08-14T21:38:20.7222455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7222558Z xs = blk(xs) 2025-08-14T21:38:20.7222901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:38:20.7223080Z tmp = fusion(tmp) 2025-08-14T21:38:20.7223431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:38:20.7223600Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:38:20.7223954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 112, in forward 2025-08-14T21:38:20.7224215Z q = self.wq(x[:, 0:1, ...]).reshape(B, 1, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:38:20.7224224Z 2025-08-14T21:38:20.7224390Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7224750Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7224845Z return mod(*inputs) 2025-08-14T21:38:20.7225215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7225362Z xs = self.forward_features(x) 2025-08-14T21:38:20.7225756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7225852Z xs = blk(xs) 2025-08-14T21:38:20.7226200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:38:20.7226295Z tmp = fusion(tmp) 2025-08-14T21:38:20.7226652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:38:20.7226815Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:38:20.7227168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 114, in forward 2025-08-14T21:38:20.7227421Z k = self.wk(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:38:20.7227429Z 2025-08-14T21:38:20.7227602Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7227974Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7228075Z return mod(*inputs) 2025-08-14T21:38:20.7228430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7228549Z xs = self.forward_features(x) 2025-08-14T21:38:20.7228953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7229048Z xs = blk(xs) 2025-08-14T21:38:20.7229401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:38:20.7229499Z tmp = fusion(tmp) 2025-08-14T21:38:20.7229856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:38:20.7230018Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:38:20.7230423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 116, in forward 2025-08-14T21:38:20.7230677Z v = self.wv(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:38:20.7230683Z 2025-08-14T21:38:20.7230853Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7231201Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7231299Z return mod(*inputs) 2025-08-14T21:38:20.7231654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7231776Z xs = self.forward_features(x) 2025-08-14T21:38:20.7232179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7232273Z xs = blk(xs) 2025-08-14T21:38:20.7232616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:38:20.7232742Z tmp = fusion(tmp) 2025-08-14T21:38:20.7233106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:38:20.7233257Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:38:20.7233605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 122, in forward 2025-08-14T21:38:20.7233891Z x = (attn @ v).transpose(1, 2).reshape(B, 1, C) # (BH1N @ BHN(C/H)) -> BH1(C/H) -> B1H(C/H) -> B1C 2025-08-14T21:38:20.7233897Z 2025-08-14T21:38:20.7234072Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7234431Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7234535Z return mod(*inputs) 2025-08-14T21:38:20.7234885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7235032Z xs = self.forward_features(x) 2025-08-14T21:38:20.7235428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7235524Z xs = blk(xs) 2025-08-14T21:38:20.7235875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:38:20.7235974Z tmp = fusion(tmp) 2025-08-14T21:38:20.7236330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:38:20.7236490Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:38:20.7236832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 112, in forward 2025-08-14T21:38:20.7237098Z q = self.wq(x[:, 0:1, ...]).reshape(B, 1, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:38:20.7237103Z 2025-08-14T21:38:20.7237275Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7237639Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7237740Z return mod(*inputs) 2025-08-14T21:38:20.7238097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7238221Z xs = self.forward_features(x) 2025-08-14T21:38:20.7238629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7238725Z xs = blk(xs) 2025-08-14T21:38:20.7239076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:38:20.7239169Z tmp = fusion(tmp) 2025-08-14T21:38:20.7239542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:38:20.7239706Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:38:20.7240119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 114, in forward 2025-08-14T21:38:20.7240390Z k = self.wk(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:38:20.7240398Z 2025-08-14T21:38:20.7240578Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7240953Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7241059Z return mod(*inputs) 2025-08-14T21:38:20.7241441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7241571Z xs = self.forward_features(x) 2025-08-14T21:38:20.7241994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7242089Z xs = blk(xs) 2025-08-14T21:38:20.7242479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:38:20.7242620Z tmp = fusion(tmp) 2025-08-14T21:38:20.7243118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:38:20.7243324Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:38:20.7243707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 116, in forward 2025-08-14T21:38:20.7243988Z v = self.wv(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:38:20.7243996Z 2025-08-14T21:38:20.7244191Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7244723Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7244858Z return mod(*inputs) 2025-08-14T21:38:20.7245241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7245463Z xs = self.forward_features(x) 2025-08-14T21:38:20.7245886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7245976Z xs = blk(xs) 2025-08-14T21:38:20.7246354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:38:20.7246448Z tmp = fusion(tmp) 2025-08-14T21:38:20.7246810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:38:20.7246982Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:38:20.7247338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 123, in forward 2025-08-14T21:38:20.7247448Z x = self.proj(x) 2025-08-14T21:38:20.7247455Z 2025-08-14T21:38:20.7247637Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7248001Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7248118Z return mod(*inputs) 2025-08-14T21:38:20.7248484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7248607Z xs = self.forward_features(x) 2025-08-14T21:38:20.7249018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7249107Z xs = blk(xs) 2025-08-14T21:38:20.7249487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:38:20.7249587Z tmp = fusion(tmp) 2025-08-14T21:38:20.7249953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:38:20.7250129Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:38:20.7250490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 122, in forward 2025-08-14T21:38:20.7250872Z x = (attn @ v).transpose(1, 2).reshape(B, 1, C) # (BH1N @ BHN(C/H)) -> BH1(C/H) -> B1H(C/H) -> B1C 2025-08-14T21:38:20.7250880Z 2025-08-14T21:38:20.7251053Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7251406Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7251519Z return mod(*inputs) 2025-08-14T21:38:20.7251881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7251992Z xs = self.forward_features(x) 2025-08-14T21:38:20.7252410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7252494Z xs = blk(xs) 2025-08-14T21:38:20.7252868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 264, in forward 2025-08-14T21:38:20.7253058Z reverted_proj_cls_token = revert_proj(tmp[:, 0:1, ...]) 2025-08-14T21:38:20.7253109Z 2025-08-14T21:38:20.7253285Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7253652Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7253756Z return mod(*inputs) 2025-08-14T21:38:20.7254119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7254234Z xs = self.forward_features(x) 2025-08-14T21:38:20.7254639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7254737Z xs = blk(xs) 2025-08-14T21:38:20.7255091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:38:20.7255193Z tmp = fusion(tmp) 2025-08-14T21:38:20.7255566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:38:20.7255758Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:38:20.7256137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 123, in forward 2025-08-14T21:38:20.7256232Z x = self.proj(x) 2025-08-14T21:38:20.7256238Z 2025-08-14T21:38:20.7256370Z cudagraph partition due to non gpu ops 2025-08-14T21:38:20.7256549Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7256895Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7256994Z return mod(*inputs) 2025-08-14T21:38:20.7257362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7257465Z xs = self.forward_features(x) 2025-08-14T21:38:20.7257868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7257957Z xs = blk(xs) 2025-08-14T21:38:20.7258313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-08-14T21:38:20.7258539Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-08-14T21:38:20.7258546Z 2025-08-14T21:38:20.7258714Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7259059Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7259165Z return mod(*inputs) 2025-08-14T21:38:20.7259514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7259633Z xs = self.forward_features(x) 2025-08-14T21:38:20.7260024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7260110Z xs = blk(xs) 2025-08-14T21:38:20.7260471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 264, in forward 2025-08-14T21:38:20.7260717Z reverted_proj_cls_token = revert_proj(tmp[:, 0:1, ...]) 2025-08-14T21:38:20.7260724Z 2025-08-14T21:38:20.7260903Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7261251Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7261351Z return mod(*inputs) 2025-08-14T21:38:20.7261712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 463, in forward 2025-08-14T21:38:20.7261822Z x = self.forward_head(xs) 2025-08-14T21:38:20.7262207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 456, in forward_head 2025-08-14T21:38:20.7262338Z xs = [self.head_drop(x) for x in xs] 2025-08-14T21:38:20.7262716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 456, in 2025-08-14T21:38:20.7262847Z xs = [self.head_drop(x) for x in xs] 2025-08-14T21:38:20.7262884Z 2025-08-14T21:38:20.7263012Z cudagraph partition due to non gpu ops 2025-08-14T21:38:20.7263184Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7263543Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7263645Z return mod(*inputs) 2025-08-14T21:38:20.7263993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:38:20.7264113Z xs = self.forward_features(x) 2025-08-14T21:38:20.7264499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:38:20.7264594Z xs = blk(xs) 2025-08-14T21:38:20.7264942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-08-14T21:38:20.7265144Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-08-14T21:38:20.7265176Z 2025-08-14T21:38:20.7265357Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7265700Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7265796Z return mod(*inputs) 2025-08-14T21:38:20.7266165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 463, in forward 2025-08-14T21:38:20.7266274Z x = self.forward_head(xs) 2025-08-14T21:38:20.7266662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in forward_head 2025-08-14T21:38:20.7266964Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-08-14T21:38:20.7267335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in 2025-08-14T21:38:20.7267624Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-08-14T21:38:20.7267629Z 2025-08-14T21:38:20.7267790Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7268133Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7268228Z return mod(*inputs) 2025-08-14T21:38:20.7268571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 463, in forward 2025-08-14T21:38:20.7268682Z x = self.forward_head(xs) 2025-08-14T21:38:20.7269062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 456, in forward_head 2025-08-14T21:38:20.7269174Z xs = [self.head_drop(x) for x in xs] 2025-08-14T21:38:20.7269552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 456, in 2025-08-14T21:38:20.7269667Z xs = [self.head_drop(x) for x in xs] 2025-08-14T21:38:20.7269673Z 2025-08-14T21:38:20.7269850Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7270248Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7270357Z return mod(*inputs) 2025-08-14T21:38:20.7270722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 463, in forward 2025-08-14T21:38:20.7270829Z x = self.forward_head(xs) 2025-08-14T21:38:20.7271205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in forward_head 2025-08-14T21:38:20.7271500Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-08-14T21:38:20.7271868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in 2025-08-14T21:38:20.7272164Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-08-14T21:38:20.7272171Z 2025-08-14T21:38:20.7272343Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7272698Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7272837Z return mod(*inputs) 2025-08-14T21:38:20.7273197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 463, in forward 2025-08-14T21:38:20.7273311Z x = self.forward_head(xs) 2025-08-14T21:38:20.7273694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in forward_head 2025-08-14T21:38:20.7273986Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-08-14T21:38:20.7273992Z 2025-08-14T21:38:20.7274172Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:38:20.7274513Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:38:20.7274624Z return mod(*inputs) 2025-08-14T21:38:20.7274980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 463, in forward 2025-08-14T21:38:20.7275120Z x = self.forward_head(xs) 2025-08-14T21:38:20.7275514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in forward_head 2025-08-14T21:38:20.7275809Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-08-14T21:38:20.7275815Z 2025-08-14T21:38:34.4213429Z Compilation time (from dynamo_timed): 63.853203936 2025-08-14T21:38:34.4216339Z pass 2025-08-14T21:38:34.4222083Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:38:34.4223071Z TIMING: _recursive_pre_grad_passes:0.01102 _recursive_joint_graph_passes:2.92518 _recursive_post_grad_passes:0.16762 async_compile.wait:0.7906 code_gen:11.67654 inductor_compile:18.79572 backend_compile:47.68636 gc:0.00034 entire_frame_compile:63.8532 total_wall_time:63.8532 2025-08-14T21:38:34.4224270Z STATS: call_* op count: 487 | FakeTensorMode.__torch_dispatch__:24793 | FakeTensor.__torch_dispatch__:9194 | attempt fast:649 | fast is_contiguous:634 | slow no contiguity match:15 | ProxyTorchDispatchMode.__torch_dispatch__:7676 2025-08-14T21:38:34.4224935Z Dynamo produced 1 graphs covering 487 ops with 0 graph breaks (0 unique) 2025-08-14T21:38:49.0956356Z 2025-08-14T21:38:49.3756229Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:38:49.5745584Z 2025-08-14T21:38:49.5746452Z model.safetensors: 0% 0.00/111M [00:00 2025-08-14T21:51:28.6010661Z xl = [t(x) for i, t in enumerate(self.transition1)] 2025-08-14T21:51:28.6010837Z 2025-08-14T21:51:28.6010953Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6011341Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6011714Z return mod(*inputs) 2025-08-14T21:51:28.6012027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6012377Z y = self.forward_features(x) 2025-08-14T21:51:28.6012745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6013118Z yl = self.stages(x) 2025-08-14T21:51:28.6013437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 750, in stages 2025-08-14T21:51:28.6013854Z xl = [t(x) for i, t in enumerate(self.transition1)] 2025-08-14T21:51:28.6014241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 750, in 2025-08-14T21:51:28.6014622Z xl = [t(x) for i, t in enumerate(self.transition1)] 2025-08-14T21:51:28.6014793Z 2025-08-14T21:51:28.6014908Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6015304Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6015649Z return mod(*inputs) 2025-08-14T21:51:28.6015973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6016325Z y = self.forward_features(x) 2025-08-14T21:51:28.6016717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6017095Z yl = self.stages(x) 2025-08-14T21:51:28.6017410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:51:28.6017755Z yl = self.stage2(xl) 2025-08-14T21:51:28.6018076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6018429Z x = module(x) 2025-08-14T21:51:28.6018754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6019107Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6019423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6019767Z x = self.conv1(x) 2025-08-14T21:51:28.6019874Z 2025-08-14T21:51:28.6019995Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6020380Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6020733Z return mod(*inputs) 2025-08-14T21:51:28.6021054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6021424Z y = self.forward_features(x) 2025-08-14T21:51:28.6021785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6022159Z yl = self.stages(x) 2025-08-14T21:51:28.6022480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:51:28.6022827Z yl = self.stage2(xl) 2025-08-14T21:51:28.6023160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6023510Z x = module(x) 2025-08-14T21:51:28.6023829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6024175Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6024521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6024879Z x = self.act1(x) 2025-08-14T21:51:28.6024986Z 2025-08-14T21:51:28.6025098Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6025496Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6025850Z return mod(*inputs) 2025-08-14T21:51:28.6026184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6026529Z y = self.forward_features(x) 2025-08-14T21:51:28.6026901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6027275Z yl = self.stages(x) 2025-08-14T21:51:28.6027584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:51:28.6027928Z yl = self.stage2(xl) 2025-08-14T21:51:28.6028252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6028664Z x = module(x) 2025-08-14T21:51:28.6028973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6029323Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6029659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6030002Z x = self.conv2(x) 2025-08-14T21:51:28.6030118Z 2025-08-14T21:51:28.6030228Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6030622Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6030974Z return mod(*inputs) 2025-08-14T21:51:28.6031289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6031671Z y = self.forward_features(x) 2025-08-14T21:51:28.6032057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6032433Z yl = self.stages(x) 2025-08-14T21:51:28.6032754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:51:28.6033097Z yl = self.stage2(xl) 2025-08-14T21:51:28.6033423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6033755Z x = module(x) 2025-08-14T21:51:28.6034065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6034404Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6034718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6035062Z x = self.act2(x) 2025-08-14T21:51:28.6035172Z 2025-08-14T21:51:28.6035297Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6035694Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6036040Z return mod(*inputs) 2025-08-14T21:51:28.6036361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6036712Z y = self.forward_features(x) 2025-08-14T21:51:28.6037077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6037450Z yl = self.stages(x) 2025-08-14T21:51:28.6037787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:51:28.6038130Z yl = self.stage2(xl) 2025-08-14T21:51:28.6038449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6038789Z x = module(x) 2025-08-14T21:51:28.6039115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6039494Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6039828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6040174Z x = self.conv1(x) 2025-08-14T21:51:28.6040282Z 2025-08-14T21:51:28.6040394Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6040789Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6041142Z return mod(*inputs) 2025-08-14T21:51:28.6041468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6041822Z y = self.forward_features(x) 2025-08-14T21:51:28.6042211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6042586Z yl = self.stages(x) 2025-08-14T21:51:28.6042987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:51:28.6043412Z yl = self.stage2(xl) 2025-08-14T21:51:28.6043788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6044144Z x = module(x) 2025-08-14T21:51:28.6044463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6044977Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6045309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6045652Z x = self.act1(x) 2025-08-14T21:51:28.6045770Z 2025-08-14T21:51:28.6045883Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6046287Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6046651Z return mod(*inputs) 2025-08-14T21:51:28.6047022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6047379Z y = self.forward_features(x) 2025-08-14T21:51:28.6047757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6048122Z yl = self.stages(x) 2025-08-14T21:51:28.6048439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:51:28.6048788Z yl = self.stage2(xl) 2025-08-14T21:51:28.6049115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6049448Z x = module(x) 2025-08-14T21:51:28.6049762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6050113Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6050431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6050780Z x = self.conv2(x) 2025-08-14T21:51:28.6050897Z 2025-08-14T21:51:28.6051015Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6051419Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6051787Z return mod(*inputs) 2025-08-14T21:51:28.6052109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6052462Z y = self.forward_features(x) 2025-08-14T21:51:28.6052831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6053208Z yl = self.stages(x) 2025-08-14T21:51:28.6053524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:51:28.6053864Z yl = self.stage2(xl) 2025-08-14T21:51:28.6054180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6054525Z x = module(x) 2025-08-14T21:51:28.6054870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6055211Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6055537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6055889Z x = self.act2(x) 2025-08-14T21:51:28.6055995Z 2025-08-14T21:51:28.6056117Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6056501Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6056861Z return mod(*inputs) 2025-08-14T21:51:28.6057180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6057526Z y = self.forward_features(x) 2025-08-14T21:51:28.6057900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6058302Z yl = self.stages(x) 2025-08-14T21:51:28.6058627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:51:28.6059003Z yl = self.stage2(xl) 2025-08-14T21:51:28.6059340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6059702Z x = module(x) 2025-08-14T21:51:28.6060010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6060370Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6060695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6061047Z x = self.conv1(x) 2025-08-14T21:51:28.6061155Z 2025-08-14T21:51:28.6061265Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6061695Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6062048Z return mod(*inputs) 2025-08-14T21:51:28.6062381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6062769Z y = self.forward_features(x) 2025-08-14T21:51:28.6063154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6063542Z yl = self.stages(x) 2025-08-14T21:51:28.6063849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:51:28.6064209Z yl = self.stage2(xl) 2025-08-14T21:51:28.6064550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6064909Z x = module(x) 2025-08-14T21:51:28.6065241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6065619Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6065949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6066289Z x = self.act1(x) 2025-08-14T21:51:28.6066401Z 2025-08-14T21:51:28.6066515Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6066918Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6067277Z return mod(*inputs) 2025-08-14T21:51:28.6067595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6067968Z y = self.forward_features(x) 2025-08-14T21:51:28.6068350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6068712Z yl = self.stages(x) 2025-08-14T21:51:28.6069025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:51:28.6069367Z yl = self.stage2(xl) 2025-08-14T21:51:28.6069703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6070051Z x = module(x) 2025-08-14T21:51:28.6070360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6070696Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6071026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6071374Z x = self.conv2(x) 2025-08-14T21:51:28.6071481Z 2025-08-14T21:51:28.6071602Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6071996Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6072350Z return mod(*inputs) 2025-08-14T21:51:28.6072674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6073022Z y = self.forward_features(x) 2025-08-14T21:51:28.6073417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6073805Z yl = self.stages(x) 2025-08-14T21:51:28.6074117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:51:28.6074446Z yl = self.stage2(xl) 2025-08-14T21:51:28.6074764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6075096Z x = module(x) 2025-08-14T21:51:28.6075395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6075740Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6076061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6076402Z x = self.act2(x) 2025-08-14T21:51:28.6076510Z 2025-08-14T21:51:28.6076646Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6077044Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6077399Z return mod(*inputs) 2025-08-14T21:51:28.6077711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6078061Z y = self.forward_features(x) 2025-08-14T21:51:28.6078436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6078817Z yl = self.stages(x) 2025-08-14T21:51:28.6079122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:51:28.6079462Z yl = self.stage2(xl) 2025-08-14T21:51:28.6079790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6080133Z x = module(x) 2025-08-14T21:51:28.6080457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6080818Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6081141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6081493Z x = self.conv1(x) 2025-08-14T21:51:28.6081607Z 2025-08-14T21:51:28.6081719Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6082110Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6082451Z return mod(*inputs) 2025-08-14T21:51:28.6082845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6083231Z y = self.forward_features(x) 2025-08-14T21:51:28.6083605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6083987Z yl = self.stages(x) 2025-08-14T21:51:28.6084337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:51:28.6084677Z yl = self.stage2(xl) 2025-08-14T21:51:28.6084994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6085336Z x = module(x) 2025-08-14T21:51:28.6085647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6085988Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6086292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6086631Z x = self.act1(x) 2025-08-14T21:51:28.6086733Z 2025-08-14T21:51:28.6086849Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6087224Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6087566Z return mod(*inputs) 2025-08-14T21:51:28.6087879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6088283Z y = self.forward_features(x) 2025-08-14T21:51:28.6088634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6088994Z yl = self.stages(x) 2025-08-14T21:51:28.6089295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:51:28.6089619Z yl = self.stage2(xl) 2025-08-14T21:51:28.6089929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6090257Z x = module(x) 2025-08-14T21:51:28.6090547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6090878Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6091208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6091547Z x = self.conv2(x) 2025-08-14T21:51:28.6091658Z 2025-08-14T21:51:28.6091773Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6092154Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6092498Z return mod(*inputs) 2025-08-14T21:51:28.6092799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6093142Z y = self.forward_features(x) 2025-08-14T21:51:28.6093502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6093875Z yl = self.stages(x) 2025-08-14T21:51:28.6094173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:51:28.6094503Z yl = self.stage2(xl) 2025-08-14T21:51:28.6094819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6095143Z x = module(x) 2025-08-14T21:51:28.6095448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6095781Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6096094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6096424Z x = self.act2(x) 2025-08-14T21:51:28.6096534Z 2025-08-14T21:51:28.6096645Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6097026Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6097361Z return mod(*inputs) 2025-08-14T21:51:28.6097672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6098014Z y = self.forward_features(x) 2025-08-14T21:51:28.6098376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6098750Z yl = self.stages(x) 2025-08-14T21:51:28.6099060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 750, in stages 2025-08-14T21:51:28.6099417Z xl = [t(x) for i, t in enumerate(self.transition1)] 2025-08-14T21:51:28.6099798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 750, in 2025-08-14T21:51:28.6100178Z xl = [t(x) for i, t in enumerate(self.transition1)] 2025-08-14T21:51:28.6100344Z 2025-08-14T21:51:28.6100454Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6100839Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6101181Z return mod(*inputs) 2025-08-14T21:51:28.6101486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6101824Z y = self.forward_features(x) 2025-08-14T21:51:28.6102204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6102582Z yl = self.stages(x) 2025-08-14T21:51:28.6102885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 750, in stages 2025-08-14T21:51:28.6103242Z xl = [t(x) for i, t in enumerate(self.transition1)] 2025-08-14T21:51:28.6103607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 750, in 2025-08-14T21:51:28.6103974Z xl = [t(x) for i, t in enumerate(self.transition1)] 2025-08-14T21:51:28.6104128Z 2025-08-14T21:51:28.6104247Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6104626Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6104956Z return mod(*inputs) 2025-08-14T21:51:28.6105297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6105652Z y = self.forward_features(x) 2025-08-14T21:51:28.6106014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6106387Z yl = self.stages(x) 2025-08-14T21:51:28.6106707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:51:28.6107055Z yl = self.stage2(xl) 2025-08-14T21:51:28.6107385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6107715Z x = module(x) 2025-08-14T21:51:28.6108021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6108360Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6108686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6109034Z x = self.conv1(x) 2025-08-14T21:51:28.6109144Z 2025-08-14T21:51:28.6109266Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6109652Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6110001Z return mod(*inputs) 2025-08-14T21:51:28.6110320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6110661Z y = self.forward_features(x) 2025-08-14T21:51:28.6111031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6111404Z yl = self.stages(x) 2025-08-14T21:51:28.6111723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:51:28.6112056Z yl = self.stage2(xl) 2025-08-14T21:51:28.6112382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6112721Z x = module(x) 2025-08-14T21:51:28.6113044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6113389Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6113711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6114044Z x = self.act1(x) 2025-08-14T21:51:28.6114159Z 2025-08-14T21:51:28.6114273Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6114663Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6115037Z return mod(*inputs) 2025-08-14T21:51:28.6115353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6115701Z y = self.forward_features(x) 2025-08-14T21:51:28.6116070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6116456Z yl = self.stages(x) 2025-08-14T21:51:28.6116769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:51:28.6117158Z yl = self.stage2(xl) 2025-08-14T21:51:28.6117480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6117810Z x = module(x) 2025-08-14T21:51:28.6118122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6118468Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6118785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6119139Z x = self.conv2(x) 2025-08-14T21:51:28.6119256Z 2025-08-14T21:51:28.6119373Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6119781Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6120132Z return mod(*inputs) 2025-08-14T21:51:28.6120468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6120846Z y = self.forward_features(x) 2025-08-14T21:51:28.6121215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6121603Z yl = self.stages(x) 2025-08-14T21:51:28.6121919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:51:28.6122274Z yl = self.stage2(xl) 2025-08-14T21:51:28.6122600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6123048Z x = module(x) 2025-08-14T21:51:28.6123375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6123728Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6124058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6124419Z x = self.act2(x) 2025-08-14T21:51:28.6124526Z 2025-08-14T21:51:28.6124651Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6125042Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6125398Z return mod(*inputs) 2025-08-14T21:51:28.6125728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6126089Z y = self.forward_features(x) 2025-08-14T21:51:28.6126464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6126850Z yl = self.stages(x) 2025-08-14T21:51:28.6127166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:51:28.6127515Z yl = self.stage2(xl) 2025-08-14T21:51:28.6127881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6128252Z x = module(x) 2025-08-14T21:51:28.6128563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6128918Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6129252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6129607Z x = self.conv1(x) 2025-08-14T21:51:28.6129715Z 2025-08-14T21:51:28.6129829Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6130220Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6130569Z return mod(*inputs) 2025-08-14T21:51:28.6130882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6131243Z y = self.forward_features(x) 2025-08-14T21:51:28.6131643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6132035Z yl = self.stages(x) 2025-08-14T21:51:28.6132340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:51:28.6132679Z yl = self.stage2(xl) 2025-08-14T21:51:28.6133002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6133334Z x = module(x) 2025-08-14T21:51:28.6133640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6133982Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6134296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6134642Z x = self.act1(x) 2025-08-14T21:51:28.6134755Z 2025-08-14T21:51:28.6134888Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6135281Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6135624Z return mod(*inputs) 2025-08-14T21:51:28.6135944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6136293Z y = self.forward_features(x) 2025-08-14T21:51:28.6136652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6137024Z yl = self.stages(x) 2025-08-14T21:51:28.6137337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:51:28.6137677Z yl = self.stage2(xl) 2025-08-14T21:51:28.6137999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6138340Z x = module(x) 2025-08-14T21:51:28.6138652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6138986Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6139312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6139653Z x = self.conv2(x) 2025-08-14T21:51:28.6139761Z 2025-08-14T21:51:28.6139880Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6140261Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6140606Z return mod(*inputs) 2025-08-14T21:51:28.6140922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6141260Z y = self.forward_features(x) 2025-08-14T21:51:28.6141631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6142005Z yl = self.stages(x) 2025-08-14T21:51:28.6142317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:51:28.6142682Z yl = self.stage2(xl) 2025-08-14T21:51:28.6143024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6143381Z x = module(x) 2025-08-14T21:51:28.6143697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6144054Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6144384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6144934Z x = self.act2(x) 2025-08-14T21:51:28.6145044Z 2025-08-14T21:51:28.6145159Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6145558Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6145924Z return mod(*inputs) 2025-08-14T21:51:28.6146251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6146679Z y = self.forward_features(x) 2025-08-14T21:51:28.6147084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6147464Z yl = self.stages(x) 2025-08-14T21:51:28.6147775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:51:28.6148120Z yl = self.stage2(xl) 2025-08-14T21:51:28.6148447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6148789Z x = module(x) 2025-08-14T21:51:28.6149109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6149460Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6149825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6150167Z x = self.conv1(x) 2025-08-14T21:51:28.6150282Z 2025-08-14T21:51:28.6150397Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6150788Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6151129Z return mod(*inputs) 2025-08-14T21:51:28.6151448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6151799Z y = self.forward_features(x) 2025-08-14T21:51:28.6152174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6152541Z yl = self.stages(x) 2025-08-14T21:51:28.6152856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:51:28.6153199Z yl = self.stage2(xl) 2025-08-14T21:51:28.6153520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6153859Z x = module(x) 2025-08-14T21:51:28.6154174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6154514Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6154836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6155183Z x = self.act1(x) 2025-08-14T21:51:28.6155289Z 2025-08-14T21:51:28.6155408Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6155792Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6156142Z return mod(*inputs) 2025-08-14T21:51:28.6156469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6156968Z y = self.forward_features(x) 2025-08-14T21:51:28.6157357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6157773Z yl = self.stages(x) 2025-08-14T21:51:28.6158096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:51:28.6158428Z yl = self.stage2(xl) 2025-08-14T21:51:28.6158756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6159092Z x = module(x) 2025-08-14T21:51:28.6159391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6159733Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6160055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6160401Z x = self.conv2(x) 2025-08-14T21:51:28.6160508Z 2025-08-14T21:51:28.6160622Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6161014Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6161397Z return mod(*inputs) 2025-08-14T21:51:28.6161738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6162100Z y = self.forward_features(x) 2025-08-14T21:51:28.6162472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6162892Z yl = self.stages(x) 2025-08-14T21:51:28.6163210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:51:28.6163561Z yl = self.stage2(xl) 2025-08-14T21:51:28.6163903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6164250Z x = module(x) 2025-08-14T21:51:28.6164476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6164572Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6164797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6164867Z x = self.act2(x) 2025-08-14T21:51:28.6164872Z 2025-08-14T21:51:28.6164990Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6165211Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6165283Z return mod(*inputs) 2025-08-14T21:51:28.6165502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6165587Z y = self.forward_features(x) 2025-08-14T21:51:28.6165816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6165891Z yl = self.stages(x) 2025-08-14T21:51:28.6166088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:51:28.6166159Z yl = self.stage2(xl) 2025-08-14T21:51:28.6166367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6166432Z x = module(x) 2025-08-14T21:51:28.6166626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6166701Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6166902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6166977Z x = self.conv1(x) 2025-08-14T21:51:28.6166980Z 2025-08-14T21:51:28.6167092Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6167299Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6167375Z return mod(*inputs) 2025-08-14T21:51:28.6167585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6167661Z y = self.forward_features(x) 2025-08-14T21:51:28.6167915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6167987Z yl = self.stages(x) 2025-08-14T21:51:28.6168190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:51:28.6168260Z yl = self.stage2(xl) 2025-08-14T21:51:28.6168464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6168537Z x = module(x) 2025-08-14T21:51:28.6168743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6168811Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6169020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6169085Z x = self.act1(x) 2025-08-14T21:51:28.6169088Z 2025-08-14T21:51:28.6169207Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6169437Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6169526Z return mod(*inputs) 2025-08-14T21:51:28.6169736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6169814Z y = self.forward_features(x) 2025-08-14T21:51:28.6170040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6170116Z yl = self.stages(x) 2025-08-14T21:51:28.6170311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:51:28.6170388Z yl = self.stage2(xl) 2025-08-14T21:51:28.6170598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6170664Z x = module(x) 2025-08-14T21:51:28.6170890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6170962Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6171167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6171244Z x = self.conv2(x) 2025-08-14T21:51:28.6171248Z 2025-08-14T21:51:28.6171358Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6171574Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6171643Z return mod(*inputs) 2025-08-14T21:51:28.6171836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6171919Z y = self.forward_features(x) 2025-08-14T21:51:28.6172147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6172217Z yl = self.stages(x) 2025-08-14T21:51:28.6172422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:51:28.6172496Z yl = self.stage2(xl) 2025-08-14T21:51:28.6172698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6172764Z x = module(x) 2025-08-14T21:51:28.6172962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.6173037Z y = f(x[j]) 2025-08-14T21:51:28.6173041Z 2025-08-14T21:51:28.6173150Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6173364Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6173441Z return mod(*inputs) 2025-08-14T21:51:28.6173637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6173723Z y = self.forward_features(x) 2025-08-14T21:51:28.6173973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6174046Z yl = self.stages(x) 2025-08-14T21:51:28.6174252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:51:28.6174321Z yl = self.stage2(xl) 2025-08-14T21:51:28.6174519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6174593Z x = module(x) 2025-08-14T21:51:28.6174792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6174864Z y = y + f(x[j]) 2025-08-14T21:51:28.6174867Z 2025-08-14T21:51:28.6174974Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6175187Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6175266Z return mod(*inputs) 2025-08-14T21:51:28.6175484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6175581Z y = self.forward_features(x) 2025-08-14T21:51:28.6175814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6175883Z yl = self.stages(x) 2025-08-14T21:51:28.6176087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:51:28.6176157Z yl = self.stage2(xl) 2025-08-14T21:51:28.6176358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6176430Z x = module(x) 2025-08-14T21:51:28.6176628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6176693Z y = y + f(x[j]) 2025-08-14T21:51:28.6176697Z 2025-08-14T21:51:28.6176845Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6177056Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6177136Z return mod(*inputs) 2025-08-14T21:51:28.6177335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6177414Z y = self.forward_features(x) 2025-08-14T21:51:28.6177651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6177724Z yl = self.stages(x) 2025-08-14T21:51:28.6177919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:51:28.6178000Z yl = self.stage2(xl) 2025-08-14T21:51:28.6178196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6178268Z x = module(x) 2025-08-14T21:51:28.6178472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:51:28.6178557Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:51:28.6178562Z 2025-08-14T21:51:28.6180039Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6180239Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6180316Z return mod(*inputs) 2025-08-14T21:51:28.6180504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6180578Z y = self.forward_features(x) 2025-08-14T21:51:28.6180802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6180870Z yl = self.stages(x) 2025-08-14T21:51:28.6181057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6181135Z yl = self.stage3(xl) 2025-08-14T21:51:28.6181349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6181423Z x = module(x) 2025-08-14T21:51:28.6181610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6181673Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6181875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6181940Z x = self.conv1(x) 2025-08-14T21:51:28.6181944Z 2025-08-14T21:51:28.6182047Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6182250Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6182314Z return mod(*inputs) 2025-08-14T21:51:28.6182507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6182580Z y = self.forward_features(x) 2025-08-14T21:51:28.6182797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6182913Z yl = self.stages(x) 2025-08-14T21:51:28.6183097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6183163Z yl = self.stage3(xl) 2025-08-14T21:51:28.6183359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6183420Z x = module(x) 2025-08-14T21:51:28.6183614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6183679Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6183867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6183938Z x = self.act1(x) 2025-08-14T21:51:28.6183941Z 2025-08-14T21:51:28.6184059Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6184266Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6184343Z return mod(*inputs) 2025-08-14T21:51:28.6184532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6184613Z y = self.forward_features(x) 2025-08-14T21:51:28.6184824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6184889Z yl = self.stages(x) 2025-08-14T21:51:28.6185080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6185146Z yl = self.stage3(xl) 2025-08-14T21:51:28.6185335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6185404Z x = module(x) 2025-08-14T21:51:28.6185593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6185666Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6185858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6185923Z x = self.conv2(x) 2025-08-14T21:51:28.6185927Z 2025-08-14T21:51:28.6186035Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6186229Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6186294Z return mod(*inputs) 2025-08-14T21:51:28.6186489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6186560Z y = self.forward_features(x) 2025-08-14T21:51:28.6186777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6186840Z yl = self.stages(x) 2025-08-14T21:51:28.6187025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6187116Z yl = self.stage3(xl) 2025-08-14T21:51:28.6187308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6187369Z x = module(x) 2025-08-14T21:51:28.6187566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6187631Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6187833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6187897Z x = self.act2(x) 2025-08-14T21:51:28.6187900Z 2025-08-14T21:51:28.6188003Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6188208Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6188273Z return mod(*inputs) 2025-08-14T21:51:28.6188464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6188568Z y = self.forward_features(x) 2025-08-14T21:51:28.6188799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6188871Z yl = self.stages(x) 2025-08-14T21:51:28.6189059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6189125Z yl = self.stage3(xl) 2025-08-14T21:51:28.6189318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6189379Z x = module(x) 2025-08-14T21:51:28.6189566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6189638Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6189830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6189920Z x = self.conv1(x) 2025-08-14T21:51:28.6189925Z 2025-08-14T21:51:28.6190032Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6190239Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6190311Z return mod(*inputs) 2025-08-14T21:51:28.6190501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6190573Z y = self.forward_features(x) 2025-08-14T21:51:28.6190792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6190857Z yl = self.stages(x) 2025-08-14T21:51:28.6191049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6191117Z yl = self.stage3(xl) 2025-08-14T21:51:28.6191307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6191375Z x = module(x) 2025-08-14T21:51:28.6191566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6191631Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6191833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6191896Z x = self.act1(x) 2025-08-14T21:51:28.6191899Z 2025-08-14T21:51:28.6192008Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6192206Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6192272Z return mod(*inputs) 2025-08-14T21:51:28.6192468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6192539Z y = self.forward_features(x) 2025-08-14T21:51:28.6192753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6192827Z yl = self.stages(x) 2025-08-14T21:51:28.6193029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6193105Z yl = self.stage3(xl) 2025-08-14T21:51:28.6193294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6193355Z x = module(x) 2025-08-14T21:51:28.6193554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6193618Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6193811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6193883Z x = self.conv2(x) 2025-08-14T21:51:28.6193886Z 2025-08-14T21:51:28.6194000Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6194203Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6194287Z return mod(*inputs) 2025-08-14T21:51:28.6194472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6194569Z y = self.forward_features(x) 2025-08-14T21:51:28.6194784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6194849Z yl = self.stages(x) 2025-08-14T21:51:28.6195040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6195107Z yl = self.stage3(xl) 2025-08-14T21:51:28.6195303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6195363Z x = module(x) 2025-08-14T21:51:28.6195550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6195640Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6195833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6195897Z x = self.act2(x) 2025-08-14T21:51:28.6195901Z 2025-08-14T21:51:28.6196011Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6196208Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6196282Z return mod(*inputs) 2025-08-14T21:51:28.6196469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6196539Z y = self.forward_features(x) 2025-08-14T21:51:28.6196759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6196823Z yl = self.stages(x) 2025-08-14T21:51:28.6197007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6197083Z yl = self.stage3(xl) 2025-08-14T21:51:28.6197271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6197339Z x = module(x) 2025-08-14T21:51:28.6197578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6197644Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6197853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6197920Z x = self.conv1(x) 2025-08-14T21:51:28.6197923Z 2025-08-14T21:51:28.6198030Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6198245Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6198313Z return mod(*inputs) 2025-08-14T21:51:28.6198526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6198603Z y = self.forward_features(x) 2025-08-14T21:51:28.6198843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6198923Z yl = self.stages(x) 2025-08-14T21:51:28.6199127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6199197Z yl = self.stage3(xl) 2025-08-14T21:51:28.6199411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6199476Z x = module(x) 2025-08-14T21:51:28.6199692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6199761Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6199965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6200040Z x = self.act1(x) 2025-08-14T21:51:28.6200043Z 2025-08-14T21:51:28.6200152Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6200383Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6200490Z return mod(*inputs) 2025-08-14T21:51:28.6200697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6200779Z y = self.forward_features(x) 2025-08-14T21:51:28.6201004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6201071Z yl = self.stages(x) 2025-08-14T21:51:28.6201274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6201344Z yl = self.stage3(xl) 2025-08-14T21:51:28.6201547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6201619Z x = module(x) 2025-08-14T21:51:28.6201845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6201925Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6202130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6202195Z x = self.conv2(x) 2025-08-14T21:51:28.6202198Z 2025-08-14T21:51:28.6202313Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6202519Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6202586Z return mod(*inputs) 2025-08-14T21:51:28.6202896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6202981Z y = self.forward_features(x) 2025-08-14T21:51:28.6203234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6203306Z yl = self.stages(x) 2025-08-14T21:51:28.6203518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6203603Z yl = self.stage3(xl) 2025-08-14T21:51:28.6203816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6203883Z x = module(x) 2025-08-14T21:51:28.6204104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6204174Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6204391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6204468Z x = self.act2(x) 2025-08-14T21:51:28.6204472Z 2025-08-14T21:51:28.6204574Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6204777Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6204842Z return mod(*inputs) 2025-08-14T21:51:28.6205052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6205137Z y = self.forward_features(x) 2025-08-14T21:51:28.6205352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6205425Z yl = self.stages(x) 2025-08-14T21:51:28.6205612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6205678Z yl = self.stage3(xl) 2025-08-14T21:51:28.6205873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6205934Z x = module(x) 2025-08-14T21:51:28.6206124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6206196Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6206389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6206480Z x = self.conv1(x) 2025-08-14T21:51:28.6206483Z 2025-08-14T21:51:28.6206587Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6206804Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6206877Z return mod(*inputs) 2025-08-14T21:51:28.6207063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6207134Z y = self.forward_features(x) 2025-08-14T21:51:28.6207353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6207418Z yl = self.stages(x) 2025-08-14T21:51:28.6207610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6207677Z yl = self.stage3(xl) 2025-08-14T21:51:28.6207879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6207952Z x = module(x) 2025-08-14T21:51:28.6208142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6208208Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6208410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6208474Z x = self.act1(x) 2025-08-14T21:51:28.6208477Z 2025-08-14T21:51:28.6208585Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6208783Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6208847Z return mod(*inputs) 2025-08-14T21:51:28.6209052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6209124Z y = self.forward_features(x) 2025-08-14T21:51:28.6209338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6209416Z yl = self.stages(x) 2025-08-14T21:51:28.6209604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6209677Z yl = self.stage3(xl) 2025-08-14T21:51:28.6209864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6209924Z x = module(x) 2025-08-14T21:51:28.6210119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6210183Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6210379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6210457Z x = self.conv2(x) 2025-08-14T21:51:28.6210461Z 2025-08-14T21:51:28.6210569Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6210786Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6210913Z return mod(*inputs) 2025-08-14T21:51:28.6211111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6211196Z y = self.forward_features(x) 2025-08-14T21:51:28.6211421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6211491Z yl = self.stages(x) 2025-08-14T21:51:28.6211697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6211764Z yl = self.stage3(xl) 2025-08-14T21:51:28.6211959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6212020Z x = module(x) 2025-08-14T21:51:28.6212203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6212276Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6212490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6212573Z x = self.act2(x) 2025-08-14T21:51:28.6212577Z 2025-08-14T21:51:28.6212688Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6212881Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6212954Z return mod(*inputs) 2025-08-14T21:51:28.6213140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6213212Z y = self.forward_features(x) 2025-08-14T21:51:28.6213434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6213499Z yl = self.stages(x) 2025-08-14T21:51:28.6213699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6213778Z yl = self.stage3(xl) 2025-08-14T21:51:28.6213966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6214036Z x = module(x) 2025-08-14T21:51:28.6214231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6214297Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6214506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6214571Z x = self.conv1(x) 2025-08-14T21:51:28.6214575Z 2025-08-14T21:51:28.6214683Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6214895Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6214962Z return mod(*inputs) 2025-08-14T21:51:28.6215171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6215246Z y = self.forward_features(x) 2025-08-14T21:51:28.6215480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6215555Z yl = self.stages(x) 2025-08-14T21:51:28.6215738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6215806Z yl = self.stage3(xl) 2025-08-14T21:51:28.6215997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6216056Z x = module(x) 2025-08-14T21:51:28.6216247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6216311Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6216501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6216568Z x = self.act1(x) 2025-08-14T21:51:28.6216574Z 2025-08-14T21:51:28.6216677Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6216897Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6216972Z return mod(*inputs) 2025-08-14T21:51:28.6217158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6217236Z y = self.forward_features(x) 2025-08-14T21:51:28.6217449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6217514Z yl = self.stages(x) 2025-08-14T21:51:28.6217705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6217771Z yl = self.stage3(xl) 2025-08-14T21:51:28.6217957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6218024Z x = module(x) 2025-08-14T21:51:28.6218212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6218320Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6218512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6218575Z x = self.conv2(x) 2025-08-14T21:51:28.6218578Z 2025-08-14T21:51:28.6218689Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6218885Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6218950Z return mod(*inputs) 2025-08-14T21:51:28.6219149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6219221Z y = self.forward_features(x) 2025-08-14T21:51:28.6219441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6219521Z yl = self.stages(x) 2025-08-14T21:51:28.6219713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6219791Z yl = self.stage3(xl) 2025-08-14T21:51:28.6219981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6220042Z x = module(x) 2025-08-14T21:51:28.6220236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6220299Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6220500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6220561Z x = self.act2(x) 2025-08-14T21:51:28.6220566Z 2025-08-14T21:51:28.6220667Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6220873Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6220939Z return mod(*inputs) 2025-08-14T21:51:28.6221129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6221212Z y = self.forward_features(x) 2025-08-14T21:51:28.6221426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6221498Z yl = self.stages(x) 2025-08-14T21:51:28.6221683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6221747Z yl = self.stage3(xl) 2025-08-14T21:51:28.6221940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6222000Z x = module(x) 2025-08-14T21:51:28.6222186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6222258Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6222452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6222550Z x = self.conv1(x) 2025-08-14T21:51:28.6222555Z 2025-08-14T21:51:28.6222659Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6222853Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6222927Z return mod(*inputs) 2025-08-14T21:51:28.6223112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6223182Z y = self.forward_features(x) 2025-08-14T21:51:28.6223403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6223468Z yl = self.stages(x) 2025-08-14T21:51:28.6223658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6223725Z yl = self.stage3(xl) 2025-08-14T21:51:28.6223913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6224017Z x = module(x) 2025-08-14T21:51:28.6224221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6224284Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6224484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6224546Z x = self.act1(x) 2025-08-14T21:51:28.6224549Z 2025-08-14T21:51:28.6224657Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6224854Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6224918Z return mod(*inputs) 2025-08-14T21:51:28.6225112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6225183Z y = self.forward_features(x) 2025-08-14T21:51:28.6225412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6225489Z yl = self.stages(x) 2025-08-14T21:51:28.6225676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6225748Z yl = self.stage3(xl) 2025-08-14T21:51:28.6225940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6226000Z x = module(x) 2025-08-14T21:51:28.6226191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6226254Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6226443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6226514Z x = self.conv2(x) 2025-08-14T21:51:28.6226517Z 2025-08-14T21:51:28.6226617Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6226822Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6226890Z return mod(*inputs) 2025-08-14T21:51:28.6227076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6227152Z y = self.forward_features(x) 2025-08-14T21:51:28.6227375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6227437Z yl = self.stages(x) 2025-08-14T21:51:28.6227621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6227684Z yl = self.stage3(xl) 2025-08-14T21:51:28.6227872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6227929Z x = module(x) 2025-08-14T21:51:28.6228114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6228188Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6228393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6228459Z x = self.act2(x) 2025-08-14T21:51:28.6228469Z 2025-08-14T21:51:28.6228569Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6228763Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6228831Z return mod(*inputs) 2025-08-14T21:51:28.6229015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6229086Z y = self.forward_features(x) 2025-08-14T21:51:28.6229302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6229365Z yl = self.stages(x) 2025-08-14T21:51:28.6229549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6229645Z yl = self.stage3(xl) 2025-08-14T21:51:28.6229831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6229921Z x = module(x) 2025-08-14T21:51:28.6230109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6230172Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6230371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6230435Z x = self.conv1(x) 2025-08-14T21:51:28.6230438Z 2025-08-14T21:51:28.6230539Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6230742Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6230807Z return mod(*inputs) 2025-08-14T21:51:28.6231022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6231094Z y = self.forward_features(x) 2025-08-14T21:51:28.6231306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6231379Z yl = self.stages(x) 2025-08-14T21:51:28.6231558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6231623Z yl = self.stage3(xl) 2025-08-14T21:51:28.6231814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6231871Z x = module(x) 2025-08-14T21:51:28.6232058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6232120Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6232305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6232379Z x = self.act1(x) 2025-08-14T21:51:28.6232382Z 2025-08-14T21:51:28.6232484Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6232684Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6232747Z return mod(*inputs) 2025-08-14T21:51:28.6232929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6233007Z y = self.forward_features(x) 2025-08-14T21:51:28.6233215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6233279Z yl = self.stages(x) 2025-08-14T21:51:28.6233464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6233528Z yl = self.stage3(xl) 2025-08-14T21:51:28.6233708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6233776Z x = module(x) 2025-08-14T21:51:28.6233978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6234051Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6234238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6234300Z x = self.conv2(x) 2025-08-14T21:51:28.6234303Z 2025-08-14T21:51:28.6234410Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6234601Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6234673Z return mod(*inputs) 2025-08-14T21:51:28.6234855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6234923Z y = self.forward_features(x) 2025-08-14T21:51:28.6235138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6235201Z yl = self.stages(x) 2025-08-14T21:51:28.6235400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6235498Z yl = self.stage3(xl) 2025-08-14T21:51:28.6235684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6235743Z x = module(x) 2025-08-14T21:51:28.6235936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6235998Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6236195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6236254Z x = self.act2(x) 2025-08-14T21:51:28.6236258Z 2025-08-14T21:51:28.6236357Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6236578Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6236643Z return mod(*inputs) 2025-08-14T21:51:28.6236835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6236906Z y = self.forward_features(x) 2025-08-14T21:51:28.6237116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6237187Z yl = self.stages(x) 2025-08-14T21:51:28.6237366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6237433Z yl = self.stage3(xl) 2025-08-14T21:51:28.6237622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6237681Z x = module(x) 2025-08-14T21:51:28.6237861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6237929Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6238122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6238194Z x = self.conv1(x) 2025-08-14T21:51:28.6238199Z 2025-08-14T21:51:28.6238300Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6238490Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6238561Z return mod(*inputs) 2025-08-14T21:51:28.6238743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6238820Z y = self.forward_features(x) 2025-08-14T21:51:28.6239025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6239087Z yl = self.stages(x) 2025-08-14T21:51:28.6239271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6239335Z yl = self.stage3(xl) 2025-08-14T21:51:28.6239538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6239608Z x = module(x) 2025-08-14T21:51:28.6239789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6239850Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6240047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6240108Z x = self.act1(x) 2025-08-14T21:51:28.6240111Z 2025-08-14T21:51:28.6240217Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6240411Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6240473Z return mod(*inputs) 2025-08-14T21:51:28.6240661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6240733Z y = self.forward_features(x) 2025-08-14T21:51:28.6240948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6241047Z yl = self.stages(x) 2025-08-14T21:51:28.6241227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6241299Z yl = self.stage3(xl) 2025-08-14T21:51:28.6241478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6241536Z x = module(x) 2025-08-14T21:51:28.6241723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6241785Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6241971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6242041Z x = self.conv2(x) 2025-08-14T21:51:28.6242044Z 2025-08-14T21:51:28.6242160Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6242362Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6242428Z return mod(*inputs) 2025-08-14T21:51:28.6242621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6242707Z y = self.forward_features(x) 2025-08-14T21:51:28.6243047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6243132Z yl = self.stages(x) 2025-08-14T21:51:28.6243336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6243410Z yl = self.stage3(xl) 2025-08-14T21:51:28.6243631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6243700Z x = module(x) 2025-08-14T21:51:28.6243918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6244006Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6244201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6244266Z x = self.act2(x) 2025-08-14T21:51:28.6244278Z 2025-08-14T21:51:28.6244384Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6244719Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6244808Z return mod(*inputs) 2025-08-14T21:51:28.6245027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6245107Z y = self.forward_features(x) 2025-08-14T21:51:28.6245348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6245420Z yl = self.stages(x) 2025-08-14T21:51:28.6245631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6245779Z yl = self.stage3(xl) 2025-08-14T21:51:28.6245986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6246059Z x = module(x) 2025-08-14T21:51:28.6246274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6246341Z y = y + f(x[j]) 2025-08-14T21:51:28.6246345Z 2025-08-14T21:51:28.6246463Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6246679Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6246757Z return mod(*inputs) 2025-08-14T21:51:28.6246980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6247059Z y = self.forward_features(x) 2025-08-14T21:51:28.6247307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6247410Z yl = self.stages(x) 2025-08-14T21:51:28.6247638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6247719Z yl = self.stage3(xl) 2025-08-14T21:51:28.6247933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6248009Z x = module(x) 2025-08-14T21:51:28.6248224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6248290Z y = y + f(x[j]) 2025-08-14T21:51:28.6248294Z 2025-08-14T21:51:28.6248413Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6248628Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6248698Z return mod(*inputs) 2025-08-14T21:51:28.6248943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6249026Z y = self.forward_features(x) 2025-08-14T21:51:28.6249271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6249341Z yl = self.stages(x) 2025-08-14T21:51:28.6249544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 753, in stages 2025-08-14T21:51:28.6249752Z xl = [t(yl[-1]) if not isinstance(t, nn.Identity) else yl[i] for i, t in enumerate(self.transition2)] 2025-08-14T21:51:28.6249979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 753, in 2025-08-14T21:51:28.6250162Z xl = [t(yl[-1]) if not isinstance(t, nn.Identity) else yl[i] for i, t in enumerate(self.transition2)] 2025-08-14T21:51:28.6250173Z 2025-08-14T21:51:28.6250285Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6250506Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6250591Z return mod(*inputs) 2025-08-14T21:51:28.6250784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6250852Z y = self.forward_features(x) 2025-08-14T21:51:28.6251063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6251123Z yl = self.stages(x) 2025-08-14T21:51:28.6251307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 753, in stages 2025-08-14T21:51:28.6251464Z xl = [t(yl[-1]) if not isinstance(t, nn.Identity) else yl[i] for i, t in enumerate(self.transition2)] 2025-08-14T21:51:28.6251653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 753, in 2025-08-14T21:51:28.6251821Z xl = [t(yl[-1]) if not isinstance(t, nn.Identity) else yl[i] for i, t in enumerate(self.transition2)] 2025-08-14T21:51:28.6251826Z 2025-08-14T21:51:28.6251939Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6252131Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6252202Z return mod(*inputs) 2025-08-14T21:51:28.6252385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6252462Z y = self.forward_features(x) 2025-08-14T21:51:28.6252663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6252726Z yl = self.stages(x) 2025-08-14T21:51:28.6252908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6252972Z yl = self.stage3(xl) 2025-08-14T21:51:28.6253155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6253242Z x = module(x) 2025-08-14T21:51:28.6253421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6253510Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6253704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6253767Z x = self.conv1(x) 2025-08-14T21:51:28.6253770Z 2025-08-14T21:51:28.6253879Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6254071Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6254134Z return mod(*inputs) 2025-08-14T21:51:28.6254324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6254392Z y = self.forward_features(x) 2025-08-14T21:51:28.6254640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6254707Z yl = self.stages(x) 2025-08-14T21:51:28.6254889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6254964Z yl = self.stage3(xl) 2025-08-14T21:51:28.6255146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6255206Z x = module(x) 2025-08-14T21:51:28.6255398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6255460Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6255656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6255718Z x = self.act1(x) 2025-08-14T21:51:28.6255722Z 2025-08-14T21:51:28.6255821Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6256023Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6256090Z return mod(*inputs) 2025-08-14T21:51:28.6256273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6256351Z y = self.forward_features(x) 2025-08-14T21:51:28.6256565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6256636Z yl = self.stages(x) 2025-08-14T21:51:28.6256818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6256882Z yl = self.stage3(xl) 2025-08-14T21:51:28.6257074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6257133Z x = module(x) 2025-08-14T21:51:28.6257315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6257388Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6257597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6257673Z x = self.conv2(x) 2025-08-14T21:51:28.6257676Z 2025-08-14T21:51:28.6257777Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6257972Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6258047Z return mod(*inputs) 2025-08-14T21:51:28.6258234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6258302Z y = self.forward_features(x) 2025-08-14T21:51:28.6258520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6258582Z yl = self.stages(x) 2025-08-14T21:51:28.6258768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6258835Z yl = self.stage3(xl) 2025-08-14T21:51:28.6259039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6259122Z x = module(x) 2025-08-14T21:51:28.6259313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6259375Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6259567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6259626Z x = self.act2(x) 2025-08-14T21:51:28.6259629Z 2025-08-14T21:51:28.6259734Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6259925Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6259989Z return mod(*inputs) 2025-08-14T21:51:28.6260173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6260259Z y = self.forward_features(x) 2025-08-14T21:51:28.6260478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6260543Z yl = self.stages(x) 2025-08-14T21:51:28.6260722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6260793Z yl = self.stage3(xl) 2025-08-14T21:51:28.6260971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6261031Z x = module(x) 2025-08-14T21:51:28.6261220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6261282Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6261467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6261536Z x = self.conv1(x) 2025-08-14T21:51:28.6261539Z 2025-08-14T21:51:28.6261642Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6261843Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6261909Z return mod(*inputs) 2025-08-14T21:51:28.6262088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6262166Z y = self.forward_features(x) 2025-08-14T21:51:28.6262373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6262444Z yl = self.stages(x) 2025-08-14T21:51:28.6262621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6262686Z yl = self.stage3(xl) 2025-08-14T21:51:28.6262874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6262931Z x = module(x) 2025-08-14T21:51:28.6263111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6263203Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6263393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6263454Z x = self.act1(x) 2025-08-14T21:51:28.6263464Z 2025-08-14T21:51:28.6263562Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6263749Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6263818Z return mod(*inputs) 2025-08-14T21:51:28.6264001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6264070Z y = self.forward_features(x) 2025-08-14T21:51:28.6264288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6264350Z yl = self.stages(x) 2025-08-14T21:51:28.6264536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6264632Z yl = self.stage3(xl) 2025-08-14T21:51:28.6264813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6264877Z x = module(x) 2025-08-14T21:51:28.6265055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6265115Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6292542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6292793Z x = self.conv2(x) 2025-08-14T21:51:28.6292803Z 2025-08-14T21:51:28.6292951Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6293195Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6293269Z return mod(*inputs) 2025-08-14T21:51:28.6293633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6293735Z y = self.forward_features(x) 2025-08-14T21:51:28.6293971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6294053Z yl = self.stages(x) 2025-08-14T21:51:28.6294257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6294327Z yl = self.stage3(xl) 2025-08-14T21:51:28.6294527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6294591Z x = module(x) 2025-08-14T21:51:28.6294776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6294853Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6295047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6295113Z x = self.act2(x) 2025-08-14T21:51:28.6295119Z 2025-08-14T21:51:28.6295242Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6295450Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6295530Z return mod(*inputs) 2025-08-14T21:51:28.6295722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6295799Z y = self.forward_features(x) 2025-08-14T21:51:28.6296036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6296108Z yl = self.stages(x) 2025-08-14T21:51:28.6296288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6296362Z yl = self.stage3(xl) 2025-08-14T21:51:28.6296546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6296616Z x = module(x) 2025-08-14T21:51:28.6296833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6296899Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6297095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6297158Z x = self.conv1(x) 2025-08-14T21:51:28.6297162Z 2025-08-14T21:51:28.6297270Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6297472Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6297538Z return mod(*inputs) 2025-08-14T21:51:28.6297735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6297805Z y = self.forward_features(x) 2025-08-14T21:51:28.6298013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6298116Z yl = self.stages(x) 2025-08-14T21:51:28.6298328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6298395Z yl = self.stage3(xl) 2025-08-14T21:51:28.6298590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6298651Z x = module(x) 2025-08-14T21:51:28.6298841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6298905Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6299095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6299164Z x = self.act1(x) 2025-08-14T21:51:28.6299168Z 2025-08-14T21:51:28.6299273Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6299483Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6299567Z return mod(*inputs) 2025-08-14T21:51:28.6299751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6299831Z y = self.forward_features(x) 2025-08-14T21:51:28.6300041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6300107Z yl = self.stages(x) 2025-08-14T21:51:28.6300295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6300362Z yl = self.stage3(xl) 2025-08-14T21:51:28.6300544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6300614Z x = module(x) 2025-08-14T21:51:28.6300796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6300868Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6301060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6301125Z x = self.conv2(x) 2025-08-14T21:51:28.6301129Z 2025-08-14T21:51:28.6301244Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6301435Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6301500Z return mod(*inputs) 2025-08-14T21:51:28.6301690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6301760Z y = self.forward_features(x) 2025-08-14T21:51:28.6301982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6302046Z yl = self.stages(x) 2025-08-14T21:51:28.6302228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6302302Z yl = self.stage3(xl) 2025-08-14T21:51:28.6302505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6302569Z x = module(x) 2025-08-14T21:51:28.6302761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6302823Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6303024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6303087Z x = self.act2(x) 2025-08-14T21:51:28.6303090Z 2025-08-14T21:51:28.6303194Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6303395Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6303459Z return mod(*inputs) 2025-08-14T21:51:28.6303642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6303742Z y = self.forward_features(x) 2025-08-14T21:51:28.6303957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6304050Z yl = self.stages(x) 2025-08-14T21:51:28.6304233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6304300Z yl = self.stage3(xl) 2025-08-14T21:51:28.6304492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6304551Z x = module(x) 2025-08-14T21:51:28.6304738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6304811Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6305000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6305070Z x = self.conv1(x) 2025-08-14T21:51:28.6305089Z 2025-08-14T21:51:28.6305195Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6305388Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6305463Z return mod(*inputs) 2025-08-14T21:51:28.6305650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6305720Z y = self.forward_features(x) 2025-08-14T21:51:28.6305939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6306002Z yl = self.stages(x) 2025-08-14T21:51:28.6306190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6306256Z yl = self.stage3(xl) 2025-08-14T21:51:28.6306437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6306507Z x = module(x) 2025-08-14T21:51:28.6306690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6306755Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6306947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6307008Z x = self.act1(x) 2025-08-14T21:51:28.6307012Z 2025-08-14T21:51:28.6307121Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6307312Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6307379Z return mod(*inputs) 2025-08-14T21:51:28.6307567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6307638Z y = self.forward_features(x) 2025-08-14T21:51:28.6307846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6307919Z yl = self.stages(x) 2025-08-14T21:51:28.6308868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6308953Z yl = self.stage3(xl) 2025-08-14T21:51:28.6309148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6309208Z x = module(x) 2025-08-14T21:51:28.6309392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6309464Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6309655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6309716Z x = self.conv2(x) 2025-08-14T21:51:28.6309727Z 2025-08-14T21:51:28.6309830Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6310030Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6310105Z return mod(*inputs) 2025-08-14T21:51:28.6310309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6310402Z y = self.forward_features(x) 2025-08-14T21:51:28.6310623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6310687Z yl = self.stages(x) 2025-08-14T21:51:28.6310877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6310943Z yl = self.stage3(xl) 2025-08-14T21:51:28.6311126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6311194Z x = module(x) 2025-08-14T21:51:28.6311379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.6311439Z y = f(x[j]) 2025-08-14T21:51:28.6311443Z 2025-08-14T21:51:28.6311571Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6311767Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6311838Z return mod(*inputs) 2025-08-14T21:51:28.6312020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6312090Z y = self.forward_features(x) 2025-08-14T21:51:28.6312305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6312368Z yl = self.stages(x) 2025-08-14T21:51:28.6312548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6312620Z yl = self.stage3(xl) 2025-08-14T21:51:28.6312802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6312861Z x = module(x) 2025-08-14T21:51:28.6313053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.6313115Z y = f(x[j]) 2025-08-14T21:51:28.6313121Z 2025-08-14T21:51:28.6313230Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6313421Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6313484Z return mod(*inputs) 2025-08-14T21:51:28.6313673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6313741Z y = self.forward_features(x) 2025-08-14T21:51:28.6313959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6314021Z yl = self.stages(x) 2025-08-14T21:51:28.6314200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6314271Z yl = self.stage3(xl) 2025-08-14T21:51:28.6314456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6314537Z x = module(x) 2025-08-14T21:51:28.6314732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.6314793Z y = f(x[j]) 2025-08-14T21:51:28.6314797Z 2025-08-14T21:51:28.6314903Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6315096Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6315159Z return mod(*inputs) 2025-08-14T21:51:28.6315350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6315418Z y = self.forward_features(x) 2025-08-14T21:51:28.6315627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6315700Z yl = self.stages(x) 2025-08-14T21:51:28.6315884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6316006Z yl = self.stage3(xl) 2025-08-14T21:51:28.6316190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6316261Z x = module(x) 2025-08-14T21:51:28.6316458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6316521Z y = y + f(x[j]) 2025-08-14T21:51:28.6316524Z 2025-08-14T21:51:28.6316626Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6316830Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6316897Z return mod(*inputs) 2025-08-14T21:51:28.6317093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6317166Z y = self.forward_features(x) 2025-08-14T21:51:28.6317405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6317483Z yl = self.stages(x) 2025-08-14T21:51:28.6317710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6317777Z yl = self.stage3(xl) 2025-08-14T21:51:28.6317973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6318033Z x = module(x) 2025-08-14T21:51:28.6318231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6318293Z y = y + f(x[j]) 2025-08-14T21:51:28.6318297Z 2025-08-14T21:51:28.6318400Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6318604Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6318669Z return mod(*inputs) 2025-08-14T21:51:28.6318861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6318944Z y = self.forward_features(x) 2025-08-14T21:51:28.6319160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6319232Z yl = self.stages(x) 2025-08-14T21:51:28.6319418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6319482Z yl = self.stage3(xl) 2025-08-14T21:51:28.6319678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6319737Z x = module(x) 2025-08-14T21:51:28.6319924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6319993Z y = y + f(x[j]) 2025-08-14T21:51:28.6319996Z 2025-08-14T21:51:28.6320100Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6320322Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6320391Z return mod(*inputs) 2025-08-14T21:51:28.6320583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6320661Z y = self.forward_features(x) 2025-08-14T21:51:28.6320879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6320943Z yl = self.stages(x) 2025-08-14T21:51:28.6321137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6321202Z yl = self.stage3(xl) 2025-08-14T21:51:28.6321400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6321462Z x = module(x) 2025-08-14T21:51:28.6321654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:51:28.6321761Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:51:28.6321782Z 2025-08-14T21:51:28.6321884Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6322081Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6322155Z return mod(*inputs) 2025-08-14T21:51:28.6322344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6322422Z y = self.forward_features(x) 2025-08-14T21:51:28.6322645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6322713Z yl = self.stages(x) 2025-08-14T21:51:28.6323029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6323105Z yl = self.stage3(xl) 2025-08-14T21:51:28.6323339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6323420Z x = module(x) 2025-08-14T21:51:28.6323631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6323707Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6323927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6323995Z x = self.conv1(x) 2025-08-14T21:51:28.6323999Z 2025-08-14T21:51:28.6324120Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6324326Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6324395Z return mod(*inputs) 2025-08-14T21:51:28.6324614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6324689Z y = self.forward_features(x) 2025-08-14T21:51:28.6324929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6324999Z yl = self.stages(x) 2025-08-14T21:51:28.6325191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6325272Z yl = self.stage3(xl) 2025-08-14T21:51:28.6325478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6325542Z x = module(x) 2025-08-14T21:51:28.6325760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6325826Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6326039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6326104Z x = self.act1(x) 2025-08-14T21:51:28.6326107Z 2025-08-14T21:51:28.6326217Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6326456Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6326537Z return mod(*inputs) 2025-08-14T21:51:28.6326730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6326807Z y = self.forward_features(x) 2025-08-14T21:51:28.6327024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6327087Z yl = self.stages(x) 2025-08-14T21:51:28.6327281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6327348Z yl = self.stage3(xl) 2025-08-14T21:51:28.6327536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6327604Z x = module(x) 2025-08-14T21:51:28.6327795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6327885Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6328080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6328164Z x = self.conv2(x) 2025-08-14T21:51:28.6328169Z 2025-08-14T21:51:28.6328280Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6328476Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6328541Z return mod(*inputs) 2025-08-14T21:51:28.6328735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6328806Z y = self.forward_features(x) 2025-08-14T21:51:28.6329029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6329095Z yl = self.stages(x) 2025-08-14T21:51:28.6329333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6329413Z yl = self.stage3(xl) 2025-08-14T21:51:28.6329603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6329665Z x = module(x) 2025-08-14T21:51:28.6329857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6329920Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6330120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6330182Z x = self.act2(x) 2025-08-14T21:51:28.6330186Z 2025-08-14T21:51:28.6330288Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6330495Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6330560Z return mod(*inputs) 2025-08-14T21:51:28.6330748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6330830Z y = self.forward_features(x) 2025-08-14T21:51:28.6331045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6331118Z yl = self.stages(x) 2025-08-14T21:51:28.6331302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6331369Z yl = self.stage3(xl) 2025-08-14T21:51:28.6331563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6331624Z x = module(x) 2025-08-14T21:51:28.6331813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6331886Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6332078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6332150Z x = self.conv1(x) 2025-08-14T21:51:28.6332155Z 2025-08-14T21:51:28.6332273Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6332474Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6332547Z return mod(*inputs) 2025-08-14T21:51:28.6332738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6332807Z y = self.forward_features(x) 2025-08-14T21:51:28.6333030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6333094Z yl = self.stages(x) 2025-08-14T21:51:28.6333286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6333352Z yl = self.stage3(xl) 2025-08-14T21:51:28.6333536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6333606Z x = module(x) 2025-08-14T21:51:28.6333817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6333905Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6334108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6334170Z x = self.act1(x) 2025-08-14T21:51:28.6334174Z 2025-08-14T21:51:28.6334285Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6334488Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6334553Z return mod(*inputs) 2025-08-14T21:51:28.6334752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6334823Z y = self.forward_features(x) 2025-08-14T21:51:28.6335066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6335133Z yl = self.stages(x) 2025-08-14T21:51:28.6335326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6335403Z yl = self.stage3(xl) 2025-08-14T21:51:28.6335594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6335654Z x = module(x) 2025-08-14T21:51:28.6335853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6335916Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6336108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6336182Z x = self.conv2(x) 2025-08-14T21:51:28.6336186Z 2025-08-14T21:51:28.6336291Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6336498Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6336564Z return mod(*inputs) 2025-08-14T21:51:28.6336757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6336837Z y = self.forward_features(x) 2025-08-14T21:51:28.6337055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6337129Z yl = self.stages(x) 2025-08-14T21:51:28.6337317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6337383Z yl = self.stage3(xl) 2025-08-14T21:51:28.6337583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6337644Z x = module(x) 2025-08-14T21:51:28.6337829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6337901Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6338124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6338190Z x = self.act2(x) 2025-08-14T21:51:28.6338200Z 2025-08-14T21:51:28.6338305Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6338505Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6338580Z return mod(*inputs) 2025-08-14T21:51:28.6338766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6338838Z y = self.forward_features(x) 2025-08-14T21:51:28.6339062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6339127Z yl = self.stages(x) 2025-08-14T21:51:28.6339322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6339389Z yl = self.stage3(xl) 2025-08-14T21:51:28.6339576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6339676Z x = module(x) 2025-08-14T21:51:28.6339864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6339927Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6340128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6340192Z x = self.conv1(x) 2025-08-14T21:51:28.6340195Z 2025-08-14T21:51:28.6340301Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6340499Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6340566Z return mod(*inputs) 2025-08-14T21:51:28.6340760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6340847Z y = self.forward_features(x) 2025-08-14T21:51:28.6341066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6341144Z yl = self.stages(x) 2025-08-14T21:51:28.6341328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6341403Z yl = self.stage3(xl) 2025-08-14T21:51:28.6341588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6341648Z x = module(x) 2025-08-14T21:51:28.6341839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6341902Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6342095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6342166Z x = self.act1(x) 2025-08-14T21:51:28.6342170Z 2025-08-14T21:51:28.6342272Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6342480Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6342546Z return mod(*inputs) 2025-08-14T21:51:28.6342733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6342813Z y = self.forward_features(x) 2025-08-14T21:51:28.6343027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6343091Z yl = self.stages(x) 2025-08-14T21:51:28.6343283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6343350Z yl = self.stage3(xl) 2025-08-14T21:51:28.6343543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6343602Z x = module(x) 2025-08-14T21:51:28.6343787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6343878Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6344073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6344137Z x = self.conv2(x) 2025-08-14T21:51:28.6344140Z 2025-08-14T21:51:28.6344249Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6344444Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6344517Z return mod(*inputs) 2025-08-14T21:51:28.6344902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6344978Z y = self.forward_features(x) 2025-08-14T21:51:28.6345199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6345266Z yl = self.stages(x) 2025-08-14T21:51:28.6345455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6345620Z yl = self.stage3(xl) 2025-08-14T21:51:28.6345843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6345911Z x = module(x) 2025-08-14T21:51:28.6346103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6346166Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6346370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6346434Z x = self.act2(x) 2025-08-14T21:51:28.6346437Z 2025-08-14T21:51:28.6346540Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6346747Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6346813Z return mod(*inputs) 2025-08-14T21:51:28.6347033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6347109Z y = self.forward_features(x) 2025-08-14T21:51:28.6347330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6347406Z yl = self.stages(x) 2025-08-14T21:51:28.6347595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6347660Z yl = self.stage3(xl) 2025-08-14T21:51:28.6347860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6347920Z x = module(x) 2025-08-14T21:51:28.6348117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6348182Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6348381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6348453Z x = self.conv1(x) 2025-08-14T21:51:28.6348458Z 2025-08-14T21:51:28.6348563Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6348763Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6348838Z return mod(*inputs) 2025-08-14T21:51:28.6349029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6349106Z y = self.forward_features(x) 2025-08-14T21:51:28.6349334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6349401Z yl = self.stages(x) 2025-08-14T21:51:28.6349596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6349663Z yl = self.stage3(xl) 2025-08-14T21:51:28.6349855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6349924Z x = module(x) 2025-08-14T21:51:28.6350159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6350235Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6350440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6350501Z x = self.act1(x) 2025-08-14T21:51:28.6350504Z 2025-08-14T21:51:28.6350613Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6350806Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6350870Z return mod(*inputs) 2025-08-14T21:51:28.6351061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6351132Z y = self.forward_features(x) 2025-08-14T21:51:28.6351348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6351429Z yl = self.stages(x) 2025-08-14T21:51:28.6351612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6351702Z yl = self.stage3(xl) 2025-08-14T21:51:28.6351890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6351948Z x = module(x) 2025-08-14T21:51:28.6352142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6352203Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6352400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6352462Z x = self.conv2(x) 2025-08-14T21:51:28.6352466Z 2025-08-14T21:51:28.6352567Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6352780Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6352847Z return mod(*inputs) 2025-08-14T21:51:28.6353026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6353106Z y = self.forward_features(x) 2025-08-14T21:51:28.6353314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6353386Z yl = self.stages(x) 2025-08-14T21:51:28.6353568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6353633Z yl = self.stage3(xl) 2025-08-14T21:51:28.6353827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6353888Z x = module(x) 2025-08-14T21:51:28.6354075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6354148Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6354342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6354413Z x = self.act2(x) 2025-08-14T21:51:28.6354416Z 2025-08-14T21:51:28.6354519Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6354722Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6354793Z return mod(*inputs) 2025-08-14T21:51:28.6354974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6355044Z y = self.forward_features(x) 2025-08-14T21:51:28.6355264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6355329Z yl = self.stages(x) 2025-08-14T21:51:28.6355520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6355587Z yl = self.stage3(xl) 2025-08-14T21:51:28.6355790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6355860Z x = module(x) 2025-08-14T21:51:28.6356049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.6356108Z y = f(x[j]) 2025-08-14T21:51:28.6356112Z 2025-08-14T21:51:28.6356221Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6356416Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6356486Z return mod(*inputs) 2025-08-14T21:51:28.6356670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6356740Z y = self.forward_features(x) 2025-08-14T21:51:28.6356960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6357024Z yl = self.stages(x) 2025-08-14T21:51:28.6357226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6357316Z yl = self.stage3(xl) 2025-08-14T21:51:28.6357503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6357570Z x = module(x) 2025-08-14T21:51:28.6357756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6357816Z y = y + f(x[j]) 2025-08-14T21:51:28.6357820Z 2025-08-14T21:51:28.6357929Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6358123Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6358187Z return mod(*inputs) 2025-08-14T21:51:28.6358380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6358477Z y = self.forward_features(x) 2025-08-14T21:51:28.6358701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6358767Z yl = self.stages(x) 2025-08-14T21:51:28.6358951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6359024Z yl = self.stage3(xl) 2025-08-14T21:51:28.6359213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6359273Z x = module(x) 2025-08-14T21:51:28.6359467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6359527Z y = y + f(x[j]) 2025-08-14T21:51:28.6359532Z 2025-08-14T21:51:28.6359642Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6359837Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6359903Z return mod(*inputs) 2025-08-14T21:51:28.6360099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6360171Z y = self.forward_features(x) 2025-08-14T21:51:28.6360385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6360458Z yl = self.stages(x) 2025-08-14T21:51:28.6360642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6360714Z yl = self.stage3(xl) 2025-08-14T21:51:28.6360901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6360963Z x = module(x) 2025-08-14T21:51:28.6361157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:51:28.6361235Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:51:28.6361240Z 2025-08-14T21:51:28.6361346Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6361567Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6361637Z return mod(*inputs) 2025-08-14T21:51:28.6361834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6361906Z y = self.forward_features(x) 2025-08-14T21:51:28.6362121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6362194Z yl = self.stages(x) 2025-08-14T21:51:28.6362378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6362443Z yl = self.stage3(xl) 2025-08-14T21:51:28.6362635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6362697Z x = module(x) 2025-08-14T21:51:28.6363115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6363226Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6363440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6363518Z x = self.conv1(x) 2025-08-14T21:51:28.6363522Z 2025-08-14T21:51:28.6363635Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6363864Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6363942Z return mod(*inputs) 2025-08-14T21:51:28.6364140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6364223Z y = self.forward_features(x) 2025-08-14T21:51:28.6364452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6364539Z yl = self.stages(x) 2025-08-14T21:51:28.6364746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6364816Z yl = self.stage3(xl) 2025-08-14T21:51:28.6365010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6365081Z x = module(x) 2025-08-14T21:51:28.6365278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6365353Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6365553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6365619Z x = self.act1(x) 2025-08-14T21:51:28.6365622Z 2025-08-14T21:51:28.6365739Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6365942Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6366012Z return mod(*inputs) 2025-08-14T21:51:28.6366218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6366294Z y = self.forward_features(x) 2025-08-14T21:51:28.6366525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6366593Z yl = self.stages(x) 2025-08-14T21:51:28.6366786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6366864Z yl = self.stage3(xl) 2025-08-14T21:51:28.6367058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6367121Z x = module(x) 2025-08-14T21:51:28.6367326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6367393Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6367603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6367689Z x = self.conv2(x) 2025-08-14T21:51:28.6367694Z 2025-08-14T21:51:28.6367804Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6368023Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6368093Z return mod(*inputs) 2025-08-14T21:51:28.6368298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6368383Z y = self.forward_features(x) 2025-08-14T21:51:28.6368608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6368684Z yl = self.stages(x) 2025-08-14T21:51:28.6368877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6368945Z yl = self.stage3(xl) 2025-08-14T21:51:28.6369154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6369239Z x = module(x) 2025-08-14T21:51:28.6369453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6369528Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6369729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6369799Z x = self.act2(x) 2025-08-14T21:51:28.6369802Z 2025-08-14T21:51:28.6369909Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6370114Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6370190Z return mod(*inputs) 2025-08-14T21:51:28.6370397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6370473Z y = self.forward_features(x) 2025-08-14T21:51:28.6370720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6370792Z yl = self.stages(x) 2025-08-14T21:51:28.6370994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6371064Z yl = self.stage3(xl) 2025-08-14T21:51:28.6371271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6371341Z x = module(x) 2025-08-14T21:51:28.6371538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6371606Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6371826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6371892Z x = self.conv1(x) 2025-08-14T21:51:28.6371896Z 2025-08-14T21:51:28.6372010Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6372226Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6372298Z return mod(*inputs) 2025-08-14T21:51:28.6372502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6372577Z y = self.forward_features(x) 2025-08-14T21:51:28.6372804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6372883Z yl = self.stages(x) 2025-08-14T21:51:28.6373082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6373159Z yl = self.stage3(xl) 2025-08-14T21:51:28.6373368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6373433Z x = module(x) 2025-08-14T21:51:28.6373649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6373718Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6373953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6374031Z x = self.act1(x) 2025-08-14T21:51:28.6374035Z 2025-08-14T21:51:28.6374142Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6374361Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6374430Z return mod(*inputs) 2025-08-14T21:51:28.6374636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6374721Z y = self.forward_features(x) 2025-08-14T21:51:28.6374948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6375016Z yl = self.stages(x) 2025-08-14T21:51:28.6375224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6375314Z yl = self.stage3(xl) 2025-08-14T21:51:28.6375537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6375602Z x = module(x) 2025-08-14T21:51:28.6375810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6375886Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6376099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6376165Z x = self.conv2(x) 2025-08-14T21:51:28.6376175Z 2025-08-14T21:51:28.6376286Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6376493Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6376568Z return mod(*inputs) 2025-08-14T21:51:28.6376834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6376914Z y = self.forward_features(x) 2025-08-14T21:51:28.6377151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6377225Z yl = self.stages(x) 2025-08-14T21:51:28.6377423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6377500Z yl = self.stage3(xl) 2025-08-14T21:51:28.6377709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6377780Z x = module(x) 2025-08-14T21:51:28.6378034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6378130Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6378352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6378420Z x = self.act2(x) 2025-08-14T21:51:28.6378425Z 2025-08-14T21:51:28.6378531Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6378743Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6378809Z return mod(*inputs) 2025-08-14T21:51:28.6379003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6379074Z y = self.forward_features(x) 2025-08-14T21:51:28.6379292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6379364Z yl = self.stages(x) 2025-08-14T21:51:28.6379550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6379617Z yl = self.stage3(xl) 2025-08-14T21:51:28.6379816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6379877Z x = module(x) 2025-08-14T21:51:28.6380098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6380166Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6380358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6380430Z x = self.conv1(x) 2025-08-14T21:51:28.6380433Z 2025-08-14T21:51:28.6380536Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6380741Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6380807Z return mod(*inputs) 2025-08-14T21:51:28.6380995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6381075Z y = self.forward_features(x) 2025-08-14T21:51:28.6381295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6381376Z yl = self.stages(x) 2025-08-14T21:51:28.6381573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6381666Z yl = self.stage3(xl) 2025-08-14T21:51:28.6381854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6381924Z x = module(x) 2025-08-14T21:51:28.6382113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6382182Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6382374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6382435Z x = self.act1(x) 2025-08-14T21:51:28.6382438Z 2025-08-14T21:51:28.6382547Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6382761Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6382837Z return mod(*inputs) 2025-08-14T21:51:28.6383023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6383096Z y = self.forward_features(x) 2025-08-14T21:51:28.6383315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6383379Z yl = self.stages(x) 2025-08-14T21:51:28.6383562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6383635Z yl = self.stage3(xl) 2025-08-14T21:51:28.6383818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6383878Z x = module(x) 2025-08-14T21:51:28.6384070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6384133Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6384332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6384399Z x = self.conv2(x) 2025-08-14T21:51:28.6384402Z 2025-08-14T21:51:28.6384504Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6384706Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6384770Z return mod(*inputs) 2025-08-14T21:51:28.6384961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6385032Z y = self.forward_features(x) 2025-08-14T21:51:28.6385244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6385316Z yl = self.stages(x) 2025-08-14T21:51:28.6385500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6385568Z yl = self.stage3(xl) 2025-08-14T21:51:28.6385779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6385845Z x = module(x) 2025-08-14T21:51:28.6386032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6386104Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6386298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6386367Z x = self.act2(x) 2025-08-14T21:51:28.6386371Z 2025-08-14T21:51:28.6386472Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6386666Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6386739Z return mod(*inputs) 2025-08-14T21:51:28.6386924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6387005Z y = self.forward_features(x) 2025-08-14T21:51:28.6387239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6387322Z yl = self.stages(x) 2025-08-14T21:51:28.6387519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6387587Z yl = self.stage3(xl) 2025-08-14T21:51:28.6387791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6387865Z x = module(x) 2025-08-14T21:51:28.6388065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6388133Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6388356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6388420Z x = self.conv1(x) 2025-08-14T21:51:28.6388423Z 2025-08-14T21:51:28.6388551Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6388753Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6388821Z return mod(*inputs) 2025-08-14T21:51:28.6389017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6389090Z y = self.forward_features(x) 2025-08-14T21:51:28.6389311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6389378Z yl = self.stages(x) 2025-08-14T21:51:28.6389561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6389634Z yl = self.stage3(xl) 2025-08-14T21:51:28.6389819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6389880Z x = module(x) 2025-08-14T21:51:28.6390072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6390139Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6390339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6390401Z x = self.act1(x) 2025-08-14T21:51:28.6390404Z 2025-08-14T21:51:28.6390507Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6390709Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6390774Z return mod(*inputs) 2025-08-14T21:51:28.6390960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6391043Z y = self.forward_features(x) 2025-08-14T21:51:28.6391258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6391331Z yl = self.stages(x) 2025-08-14T21:51:28.6391514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6391602Z yl = self.stage3(xl) 2025-08-14T21:51:28.6391799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6391862Z x = module(x) 2025-08-14T21:51:28.6392052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6392129Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6392325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6392398Z x = self.conv2(x) 2025-08-14T21:51:28.6392402Z 2025-08-14T21:51:28.6392508Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6392710Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6392785Z return mod(*inputs) 2025-08-14T21:51:28.6392975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6393066Z y = self.forward_features(x) 2025-08-14T21:51:28.6393313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6393381Z yl = self.stages(x) 2025-08-14T21:51:28.6393570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6393636Z yl = self.stage3(xl) 2025-08-14T21:51:28.6393819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6393886Z x = module(x) 2025-08-14T21:51:28.6394072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6394135Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6394349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6394414Z x = self.act2(x) 2025-08-14T21:51:28.6394419Z 2025-08-14T21:51:28.6394530Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6394729Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6394794Z return mod(*inputs) 2025-08-14T21:51:28.6394991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6395063Z y = self.forward_features(x) 2025-08-14T21:51:28.6395283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6395353Z yl = self.stages(x) 2025-08-14T21:51:28.6395540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6395614Z yl = self.stage3(xl) 2025-08-14T21:51:28.6395810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6395872Z x = module(x) 2025-08-14T21:51:28.6396070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6396131Z y = y + f(x[j]) 2025-08-14T21:51:28.6396134Z 2025-08-14T21:51:28.6396235Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6396442Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6396507Z return mod(*inputs) 2025-08-14T21:51:28.6396711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6396785Z y = self.forward_features(x) 2025-08-14T21:51:28.6397017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6397091Z yl = self.stages(x) 2025-08-14T21:51:28.6397293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6397363Z yl = self.stage3(xl) 2025-08-14T21:51:28.6397590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6397657Z x = module(x) 2025-08-14T21:51:28.6397876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6397940Z y = y + f(x[j]) 2025-08-14T21:51:28.6397944Z 2025-08-14T21:51:28.6398052Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6398270Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6398341Z return mod(*inputs) 2025-08-14T21:51:28.6398549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6398634Z y = self.forward_features(x) 2025-08-14T21:51:28.6398864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6398966Z yl = self.stages(x) 2025-08-14T21:51:28.6399185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6399255Z yl = self.stage3(xl) 2025-08-14T21:51:28.6399463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6399527Z x = module(x) 2025-08-14T21:51:28.6399731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6399808Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6400018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6400093Z x = self.conv1(x) 2025-08-14T21:51:28.6400096Z 2025-08-14T21:51:28.6400206Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6400431Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6400512Z return mod(*inputs) 2025-08-14T21:51:28.6400709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6400783Z y = self.forward_features(x) 2025-08-14T21:51:28.6401017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6401086Z yl = self.stages(x) 2025-08-14T21:51:28.6401288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6401360Z yl = self.stage3(xl) 2025-08-14T21:51:28.6401560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6401632Z x = module(x) 2025-08-14T21:51:28.6401828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6401897Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6402111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6402179Z x = self.act1(x) 2025-08-14T21:51:28.6402183Z 2025-08-14T21:51:28.6402300Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6402508Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6402580Z return mod(*inputs) 2025-08-14T21:51:28.6402883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6402968Z y = self.forward_features(x) 2025-08-14T21:51:28.6403202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6403284Z yl = self.stages(x) 2025-08-14T21:51:28.6403496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6403577Z yl = self.stage3(xl) 2025-08-14T21:51:28.6403808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6403889Z x = module(x) 2025-08-14T21:51:28.6404094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6404162Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6404369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6404447Z x = self.conv2(x) 2025-08-14T21:51:28.6404451Z 2025-08-14T21:51:28.6404561Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6404783Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6404852Z return mod(*inputs) 2025-08-14T21:51:28.6405051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6405138Z y = self.forward_features(x) 2025-08-14T21:51:28.6405399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6405489Z yl = self.stages(x) 2025-08-14T21:51:28.6405698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6405767Z yl = self.stage3(xl) 2025-08-14T21:51:28.6405975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6406039Z x = module(x) 2025-08-14T21:51:28.6406240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6406313Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6406519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6406585Z x = self.act2(x) 2025-08-14T21:51:28.6406588Z 2025-08-14T21:51:28.6406725Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6406942Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6407022Z return mod(*inputs) 2025-08-14T21:51:28.6407217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6407291Z y = self.forward_features(x) 2025-08-14T21:51:28.6407532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6407598Z yl = self.stages(x) 2025-08-14T21:51:28.6407792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6407869Z yl = self.stage3(xl) 2025-08-14T21:51:28.6408066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6408136Z x = module(x) 2025-08-14T21:51:28.6408335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6408403Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6408612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6408679Z x = self.conv1(x) 2025-08-14T21:51:28.6408682Z 2025-08-14T21:51:28.6408791Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6409005Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6409073Z return mod(*inputs) 2025-08-14T21:51:28.6409274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6409349Z y = self.forward_features(x) 2025-08-14T21:51:28.6409574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6409652Z yl = self.stages(x) 2025-08-14T21:51:28.6409868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6409942Z yl = self.stage3(xl) 2025-08-14T21:51:28.6410159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6410223Z x = module(x) 2025-08-14T21:51:28.6410436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6410503Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6410717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6410792Z x = self.act1(x) 2025-08-14T21:51:28.6410795Z 2025-08-14T21:51:28.6410903Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6411112Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6411190Z return mod(*inputs) 2025-08-14T21:51:28.6411404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6411505Z y = self.forward_features(x) 2025-08-14T21:51:28.6411741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6411805Z yl = self.stages(x) 2025-08-14T21:51:28.6411999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6412065Z yl = self.stage3(xl) 2025-08-14T21:51:28.6412256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6412327Z x = module(x) 2025-08-14T21:51:28.6412516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6412587Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6412801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6412868Z x = self.conv2(x) 2025-08-14T21:51:28.6412873Z 2025-08-14T21:51:28.6412984Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6413182Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6413247Z return mod(*inputs) 2025-08-14T21:51:28.6413442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6413514Z y = self.forward_features(x) 2025-08-14T21:51:28.6413740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6413805Z yl = self.stages(x) 2025-08-14T21:51:28.6413992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6414066Z yl = self.stage3(xl) 2025-08-14T21:51:28.6414258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6414323Z x = module(x) 2025-08-14T21:51:28.6414522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6414585Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6414782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6414845Z x = self.act2(x) 2025-08-14T21:51:28.6414848Z 2025-08-14T21:51:28.6414950Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6415152Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6415218Z return mod(*inputs) 2025-08-14T21:51:28.6415406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6415483Z y = self.forward_features(x) 2025-08-14T21:51:28.6415700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6415793Z yl = self.stages(x) 2025-08-14T21:51:28.6415979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6416045Z yl = self.stage3(xl) 2025-08-14T21:51:28.6416235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6416296Z x = module(x) 2025-08-14T21:51:28.6416483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6416557Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6416748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6416821Z x = self.conv1(x) 2025-08-14T21:51:28.6416824Z 2025-08-14T21:51:28.6416925Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6417121Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6417215Z return mod(*inputs) 2025-08-14T21:51:28.6417423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6417493Z y = self.forward_features(x) 2025-08-14T21:51:28.6417718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6417783Z yl = self.stages(x) 2025-08-14T21:51:28.6417979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6418045Z yl = self.stage3(xl) 2025-08-14T21:51:28.6418237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6418306Z x = module(x) 2025-08-14T21:51:28.6418516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6418584Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6418789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6418855Z x = self.act1(x) 2025-08-14T21:51:28.6418858Z 2025-08-14T21:51:28.6418967Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6419163Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6419229Z return mod(*inputs) 2025-08-14T21:51:28.6419424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6419495Z y = self.forward_features(x) 2025-08-14T21:51:28.6419712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6419784Z yl = self.stages(x) 2025-08-14T21:51:28.6419972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6420046Z yl = self.stage3(xl) 2025-08-14T21:51:28.6420234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6420296Z x = module(x) 2025-08-14T21:51:28.6420493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6420557Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6420749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6420819Z x = self.conv2(x) 2025-08-14T21:51:28.6420822Z 2025-08-14T21:51:28.6420923Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6421127Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6421192Z return mod(*inputs) 2025-08-14T21:51:28.6421382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6421461Z y = self.forward_features(x) 2025-08-14T21:51:28.6421702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6421769Z yl = self.stages(x) 2025-08-14T21:51:28.6421961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6422027Z yl = self.stage3(xl) 2025-08-14T21:51:28.6422221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6422283Z x = module(x) 2025-08-14T21:51:28.6422473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6422543Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6422735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6422799Z x = self.act2(x) 2025-08-14T21:51:28.6422802Z 2025-08-14T21:51:28.6422932Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6423174Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6423246Z return mod(*inputs) 2025-08-14T21:51:28.6423429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6423500Z y = self.forward_features(x) 2025-08-14T21:51:28.6423721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6423785Z yl = self.stages(x) 2025-08-14T21:51:28.6423966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6424040Z yl = self.stage3(xl) 2025-08-14T21:51:28.6424222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6424311Z x = module(x) 2025-08-14T21:51:28.6424501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6424566Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6424767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6424830Z x = self.conv1(x) 2025-08-14T21:51:28.6424834Z 2025-08-14T21:51:28.6424935Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6425138Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6425201Z return mod(*inputs) 2025-08-14T21:51:28.6425393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6425464Z y = self.forward_features(x) 2025-08-14T21:51:28.6425680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6425755Z yl = self.stages(x) 2025-08-14T21:51:28.6425942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6426012Z yl = self.stage3(xl) 2025-08-14T21:51:28.6426205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6426265Z x = module(x) 2025-08-14T21:51:28.6426458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6426522Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6426714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6426785Z x = self.act1(x) 2025-08-14T21:51:28.6426788Z 2025-08-14T21:51:28.6426891Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6427088Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6427163Z return mod(*inputs) 2025-08-14T21:51:28.6427377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6427461Z y = self.forward_features(x) 2025-08-14T21:51:28.6427679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6427746Z yl = self.stages(x) 2025-08-14T21:51:28.6427942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6428008Z yl = self.stage3(xl) 2025-08-14T21:51:28.6428197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6428265Z x = module(x) 2025-08-14T21:51:28.6428454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6428525Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6428722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6428804Z x = self.conv2(x) 2025-08-14T21:51:28.6428826Z 2025-08-14T21:51:28.6428938Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6429133Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6429197Z return mod(*inputs) 2025-08-14T21:51:28.6429391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6429461Z y = self.forward_features(x) 2025-08-14T21:51:28.6429682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6429746Z yl = self.stages(x) 2025-08-14T21:51:28.6429928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6430003Z yl = self.stage3(xl) 2025-08-14T21:51:28.6430205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6430271Z x = module(x) 2025-08-14T21:51:28.6430470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.6430531Z y = f(x[j]) 2025-08-14T21:51:28.6430534Z 2025-08-14T21:51:28.6430642Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6430836Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6430898Z return mod(*inputs) 2025-08-14T21:51:28.6431089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6431160Z y = self.forward_features(x) 2025-08-14T21:51:28.6431372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6431445Z yl = self.stages(x) 2025-08-14T21:51:28.6431631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6431706Z yl = self.stage3(xl) 2025-08-14T21:51:28.6431888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6431945Z x = module(x) 2025-08-14T21:51:28.6432150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.6432209Z y = f(x[j]) 2025-08-14T21:51:28.6432213Z 2025-08-14T21:51:28.6432320Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6432512Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6432576Z return mod(*inputs) 2025-08-14T21:51:28.6432765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6432836Z y = self.forward_features(x) 2025-08-14T21:51:28.6433059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6433133Z yl = self.stages(x) 2025-08-14T21:51:28.6433311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6433376Z yl = self.stage3(xl) 2025-08-14T21:51:28.6433569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6433628Z x = module(x) 2025-08-14T21:51:28.6433821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.6433879Z y = f(x[j]) 2025-08-14T21:51:28.6433882Z 2025-08-14T21:51:28.6433982Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6434185Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6434249Z return mod(*inputs) 2025-08-14T21:51:28.6434441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6434552Z y = self.forward_features(x) 2025-08-14T21:51:28.6434767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6434839Z yl = self.stages(x) 2025-08-14T21:51:28.6435027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6435093Z yl = self.stage3(xl) 2025-08-14T21:51:28.6435287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6435348Z x = module(x) 2025-08-14T21:51:28.6435540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6435609Z y = y + f(x[j]) 2025-08-14T21:51:28.6435612Z 2025-08-14T21:51:28.6435735Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6435940Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6436007Z return mod(*inputs) 2025-08-14T21:51:28.6436193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6436271Z y = self.forward_features(x) 2025-08-14T21:51:28.6436483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6436554Z yl = self.stages(x) 2025-08-14T21:51:28.6436739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6436804Z yl = self.stage3(xl) 2025-08-14T21:51:28.6437000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6437060Z x = module(x) 2025-08-14T21:51:28.6437247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6437320Z y = y + f(x[j]) 2025-08-14T21:51:28.6437324Z 2025-08-14T21:51:28.6437427Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6437632Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6437698Z return mod(*inputs) 2025-08-14T21:51:28.6437884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6437961Z y = self.forward_features(x) 2025-08-14T21:51:28.6438174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6438239Z yl = self.stages(x) 2025-08-14T21:51:28.6438432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6438496Z yl = self.stage3(xl) 2025-08-14T21:51:28.6438690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6438774Z x = module(x) 2025-08-14T21:51:28.6438963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6439031Z y = y + f(x[j]) 2025-08-14T21:51:28.6439034Z 2025-08-14T21:51:28.6439137Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6439331Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6439405Z return mod(*inputs) 2025-08-14T21:51:28.6439592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6439668Z y = self.forward_features(x) 2025-08-14T21:51:28.6439880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6439944Z yl = self.stages(x) 2025-08-14T21:51:28.6440139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6440223Z yl = self.stage3(xl) 2025-08-14T21:51:28.6440426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6440493Z x = module(x) 2025-08-14T21:51:28.6440679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:51:28.6440766Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:51:28.6440769Z 2025-08-14T21:51:28.6440872Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6441067Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6441139Z return mod(*inputs) 2025-08-14T21:51:28.6441361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6441434Z y = self.forward_features(x) 2025-08-14T21:51:28.6441689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6441762Z yl = self.stages(x) 2025-08-14T21:51:28.6441966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6442036Z yl = self.stage3(xl) 2025-08-14T21:51:28.6442234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6442307Z x = module(x) 2025-08-14T21:51:28.6442506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6442574Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6442858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6442933Z x = self.conv1(x) 2025-08-14T21:51:28.6442937Z 2025-08-14T21:51:28.6443059Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6443269Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6443341Z return mod(*inputs) 2025-08-14T21:51:28.6443559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6443635Z y = self.forward_features(x) 2025-08-14T21:51:28.6443862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6443941Z yl = self.stages(x) 2025-08-14T21:51:28.6444147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6444226Z yl = self.stage3(xl) 2025-08-14T21:51:28.6444423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6444488Z x = module(x) 2025-08-14T21:51:28.6444918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6444994Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6445261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6445345Z x = self.act1(x) 2025-08-14T21:51:28.6445348Z 2025-08-14T21:51:28.6445458Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6445674Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6445742Z return mod(*inputs) 2025-08-14T21:51:28.6445940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6446020Z y = self.forward_features(x) 2025-08-14T21:51:28.6446249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6446316Z yl = self.stages(x) 2025-08-14T21:51:28.6446519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6446625Z yl = self.stage3(xl) 2025-08-14T21:51:28.6446870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6446930Z x = module(x) 2025-08-14T21:51:28.6447117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6447192Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6447381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6447446Z x = self.conv2(x) 2025-08-14T21:51:28.6447449Z 2025-08-14T21:51:28.6447561Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6447767Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6447839Z return mod(*inputs) 2025-08-14T21:51:28.6448086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6448165Z y = self.forward_features(x) 2025-08-14T21:51:28.6448403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6448472Z yl = self.stages(x) 2025-08-14T21:51:28.6448671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6448749Z yl = self.stage3(xl) 2025-08-14T21:51:28.6448946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6449016Z x = module(x) 2025-08-14T21:51:28.6449224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6449291Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6449504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6449572Z x = self.act2(x) 2025-08-14T21:51:28.6449577Z 2025-08-14T21:51:28.6449688Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6449905Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6449975Z return mod(*inputs) 2025-08-14T21:51:28.6450190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6450265Z y = self.forward_features(x) 2025-08-14T21:51:28.6450492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6450568Z yl = self.stages(x) 2025-08-14T21:51:28.6450767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6450836Z yl = self.stage3(xl) 2025-08-14T21:51:28.6451056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6451122Z x = module(x) 2025-08-14T21:51:28.6451359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6451432Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6451647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6451722Z x = self.conv1(x) 2025-08-14T21:51:28.6451725Z 2025-08-14T21:51:28.6451834Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6452044Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6452122Z return mod(*inputs) 2025-08-14T21:51:28.6452331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6452413Z y = self.forward_features(x) 2025-08-14T21:51:28.6452643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6452730Z yl = self.stages(x) 2025-08-14T21:51:28.6452935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6453021Z yl = self.stage3(xl) 2025-08-14T21:51:28.6453218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6453293Z x = module(x) 2025-08-14T21:51:28.6453499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6453571Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6453774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6453840Z x = self.act1(x) 2025-08-14T21:51:28.6453844Z 2025-08-14T21:51:28.6453959Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6454184Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6454255Z return mod(*inputs) 2025-08-14T21:51:28.6454475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6454552Z y = self.forward_features(x) 2025-08-14T21:51:28.6454789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6454859Z yl = self.stages(x) 2025-08-14T21:51:28.6455052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6455130Z yl = self.stage3(xl) 2025-08-14T21:51:28.6455339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6455402Z x = module(x) 2025-08-14T21:51:28.6455619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6455684Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6455907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6455976Z x = self.conv2(x) 2025-08-14T21:51:28.6455980Z 2025-08-14T21:51:28.6456088Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6456301Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6456369Z return mod(*inputs) 2025-08-14T21:51:28.6456576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6456658Z y = self.forward_features(x) 2025-08-14T21:51:28.6456885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6456958Z yl = self.stages(x) 2025-08-14T21:51:28.6457150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6457221Z yl = self.stage3(xl) 2025-08-14T21:51:28.6457443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6457509Z x = module(x) 2025-08-14T21:51:28.6457718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6457795Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6458008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6458079Z x = self.act2(x) 2025-08-14T21:51:28.6458083Z 2025-08-14T21:51:28.6458191Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6458398Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6458474Z return mod(*inputs) 2025-08-14T21:51:28.6458681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6458756Z y = self.forward_features(x) 2025-08-14T21:51:28.6459011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6459099Z yl = self.stages(x) 2025-08-14T21:51:28.6459305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6459373Z yl = self.stage3(xl) 2025-08-14T21:51:28.6459585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6459656Z x = module(x) 2025-08-14T21:51:28.6459855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6459921Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6460145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6460213Z x = self.conv1(x) 2025-08-14T21:51:28.6460216Z 2025-08-14T21:51:28.6460348Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6460561Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6460632Z return mod(*inputs) 2025-08-14T21:51:28.6460846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6460917Z y = self.forward_features(x) 2025-08-14T21:51:28.6461130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6461203Z yl = self.stages(x) 2025-08-14T21:51:28.6461386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6461458Z yl = self.stage3(xl) 2025-08-14T21:51:28.6461645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6461705Z x = module(x) 2025-08-14T21:51:28.6461898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6461963Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6462156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6462225Z x = self.act1(x) 2025-08-14T21:51:28.6462229Z 2025-08-14T21:51:28.6462330Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6462533Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6462597Z return mod(*inputs) 2025-08-14T21:51:28.6462783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6462861Z y = self.forward_features(x) 2025-08-14T21:51:28.6463075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6463138Z yl = self.stages(x) 2025-08-14T21:51:28.6463332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6463419Z yl = self.stage3(xl) 2025-08-14T21:51:28.6463618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6463679Z x = module(x) 2025-08-14T21:51:28.6463868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6463942Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6464138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6464201Z x = self.conv2(x) 2025-08-14T21:51:28.6464204Z 2025-08-14T21:51:28.6464316Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6464514Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6464586Z return mod(*inputs) 2025-08-14T21:51:28.6464779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6464887Z y = self.forward_features(x) 2025-08-14T21:51:28.6465115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6465180Z yl = self.stages(x) 2025-08-14T21:51:28.6465367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6465441Z yl = self.stage3(xl) 2025-08-14T21:51:28.6465630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6465698Z x = module(x) 2025-08-14T21:51:28.6465884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6465949Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6466166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6466231Z x = self.act2(x) 2025-08-14T21:51:28.6466235Z 2025-08-14T21:51:28.6466338Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6466544Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6466609Z return mod(*inputs) 2025-08-14T21:51:28.6466802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6466874Z y = self.forward_features(x) 2025-08-14T21:51:28.6467087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6467161Z yl = self.stages(x) 2025-08-14T21:51:28.6467346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6467411Z yl = self.stage3(xl) 2025-08-14T21:51:28.6467607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6467669Z x = module(x) 2025-08-14T21:51:28.6467880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6467947Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6468139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6468209Z x = self.conv1(x) 2025-08-14T21:51:28.6468212Z 2025-08-14T21:51:28.6468314Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6468512Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6468586Z return mod(*inputs) 2025-08-14T21:51:28.6468771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6468848Z y = self.forward_features(x) 2025-08-14T21:51:28.6469065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6469154Z yl = self.stages(x) 2025-08-14T21:51:28.6469350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6469415Z yl = self.stage3(xl) 2025-08-14T21:51:28.6469601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6469669Z x = module(x) 2025-08-14T21:51:28.6469854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6469924Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6470115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6470176Z x = self.act1(x) 2025-08-14T21:51:28.6470179Z 2025-08-14T21:51:28.6470289Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6470485Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6470571Z return mod(*inputs) 2025-08-14T21:51:28.6470793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6470864Z y = self.forward_features(x) 2025-08-14T21:51:28.6471083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6471146Z yl = self.stages(x) 2025-08-14T21:51:28.6471335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6471409Z yl = self.stage3(xl) 2025-08-14T21:51:28.6471594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6471654Z x = module(x) 2025-08-14T21:51:28.6471851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6471933Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6472138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6472206Z x = self.conv2(x) 2025-08-14T21:51:28.6472209Z 2025-08-14T21:51:28.6472311Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6472513Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6472577Z return mod(*inputs) 2025-08-14T21:51:28.6472767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6472845Z y = self.forward_features(x) 2025-08-14T21:51:28.6473063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6473135Z yl = self.stages(x) 2025-08-14T21:51:28.6473322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6473390Z yl = self.stage3(xl) 2025-08-14T21:51:28.6473591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6473655Z x = module(x) 2025-08-14T21:51:28.6473843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6473914Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6474110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6474179Z x = self.act2(x) 2025-08-14T21:51:28.6474182Z 2025-08-14T21:51:28.6474286Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6474482Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6474556Z return mod(*inputs) 2025-08-14T21:51:28.6474749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6474819Z y = self.forward_features(x) 2025-08-14T21:51:28.6475068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6475137Z yl = self.stages(x) 2025-08-14T21:51:28.6475325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6475402Z yl = self.stage3(xl) 2025-08-14T21:51:28.6475585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6475652Z x = module(x) 2025-08-14T21:51:28.6475834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.6475893Z y = f(x[j]) 2025-08-14T21:51:28.6475904Z 2025-08-14T21:51:28.6476005Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6476198Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6476290Z return mod(*inputs) 2025-08-14T21:51:28.6476473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6476561Z y = self.forward_features(x) 2025-08-14T21:51:28.6476784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6476850Z yl = self.stages(x) 2025-08-14T21:51:28.6477035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6477110Z yl = self.stage3(xl) 2025-08-14T21:51:28.6477295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6477363Z x = module(x) 2025-08-14T21:51:28.6477553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6477615Z y = y + f(x[j]) 2025-08-14T21:51:28.6477635Z 2025-08-14T21:51:28.6477747Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6477947Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6478021Z return mod(*inputs) 2025-08-14T21:51:28.6478206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6478277Z y = self.forward_features(x) 2025-08-14T21:51:28.6478507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6478571Z yl = self.stages(x) 2025-08-14T21:51:28.6478753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6478827Z yl = self.stage3(xl) 2025-08-14T21:51:28.6479012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6479071Z x = module(x) 2025-08-14T21:51:28.6479266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6479329Z y = y + f(x[j]) 2025-08-14T21:51:28.6479332Z 2025-08-14T21:51:28.6479443Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6479637Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6479702Z return mod(*inputs) 2025-08-14T21:51:28.6479893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6479964Z y = self.forward_features(x) 2025-08-14T21:51:28.6480188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6480252Z yl = self.stages(x) 2025-08-14T21:51:28.6480436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6480699Z yl = self.stage3(xl) 2025-08-14T21:51:28.6480936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6481006Z x = module(x) 2025-08-14T21:51:28.6481212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:51:28.6481296Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:51:28.6481305Z 2025-08-14T21:51:28.6481420Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6481628Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6481698Z return mod(*inputs) 2025-08-14T21:51:28.6481904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6481979Z y = self.forward_features(x) 2025-08-14T21:51:28.6482207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6482284Z yl = self.stages(x) 2025-08-14T21:51:28.6482501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6482601Z yl = self.stage3(xl) 2025-08-14T21:51:28.6482851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6482923Z x = module(x) 2025-08-14T21:51:28.6483130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6483201Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6483411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6483488Z x = self.conv1(x) 2025-08-14T21:51:28.6483492Z 2025-08-14T21:51:28.6483603Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6483851Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6483924Z return mod(*inputs) 2025-08-14T21:51:28.6484129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6484214Z y = self.forward_features(x) 2025-08-14T21:51:28.6484457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6484525Z yl = self.stages(x) 2025-08-14T21:51:28.6484727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6484800Z yl = self.stage3(xl) 2025-08-14T21:51:28.6485004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6485071Z x = module(x) 2025-08-14T21:51:28.6485268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6485344Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6485548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6485617Z x = self.act1(x) 2025-08-14T21:51:28.6485622Z 2025-08-14T21:51:28.6485741Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6485946Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6486023Z return mod(*inputs) 2025-08-14T21:51:28.6486218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6486300Z y = self.forward_features(x) 2025-08-14T21:51:28.6486520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6486585Z yl = self.stages(x) 2025-08-14T21:51:28.6486767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6486844Z yl = self.stage3(xl) 2025-08-14T21:51:28.6487055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6487129Z x = module(x) 2025-08-14T21:51:28.6487314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6487378Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6487577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6487641Z x = self.conv2(x) 2025-08-14T21:51:28.6487644Z 2025-08-14T21:51:28.6487747Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6487950Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6488016Z return mod(*inputs) 2025-08-14T21:51:28.6488207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6488280Z y = self.forward_features(x) 2025-08-14T21:51:28.6488494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6488615Z yl = self.stages(x) 2025-08-14T21:51:28.6488802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6488867Z yl = self.stage3(xl) 2025-08-14T21:51:28.6489065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6489127Z x = module(x) 2025-08-14T21:51:28.6489322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6489386Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6489580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6489650Z x = self.act2(x) 2025-08-14T21:51:28.6489653Z 2025-08-14T21:51:28.6489780Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6489980Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6490055Z return mod(*inputs) 2025-08-14T21:51:28.6490241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6490318Z y = self.forward_features(x) 2025-08-14T21:51:28.6490530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6490594Z yl = self.stages(x) 2025-08-14T21:51:28.6490783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6490850Z yl = self.stage3(xl) 2025-08-14T21:51:28.6491033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6491105Z x = module(x) 2025-08-14T21:51:28.6491296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6491371Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6491564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6491630Z x = self.conv1(x) 2025-08-14T21:51:28.6491633Z 2025-08-14T21:51:28.6491743Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6491949Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6492017Z return mod(*inputs) 2025-08-14T21:51:28.6492231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6492306Z y = self.forward_features(x) 2025-08-14T21:51:28.6492541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6492608Z yl = self.stages(x) 2025-08-14T21:51:28.6492803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6492901Z yl = self.stage3(xl) 2025-08-14T21:51:28.6493100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6493164Z x = module(x) 2025-08-14T21:51:28.6493382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6493450Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6493672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6493739Z x = self.act1(x) 2025-08-14T21:51:28.6493743Z 2025-08-14T21:51:28.6493853Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6494068Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6494136Z return mod(*inputs) 2025-08-14T21:51:28.6494346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6494465Z y = self.forward_features(x) 2025-08-14T21:51:28.6494715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6494792Z yl = self.stages(x) 2025-08-14T21:51:28.6494991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6495061Z yl = self.stage3(xl) 2025-08-14T21:51:28.6495270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6495334Z x = module(x) 2025-08-14T21:51:28.6495540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6495612Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6495808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6495900Z x = self.conv2(x) 2025-08-14T21:51:28.6495905Z 2025-08-14T21:51:28.6496010Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6496207Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6496279Z return mod(*inputs) 2025-08-14T21:51:28.6496463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6496533Z y = self.forward_features(x) 2025-08-14T21:51:28.6496752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6496816Z yl = self.stages(x) 2025-08-14T21:51:28.6497006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6497071Z yl = self.stage3(xl) 2025-08-14T21:51:28.6497258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6497328Z x = module(x) 2025-08-14T21:51:28.6497514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6497579Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6497780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6497840Z x = self.act2(x) 2025-08-14T21:51:28.6497843Z 2025-08-14T21:51:28.6497950Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6498143Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6498209Z return mod(*inputs) 2025-08-14T21:51:28.6498399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6498469Z y = self.forward_features(x) 2025-08-14T21:51:28.6498682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6498757Z yl = self.stages(x) 2025-08-14T21:51:28.6498965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6499042Z yl = self.stage3(xl) 2025-08-14T21:51:28.6499232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6499293Z x = module(x) 2025-08-14T21:51:28.6499490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6499553Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6499748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6499822Z x = self.conv1(x) 2025-08-14T21:51:28.6499825Z 2025-08-14T21:51:28.6499927Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6500131Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6500219Z return mod(*inputs) 2025-08-14T21:51:28.6500409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6500507Z y = self.forward_features(x) 2025-08-14T21:51:28.6500728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6500793Z yl = self.stages(x) 2025-08-14T21:51:28.6500990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6501056Z yl = self.stage3(xl) 2025-08-14T21:51:28.6501253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6501316Z x = module(x) 2025-08-14T21:51:28.6501508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6501600Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6501794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6501859Z x = self.act1(x) 2025-08-14T21:51:28.6501862Z 2025-08-14T21:51:28.6501975Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6502168Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6502242Z return mod(*inputs) 2025-08-14T21:51:28.6502427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6502496Z y = self.forward_features(x) 2025-08-14T21:51:28.6502715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6502779Z yl = self.stages(x) 2025-08-14T21:51:28.6502962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6503037Z yl = self.stage3(xl) 2025-08-14T21:51:28.6503224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6503293Z x = module(x) 2025-08-14T21:51:28.6503479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6503542Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6503739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6503801Z x = self.conv2(x) 2025-08-14T21:51:28.6503805Z 2025-08-14T21:51:28.6503908Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6504112Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6504176Z return mod(*inputs) 2025-08-14T21:51:28.6504367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6504440Z y = self.forward_features(x) 2025-08-14T21:51:28.6504673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6504751Z yl = self.stages(x) 2025-08-14T21:51:28.6504934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6505000Z yl = self.stage3(xl) 2025-08-14T21:51:28.6505194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6505255Z x = module(x) 2025-08-14T21:51:28.6505450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6505514Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6505704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6505773Z x = self.act2(x) 2025-08-14T21:51:28.6505776Z 2025-08-14T21:51:28.6505880Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6506100Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6506192Z return mod(*inputs) 2025-08-14T21:51:28.6506380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6506459Z y = self.forward_features(x) 2025-08-14T21:51:28.6506671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6506735Z yl = self.stages(x) 2025-08-14T21:51:28.6506927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6506992Z yl = self.stage3(xl) 2025-08-14T21:51:28.6507179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6507249Z x = module(x) 2025-08-14T21:51:28.6507452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6507528Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6507723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6507787Z x = self.conv1(x) 2025-08-14T21:51:28.6507790Z 2025-08-14T21:51:28.6507900Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6508095Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6508158Z return mod(*inputs) 2025-08-14T21:51:28.6508354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6508424Z y = self.forward_features(x) 2025-08-14T21:51:28.6508647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6508710Z yl = self.stages(x) 2025-08-14T21:51:28.6508900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6508977Z yl = self.stage3(xl) 2025-08-14T21:51:28.6509166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6509225Z x = module(x) 2025-08-14T21:51:28.6509424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6509488Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6509687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6509748Z x = self.act1(x) 2025-08-14T21:51:28.6509752Z 2025-08-14T21:51:28.6509853Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6510055Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6510119Z return mod(*inputs) 2025-08-14T21:51:28.6510321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6510404Z y = self.forward_features(x) 2025-08-14T21:51:28.6510618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6510687Z yl = self.stages(x) 2025-08-14T21:51:28.6510871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6510935Z yl = self.stage3(xl) 2025-08-14T21:51:28.6511128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6511188Z x = module(x) 2025-08-14T21:51:28.6511372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6511444Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6511636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6511729Z x = self.conv2(x) 2025-08-14T21:51:28.6511733Z 2025-08-14T21:51:28.6511855Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6512053Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6512130Z return mod(*inputs) 2025-08-14T21:51:28.6512321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6512395Z y = self.forward_features(x) 2025-08-14T21:51:28.6512621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6512689Z yl = self.stages(x) 2025-08-14T21:51:28.6512885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6512956Z yl = self.stage3(xl) 2025-08-14T21:51:28.6513168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6513240Z x = module(x) 2025-08-14T21:51:28.6513435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6513500Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6513700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6513762Z x = self.act2(x) 2025-08-14T21:51:28.6513765Z 2025-08-14T21:51:28.6513878Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6514083Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6514152Z return mod(*inputs) 2025-08-14T21:51:28.6514362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6514437Z y = self.forward_features(x) 2025-08-14T21:51:28.6514661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6514739Z yl = self.stages(x) 2025-08-14T21:51:28.6514935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6515012Z yl = self.stage3(xl) 2025-08-14T21:51:28.6515208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6515272Z x = module(x) 2025-08-14T21:51:28.6515480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6515543Z y = y + f(x[j]) 2025-08-14T21:51:28.6515546Z 2025-08-14T21:51:28.6515655Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6515871Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6515940Z return mod(*inputs) 2025-08-14T21:51:28.6516153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6516258Z y = self.forward_features(x) 2025-08-14T21:51:28.6516492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6516568Z yl = self.stages(x) 2025-08-14T21:51:28.6516765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6516835Z yl = self.stage3(xl) 2025-08-14T21:51:28.6517052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6517116Z x = module(x) 2025-08-14T21:51:28.6517330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6517394Z y = y + f(x[j]) 2025-08-14T21:51:28.6517397Z 2025-08-14T21:51:28.6517506Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6517727Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6517848Z return mod(*inputs) 2025-08-14T21:51:28.6518070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6518154Z y = self.forward_features(x) 2025-08-14T21:51:28.6518383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6518459Z yl = self.stages(x) 2025-08-14T21:51:28.6518655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6518726Z yl = self.stage3(xl) 2025-08-14T21:51:28.6518934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6518999Z x = module(x) 2025-08-14T21:51:28.6519198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6519292Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6519506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6519581Z x = self.conv1(x) 2025-08-14T21:51:28.6519585Z 2025-08-14T21:51:28.6519693Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6519901Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6519979Z return mod(*inputs) 2025-08-14T21:51:28.6520189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6520264Z y = self.forward_features(x) 2025-08-14T21:51:28.6520502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6520571Z yl = self.stages(x) 2025-08-14T21:51:28.6520779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6520851Z yl = self.stage3(xl) 2025-08-14T21:51:28.6521064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6521137Z x = module(x) 2025-08-14T21:51:28.6521353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6521419Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6521636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6521701Z x = self.act1(x) 2025-08-14T21:51:28.6521704Z 2025-08-14T21:51:28.6521817Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6522027Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6522094Z return mod(*inputs) 2025-08-14T21:51:28.6522303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6522377Z y = self.forward_features(x) 2025-08-14T21:51:28.6522628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6522707Z yl = self.stages(x) 2025-08-14T21:51:28.6522983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6523066Z yl = self.stage3(xl) 2025-08-14T21:51:28.6523268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6523334Z x = module(x) 2025-08-14T21:51:28.6523544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6523614Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6523823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6523903Z x = self.conv2(x) 2025-08-14T21:51:28.6523910Z 2025-08-14T21:51:28.6524053Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6524280Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6524383Z return mod(*inputs) 2025-08-14T21:51:28.6524592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6524680Z y = self.forward_features(x) 2025-08-14T21:51:28.6524920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6524997Z yl = self.stages(x) 2025-08-14T21:51:28.6525209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6525291Z yl = self.stage3(xl) 2025-08-14T21:51:28.6525497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6525582Z x = module(x) 2025-08-14T21:51:28.6525781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6525862Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6526064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6526130Z x = self.act2(x) 2025-08-14T21:51:28.6526142Z 2025-08-14T21:51:28.6526250Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6526457Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6526534Z return mod(*inputs) 2025-08-14T21:51:28.6526729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6526803Z y = self.forward_features(x) 2025-08-14T21:51:28.6527041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6527110Z yl = self.stages(x) 2025-08-14T21:51:28.6527316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6527388Z yl = self.stage3(xl) 2025-08-14T21:51:28.6527583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6527655Z x = module(x) 2025-08-14T21:51:28.6527852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6527920Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6528132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6528199Z x = self.conv1(x) 2025-08-14T21:51:28.6528202Z 2025-08-14T21:51:28.6528317Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6528526Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6528597Z return mod(*inputs) 2025-08-14T21:51:28.6528825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6528904Z y = self.forward_features(x) 2025-08-14T21:51:28.6529135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6529214Z yl = self.stages(x) 2025-08-14T21:51:28.6529409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6529497Z yl = self.stage3(xl) 2025-08-14T21:51:28.6529698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6529761Z x = module(x) 2025-08-14T21:51:28.6529968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6530036Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6530239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6530330Z x = self.act1(x) 2025-08-14T21:51:28.6530349Z 2025-08-14T21:51:28.6530452Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6530652Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6530718Z return mod(*inputs) 2025-08-14T21:51:28.6530902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6530981Z y = self.forward_features(x) 2025-08-14T21:51:28.6531194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6531262Z yl = self.stages(x) 2025-08-14T21:51:28.6531459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6531527Z yl = self.stage3(xl) 2025-08-14T21:51:28.6531740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6531807Z x = module(x) 2025-08-14T21:51:28.6531994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6532067Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6532261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6532325Z x = self.conv2(x) 2025-08-14T21:51:28.6532328Z 2025-08-14T21:51:28.6532442Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6532644Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6532716Z return mod(*inputs) 2025-08-14T21:51:28.6532902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6532971Z y = self.forward_features(x) 2025-08-14T21:51:28.6533190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6533256Z yl = self.stages(x) 2025-08-14T21:51:28.6533436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6533509Z yl = self.stage3(xl) 2025-08-14T21:51:28.6533692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6533759Z x = module(x) 2025-08-14T21:51:28.6533947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6534011Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6534211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6534274Z x = self.act2(x) 2025-08-14T21:51:28.6534277Z 2025-08-14T21:51:28.6534380Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6534607Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6534676Z return mod(*inputs) 2025-08-14T21:51:28.6534870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6534942Z y = self.forward_features(x) 2025-08-14T21:51:28.6535154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6535224Z yl = self.stages(x) 2025-08-14T21:51:28.6535406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6535470Z yl = self.stage3(xl) 2025-08-14T21:51:28.6535661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6535722Z x = module(x) 2025-08-14T21:51:28.6535915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6535999Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6536193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6536282Z x = self.conv1(x) 2025-08-14T21:51:28.6536285Z 2025-08-14T21:51:28.6536386Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6536579Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6536654Z return mod(*inputs) 2025-08-14T21:51:28.6536842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6536920Z y = self.forward_features(x) 2025-08-14T21:51:28.6537132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6537197Z yl = self.stages(x) 2025-08-14T21:51:28.6537425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6537496Z yl = self.stage3(xl) 2025-08-14T21:51:28.6537683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6537754Z x = module(x) 2025-08-14T21:51:28.6537943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6538015Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6538207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6538270Z x = self.act1(x) 2025-08-14T21:51:28.6538273Z 2025-08-14T21:51:28.6538383Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6538582Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6538647Z return mod(*inputs) 2025-08-14T21:51:28.6538843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6538917Z y = self.forward_features(x) 2025-08-14T21:51:28.6539140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6539205Z yl = self.stages(x) 2025-08-14T21:51:28.6539386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6539459Z yl = self.stage3(xl) 2025-08-14T21:51:28.6539647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6539707Z x = module(x) 2025-08-14T21:51:28.6539902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6539967Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6540170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6540238Z x = self.conv2(x) 2025-08-14T21:51:28.6540242Z 2025-08-14T21:51:28.6540366Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6540573Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6540638Z return mod(*inputs) 2025-08-14T21:51:28.6540822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6540902Z y = self.forward_features(x) 2025-08-14T21:51:28.6541114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6541185Z yl = self.stages(x) 2025-08-14T21:51:28.6541369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6541434Z yl = self.stage3(xl) 2025-08-14T21:51:28.6541628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6541690Z x = module(x) 2025-08-14T21:51:28.6541900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6541992Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6542186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6542256Z x = self.act2(x) 2025-08-14T21:51:28.6542260Z 2025-08-14T21:51:28.6542364Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6542560Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6542631Z return mod(*inputs) 2025-08-14T21:51:28.6542815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6542889Z y = self.forward_features(x) 2025-08-14T21:51:28.6543131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6543200Z yl = self.stages(x) 2025-08-14T21:51:28.6543392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6543460Z yl = self.stage3(xl) 2025-08-14T21:51:28.6543646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6543713Z x = module(x) 2025-08-14T21:51:28.6543901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6543965Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6544166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6544229Z x = self.conv1(x) 2025-08-14T21:51:28.6544233Z 2025-08-14T21:51:28.6544341Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6544538Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6544761Z return mod(*inputs) 2025-08-14T21:51:28.6544971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6545044Z y = self.forward_features(x) 2025-08-14T21:51:28.6545258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6545333Z yl = self.stages(x) 2025-08-14T21:51:28.6545517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6545592Z yl = self.stage3(xl) 2025-08-14T21:51:28.6545778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6545838Z x = module(x) 2025-08-14T21:51:28.6546034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6546098Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6546345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6546421Z x = self.act1(x) 2025-08-14T21:51:28.6546426Z 2025-08-14T21:51:28.6546530Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6546734Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6546799Z return mod(*inputs) 2025-08-14T21:51:28.6546984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6547063Z y = self.forward_features(x) 2025-08-14T21:51:28.6547279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6547342Z yl = self.stages(x) 2025-08-14T21:51:28.6547547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6547613Z yl = self.stage3(xl) 2025-08-14T21:51:28.6547812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6547926Z x = module(x) 2025-08-14T21:51:28.6548116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6548187Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6548380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6548443Z x = self.conv2(x) 2025-08-14T21:51:28.6548446Z 2025-08-14T21:51:28.6548558Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6548752Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6548825Z return mod(*inputs) 2025-08-14T21:51:28.6549012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6549117Z y = self.forward_features(x) 2025-08-14T21:51:28.6549341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6549406Z yl = self.stages(x) 2025-08-14T21:51:28.6549590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6549662Z yl = self.stage3(xl) 2025-08-14T21:51:28.6549847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6549914Z x = module(x) 2025-08-14T21:51:28.6550098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.6550159Z y = f(x[j]) 2025-08-14T21:51:28.6550163Z 2025-08-14T21:51:28.6550275Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6550473Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6550540Z return mod(*inputs) 2025-08-14T21:51:28.6550736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6550808Z y = self.forward_features(x) 2025-08-14T21:51:28.6551027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6551091Z yl = self.stages(x) 2025-08-14T21:51:28.6551276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6551351Z yl = self.stage3(xl) 2025-08-14T21:51:28.6551536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6551598Z x = module(x) 2025-08-14T21:51:28.6551989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.6552056Z y = f(x[j]) 2025-08-14T21:51:28.6552060Z 2025-08-14T21:51:28.6552176Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6552403Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6552474Z return mod(*inputs) 2025-08-14T21:51:28.6552673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6552747Z y = self.forward_features(x) 2025-08-14T21:51:28.6552965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6553042Z yl = self.stages(x) 2025-08-14T21:51:28.6553230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6553305Z yl = self.stage3(xl) 2025-08-14T21:51:28.6553497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6553558Z x = module(x) 2025-08-14T21:51:28.6553758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.6553840Z y = f(x[j]) 2025-08-14T21:51:28.6553875Z 2025-08-14T21:51:28.6553979Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6554183Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6554249Z return mod(*inputs) 2025-08-14T21:51:28.6554443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6554513Z y = self.forward_features(x) 2025-08-14T21:51:28.6554725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6554796Z yl = self.stages(x) 2025-08-14T21:51:28.6554981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6555047Z yl = self.stage3(xl) 2025-08-14T21:51:28.6555260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6555326Z x = module(x) 2025-08-14T21:51:28.6555526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6555591Z y = y + f(x[j]) 2025-08-14T21:51:28.6555594Z 2025-08-14T21:51:28.6555704Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6555919Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6555987Z return mod(*inputs) 2025-08-14T21:51:28.6556193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6556276Z y = self.forward_features(x) 2025-08-14T21:51:28.6556503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6556579Z yl = self.stages(x) 2025-08-14T21:51:28.6556779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6556851Z yl = self.stage3(xl) 2025-08-14T21:51:28.6557068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6557131Z x = module(x) 2025-08-14T21:51:28.6557339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6557412Z y = y + f(x[j]) 2025-08-14T21:51:28.6557416Z 2025-08-14T21:51:28.6557526Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6557750Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6557819Z return mod(*inputs) 2025-08-14T21:51:28.6558027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6558110Z y = self.forward_features(x) 2025-08-14T21:51:28.6558359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6558432Z yl = self.stages(x) 2025-08-14T21:51:28.6558636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6558705Z yl = self.stage3(xl) 2025-08-14T21:51:28.6558921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6558986Z x = module(x) 2025-08-14T21:51:28.6559192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6559264Z y = y + f(x[j]) 2025-08-14T21:51:28.6559268Z 2025-08-14T21:51:28.6559377Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6559589Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6559665Z return mod(*inputs) 2025-08-14T21:51:28.6559875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6560006Z y = self.forward_features(x) 2025-08-14T21:51:28.6560232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6560301Z yl = self.stages(x) 2025-08-14T21:51:28.6560506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6560576Z yl = self.stage3(xl) 2025-08-14T21:51:28.6560782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6560854Z x = module(x) 2025-08-14T21:51:28.6561062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:51:28.6561151Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:51:28.6561155Z 2025-08-14T21:51:28.6561281Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6561491Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6561568Z return mod(*inputs) 2025-08-14T21:51:28.6561776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6561851Z y = self.forward_features(x) 2025-08-14T21:51:28.6562085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6562153Z yl = self.stages(x) 2025-08-14T21:51:28.6562352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6562422Z yl = self.stage3(xl) 2025-08-14T21:51:28.6562628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6562701Z x = module(x) 2025-08-14T21:51:28.6562966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6563043Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6563256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6563323Z x = self.conv1(x) 2025-08-14T21:51:28.6563326Z 2025-08-14T21:51:28.6563444Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6563661Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6563730Z return mod(*inputs) 2025-08-14T21:51:28.6563939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6564017Z y = self.forward_features(x) 2025-08-14T21:51:28.6564257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6564328Z yl = self.stages(x) 2025-08-14T21:51:28.6564529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6564635Z yl = self.stage3(xl) 2025-08-14T21:51:28.6564851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6564916Z x = module(x) 2025-08-14T21:51:28.6565122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6565190Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6565392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6565470Z x = self.act1(x) 2025-08-14T21:51:28.6565473Z 2025-08-14T21:51:28.6565583Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6565796Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6565867Z return mod(*inputs) 2025-08-14T21:51:28.6566066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6566172Z y = self.forward_features(x) 2025-08-14T21:51:28.6566419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6566494Z yl = self.stages(x) 2025-08-14T21:51:28.6566691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6566761Z yl = self.stage3(xl) 2025-08-14T21:51:28.6566964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6567028Z x = module(x) 2025-08-14T21:51:28.6567224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6567300Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6567523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6567594Z x = self.conv2(x) 2025-08-14T21:51:28.6567607Z 2025-08-14T21:51:28.6567718Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6567928Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6568004Z return mod(*inputs) 2025-08-14T21:51:28.6568206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6568280Z y = self.forward_features(x) 2025-08-14T21:51:28.6568519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6568586Z yl = self.stages(x) 2025-08-14T21:51:28.6568794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6568864Z yl = self.stage3(xl) 2025-08-14T21:51:28.6569065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6569138Z x = module(x) 2025-08-14T21:51:28.6569340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6569409Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6569625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6569690Z x = self.act2(x) 2025-08-14T21:51:28.6569694Z 2025-08-14T21:51:28.6569811Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6570018Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6570086Z return mod(*inputs) 2025-08-14T21:51:28.6570294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6570368Z y = self.forward_features(x) 2025-08-14T21:51:28.6570601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6570681Z yl = self.stages(x) 2025-08-14T21:51:28.6570903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6570986Z yl = self.stage3(xl) 2025-08-14T21:51:28.6571189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6571254Z x = module(x) 2025-08-14T21:51:28.6571462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6571530Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6571740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6571815Z x = self.conv1(x) 2025-08-14T21:51:28.6571819Z 2025-08-14T21:51:28.6571929Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6572149Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6572241Z return mod(*inputs) 2025-08-14T21:51:28.6572440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6572542Z y = self.forward_features(x) 2025-08-14T21:51:28.6572766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6572834Z yl = self.stages(x) 2025-08-14T21:51:28.6573033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6573103Z yl = self.stage3(xl) 2025-08-14T21:51:28.6573304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6573367Z x = module(x) 2025-08-14T21:51:28.6573563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6573659Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6573865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6573931Z x = self.act1(x) 2025-08-14T21:51:28.6573935Z 2025-08-14T21:51:28.6574050Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6574269Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6574345Z return mod(*inputs) 2025-08-14T21:51:28.6574552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6574626Z y = self.forward_features(x) 2025-08-14T21:51:28.6574858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6574928Z yl = self.stages(x) 2025-08-14T21:51:28.6575122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6575200Z yl = self.stage3(xl) 2025-08-14T21:51:28.6575399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6575473Z x = module(x) 2025-08-14T21:51:28.6575685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6575751Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6575970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6576036Z x = self.conv2(x) 2025-08-14T21:51:28.6576039Z 2025-08-14T21:51:28.6576147Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6576372Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6576441Z return mod(*inputs) 2025-08-14T21:51:28.6576656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6576732Z y = self.forward_features(x) 2025-08-14T21:51:28.6576983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6577063Z yl = self.stages(x) 2025-08-14T21:51:28.6577259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6577329Z yl = self.stage3(xl) 2025-08-14T21:51:28.6577534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6577596Z x = module(x) 2025-08-14T21:51:28.6577792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6577859Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6578055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6578126Z x = self.act2(x) 2025-08-14T21:51:28.6578129Z 2025-08-14T21:51:28.6578235Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6578454Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6578549Z return mod(*inputs) 2025-08-14T21:51:28.6578738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6578818Z y = self.forward_features(x) 2025-08-14T21:51:28.6579033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6579099Z yl = self.stages(x) 2025-08-14T21:51:28.6579291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6579358Z yl = self.stage3(xl) 2025-08-14T21:51:28.6579545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6579615Z x = module(x) 2025-08-14T21:51:28.6579822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6579899Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6580093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6580157Z x = self.conv1(x) 2025-08-14T21:51:28.6580160Z 2025-08-14T21:51:28.6580271Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6580466Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6580532Z return mod(*inputs) 2025-08-14T21:51:28.6580736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6580807Z y = self.forward_features(x) 2025-08-14T21:51:28.6581028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6581093Z yl = self.stages(x) 2025-08-14T21:51:28.6581281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6581356Z yl = self.stage3(xl) 2025-08-14T21:51:28.6581547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6581607Z x = module(x) 2025-08-14T21:51:28.6581800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6581863Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6582062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6582125Z x = self.act1(x) 2025-08-14T21:51:28.6582128Z 2025-08-14T21:51:28.6582230Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6582433Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6582499Z return mod(*inputs) 2025-08-14T21:51:28.6582705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6582788Z y = self.forward_features(x) 2025-08-14T21:51:28.6583004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6583078Z yl = self.stages(x) 2025-08-14T21:51:28.6583263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6583330Z yl = self.stage3(xl) 2025-08-14T21:51:28.6583524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6583586Z x = module(x) 2025-08-14T21:51:28.6583781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6583854Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6584049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6584149Z x = self.conv2(x) 2025-08-14T21:51:28.6584154Z 2025-08-14T21:51:28.6584275Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6584470Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6584543Z return mod(*inputs) 2025-08-14T21:51:28.6584729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6584799Z y = self.forward_features(x) 2025-08-14T21:51:28.6585023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6585087Z yl = self.stages(x) 2025-08-14T21:51:28.6585278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6585342Z yl = self.stage3(xl) 2025-08-14T21:51:28.6585547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6585619Z x = module(x) 2025-08-14T21:51:28.6585811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6585874Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6586073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6586136Z x = self.act2(x) 2025-08-14T21:51:28.6586139Z 2025-08-14T21:51:28.6586249Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6586443Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6586508Z return mod(*inputs) 2025-08-14T21:51:28.6586699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6586769Z y = self.forward_features(x) 2025-08-14T21:51:28.6586985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6587059Z yl = self.stages(x) 2025-08-14T21:51:28.6587243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6587315Z yl = self.stage3(xl) 2025-08-14T21:51:28.6587498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6587557Z x = module(x) 2025-08-14T21:51:28.6587749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6587813Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6588004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6588076Z x = self.conv1(x) 2025-08-14T21:51:28.6588088Z 2025-08-14T21:51:28.6588189Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6588384Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6588464Z return mod(*inputs) 2025-08-14T21:51:28.6588642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6588719Z y = self.forward_features(x) 2025-08-14T21:51:28.6588923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6588984Z yl = self.stages(x) 2025-08-14T21:51:28.6589167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6589231Z yl = self.stage3(xl) 2025-08-14T21:51:28.6589413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6589472Z x = module(x) 2025-08-14T21:51:28.6589649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6589720Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6589926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6590009Z x = self.act1(x) 2025-08-14T21:51:28.6590013Z 2025-08-14T21:51:28.6590119Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6590307Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6590376Z return mod(*inputs) 2025-08-14T21:51:28.6590554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6590621Z y = self.forward_features(x) 2025-08-14T21:51:28.6590835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6590898Z yl = self.stages(x) 2025-08-14T21:51:28.6591097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6591173Z yl = self.stage3(xl) 2025-08-14T21:51:28.6591358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6591429Z x = module(x) 2025-08-14T21:51:28.6591613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6591676Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6591874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6591937Z x = self.conv2(x) 2025-08-14T21:51:28.6591939Z 2025-08-14T21:51:28.6592042Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6592243Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6592306Z return mod(*inputs) 2025-08-14T21:51:28.6592499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6592570Z y = self.forward_features(x) 2025-08-14T21:51:28.6592785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6592867Z yl = self.stages(x) 2025-08-14T21:51:28.6593044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6593106Z yl = self.stage3(xl) 2025-08-14T21:51:28.6593296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6593354Z x = module(x) 2025-08-14T21:51:28.6593538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6593598Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6593783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6593848Z x = self.act2(x) 2025-08-14T21:51:28.6593853Z 2025-08-14T21:51:28.6593953Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6594159Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6594234Z return mod(*inputs) 2025-08-14T21:51:28.6594415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6594492Z y = self.forward_features(x) 2025-08-14T21:51:28.6594700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6594762Z yl = self.stages(x) 2025-08-14T21:51:28.6594945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6595008Z yl = self.stage3(xl) 2025-08-14T21:51:28.6595187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6595255Z x = module(x) 2025-08-14T21:51:28.6595434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.6595534Z y = f(x[j]) 2025-08-14T21:51:28.6595537Z 2025-08-14T21:51:28.6595636Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6595825Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6595895Z return mod(*inputs) 2025-08-14T21:51:28.6596072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6596140Z y = self.forward_features(x) 2025-08-14T21:51:28.6596353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6596414Z yl = self.stages(x) 2025-08-14T21:51:28.6596597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6596677Z yl = self.stage3(xl) 2025-08-14T21:51:28.6596855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6596922Z x = module(x) 2025-08-14T21:51:28.6597098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6597157Z y = y + f(x[j]) 2025-08-14T21:51:28.6597160Z 2025-08-14T21:51:28.6597265Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6597451Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6597519Z return mod(*inputs) 2025-08-14T21:51:28.6597692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6597758Z y = self.forward_features(x) 2025-08-14T21:51:28.6597967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6598028Z yl = self.stages(x) 2025-08-14T21:51:28.6598205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6598277Z yl = self.stage3(xl) 2025-08-14T21:51:28.6598451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6598515Z x = module(x) 2025-08-14T21:51:28.6598695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6598753Z y = y + f(x[j]) 2025-08-14T21:51:28.6598756Z 2025-08-14T21:51:28.6598863Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6599053Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6599115Z return mod(*inputs) 2025-08-14T21:51:28.6599309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6599377Z y = self.forward_features(x) 2025-08-14T21:51:28.6599606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6599670Z yl = self.stages(x) 2025-08-14T21:51:28.6599845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6599916Z yl = self.stage3(xl) 2025-08-14T21:51:28.6600098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6600158Z x = module(x) 2025-08-14T21:51:28.6600349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:51:28.6600426Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:51:28.6600429Z 2025-08-14T21:51:28.6600538Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6600732Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6600817Z return mod(*inputs) 2025-08-14T21:51:28.6601012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6601100Z y = self.forward_features(x) 2025-08-14T21:51:28.6601309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6601380Z yl = self.stages(x) 2025-08-14T21:51:28.6601561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6601631Z yl = self.stage3(xl) 2025-08-14T21:51:28.6601813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6601872Z x = module(x) 2025-08-14T21:51:28.6602062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6602125Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6602331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6602406Z x = self.conv1(x) 2025-08-14T21:51:28.6602409Z 2025-08-14T21:51:28.6602510Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6602713Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6602859Z return mod(*inputs) 2025-08-14T21:51:28.6603052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6603133Z y = self.forward_features(x) 2025-08-14T21:51:28.6603341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6603407Z yl = self.stages(x) 2025-08-14T21:51:28.6603594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6603670Z yl = self.stage3(xl) 2025-08-14T21:51:28.6603885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6603954Z x = module(x) 2025-08-14T21:51:28.6604170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6604252Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6604470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6604540Z x = self.act1(x) 2025-08-14T21:51:28.6604553Z 2025-08-14T21:51:28.6604664Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6604874Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6604951Z return mod(*inputs) 2025-08-14T21:51:28.6605149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6605228Z y = self.forward_features(x) 2025-08-14T21:51:28.6605496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6605571Z yl = self.stages(x) 2025-08-14T21:51:28.6605773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6605853Z yl = self.stage3(xl) 2025-08-14T21:51:28.6606056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6606131Z x = module(x) 2025-08-14T21:51:28.6606335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6606405Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6606624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6606694Z x = self.conv2(x) 2025-08-14T21:51:28.6606697Z 2025-08-14T21:51:28.6606812Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6607057Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6607147Z return mod(*inputs) 2025-08-14T21:51:28.6607359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6607436Z y = self.forward_features(x) 2025-08-14T21:51:28.6607672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6607753Z yl = self.stages(x) 2025-08-14T21:51:28.6607954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6608027Z yl = self.stage3(xl) 2025-08-14T21:51:28.6608238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6608305Z x = module(x) 2025-08-14T21:51:28.6608536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6608612Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6608824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6608901Z x = self.act2(x) 2025-08-14T21:51:28.6608904Z 2025-08-14T21:51:28.6609015Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6609236Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6609305Z return mod(*inputs) 2025-08-14T21:51:28.6609509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6609594Z y = self.forward_features(x) 2025-08-14T21:51:28.6609829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6609898Z yl = self.stages(x) 2025-08-14T21:51:28.6610108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6610182Z yl = self.stage3(xl) 2025-08-14T21:51:28.6610387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6610460Z x = module(x) 2025-08-14T21:51:28.6610662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6610739Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6610946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6611014Z x = self.conv1(x) 2025-08-14T21:51:28.6611017Z 2025-08-14T21:51:28.6611134Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6611344Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6611422Z return mod(*inputs) 2025-08-14T21:51:28.6611623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6611758Z y = self.forward_features(x) 2025-08-14T21:51:28.6612005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6612075Z yl = self.stages(x) 2025-08-14T21:51:28.6612279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6612357Z yl = self.stage3(xl) 2025-08-14T21:51:28.6612564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6612628Z x = module(x) 2025-08-14T21:51:28.6612839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6612907Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6613127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6613236Z x = self.act1(x) 2025-08-14T21:51:28.6613239Z 2025-08-14T21:51:28.6613340Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6613556Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6613619Z return mod(*inputs) 2025-08-14T21:51:28.6613807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6613877Z y = self.forward_features(x) 2025-08-14T21:51:28.6614091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6614163Z yl = self.stages(x) 2025-08-14T21:51:28.6614346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6614412Z yl = self.stage3(xl) 2025-08-14T21:51:28.6614624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6614688Z x = module(x) 2025-08-14T21:51:28.6614876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6614950Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6615142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6615214Z x = self.conv2(x) 2025-08-14T21:51:28.6615217Z 2025-08-14T21:51:28.6615320Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6615519Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6615592Z return mod(*inputs) 2025-08-14T21:51:28.6615781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6615859Z y = self.forward_features(x) 2025-08-14T21:51:28.6616079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6616147Z yl = self.stages(x) 2025-08-14T21:51:28.6616343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6616409Z yl = self.stage3(xl) 2025-08-14T21:51:28.6616597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6616666Z x = module(x) 2025-08-14T21:51:28.6616854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6616918Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6617124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6617186Z x = self.act2(x) 2025-08-14T21:51:28.6617189Z 2025-08-14T21:51:28.6617298Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6617492Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6617575Z return mod(*inputs) 2025-08-14T21:51:28.6617765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6617835Z y = self.forward_features(x) 2025-08-14T21:51:28.6618049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6618113Z yl = self.stages(x) 2025-08-14T21:51:28.6618291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6618361Z yl = self.stage3(xl) 2025-08-14T21:51:28.6618544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6618604Z x = module(x) 2025-08-14T21:51:28.6618791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6618855Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6619069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6619158Z x = self.conv1(x) 2025-08-14T21:51:28.6619162Z 2025-08-14T21:51:28.6619264Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6619468Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6619533Z return mod(*inputs) 2025-08-14T21:51:28.6619713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6619791Z y = self.forward_features(x) 2025-08-14T21:51:28.6620000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6620071Z yl = self.stages(x) 2025-08-14T21:51:28.6620249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6620332Z yl = self.stage3(xl) 2025-08-14T21:51:28.6620523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6620585Z x = module(x) 2025-08-14T21:51:28.6620767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6620838Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6621022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6621082Z x = self.act1(x) 2025-08-14T21:51:28.6621093Z 2025-08-14T21:51:28.6621193Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6621387Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6621459Z return mod(*inputs) 2025-08-14T21:51:28.6621640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6621709Z y = self.forward_features(x) 2025-08-14T21:51:28.6621932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6621995Z yl = self.stages(x) 2025-08-14T21:51:28.6622180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6622245Z yl = self.stage3(xl) 2025-08-14T21:51:28.6622427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6622493Z x = module(x) 2025-08-14T21:51:28.6622675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6622735Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6622927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6622989Z x = self.conv2(x) 2025-08-14T21:51:28.6622992Z 2025-08-14T21:51:28.6623099Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6623313Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6623380Z return mod(*inputs) 2025-08-14T21:51:28.6623565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6623633Z y = self.forward_features(x) 2025-08-14T21:51:28.6623841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6623910Z yl = self.stages(x) 2025-08-14T21:51:28.6624087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6624156Z yl = self.stage3(xl) 2025-08-14T21:51:28.6624337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6624396Z x = module(x) 2025-08-14T21:51:28.6624586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6624683Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6624869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6624939Z x = self.act2(x) 2025-08-14T21:51:28.6624943Z 2025-08-14T21:51:28.6625043Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6625242Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6625306Z return mod(*inputs) 2025-08-14T21:51:28.6625484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6625561Z y = self.forward_features(x) 2025-08-14T21:51:28.6625769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6625857Z yl = self.stages(x) 2025-08-14T21:51:28.6626048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6626114Z yl = self.stage3(xl) 2025-08-14T21:51:28.6626303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6626362Z x = module(x) 2025-08-14T21:51:28.6626542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6626611Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6626797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6626858Z x = self.conv1(x) 2025-08-14T21:51:28.6626861Z 2025-08-14T21:51:28.6626968Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6627160Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6627233Z return mod(*inputs) 2025-08-14T21:51:28.6627413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6627484Z y = self.forward_features(x) 2025-08-14T21:51:28.6627700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6627763Z yl = self.stages(x) 2025-08-14T21:51:28.6627942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6628022Z yl = self.stage3(xl) 2025-08-14T21:51:28.6628201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6628268Z x = module(x) 2025-08-14T21:51:28.6628454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6628516Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6628711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6628776Z x = self.act1(x) 2025-08-14T21:51:28.6628798Z 2025-08-14T21:51:28.6628901Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6629098Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6629162Z return mod(*inputs) 2025-08-14T21:51:28.6629350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6629419Z y = self.forward_features(x) 2025-08-14T21:51:28.6629628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6629698Z yl = self.stages(x) 2025-08-14T21:51:28.6629885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6629949Z yl = self.stage3(xl) 2025-08-14T21:51:28.6630137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6630215Z x = module(x) 2025-08-14T21:51:28.6630423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6630485Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6630674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6630744Z x = self.conv2(x) 2025-08-14T21:51:28.6630747Z 2025-08-14T21:51:28.6630847Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6631038Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6631110Z return mod(*inputs) 2025-08-14T21:51:28.6631294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6631370Z y = self.forward_features(x) 2025-08-14T21:51:28.6631600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6631667Z yl = self.stages(x) 2025-08-14T21:51:28.6631855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6631920Z yl = self.stage3(xl) 2025-08-14T21:51:28.6632102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6632170Z x = module(x) 2025-08-14T21:51:28.6632351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6632421Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6632606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6632668Z x = self.act2(x) 2025-08-14T21:51:28.6632671Z 2025-08-14T21:51:28.6632779Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6632976Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6633042Z return mod(*inputs) 2025-08-14T21:51:28.6633233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6633304Z y = self.forward_features(x) 2025-08-14T21:51:28.6633527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6633590Z yl = self.stages(x) 2025-08-14T21:51:28.6633767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6633838Z yl = self.stage3(xl) 2025-08-14T21:51:28.6634019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6634078Z x = module(x) 2025-08-14T21:51:28.6634267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6634327Z y = y + f(x[j]) 2025-08-14T21:51:28.6634332Z 2025-08-14T21:51:28.6634457Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6634653Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6634717Z return mod(*inputs) 2025-08-14T21:51:28.6634902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6634971Z y = self.forward_features(x) 2025-08-14T21:51:28.6635180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6635252Z yl = self.stages(x) 2025-08-14T21:51:28.6635437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6635510Z yl = self.stage3(xl) 2025-08-14T21:51:28.6635698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6635781Z x = module(x) 2025-08-14T21:51:28.6635982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6636065Z y = y + f(x[j]) 2025-08-14T21:51:28.6636069Z 2025-08-14T21:51:28.6636172Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6636376Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6636441Z return mod(*inputs) 2025-08-14T21:51:28.6636637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6636708Z y = self.forward_features(x) 2025-08-14T21:51:28.6636923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6636995Z yl = self.stages(x) 2025-08-14T21:51:28.6637198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6637267Z yl = self.stage3(xl) 2025-08-14T21:51:28.6637467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6637529Z x = module(x) 2025-08-14T21:51:28.6637720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6637786Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6637977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6638047Z x = self.conv1(x) 2025-08-14T21:51:28.6638050Z 2025-08-14T21:51:28.6638153Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6638352Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6638425Z return mod(*inputs) 2025-08-14T21:51:28.6638614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6638694Z y = self.forward_features(x) 2025-08-14T21:51:28.6638911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6638978Z yl = self.stages(x) 2025-08-14T21:51:28.6639171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6639237Z yl = self.stage3(xl) 2025-08-14T21:51:28.6639427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6639497Z x = module(x) 2025-08-14T21:51:28.6639685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6639755Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6639945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6640010Z x = self.act1(x) 2025-08-14T21:51:28.6640013Z 2025-08-14T21:51:28.6640145Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6640346Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6640412Z return mod(*inputs) 2025-08-14T21:51:28.6640608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6640680Z y = self.forward_features(x) 2025-08-14T21:51:28.6640900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6640965Z yl = self.stages(x) 2025-08-14T21:51:28.6641148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6641222Z yl = self.stage3(xl) 2025-08-14T21:51:28.6641412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6641475Z x = module(x) 2025-08-14T21:51:28.6641687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6641774Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6641974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6642038Z x = self.conv2(x) 2025-08-14T21:51:28.6642041Z 2025-08-14T21:51:28.6642149Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6642365Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6642435Z return mod(*inputs) 2025-08-14T21:51:28.6642636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6642720Z y = self.forward_features(x) 2025-08-14T21:51:28.6643059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6643146Z yl = self.stages(x) 2025-08-14T21:51:28.6643347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6643422Z yl = self.stage3(xl) 2025-08-14T21:51:28.6643638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6643706Z x = module(x) 2025-08-14T21:51:28.6643921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6644001Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6644209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6644287Z x = self.act2(x) 2025-08-14T21:51:28.6644291Z 2025-08-14T21:51:28.6644405Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6644860Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6644950Z return mod(*inputs) 2025-08-14T21:51:28.6645153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6645231Z y = self.forward_features(x) 2025-08-14T21:51:28.6645467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6645537Z yl = self.stages(x) 2025-08-14T21:51:28.6645740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6645813Z yl = self.stage3(xl) 2025-08-14T21:51:28.6646014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6646089Z x = module(x) 2025-08-14T21:51:28.6646284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6646352Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6646568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6646700Z x = self.conv1(x) 2025-08-14T21:51:28.6646706Z 2025-08-14T21:51:28.6646826Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6647033Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6647102Z return mod(*inputs) 2025-08-14T21:51:28.6647304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6647377Z y = self.forward_features(x) 2025-08-14T21:51:28.6647603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6647679Z yl = self.stages(x) 2025-08-14T21:51:28.6647873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6647953Z yl = self.stage3(xl) 2025-08-14T21:51:28.6648155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6648294Z x = module(x) 2025-08-14T21:51:28.6648509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6648574Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6648763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6648833Z x = self.act1(x) 2025-08-14T21:51:28.6648836Z 2025-08-14T21:51:28.6648939Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6649141Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6649204Z return mod(*inputs) 2025-08-14T21:51:28.6649388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6649491Z y = self.forward_features(x) 2025-08-14T21:51:28.6649711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6649780Z yl = self.stages(x) 2025-08-14T21:51:28.6649970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6650037Z yl = self.stage3(xl) 2025-08-14T21:51:28.6650230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6650291Z x = module(x) 2025-08-14T21:51:28.6650479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6650551Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6650747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6650810Z x = self.conv2(x) 2025-08-14T21:51:28.6650813Z 2025-08-14T21:51:28.6650924Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6651125Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6651198Z return mod(*inputs) 2025-08-14T21:51:28.6651383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6651453Z y = self.forward_features(x) 2025-08-14T21:51:28.6651677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6651741Z yl = self.stages(x) 2025-08-14T21:51:28.6651923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6651999Z yl = self.stage3(xl) 2025-08-14T21:51:28.6652189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6652259Z x = module(x) 2025-08-14T21:51:28.6652447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6652513Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6652727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6652794Z x = self.act2(x) 2025-08-14T21:51:28.6652797Z 2025-08-14T21:51:28.6652899Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6653106Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6653171Z return mod(*inputs) 2025-08-14T21:51:28.6653364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6653436Z y = self.forward_features(x) 2025-08-14T21:51:28.6653648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6653724Z yl = self.stages(x) 2025-08-14T21:51:28.6653917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6654005Z yl = self.stage3(xl) 2025-08-14T21:51:28.6654216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6654278Z x = module(x) 2025-08-14T21:51:28.6654470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6654534Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6654724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6654795Z x = self.conv1(x) 2025-08-14T21:51:28.6654799Z 2025-08-14T21:51:28.6654900Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6655094Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6655166Z return mod(*inputs) 2025-08-14T21:51:28.6655367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6655451Z y = self.forward_features(x) 2025-08-14T21:51:28.6655667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6655731Z yl = self.stages(x) 2025-08-14T21:51:28.6655925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6655991Z yl = self.stage3(xl) 2025-08-14T21:51:28.6656177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6656246Z x = module(x) 2025-08-14T21:51:28.6656433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6656503Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6656694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6656758Z x = self.act1(x) 2025-08-14T21:51:28.6656763Z 2025-08-14T21:51:28.6656874Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6657071Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6657137Z return mod(*inputs) 2025-08-14T21:51:28.6657331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6657401Z y = self.forward_features(x) 2025-08-14T21:51:28.6657622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6657686Z yl = self.stages(x) 2025-08-14T21:51:28.6657871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6657945Z yl = self.stage3(xl) 2025-08-14T21:51:28.6658135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6658199Z x = module(x) 2025-08-14T21:51:28.6658413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6658481Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6658683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6658748Z x = self.conv2(x) 2025-08-14T21:51:28.6658751Z 2025-08-14T21:51:28.6658852Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6659058Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6659124Z return mod(*inputs) 2025-08-14T21:51:28.6659311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6659391Z y = self.forward_features(x) 2025-08-14T21:51:28.6659607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6659697Z yl = self.stages(x) 2025-08-14T21:51:28.6659884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6659967Z yl = self.stage3(xl) 2025-08-14T21:51:28.6660163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6660224Z x = module(x) 2025-08-14T21:51:28.6660413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6660484Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6660675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6660743Z x = self.act2(x) 2025-08-14T21:51:28.6660746Z 2025-08-14T21:51:28.6660849Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6661071Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6661148Z return mod(*inputs) 2025-08-14T21:51:28.6661337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6661410Z y = self.forward_features(x) 2025-08-14T21:51:28.6661630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6661693Z yl = self.stages(x) 2025-08-14T21:51:28.6661885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6661950Z yl = self.stage3(xl) 2025-08-14T21:51:28.6662140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6662208Z x = module(x) 2025-08-14T21:51:28.6662395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6662459Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6662657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6662724Z x = self.conv1(x) 2025-08-14T21:51:28.6662727Z 2025-08-14T21:51:28.6662836Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6663034Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6663098Z return mod(*inputs) 2025-08-14T21:51:28.6663290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6663361Z y = self.forward_features(x) 2025-08-14T21:51:28.6663573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6663644Z yl = self.stages(x) 2025-08-14T21:51:28.6663826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6663901Z yl = self.stage3(xl) 2025-08-14T21:51:28.6664106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6664172Z x = module(x) 2025-08-14T21:51:28.6664369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6664433Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6664628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6664699Z x = self.act1(x) 2025-08-14T21:51:28.6664702Z 2025-08-14T21:51:28.6664804Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6665011Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6665077Z return mod(*inputs) 2025-08-14T21:51:28.6665262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6665344Z y = self.forward_features(x) 2025-08-14T21:51:28.6665584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6665667Z yl = self.stages(x) 2025-08-14T21:51:28.6665860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6665927Z yl = self.stage3(xl) 2025-08-14T21:51:28.6666121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6666181Z x = module(x) 2025-08-14T21:51:28.6666369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6666441Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6666634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6666697Z x = self.conv2(x) 2025-08-14T21:51:28.6666709Z 2025-08-14T21:51:28.6666831Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6667033Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6667109Z return mod(*inputs) 2025-08-14T21:51:28.6667297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6667367Z y = self.forward_features(x) 2025-08-14T21:51:28.6667595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6667657Z yl = self.stages(x) 2025-08-14T21:51:28.6667846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6667909Z yl = self.stage3(xl) 2025-08-14T21:51:28.6668093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6668159Z x = module(x) 2025-08-14T21:51:28.6668342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.6668404Z y = f(x[j]) 2025-08-14T21:51:28.6668408Z 2025-08-14T21:51:28.6668515Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6668706Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6668779Z return mod(*inputs) 2025-08-14T21:51:28.6668963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6669031Z y = self.forward_features(x) 2025-08-14T21:51:28.6669248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6669310Z yl = self.stages(x) 2025-08-14T21:51:28.6669493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6669565Z yl = self.stage3(xl) 2025-08-14T21:51:28.6669767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6669830Z x = module(x) 2025-08-14T21:51:28.6670023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.6670082Z y = f(x[j]) 2025-08-14T21:51:28.6670085Z 2025-08-14T21:51:28.6670194Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6670387Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6670451Z return mod(*inputs) 2025-08-14T21:51:28.6670640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6670709Z y = self.forward_features(x) 2025-08-14T21:51:28.6670925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6670987Z yl = self.stages(x) 2025-08-14T21:51:28.6671170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6671288Z yl = self.stage3(xl) 2025-08-14T21:51:28.6671477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6671537Z x = module(x) 2025-08-14T21:51:28.6671731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.6671790Z y = f(x[j]) 2025-08-14T21:51:28.6671793Z 2025-08-14T21:51:28.6671899Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6672097Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6672161Z return mod(*inputs) 2025-08-14T21:51:28.6672354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6672421Z y = self.forward_features(x) 2025-08-14T21:51:28.6672653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6672727Z yl = self.stages(x) 2025-08-14T21:51:28.6672909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6672981Z yl = self.stage3(xl) 2025-08-14T21:51:28.6673162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6673219Z x = module(x) 2025-08-14T21:51:28.6673406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6673466Z y = y + f(x[j]) 2025-08-14T21:51:28.6673469Z 2025-08-14T21:51:28.6673568Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6673767Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6673830Z return mod(*inputs) 2025-08-14T21:51:28.6674018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6674090Z y = self.forward_features(x) 2025-08-14T21:51:28.6674297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6674365Z yl = self.stages(x) 2025-08-14T21:51:28.6674545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6674611Z yl = self.stage3(xl) 2025-08-14T21:51:28.6674800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6674859Z x = module(x) 2025-08-14T21:51:28.6675048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6675107Z y = y + f(x[j]) 2025-08-14T21:51:28.6675110Z 2025-08-14T21:51:28.6675212Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6675427Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6675494Z return mod(*inputs) 2025-08-14T21:51:28.6675734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6675812Z y = self.forward_features(x) 2025-08-14T21:51:28.6676021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6676093Z yl = self.stages(x) 2025-08-14T21:51:28.6676277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6676341Z yl = self.stage3(xl) 2025-08-14T21:51:28.6676532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6676590Z x = module(x) 2025-08-14T21:51:28.6676778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6676867Z y = y + f(x[j]) 2025-08-14T21:51:28.6676885Z 2025-08-14T21:51:28.6676988Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6677196Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6677262Z return mod(*inputs) 2025-08-14T21:51:28.6677447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6677527Z y = self.forward_features(x) 2025-08-14T21:51:28.6677740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6677806Z yl = self.stages(x) 2025-08-14T21:51:28.6677997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6678065Z yl = self.stage3(xl) 2025-08-14T21:51:28.6678272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6678336Z x = module(x) 2025-08-14T21:51:28.6678518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:51:28.6678600Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:51:28.6678604Z 2025-08-14T21:51:28.6678703Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6678895Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6678966Z return mod(*inputs) 2025-08-14T21:51:28.6679147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6679221Z y = self.forward_features(x) 2025-08-14T21:51:28.6679429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6679495Z yl = self.stages(x) 2025-08-14T21:51:28.6679682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6679750Z yl = self.stage4(xl) 2025-08-14T21:51:28.6679929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6679996Z x = module(x) 2025-08-14T21:51:28.6680178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6680249Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6680435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6680498Z x = self.conv1(x) 2025-08-14T21:51:28.6680500Z 2025-08-14T21:51:28.6680607Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6680800Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6680863Z return mod(*inputs) 2025-08-14T21:51:28.6681070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6681143Z y = self.forward_features(x) 2025-08-14T21:51:28.6681358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6681421Z yl = self.stages(x) 2025-08-14T21:51:28.6681601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6681673Z yl = self.stage4(xl) 2025-08-14T21:51:28.6681854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6681912Z x = module(x) 2025-08-14T21:51:28.6682103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6682165Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6682359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6682442Z x = self.act1(x) 2025-08-14T21:51:28.6682446Z 2025-08-14T21:51:28.6682580Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6682870Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6682948Z return mod(*inputs) 2025-08-14T21:51:28.6683150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6683234Z y = self.forward_features(x) 2025-08-14T21:51:28.6683463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6683539Z yl = self.stages(x) 2025-08-14T21:51:28.6683735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6683805Z yl = self.stage4(xl) 2025-08-14T21:51:28.6684038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6684107Z x = module(x) 2025-08-14T21:51:28.6684317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6684393Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6684585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6684658Z x = self.conv2(x) 2025-08-14T21:51:28.6684661Z 2025-08-14T21:51:28.6684763Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6684964Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6685039Z return mod(*inputs) 2025-08-14T21:51:28.6685236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6685309Z y = self.forward_features(x) 2025-08-14T21:51:28.6685544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6685614Z yl = self.stages(x) 2025-08-14T21:51:28.6685817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6685885Z yl = self.stage4(xl) 2025-08-14T21:51:28.6686081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6686154Z x = module(x) 2025-08-14T21:51:28.6686352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6686418Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6686626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6686692Z x = self.act2(x) 2025-08-14T21:51:28.6686695Z 2025-08-14T21:51:28.6686809Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6687021Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6687121Z return mod(*inputs) 2025-08-14T21:51:28.6687327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6687401Z y = self.forward_features(x) 2025-08-14T21:51:28.6687627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6687700Z yl = self.stages(x) 2025-08-14T21:51:28.6687892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6687969Z yl = self.stage4(xl) 2025-08-14T21:51:28.6688164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6688226Z x = module(x) 2025-08-14T21:51:28.6688427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6688495Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6688722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6688816Z x = self.conv1(x) 2025-08-14T21:51:28.6688819Z 2025-08-14T21:51:28.6688928Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6689143Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6689212Z return mod(*inputs) 2025-08-14T21:51:28.6689412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6689497Z y = self.forward_features(x) 2025-08-14T21:51:28.6689725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6689794Z yl = self.stages(x) 2025-08-14T21:51:28.6690017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6690089Z yl = self.stage4(xl) 2025-08-14T21:51:28.6690298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6690364Z x = module(x) 2025-08-14T21:51:28.6690560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6690636Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6690838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6690904Z x = self.act1(x) 2025-08-14T21:51:28.6690907Z 2025-08-14T21:51:28.6691026Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6691233Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6691308Z return mod(*inputs) 2025-08-14T21:51:28.6691508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6691581Z y = self.forward_features(x) 2025-08-14T21:51:28.6691821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6691891Z yl = self.stages(x) 2025-08-14T21:51:28.6692087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6692165Z yl = self.stage4(xl) 2025-08-14T21:51:28.6692361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6692433Z x = module(x) 2025-08-14T21:51:28.6692629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6692695Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6692904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6692970Z x = self.conv2(x) 2025-08-14T21:51:28.6692975Z 2025-08-14T21:51:28.6693083Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6693333Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6693401Z return mod(*inputs) 2025-08-14T21:51:28.6693596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6693669Z y = self.forward_features(x) 2025-08-14T21:51:28.6693884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6693956Z yl = self.stages(x) 2025-08-14T21:51:28.6694139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6694206Z yl = self.stage4(xl) 2025-08-14T21:51:28.6694399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6694460Z x = module(x) 2025-08-14T21:51:28.6694655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6694753Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6694950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6695021Z x = self.act2(x) 2025-08-14T21:51:28.6695024Z 2025-08-14T21:51:28.6695128Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6695329Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6695402Z return mod(*inputs) 2025-08-14T21:51:28.6695593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6695673Z y = self.forward_features(x) 2025-08-14T21:51:28.6695893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6695974Z yl = self.stages(x) 2025-08-14T21:51:28.6696170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6696238Z yl = self.stage4(xl) 2025-08-14T21:51:28.6696420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6696487Z x = module(x) 2025-08-14T21:51:28.6696672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6696743Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6696932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6696995Z x = self.conv1(x) 2025-08-14T21:51:28.6696998Z 2025-08-14T21:51:28.6697107Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6697300Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6697366Z return mod(*inputs) 2025-08-14T21:51:28.6697560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6697631Z y = self.forward_features(x) 2025-08-14T21:51:28.6697851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6697916Z yl = self.stages(x) 2025-08-14T21:51:28.6698100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6698173Z yl = self.stage4(xl) 2025-08-14T21:51:28.6698359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6698418Z x = module(x) 2025-08-14T21:51:28.6698610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6698672Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6698872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6698955Z x = self.act1(x) 2025-08-14T21:51:28.6698961Z 2025-08-14T21:51:28.6699064Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6699264Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6699329Z return mod(*inputs) 2025-08-14T21:51:28.6699516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6699597Z y = self.forward_features(x) 2025-08-14T21:51:28.6699808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6699882Z yl = self.stages(x) 2025-08-14T21:51:28.6700063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6700128Z yl = self.stage4(xl) 2025-08-14T21:51:28.6700320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6700401Z x = module(x) 2025-08-14T21:51:28.6700603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6700674Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6700866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6700936Z x = self.conv2(x) 2025-08-14T21:51:28.6700939Z 2025-08-14T21:51:28.6701040Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6701238Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6701311Z return mod(*inputs) 2025-08-14T21:51:28.6701498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6701568Z y = self.forward_features(x) 2025-08-14T21:51:28.6701830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6701899Z yl = self.stages(x) 2025-08-14T21:51:28.6702093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6702159Z yl = self.stage4(xl) 2025-08-14T21:51:28.6702348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6702416Z x = module(x) 2025-08-14T21:51:28.6702603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6702666Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6702866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6702929Z x = self.act2(x) 2025-08-14T21:51:28.6702933Z 2025-08-14T21:51:28.6703044Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6703244Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6703313Z return mod(*inputs) 2025-08-14T21:51:28.6703509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6703580Z y = self.forward_features(x) 2025-08-14T21:51:28.6703798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6703871Z yl = self.stages(x) 2025-08-14T21:51:28.6704057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6704130Z yl = self.stage4(xl) 2025-08-14T21:51:28.6704316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6704377Z x = module(x) 2025-08-14T21:51:28.6704573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6704638Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6704846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6704921Z x = self.conv1(x) 2025-08-14T21:51:28.6704924Z 2025-08-14T21:51:28.6705027Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6705232Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6705298Z return mod(*inputs) 2025-08-14T21:51:28.6705485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6705564Z y = self.forward_features(x) 2025-08-14T21:51:28.6705792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6705859Z yl = self.stages(x) 2025-08-14T21:51:28.6706062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6706150Z yl = self.stage4(xl) 2025-08-14T21:51:28.6706366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6706449Z x = module(x) 2025-08-14T21:51:28.6706657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6706732Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6706953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6707019Z x = self.act1(x) 2025-08-14T21:51:28.6707030Z 2025-08-14T21:51:28.6707138Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6707348Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6707423Z return mod(*inputs) 2025-08-14T21:51:28.6707639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6707719Z y = self.forward_features(x) 2025-08-14T21:51:28.6707957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6708027Z yl = self.stages(x) 2025-08-14T21:51:28.6708224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6708300Z yl = self.stage4(xl) 2025-08-14T21:51:28.6708496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6708566Z x = module(x) 2025-08-14T21:51:28.6708763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6708830Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6709042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6709110Z x = self.conv2(x) 2025-08-14T21:51:28.6709113Z 2025-08-14T21:51:28.6709232Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6709443Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6709511Z return mod(*inputs) 2025-08-14T21:51:28.6709713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6709786Z y = self.forward_features(x) 2025-08-14T21:51:28.6710011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6710087Z yl = self.stages(x) 2025-08-14T21:51:28.6710284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6710353Z yl = self.stage4(xl) 2025-08-14T21:51:28.6710556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6710619Z x = module(x) 2025-08-14T21:51:28.6710842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6710911Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6711113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6711186Z x = self.act2(x) 2025-08-14T21:51:28.6711191Z 2025-08-14T21:51:28.6711298Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6711519Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6711587Z return mod(*inputs) 2025-08-14T21:51:28.6711781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6711862Z y = self.forward_features(x) 2025-08-14T21:51:28.6712089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6712161Z yl = self.stages(x) 2025-08-14T21:51:28.6712388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6712478Z yl = self.stage3(xl) 2025-08-14T21:51:28.6712675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6712746Z x = module(x) 2025-08-14T21:51:28.6712944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.6713014Z y = f(x[j]) 2025-08-14T21:51:28.6713018Z 2025-08-14T21:51:28.6713128Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6713335Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6713412Z return mod(*inputs) 2025-08-14T21:51:28.6713609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6713723Z y = self.forward_features(x) 2025-08-14T21:51:28.6713957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6714027Z yl = self.stages(x) 2025-08-14T21:51:28.6714228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6714298Z yl = self.stage3(xl) 2025-08-14T21:51:28.6714504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6714578Z x = module(x) 2025-08-14T21:51:28.6714774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6714838Z y = y + f(x[j]) 2025-08-14T21:51:28.6714849Z 2025-08-14T21:51:28.6714958Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6715168Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6715247Z return mod(*inputs) 2025-08-14T21:51:28.6715444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6715520Z y = self.forward_features(x) 2025-08-14T21:51:28.6715756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6715825Z yl = self.stages(x) 2025-08-14T21:51:28.6716028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6716098Z yl = self.stage3(xl) 2025-08-14T21:51:28.6716294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6716367Z x = module(x) 2025-08-14T21:51:28.6716566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6716630Z y = y + f(x[j]) 2025-08-14T21:51:28.6716635Z 2025-08-14T21:51:28.6716752Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6716986Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6717066Z return mod(*inputs) 2025-08-14T21:51:28.6717261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6717335Z y = self.forward_features(x) 2025-08-14T21:51:28.6717569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6717636Z yl = self.stages(x) 2025-08-14T21:51:28.6717831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:51:28.6717906Z yl = self.stage3(xl) 2025-08-14T21:51:28.6718101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6718171Z x = module(x) 2025-08-14T21:51:28.6718369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:51:28.6718487Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:51:28.6718490Z 2025-08-14T21:51:28.6718608Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6718828Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6718896Z return mod(*inputs) 2025-08-14T21:51:28.6719110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6719183Z y = self.forward_features(x) 2025-08-14T21:51:28.6719418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6719485Z yl = self.stages(x) 2025-08-14T21:51:28.6719678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6719774Z yl = self.stage4(xl) 2025-08-14T21:51:28.6719974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6720039Z x = module(x) 2025-08-14T21:51:28.6720258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6720325Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6720542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6720608Z x = self.conv1(x) 2025-08-14T21:51:28.6720611Z 2025-08-14T21:51:28.6720719Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6720936Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6721005Z return mod(*inputs) 2025-08-14T21:51:28.6721211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6721295Z y = self.forward_features(x) 2025-08-14T21:51:28.6721525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6721601Z yl = self.stages(x) 2025-08-14T21:51:28.6721795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6721864Z yl = self.stage4(xl) 2025-08-14T21:51:28.6722070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6722134Z x = module(x) 2025-08-14T21:51:28.6722342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6722417Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6722628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6722699Z x = self.act1(x) 2025-08-14T21:51:28.6722702Z 2025-08-14T21:51:28.6722888Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6723132Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6723216Z return mod(*inputs) 2025-08-14T21:51:28.6723418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6723492Z y = self.forward_features(x) 2025-08-14T21:51:28.6723730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6723798Z yl = self.stages(x) 2025-08-14T21:51:28.6724004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6724075Z yl = self.stage4(xl) 2025-08-14T21:51:28.6724274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6724344Z x = module(x) 2025-08-14T21:51:28.6724556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6724646Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6724878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6724948Z x = self.conv2(x) 2025-08-14T21:51:28.6724951Z 2025-08-14T21:51:28.6725069Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6725287Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6725356Z return mod(*inputs) 2025-08-14T21:51:28.6725563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6725647Z y = self.forward_features(x) 2025-08-14T21:51:28.6725860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6725932Z yl = self.stages(x) 2025-08-14T21:51:28.6726131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6726208Z yl = self.stage4(xl) 2025-08-14T21:51:28.6726398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6726457Z x = module(x) 2025-08-14T21:51:28.6726654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6726717Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6726908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6726979Z x = self.act2(x) 2025-08-14T21:51:28.6726983Z 2025-08-14T21:51:28.6727085Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6727291Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6727358Z return mod(*inputs) 2025-08-14T21:51:28.6727548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6727631Z y = self.forward_features(x) 2025-08-14T21:51:28.6727846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6727910Z yl = self.stages(x) 2025-08-14T21:51:28.6728106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6728172Z yl = self.stage4(xl) 2025-08-14T21:51:28.6728368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6728427Z x = module(x) 2025-08-14T21:51:28.6728615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6728686Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6728880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6728945Z x = self.conv1(x) 2025-08-14T21:51:28.6728969Z 2025-08-14T21:51:28.6729082Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6729277Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6729349Z return mod(*inputs) 2025-08-14T21:51:28.6729535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6729606Z y = self.forward_features(x) 2025-08-14T21:51:28.6729829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6729893Z yl = self.stages(x) 2025-08-14T21:51:28.6730075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6730148Z yl = self.stage4(xl) 2025-08-14T21:51:28.6730334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6730429Z x = module(x) 2025-08-14T21:51:28.6730621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6730706Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6730906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6730968Z x = self.act1(x) 2025-08-14T21:51:28.6730970Z 2025-08-14T21:51:28.6731072Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6731278Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6731342Z return mod(*inputs) 2025-08-14T21:51:28.6731536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6731607Z y = self.forward_features(x) 2025-08-14T21:51:28.6731842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6731920Z yl = self.stages(x) 2025-08-14T21:51:28.6732111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6732176Z yl = self.stage4(xl) 2025-08-14T21:51:28.6732370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6732429Z x = module(x) 2025-08-14T21:51:28.6732625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6732688Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6732880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6732950Z x = self.conv2(x) 2025-08-14T21:51:28.6732954Z 2025-08-14T21:51:28.6733054Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6733252Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6733329Z return mod(*inputs) 2025-08-14T21:51:28.6733518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6733598Z y = self.forward_features(x) 2025-08-14T21:51:28.6733816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6733880Z yl = self.stages(x) 2025-08-14T21:51:28.6734074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6734139Z yl = self.stage4(xl) 2025-08-14T21:51:28.6734325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6734393Z x = module(x) 2025-08-14T21:51:28.6734579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6734650Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6734863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6734929Z x = self.act2(x) 2025-08-14T21:51:28.6734933Z 2025-08-14T21:51:28.6735043Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6735237Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6735301Z return mod(*inputs) 2025-08-14T21:51:28.6735493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6735564Z y = self.forward_features(x) 2025-08-14T21:51:28.6735784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6735848Z yl = self.stages(x) 2025-08-14T21:51:28.6736034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6736125Z yl = self.stage4(xl) 2025-08-14T21:51:28.6736312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6736400Z x = module(x) 2025-08-14T21:51:28.6736593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6736657Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6736854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6736917Z x = self.conv1(x) 2025-08-14T21:51:28.6736920Z 2025-08-14T21:51:28.6737022Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6737221Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6737285Z return mod(*inputs) 2025-08-14T21:51:28.6737488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6737571Z y = self.forward_features(x) 2025-08-14T21:51:28.6737795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6737881Z yl = self.stages(x) 2025-08-14T21:51:28.6738065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6738132Z yl = self.stage4(xl) 2025-08-14T21:51:28.6738325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6738386Z x = module(x) 2025-08-14T21:51:28.6738573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6738647Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6738836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6738908Z x = self.act1(x) 2025-08-14T21:51:28.6738912Z 2025-08-14T21:51:28.6739018Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6739216Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6739294Z return mod(*inputs) 2025-08-14T21:51:28.6739481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6739553Z y = self.forward_features(x) 2025-08-14T21:51:28.6739774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6739841Z yl = self.stages(x) 2025-08-14T21:51:28.6740032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6740101Z yl = self.stage4(xl) 2025-08-14T21:51:28.6740290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6740363Z x = module(x) 2025-08-14T21:51:28.6740570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6740636Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6740834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6740898Z x = self.conv2(x) 2025-08-14T21:51:28.6740901Z 2025-08-14T21:51:28.6741010Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6741201Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6741265Z return mod(*inputs) 2025-08-14T21:51:28.6741454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6741524Z y = self.forward_features(x) 2025-08-14T21:51:28.6741733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6741805Z yl = self.stages(x) 2025-08-14T21:51:28.6742007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6742095Z yl = self.stage4(xl) 2025-08-14T21:51:28.6742280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6742339Z x = module(x) 2025-08-14T21:51:28.6742527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6742589Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6742776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6742843Z x = self.act2(x) 2025-08-14T21:51:28.6742846Z 2025-08-14T21:51:28.6742945Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6743147Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6743230Z return mod(*inputs) 2025-08-14T21:51:28.6743414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6743493Z y = self.forward_features(x) 2025-08-14T21:51:28.6743701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6743762Z yl = self.stages(x) 2025-08-14T21:51:28.6743946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6744010Z yl = self.stage4(xl) 2025-08-14T21:51:28.6744200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6744259Z x = module(x) 2025-08-14T21:51:28.6744440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6744509Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6744846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6744917Z x = self.conv1(x) 2025-08-14T21:51:28.6744930Z 2025-08-14T21:51:28.6745032Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6745224Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6745298Z return mod(*inputs) 2025-08-14T21:51:28.6745480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6745550Z y = self.forward_features(x) 2025-08-14T21:51:28.6745767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6745831Z yl = self.stages(x) 2025-08-14T21:51:28.6746008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6746084Z yl = self.stage4(xl) 2025-08-14T21:51:28.6746273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6746412Z x = module(x) 2025-08-14T21:51:28.6746601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6746664Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6746862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6746924Z x = self.act1(x) 2025-08-14T21:51:28.6746928Z 2025-08-14T21:51:28.6747030Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6747232Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6747297Z return mod(*inputs) 2025-08-14T21:51:28.6747489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6747560Z y = self.forward_features(x) 2025-08-14T21:51:28.6747774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6747903Z yl = self.stages(x) 2025-08-14T21:51:28.6748093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6748159Z yl = self.stage4(xl) 2025-08-14T21:51:28.6748359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6748420Z x = module(x) 2025-08-14T21:51:28.6748621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6748686Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6748882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6748955Z x = self.conv2(x) 2025-08-14T21:51:28.6748958Z 2025-08-14T21:51:28.6749062Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6749286Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6749363Z return mod(*inputs) 2025-08-14T21:51:28.6749549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6749627Z y = self.forward_features(x) 2025-08-14T21:51:28.6749845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6749910Z yl = self.stages(x) 2025-08-14T21:51:28.6750103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6750169Z yl = self.stage4(xl) 2025-08-14T21:51:28.6750355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6750423Z x = module(x) 2025-08-14T21:51:28.6750611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6750682Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6750885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6750946Z x = self.act2(x) 2025-08-14T21:51:28.6750949Z 2025-08-14T21:51:28.6751057Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6751247Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6751309Z return mod(*inputs) 2025-08-14T21:51:28.6751495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6751565Z y = self.forward_features(x) 2025-08-14T21:51:28.6751780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6751844Z yl = self.stages(x) 2025-08-14T21:51:28.6752025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6752099Z yl = self.stage4(xl) 2025-08-14T21:51:28.6752298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6752360Z x = module(x) 2025-08-14T21:51:28.6752550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6752610Z y = y + f(x[j]) 2025-08-14T21:51:28.6752613Z 2025-08-14T21:51:28.6752721Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6752914Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6752977Z return mod(*inputs) 2025-08-14T21:51:28.6753163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6753233Z y = self.forward_features(x) 2025-08-14T21:51:28.6753449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6753534Z yl = self.stages(x) 2025-08-14T21:51:28.6753731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6753803Z yl = self.stage4(xl) 2025-08-14T21:51:28.6753984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6754044Z x = module(x) 2025-08-14T21:51:28.6754230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6754288Z y = y + f(x[j]) 2025-08-14T21:51:28.6754292Z 2025-08-14T21:51:28.6754399Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6754588Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6754651Z return mod(*inputs) 2025-08-14T21:51:28.6754872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6754947Z y = self.forward_features(x) 2025-08-14T21:51:28.6755157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6755230Z yl = self.stages(x) 2025-08-14T21:51:28.6755413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6755485Z yl = self.stage4(xl) 2025-08-14T21:51:28.6755669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6755730Z x = module(x) 2025-08-14T21:51:28.6755921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6755985Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6756176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6756249Z x = self.conv1(x) 2025-08-14T21:51:28.6756254Z 2025-08-14T21:51:28.6756358Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6756565Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6756630Z return mod(*inputs) 2025-08-14T21:51:28.6756812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6756891Z y = self.forward_features(x) 2025-08-14T21:51:28.6757103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6757168Z yl = self.stages(x) 2025-08-14T21:51:28.6757357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6757424Z yl = self.stage4(xl) 2025-08-14T21:51:28.6757618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6757680Z x = module(x) 2025-08-14T21:51:28.6757888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6757963Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6758154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6758218Z x = self.act1(x) 2025-08-14T21:51:28.6758222Z 2025-08-14T21:51:28.6758339Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6758545Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6758621Z return mod(*inputs) 2025-08-14T21:51:28.6758818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6758893Z y = self.forward_features(x) 2025-08-14T21:51:28.6759128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6759226Z yl = self.stages(x) 2025-08-14T21:51:28.6759426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6759522Z yl = self.stage4(xl) 2025-08-14T21:51:28.6759718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6759789Z x = module(x) 2025-08-14T21:51:28.6759995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6760062Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6760278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6760345Z x = self.conv2(x) 2025-08-14T21:51:28.6760348Z 2025-08-14T21:51:28.6760456Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6760695Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6760766Z return mod(*inputs) 2025-08-14T21:51:28.6760982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6761058Z y = self.forward_features(x) 2025-08-14T21:51:28.6761285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6761358Z yl = self.stages(x) 2025-08-14T21:51:28.6761552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6761619Z yl = self.stage4(xl) 2025-08-14T21:51:28.6761823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6761885Z x = module(x) 2025-08-14T21:51:28.6762097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6762165Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6762377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6762453Z x = self.act2(x) 2025-08-14T21:51:28.6762456Z 2025-08-14T21:51:28.6762564Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6762863Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6762949Z return mod(*inputs) 2025-08-14T21:51:28.6763158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6763241Z y = self.forward_features(x) 2025-08-14T21:51:28.6763466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6763534Z yl = self.stages(x) 2025-08-14T21:51:28.6763736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6763810Z yl = self.stage4(xl) 2025-08-14T21:51:28.6764036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6764114Z x = module(x) 2025-08-14T21:51:28.6764324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6764401Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6764606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6764674Z x = self.conv1(x) 2025-08-14T21:51:28.6764678Z 2025-08-14T21:51:28.6764794Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6765010Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6765075Z return mod(*inputs) 2025-08-14T21:51:28.6765275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6765349Z y = self.forward_features(x) 2025-08-14T21:51:28.6765591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6766096Z yl = self.stages(x) 2025-08-14T21:51:28.6766286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6766360Z yl = self.stage4(xl) 2025-08-14T21:51:28.6766547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6766609Z x = module(x) 2025-08-14T21:51:28.6766805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6766869Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6767073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6767137Z x = self.act1(x) 2025-08-14T21:51:28.6767140Z 2025-08-14T21:51:28.6767263Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6767476Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6767543Z return mod(*inputs) 2025-08-14T21:51:28.6767727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6767806Z y = self.forward_features(x) 2025-08-14T21:51:28.6768020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6768093Z yl = self.stages(x) 2025-08-14T21:51:28.6768279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6768345Z yl = self.stage4(xl) 2025-08-14T21:51:28.6768545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6768607Z x = module(x) 2025-08-14T21:51:28.6768796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6768872Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6769065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6769135Z x = self.conv2(x) 2025-08-14T21:51:28.6769138Z 2025-08-14T21:51:28.6769242Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6769437Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6769508Z return mod(*inputs) 2025-08-14T21:51:28.6769694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6769764Z y = self.forward_features(x) 2025-08-14T21:51:28.6769984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6770049Z yl = self.stages(x) 2025-08-14T21:51:28.6770241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6770332Z yl = self.stage4(xl) 2025-08-14T21:51:28.6770520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6770587Z x = module(x) 2025-08-14T21:51:28.6770772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6770836Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6771034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6771096Z x = self.act2(x) 2025-08-14T21:51:28.6771099Z 2025-08-14T21:51:28.6771207Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6771402Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6771467Z return mod(*inputs) 2025-08-14T21:51:28.6771659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6771750Z y = self.forward_features(x) 2025-08-14T21:51:28.6771983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6772057Z yl = self.stages(x) 2025-08-14T21:51:28.6772243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6772317Z yl = self.stage4(xl) 2025-08-14T21:51:28.6772502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6772563Z x = module(x) 2025-08-14T21:51:28.6772756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6772821Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6773029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6773105Z x = self.conv1(x) 2025-08-14T21:51:28.6773108Z 2025-08-14T21:51:28.6773211Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6773420Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6773486Z return mod(*inputs) 2025-08-14T21:51:28.6773670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6773749Z y = self.forward_features(x) 2025-08-14T21:51:28.6773963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6774027Z yl = self.stages(x) 2025-08-14T21:51:28.6774217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6774281Z yl = self.stage4(xl) 2025-08-14T21:51:28.6774472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6774533Z x = module(x) 2025-08-14T21:51:28.6774720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6774790Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6774989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6775049Z x = self.act1(x) 2025-08-14T21:51:28.6775052Z 2025-08-14T21:51:28.6775158Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6775350Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6775420Z return mod(*inputs) 2025-08-14T21:51:28.6775598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6775668Z y = self.forward_features(x) 2025-08-14T21:51:28.6775883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6775967Z yl = self.stages(x) 2025-08-14T21:51:28.6776146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6776218Z yl = self.stage4(xl) 2025-08-14T21:51:28.6776397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6776462Z x = module(x) 2025-08-14T21:51:28.6776642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6776704Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6776903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6776964Z x = self.conv2(x) 2025-08-14T21:51:28.6776967Z 2025-08-14T21:51:28.6777063Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6777258Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6777344Z return mod(*inputs) 2025-08-14T21:51:28.6777549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6777618Z y = self.forward_features(x) 2025-08-14T21:51:28.6777820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6777890Z yl = self.stages(x) 2025-08-14T21:51:28.6778064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6778127Z yl = self.stage4(xl) 2025-08-14T21:51:28.6778312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6778369Z x = module(x) 2025-08-14T21:51:28.6778552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6778630Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6778818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6778887Z x = self.act2(x) 2025-08-14T21:51:28.6778890Z 2025-08-14T21:51:28.6778988Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6779179Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6779251Z return mod(*inputs) 2025-08-14T21:51:28.6779435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6779511Z y = self.forward_features(x) 2025-08-14T21:51:28.6779732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6779794Z yl = self.stages(x) 2025-08-14T21:51:28.6779976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6780039Z yl = self.stage4(xl) 2025-08-14T21:51:28.6780219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6780294Z x = module(x) 2025-08-14T21:51:28.6780472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6780539Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6780723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6780782Z x = self.conv1(x) 2025-08-14T21:51:28.6780785Z 2025-08-14T21:51:28.6780889Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6781075Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6781135Z return mod(*inputs) 2025-08-14T21:51:28.6781326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6781394Z y = self.forward_features(x) 2025-08-14T21:51:28.6781632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6781697Z yl = self.stages(x) 2025-08-14T21:51:28.6781871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6781942Z yl = self.stage4(xl) 2025-08-14T21:51:28.6782126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6782185Z x = module(x) 2025-08-14T21:51:28.6782374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6782436Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6782636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6782698Z x = self.act1(x) 2025-08-14T21:51:28.6782701Z 2025-08-14T21:51:28.6782803Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6783024Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6783108Z return mod(*inputs) 2025-08-14T21:51:28.6783290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6783369Z y = self.forward_features(x) 2025-08-14T21:51:28.6783576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6783647Z yl = self.stages(x) 2025-08-14T21:51:28.6783831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6783895Z yl = self.stage4(xl) 2025-08-14T21:51:28.6784082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6784150Z x = module(x) 2025-08-14T21:51:28.6784346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6784418Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6784597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6784662Z x = self.conv2(x) 2025-08-14T21:51:28.6784665Z 2025-08-14T21:51:28.6784763Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6784951Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6785019Z return mod(*inputs) 2025-08-14T21:51:28.6785197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6785265Z y = self.forward_features(x) 2025-08-14T21:51:28.6785476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6785537Z yl = self.stages(x) 2025-08-14T21:51:28.6785722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6785788Z yl = self.stage4(xl) 2025-08-14T21:51:28.6785965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6786028Z x = module(x) 2025-08-14T21:51:28.6786205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6786265Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6786460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6786520Z x = self.act2(x) 2025-08-14T21:51:28.6786523Z 2025-08-14T21:51:28.6786630Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6786819Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6786883Z return mod(*inputs) 2025-08-14T21:51:28.6787090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6787164Z y = self.forward_features(x) 2025-08-14T21:51:28.6787398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6787469Z yl = self.stages(x) 2025-08-14T21:51:28.6787650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6787722Z yl = self.stage4(xl) 2025-08-14T21:51:28.6787904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6787962Z x = module(x) 2025-08-14T21:51:28.6788150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6788210Z y = y + f(x[j]) 2025-08-14T21:51:28.6788213Z 2025-08-14T21:51:28.6788315Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6788536Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6788616Z return mod(*inputs) 2025-08-14T21:51:28.6788810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6788881Z y = self.forward_features(x) 2025-08-14T21:51:28.6789091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6789164Z yl = self.stages(x) 2025-08-14T21:51:28.6789346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6789412Z yl = self.stage4(xl) 2025-08-14T21:51:28.6789605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6789663Z x = module(x) 2025-08-14T21:51:28.6789873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6789937Z y = y + f(x[j]) 2025-08-14T21:51:28.6789942Z 2025-08-14T21:51:28.6790043Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6790247Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6790312Z return mod(*inputs) 2025-08-14T21:51:28.6790501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6790578Z y = self.forward_features(x) 2025-08-14T21:51:28.6790790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6790862Z yl = self.stages(x) 2025-08-14T21:51:28.6791046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 756, in stages 2025-08-14T21:51:28.6791233Z xl = [t(yl[-1]) if not isinstance(t, nn.Identity) else yl[i] for i, t in enumerate(self.transition3)] 2025-08-14T21:51:28.6791447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 756, in 2025-08-14T21:51:28.6791622Z xl = [t(yl[-1]) if not isinstance(t, nn.Identity) else yl[i] for i, t in enumerate(self.transition3)] 2025-08-14T21:51:28.6791626Z 2025-08-14T21:51:28.6791735Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6791928Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6791992Z return mod(*inputs) 2025-08-14T21:51:28.6792184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6792253Z y = self.forward_features(x) 2025-08-14T21:51:28.6792462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6792534Z yl = self.stages(x) 2025-08-14T21:51:28.6792716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 756, in stages 2025-08-14T21:51:28.6792909Z xl = [t(yl[-1]) if not isinstance(t, nn.Identity) else yl[i] for i, t in enumerate(self.transition3)] 2025-08-14T21:51:28.6793104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 756, in 2025-08-14T21:51:28.6793261Z xl = [t(yl[-1]) if not isinstance(t, nn.Identity) else yl[i] for i, t in enumerate(self.transition3)] 2025-08-14T21:51:28.6793264Z 2025-08-14T21:51:28.6793375Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6793566Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6793635Z return mod(*inputs) 2025-08-14T21:51:28.6793817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6793886Z y = self.forward_features(x) 2025-08-14T21:51:28.6794101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6794187Z yl = self.stages(x) 2025-08-14T21:51:28.6794412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6794487Z yl = self.stage4(xl) 2025-08-14T21:51:28.6794669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6794734Z x = module(x) 2025-08-14T21:51:28.6794917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6794979Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6795175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6795237Z x = self.conv1(x) 2025-08-14T21:51:28.6795240Z 2025-08-14T21:51:28.6795342Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6795554Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6795622Z return mod(*inputs) 2025-08-14T21:51:28.6795813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6795881Z y = self.forward_features(x) 2025-08-14T21:51:28.6796091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6796163Z yl = self.stages(x) 2025-08-14T21:51:28.6796343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6796407Z yl = self.stage4(xl) 2025-08-14T21:51:28.6796599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6796658Z x = module(x) 2025-08-14T21:51:28.6796852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6796918Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6797113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6797182Z x = self.act1(x) 2025-08-14T21:51:28.6797185Z 2025-08-14T21:51:28.6797286Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6797484Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6797557Z return mod(*inputs) 2025-08-14T21:51:28.6797746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6797823Z y = self.forward_features(x) 2025-08-14T21:51:28.6798037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6798102Z yl = self.stages(x) 2025-08-14T21:51:28.6798305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6798372Z yl = self.stage4(xl) 2025-08-14T21:51:28.6798569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6798639Z x = module(x) 2025-08-14T21:51:28.6798818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6798888Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6799072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6799134Z x = self.conv2(x) 2025-08-14T21:51:28.6799137Z 2025-08-14T21:51:28.6799242Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6799431Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6799494Z return mod(*inputs) 2025-08-14T21:51:28.6799682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6799771Z y = self.forward_features(x) 2025-08-14T21:51:28.6799998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6800084Z yl = self.stages(x) 2025-08-14T21:51:28.6800267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6800339Z yl = self.stage4(xl) 2025-08-14T21:51:28.6800523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6800583Z x = module(x) 2025-08-14T21:51:28.6800774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6800837Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6801036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6801124Z x = self.act2(x) 2025-08-14T21:51:28.6801128Z 2025-08-14T21:51:28.6801234Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6801439Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6801505Z return mod(*inputs) 2025-08-14T21:51:28.6801691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6801769Z y = self.forward_features(x) 2025-08-14T21:51:28.6801982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6802053Z yl = self.stages(x) 2025-08-14T21:51:28.6802237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6802302Z yl = self.stage4(xl) 2025-08-14T21:51:28.6802498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6802560Z x = module(x) 2025-08-14T21:51:28.6802747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6802905Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6803107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6803179Z x = self.conv1(x) 2025-08-14T21:51:28.6803183Z 2025-08-14T21:51:28.6803288Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6803520Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6803601Z return mod(*inputs) 2025-08-14T21:51:28.6803805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6803883Z y = self.forward_features(x) 2025-08-14T21:51:28.6804128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6804202Z yl = self.stages(x) 2025-08-14T21:51:28.6804438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6804514Z yl = self.stage4(xl) 2025-08-14T21:51:28.6804720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6804803Z x = module(x) 2025-08-14T21:51:28.6804992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6805058Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6805317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6805386Z x = self.act1(x) 2025-08-14T21:51:28.6805390Z 2025-08-14T21:51:28.6805496Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6805686Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6805750Z return mod(*inputs) 2025-08-14T21:51:28.6805963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6806051Z y = self.forward_features(x) 2025-08-14T21:51:28.6806266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6806339Z yl = self.stages(x) 2025-08-14T21:51:28.6806519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6806593Z yl = self.stage4(xl) 2025-08-14T21:51:28.6806779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6806839Z x = module(x) 2025-08-14T21:51:28.6807035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6807099Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6807310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6807387Z x = self.conv2(x) 2025-08-14T21:51:28.6807392Z 2025-08-14T21:51:28.6807497Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6807704Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6807770Z return mod(*inputs) 2025-08-14T21:51:28.6807955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6808037Z y = self.forward_features(x) 2025-08-14T21:51:28.6808252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6808317Z yl = self.stages(x) 2025-08-14T21:51:28.6808506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6808570Z yl = self.stage4(xl) 2025-08-14T21:51:28.6808769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6808832Z x = module(x) 2025-08-14T21:51:28.6809018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6809089Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6809283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6809345Z x = self.act2(x) 2025-08-14T21:51:28.6809348Z 2025-08-14T21:51:28.6809460Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6809656Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6809728Z return mod(*inputs) 2025-08-14T21:51:28.6809912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6809984Z y = self.forward_features(x) 2025-08-14T21:51:28.6810226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6810293Z yl = self.stages(x) 2025-08-14T21:51:28.6810477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6810550Z yl = self.stage4(xl) 2025-08-14T21:51:28.6810737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6810803Z x = module(x) 2025-08-14T21:51:28.6810990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6811054Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6811253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6811317Z x = self.conv1(x) 2025-08-14T21:51:28.6811320Z 2025-08-14T21:51:28.6811424Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6811643Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6811725Z return mod(*inputs) 2025-08-14T21:51:28.6811916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6811988Z y = self.forward_features(x) 2025-08-14T21:51:28.6812201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6812273Z yl = self.stages(x) 2025-08-14T21:51:28.6812456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6812523Z yl = self.stage4(xl) 2025-08-14T21:51:28.6812711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6812771Z x = module(x) 2025-08-14T21:51:28.6812978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6813047Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6813242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6813315Z x = self.act1(x) 2025-08-14T21:51:28.6813319Z 2025-08-14T21:51:28.6813423Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6813618Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6813690Z return mod(*inputs) 2025-08-14T21:51:28.6813877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6813957Z y = self.forward_features(x) 2025-08-14T21:51:28.6814172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6814236Z yl = self.stages(x) 2025-08-14T21:51:28.6814430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6814498Z yl = self.stage4(xl) 2025-08-14T21:51:28.6814686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6814754Z x = module(x) 2025-08-14T21:51:28.6814942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6815013Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6815206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6815270Z x = self.conv2(x) 2025-08-14T21:51:28.6815273Z 2025-08-14T21:51:28.6815383Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6815580Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6815645Z return mod(*inputs) 2025-08-14T21:51:28.6815838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6815929Z y = self.forward_features(x) 2025-08-14T21:51:28.6816157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6816222Z yl = self.stages(x) 2025-08-14T21:51:28.6816403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6816477Z yl = self.stage4(xl) 2025-08-14T21:51:28.6816664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6816725Z x = module(x) 2025-08-14T21:51:28.6816921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6816985Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6817183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6817247Z x = self.act2(x) 2025-08-14T21:51:28.6817267Z 2025-08-14T21:51:28.6817372Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6817593Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6817659Z return mod(*inputs) 2025-08-14T21:51:28.6817842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6817921Z y = self.forward_features(x) 2025-08-14T21:51:28.6818134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6818206Z yl = self.stages(x) 2025-08-14T21:51:28.6818388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6818453Z yl = self.stage4(xl) 2025-08-14T21:51:28.6818662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6818724Z x = module(x) 2025-08-14T21:51:28.6818919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6818992Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6819185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6819255Z x = self.conv1(x) 2025-08-14T21:51:28.6819258Z 2025-08-14T21:51:28.6819361Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6819556Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6819629Z return mod(*inputs) 2025-08-14T21:51:28.6819816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6819888Z y = self.forward_features(x) 2025-08-14T21:51:28.6820112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6820190Z yl = self.stages(x) 2025-08-14T21:51:28.6820373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6820439Z yl = self.stage4(xl) 2025-08-14T21:51:28.6820614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6820682Z x = module(x) 2025-08-14T21:51:28.6820859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6820920Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6821110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6821169Z x = self.act1(x) 2025-08-14T21:51:28.6821172Z 2025-08-14T21:51:28.6821278Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6821465Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6821527Z return mod(*inputs) 2025-08-14T21:51:28.6821735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6821806Z y = self.forward_features(x) 2025-08-14T21:51:28.6822010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6822079Z yl = self.stages(x) 2025-08-14T21:51:28.6822255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6822325Z yl = self.stage4(xl) 2025-08-14T21:51:28.6822500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6822557Z x = module(x) 2025-08-14T21:51:28.6822740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6822802Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6822985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6823100Z x = self.conv2(x) 2025-08-14T21:51:28.6823103Z 2025-08-14T21:51:28.6823202Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6823396Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6823458Z return mod(*inputs) 2025-08-14T21:51:28.6823630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6823705Z y = self.forward_features(x) 2025-08-14T21:51:28.6823908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6823968Z yl = self.stages(x) 2025-08-14T21:51:28.6824149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6824228Z yl = self.stage4(xl) 2025-08-14T21:51:28.6824416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6824474Z x = module(x) 2025-08-14T21:51:28.6824648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.6824714Z y = f(x[j]) 2025-08-14T21:51:28.6824717Z 2025-08-14T21:51:28.6824815Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6825003Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6825074Z return mod(*inputs) 2025-08-14T21:51:28.6825251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6825327Z y = self.forward_features(x) 2025-08-14T21:51:28.6825531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6825592Z yl = self.stages(x) 2025-08-14T21:51:28.6825780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6825844Z yl = self.stage4(xl) 2025-08-14T21:51:28.6826021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6826087Z x = module(x) 2025-08-14T21:51:28.6826264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.6826329Z y = f(x[j]) 2025-08-14T21:51:28.6826332Z 2025-08-14T21:51:28.6826429Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6826617Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6826689Z return mod(*inputs) 2025-08-14T21:51:28.6826866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6826936Z y = self.forward_features(x) 2025-08-14T21:51:28.6827164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6827229Z yl = self.stages(x) 2025-08-14T21:51:28.6827415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6827478Z yl = self.stage4(xl) 2025-08-14T21:51:28.6827657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6827724Z x = module(x) 2025-08-14T21:51:28.6827901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.6827958Z y = f(x[j]) 2025-08-14T21:51:28.6827968Z 2025-08-14T21:51:28.6828066Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6828256Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6828327Z return mod(*inputs) 2025-08-14T21:51:28.6828521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6828607Z y = self.forward_features(x) 2025-08-14T21:51:28.6828823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6828884Z yl = self.stages(x) 2025-08-14T21:51:28.6829070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6829137Z yl = self.stage4(xl) 2025-08-14T21:51:28.6829317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6829380Z x = module(x) 2025-08-14T21:51:28.6829559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.6829615Z y = f(x[j]) 2025-08-14T21:51:28.6829619Z 2025-08-14T21:51:28.6829741Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6829931Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6830006Z return mod(*inputs) 2025-08-14T21:51:28.6830183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6830253Z y = self.forward_features(x) 2025-08-14T21:51:28.6830463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6830527Z yl = self.stages(x) 2025-08-14T21:51:28.6830703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6830777Z yl = self.stage4(xl) 2025-08-14T21:51:28.6830954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6831021Z x = module(x) 2025-08-14T21:51:28.6831202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.6831264Z y = f(x[j]) 2025-08-14T21:51:28.6831269Z 2025-08-14T21:51:28.6831376Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6831566Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6831631Z return mod(*inputs) 2025-08-14T21:51:28.6831816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6831887Z y = self.forward_features(x) 2025-08-14T21:51:28.6832099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6832162Z yl = self.stages(x) 2025-08-14T21:51:28.6832339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6832413Z yl = self.stage4(xl) 2025-08-14T21:51:28.6832609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6832670Z x = module(x) 2025-08-14T21:51:28.6832855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6832914Z y = y + f(x[j]) 2025-08-14T21:51:28.6832917Z 2025-08-14T21:51:28.6833021Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6833206Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6833268Z return mod(*inputs) 2025-08-14T21:51:28.6833454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6833521Z y = self.forward_features(x) 2025-08-14T21:51:28.6833723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6833793Z yl = self.stages(x) 2025-08-14T21:51:28.6833971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6834071Z yl = self.stage4(xl) 2025-08-14T21:51:28.6834247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6834304Z x = module(x) 2025-08-14T21:51:28.6834487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6834545Z y = y + f(x[j]) 2025-08-14T21:51:28.6834548Z 2025-08-14T21:51:28.6834644Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6834838Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6834899Z return mod(*inputs) 2025-08-14T21:51:28.6835082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6835166Z y = self.forward_features(x) 2025-08-14T21:51:28.6835371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6835442Z yl = self.stages(x) 2025-08-14T21:51:28.6835614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6835674Z yl = self.stage4(xl) 2025-08-14T21:51:28.6835859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6835916Z x = module(x) 2025-08-14T21:51:28.6836097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6836154Z y = y + f(x[j]) 2025-08-14T21:51:28.6836157Z 2025-08-14T21:51:28.6836252Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6836444Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6836508Z return mod(*inputs) 2025-08-14T21:51:28.6836690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6836769Z y = self.forward_features(x) 2025-08-14T21:51:28.6836974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6837044Z yl = self.stages(x) 2025-08-14T21:51:28.6837222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6837286Z yl = self.stage4(xl) 2025-08-14T21:51:28.6837472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6837530Z x = module(x) 2025-08-14T21:51:28.6837709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6837777Z y = y + f(x[j]) 2025-08-14T21:51:28.6837780Z 2025-08-14T21:51:28.6837881Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6838097Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6838163Z return mod(*inputs) 2025-08-14T21:51:28.6838346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6838424Z y = self.forward_features(x) 2025-08-14T21:51:28.6838634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6838696Z yl = self.stages(x) 2025-08-14T21:51:28.6838891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6838956Z yl = self.stage4(xl) 2025-08-14T21:51:28.6839143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6839201Z x = module(x) 2025-08-14T21:51:28.6839386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6839472Z y = y + f(x[j]) 2025-08-14T21:51:28.6839491Z 2025-08-14T21:51:28.6839593Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6839781Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6839853Z return mod(*inputs) 2025-08-14T21:51:28.6840034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6840112Z y = self.forward_features(x) 2025-08-14T21:51:28.6840317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6840379Z yl = self.stages(x) 2025-08-14T21:51:28.6840563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6840626Z yl = self.stage4(xl) 2025-08-14T21:51:28.6840825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6840897Z x = module(x) 2025-08-14T21:51:28.6841082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6841148Z y = y + f(x[j]) 2025-08-14T21:51:28.6841151Z 2025-08-14T21:51:28.6841251Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6841440Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6841510Z return mod(*inputs) 2025-08-14T21:51:28.6841692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6841760Z y = self.forward_features(x) 2025-08-14T21:51:28.6841982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6842046Z yl = self.stages(x) 2025-08-14T21:51:28.6842244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6842314Z yl = self.stage4(xl) 2025-08-14T21:51:28.6842508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6842578Z x = module(x) 2025-08-14T21:51:28.6842834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:51:28.6842923Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:51:28.6842927Z 2025-08-14T21:51:28.6843039Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6843248Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6843328Z return mod(*inputs) 2025-08-14T21:51:28.6843537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6843619Z y = self.forward_features(x) 2025-08-14T21:51:28.6843893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6843968Z yl = self.stages(x) 2025-08-14T21:51:28.6844173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6844254Z yl = self.stage4(xl) 2025-08-14T21:51:28.6844470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6844541Z x = module(x) 2025-08-14T21:51:28.6844988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6845058Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6845255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6845319Z x = self.conv1(x) 2025-08-14T21:51:28.6845322Z 2025-08-14T21:51:28.6845428Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6845706Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6845796Z return mod(*inputs) 2025-08-14T21:51:28.6845984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6846054Z y = self.forward_features(x) 2025-08-14T21:51:28.6846260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6846332Z yl = self.stages(x) 2025-08-14T21:51:28.6846521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6846586Z yl = self.stage4(xl) 2025-08-14T21:51:28.6846782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6846842Z x = module(x) 2025-08-14T21:51:28.6847064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6847133Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6847328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6847399Z x = self.act1(x) 2025-08-14T21:51:28.6847404Z 2025-08-14T21:51:28.6847505Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6847702Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6847774Z return mod(*inputs) 2025-08-14T21:51:28.6847960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6848038Z y = self.forward_features(x) 2025-08-14T21:51:28.6848251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6848314Z yl = self.stages(x) 2025-08-14T21:51:28.6848510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6848579Z yl = self.stage4(xl) 2025-08-14T21:51:28.6848774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6848842Z x = module(x) 2025-08-14T21:51:28.6849024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6849093Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6849281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6849344Z x = self.conv2(x) 2025-08-14T21:51:28.6849347Z 2025-08-14T21:51:28.6849455Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6849644Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6849708Z return mod(*inputs) 2025-08-14T21:51:28.6849898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6849994Z y = self.forward_features(x) 2025-08-14T21:51:28.6850212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6850276Z yl = self.stages(x) 2025-08-14T21:51:28.6850453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6850526Z yl = self.stage4(xl) 2025-08-14T21:51:28.6850707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6850765Z x = module(x) 2025-08-14T21:51:28.6850955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6851017Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6851212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6851274Z x = self.act2(x) 2025-08-14T21:51:28.6851292Z 2025-08-14T21:51:28.6851396Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6851613Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6851677Z return mod(*inputs) 2025-08-14T21:51:28.6851858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6851937Z y = self.forward_features(x) 2025-08-14T21:51:28.6852143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6852215Z yl = self.stages(x) 2025-08-14T21:51:28.6852393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6852457Z yl = self.stage4(xl) 2025-08-14T21:51:28.6852661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6852723Z x = module(x) 2025-08-14T21:51:28.6852906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6852978Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6853164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6853233Z x = self.conv1(x) 2025-08-14T21:51:28.6853236Z 2025-08-14T21:51:28.6853338Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6853529Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6853601Z return mod(*inputs) 2025-08-14T21:51:28.6853782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6853850Z y = self.forward_features(x) 2025-08-14T21:51:28.6854067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6854132Z yl = self.stages(x) 2025-08-14T21:51:28.6854320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6854385Z yl = self.stage4(xl) 2025-08-14T21:51:28.6854566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6854634Z x = module(x) 2025-08-14T21:51:28.6854814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6854876Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6855070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6855131Z x = self.act1(x) 2025-08-14T21:51:28.6855137Z 2025-08-14T21:51:28.6855247Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6855438Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6855503Z return mod(*inputs) 2025-08-14T21:51:28.6855709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6855782Z y = self.forward_features(x) 2025-08-14T21:51:28.6855989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6856061Z yl = self.stages(x) 2025-08-14T21:51:28.6856239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6856311Z yl = self.stage4(xl) 2025-08-14T21:51:28.6856495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6856555Z x = module(x) 2025-08-14T21:51:28.6856743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6856807Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6856992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6857096Z x = self.conv2(x) 2025-08-14T21:51:28.6857099Z 2025-08-14T21:51:28.6857200Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6857398Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6857461Z return mod(*inputs) 2025-08-14T21:51:28.6857643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6857720Z y = self.forward_features(x) 2025-08-14T21:51:28.6857931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6857994Z yl = self.stages(x) 2025-08-14T21:51:28.6858182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6858264Z yl = self.stage4(xl) 2025-08-14T21:51:28.6858456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6858516Z x = module(x) 2025-08-14T21:51:28.6858694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6858762Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6858945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6859005Z x = self.act2(x) 2025-08-14T21:51:28.6859017Z 2025-08-14T21:51:28.6859116Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6859308Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6859377Z return mod(*inputs) 2025-08-14T21:51:28.6859554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6859624Z y = self.forward_features(x) 2025-08-14T21:51:28.6859843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6859908Z yl = self.stages(x) 2025-08-14T21:51:28.6860087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6860157Z yl = self.stage4(xl) 2025-08-14T21:51:28.6860336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6860402Z x = module(x) 2025-08-14T21:51:28.6860582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6860644Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6860839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6860899Z x = self.conv1(x) 2025-08-14T21:51:28.6860902Z 2025-08-14T21:51:28.6861003Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6861222Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6861290Z return mod(*inputs) 2025-08-14T21:51:28.6861479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6861549Z y = self.forward_features(x) 2025-08-14T21:51:28.6861755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6861827Z yl = self.stages(x) 2025-08-14T21:51:28.6862007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6862072Z yl = self.stage4(xl) 2025-08-14T21:51:28.6862264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6862325Z x = module(x) 2025-08-14T21:51:28.6862517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6862612Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6862819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6862890Z x = self.act1(x) 2025-08-14T21:51:28.6862894Z 2025-08-14T21:51:28.6862995Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6863199Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6863264Z return mod(*inputs) 2025-08-14T21:51:28.6863448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6863526Z y = self.forward_features(x) 2025-08-14T21:51:28.6863739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6863803Z yl = self.stages(x) 2025-08-14T21:51:28.6864015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6864086Z yl = self.stage4(xl) 2025-08-14T21:51:28.6864274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6864341Z x = module(x) 2025-08-14T21:51:28.6864535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6864607Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6864802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6864865Z x = self.conv2(x) 2025-08-14T21:51:28.6864868Z 2025-08-14T21:51:28.6864980Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6865176Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6865249Z return mod(*inputs) 2025-08-14T21:51:28.6865439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6865513Z y = self.forward_features(x) 2025-08-14T21:51:28.6865736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6865801Z yl = self.stages(x) 2025-08-14T21:51:28.6865996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6866074Z yl = self.stage4(xl) 2025-08-14T21:51:28.6866273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6866335Z x = module(x) 2025-08-14T21:51:28.6866538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6866605Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6866815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6866883Z x = self.act2(x) 2025-08-14T21:51:28.6866915Z 2025-08-14T21:51:28.6867026Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6867241Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6867311Z return mod(*inputs) 2025-08-14T21:51:28.6867523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6867596Z y = self.forward_features(x) 2025-08-14T21:51:28.6867820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6867895Z yl = self.stages(x) 2025-08-14T21:51:28.6868087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6868156Z yl = self.stage4(xl) 2025-08-14T21:51:28.6868363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6868451Z x = module(x) 2025-08-14T21:51:28.6868662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6868760Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6868977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6869061Z x = self.conv1(x) 2025-08-14T21:51:28.6869064Z 2025-08-14T21:51:28.6869168Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6869369Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6869443Z return mod(*inputs) 2025-08-14T21:51:28.6869634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6869712Z y = self.forward_features(x) 2025-08-14T21:51:28.6869948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6870018Z yl = self.stages(x) 2025-08-14T21:51:28.6870213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6870280Z yl = self.stage4(xl) 2025-08-14T21:51:28.6870472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6870540Z x = module(x) 2025-08-14T21:51:28.6870728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6870792Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6870996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6871057Z x = self.act1(x) 2025-08-14T21:51:28.6871060Z 2025-08-14T21:51:28.6871170Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6871373Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6871440Z return mod(*inputs) 2025-08-14T21:51:28.6871640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6871710Z y = self.forward_features(x) 2025-08-14T21:51:28.6871936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6871999Z yl = self.stages(x) 2025-08-14T21:51:28.6872187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6872259Z yl = self.stage4(xl) 2025-08-14T21:51:28.6872451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6872510Z x = module(x) 2025-08-14T21:51:28.6872709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6872773Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6872990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6873063Z x = self.conv2(x) 2025-08-14T21:51:28.6873066Z 2025-08-14T21:51:28.6873169Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6873375Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6873441Z return mod(*inputs) 2025-08-14T21:51:28.6873627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6873705Z y = self.forward_features(x) 2025-08-14T21:51:28.6873919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6873991Z yl = self.stages(x) 2025-08-14T21:51:28.6874176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6874260Z yl = self.stage4(xl) 2025-08-14T21:51:28.6874459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6874539Z x = module(x) 2025-08-14T21:51:28.6874727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6874800Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6874990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6875052Z x = self.act2(x) 2025-08-14T21:51:28.6875062Z 2025-08-14T21:51:28.6875166Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6875361Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6875434Z return mod(*inputs) 2025-08-14T21:51:28.6875639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6875714Z y = self.forward_features(x) 2025-08-14T21:51:28.6875941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6876008Z yl = self.stages(x) 2025-08-14T21:51:28.6876201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6876267Z yl = self.stage4(xl) 2025-08-14T21:51:28.6876452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6876520Z x = module(x) 2025-08-14T21:51:28.6876707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.6876769Z y = f(x[j]) 2025-08-14T21:51:28.6876772Z 2025-08-14T21:51:28.6876883Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6877084Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6877158Z return mod(*inputs) 2025-08-14T21:51:28.6877348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6877421Z y = self.forward_features(x) 2025-08-14T21:51:28.6877643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6877708Z yl = self.stages(x) 2025-08-14T21:51:28.6877889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6877963Z yl = self.stage4(xl) 2025-08-14T21:51:28.6878162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6878232Z x = module(x) 2025-08-14T21:51:28.6878422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6878483Z y = y + f(x[j]) 2025-08-14T21:51:28.6878488Z 2025-08-14T21:51:28.6878601Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6878826Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6878898Z return mod(*inputs) 2025-08-14T21:51:28.6879107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6879181Z y = self.forward_features(x) 2025-08-14T21:51:28.6879414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6879482Z yl = self.stages(x) 2025-08-14T21:51:28.6879677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6879753Z yl = self.stage4(xl) 2025-08-14T21:51:28.6879950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6880016Z x = module(x) 2025-08-14T21:51:28.6880223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6880323Z y = y + f(x[j]) 2025-08-14T21:51:28.6880327Z 2025-08-14T21:51:28.6880443Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6880648Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6880718Z return mod(*inputs) 2025-08-14T21:51:28.6880928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6881003Z y = self.forward_features(x) 2025-08-14T21:51:28.6881233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6881310Z yl = self.stages(x) 2025-08-14T21:51:28.6881508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6881605Z yl = self.stage4(xl) 2025-08-14T21:51:28.6881807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6881872Z x = module(x) 2025-08-14T21:51:28.6882077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6882141Z y = y + f(x[j]) 2025-08-14T21:51:28.6882144Z 2025-08-14T21:51:28.6882251Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6882466Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6882533Z return mod(*inputs) 2025-08-14T21:51:28.6882734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6882882Z y = self.forward_features(x) 2025-08-14T21:51:28.6883117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6883196Z yl = self.stages(x) 2025-08-14T21:51:28.6883395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6883468Z yl = self.stage4(xl) 2025-08-14T21:51:28.6883683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6883749Z x = module(x) 2025-08-14T21:51:28.6883955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6884022Z y = y + f(x[j]) 2025-08-14T21:51:28.6884026Z 2025-08-14T21:51:28.6884136Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6884355Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6884424Z return mod(*inputs) 2025-08-14T21:51:28.6884621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6884707Z y = self.forward_features(x) 2025-08-14T21:51:28.6884959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6885038Z yl = self.stages(x) 2025-08-14T21:51:28.6885235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6885305Z yl = self.stage4(xl) 2025-08-14T21:51:28.6885512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6885576Z x = module(x) 2025-08-14T21:51:28.6885775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:51:28.6885871Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:51:28.6885874Z 2025-08-14T21:51:28.6885976Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6886182Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6886293Z return mod(*inputs) 2025-08-14T21:51:28.6886487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6886591Z y = self.forward_features(x) 2025-08-14T21:51:28.6886810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6886875Z yl = self.stages(x) 2025-08-14T21:51:28.6887069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6887135Z yl = self.stage4(xl) 2025-08-14T21:51:28.6887332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6887392Z x = module(x) 2025-08-14T21:51:28.6887582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6887656Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6887879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6887949Z x = self.conv1(x) 2025-08-14T21:51:28.6887952Z 2025-08-14T21:51:28.6888063Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6888263Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6888336Z return mod(*inputs) 2025-08-14T21:51:28.6888529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6888601Z y = self.forward_features(x) 2025-08-14T21:51:28.6888829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6888894Z yl = self.stages(x) 2025-08-14T21:51:28.6889081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6889157Z yl = self.stage4(xl) 2025-08-14T21:51:28.6889348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6889419Z x = module(x) 2025-08-14T21:51:28.6889612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6889675Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6889877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6889941Z x = self.act1(x) 2025-08-14T21:51:28.6889944Z 2025-08-14T21:51:28.6890048Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6890256Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6890321Z return mod(*inputs) 2025-08-14T21:51:28.6890517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6890590Z y = self.forward_features(x) 2025-08-14T21:51:28.6890829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6890906Z yl = self.stages(x) 2025-08-14T21:51:28.6891089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6891156Z yl = self.stage4(xl) 2025-08-14T21:51:28.6891355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6891414Z x = module(x) 2025-08-14T21:51:28.6891614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6891677Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6891872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6891944Z x = self.conv2(x) 2025-08-14T21:51:28.6891947Z 2025-08-14T21:51:28.6892052Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6892276Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6892368Z return mod(*inputs) 2025-08-14T21:51:28.6892554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6892631Z y = self.forward_features(x) 2025-08-14T21:51:28.6892843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6892906Z yl = self.stages(x) 2025-08-14T21:51:28.6893095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6893161Z yl = self.stage4(xl) 2025-08-14T21:51:28.6893347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6893415Z x = module(x) 2025-08-14T21:51:28.6893618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6893695Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6893887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6893951Z x = self.act2(x) 2025-08-14T21:51:28.6893954Z 2025-08-14T21:51:28.6894066Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6894270Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6894336Z return mod(*inputs) 2025-08-14T21:51:28.6894532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6894604Z y = self.forward_features(x) 2025-08-14T21:51:28.6894824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6894889Z yl = self.stages(x) 2025-08-14T21:51:28.6895076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6895156Z yl = self.stage4(xl) 2025-08-14T21:51:28.6895343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6895404Z x = module(x) 2025-08-14T21:51:28.6895596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6895659Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6895859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6895922Z x = self.conv1(x) 2025-08-14T21:51:28.6895925Z 2025-08-14T21:51:28.6896027Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6896238Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6896304Z return mod(*inputs) 2025-08-14T21:51:28.6896496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6896599Z y = self.forward_features(x) 2025-08-14T21:51:28.6896820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6896891Z yl = self.stages(x) 2025-08-14T21:51:28.6897077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6897143Z yl = self.stage4(xl) 2025-08-14T21:51:28.6897338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6897398Z x = module(x) 2025-08-14T21:51:28.6897584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6897653Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6897845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6897939Z x = self.act1(x) 2025-08-14T21:51:28.6897942Z 2025-08-14T21:51:28.6898047Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6898259Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6898331Z return mod(*inputs) 2025-08-14T21:51:28.6898519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6898593Z y = self.forward_features(x) 2025-08-14T21:51:28.6898815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6898883Z yl = self.stages(x) 2025-08-14T21:51:28.6899074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6899144Z yl = self.stage4(xl) 2025-08-14T21:51:28.6899346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6899418Z x = module(x) 2025-08-14T21:51:28.6899606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6899670Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6899873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6899936Z x = self.conv2(x) 2025-08-14T21:51:28.6899939Z 2025-08-14T21:51:28.6900049Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6900248Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6900313Z return mod(*inputs) 2025-08-14T21:51:28.6900507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6900579Z y = self.forward_features(x) 2025-08-14T21:51:28.6900798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6900873Z yl = self.stages(x) 2025-08-14T21:51:28.6901060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6901135Z yl = self.stage4(xl) 2025-08-14T21:51:28.6901324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6901385Z x = module(x) 2025-08-14T21:51:28.6901580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6901645Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6901837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6901908Z x = self.act2(x) 2025-08-14T21:51:28.6901911Z 2025-08-14T21:51:28.6902016Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6902221Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6902308Z return mod(*inputs) 2025-08-14T21:51:28.6902500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6902581Z y = self.forward_features(x) 2025-08-14T21:51:28.6902797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6902860Z yl = self.stages(x) 2025-08-14T21:51:28.6903052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6903117Z yl = self.stage4(xl) 2025-08-14T21:51:28.6903313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6903374Z x = module(x) 2025-08-14T21:51:28.6903559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6903631Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6903842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6903922Z x = self.conv1(x) 2025-08-14T21:51:28.6903933Z 2025-08-14T21:51:28.6904036Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6904238Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6904310Z return mod(*inputs) 2025-08-14T21:51:28.6904497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6904567Z y = self.forward_features(x) 2025-08-14T21:51:28.6904793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6904857Z yl = self.stages(x) 2025-08-14T21:51:28.6905042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6905132Z yl = self.stage4(xl) 2025-08-14T21:51:28.6905323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6905392Z x = module(x) 2025-08-14T21:51:28.6905579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6905643Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6905845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6905907Z x = self.act1(x) 2025-08-14T21:51:28.6905910Z 2025-08-14T21:51:28.6906020Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6906221Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6906284Z return mod(*inputs) 2025-08-14T21:51:28.6906487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6906565Z y = self.forward_features(x) 2025-08-14T21:51:28.6906795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6906874Z yl = self.stages(x) 2025-08-14T21:51:28.6907069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6907139Z yl = self.stage4(xl) 2025-08-14T21:51:28.6907349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6907409Z x = module(x) 2025-08-14T21:51:28.6907603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6907665Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6907859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6907929Z x = self.conv2(x) 2025-08-14T21:51:28.6907933Z 2025-08-14T21:51:28.6908036Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6908262Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6908330Z return mod(*inputs) 2025-08-14T21:51:28.6908516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6908594Z y = self.forward_features(x) 2025-08-14T21:51:28.6908811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6908875Z yl = self.stages(x) 2025-08-14T21:51:28.6909066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6909132Z yl = self.stage4(xl) 2025-08-14T21:51:28.6909319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6909384Z x = module(x) 2025-08-14T21:51:28.6909577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6909687Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6909884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6909947Z x = self.act2(x) 2025-08-14T21:51:28.6909950Z 2025-08-14T21:51:28.6910060Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6910264Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6910336Z return mod(*inputs) 2025-08-14T21:51:28.6910528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6910598Z y = self.forward_features(x) 2025-08-14T21:51:28.6910822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6910903Z yl = self.stages(x) 2025-08-14T21:51:28.6911094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6911171Z yl = self.stage4(xl) 2025-08-14T21:51:28.6911361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6911421Z x = module(x) 2025-08-14T21:51:28.6911618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6911681Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6911883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6911945Z x = self.conv1(x) 2025-08-14T21:51:28.6911948Z 2025-08-14T21:51:28.6912051Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6912259Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6912325Z return mod(*inputs) 2025-08-14T21:51:28.6912522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6912596Z y = self.forward_features(x) 2025-08-14T21:51:28.6912813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6912885Z yl = self.stages(x) 2025-08-14T21:51:28.6913072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6913138Z yl = self.stage4(xl) 2025-08-14T21:51:28.6913334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6913395Z x = module(x) 2025-08-14T21:51:28.6913592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6913656Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6913853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6913925Z x = self.act1(x) 2025-08-14T21:51:28.6913945Z 2025-08-14T21:51:28.6914051Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6914247Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6914320Z return mod(*inputs) 2025-08-14T21:51:28.6914508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6914586Z y = self.forward_features(x) 2025-08-14T21:51:28.6914800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6914864Z yl = self.stages(x) 2025-08-14T21:51:28.6915054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6915119Z yl = self.stage4(xl) 2025-08-14T21:51:28.6915307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6915396Z x = module(x) 2025-08-14T21:51:28.6915605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6915676Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6915870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6915932Z x = self.conv2(x) 2025-08-14T21:51:28.6915935Z 2025-08-14T21:51:28.6916045Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6916242Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6916308Z return mod(*inputs) 2025-08-14T21:51:28.6916501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6916571Z y = self.forward_features(x) 2025-08-14T21:51:28.6916807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6916878Z yl = self.stages(x) 2025-08-14T21:51:28.6917066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6917140Z yl = self.stage4(xl) 2025-08-14T21:51:28.6917327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6917387Z x = module(x) 2025-08-14T21:51:28.6917581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6917645Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6917850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6917912Z x = self.act2(x) 2025-08-14T21:51:28.6917916Z 2025-08-14T21:51:28.6918020Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6918237Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6918307Z return mod(*inputs) 2025-08-14T21:51:28.6918507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6918591Z y = self.forward_features(x) 2025-08-14T21:51:28.6918819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6918896Z yl = self.stages(x) 2025-08-14T21:51:28.6919094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6919164Z yl = self.stage4(xl) 2025-08-14T21:51:28.6919367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6919432Z x = module(x) 2025-08-14T21:51:28.6919629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6919702Z y = y + f(x[j]) 2025-08-14T21:51:28.6919707Z 2025-08-14T21:51:28.6919837Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6920057Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6920125Z return mod(*inputs) 2025-08-14T21:51:28.6920323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6920406Z y = self.forward_features(x) 2025-08-14T21:51:28.6920632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6920698Z yl = self.stages(x) 2025-08-14T21:51:28.6920902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6920972Z yl = self.stage4(xl) 2025-08-14T21:51:28.6921180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6921265Z x = module(x) 2025-08-14T21:51:28.6921465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6921556Z y = y + f(x[j]) 2025-08-14T21:51:28.6921559Z 2025-08-14T21:51:28.6921668Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6921876Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6921952Z return mod(*inputs) 2025-08-14T21:51:28.6922147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6922227Z y = self.forward_features(x) 2025-08-14T21:51:28.6922452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6922521Z yl = self.stages(x) 2025-08-14T21:51:28.6922751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6922904Z yl = self.stage4(xl) 2025-08-14T21:51:28.6923118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6923196Z x = module(x) 2025-08-14T21:51:28.6923399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.6923473Z y = f(x[j]) 2025-08-14T21:51:28.6923477Z 2025-08-14T21:51:28.6923590Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6923804Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6923884Z return mod(*inputs) 2025-08-14T21:51:28.6924087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6924165Z y = self.forward_features(x) 2025-08-14T21:51:28.6924416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6924487Z yl = self.stages(x) 2025-08-14T21:51:28.6924692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6924762Z yl = self.stage4(xl) 2025-08-14T21:51:28.6924959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6925030Z x = module(x) 2025-08-14T21:51:28.6925228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.6925291Z y = f(x[j]) 2025-08-14T21:51:28.6925294Z 2025-08-14T21:51:28.6925413Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6925621Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6925697Z return mod(*inputs) 2025-08-14T21:51:28.6925895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6925995Z y = self.forward_features(x) 2025-08-14T21:51:28.6926235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6926304Z yl = self.stages(x) 2025-08-14T21:51:28.6926499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6926578Z yl = self.stage4(xl) 2025-08-14T21:51:28.6926778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6926850Z x = module(x) 2025-08-14T21:51:28.6927052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.6927115Z y = f(x[j]) 2025-08-14T21:51:28.6927118Z 2025-08-14T21:51:28.6927235Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6927448Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6927540Z return mod(*inputs) 2025-08-14T21:51:28.6927780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6927854Z y = self.forward_features(x) 2025-08-14T21:51:28.6928087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6928155Z yl = self.stages(x) 2025-08-14T21:51:28.6928349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6928424Z yl = self.stage4(xl) 2025-08-14T21:51:28.6928619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6928693Z x = module(x) 2025-08-14T21:51:28.6928897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6928980Z y = y + f(x[j]) 2025-08-14T21:51:28.6928985Z 2025-08-14T21:51:28.6929108Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6929317Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6929387Z return mod(*inputs) 2025-08-14T21:51:28.6929595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6929669Z y = self.forward_features(x) 2025-08-14T21:51:28.6929897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6929973Z yl = self.stages(x) 2025-08-14T21:51:28.6930166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6930240Z yl = self.stage4(xl) 2025-08-14T21:51:28.6930456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6930520Z x = module(x) 2025-08-14T21:51:28.6930728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6930794Z y = y + f(x[j]) 2025-08-14T21:51:28.6930797Z 2025-08-14T21:51:28.6930906Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6931124Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6931192Z return mod(*inputs) 2025-08-14T21:51:28.6931407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6931481Z y = self.forward_features(x) 2025-08-14T21:51:28.6931707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6931784Z yl = self.stages(x) 2025-08-14T21:51:28.6931980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6932051Z yl = self.stage4(xl) 2025-08-14T21:51:28.6932286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6932355Z x = module(x) 2025-08-14T21:51:28.6932568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6932632Z y = y + f(x[j]) 2025-08-14T21:51:28.6932635Z 2025-08-14T21:51:28.6932743Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6932963Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6933033Z return mod(*inputs) 2025-08-14T21:51:28.6933240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6933324Z y = self.forward_features(x) 2025-08-14T21:51:28.6933557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6933662Z yl = self.stages(x) 2025-08-14T21:51:28.6933861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6933947Z yl = self.stage4(xl) 2025-08-14T21:51:28.6934158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6934220Z x = module(x) 2025-08-14T21:51:28.6934425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6934496Z y = y + f(x[j]) 2025-08-14T21:51:28.6934500Z 2025-08-14T21:51:28.6934608Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6934832Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6934898Z return mod(*inputs) 2025-08-14T21:51:28.6935113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6935197Z y = self.forward_features(x) 2025-08-14T21:51:28.6935426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6935493Z yl = self.stages(x) 2025-08-14T21:51:28.6935696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6935764Z yl = self.stage4(xl) 2025-08-14T21:51:28.6935984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6936047Z x = module(x) 2025-08-14T21:51:28.6936242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:51:28.6936332Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:51:28.6936335Z 2025-08-14T21:51:28.6936443Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6936651Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6936730Z return mod(*inputs) 2025-08-14T21:51:28.6936930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6937013Z y = self.forward_features(x) 2025-08-14T21:51:28.6937243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6937310Z yl = self.stages(x) 2025-08-14T21:51:28.6937513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6937581Z yl = self.stage4(xl) 2025-08-14T21:51:28.6937779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6937849Z x = module(x) 2025-08-14T21:51:28.6938046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6938122Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6938349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6938420Z x = self.conv1(x) 2025-08-14T21:51:28.6938424Z 2025-08-14T21:51:28.6938551Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6938745Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6938809Z return mod(*inputs) 2025-08-14T21:51:28.6939003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6939073Z y = self.forward_features(x) 2025-08-14T21:51:28.6939291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6939355Z yl = self.stages(x) 2025-08-14T21:51:28.6939539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6939614Z yl = self.stage4(xl) 2025-08-14T21:51:28.6939822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6939900Z x = module(x) 2025-08-14T21:51:28.6940096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6940160Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6940360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6940424Z x = self.act1(x) 2025-08-14T21:51:28.6940428Z 2025-08-14T21:51:28.6940530Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6940732Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6940797Z return mod(*inputs) 2025-08-14T21:51:28.6941007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6941093Z y = self.forward_features(x) 2025-08-14T21:51:28.6941333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6941409Z yl = self.stages(x) 2025-08-14T21:51:28.6941603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6941671Z yl = self.stage4(xl) 2025-08-14T21:51:28.6941874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6941939Z x = module(x) 2025-08-14T21:51:28.6942133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6942208Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6942408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6942483Z x = self.conv2(x) 2025-08-14T21:51:28.6942486Z 2025-08-14T21:51:28.6942596Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6942805Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6942885Z return mod(*inputs) 2025-08-14T21:51:28.6943079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6943154Z y = self.forward_features(x) 2025-08-14T21:51:28.6943389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6943548Z yl = self.stages(x) 2025-08-14T21:51:28.6943802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6943900Z yl = self.stage4(xl) 2025-08-14T21:51:28.6944133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6944446Z x = module(x) 2025-08-14T21:51:28.6945071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6945209Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6945440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6945568Z x = self.act2(x) 2025-08-14T21:51:28.6945573Z 2025-08-14T21:51:28.6945728Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6946000Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6946140Z return mod(*inputs) 2025-08-14T21:51:28.6946364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6946472Z y = self.forward_features(x) 2025-08-14T21:51:28.6946752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6946833Z yl = self.stages(x) 2025-08-14T21:51:28.6947074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6947266Z yl = self.stage4(xl) 2025-08-14T21:51:28.6947491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6947609Z x = module(x) 2025-08-14T21:51:28.6947835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6947913Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6948205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6948307Z x = self.conv1(x) 2025-08-14T21:51:28.6948315Z 2025-08-14T21:51:28.6948450Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6948724Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6948846Z return mod(*inputs) 2025-08-14T21:51:28.6949092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6949207Z y = self.forward_features(x) 2025-08-14T21:51:28.6949445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6949586Z yl = self.stages(x) 2025-08-14T21:51:28.6949796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6949886Z yl = self.stage4(xl) 2025-08-14T21:51:28.6950142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6950251Z x = module(x) 2025-08-14T21:51:28.6950503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6950595Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6950825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6950940Z x = self.act1(x) 2025-08-14T21:51:28.6950945Z 2025-08-14T21:51:28.6951099Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6951376Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6951469Z return mod(*inputs) 2025-08-14T21:51:28.6951688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6951817Z y = self.forward_features(x) 2025-08-14T21:51:28.6952060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6952178Z yl = self.stages(x) 2025-08-14T21:51:28.6952450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6952539Z yl = self.stage4(xl) 2025-08-14T21:51:28.6952779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6952882Z x = module(x) 2025-08-14T21:51:28.6953087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6953230Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6953466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6953551Z x = self.conv2(x) 2025-08-14T21:51:28.6953585Z 2025-08-14T21:51:28.6953715Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6953940Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6954073Z return mod(*inputs) 2025-08-14T21:51:28.6954303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6954400Z y = self.forward_features(x) 2025-08-14T21:51:28.6954681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6954799Z yl = self.stages(x) 2025-08-14T21:51:28.6955057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6955182Z yl = self.stage4(xl) 2025-08-14T21:51:28.6955420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6955522Z x = module(x) 2025-08-14T21:51:28.6971817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6972012Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6972274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6972337Z x = self.act2(x) 2025-08-14T21:51:28.6972345Z 2025-08-14T21:51:28.6972464Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6972810Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6972897Z return mod(*inputs) 2025-08-14T21:51:28.6973101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6973192Z y = self.forward_features(x) 2025-08-14T21:51:28.6973419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6973483Z yl = self.stages(x) 2025-08-14T21:51:28.6973667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6973737Z yl = self.stage4(xl) 2025-08-14T21:51:28.6973920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6973982Z x = module(x) 2025-08-14T21:51:28.6974166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6974229Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6974425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6974487Z x = self.conv1(x) 2025-08-14T21:51:28.6974490Z 2025-08-14T21:51:28.6974596Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6974803Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6974866Z return mod(*inputs) 2025-08-14T21:51:28.6975052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6975124Z y = self.forward_features(x) 2025-08-14T21:51:28.6975335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6975404Z yl = self.stages(x) 2025-08-14T21:51:28.6975588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6975653Z yl = self.stage4(xl) 2025-08-14T21:51:28.6975869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6975930Z x = module(x) 2025-08-14T21:51:28.6976118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6976177Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6976361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6976423Z x = self.act1(x) 2025-08-14T21:51:28.6976427Z 2025-08-14T21:51:28.6976531Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6976728Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6976791Z return mod(*inputs) 2025-08-14T21:51:28.6976970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6977085Z y = self.forward_features(x) 2025-08-14T21:51:28.6977295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6977381Z yl = self.stages(x) 2025-08-14T21:51:28.6977567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6977630Z yl = self.stage4(xl) 2025-08-14T21:51:28.6977812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6977873Z x = module(x) 2025-08-14T21:51:28.6978057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6978119Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6978305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6978380Z x = self.conv2(x) 2025-08-14T21:51:28.6978384Z 2025-08-14T21:51:28.6978494Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6978685Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6978746Z return mod(*inputs) 2025-08-14T21:51:28.6978929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6978998Z y = self.forward_features(x) 2025-08-14T21:51:28.6979207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6979269Z yl = self.stages(x) 2025-08-14T21:51:28.6979447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6979511Z yl = self.stage4(xl) 2025-08-14T21:51:28.6979688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6979745Z x = module(x) 2025-08-14T21:51:28.6979929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6979989Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6980177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6980234Z x = self.act2(x) 2025-08-14T21:51:28.6980238Z 2025-08-14T21:51:28.6980337Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6980527Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6980586Z return mod(*inputs) 2025-08-14T21:51:28.6980766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6980836Z y = self.forward_features(x) 2025-08-14T21:51:28.6981047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6981110Z yl = self.stages(x) 2025-08-14T21:51:28.6981309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6981372Z yl = self.stage4(xl) 2025-08-14T21:51:28.6981553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6981608Z x = module(x) 2025-08-14T21:51:28.6981789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6981850Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6982041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6982105Z x = self.conv1(x) 2025-08-14T21:51:28.6982109Z 2025-08-14T21:51:28.6982206Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6982392Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6982455Z return mod(*inputs) 2025-08-14T21:51:28.6982651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6982735Z y = self.forward_features(x) 2025-08-14T21:51:28.6982945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6983005Z yl = self.stages(x) 2025-08-14T21:51:28.6983185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6983245Z yl = self.stage4(xl) 2025-08-14T21:51:28.6983424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6983480Z x = module(x) 2025-08-14T21:51:28.6983661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6983720Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6983925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6983986Z x = self.act1(x) 2025-08-14T21:51:28.6983991Z 2025-08-14T21:51:28.6984089Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6984277Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6984336Z return mod(*inputs) 2025-08-14T21:51:28.6984518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6984583Z y = self.forward_features(x) 2025-08-14T21:51:28.6984783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6984845Z yl = self.stages(x) 2025-08-14T21:51:28.6985022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6985083Z yl = self.stage4(xl) 2025-08-14T21:51:28.6985263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6985320Z x = module(x) 2025-08-14T21:51:28.6985503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6985562Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6985746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6985807Z x = self.conv2(x) 2025-08-14T21:51:28.6985810Z 2025-08-14T21:51:28.6985905Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6986097Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6986155Z return mod(*inputs) 2025-08-14T21:51:28.6986335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6986403Z y = self.forward_features(x) 2025-08-14T21:51:28.6986624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6986688Z yl = self.stages(x) 2025-08-14T21:51:28.6986867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6986926Z yl = self.stage4(xl) 2025-08-14T21:51:28.6987105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6987160Z x = module(x) 2025-08-14T21:51:28.6987336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6987397Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6987581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6987637Z x = self.act2(x) 2025-08-14T21:51:28.6987643Z 2025-08-14T21:51:28.6987748Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6987941Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6988049Z return mod(*inputs) 2025-08-14T21:51:28.6988231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6988301Z y = self.forward_features(x) 2025-08-14T21:51:28.6988520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6988585Z yl = self.stages(x) 2025-08-14T21:51:28.6988761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6988834Z yl = self.stage4(xl) 2025-08-14T21:51:28.6989015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6989083Z x = module(x) 2025-08-14T21:51:28.6989277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6989340Z y = y + f(x[j]) 2025-08-14T21:51:28.6989345Z 2025-08-14T21:51:28.6989455Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6989648Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6989720Z return mod(*inputs) 2025-08-14T21:51:28.6989904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6989972Z y = self.forward_features(x) 2025-08-14T21:51:28.6990189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6990252Z yl = self.stages(x) 2025-08-14T21:51:28.6990433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6990504Z yl = self.stage4(xl) 2025-08-14T21:51:28.6990690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6990753Z x = module(x) 2025-08-14T21:51:28.6990946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.6991006Z y = y + f(x[j]) 2025-08-14T21:51:28.6991009Z 2025-08-14T21:51:28.6991118Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6991313Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6991376Z return mod(*inputs) 2025-08-14T21:51:28.6991567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6991637Z y = self.forward_features(x) 2025-08-14T21:51:28.6991854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6991919Z yl = self.stages(x) 2025-08-14T21:51:28.6992104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6992196Z yl = self.stage4(xl) 2025-08-14T21:51:28.6992381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6992441Z x = module(x) 2025-08-14T21:51:28.6992630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6992692Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6992891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.6992961Z x = self.conv1(x) 2025-08-14T21:51:28.6992964Z 2025-08-14T21:51:28.6993062Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6993259Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6993322Z return mod(*inputs) 2025-08-14T21:51:28.6993499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6993597Z y = self.forward_features(x) 2025-08-14T21:51:28.6993822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6993895Z yl = self.stages(x) 2025-08-14T21:51:28.6994072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6994136Z yl = self.stage4(xl) 2025-08-14T21:51:28.6994331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6994390Z x = module(x) 2025-08-14T21:51:28.6994573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6994645Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6994849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.6994911Z x = self.act1(x) 2025-08-14T21:51:28.6994923Z 2025-08-14T21:51:28.6995027Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6995223Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6995294Z return mod(*inputs) 2025-08-14T21:51:28.6995480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6995551Z y = self.forward_features(x) 2025-08-14T21:51:28.6995772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6995836Z yl = self.stages(x) 2025-08-14T21:51:28.6996030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6996096Z yl = self.stage4(xl) 2025-08-14T21:51:28.6996284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6996356Z x = module(x) 2025-08-14T21:51:28.6996546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6996613Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6996818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.6996884Z x = self.conv2(x) 2025-08-14T21:51:28.6996887Z 2025-08-14T21:51:28.6996999Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6997200Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6997267Z return mod(*inputs) 2025-08-14T21:51:28.6997464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6997536Z y = self.forward_features(x) 2025-08-14T21:51:28.6997757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6997834Z yl = self.stages(x) 2025-08-14T21:51:28.6998048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.6998128Z yl = self.stage4(xl) 2025-08-14T21:51:28.6998322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.6998385Z x = module(x) 2025-08-14T21:51:28.6998583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.6998648Z x[i] = branch(x[i]) 2025-08-14T21:51:28.6998847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.6998918Z x = self.act2(x) 2025-08-14T21:51:28.6998921Z 2025-08-14T21:51:28.6999026Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.6999240Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.6999326Z return mod(*inputs) 2025-08-14T21:51:28.6999520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.6999623Z y = self.forward_features(x) 2025-08-14T21:51:28.6999844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.6999910Z yl = self.stages(x) 2025-08-14T21:51:28.7000106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7000172Z yl = self.stage4(xl) 2025-08-14T21:51:28.7000372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7000435Z x = module(x) 2025-08-14T21:51:28.7000626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7000717Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7000917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.7000985Z x = self.conv1(x) 2025-08-14T21:51:28.7000988Z 2025-08-14T21:51:28.7001101Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7001304Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7001377Z return mod(*inputs) 2025-08-14T21:51:28.7001566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7001638Z y = self.forward_features(x) 2025-08-14T21:51:28.7001861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7001926Z yl = self.stages(x) 2025-08-14T21:51:28.7002112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7002186Z yl = self.stage4(xl) 2025-08-14T21:51:28.7002377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7002446Z x = module(x) 2025-08-14T21:51:28.7002634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7002699Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7003020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.7003095Z x = self.act1(x) 2025-08-14T21:51:28.7003100Z 2025-08-14T21:51:28.7003220Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7003455Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7003527Z return mod(*inputs) 2025-08-14T21:51:28.7003730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7003819Z y = self.forward_features(x) 2025-08-14T21:51:28.7004083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7004151Z yl = self.stages(x) 2025-08-14T21:51:28.7004346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7004413Z yl = self.stage4(xl) 2025-08-14T21:51:28.7004600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7004672Z x = module(x) 2025-08-14T21:51:28.7004869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7004940Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7005129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.7005192Z x = self.conv2(x) 2025-08-14T21:51:28.7005195Z 2025-08-14T21:51:28.7005304Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7005521Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7005612Z return mod(*inputs) 2025-08-14T21:51:28.7005791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7005861Z y = self.forward_features(x) 2025-08-14T21:51:28.7006075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7006139Z yl = self.stages(x) 2025-08-14T21:51:28.7006318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7006389Z yl = self.stage4(xl) 2025-08-14T21:51:28.7006603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7006670Z x = module(x) 2025-08-14T21:51:28.7006872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7006941Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7007140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.7007203Z x = self.act2(x) 2025-08-14T21:51:28.7007206Z 2025-08-14T21:51:28.7007308Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7007511Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7007576Z return mod(*inputs) 2025-08-14T21:51:28.7007768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7007838Z y = self.forward_features(x) 2025-08-14T21:51:28.7008051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7008123Z yl = self.stages(x) 2025-08-14T21:51:28.7008343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7008411Z yl = self.stage4(xl) 2025-08-14T21:51:28.7008606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7008665Z x = module(x) 2025-08-14T21:51:28.7008862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7008926Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7009119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.7009190Z x = self.conv1(x) 2025-08-14T21:51:28.7009193Z 2025-08-14T21:51:28.7009295Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7009490Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7009564Z return mod(*inputs) 2025-08-14T21:51:28.7009769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7009851Z y = self.forward_features(x) 2025-08-14T21:51:28.7010068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7010133Z yl = self.stages(x) 2025-08-14T21:51:28.7010330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7010395Z yl = self.stage4(xl) 2025-08-14T21:51:28.7010584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7010656Z x = module(x) 2025-08-14T21:51:28.7010844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7010916Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7011118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.7011214Z x = self.act1(x) 2025-08-14T21:51:28.7011219Z 2025-08-14T21:51:28.7011375Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7011575Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7011640Z return mod(*inputs) 2025-08-14T21:51:28.7011836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7011907Z y = self.forward_features(x) 2025-08-14T21:51:28.7012130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7012194Z yl = self.stages(x) 2025-08-14T21:51:28.7012380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7012453Z yl = self.stage4(xl) 2025-08-14T21:51:28.7012660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7012724Z x = module(x) 2025-08-14T21:51:28.7012922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7012988Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7013197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.7013260Z x = self.conv2(x) 2025-08-14T21:51:28.7013263Z 2025-08-14T21:51:28.7013368Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7013571Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7013638Z return mod(*inputs) 2025-08-14T21:51:28.7013824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7013905Z y = self.forward_features(x) 2025-08-14T21:51:28.7014122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7014197Z yl = self.stages(x) 2025-08-14T21:51:28.7014383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7014449Z yl = self.stage4(xl) 2025-08-14T21:51:28.7014644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7014705Z x = module(x) 2025-08-14T21:51:28.7014890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7014961Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7015153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.7015223Z x = self.act2(x) 2025-08-14T21:51:28.7015226Z 2025-08-14T21:51:28.7015331Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7015532Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7015624Z return mod(*inputs) 2025-08-14T21:51:28.7015811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7015882Z y = self.forward_features(x) 2025-08-14T21:51:28.7016104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7016169Z yl = self.stages(x) 2025-08-14T21:51:28.7016366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7016433Z yl = self.stage4(xl) 2025-08-14T21:51:28.7016621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7016689Z x = module(x) 2025-08-14T21:51:28.7016877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7016944Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7017165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.7017245Z x = self.conv1(x) 2025-08-14T21:51:28.7017248Z 2025-08-14T21:51:28.7017359Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7017559Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7017624Z return mod(*inputs) 2025-08-14T21:51:28.7017818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7017889Z y = self.forward_features(x) 2025-08-14T21:51:28.7018102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7018175Z yl = self.stages(x) 2025-08-14T21:51:28.7018384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7018460Z yl = self.stage4(xl) 2025-08-14T21:51:28.7018647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7018709Z x = module(x) 2025-08-14T21:51:28.7018900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7018964Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7019157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.7019229Z x = self.act1(x) 2025-08-14T21:51:28.7019232Z 2025-08-14T21:51:28.7019335Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7019538Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7019601Z return mod(*inputs) 2025-08-14T21:51:28.7019789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7019870Z y = self.forward_features(x) 2025-08-14T21:51:28.7020084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7020150Z yl = self.stages(x) 2025-08-14T21:51:28.7020342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7020407Z yl = self.stage4(xl) 2025-08-14T21:51:28.7020601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7020675Z x = module(x) 2025-08-14T21:51:28.7020860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7020925Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7021126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.7021189Z x = self.conv2(x) 2025-08-14T21:51:28.7021194Z 2025-08-14T21:51:28.7021305Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7021522Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7021590Z return mod(*inputs) 2025-08-14T21:51:28.7021783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7021856Z y = self.forward_features(x) 2025-08-14T21:51:28.7022072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7022146Z yl = self.stages(x) 2025-08-14T21:51:28.7022328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7022403Z yl = self.stage4(xl) 2025-08-14T21:51:28.7022591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7022652Z x = module(x) 2025-08-14T21:51:28.7022858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.7022949Z y = f(x[j]) 2025-08-14T21:51:28.7022954Z 2025-08-14T21:51:28.7023054Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7023252Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7023316Z return mod(*inputs) 2025-08-14T21:51:28.7023504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7023573Z y = self.forward_features(x) 2025-08-14T21:51:28.7023781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7023853Z yl = self.stages(x) 2025-08-14T21:51:28.7024032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7024112Z yl = self.stage4(xl) 2025-08-14T21:51:28.7024305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7024366Z x = module(x) 2025-08-14T21:51:28.7024555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.7024615Z y = f(x[j]) 2025-08-14T21:51:28.7024619Z 2025-08-14T21:51:28.7024718Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7024916Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7024980Z return mod(*inputs) 2025-08-14T21:51:28.7025157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7025233Z y = self.forward_features(x) 2025-08-14T21:51:28.7025440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7025511Z yl = self.stages(x) 2025-08-14T21:51:28.7025692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7025758Z yl = self.stage4(xl) 2025-08-14T21:51:28.7025947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7026006Z x = module(x) 2025-08-14T21:51:28.7026186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.7026252Z y = f(x[j]) 2025-08-14T21:51:28.7026256Z 2025-08-14T21:51:28.7026354Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7026554Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7026616Z return mod(*inputs) 2025-08-14T21:51:28.7026795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7026871Z y = self.forward_features(x) 2025-08-14T21:51:28.7027099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7027166Z yl = self.stages(x) 2025-08-14T21:51:28.7027352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7027416Z yl = self.stage4(xl) 2025-08-14T21:51:28.7027606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7027666Z x = module(x) 2025-08-14T21:51:28.7027849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.7027916Z y = f(x[j]) 2025-08-14T21:51:28.7027920Z 2025-08-14T21:51:28.7028019Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7028210Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7028281Z return mod(*inputs) 2025-08-14T21:51:28.7028483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7028579Z y = self.forward_features(x) 2025-08-14T21:51:28.7028787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7028851Z yl = self.stages(x) 2025-08-14T21:51:28.7029039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7029103Z yl = self.stage4(xl) 2025-08-14T21:51:28.7029283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7029350Z x = module(x) 2025-08-14T21:51:28.7029532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.7029599Z y = f(x[j]) 2025-08-14T21:51:28.7029602Z 2025-08-14T21:51:28.7029717Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7029912Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7029986Z return mod(*inputs) 2025-08-14T21:51:28.7030167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7030236Z y = self.forward_features(x) 2025-08-14T21:51:28.7030455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7030519Z yl = self.stages(x) 2025-08-14T21:51:28.7030704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7030769Z yl = self.stage4(xl) 2025-08-14T21:51:28.7030951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7031019Z x = module(x) 2025-08-14T21:51:28.7031248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.7031312Z y = y + f(x[j]) 2025-08-14T21:51:28.7031324Z 2025-08-14T21:51:28.7031426Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7031618Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7031689Z return mod(*inputs) 2025-08-14T21:51:28.7031870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7031939Z y = self.forward_features(x) 2025-08-14T21:51:28.7032154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7032218Z yl = self.stages(x) 2025-08-14T21:51:28.7032396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7032468Z yl = self.stage4(xl) 2025-08-14T21:51:28.7032667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7032739Z x = module(x) 2025-08-14T21:51:28.7032922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.7032982Z y = y + f(x[j]) 2025-08-14T21:51:28.7032985Z 2025-08-14T21:51:28.7033092Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7033284Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7033355Z return mod(*inputs) 2025-08-14T21:51:28.7033540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7033609Z y = self.forward_features(x) 2025-08-14T21:51:28.7033826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7033891Z yl = self.stages(x) 2025-08-14T21:51:28.7034073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7034178Z yl = self.stage4(xl) 2025-08-14T21:51:28.7034365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7034424Z x = module(x) 2025-08-14T21:51:28.7034618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.7034677Z y = y + f(x[j]) 2025-08-14T21:51:28.7034680Z 2025-08-14T21:51:28.7034788Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7034985Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7035048Z return mod(*inputs) 2025-08-14T21:51:28.7035241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7035326Z y = self.forward_features(x) 2025-08-14T21:51:28.7035548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7035615Z yl = self.stages(x) 2025-08-14T21:51:28.7035794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7035866Z yl = self.stage4(xl) 2025-08-14T21:51:28.7036050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7036111Z x = module(x) 2025-08-14T21:51:28.7036300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.7036358Z y = y + f(x[j]) 2025-08-14T21:51:28.7036361Z 2025-08-14T21:51:28.7036469Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7036661Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7036725Z return mod(*inputs) 2025-08-14T21:51:28.7036917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7036988Z y = self.forward_features(x) 2025-08-14T21:51:28.7037196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7037267Z yl = self.stages(x) 2025-08-14T21:51:28.7037446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7037515Z yl = self.stage4(xl) 2025-08-14T21:51:28.7037704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7037761Z x = module(x) 2025-08-14T21:51:28.7037946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.7038003Z y = y + f(x[j]) 2025-08-14T21:51:28.7038005Z 2025-08-14T21:51:28.7038103Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7038312Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7038379Z return mod(*inputs) 2025-08-14T21:51:28.7038565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7038633Z y = self.forward_features(x) 2025-08-14T21:51:28.7038841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7038909Z yl = self.stages(x) 2025-08-14T21:51:28.7039086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7039149Z yl = self.stage4(xl) 2025-08-14T21:51:28.7039330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7039388Z x = module(x) 2025-08-14T21:51:28.7039572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.7039648Z y = y + f(x[j]) 2025-08-14T21:51:28.7039675Z 2025-08-14T21:51:28.7039774Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7039965Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7040027Z return mod(*inputs) 2025-08-14T21:51:28.7040203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7040279Z y = self.forward_features(x) 2025-08-14T21:51:28.7040490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7040558Z yl = self.stages(x) 2025-08-14T21:51:28.7040736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7040797Z yl = self.stage4(xl) 2025-08-14T21:51:28.7040995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7041057Z x = module(x) 2025-08-14T21:51:28.7041237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:51:28.7041321Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:51:28.7041325Z 2025-08-14T21:51:28.7041422Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7041616Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7041678Z return mod(*inputs) 2025-08-14T21:51:28.7041856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7041931Z y = self.forward_features(x) 2025-08-14T21:51:28.7042140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7042202Z yl = self.stages(x) 2025-08-14T21:51:28.7042389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7042456Z yl = self.stage4(xl) 2025-08-14T21:51:28.7042647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7042707Z x = module(x) 2025-08-14T21:51:28.7042969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7043049Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7043253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.7043321Z x = self.conv1(x) 2025-08-14T21:51:28.7043325Z 2025-08-14T21:51:28.7043444Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7043654Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7043733Z return mod(*inputs) 2025-08-14T21:51:28.7043954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7044035Z y = self.forward_features(x) 2025-08-14T21:51:28.7044282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7044346Z yl = self.stages(x) 2025-08-14T21:51:28.7044532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7044822Z yl = self.stage4(xl) 2025-08-14T21:51:28.7045029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7045099Z x = module(x) 2025-08-14T21:51:28.7045284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7045347Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7045546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.7045692Z x = self.act1(x) 2025-08-14T21:51:28.7045697Z 2025-08-14T21:51:28.7045823Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7046023Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7046087Z return mod(*inputs) 2025-08-14T21:51:28.7046277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7046347Z y = self.forward_features(x) 2025-08-14T21:51:28.7046555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7046629Z yl = self.stages(x) 2025-08-14T21:51:28.7046808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7046872Z yl = self.stage4(xl) 2025-08-14T21:51:28.7047093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7047158Z x = module(x) 2025-08-14T21:51:28.7047351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7047414Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7047602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.7047672Z x = self.conv2(x) 2025-08-14T21:51:28.7047674Z 2025-08-14T21:51:28.7047775Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7047965Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7048037Z return mod(*inputs) 2025-08-14T21:51:28.7048217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7048293Z y = self.forward_features(x) 2025-08-14T21:51:28.7048505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7048573Z yl = self.stages(x) 2025-08-14T21:51:28.7048762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7048824Z yl = self.stage4(xl) 2025-08-14T21:51:28.7049005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7049073Z x = module(x) 2025-08-14T21:51:28.7049257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7049324Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7049509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.7049569Z x = self.act2(x) 2025-08-14T21:51:28.7049572Z 2025-08-14T21:51:28.7049679Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7049872Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7049966Z return mod(*inputs) 2025-08-14T21:51:28.7050154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7050223Z y = self.forward_features(x) 2025-08-14T21:51:28.7050436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7050499Z yl = self.stages(x) 2025-08-14T21:51:28.7050677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7050748Z yl = self.stage4(xl) 2025-08-14T21:51:28.7050928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7050986Z x = module(x) 2025-08-14T21:51:28.7051175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7051238Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7051451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.7051532Z x = self.conv1(x) 2025-08-14T21:51:28.7051535Z 2025-08-14T21:51:28.7051636Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7051837Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7051900Z return mod(*inputs) 2025-08-14T21:51:28.7052083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7052159Z y = self.forward_features(x) 2025-08-14T21:51:28.7052370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7052439Z yl = self.stages(x) 2025-08-14T21:51:28.7052637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7052705Z yl = self.stage4(xl) 2025-08-14T21:51:28.7052891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7052951Z x = module(x) 2025-08-14T21:51:28.7053137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7053206Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7053398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.7053466Z x = self.act1(x) 2025-08-14T21:51:28.7053469Z 2025-08-14T21:51:28.7053568Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7053762Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7053836Z return mod(*inputs) 2025-08-14T21:51:28.7054026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7054097Z y = self.forward_features(x) 2025-08-14T21:51:28.7054322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7054384Z yl = self.stages(x) 2025-08-14T21:51:28.7054566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7054627Z yl = self.stage4(xl) 2025-08-14T21:51:28.7054813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7054881Z x = module(x) 2025-08-14T21:51:28.7055065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7055127Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7055326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.7055388Z x = self.conv2(x) 2025-08-14T21:51:28.7055393Z 2025-08-14T21:51:28.7055504Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7055714Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7055782Z return mod(*inputs) 2025-08-14T21:51:28.7055970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7056038Z y = self.forward_features(x) 2025-08-14T21:51:28.7056244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7056316Z yl = self.stages(x) 2025-08-14T21:51:28.7056496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7056566Z yl = self.stage4(xl) 2025-08-14T21:51:28.7056747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7056806Z x = module(x) 2025-08-14T21:51:28.7056992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7057086Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7057275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.7057344Z x = self.act2(x) 2025-08-14T21:51:28.7057347Z 2025-08-14T21:51:28.7057447Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7057646Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7057710Z return mod(*inputs) 2025-08-14T21:51:28.7057894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7057970Z y = self.forward_features(x) 2025-08-14T21:51:28.7058185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7058265Z yl = self.stages(x) 2025-08-14T21:51:28.7058455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7058522Z yl = self.stage4(xl) 2025-08-14T21:51:28.7058710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7058769Z x = module(x) 2025-08-14T21:51:28.7058951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7059022Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7059210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.7059271Z x = self.conv1(x) 2025-08-14T21:51:28.7059274Z 2025-08-14T21:51:28.7059381Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7059572Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7059644Z return mod(*inputs) 2025-08-14T21:51:28.7059827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7059898Z y = self.forward_features(x) 2025-08-14T21:51:28.7060113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7060175Z yl = self.stages(x) 2025-08-14T21:51:28.7060353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7060426Z yl = self.stage4(xl) 2025-08-14T21:51:28.7060607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7060674Z x = module(x) 2025-08-14T21:51:28.7060853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7060915Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7061107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.7061189Z x = self.act1(x) 2025-08-14T21:51:28.7061194Z 2025-08-14T21:51:28.7061294Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7061489Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7061551Z return mod(*inputs) 2025-08-14T21:51:28.7061737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7061807Z y = self.forward_features(x) 2025-08-14T21:51:28.7062014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7062084Z yl = self.stages(x) 2025-08-14T21:51:28.7062261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7062323Z yl = self.stage4(xl) 2025-08-14T21:51:28.7062512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7062601Z x = module(x) 2025-08-14T21:51:28.7062807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7062868Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7063054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.7063121Z x = self.conv2(x) 2025-08-14T21:51:28.7063125Z 2025-08-14T21:51:28.7063224Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7063415Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7063486Z return mod(*inputs) 2025-08-14T21:51:28.7063664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7063738Z y = self.forward_features(x) 2025-08-14T21:51:28.7063964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7064031Z yl = self.stages(x) 2025-08-14T21:51:28.7064218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7064282Z yl = self.stage4(xl) 2025-08-14T21:51:28.7064464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7064530Z x = module(x) 2025-08-14T21:51:28.7064710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7064777Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7064962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.7065024Z x = self.act2(x) 2025-08-14T21:51:28.7065027Z 2025-08-14T21:51:28.7065134Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7065326Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7065391Z return mod(*inputs) 2025-08-14T21:51:28.7065579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7065648Z y = self.forward_features(x) 2025-08-14T21:51:28.7065873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7065934Z yl = self.stages(x) 2025-08-14T21:51:28.7066107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7066176Z yl = self.stage4(xl) 2025-08-14T21:51:28.7066353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7066410Z x = module(x) 2025-08-14T21:51:28.7066597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7066661Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7066866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.7066931Z x = self.conv1(x) 2025-08-14T21:51:28.7066934Z 2025-08-14T21:51:28.7067031Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7067227Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7067291Z return mod(*inputs) 2025-08-14T21:51:28.7067468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7067543Z y = self.forward_features(x) 2025-08-14T21:51:28.7067748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7067817Z yl = self.stages(x) 2025-08-14T21:51:28.7067994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7068076Z yl = self.stage4(xl) 2025-08-14T21:51:28.7068277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7068335Z x = module(x) 2025-08-14T21:51:28.7068510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7068578Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7068760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.7068827Z x = self.act1(x) 2025-08-14T21:51:28.7068830Z 2025-08-14T21:51:28.7068938Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7069127Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7069198Z return mod(*inputs) 2025-08-14T21:51:28.7069403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7069474Z y = self.forward_features(x) 2025-08-14T21:51:28.7069686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7069747Z yl = self.stages(x) 2025-08-14T21:51:28.7069927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7069990Z yl = self.stage4(xl) 2025-08-14T21:51:28.7070170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7070241Z x = module(x) 2025-08-14T21:51:28.7070419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7070481Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7070677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.7070741Z x = self.conv2(x) 2025-08-14T21:51:28.7070745Z 2025-08-14T21:51:28.7070853Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7071045Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7071108Z return mod(*inputs) 2025-08-14T21:51:28.7071299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7071369Z y = self.forward_features(x) 2025-08-14T21:51:28.7071579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7071650Z yl = self.stages(x) 2025-08-14T21:51:28.7071831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7071903Z yl = self.stage4(xl) 2025-08-14T21:51:28.7072085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7072146Z x = module(x) 2025-08-14T21:51:28.7072353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7072418Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7072606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.7072674Z x = self.act2(x) 2025-08-14T21:51:28.7072677Z 2025-08-14T21:51:28.7072777Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7072975Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7073038Z return mod(*inputs) 2025-08-14T21:51:28.7073221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7073300Z y = self.forward_features(x) 2025-08-14T21:51:28.7073509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7073590Z yl = self.stages(x) 2025-08-14T21:51:28.7073784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7073864Z yl = self.stage4(xl) 2025-08-14T21:51:28.7074057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7074116Z x = module(x) 2025-08-14T21:51:28.7074298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.7074362Z y = f(x[j]) 2025-08-14T21:51:28.7074365Z 2025-08-14T21:51:28.7074465Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7074661Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7074725Z return mod(*inputs) 2025-08-14T21:51:28.7074924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7075001Z y = self.forward_features(x) 2025-08-14T21:51:28.7075215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7075280Z yl = self.stages(x) 2025-08-14T21:51:28.7075465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7075526Z yl = self.stage4(xl) 2025-08-14T21:51:28.7075708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7075773Z x = module(x) 2025-08-14T21:51:28.7075954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.7076019Z y = f(x[j]) 2025-08-14T21:51:28.7076023Z 2025-08-14T21:51:28.7076125Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7076316Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7076388Z return mod(*inputs) 2025-08-14T21:51:28.7076569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7076648Z y = self.forward_features(x) 2025-08-14T21:51:28.7076857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7076918Z yl = self.stages(x) 2025-08-14T21:51:28.7077103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7077168Z yl = self.stage4(xl) 2025-08-14T21:51:28.7077350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7077417Z x = module(x) 2025-08-14T21:51:28.7077599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.7077656Z y = f(x[j]) 2025-08-14T21:51:28.7077668Z 2025-08-14T21:51:28.7077767Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7077998Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7078073Z return mod(*inputs) 2025-08-14T21:51:28.7078255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7078325Z y = self.forward_features(x) 2025-08-14T21:51:28.7078542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7078606Z yl = self.stages(x) 2025-08-14T21:51:28.7078795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7078860Z yl = self.stage4(xl) 2025-08-14T21:51:28.7079044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7079113Z x = module(x) 2025-08-14T21:51:28.7079294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.7079389Z y = f(x[j]) 2025-08-14T21:51:28.7079392Z 2025-08-14T21:51:28.7079502Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7079696Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7079767Z return mod(*inputs) 2025-08-14T21:51:28.7079949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7080019Z y = self.forward_features(x) 2025-08-14T21:51:28.7080239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7080304Z yl = self.stages(x) 2025-08-14T21:51:28.7080486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7080576Z yl = self.stage4(xl) 2025-08-14T21:51:28.7080766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7080833Z x = module(x) 2025-08-14T21:51:28.7081017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.7081075Z y = f(x[j]) 2025-08-14T21:51:28.7081078Z 2025-08-14T21:51:28.7081182Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7081376Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7081439Z return mod(*inputs) 2025-08-14T21:51:28.7081631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7081699Z y = self.forward_features(x) 2025-08-14T21:51:28.7081918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7081983Z yl = self.stages(x) 2025-08-14T21:51:28.7082168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7082242Z yl = self.stage4(xl) 2025-08-14T21:51:28.7082432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7082491Z x = module(x) 2025-08-14T21:51:28.7082689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.7082749Z y = f(x[j]) 2025-08-14T21:51:28.7082752Z 2025-08-14T21:51:28.7082940Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7083141Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7083207Z return mod(*inputs) 2025-08-14T21:51:28.7083401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7083480Z y = self.forward_features(x) 2025-08-14T21:51:28.7083740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7083823Z yl = self.stages(x) 2025-08-14T21:51:28.7084022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7084101Z yl = self.stage4(xl) 2025-08-14T21:51:28.7084301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7084366Z x = module(x) 2025-08-14T21:51:28.7084572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.7084637Z y = y + f(x[j]) 2025-08-14T21:51:28.7084641Z 2025-08-14T21:51:28.7084758Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7084967Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7085036Z return mod(*inputs) 2025-08-14T21:51:28.7085251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7085353Z y = self.forward_features(x) 2025-08-14T21:51:28.7085563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7085634Z yl = self.stages(x) 2025-08-14T21:51:28.7085812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7085876Z yl = self.stage4(xl) 2025-08-14T21:51:28.7086065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7086124Z x = module(x) 2025-08-14T21:51:28.7086315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.7086374Z y = y + f(x[j]) 2025-08-14T21:51:28.7086377Z 2025-08-14T21:51:28.7086493Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7086695Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7086760Z return mod(*inputs) 2025-08-14T21:51:28.7086938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7087016Z y = self.forward_features(x) 2025-08-14T21:51:28.7087222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7087289Z yl = self.stages(x) 2025-08-14T21:51:28.7087467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7087529Z yl = self.stage4(xl) 2025-08-14T21:51:28.7087715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7087773Z x = module(x) 2025-08-14T21:51:28.7087956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.7088025Z y = y + f(x[j]) 2025-08-14T21:51:28.7088030Z 2025-08-14T21:51:28.7088129Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7088329Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7088393Z return mod(*inputs) 2025-08-14T21:51:28.7088572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7088651Z y = self.forward_features(x) 2025-08-14T21:51:28.7088859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7088921Z yl = self.stages(x) 2025-08-14T21:51:28.7089107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7089171Z yl = self.stage4(xl) 2025-08-14T21:51:28.7089376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7089441Z x = module(x) 2025-08-14T21:51:28.7089623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.7089690Z y = y + f(x[j]) 2025-08-14T21:51:28.7089693Z 2025-08-14T21:51:28.7089793Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7089983Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7090056Z return mod(*inputs) 2025-08-14T21:51:28.7090237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7090314Z y = self.forward_features(x) 2025-08-14T21:51:28.7090523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7090588Z yl = self.stages(x) 2025-08-14T21:51:28.7090775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7090875Z yl = self.stage4(xl) 2025-08-14T21:51:28.7091059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7091127Z x = module(x) 2025-08-14T21:51:28.7091314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:51:28.7091399Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:51:28.7091403Z 2025-08-14T21:51:28.7091505Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7091700Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7091774Z return mod(*inputs) 2025-08-14T21:51:28.7091958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7092045Z y = self.forward_features(x) 2025-08-14T21:51:28.7092266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7092331Z yl = self.stages(x) 2025-08-14T21:51:28.7092517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7092581Z yl = self.stage4(xl) 2025-08-14T21:51:28.7092761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7092829Z x = module(x) 2025-08-14T21:51:28.7093011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7093071Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7093265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.7093326Z x = self.conv1(x) 2025-08-14T21:51:28.7093329Z 2025-08-14T21:51:28.7093434Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7093628Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7093692Z return mod(*inputs) 2025-08-14T21:51:28.7093880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7093948Z y = self.forward_features(x) 2025-08-14T21:51:28.7094155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7094226Z yl = self.stages(x) 2025-08-14T21:51:28.7094404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7094476Z yl = self.stage4(xl) 2025-08-14T21:51:28.7094657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7094715Z x = module(x) 2025-08-14T21:51:28.7094906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7094988Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7095174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.7095243Z x = self.act1(x) 2025-08-14T21:51:28.7095246Z 2025-08-14T21:51:28.7095346Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7095544Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7095607Z return mod(*inputs) 2025-08-14T21:51:28.7095786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7095864Z y = self.forward_features(x) 2025-08-14T21:51:28.7096072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7096135Z yl = self.stages(x) 2025-08-14T21:51:28.7096325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7096410Z yl = self.stage4(xl) 2025-08-14T21:51:28.7096616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7096676Z x = module(x) 2025-08-14T21:51:28.7096860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7096931Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7097118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.7097179Z x = self.conv2(x) 2025-08-14T21:51:28.7097182Z 2025-08-14T21:51:28.7097290Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7097480Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7097549Z return mod(*inputs) 2025-08-14T21:51:28.7097746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7097820Z y = self.forward_features(x) 2025-08-14T21:51:28.7098037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7098110Z yl = self.stages(x) 2025-08-14T21:51:28.7098285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7098355Z yl = self.stage4(xl) 2025-08-14T21:51:28.7098534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7098598Z x = module(x) 2025-08-14T21:51:28.7098777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7098838Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7099029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.7099089Z x = self.act2(x) 2025-08-14T21:51:28.7099092Z 2025-08-14T21:51:28.7099189Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7099385Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7099448Z return mod(*inputs) 2025-08-14T21:51:28.7099631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7099698Z y = self.forward_features(x) 2025-08-14T21:51:28.7099901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7099970Z yl = self.stages(x) 2025-08-14T21:51:28.7100146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7100208Z yl = self.stage4(xl) 2025-08-14T21:51:28.7100397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7100455Z x = module(x) 2025-08-14T21:51:28.7100654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7100719Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7100900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.7100970Z x = self.conv1(x) 2025-08-14T21:51:28.7100974Z 2025-08-14T21:51:28.7101069Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7101254Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7101322Z return mod(*inputs) 2025-08-14T21:51:28.7101500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7101574Z y = self.forward_features(x) 2025-08-14T21:51:28.7101781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7101890Z yl = self.stages(x) 2025-08-14T21:51:28.7102090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7102153Z yl = self.stage4(xl) 2025-08-14T21:51:28.7102330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7102397Z x = module(x) 2025-08-14T21:51:28.7102574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7102643Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7102825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.7102884Z x = self.act1(x) 2025-08-14T21:51:28.7102887Z 2025-08-14T21:51:28.7102992Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7103207Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7103275Z return mod(*inputs) 2025-08-14T21:51:28.7103462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7103530Z y = self.forward_features(x) 2025-08-14T21:51:28.7103741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7103803Z yl = self.stages(x) 2025-08-14T21:51:28.7103981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7104053Z yl = self.stage4(xl) 2025-08-14T21:51:28.7104235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7104296Z x = module(x) 2025-08-14T21:51:28.7104481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7104541Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7104734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.7104797Z x = self.conv2(x) 2025-08-14T21:51:28.7104800Z 2025-08-14T21:51:28.7104898Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7105093Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7105154Z return mod(*inputs) 2025-08-14T21:51:28.7105331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7105406Z y = self.forward_features(x) 2025-08-14T21:51:28.7105611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7105680Z yl = self.stages(x) 2025-08-14T21:51:28.7105858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7105920Z yl = self.stage4(xl) 2025-08-14T21:51:28.7106128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7106191Z x = module(x) 2025-08-14T21:51:28.7106372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7106441Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7106641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.7106709Z x = self.act2(x) 2025-08-14T21:51:28.7106712Z 2025-08-14T21:51:28.7106809Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7106995Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7107064Z return mod(*inputs) 2025-08-14T21:51:28.7107240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7107308Z y = self.forward_features(x) 2025-08-14T21:51:28.7107540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7107619Z yl = self.stages(x) 2025-08-14T21:51:28.7107807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7107872Z yl = self.stage4(xl) 2025-08-14T21:51:28.7108057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7108126Z x = module(x) 2025-08-14T21:51:28.7108309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7108371Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7108567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.7108629Z x = self.conv1(x) 2025-08-14T21:51:28.7108633Z 2025-08-14T21:51:28.7108756Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7108953Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7109017Z return mod(*inputs) 2025-08-14T21:51:28.7109203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7109271Z y = self.forward_features(x) 2025-08-14T21:51:28.7109478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7109549Z yl = self.stages(x) 2025-08-14T21:51:28.7109729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7109797Z yl = self.stage4(xl) 2025-08-14T21:51:28.7109977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7110036Z x = module(x) 2025-08-14T21:51:28.7110226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7110290Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7110478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.7110545Z x = self.act1(x) 2025-08-14T21:51:28.7110548Z 2025-08-14T21:51:28.7110648Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7110845Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7110908Z return mod(*inputs) 2025-08-14T21:51:28.7111087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7111163Z y = self.forward_features(x) 2025-08-14T21:51:28.7111370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7111440Z yl = self.stages(x) 2025-08-14T21:51:28.7111636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7111704Z yl = self.stage4(xl) 2025-08-14T21:51:28.7111894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7111954Z x = module(x) 2025-08-14T21:51:28.7112142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7112211Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7112402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.7112464Z x = self.conv2(x) 2025-08-14T21:51:28.7112474Z 2025-08-14T21:51:28.7112574Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7112766Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7112838Z return mod(*inputs) 2025-08-14T21:51:28.7113041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7113129Z y = self.forward_features(x) 2025-08-14T21:51:28.7113349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7113412Z yl = self.stages(x) 2025-08-14T21:51:28.7113604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7113669Z yl = self.stage4(xl) 2025-08-14T21:51:28.7113855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7113921Z x = module(x) 2025-08-14T21:51:28.7114107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7114170Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7114384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.7114450Z x = self.act2(x) 2025-08-14T21:51:28.7114455Z 2025-08-14T21:51:28.7114566Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7114760Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7114824Z return mod(*inputs) 2025-08-14T21:51:28.7115021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7115091Z y = self.forward_features(x) 2025-08-14T21:51:28.7115305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7115379Z yl = self.stages(x) 2025-08-14T21:51:28.7115562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7115633Z yl = self.stage4(xl) 2025-08-14T21:51:28.7115820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7115882Z x = module(x) 2025-08-14T21:51:28.7116073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7116138Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7116330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.7116403Z x = self.conv1(x) 2025-08-14T21:51:28.7116406Z 2025-08-14T21:51:28.7116506Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7116707Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7116772Z return mod(*inputs) 2025-08-14T21:51:28.7116965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7117042Z y = self.forward_features(x) 2025-08-14T21:51:28.7117256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7117339Z yl = self.stages(x) 2025-08-14T21:51:28.7117530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7117594Z yl = self.stage4(xl) 2025-08-14T21:51:28.7117783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7117842Z x = module(x) 2025-08-14T21:51:28.7118024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7118092Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7118278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.7118340Z x = self.act1(x) 2025-08-14T21:51:28.7118343Z 2025-08-14T21:51:28.7118449Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7118640Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7118730Z return mod(*inputs) 2025-08-14T21:51:28.7118942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7119011Z y = self.forward_features(x) 2025-08-14T21:51:28.7119230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7119294Z yl = self.stages(x) 2025-08-14T21:51:28.7119474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7119546Z yl = self.stage4(xl) 2025-08-14T21:51:28.7119731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7119797Z x = module(x) 2025-08-14T21:51:28.7119998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7120064Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7120259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.7120323Z x = self.conv2(x) 2025-08-14T21:51:28.7120330Z 2025-08-14T21:51:28.7120431Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7120631Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7120695Z return mod(*inputs) 2025-08-14T21:51:28.7120888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7120958Z y = self.forward_features(x) 2025-08-14T21:51:28.7121173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7121244Z yl = self.stages(x) 2025-08-14T21:51:28.7121431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7121499Z yl = self.stage4(xl) 2025-08-14T21:51:28.7121694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7121756Z x = module(x) 2025-08-14T21:51:28.7121949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7122012Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7122202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.7122271Z x = self.act2(x) 2025-08-14T21:51:28.7122274Z 2025-08-14T21:51:28.7122375Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7122571Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7122642Z return mod(*inputs) 2025-08-14T21:51:28.7122911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7123002Z y = self.forward_features(x) 2025-08-14T21:51:28.7123252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7123325Z yl = self.stages(x) 2025-08-14T21:51:28.7123530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7123600Z yl = self.stage4(xl) 2025-08-14T21:51:28.7123797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7123870Z x = module(x) 2025-08-14T21:51:28.7124070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.7124142Z y = y + f(x[j]) 2025-08-14T21:51:28.7124146Z 2025-08-14T21:51:28.7124256Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7124477Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7124567Z return mod(*inputs) 2025-08-14T21:51:28.7124755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7124851Z y = self.forward_features(x) 2025-08-14T21:51:28.7125071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7125134Z yl = self.stages(x) 2025-08-14T21:51:28.7125322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7125386Z yl = self.stage4(xl) 2025-08-14T21:51:28.7125569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7125635Z x = module(x) 2025-08-14T21:51:28.7125821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.7125894Z y = y + f(x[j]) 2025-08-14T21:51:28.7125899Z 2025-08-14T21:51:28.7126011Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7126204Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7126275Z return mod(*inputs) 2025-08-14T21:51:28.7126457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7126526Z y = self.forward_features(x) 2025-08-14T21:51:28.7126743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7126805Z yl = self.stages(x) 2025-08-14T21:51:28.7126983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7127056Z yl = self.stage4(xl) 2025-08-14T21:51:28.7127237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7127306Z x = module(x) 2025-08-14T21:51:28.7127489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.7127550Z y = y + f(x[j]) 2025-08-14T21:51:28.7127553Z 2025-08-14T21:51:28.7127661Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7127848Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7127912Z return mod(*inputs) 2025-08-14T21:51:28.7128103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7128172Z y = self.forward_features(x) 2025-08-14T21:51:28.7128389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7128454Z yl = self.stages(x) 2025-08-14T21:51:28.7128633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7128708Z yl = self.stage4(xl) 2025-08-14T21:51:28.7128908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7128969Z x = module(x) 2025-08-14T21:51:28.7129159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.7129216Z y = f(x[j]) 2025-08-14T21:51:28.7129219Z 2025-08-14T21:51:28.7129327Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7129519Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7129584Z return mod(*inputs) 2025-08-14T21:51:28.7129773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7129842Z y = self.forward_features(x) 2025-08-14T21:51:28.7130101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7130195Z yl = self.stages(x) 2025-08-14T21:51:28.7130376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7130465Z yl = self.stage4(xl) 2025-08-14T21:51:28.7130645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7130704Z x = module(x) 2025-08-14T21:51:28.7130892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.7130951Z y = f(x[j]) 2025-08-14T21:51:28.7130954Z 2025-08-14T21:51:28.7131054Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7131252Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7131315Z return mod(*inputs) 2025-08-14T21:51:28.7131521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7131596Z y = self.forward_features(x) 2025-08-14T21:51:28.7131807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7131879Z yl = self.stages(x) 2025-08-14T21:51:28.7132057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7132121Z yl = self.stage4(xl) 2025-08-14T21:51:28.7132316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7132376Z x = module(x) 2025-08-14T21:51:28.7132564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.7132622Z y = f(x[j]) 2025-08-14T21:51:28.7132625Z 2025-08-14T21:51:28.7132726Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7132928Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7132994Z return mod(*inputs) 2025-08-14T21:51:28.7133174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7133252Z y = self.forward_features(x) 2025-08-14T21:51:28.7133462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7133532Z yl = self.stages(x) 2025-08-14T21:51:28.7133712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7133777Z yl = self.stage4(xl) 2025-08-14T21:51:28.7133965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7134024Z x = module(x) 2025-08-14T21:51:28.7134206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.7134273Z y = y + f(x[j]) 2025-08-14T21:51:28.7134277Z 2025-08-14T21:51:28.7134379Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7134594Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7134660Z return mod(*inputs) 2025-08-14T21:51:28.7134844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7134920Z y = self.forward_features(x) 2025-08-14T21:51:28.7135128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7135190Z yl = self.stages(x) 2025-08-14T21:51:28.7135375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7135437Z yl = self.stage4(xl) 2025-08-14T21:51:28.7135627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7135687Z x = module(x) 2025-08-14T21:51:28.7135870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.7135976Z y = y + f(x[j]) 2025-08-14T21:51:28.7135979Z 2025-08-14T21:51:28.7136079Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7136272Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7136341Z return mod(*inputs) 2025-08-14T21:51:28.7136525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7136601Z y = self.forward_features(x) 2025-08-14T21:51:28.7136812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7136874Z yl = self.stages(x) 2025-08-14T21:51:28.7137063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7137143Z yl = self.stage4(xl) 2025-08-14T21:51:28.7137327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7137396Z x = module(x) 2025-08-14T21:51:28.7137578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.7137644Z y = y + f(x[j]) 2025-08-14T21:51:28.7137647Z 2025-08-14T21:51:28.7137746Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7137941Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7138012Z return mod(*inputs) 2025-08-14T21:51:28.7138195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7138265Z y = self.forward_features(x) 2025-08-14T21:51:28.7138479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7138544Z yl = self.stages(x) 2025-08-14T21:51:28.7138733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7138800Z yl = self.stage4(xl) 2025-08-14T21:51:28.7138981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7139047Z x = module(x) 2025-08-14T21:51:28.7139231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.7139290Z y = y + f(x[j]) 2025-08-14T21:51:28.7139301Z 2025-08-14T21:51:28.7139402Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7139592Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7139663Z return mod(*inputs) 2025-08-14T21:51:28.7139844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7139915Z y = self.forward_features(x) 2025-08-14T21:51:28.7140147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7140213Z yl = self.stages(x) 2025-08-14T21:51:28.7140392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7140466Z yl = self.stage4(xl) 2025-08-14T21:51:28.7140649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7140716Z x = module(x) 2025-08-14T21:51:28.7140899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:51:28.7140974Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:51:28.7140978Z 2025-08-14T21:51:28.7141087Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7141279Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7141362Z return mod(*inputs) 2025-08-14T21:51:28.7141553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7141641Z y = self.forward_features(x) 2025-08-14T21:51:28.7141858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7141920Z yl = self.stages(x) 2025-08-14T21:51:28.7142100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7142172Z yl = self.stage4(xl) 2025-08-14T21:51:28.7142355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7142416Z x = module(x) 2025-08-14T21:51:28.7142608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7142671Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7142941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.7143009Z x = self.conv1(x) 2025-08-14T21:51:28.7143012Z 2025-08-14T21:51:28.7143112Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7143317Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7143381Z return mod(*inputs) 2025-08-14T21:51:28.7143575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7143645Z y = self.forward_features(x) 2025-08-14T21:51:28.7143860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7143931Z yl = self.stages(x) 2025-08-14T21:51:28.7144116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7144181Z yl = self.stage4(xl) 2025-08-14T21:51:28.7144377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7144438Z x = module(x) 2025-08-14T21:51:28.7144862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7144943Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7145135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.7145208Z x = self.act1(x) 2025-08-14T21:51:28.7145212Z 2025-08-14T21:51:28.7145314Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7145508Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7145582Z return mod(*inputs) 2025-08-14T21:51:28.7145764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7145846Z y = self.forward_features(x) 2025-08-14T21:51:28.7146121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7146187Z yl = self.stages(x) 2025-08-14T21:51:28.7146373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7146437Z yl = self.stage4(xl) 2025-08-14T21:51:28.7146618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7146685Z x = module(x) 2025-08-14T21:51:28.7146865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7146927Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7147121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.7147182Z x = self.conv2(x) 2025-08-14T21:51:28.7147185Z 2025-08-14T21:51:28.7147292Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7147522Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7147617Z return mod(*inputs) 2025-08-14T21:51:28.7147810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7147880Z y = self.forward_features(x) 2025-08-14T21:51:28.7148098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7148162Z yl = self.stages(x) 2025-08-14T21:51:28.7148341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7148411Z yl = self.stage4(xl) 2025-08-14T21:51:28.7148591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7148650Z x = module(x) 2025-08-14T21:51:28.7148863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7148929Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7149118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.7149188Z x = self.act2(x) 2025-08-14T21:51:28.7149192Z 2025-08-14T21:51:28.7149297Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7149495Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7149560Z return mod(*inputs) 2025-08-14T21:51:28.7149741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7149819Z y = self.forward_features(x) 2025-08-14T21:51:28.7150026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7150097Z yl = self.stages(x) 2025-08-14T21:51:28.7150277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7150345Z yl = self.stage4(xl) 2025-08-14T21:51:28.7150534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7150594Z x = module(x) 2025-08-14T21:51:28.7150778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7151152Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7151457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.7151846Z x = self.conv1(x) 2025-08-14T21:51:28.7151967Z 2025-08-14T21:51:28.7152089Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7152451Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7152783Z return mod(*inputs) 2025-08-14T21:51:28.7153088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7153426Z y = self.forward_features(x) 2025-08-14T21:51:28.7153781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7154134Z yl = self.stages(x) 2025-08-14T21:51:28.7154425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7154736Z yl = self.stage4(xl) 2025-08-14T21:51:28.7155038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7155350Z x = module(x) 2025-08-14T21:51:28.7155633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7155950Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7156251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.7156601Z x = self.act1(x) 2025-08-14T21:51:28.7156704Z 2025-08-14T21:51:28.7156811Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7157202Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7157537Z return mod(*inputs) 2025-08-14T21:51:28.7157834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7158165Z y = self.forward_features(x) 2025-08-14T21:51:28.7158514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7158868Z yl = self.stages(x) 2025-08-14T21:51:28.7159160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7159479Z yl = self.stage4(xl) 2025-08-14T21:51:28.7159805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7160111Z x = module(x) 2025-08-14T21:51:28.7160404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7160718Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7161017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.7161335Z x = self.conv2(x) 2025-08-14T21:51:28.7161441Z 2025-08-14T21:51:28.7161544Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7161905Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7162224Z return mod(*inputs) 2025-08-14T21:51:28.7162523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7162934Z y = self.forward_features(x) 2025-08-14T21:51:28.7163317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7163686Z yl = self.stages(x) 2025-08-14T21:51:28.7164005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7164345Z yl = self.stage4(xl) 2025-08-14T21:51:28.7164660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7165001Z x = module(x) 2025-08-14T21:51:28.7165309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7165648Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7165958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.7166298Z x = self.act2(x) 2025-08-14T21:51:28.7166408Z 2025-08-14T21:51:28.7166525Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7166906Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7167282Z return mod(*inputs) 2025-08-14T21:51:28.7167610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7167957Z y = self.forward_features(x) 2025-08-14T21:51:28.7168318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7168673Z yl = self.stages(x) 2025-08-14T21:51:28.7168968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7169277Z yl = self.stage4(xl) 2025-08-14T21:51:28.7169581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7169896Z x = module(x) 2025-08-14T21:51:28.7170183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7170507Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7170834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.7171181Z x = self.conv1(x) 2025-08-14T21:51:28.7171282Z 2025-08-14T21:51:28.7171387Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7171759Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7172087Z return mod(*inputs) 2025-08-14T21:51:28.7172379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7172704Z y = self.forward_features(x) 2025-08-14T21:51:28.7173050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7173397Z yl = self.stages(x) 2025-08-14T21:51:28.7173689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7174030Z yl = self.stage4(xl) 2025-08-14T21:51:28.7174334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7174643Z x = module(x) 2025-08-14T21:51:28.7174939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7175257Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7175556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.7175870Z x = self.act1(x) 2025-08-14T21:51:28.7175976Z 2025-08-14T21:51:28.7176079Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7176443Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7176760Z return mod(*inputs) 2025-08-14T21:51:28.7177058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7177386Z y = self.forward_features(x) 2025-08-14T21:51:28.7177731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7178079Z yl = self.stages(x) 2025-08-14T21:51:28.7178377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7178699Z yl = self.stage4(xl) 2025-08-14T21:51:28.7178994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7179308Z x = module(x) 2025-08-14T21:51:28.7179597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7179915Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7180207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.7180530Z x = self.conv2(x) 2025-08-14T21:51:28.7180632Z 2025-08-14T21:51:28.7180746Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7181140Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7181480Z return mod(*inputs) 2025-08-14T21:51:28.7181780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7182102Z y = self.forward_features(x) 2025-08-14T21:51:28.7182439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7182788Z yl = self.stages(x) 2025-08-14T21:51:28.7183102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7183446Z yl = self.stage4(xl) 2025-08-14T21:51:28.7183773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7184105Z x = module(x) 2025-08-14T21:51:28.7184405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7184792Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7185113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.7185453Z x = self.act2(x) 2025-08-14T21:51:28.7185558Z 2025-08-14T21:51:28.7185670Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7186063Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7186415Z return mod(*inputs) 2025-08-14T21:51:28.7186724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7187074Z y = self.forward_features(x) 2025-08-14T21:51:28.7187440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7187845Z yl = self.stages(x) 2025-08-14T21:51:28.7188154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7188497Z yl = self.stage4(xl) 2025-08-14T21:51:28.7188822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7189150Z x = module(x) 2025-08-14T21:51:28.7189457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7189790Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7190104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.7190438Z x = self.conv1(x) 2025-08-14T21:51:28.7190551Z 2025-08-14T21:51:28.7190664Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7191051Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7191389Z return mod(*inputs) 2025-08-14T21:51:28.7191710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7192064Z y = self.forward_features(x) 2025-08-14T21:51:28.7192426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7192786Z yl = self.stages(x) 2025-08-14T21:51:28.7193089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7193426Z yl = self.stage4(xl) 2025-08-14T21:51:28.7193734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7194071Z x = module(x) 2025-08-14T21:51:28.7194375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7194707Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7195024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.7195354Z x = self.act1(x) 2025-08-14T21:51:28.7195508Z 2025-08-14T21:51:28.7195628Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7195989Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7196328Z return mod(*inputs) 2025-08-14T21:51:28.7196630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7196962Z y = self.forward_features(x) 2025-08-14T21:51:28.7197306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7197669Z yl = self.stages(x) 2025-08-14T21:51:28.7197987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7198317Z yl = self.stage4(xl) 2025-08-14T21:51:28.7198646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7199016Z x = module(x) 2025-08-14T21:51:28.7199358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7199694Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7200025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.7200392Z x = self.conv2(x) 2025-08-14T21:51:28.7200501Z 2025-08-14T21:51:28.7200614Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7201003Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7201357Z return mod(*inputs) 2025-08-14T21:51:28.7201680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7202036Z y = self.forward_features(x) 2025-08-14T21:51:28.7202432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7202909Z yl = self.stages(x) 2025-08-14T21:51:28.7203258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7203610Z yl = self.stage4(xl) 2025-08-14T21:51:28.7203942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7204305Z x = module(x) 2025-08-14T21:51:28.7204594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7204912Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7205214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.7205520Z x = self.act2(x) 2025-08-14T21:51:28.7205627Z 2025-08-14T21:51:28.7205732Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7206098Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7206417Z return mod(*inputs) 2025-08-14T21:51:28.7206712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7207035Z y = self.forward_features(x) 2025-08-14T21:51:28.7207377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7207713Z yl = self.stages(x) 2025-08-14T21:51:28.7208003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7208315Z yl = self.stage4(xl) 2025-08-14T21:51:28.7208610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7208922Z x = module(x) 2025-08-14T21:51:28.7209208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.7209518Z y = y + f(x[j]) 2025-08-14T21:51:28.7209617Z 2025-08-14T21:51:28.7209765Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7210140Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7210472Z return mod(*inputs) 2025-08-14T21:51:28.7210769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7211099Z y = self.forward_features(x) 2025-08-14T21:51:28.7211452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7211807Z yl = self.stages(x) 2025-08-14T21:51:28.7212097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7212422Z yl = self.stage4(xl) 2025-08-14T21:51:28.7212737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7213071Z x = module(x) 2025-08-14T21:51:28.7213364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7213737Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7214057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.7214400Z x = self.conv1(x) 2025-08-14T21:51:28.7214516Z 2025-08-14T21:51:28.7214631Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7215001Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7215334Z return mod(*inputs) 2025-08-14T21:51:28.7215656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7216002Z y = self.forward_features(x) 2025-08-14T21:51:28.7216392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7216753Z yl = self.stages(x) 2025-08-14T21:51:28.7217082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7217429Z yl = self.stage4(xl) 2025-08-14T21:51:28.7217745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7218098Z x = module(x) 2025-08-14T21:51:28.7218420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7218773Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7219094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.7219444Z x = self.act1(x) 2025-08-14T21:51:28.7219552Z 2025-08-14T21:51:28.7219673Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7220071Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7220445Z return mod(*inputs) 2025-08-14T21:51:28.7220769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7221134Z y = self.forward_features(x) 2025-08-14T21:51:28.7221500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7221880Z yl = self.stages(x) 2025-08-14T21:51:28.7222199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7222537Z yl = self.stage4(xl) 2025-08-14T21:51:28.7222867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7223203Z x = module(x) 2025-08-14T21:51:28.7223513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7223858Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7224227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.7224591Z x = self.conv2(x) 2025-08-14T21:51:28.7224706Z 2025-08-14T21:51:28.7224809Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7225186Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7225524Z return mod(*inputs) 2025-08-14T21:51:28.7225813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7226151Z y = self.forward_features(x) 2025-08-14T21:51:28.7226495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7226843Z yl = self.stages(x) 2025-08-14T21:51:28.7227129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7227450Z yl = self.stage4(xl) 2025-08-14T21:51:28.7227788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7228115Z x = module(x) 2025-08-14T21:51:28.7228401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7228716Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7229014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.7229328Z x = self.act2(x) 2025-08-14T21:51:28.7229433Z 2025-08-14T21:51:28.7229539Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7229912Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7230229Z return mod(*inputs) 2025-08-14T21:51:28.7230526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7230878Z y = self.forward_features(x) 2025-08-14T21:51:28.7231231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7231569Z yl = self.stages(x) 2025-08-14T21:51:28.7231865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7232179Z yl = self.stage4(xl) 2025-08-14T21:51:28.7232470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7232783Z x = module(x) 2025-08-14T21:51:28.7233067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7233382Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7233673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.7233997Z x = self.conv1(x) 2025-08-14T21:51:28.7234099Z 2025-08-14T21:51:28.7234215Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7234571Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7234897Z return mod(*inputs) 2025-08-14T21:51:28.7235194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7235519Z y = self.forward_features(x) 2025-08-14T21:51:28.7235851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7236191Z yl = self.stages(x) 2025-08-14T21:51:28.7236481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7236788Z yl = self.stage4(xl) 2025-08-14T21:51:28.7237088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7237399Z x = module(x) 2025-08-14T21:51:28.7237678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7238024Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7238328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.7238650Z x = self.act1(x) 2025-08-14T21:51:28.7238746Z 2025-08-14T21:51:28.7238849Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7239210Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7239537Z return mod(*inputs) 2025-08-14T21:51:28.7239823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7240150Z y = self.forward_features(x) 2025-08-14T21:51:28.7240491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7240832Z yl = self.stages(x) 2025-08-14T21:51:28.7241117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7241479Z yl = self.stage4(xl) 2025-08-14T21:51:28.7241782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7242089Z x = module(x) 2025-08-14T21:51:28.7242402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7242736Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7243140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.7243498Z x = self.conv2(x) 2025-08-14T21:51:28.7243615Z 2025-08-14T21:51:28.7243730Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7244127Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7244477Z return mod(*inputs) 2025-08-14T21:51:28.7245014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7245394Z y = self.forward_features(x) 2025-08-14T21:51:28.7245773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7246141Z yl = self.stages(x) 2025-08-14T21:51:28.7246466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7246818Z yl = self.stage4(xl) 2025-08-14T21:51:28.7247138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7247484Z x = module(x) 2025-08-14T21:51:28.7247800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7248146Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7248467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.7248817Z x = self.act2(x) 2025-08-14T21:51:28.7248925Z 2025-08-14T21:51:28.7249051Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7249440Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7249815Z return mod(*inputs) 2025-08-14T21:51:28.7250132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7250457Z y = self.forward_features(x) 2025-08-14T21:51:28.7250794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7251142Z yl = self.stages(x) 2025-08-14T21:51:28.7251434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7251748Z yl = self.stage4(xl) 2025-08-14T21:51:28.7252049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7252433Z x = module(x) 2025-08-14T21:51:28.7252717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7253028Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7253325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.7253639Z x = self.conv1(x) 2025-08-14T21:51:28.7253739Z 2025-08-14T21:51:28.7253843Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7254206Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7254535Z return mod(*inputs) 2025-08-14T21:51:28.7254826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7255156Z y = self.forward_features(x) 2025-08-14T21:51:28.7255502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7255886Z yl = self.stages(x) 2025-08-14T21:51:28.7256201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7256517Z yl = self.stage4(xl) 2025-08-14T21:51:28.7256818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7257127Z x = module(x) 2025-08-14T21:51:28.7257417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7257732Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7258032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.7258345Z x = self.act1(x) 2025-08-14T21:51:28.7258449Z 2025-08-14T21:51:28.7258553Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7258941Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7259266Z return mod(*inputs) 2025-08-14T21:51:28.7259570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7259892Z y = self.forward_features(x) 2025-08-14T21:51:28.7260233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7260568Z yl = self.stages(x) 2025-08-14T21:51:28.7260856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7261170Z yl = self.stage4(xl) 2025-08-14T21:51:28.7261464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7261778Z x = module(x) 2025-08-14T21:51:28.7262071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7262386Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7262678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.7263001Z x = self.conv2(x) 2025-08-14T21:51:28.7263099Z 2025-08-14T21:51:28.7263213Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7263574Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7263903Z return mod(*inputs) 2025-08-14T21:51:28.7264200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7264524Z y = self.forward_features(x) 2025-08-14T21:51:28.7264862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7265206Z yl = self.stages(x) 2025-08-14T21:51:28.7265502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7265812Z yl = self.stage4(xl) 2025-08-14T21:51:28.7266140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7266457Z x = module(x) 2025-08-14T21:51:28.7266742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7267047Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7267343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:51:28.7267661Z x = self.act2(x) 2025-08-14T21:51:28.7267757Z 2025-08-14T21:51:28.7267860Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7268220Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7268543Z return mod(*inputs) 2025-08-14T21:51:28.7268838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7269188Z y = self.forward_features(x) 2025-08-14T21:51:28.7269530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7269897Z yl = self.stages(x) 2025-08-14T21:51:28.7270186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7270508Z yl = self.stage4(xl) 2025-08-14T21:51:28.7270814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7271125Z x = module(x) 2025-08-14T21:51:28.7271421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7271740Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7272043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:51:28.7272370Z x = self.conv1(x) 2025-08-14T21:51:28.7272496Z 2025-08-14T21:51:28.7272600Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7272961Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7273281Z return mod(*inputs) 2025-08-14T21:51:28.7273577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7273899Z y = self.forward_features(x) 2025-08-14T21:51:28.7274241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7274575Z yl = self.stages(x) 2025-08-14T21:51:28.7274865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7275176Z yl = self.stage4(xl) 2025-08-14T21:51:28.7275464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7275775Z x = module(x) 2025-08-14T21:51:28.7276063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7276377Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7276666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:51:28.7277041Z x = self.act1(x) 2025-08-14T21:51:28.7277142Z 2025-08-14T21:51:28.7277258Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7277636Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7277976Z return mod(*inputs) 2025-08-14T21:51:28.7278286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7278630Z y = self.forward_features(x) 2025-08-14T21:51:28.7278981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7279340Z yl = self.stages(x) 2025-08-14T21:51:28.7279680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7280008Z yl = self.stage4(xl) 2025-08-14T21:51:28.7280322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7280650Z x = module(x) 2025-08-14T21:51:28.7280951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:51:28.7281274Z x[i] = branch(x[i]) 2025-08-14T21:51:28.7281589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:51:28.7281924Z x = self.conv2(x) 2025-08-14T21:51:28.7282027Z 2025-08-14T21:51:28.7282137Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7282515Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7282940Z return mod(*inputs) 2025-08-14T21:51:28.7283289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7283651Z y = self.forward_features(x) 2025-08-14T21:51:28.7284014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:51:28.7284394Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:51:28.7284741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 209, in forward 2025-08-14T21:51:28.7285081Z x = self.conv1(x) 2025-08-14T21:51:28.7285189Z 2025-08-14T21:51:28.7285306Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7285701Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7286049Z return mod(*inputs) 2025-08-14T21:51:28.7286383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7286734Z y = self.forward_features(x) 2025-08-14T21:51:28.7287089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:51:28.7287456Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:51:28.7287809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 211, in forward 2025-08-14T21:51:28.7288146Z x = self.act1(x) 2025-08-14T21:51:28.7288251Z 2025-08-14T21:51:28.7288362Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7288745Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7289092Z return mod(*inputs) 2025-08-14T21:51:28.7289407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7289733Z y = self.forward_features(x) 2025-08-14T21:51:28.7290076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:51:28.7290441Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:51:28.7290764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 213, in forward 2025-08-14T21:51:28.7291084Z x = self.conv2(x) 2025-08-14T21:51:28.7291181Z 2025-08-14T21:51:28.7291291Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7291645Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7291972Z return mod(*inputs) 2025-08-14T21:51:28.7292272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7292612Z y = self.forward_features(x) 2025-08-14T21:51:28.7292967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:51:28.7293334Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:51:28.7293684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 216, in forward 2025-08-14T21:51:28.7293999Z x = self.act2(x) 2025-08-14T21:51:28.7294106Z 2025-08-14T21:51:28.7294209Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7294574Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7294896Z return mod(*inputs) 2025-08-14T21:51:28.7295187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7295511Z y = self.forward_features(x) 2025-08-14T21:51:28.7295853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:51:28.7296196Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:51:28.7296522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 219, in forward 2025-08-14T21:51:28.7296839Z x = self.conv3(x) 2025-08-14T21:51:28.7296955Z 2025-08-14T21:51:28.7297066Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7297467Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7297790Z return mod(*inputs) 2025-08-14T21:51:28.7298083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7298395Z y = self.forward_features(x) 2025-08-14T21:51:28.7298738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:51:28.7299086Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:51:28.7299412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 229, in forward 2025-08-14T21:51:28.7299753Z shortcut = self.downsample(shortcut) 2025-08-14T21:51:28.7299902Z 2025-08-14T21:51:28.7300022Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7300387Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7300707Z return mod(*inputs) 2025-08-14T21:51:28.7301005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7301324Z y = self.forward_features(x) 2025-08-14T21:51:28.7301667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7302003Z yl = self.stages(x) 2025-08-14T21:51:28.7302299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7302619Z yl = self.stage4(xl) 2025-08-14T21:51:28.7302912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7303233Z x = module(x) 2025-08-14T21:51:28.7303519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.7303827Z y = f(x[j]) 2025-08-14T21:51:28.7303922Z 2025-08-14T21:51:28.7304028Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7304391Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7304718Z return mod(*inputs) 2025-08-14T21:51:28.7305015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7305332Z y = self.forward_features(x) 2025-08-14T21:51:28.7305664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7305998Z yl = self.stages(x) 2025-08-14T21:51:28.7306276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7306582Z yl = self.stage4(xl) 2025-08-14T21:51:28.7306875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7307191Z x = module(x) 2025-08-14T21:51:28.7307479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.7307787Z y = f(x[j]) 2025-08-14T21:51:28.7307875Z 2025-08-14T21:51:28.7307984Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7308337Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7308655Z return mod(*inputs) 2025-08-14T21:51:28.7308943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7309251Z y = self.forward_features(x) 2025-08-14T21:51:28.7309583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7309919Z yl = self.stages(x) 2025-08-14T21:51:28.7310204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7310531Z yl = self.stage4(xl) 2025-08-14T21:51:28.7310848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7311159Z x = module(x) 2025-08-14T21:51:28.7311436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.7311746Z y = f(x[j]) 2025-08-14T21:51:28.7311836Z 2025-08-14T21:51:28.7311947Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7312299Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7312373Z return mod(*inputs) 2025-08-14T21:51:28.7312621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7312705Z y = self.forward_features(x) 2025-08-14T21:51:28.7312951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7313024Z yl = self.stages(x) 2025-08-14T21:51:28.7313243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7313308Z yl = self.stage4(xl) 2025-08-14T21:51:28.7313496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7313563Z x = module(x) 2025-08-14T21:51:28.7313799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.7313871Z y = y + f(x[j]) 2025-08-14T21:51:28.7313874Z 2025-08-14T21:51:28.7313985Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7314205Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7314283Z return mod(*inputs) 2025-08-14T21:51:28.7314498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7314578Z y = self.forward_features(x) 2025-08-14T21:51:28.7314819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7314889Z yl = self.stages(x) 2025-08-14T21:51:28.7315099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7315165Z yl = self.stage4(xl) 2025-08-14T21:51:28.7315351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7315420Z x = module(x) 2025-08-14T21:51:28.7315610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.7315672Z y = y + f(x[j]) 2025-08-14T21:51:28.7315683Z 2025-08-14T21:51:28.7315786Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7316005Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7316083Z return mod(*inputs) 2025-08-14T21:51:28.7316275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7316352Z y = self.forward_features(x) 2025-08-14T21:51:28.7316591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7316659Z yl = self.stages(x) 2025-08-14T21:51:28.7316855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7316933Z yl = self.stage4(xl) 2025-08-14T21:51:28.7317142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7317213Z x = module(x) 2025-08-14T21:51:28.7317423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.7317506Z y = y + f(x[j]) 2025-08-14T21:51:28.7317511Z 2025-08-14T21:51:28.7317647Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7317871Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7317947Z return mod(*inputs) 2025-08-14T21:51:28.7318166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7318242Z y = self.forward_features(x) 2025-08-14T21:51:28.7318480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7318548Z yl = self.stages(x) 2025-08-14T21:51:28.7318744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7318821Z yl = self.stage4(xl) 2025-08-14T21:51:28.7319050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7319120Z x = module(x) 2025-08-14T21:51:28.7319340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.7319405Z y = y + f(x[j]) 2025-08-14T21:51:28.7319408Z 2025-08-14T21:51:28.7319523Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7319734Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7319801Z return mod(*inputs) 2025-08-14T21:51:28.7320012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7320088Z y = self.forward_features(x) 2025-08-14T21:51:28.7320324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7320394Z yl = self.stages(x) 2025-08-14T21:51:28.7320590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7320670Z yl = self.stage4(xl) 2025-08-14T21:51:28.7320870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7320933Z x = module(x) 2025-08-14T21:51:28.7321142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:51:28.7321227Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:51:28.7321231Z 2025-08-14T21:51:28.7321346Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7321554Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7321623Z return mod(*inputs) 2025-08-14T21:51:28.7321833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7321907Z y = self.forward_features(x) 2025-08-14T21:51:28.7322136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:51:28.7322244Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:51:28.7322456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 209, in forward 2025-08-14T21:51:28.7322531Z x = self.conv1(x) 2025-08-14T21:51:28.7322534Z 2025-08-14T21:51:28.7322642Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7322939Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7323025Z return mod(*inputs) 2025-08-14T21:51:28.7323230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7323308Z y = self.forward_features(x) 2025-08-14T21:51:28.7323549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:51:28.7323636Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:51:28.7323885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 211, in forward 2025-08-14T21:51:28.7323980Z x = self.act1(x) 2025-08-14T21:51:28.7323984Z 2025-08-14T21:51:28.7324102Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7324327Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7324396Z return mod(*inputs) 2025-08-14T21:51:28.7324611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7324696Z y = self.forward_features(x) 2025-08-14T21:51:28.7324929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:51:28.7325013Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:51:28.7325245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 213, in forward 2025-08-14T21:51:28.7325319Z x = self.conv2(x) 2025-08-14T21:51:28.7325323Z 2025-08-14T21:51:28.7325441Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7325646Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7325714Z return mod(*inputs) 2025-08-14T21:51:28.7325928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7326001Z y = self.forward_features(x) 2025-08-14T21:51:28.7326237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:51:28.7326314Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:51:28.7326517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 216, in forward 2025-08-14T21:51:28.7326592Z x = self.act2(x) 2025-08-14T21:51:28.7326595Z 2025-08-14T21:51:28.7326703Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7326915Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7326985Z return mod(*inputs) 2025-08-14T21:51:28.7327196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7327279Z y = self.forward_features(x) 2025-08-14T21:51:28.7327506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:51:28.7327585Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:51:28.7327795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 219, in forward 2025-08-14T21:51:28.7327862Z x = self.conv3(x) 2025-08-14T21:51:28.7327866Z 2025-08-14T21:51:28.7327981Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7328200Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7328270Z return mod(*inputs) 2025-08-14T21:51:28.7328506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7328584Z y = self.forward_features(x) 2025-08-14T21:51:28.7328811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:51:28.7328900Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:51:28.7329103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 229, in forward 2025-08-14T21:51:28.7329201Z shortcut = self.downsample(shortcut) 2025-08-14T21:51:28.7329205Z 2025-08-14T21:51:28.7329311Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7329518Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7329595Z return mod(*inputs) 2025-08-14T21:51:28.7329795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7329903Z y = self.forward_features(x) 2025-08-14T21:51:28.7330153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7330221Z yl = self.stages(x) 2025-08-14T21:51:28.7330424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7330496Z yl = self.stage4(xl) 2025-08-14T21:51:28.7330691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7330766Z x = module(x) 2025-08-14T21:51:28.7330962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:51:28.7331024Z y = f(x[j]) 2025-08-14T21:51:28.7331027Z 2025-08-14T21:51:28.7331143Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7331363Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7331444Z return mod(*inputs) 2025-08-14T21:51:28.7331645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7331719Z y = self.forward_features(x) 2025-08-14T21:51:28.7331953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7332022Z yl = self.stages(x) 2025-08-14T21:51:28.7332216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7332294Z yl = self.stage4(xl) 2025-08-14T21:51:28.7332489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7332560Z x = module(x) 2025-08-14T21:51:28.7332758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.7332824Z y = y + f(x[j]) 2025-08-14T21:51:28.7332828Z 2025-08-14T21:51:28.7332944Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7333152Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7333221Z return mod(*inputs) 2025-08-14T21:51:28.7333424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7333500Z y = self.forward_features(x) 2025-08-14T21:51:28.7333735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7333803Z yl = self.stages(x) 2025-08-14T21:51:28.7333995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7334073Z yl = self.stage4(xl) 2025-08-14T21:51:28.7334276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7334341Z x = module(x) 2025-08-14T21:51:28.7334565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.7334631Z y = y + f(x[j]) 2025-08-14T21:51:28.7334634Z 2025-08-14T21:51:28.7334749Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7334960Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7335028Z return mod(*inputs) 2025-08-14T21:51:28.7335236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7335310Z y = self.forward_features(x) 2025-08-14T21:51:28.7335542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7335620Z yl = self.stages(x) 2025-08-14T21:51:28.7335819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7335915Z yl = self.stage4(xl) 2025-08-14T21:51:28.7336115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7336197Z x = module(x) 2025-08-14T21:51:28.7336410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.7336475Z y = y + f(x[j]) 2025-08-14T21:51:28.7336478Z 2025-08-14T21:51:28.7336586Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7336803Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7336872Z return mod(*inputs) 2025-08-14T21:51:28.7337079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7337154Z y = self.forward_features(x) 2025-08-14T21:51:28.7337405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7337486Z yl = self.stages(x) 2025-08-14T21:51:28.7337682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7337752Z yl = self.stage4(xl) 2025-08-14T21:51:28.7337960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7338023Z x = module(x) 2025-08-14T21:51:28.7338225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.7338289Z y = y + f(x[j]) 2025-08-14T21:51:28.7338292Z 2025-08-14T21:51:28.7338398Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7338620Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7338689Z return mod(*inputs) 2025-08-14T21:51:28.7338899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7338983Z y = self.forward_features(x) 2025-08-14T21:51:28.7339211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7339287Z yl = self.stages(x) 2025-08-14T21:51:28.7339480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7339548Z yl = self.stage4(xl) 2025-08-14T21:51:28.7339754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7339816Z x = module(x) 2025-08-14T21:51:28.7340014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:51:28.7340104Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:51:28.7340108Z 2025-08-14T21:51:28.7340217Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7340435Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7340527Z return mod(*inputs) 2025-08-14T21:51:28.7340725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7340808Z y = self.forward_features(x) 2025-08-14T21:51:28.7341033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:51:28.7341118Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:51:28.7341322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 209, in forward 2025-08-14T21:51:28.7341389Z x = self.conv1(x) 2025-08-14T21:51:28.7341392Z 2025-08-14T21:51:28.7341504Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7341711Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7341780Z return mod(*inputs) 2025-08-14T21:51:28.7341988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7342096Z y = self.forward_features(x) 2025-08-14T21:51:28.7342336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:51:28.7342414Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:51:28.7342620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 211, in forward 2025-08-14T21:51:28.7342695Z x = self.act1(x) 2025-08-14T21:51:28.7342699Z 2025-08-14T21:51:28.7342807Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7343016Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7343096Z return mod(*inputs) 2025-08-14T21:51:28.7343293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7343397Z y = self.forward_features(x) 2025-08-14T21:51:28.7343628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:51:28.7343707Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:51:28.7343916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 213, in forward 2025-08-14T21:51:28.7343984Z x = self.conv2(x) 2025-08-14T21:51:28.7343988Z 2025-08-14T21:51:28.7344094Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7344306Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7344375Z return mod(*inputs) 2025-08-14T21:51:28.7344580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7344806Z y = self.forward_features(x) 2025-08-14T21:51:28.7345043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:51:28.7345134Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:51:28.7345342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 216, in forward 2025-08-14T21:51:28.7345412Z x = self.act2(x) 2025-08-14T21:51:28.7345425Z 2025-08-14T21:51:28.7345537Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7345754Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7345836Z return mod(*inputs) 2025-08-14T21:51:28.7346040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7346116Z y = self.forward_features(x) 2025-08-14T21:51:28.7346356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:51:28.7346437Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:51:28.7346656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 219, in forward 2025-08-14T21:51:28.7346798Z x = self.conv3(x) 2025-08-14T21:51:28.7346803Z 2025-08-14T21:51:28.7346913Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7347126Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7347196Z return mod(*inputs) 2025-08-14T21:51:28.7347393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7347477Z y = self.forward_features(x) 2025-08-14T21:51:28.7347700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:51:28.7347786Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:51:28.7347987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 229, in forward 2025-08-14T21:51:28.7348078Z shortcut = self.downsample(shortcut) 2025-08-14T21:51:28.7348082Z 2025-08-14T21:51:28.7348253Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7348487Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7348556Z return mod(*inputs) 2025-08-14T21:51:28.7348762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7348836Z y = self.forward_features(x) 2025-08-14T21:51:28.7349074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7349144Z yl = self.stages(x) 2025-08-14T21:51:28.7349337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7349417Z yl = self.stage4(xl) 2025-08-14T21:51:28.7349613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7349703Z x = module(x) 2025-08-14T21:51:28.7349914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.7349983Z y = y + f(x[j]) 2025-08-14T21:51:28.7349986Z 2025-08-14T21:51:28.7350101Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7350309Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7350378Z return mod(*inputs) 2025-08-14T21:51:28.7350583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7350658Z y = self.forward_features(x) 2025-08-14T21:51:28.7350885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7350961Z yl = self.stages(x) 2025-08-14T21:51:28.7351154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7351231Z yl = self.stage4(xl) 2025-08-14T21:51:28.7351430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7351494Z x = module(x) 2025-08-14T21:51:28.7351697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.7351761Z y = y + f(x[j]) 2025-08-14T21:51:28.7351764Z 2025-08-14T21:51:28.7351871Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7352086Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7352154Z return mod(*inputs) 2025-08-14T21:51:28.7352357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7352430Z y = self.forward_features(x) 2025-08-14T21:51:28.7352659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7352739Z yl = self.stages(x) 2025-08-14T21:51:28.7352962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7353035Z yl = self.stage4(xl) 2025-08-14T21:51:28.7353242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7353307Z x = module(x) 2025-08-14T21:51:28.7353513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.7353578Z y = y + f(x[j]) 2025-08-14T21:51:28.7353581Z 2025-08-14T21:51:28.7353688Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7353905Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7353977Z return mod(*inputs) 2025-08-14T21:51:28.7354181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7354287Z y = self.forward_features(x) 2025-08-14T21:51:28.7354529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7354623Z yl = self.stages(x) 2025-08-14T21:51:28.7354818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7354888Z yl = self.stage4(xl) 2025-08-14T21:51:28.7355094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7355158Z x = module(x) 2025-08-14T21:51:28.7355357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.7355431Z y = y + f(x[j]) 2025-08-14T21:51:28.7355434Z 2025-08-14T21:51:28.7355542Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7355772Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7355846Z return mod(*inputs) 2025-08-14T21:51:28.7356048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7356133Z y = self.forward_features(x) 2025-08-14T21:51:28.7356368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7356436Z yl = self.stages(x) 2025-08-14T21:51:28.7356643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7356712Z yl = self.stage4(xl) 2025-08-14T21:51:28.7356924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7356989Z x = module(x) 2025-08-14T21:51:28.7357195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.7357270Z y = y + f(x[j]) 2025-08-14T21:51:28.7357275Z 2025-08-14T21:51:28.7357386Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7357606Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7357688Z return mod(*inputs) 2025-08-14T21:51:28.7357898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7357984Z y = self.forward_features(x) 2025-08-14T21:51:28.7358223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7358294Z yl = self.stages(x) 2025-08-14T21:51:28.7358506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7358576Z yl = self.stage4(xl) 2025-08-14T21:51:28.7358782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7358858Z x = module(x) 2025-08-14T21:51:28.7359085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:51:28.7359161Z y = y + f(x[j]) 2025-08-14T21:51:28.7359164Z 2025-08-14T21:51:28.7359274Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7359510Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7359589Z return mod(*inputs) 2025-08-14T21:51:28.7359791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7359867Z y = self.forward_features(x) 2025-08-14T21:51:28.7360120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:51:28.7360191Z yl = self.stages(x) 2025-08-14T21:51:28.7360398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:51:28.7360471Z yl = self.stage4(xl) 2025-08-14T21:51:28.7360696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:51:28.7360788Z x = module(x) 2025-08-14T21:51:28.7361013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:51:28.7361097Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:51:28.7361108Z 2025-08-14T21:51:28.7361218Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7361450Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7361529Z return mod(*inputs) 2025-08-14T21:51:28.7361755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7361831Z y = self.forward_features(x) 2025-08-14T21:51:28.7362088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 777, in forward_features 2025-08-14T21:51:28.7362160Z y = incre(yl[i]) 2025-08-14T21:51:28.7362371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 209, in forward 2025-08-14T21:51:28.7362450Z x = self.conv1(x) 2025-08-14T21:51:28.7362454Z 2025-08-14T21:51:28.7362564Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7362867Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7362946Z return mod(*inputs) 2025-08-14T21:51:28.7363173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7363260Z y = self.forward_features(x) 2025-08-14T21:51:28.7363507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 777, in forward_features 2025-08-14T21:51:28.7363584Z y = incre(yl[i]) 2025-08-14T21:51:28.7363797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 211, in forward 2025-08-14T21:51:28.7363867Z x = self.act1(x) 2025-08-14T21:51:28.7363872Z 2025-08-14T21:51:28.7363993Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7364232Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7364303Z return mod(*inputs) 2025-08-14T21:51:28.7364542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7364620Z y = self.forward_features(x) 2025-08-14T21:51:28.7364871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 777, in forward_features 2025-08-14T21:51:28.7364940Z y = incre(yl[i]) 2025-08-14T21:51:28.7365150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 213, in forward 2025-08-14T21:51:28.7365227Z x = self.conv2(x) 2025-08-14T21:51:28.7365231Z 2025-08-14T21:51:28.7365342Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7365585Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7365669Z return mod(*inputs) 2025-08-14T21:51:28.7365894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7365977Z y = self.forward_features(x) 2025-08-14T21:51:28.7366224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 777, in forward_features 2025-08-14T21:51:28.7366291Z y = incre(yl[i]) 2025-08-14T21:51:28.7366510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 216, in forward 2025-08-14T21:51:28.7366577Z x = self.act2(x) 2025-08-14T21:51:28.7366581Z 2025-08-14T21:51:28.7366690Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7366933Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7367005Z return mod(*inputs) 2025-08-14T21:51:28.7367237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7367335Z y = self.forward_features(x) 2025-08-14T21:51:28.7367581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 777, in forward_features 2025-08-14T21:51:28.7367659Z y = incre(yl[i]) 2025-08-14T21:51:28.7367873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 219, in forward 2025-08-14T21:51:28.7367942Z x = self.conv3(x) 2025-08-14T21:51:28.7367945Z 2025-08-14T21:51:28.7368064Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7368302Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7368380Z return mod(*inputs) 2025-08-14T21:51:28.7368606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7368687Z y = self.forward_features(x) 2025-08-14T21:51:28.7368929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 777, in forward_features 2025-08-14T21:51:28.7369000Z y = incre(yl[i]) 2025-08-14T21:51:28.7369208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 229, in forward 2025-08-14T21:51:28.7369306Z shortcut = self.downsample(shortcut) 2025-08-14T21:51:28.7369310Z 2025-08-14T21:51:28.7369419Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7369638Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7369709Z return mod(*inputs) 2025-08-14T21:51:28.7369911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7369997Z y = self.forward_features(x) 2025-08-14T21:51:28.7370230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:51:28.7370315Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:51:28.7370326Z 2025-08-14T21:51:28.7370438Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7370647Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7370725Z return mod(*inputs) 2025-08-14T21:51:28.7370931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7371008Z y = self.forward_features(x) 2025-08-14T21:51:28.7371253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:51:28.7371326Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:51:28.7371330Z 2025-08-14T21:51:28.7371438Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7371633Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7371699Z return mod(*inputs) 2025-08-14T21:51:28.7371913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7371988Z y = self.forward_features(x) 2025-08-14T21:51:28.7372202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:51:28.7372286Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:51:28.7372290Z 2025-08-14T21:51:28.7372389Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7372588Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7372655Z return mod(*inputs) 2025-08-14T21:51:28.7372839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:51:28.7372917Z y = self.forward_features(x) 2025-08-14T21:51:28.7373136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 782, in forward_features 2025-08-14T21:51:28.7373249Z y = self.final_layer(y) 2025-08-14T21:51:28.7373260Z 2025-08-14T21:51:28.7373340Z cudagraph partition due to non gpu ops 2025-08-14T21:51:28.7373441Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7373643Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7373709Z return mod(*inputs) 2025-08-14T21:51:28.7373895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 793, in forward 2025-08-14T21:51:28.7373975Z x = self.forward_head(y) 2025-08-14T21:51:28.7374183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 787, in forward_head 2025-08-14T21:51:28.7374254Z x = self.global_pool(x) 2025-08-14T21:51:28.7374530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward 2025-08-14T21:51:28.7374599Z x = self.pool(x) 2025-08-14T21:51:28.7374603Z 2025-08-14T21:51:28.7374714Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:51:28.7374908Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:51:28.7374974Z return mod(*inputs) 2025-08-14T21:51:28.7375173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 793, in forward 2025-08-14T21:51:28.7375245Z x = self.forward_head(y) 2025-08-14T21:51:28.7375458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 789, in forward_head 2025-08-14T21:51:28.7375561Z return x if pre_logits else self.classifier(x) 2025-08-14T21:51:28.7375565Z 2025-08-14T21:51:59.4731593Z Compilation time (from dynamo_timed): 98.438948314 2025-08-14T21:51:59.4731891Z pass 2025-08-14T21:51:59.4741426Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:51:59.4742362Z TIMING: _recursive_pre_grad_passes:0.02949 _recursive_joint_graph_passes:0.41661 _recursive_post_grad_passes:0.69978 async_compile.wait:6.13975 code_gen:24.99323 inductor_compile:41.48896 backend_compile:74.54548 gc:0.00051 entire_frame_compile:98.43895 total_wall_time:98.43895 2025-08-14T21:51:59.4743504Z STATS: call_* op count: 1146 | FakeTensorMode.__torch_dispatch__:64521 | attempt fast:155 | fast is_contiguous:155 | FakeTensor.__torch_dispatch__:41261 | ProxyTorchDispatchMode.__torch_dispatch__:30315 2025-08-14T21:51:59.4744142Z Dynamo produced 1 graphs covering 1146 ops with 0 graph breaks (0 unique) 2025-08-14T21:52:08.9739049Z 2025-08-14T21:52:09.2543449Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:52:09.2543698Z 2025-08-14T21:52:09.3732063Z model.safetensors: 0% 0.00/95.5M [00:00> $GITHUB_ENV 2025-08-14T21:57:28.6472461Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-08-14T21:57:28.6482089Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:57:28.6482347Z env: 2025-08-14T21:57:28.6482528Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:57:28.6482853Z DOCKER_CONTAINER_ID: 8c35a80088da0d71b1f8e06729c7a16ec062a2b78a1dec2dfeb74402476ef032 2025-08-14T21:57:28.6483477Z ##[endgroup] 2025-08-14T21:57:28.6516137Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-08-14T21:57:28.8528011Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:57:30.1549322Z Collecting boto3==1.35.33 2025-08-14T21:57:30.1694589Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-08-14T21:57:30.4118484Z Collecting psutil==7.0.0 2025-08-14T21:57:30.4149661Z 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) 2025-08-14T21:57:30.4419373Z Collecting pynvml==12.0.0 2025-08-14T21:57:30.4452766Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-08-14T21:57:30.4540452Z 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) 2025-08-14T21:57:30.4842287Z Collecting s3transfer<0.11.0,>=0.10.0 2025-08-14T21:57:30.4875431Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-08-14T21:57:31.3717506Z Collecting botocore<1.36.0,>=1.35.33 2025-08-14T21:57:31.3755075Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-08-14T21:57:31.5074939Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-08-14T21:57:31.5109126Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-08-14T21:57:31.5187293Z 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) 2025-08-14T21:57:31.5193433Z 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) 2025-08-14T21:57:31.6377102Z 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) 2025-08-14T21:57:31.7585868Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-08-14T21:57:32.1405958Z Attempting uninstall: nvidia-ml-py 2025-08-14T21:57:32.1409140Z Found existing installation: nvidia-ml-py 11.525.84 2025-08-14T21:57:32.1417021Z Uninstalling nvidia-ml-py-11.525.84: 2025-08-14T21:57:32.1560770Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-08-14T21:57:32.2172180Z Attempting uninstall: psutil 2025-08-14T21:57:32.2172611Z Found existing installation: psutil 5.9.8 2025-08-14T21:57:32.2224904Z Uninstalling psutil-5.9.8: 2025-08-14T21:57:32.2227228Z Successfully uninstalled psutil-5.9.8 2025-08-14T21:57:32.3741638Z 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 2025-08-14T21:57:32.5009890Z + DEVICE_NAME= 2025-08-14T21:57:32.5010241Z + DEVICE_TYPE= 2025-08-14T21:57:32.5010514Z + command -v nvidia-smi 2025-08-14T21:57:32.5010733Z + command -v rocminfo 2025-08-14T21:57:32.5010933Z + echo DEVICE_NAME= 2025-08-14T21:57:32.5011107Z + echo DEVICE_TYPE= 2025-08-14T21:57:32.5044530Z ##[group]Run set -eux 2025-08-14T21:57:32.5045019Z set -eux 2025-08-14T21:57:32.5045187Z  2025-08-14T21:57:32.5045376Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-08-14T21:57:32.5045630Z  echo "Missing github-token input" 2025-08-14T21:57:32.5045854Z  exit 1 2025-08-14T21:57:32.5046028Z fi 2025-08-14T21:57:32.5052457Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:57:32.5052727Z env: 2025-08-14T21:57:32.5052902Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:57:32.5053215Z DOCKER_CONTAINER_ID: 8c35a80088da0d71b1f8e06729c7a16ec062a2b78a1dec2dfeb74402476ef032 2025-08-14T21:57:32.5053549Z DEVICE_NAME: 2025-08-14T21:57:32.5053730Z DEVICE_TYPE: 2025-08-14T21:57:32.5054175Z GITHUB_TOKEN: *** 2025-08-14T21:57:32.5054348Z ##[endgroup] 2025-08-14T21:57:32.5081348Z + [[ -z *** ]] 2025-08-14T21:57:32.5131548Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-08-14T21:57:32.5131898Z with: 2025-08-14T21:57:32.5132350Z github-token: *** 2025-08-14T21:57:32.5132562Z env: 2025-08-14T21:57:32.5132752Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:57:32.5133150Z DOCKER_CONTAINER_ID: 8c35a80088da0d71b1f8e06729c7a16ec062a2b78a1dec2dfeb74402476ef032 2025-08-14T21:57:32.5133557Z DEVICE_NAME: 2025-08-14T21:57:32.5133766Z DEVICE_TYPE: 2025-08-14T21:57:32.5133973Z ##[endgroup] 2025-08-14T21:57:32.5157598Z ##[group]Run set -eux 2025-08-14T21:57:32.5157850Z set -eux 2025-08-14T21:57:32.5158039Z  2025-08-14T21:57:32.5158377Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-08-14T21:57:32.5164163Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:57:32.5164578Z env: 2025-08-14T21:57:32.5164758Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:57:32.5165099Z DOCKER_CONTAINER_ID: 8c35a80088da0d71b1f8e06729c7a16ec062a2b78a1dec2dfeb74402476ef032 2025-08-14T21:57:32.5165459Z DEVICE_NAME: 2025-08-14T21:57:32.5165642Z DEVICE_TYPE: 2025-08-14T21:57:32.5165952Z GITHUB_TOKEN: *** 2025-08-14T21:57:32.5166150Z ##[endgroup] 2025-08-14T21:57:32.5193129Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 16976255153 i-0bc2e2e8e8ade6829 2025-08-14T21:57:33.4364854Z setting job-id=48128039103 2025-08-14T21:57:33.4365425Z setting job-name=linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 1, 2, linux.8xlarge.amx) 2025-08-14T21:57:33.4485377Z ##[group]Run set -eux 2025-08-14T21:57:33.4485605Z set -eux 2025-08-14T21:57:33.4485779Z  2025-08-14T21:57:33.4486065Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-08-14T21:57:33.4486430Z  --schema-version "${SCHEMA_VERSION}" \ 2025-08-14T21:57:33.4486680Z  --repo "${REPO}" \ 2025-08-14T21:57:33.4486909Z  --head-branch "${HEAD_BRANCH}" \ 2025-08-14T21:57:33.4487151Z  --head-sha "${HEAD_SHA}" \ 2025-08-14T21:57:33.4487395Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-08-14T21:57:33.4487651Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-08-14T21:57:33.4487883Z  --job-id "${JOB_ID}" \ 2025-08-14T21:57:33.4488096Z  --job-name "${JOB_NAME}" 2025-08-14T21:57:33.4492953Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:57:33.4493226Z env: 2025-08-14T21:57:33.4493398Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:57:33.4493727Z DOCKER_CONTAINER_ID: 8c35a80088da0d71b1f8e06729c7a16ec062a2b78a1dec2dfeb74402476ef032 2025-08-14T21:57:33.4494065Z DEVICE_NAME: 2025-08-14T21:57:33.4494233Z DEVICE_TYPE: 2025-08-14T21:57:33.4494420Z SCHEMA_VERSION: v3 2025-08-14T21:57:33.4494611Z REPO: pytorch/pytorch 2025-08-14T21:57:33.4494804Z HEAD_BRANCH: refs/heads/main 2025-08-14T21:57:33.4495038Z HEAD_SHA: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:57:33.4495277Z WORKFLOW_RUN_ID: 16976255153 2025-08-14T21:57:33.4495483Z RUN_ATTEMPT: 1 2025-08-14T21:57:33.4495646Z JOB_ID: 48128039103 2025-08-14T21:57:33.4496000Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 1, 2, linux.8xlarge.amx) 2025-08-14T21:57:33.4496364Z ##[endgroup] 2025-08-14T21:57:33.4526398Z + 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 1fc683cf17c8c673044538d10266c00f92987be2 --workflow-id 16976255153 --run-attempt 1 --job-id 48128039103 --job-name 'linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 1, 2, linux.8xlarge.amx)' 2025-08-14T21:57:33.4830238Z ##[group]Run set -eux 2025-08-14T21:57:33.4830459Z set -eux 2025-08-14T21:57:33.4830635Z  2025-08-14T21:57:33.4830909Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-08-14T21:57:33.4835829Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:57:33.4836099Z env: 2025-08-14T21:57:33.4836270Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:57:33.4836599Z DOCKER_CONTAINER_ID: 8c35a80088da0d71b1f8e06729c7a16ec062a2b78a1dec2dfeb74402476ef032 2025-08-14T21:57:33.4836928Z DEVICE_NAME: 2025-08-14T21:57:33.4837114Z DEVICE_TYPE: 2025-08-14T21:57:33.4837280Z ##[endgroup] 2025-08-14T21:57:33.4862275Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-08-14T21:57:33.5214592Z INFO:root:Fail to import torch to get the device name 2025-08-14T21:57:33.5323471Z ##[group]Run set -eux 2025-08-14T21:57:33.5323702Z set -eux 2025-08-14T21:57:33.5323882Z  2025-08-14T21:57:33.5324081Z # TODO (huydhn): Implement this part 2025-08-14T21:57:33.5324365Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:57:33.5329321Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:57:33.5329578Z env: 2025-08-14T21:57:33.5329763Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:57:33.5330091Z DOCKER_CONTAINER_ID: 8c35a80088da0d71b1f8e06729c7a16ec062a2b78a1dec2dfeb74402476ef032 2025-08-14T21:57:33.5330440Z DEVICE_NAME: 2025-08-14T21:57:33.5330749Z DEVICE_TYPE: 2025-08-14T21:57:33.5330929Z ##[endgroup] 2025-08-14T21:57:33.5354501Z + echo 'dependencies={}' 2025-08-14T21:57:33.5383112Z ##[group]Run set -eux 2025-08-14T21:57:33.5383347Z set -eux 2025-08-14T21:57:33.5383525Z  2025-08-14T21:57:33.5383735Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-08-14T21:57:33.5384061Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-08-14T21:57:33.5384391Z  # We don't want the job to fail if the directory doesn't exist 2025-08-14T21:57:33.5384661Z  exit 0 2025-08-14T21:57:33.5384832Z fi 2025-08-14T21:57:33.5384991Z  2025-08-14T21:57:33.5385175Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-08-14T21:57:33.5385508Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-08-14T21:57:33.5385883Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-08-14T21:57:33.5386189Z  --metadata "${BENCHMARK_METADATA}" \ 2025-08-14T21:57:33.5386585Z  --runners "${RUNNER_INFO}" \ 2025-08-14T21:57:33.5386853Z  --dependencies "${DEPENDENCIES}" \ 2025-08-14T21:57:33.5387087Z  --dry-run 2025-08-14T21:57:33.5387279Z else 2025-08-14T21:57:33.5387553Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-08-14T21:57:33.5387918Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-08-14T21:57:33.5388211Z  --metadata "${BENCHMARK_METADATA}" \ 2025-08-14T21:57:33.5388458Z  --runners "${RUNNER_INFO}" \ 2025-08-14T21:57:33.5388708Z  --dependencies "${DEPENDENCIES}" 2025-08-14T21:57:33.5388926Z fi 2025-08-14T21:57:33.5393670Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:57:33.5393944Z env: 2025-08-14T21:57:33.5394119Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:57:33.5394453Z DOCKER_CONTAINER_ID: 8c35a80088da0d71b1f8e06729c7a16ec062a2b78a1dec2dfeb74402476ef032 2025-08-14T21:57:33.5394844Z DEVICE_NAME: 2025-08-14T21:57:33.5395023Z DEVICE_TYPE: 2025-08-14T21:57:33.5395213Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-08-14T21:57:33.5395441Z DRY_RUN: false 2025-08-14T21:57:33.5396338Z BENCHMARK_METADATA: {"timestamp": 1755208653, "schema_version": "v3", "name": "linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 1, 2, linux.8xlarge.amx)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "1fc683cf17c8c673044538d10266c00f92987be2", "workflow_id": 16976255153, "run_attempt": 1, "job_id": 48128039103} 2025-08-14T21:57:33.5397578Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-52-11.ec2.internal"}, "name": "", "type": ""}] 2025-08-14T21:57:33.5397994Z DEPENDENCIES: {} 2025-08-14T21:57:33.5398188Z ##[endgroup] 2025-08-14T21:57:33.5420944Z + [[ ! -d test/test-reports ]] 2025-08-14T21:57:33.5421378Z + [[ false == \t\r\u\e ]] 2025-08-14T21:57:33.5423310Z + 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": 1755208653, "schema_version": "v3", "name": "linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 1, 2, linux.8xlarge.amx)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "1fc683cf17c8c673044538d10266c00f92987be2", "workflow_id": 16976255153, "run_attempt": 1, "job_id": 48128039103}' --runners '[{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-52-11.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}' 2025-08-14T21:57:33.6701543Z INFO:root:Upload test/test-reports/inference_timm_models.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976255153/48128039103/inference_timm_models.json 2025-08-14T21:57:33.6985436Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-08-14T21:57:33.9432984Z ##[group]Run cat test/**/*_toprint.log || true 2025-08-14T21:57:33.9433288Z cat test/**/*_toprint.log || true 2025-08-14T21:57:33.9438045Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:57:33.9438312Z env: 2025-08-14T21:57:33.9438505Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:57:33.9438818Z DOCKER_CONTAINER_ID: 8c35a80088da0d71b1f8e06729c7a16ec062a2b78a1dec2dfeb74402476ef032 2025-08-14T21:57:33.9439152Z DEVICE_NAME: 2025-08-14T21:57:33.9439326Z DEVICE_TYPE: 2025-08-14T21:57:33.9439493Z ##[endgroup] 2025-08-14T21:57:33.9516480Z cat: 'test/**/*_toprint.log': No such file or directory 2025-08-14T21:57:33.9553085Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-08-14T21:57:33.9553373Z kill "$MONITOR_SCRIPT_PID" 2025-08-14T21:57:33.9558340Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:57:33.9558614Z env: 2025-08-14T21:57:33.9558792Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:57:33.9559117Z DOCKER_CONTAINER_ID: 8c35a80088da0d71b1f8e06729c7a16ec062a2b78a1dec2dfeb74402476ef032 2025-08-14T21:57:33.9559464Z DEVICE_NAME: 2025-08-14T21:57:33.9559642Z DEVICE_TYPE: 2025-08-14T21:57:33.9559828Z MONITOR_SCRIPT_PID: 47941 2025-08-14T21:57:33.9560025Z ##[endgroup] 2025-08-14T21:57:33.9668344Z Prepare all required actions 2025-08-14T21:57:33.9668775Z Getting action download info 2025-08-14T21:57:34.0935196Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-08-14T21:57:34.3346609Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-08-14T21:57:34.8014530Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-08-14T21:57:34.8014804Z with: 2025-08-14T21:57:34.8015105Z file-suffix: test-dynamic_cpu_inductor_timm-1-2-linux.8xlarge.amx_48128039103 2025-08-14T21:57:34.8015431Z s3-bucket: gha-artifacts 2025-08-14T21:57:34.8015633Z env: 2025-08-14T21:57:34.8015804Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:57:34.8016124Z DOCKER_CONTAINER_ID: 8c35a80088da0d71b1f8e06729c7a16ec062a2b78a1dec2dfeb74402476ef032 2025-08-14T21:57:34.8016463Z DEVICE_NAME: 2025-08-14T21:57:34.8016644Z DEVICE_TYPE: 2025-08-14T21:57:34.8016809Z ##[endgroup] 2025-08-14T21:57:34.8044010Z ##[group]Run # Remove any previous test jsons if they exist 2025-08-14T21:57:34.8044376Z # Remove any previous test jsons if they exist 2025-08-14T21:57:34.8044823Z rm -f test-jsons-*.zip 2025-08-14T21:57:34.8045149Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-08-14T21:57:34.8050292Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:57:34.8050565Z env: 2025-08-14T21:57:34.8050743Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:57:34.8051057Z DOCKER_CONTAINER_ID: 8c35a80088da0d71b1f8e06729c7a16ec062a2b78a1dec2dfeb74402476ef032 2025-08-14T21:57:34.8051387Z DEVICE_NAME: 2025-08-14T21:57:34.8051562Z DEVICE_TYPE: 2025-08-14T21:57:34.8051839Z FILE_SUFFIX: test-dynamic_cpu_inductor_timm-1-2-linux.8xlarge.amx_48128039103 2025-08-14T21:57:34.8052150Z ##[endgroup] 2025-08-14T21:57:34.8244261Z adding: test/test-reports/inference_timm_models.json (deflated 99%) 2025-08-14T21:57:34.8283918Z ##[group]Run # Remove any previous test reports if they exist 2025-08-14T21:57:34.8284378Z # Remove any previous test reports if they exist 2025-08-14T21:57:34.8284653Z rm -f test-reports-*.zip 2025-08-14T21:57:34.8284981Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-08-14T21:57:34.8290136Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:57:34.8290393Z env: 2025-08-14T21:57:34.8290565Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:57:34.8290876Z DOCKER_CONTAINER_ID: 8c35a80088da0d71b1f8e06729c7a16ec062a2b78a1dec2dfeb74402476ef032 2025-08-14T21:57:34.8291212Z DEVICE_NAME: 2025-08-14T21:57:34.8291387Z DEVICE_TYPE: 2025-08-14T21:57:34.8291661Z FILE_SUFFIX: test-dynamic_cpu_inductor_timm-1-2-linux.8xlarge.amx_48128039103 2025-08-14T21:57:34.8291974Z ##[endgroup] 2025-08-14T21:57:34.8343261Z adding: test/test-reports/inference_timm_models.csv (deflated 61%) 2025-08-14T21:57:34.8372216Z ##[group]Run # Remove any previous usage logs if they exist 2025-08-14T21:57:34.8372575Z # Remove any previous usage logs if they exist 2025-08-14T21:57:34.8372839Z rm -f logs-*.zip 2025-08-14T21:57:34.8373097Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-08-14T21:57:34.8373455Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-08-14T21:57:34.8378294Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:57:34.8378560Z env: 2025-08-14T21:57:34.8378771Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:57:34.8379100Z DOCKER_CONTAINER_ID: 8c35a80088da0d71b1f8e06729c7a16ec062a2b78a1dec2dfeb74402476ef032 2025-08-14T21:57:34.8379431Z DEVICE_NAME: 2025-08-14T21:57:34.8379604Z DEVICE_TYPE: 2025-08-14T21:57:34.8379877Z FILE_SUFFIX: test-dynamic_cpu_inductor_timm-1-2-linux.8xlarge.amx_48128039103 2025-08-14T21:57:34.8380181Z ##[endgroup] 2025-08-14T21:57:34.8454840Z adding: usage_log.txt (deflated 96%) 2025-08-14T21:57:34.8462028Z 2025-08-14T21:57:34.8462879Z zip error: Nothing to do! (logs-test-dynamic_cpu_inductor_timm-1-2-linux.8xlarge.amx_48128039103.zip) 2025-08-14T21:57:34.8495815Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-08-14T21:57:34.8496190Z # Remove any previous debugging artifacts if they exist 2025-08-14T21:57:34.8496473Z rm -f debug-*.zip 2025-08-14T21:57:34.8496691Z if [ -d 'test/debug' ]; then 2025-08-14T21:57:34.8496946Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-08-14T21:57:34.8497183Z fi 2025-08-14T21:57:34.8501832Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:57:34.8502087Z env: 2025-08-14T21:57:34.8502262Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:57:34.8502589Z DOCKER_CONTAINER_ID: 8c35a80088da0d71b1f8e06729c7a16ec062a2b78a1dec2dfeb74402476ef032 2025-08-14T21:57:34.8502913Z DEVICE_NAME: 2025-08-14T21:57:34.8503088Z DEVICE_TYPE: 2025-08-14T21:57:34.8503387Z FILE_SUFFIX: test-dynamic_cpu_inductor_timm-1-2-linux.8xlarge.amx_48128039103 2025-08-14T21:57:34.8503696Z ##[endgroup] 2025-08-14T21:57:34.8582727Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T21:57:34.8582979Z with: 2025-08-14T21:57:34.8583149Z s3-bucket: gha-artifacts 2025-08-14T21:57:34.8583395Z s3-prefix: pytorch/pytorch/16976255153/1/artifact 2025-08-14T21:57:34.8583731Z retention-days: 14 2025-08-14T21:57:34.8583911Z if-no-files-found: warn 2025-08-14T21:57:34.8584110Z path: test-jsons-*.zip 2025-08-14T21:57:34.8584299Z name: artifact 2025-08-14T21:57:34.8584470Z region: us-east-1 2025-08-14T21:57:34.8584634Z env: 2025-08-14T21:57:34.8584799Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:57:34.8585117Z DOCKER_CONTAINER_ID: 8c35a80088da0d71b1f8e06729c7a16ec062a2b78a1dec2dfeb74402476ef032 2025-08-14T21:57:34.8585439Z DEVICE_NAME: 2025-08-14T21:57:34.8585610Z DEVICE_TYPE: 2025-08-14T21:57:34.8585775Z ##[endgroup] 2025-08-14T21:57:35.1642751Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-14T21:57:35.1643326Z With the provided path, there will be 1 file uploaded 2025-08-14T21:57:35.1643994Z Uploading to s3 prefix: pytorch/pytorch/16976255153/1/artifact 2025-08-14T21:57:35.1675770Z Starting upload of test-jsons-test-dynamic_cpu_inductor_timm-1-2-linux.8xlarge.amx_48128039103.zip 2025-08-14T21:57:35.2882337Z Finished upload of test-jsons-test-dynamic_cpu_inductor_timm-1-2-linux.8xlarge.amx_48128039103.zip 2025-08-14T21:57:35.3035729Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T21:57:35.3035983Z with: 2025-08-14T21:57:35.3036171Z s3-bucket: gha-artifacts 2025-08-14T21:57:35.3036421Z s3-prefix: pytorch/pytorch/16976255153/1/artifact 2025-08-14T21:57:35.3036671Z retention-days: 14 2025-08-14T21:57:35.3036867Z if-no-files-found: error 2025-08-14T21:57:35.3037073Z path: test-reports-*.zip 2025-08-14T21:57:35.3037264Z name: artifact 2025-08-14T21:57:35.3037444Z region: us-east-1 2025-08-14T21:57:35.3037624Z env: 2025-08-14T21:57:35.3037780Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:57:35.3038133Z DOCKER_CONTAINER_ID: 8c35a80088da0d71b1f8e06729c7a16ec062a2b78a1dec2dfeb74402476ef032 2025-08-14T21:57:35.3038481Z DEVICE_NAME: 2025-08-14T21:57:35.3038658Z DEVICE_TYPE: 2025-08-14T21:57:35.3038823Z ##[endgroup] 2025-08-14T21:57:35.5817551Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-14T21:57:35.5818513Z With the provided path, there will be 1 file uploaded 2025-08-14T21:57:35.5818933Z Uploading to s3 prefix: pytorch/pytorch/16976255153/1/artifact 2025-08-14T21:57:35.5853350Z Starting upload of test-reports-test-dynamic_cpu_inductor_timm-1-2-linux.8xlarge.amx_48128039103.zip 2025-08-14T21:57:35.7357973Z Finished upload of test-reports-test-dynamic_cpu_inductor_timm-1-2-linux.8xlarge.amx_48128039103.zip 2025-08-14T21:57:35.7542823Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T21:57:35.7543080Z with: 2025-08-14T21:57:35.7543266Z s3-bucket: gha-artifacts 2025-08-14T21:57:35.7543514Z s3-prefix: pytorch/pytorch/16976255153/1/artifact 2025-08-14T21:57:35.7543756Z retention-days: 14 2025-08-14T21:57:35.7544106Z if-no-files-found: ignore 2025-08-14T21:57:35.7544329Z path: logs-*.zip 2025-08-14T21:57:35.7544504Z name: artifact 2025-08-14T21:57:35.7544914Z region: us-east-1 2025-08-14T21:57:35.7545100Z env: 2025-08-14T21:57:35.7545262Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:57:35.7545602Z DOCKER_CONTAINER_ID: 8c35a80088da0d71b1f8e06729c7a16ec062a2b78a1dec2dfeb74402476ef032 2025-08-14T21:57:35.7545958Z DEVICE_NAME: 2025-08-14T21:57:35.7546138Z DEVICE_TYPE: 2025-08-14T21:57:35.7546305Z ##[endgroup] 2025-08-14T21:57:36.0328150Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-14T21:57:36.0328538Z With the provided path, there will be 1 file uploaded 2025-08-14T21:57:36.0328848Z Uploading to s3 prefix: pytorch/pytorch/16976255153/1/artifact 2025-08-14T21:57:36.0360025Z Starting upload of logs-test-dynamic_cpu_inductor_timm-1-2-linux.8xlarge.amx_48128039103.zip 2025-08-14T21:57:36.1463582Z Finished upload of logs-test-dynamic_cpu_inductor_timm-1-2-linux.8xlarge.amx_48128039103.zip 2025-08-14T21:57:36.1621165Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T21:57:36.1621419Z with: 2025-08-14T21:57:36.1621600Z s3-bucket: gha-artifacts 2025-08-14T21:57:36.1621843Z s3-prefix: pytorch/pytorch/16976255153/1/artifact 2025-08-14T21:57:36.1622083Z retention-days: 14 2025-08-14T21:57:36.1622390Z if-no-files-found: ignore 2025-08-14T21:57:36.1622603Z path: debug-*.zip 2025-08-14T21:57:36.1622780Z name: artifact 2025-08-14T21:57:36.1622960Z region: us-east-1 2025-08-14T21:57:36.1623138Z env: 2025-08-14T21:57:36.1623303Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:57:36.1623633Z DOCKER_CONTAINER_ID: 8c35a80088da0d71b1f8e06729c7a16ec062a2b78a1dec2dfeb74402476ef032 2025-08-14T21:57:36.1623969Z DEVICE_NAME: 2025-08-14T21:57:36.1624148Z DEVICE_TYPE: 2025-08-14T21:57:36.1624311Z ##[endgroup] 2025-08-14T21:57:36.4240897Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-08-14T21:57:36.4418281Z ##[group]Run # shellcheck disable=SC2156 2025-08-14T21:57:36.4418657Z # shellcheck disable=SC2156 2025-08-14T21:57:36.4419053Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-08-14T21:57:36.4424927Z shell: /usr/bin/bash -e {0} 2025-08-14T21:57:36.4425142Z env: 2025-08-14T21:57:36.4425321Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:57:36.4425655Z DOCKER_CONTAINER_ID: 8c35a80088da0d71b1f8e06729c7a16ec062a2b78a1dec2dfeb74402476ef032 2025-08-14T21:57:36.4426003Z DEVICE_NAME: 2025-08-14T21:57:36.4426182Z DEVICE_TYPE: 2025-08-14T21:57:36.4426349Z ##[endgroup] 2025-08-14T21:57:36.6294449Z Prepare all required actions 2025-08-14T21:57:36.6294822Z Getting action download info 2025-08-14T21:57:36.7450030Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-08-14T21:57:36.7450315Z with: 2025-08-14T21:57:36.7450548Z job_id: 48128039103 2025-08-14T21:57:36.7450935Z job_name: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 1, 2, linux.8xlarge.amx) 2025-08-14T21:57:36.7451351Z workflow_name: inductor 2025-08-14T21:57:36.7451563Z workflow_run_id: 16976255153 2025-08-14T21:57:36.7451777Z workflow_attempt: 1 2025-08-14T21:57:36.7451960Z env: 2025-08-14T21:57:36.7452137Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:57:36.7452480Z DOCKER_CONTAINER_ID: 8c35a80088da0d71b1f8e06729c7a16ec062a2b78a1dec2dfeb74402476ef032 2025-08-14T21:57:36.7452838Z DEVICE_NAME: 2025-08-14T21:57:36.7453020Z DEVICE_TYPE: 2025-08-14T21:57:36.7453199Z ##[endgroup] 2025-08-14T21:57:36.7480578Z ##[group]Run echo "workflow_id: 16976255153" 2025-08-14T21:57:36.7480919Z echo "workflow_id: 16976255153" 2025-08-14T21:57:36.7481200Z echo "workflow_attempt: 1" 2025-08-14T21:57:36.7481445Z echo "workflow_Name: inductor" 2025-08-14T21:57:36.7481684Z echo "job_id: 48128039103" 2025-08-14T21:57:36.7482125Z echo "job_name: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 1, 2, linux.8xlarge.amx)" 2025-08-14T21:57:36.7482589Z echo "artifact_prefix: " 2025-08-14T21:57:36.7482831Z python3 --version 2025-08-14T21:57:36.7489607Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:57:36.7489890Z env: 2025-08-14T21:57:36.7490078Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:57:36.7490422Z DOCKER_CONTAINER_ID: 8c35a80088da0d71b1f8e06729c7a16ec062a2b78a1dec2dfeb74402476ef032 2025-08-14T21:57:36.7490765Z DEVICE_NAME: 2025-08-14T21:57:36.7490935Z DEVICE_TYPE: 2025-08-14T21:57:36.7491111Z ##[endgroup] 2025-08-14T21:57:36.7513216Z workflow_id: 16976255153 2025-08-14T21:57:36.7513652Z workflow_attempt: 1 2025-08-14T21:57:36.7513851Z workflow_Name: inductor 2025-08-14T21:57:36.7514050Z job_id: 48128039103 2025-08-14T21:57:36.7514426Z job_name: linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 1, 2, linux.8xlarge.amx) 2025-08-14T21:57:36.7514841Z artifact_prefix: 2025-08-14T21:57:36.7529526Z Python 3.9.23 2025-08-14T21:57:36.7570086Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-14T21:57:36.7586989Z with: 2025-08-14T21:57:36.7587206Z shell: bash 2025-08-14T21:57:36.7587414Z timeout_minutes: 5 2025-08-14T21:57:36.7587625Z max_attempts: 5 2025-08-14T21:57:36.7587812Z retry_wait_seconds: 30 2025-08-14T21:57:36.7588241Z 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 2025-08-14T21:57:36.7588802Z polling_interval_seconds: 1 2025-08-14T21:57:36.7589017Z warning_on_retry: true 2025-08-14T21:57:36.7589211Z continue_on_error: false 2025-08-14T21:57:36.7589407Z env: 2025-08-14T21:57:36.7589588Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:57:36.7589914Z DOCKER_CONTAINER_ID: 8c35a80088da0d71b1f8e06729c7a16ec062a2b78a1dec2dfeb74402476ef032 2025-08-14T21:57:36.7590264Z DEVICE_NAME: 2025-08-14T21:57:36.7590442Z DEVICE_TYPE: 2025-08-14T21:57:36.7590609Z ##[endgroup] 2025-08-14T21:57:37.0476903Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:57:37.1123871Z Collecting python-dateutil==2.8.2 2025-08-14T21:57:37.1261451Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-08-14T21:57:37.8779510Z Collecting boto3==1.35.42 2025-08-14T21:57:37.8817554Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-08-14T21:57:38.2898240Z Collecting pandas==2.1.3 2025-08-14T21:57:38.2938487Z Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB) 2025-08-14T21:57:38.3790525Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7) 2025-08-14T21:57:38.3801435Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0) 2025-08-14T21:57:38.3840671Z 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) 2025-08-14T21:57:38.3844082Z 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) 2025-08-14T21:57:38.3844969Z 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) 2025-08-14T21:57:38.4559563Z Collecting tzdata>=2022.1 2025-08-14T21:57:38.4598883Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-08-14T21:57:38.4688690Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1) 2025-08-14T21:57:39.1115640Z Collecting numpy<2,>=1.22.4 2025-08-14T21:57:39.1160809Z Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) 2025-08-14T21:57:39.2427073Z 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) 2025-08-14T21:57:39.2428626Z 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) 2025-08-14T21:57:39.2476486Z 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) 2025-08-14T21:57:39.2584243Z 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) 2025-08-14T21:57:39.2669203Z 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) (4.14.1) 2025-08-14T21:57:39.2670162Z 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) 2025-08-14T21:57:39.3962911Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3 2025-08-14T21:57:43.7859791Z Attempting uninstall: boto3 2025-08-14T21:57:43.7862937Z Found existing installation: boto3 1.35.33 2025-08-14T21:57:43.7934300Z Uninstalling boto3-1.35.33: 2025-08-14T21:57:43.7942740Z Successfully uninstalled boto3-1.35.33 2025-08-14T21:57:43.8437476Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2 2025-08-14T21:57:44.8342161Z Command completed after 1 attempt(s). 2025-08-14T21:57:44.8411773Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-08-14T21:57:44.8412249Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-08-14T21:57:44.8412627Z  --workflow-run-id "16976255153" \ 2025-08-14T21:57:44.8412867Z  --workflow-name "inductor" \ 2025-08-14T21:57:44.8413111Z  --workflow-run-attempt "1" \ 2025-08-14T21:57:44.8413338Z  --job-id "48128039103" \ 2025-08-14T21:57:44.8413741Z  --job-name "linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 1, 2, linux.8xlarge.amx)" \ 2025-08-14T21:57:44.8414243Z  --local-path "" \ 2025-08-14T21:57:44.8414456Z  --artifact-prefix "" 2025-08-14T21:57:44.8419304Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:57:44.8419556Z env: 2025-08-14T21:57:44.8419731Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:57:44.8420063Z DOCKER_CONTAINER_ID: 8c35a80088da0d71b1f8e06729c7a16ec062a2b78a1dec2dfeb74402476ef032 2025-08-14T21:57:44.8420386Z DEVICE_NAME: 2025-08-14T21:57:44.8420559Z DEVICE_TYPE: 2025-08-14T21:57:44.8420728Z ##[endgroup] 2025-08-14T21:57:45.8703635Z repo: pytorch/pytorch 2025-08-14T21:57:45.8704572Z Search for test log in s3 bucket: ossci-utilization 2025-08-14T21:57:45.8705009Z Downloading logs-test-dynamic_cpu_inductor_timm-1-2-linux.8xlarge.amx_48128039103.zip 2025-08-14T21:57:45.8705574Z extracting usage_log.txt from zip file logs-test-dynamic_cpu_inductor_timm-1-2-linux.8xlarge.amx_48128039103.zip 2025-08-14T21:57:45.8705983Z Converted Log Model: UtilizationMetadata: 2025-08-14T21:57:45.8706903Z UtilizationMetadata(level='metadata', workflow_id='16976255153', job_id='48128039103', workflow_name='inductor', job_name='linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 1, 2, linux.8xlarge.amx)', usage_collect_interval=1.0, data_model_version=1.5, start_at=1755206919, gpu_count=0, cpu_count=32, gpu_type=None, error=None) 2025-08-14T21:57:45.8707893Z [Db Segments] detected pytest cmd: 9, generated segments: 9 2025-08-14T21:57:45.8708178Z [db model] Peek db timeseries 2025-08-14T21:57:45.8708378Z :{ 2025-08-14T21:57:45.8708547Z "created_at": 1755208665, 2025-08-14T21:57:45.8708761Z "type": "utilization", 2025-08-14T21:57:45.8708955Z "tags": [ 2025-08-14T21:57:45.8709118Z "record" 2025-08-14T21:57:45.8709281Z ], 2025-08-14T21:57:45.8709436Z "time_stamp": 1755206919, 2025-08-14T21:57:45.8709641Z "repo": "pytorch/pytorch", 2025-08-14T21:57:45.8709842Z "workflow_id": 16976255153, 2025-08-14T21:57:45.8710034Z "run_attempt": 1, 2025-08-14T21:57:45.8710219Z "job_id": 48128039103, 2025-08-14T21:57:45.8710415Z "workflow_name": "inductor", 2025-08-14T21:57:45.8710804Z "job_name": "linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_timm, 1, 2, linux.8xlarge.amx)", 2025-08-14T21:57:45.8711184Z "json_data": "{}" 2025-08-14T21:57:45.8711362Z } 2025-08-14T21:57:45.8711727Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/16976255153/1/48128039103/metadata 2025-08-14T21:57:45.8712322Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/16976255153/1/48128039103/metadata 2025-08-14T21:57:45.8712941Z Writing 342 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/16976255153/1/48128039103/time_series 2025-08-14T21:57:45.8713558Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/16976255153/1/48128039103/time_series 2025-08-14T21:57:46.0090544Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-08-14T21:57:46.0090914Z with: 2025-08-14T21:57:46.0091108Z env: 2025-08-14T21:57:46.0091295Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:57:46.0091673Z DOCKER_CONTAINER_ID: 8c35a80088da0d71b1f8e06729c7a16ec062a2b78a1dec2dfeb74402476ef032 2025-08-14T21:57:46.0092064Z DEVICE_NAME: 2025-08-14T21:57:46.0092353Z DEVICE_TYPE: 2025-08-14T21:57:46.0092550Z ##[endgroup] 2025-08-14T21:57:46.0115077Z ##[group]Run set -eou pipefail 2025-08-14T21:57:46.0115381Z set -eou pipefail 2025-08-14T21:57:46.0115609Z  2025-08-14T21:57:46.0115904Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-08-14T21:57:46.0116265Z for _ in $(seq 1440); do 2025-08-14T21:57:46.0116546Z  # Break if no ssh session exists anymore 2025-08-14T21:57:46.0116835Z  if [ "$(who)" = "" ]; then 2025-08-14T21:57:46.0117048Z  break 2025-08-14T21:57:46.0117275Z  fi 2025-08-14T21:57:46.0117449Z  echo "." 2025-08-14T21:57:46.0117776Z  sleep 5 2025-08-14T21:57:46.0117957Z done 2025-08-14T21:57:46.0123373Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:57:46.0123670Z env: 2025-08-14T21:57:46.0123857Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:57:46.0124213Z DOCKER_CONTAINER_ID: 8c35a80088da0d71b1f8e06729c7a16ec062a2b78a1dec2dfeb74402476ef032 2025-08-14T21:57:46.0124576Z DEVICE_NAME: 2025-08-14T21:57:46.0124759Z DEVICE_TYPE: 2025-08-14T21:57:46.0124943Z ##[endgroup] 2025-08-14T21:57:46.0149931Z Holding runner for 2 hours until all ssh sessions have logged out 2025-08-14T21:57:46.0234036Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:57:46.0234615Z # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:57:46.0234926Z # shellcheck disable=SC2046 2025-08-14T21:57:46.0235202Z docker stop $(docker ps -q) || true 2025-08-14T21:57:46.0235450Z # Prune all of the docker images 2025-08-14T21:57:46.0235705Z docker system prune -af 2025-08-14T21:57:46.0240584Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:57:46.0240854Z env: 2025-08-14T21:57:46.0241029Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:57:46.0241368Z DOCKER_CONTAINER_ID: 8c35a80088da0d71b1f8e06729c7a16ec062a2b78a1dec2dfeb74402476ef032 2025-08-14T21:57:46.0241717Z DEVICE_NAME: 2025-08-14T21:57:46.0241900Z DEVICE_TYPE: 2025-08-14T21:57:46.0242067Z ##[endgroup] 2025-08-14T21:57:56.9335043Z 8c35a80088da 2025-08-14T21:57:57.4681146Z Deleted Containers: 2025-08-14T21:57:57.4681513Z 8c35a80088da0d71b1f8e06729c7a16ec062a2b78a1dec2dfeb74402476ef032 2025-08-14T21:57:57.4681745Z 2025-08-14T21:58:05.0995802Z Deleted Images: 2025-08-14T21:58:05.0996517Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 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'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:58:05.7234568Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-08-14T21:58:05.7256243Z http.https://github.com/.extraheader 2025-08-14T21:58:05.7269801Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-08-14T21:58:05.7307518Z [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' || :" 2025-08-14T21:58:05.7623277Z Entering 'android/libs/fbjni' 2025-08-14T21:58:05.7667818Z http.https://github.com/.extraheader 2025-08-14T21:58:05.7707607Z Entering 'third_party/FP16' 2025-08-14T21:58:05.7744897Z http.https://github.com/.extraheader 2025-08-14T21:58:05.7782690Z Entering 'third_party/FXdiv' 2025-08-14T21:58:05.7816694Z 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'third_party/composable_kernel' 2025-08-14T21:58:05.8436561Z http.https://github.com/.extraheader 2025-08-14T21:58:05.8479745Z Entering 'third_party/cpp-httplib' 2025-08-14T21:58:05.8517643Z http.https://github.com/.extraheader 2025-08-14T21:58:05.8557932Z Entering 'third_party/cpuinfo' 2025-08-14T21:58:05.8596290Z http.https://github.com/.extraheader 2025-08-14T21:58:05.8634189Z Entering 'third_party/cudnn_frontend' 2025-08-14T21:58:05.8674019Z http.https://github.com/.extraheader 2025-08-14T21:58:05.8708545Z Entering 'third_party/cutlass' 2025-08-14T21:58:05.8747000Z http.https://github.com/.extraheader 2025-08-14T21:58:05.8793302Z Entering 'third_party/fbgemm' 2025-08-14T21:58:05.8826133Z http.https://github.com/.extraheader 2025-08-14T21:58:05.8863024Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T21:58:05.8902105Z http.https://github.com/.extraheader 2025-08-14T21:58:05.8941153Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:58:05.8980109Z http.https://github.com/.extraheader 2025-08-14T21:58:05.9024993Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:58:05.9061653Z http.https://github.com/.extraheader 2025-08-14T21:58:05.9099982Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T21:58:05.9136041Z http.https://github.com/.extraheader 2025-08-14T21:58:05.9185120Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T21:58:05.9219458Z http.https://github.com/.extraheader 2025-08-14T21:58:05.9259938Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:58:05.9297296Z http.https://github.com/.extraheader 2025-08-14T21:58:05.9331676Z Entering 'third_party/fbgemm/external/json' 2025-08-14T21:58:05.9371058Z http.https://github.com/.extraheader 2025-08-14T21:58:05.9410438Z Entering 'third_party/flash-attention' 2025-08-14T21:58:05.9446469Z http.https://github.com/.extraheader 2025-08-14T21:58:05.9485717Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:58:05.9522366Z http.https://github.com/.extraheader 2025-08-14T21:58:05.9568195Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:58:05.9604085Z http.https://github.com/.extraheader 2025-08-14T21:58:05.9648515Z Entering 'third_party/flatbuffers' 2025-08-14T21:58:05.9691693Z http.https://github.com/.extraheader 2025-08-14T21:58:05.9730973Z Entering 'third_party/fmt' 2025-08-14T21:58:05.9770471Z http.https://github.com/.extraheader 2025-08-14T21:58:05.9805155Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:58:05.9845663Z http.https://github.com/.extraheader 2025-08-14T21:58:05.9879311Z Entering 'third_party/gloo' 2025-08-14T21:58:05.9913717Z http.https://github.com/.extraheader 2025-08-14T21:58:05.9955556Z Entering 'third_party/googletest' 2025-08-14T21:58:05.9992006Z http.https://github.com/.extraheader 2025-08-14T21:58:06.0034698Z Entering 'third_party/ideep' 2025-08-14T21:58:06.0070397Z http.https://github.com/.extraheader 2025-08-14T21:58:06.0108135Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T21:58:06.0146259Z http.https://github.com/.extraheader 2025-08-14T21:58:06.0193132Z Entering 'third_party/ittapi' 2025-08-14T21:58:06.0230746Z http.https://github.com/.extraheader 2025-08-14T21:58:06.0270816Z Entering 'third_party/kineto' 2025-08-14T21:58:06.0306587Z http.https://github.com/.extraheader 2025-08-14T21:58:06.0344210Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:58:06.0382966Z http.https://github.com/.extraheader 2025-08-14T21:58:06.0417921Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:58:06.0456719Z http.https://github.com/.extraheader 2025-08-14T21:58:06.0494754Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:58:06.0528463Z http.https://github.com/.extraheader 2025-08-14T21:58:06.0560953Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:58:06.0602274Z http.https://github.com/.extraheader 2025-08-14T21:58:06.0637411Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:58:06.0674779Z http.https://github.com/.extraheader 2025-08-14T21:58:06.0709757Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:58:06.0747317Z http.https://github.com/.extraheader 2025-08-14T21:58:06.0787775Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:58:06.0822964Z http.https://github.com/.extraheader 2025-08-14T21:58:06.0857993Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:58:06.0895784Z http.https://github.com/.extraheader 2025-08-14T21:58:06.0932852Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:58:06.0971072Z http.https://github.com/.extraheader 2025-08-14T21:58:06.1007644Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:58:06.1043654Z http.https://github.com/.extraheader 2025-08-14T21:58:06.1083467Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:58:06.1121106Z http.https://github.com/.extraheader 2025-08-14T21:58:06.1155686Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:58:06.1193151Z http.https://github.com/.extraheader 2025-08-14T21:58:06.1231089Z Entering 'third_party/kleidiai' 2025-08-14T21:58:06.1271711Z http.https://github.com/.extraheader 2025-08-14T21:58:06.1305929Z Entering 'third_party/mimalloc' 2025-08-14T21:58:06.1345517Z http.https://github.com/.extraheader 2025-08-14T21:58:06.1378970Z Entering 'third_party/nlohmann' 2025-08-14T21:58:06.1416788Z http.https://github.com/.extraheader 2025-08-14T21:58:06.1454956Z Entering 'third_party/onnx' 2025-08-14T21:58:06.1493112Z http.https://github.com/.extraheader 2025-08-14T21:58:06.1547373Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T21:58:06.1587206Z http.https://github.com/.extraheader 2025-08-14T21:58:06.1630383Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T21:58:06.1672771Z http.https://github.com/.extraheader 2025-08-14T21:58:06.1712660Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:58:06.1756426Z http.https://github.com/.extraheader 2025-08-14T21:58:06.1789936Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:58:06.1828259Z http.https://github.com/.extraheader 2025-08-14T21:58:06.1869155Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:58:06.1905570Z http.https://github.com/.extraheader 2025-08-14T21:58:06.1941021Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:58:06.1976754Z http.https://github.com/.extraheader 2025-08-14T21:58:06.2018610Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:58:06.2057492Z http.https://github.com/.extraheader 2025-08-14T21:58:06.2094761Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:58:06.2127438Z http.https://github.com/.extraheader 2025-08-14T21:58:06.2162383Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:58:06.2197785Z http.https://github.com/.extraheader 2025-08-14T21:58:06.2238902Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:58:06.2274495Z http.https://github.com/.extraheader 2025-08-14T21:58:06.2314918Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:58:06.2355407Z http.https://github.com/.extraheader 2025-08-14T21:58:06.2392422Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:58:06.2428242Z http.https://github.com/.extraheader 2025-08-14T21:58:06.2483424Z Entering 'third_party/pocketfft' 2025-08-14T21:58:06.2520391Z http.https://github.com/.extraheader 2025-08-14T21:58:06.2556456Z Entering 'third_party/protobuf' 2025-08-14T21:58:06.2594516Z http.https://github.com/.extraheader 2025-08-14T21:58:06.2635488Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:58:06.2685036Z http.https://github.com/.extraheader 2025-08-14T21:58:06.2707409Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T21:58:06.2743650Z http.https://github.com/.extraheader 2025-08-14T21:58:06.2783363Z Entering 'third_party/psimd' 2025-08-14T21:58:06.2823574Z http.https://github.com/.extraheader 2025-08-14T21:58:06.2859902Z Entering 'third_party/pthreadpool' 2025-08-14T21:58:06.2900811Z http.https://github.com/.extraheader 2025-08-14T21:58:06.2934537Z Entering 'third_party/pybind11' 2025-08-14T21:58:06.2973872Z http.https://github.com/.extraheader 2025-08-14T21:58:06.3009745Z Entering 'third_party/python-peachpy' 2025-08-14T21:58:06.3056138Z http.https://github.com/.extraheader 2025-08-14T21:58:06.3096012Z Entering 'third_party/sleef' 2025-08-14T21:58:06.3133844Z http.https://github.com/.extraheader 2025-08-14T21:58:06.3171600Z Entering 'third_party/tensorpipe' 2025-08-14T21:58:06.3217284Z http.https://github.com/.extraheader 2025-08-14T21:58:06.3248336Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:58:06.3285713Z http.https://github.com/.extraheader 2025-08-14T21:58:06.3322790Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:58:06.3359598Z http.https://github.com/.extraheader 2025-08-14T21:58:06.3398078Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:58:06.3431924Z http.https://github.com/.extraheader 2025-08-14T21:58:06.3469997Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:58:06.3506769Z http.https://github.com/.extraheader 2025-08-14T21:58:06.3539903Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:58:06.3583214Z http.https://github.com/.extraheader 2025-08-14T21:58:06.3707996Z A job completed hook has been configured by the self-hosted runner administrator 2025-08-14T21:58:06.3731221Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh' 2025-08-14T21:58:06.3734869Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:58:06.3735155Z ##[endgroup] 2025-08-14T21:58:06.3824022Z [!ALERT!] Swap in detected! [!ALERT!] 2025-08-14T21:58:16.4819696Z [!ALERT!] Swap out detected [!ALERT!] 2025-08-14T21:58:33.5704354Z Cleaning up orphan processes