2025-08-14T21:23:17.7360187Z Current runner version: '2.328.0' 2025-08-14T21:23:17.7365884Z Runner name: 'i-07262e63ad92c7db0' 2025-08-14T21:23:17.7366546Z Runner group name: 'default' 2025-08-14T21:23:17.7367362Z Machine name: 'ip-10-0-63-173' 2025-08-14T21:23:17.7369633Z ##[group]GITHUB_TOKEN Permissions 2025-08-14T21:23:17.7371998Z Contents: read 2025-08-14T21:23:17.7372457Z Metadata: read 2025-08-14T21:23:17.7372888Z ##[endgroup] 2025-08-14T21:23:17.7374890Z Secret source: Actions 2025-08-14T21:23:17.7375420Z Prepare workflow directory 2025-08-14T21:23:17.7800492Z Prepare all required actions 2025-08-14T21:23:17.7836889Z Getting action download info 2025-08-14T21:23:18.0862562Z Download action repository 'pytorch/test-infra@main' (SHA:83f58f391e939c10dcb8cb6d745e4cefa3b98a84) 2025-08-14T21:23:19.5519001Z Download action repository 'pytorch/pytorch@main' (SHA:3be70dc30e893b552fc0f23ca06cd8f7949b6d08) 2025-08-14T21:23:34.7081472Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-08-14T21:23:35.0322291Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-08-14T21:23:35.2788684Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-08-14T21:23:35.4405955Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-08-14T21:23:35.7115072Z Getting action download info 2025-08-14T21:23:35.8690932Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-08-14T21:23:36.1530150Z Getting action download info 2025-08-14T21:23:36.2739203Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-08-14T21:23:36.4729756Z Getting action download info 2025-08-14T21:23:36.5743454Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-08-14T21:23:36.7762896Z Getting action download info 2025-08-14T21:23:36.9134927Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (1fc683cf17c8c673044538d10266c00f92987be2) 2025-08-14T21:23:36.9138394Z ##[group] Inputs 2025-08-14T21:23:36.9138721Z build-environment: linux-jammy-py3.9-gcc11-build 2025-08-14T21:23:36.9141139Z test-matrix: {"include": [{"config": "cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_timm", "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": "cpu_inductor_freezing_avx2_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_timm", "shard": 1, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_timm", "shard": 2, "num_shards": 2, "runner": "linux.10xlarge.avx2"}]} 2025-08-14T21:23:36.9143980Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:23:36.9144576Z sync-tag: 2025-08-14T21:23:36.9145254Z timeout-minutes: 240 2025-08-14T21:23:36.9145457Z use-gha: 2025-08-14T21:23:36.9146037Z dashboard-tag: 2025-08-14T21:23:36.9146344Z s3-bucket: gha-artifacts 2025-08-14T21:23:36.9146562Z aws-role-to-assume: 2025-08-14T21:23:36.9147013Z disable-monitor: false 2025-08-14T21:23:36.9147270Z monitor-log-interval: 5 2025-08-14T21:23:36.9147509Z monitor-data-collect-interval: 1 2025-08-14T21:23:36.9147748Z ##[endgroup] 2025-08-14T21:23:36.9148216Z Complete job name: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (dynamic_cpu_inductor_timm, 1, 2, linux.8xlarge.amx) 2025-08-14T21:23:36.9642855Z A job started hook has been configured by the self-hosted runner administrator 2025-08-14T21:23:36.9726232Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-08-14T21:23:36.9733877Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:23:36.9734348Z ##[endgroup] 2025-08-14T21:23:38.0230974Z Runner Type: linux.8xlarge.amx 2025-08-14T21:23:38.0231648Z Instance Type: m7i-flex.8xlarge 2025-08-14T21:23:38.0231951Z AMI Name: unknown 2025-08-14T21:23:38.0261606Z AMI ID: ami-05ffe3c48a9991133 2025-08-14T21:23:42.5547751Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-08-14T21:23:42.5548135Z with: 2025-08-14T21:23:42.5548840Z github-secret: *** 2025-08-14T21:23:42.5549369Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-08-14T21:23:42.5549915Z activate-with-label: false 2025-08-14T21:23:42.5550225Z label: with-ssh 2025-08-14T21:23:42.5550446Z remove-existing-keys: true 2025-08-14T21:23:42.5550766Z fail-silently: true 2025-08-14T21:23:42.5551056Z env: 2025-08-14T21:23:42.5551251Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:23:42.5551505Z ##[endgroup] 2025-08-14T21:23:42.6731828Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-08-14T21:23:42.6732754Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-08-14T21:23:42.7094864Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-08-14T21:23:42.7095293Z with: 2025-08-14T21:23:42.7095575Z no-sudo: true 2025-08-14T21:23:42.7095989Z submodules: recursive 2025-08-14T21:23:42.7096288Z fetch-depth: 0 2025-08-14T21:23:42.7096572Z env: 2025-08-14T21:23:42.7096900Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:23:42.7097191Z ##[endgroup] 2025-08-14T21:23:42.7261712Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:23:42.7262368Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:23:42.7271234Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:23:42.7271512Z env: 2025-08-14T21:23:42.7271710Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:23:42.7271940Z ##[endgroup] 2025-08-14T21:23:42.7364499Z ##[group]Run # Use all available CPUs for fetching 2025-08-14T21:23:42.7364864Z # Use all available CPUs for fetching 2025-08-14T21:23:42.7365115Z cd "${GITHUB_WORKSPACE}" 2025-08-14T21:23:42.7365370Z git config --global fetch.parallel 0 2025-08-14T21:23:42.7365651Z git config --global submodule.fetchJobs 0 2025-08-14T21:23:42.7365889Z  2025-08-14T21:23:42.7366155Z # Clean workspace. The default checkout action should also do this, but 2025-08-14T21:23:42.7366487Z # do it here as well just in case 2025-08-14T21:23:42.7366714Z if [[ -d .git ]]; then 2025-08-14T21:23:42.7366948Z  if [ -z "${NO_SUDO}" ]; then 2025-08-14T21:23:42.7367171Z  sudo git clean -ffdx 2025-08-14T21:23:42.7367376Z  else 2025-08-14T21:23:42.7367546Z  git clean -ffdx 2025-08-14T21:23:42.7367734Z  fi 2025-08-14T21:23:42.7367893Z fi 2025-08-14T21:23:42.7373062Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:23:42.7373491Z env: 2025-08-14T21:23:42.7373664Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:23:42.7373844Z NO_SUDO: true 2025-08-14T21:23:42.7374017Z ##[endgroup] 2025-08-14T21:23:42.7507475Z ##[group]Run actions/checkout@v4 2025-08-14T21:23:42.7507757Z with: 2025-08-14T21:23:42.7507993Z ref: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:23:42.7508262Z fetch-depth: 0 2025-08-14T21:23:42.7508462Z submodules: recursive 2025-08-14T21:23:42.7508686Z show-progress: false 2025-08-14T21:23:42.7508915Z repository: pytorch/pytorch 2025-08-14T21:23:42.7509416Z token: *** 2025-08-14T21:23:42.7509630Z ssh-strict: true 2025-08-14T21:23:42.7509839Z ssh-user: git 2025-08-14T21:23:42.7510059Z persist-credentials: true 2025-08-14T21:23:42.7510289Z clean: true 2025-08-14T21:23:42.7510513Z sparse-checkout-cone-mode: true 2025-08-14T21:23:42.7510772Z fetch-tags: false 2025-08-14T21:23:42.7510967Z lfs: false 2025-08-14T21:23:42.7511178Z set-safe-directory: true 2025-08-14T21:23:42.7511426Z env: 2025-08-14T21:23:42.7511624Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:23:42.7511849Z ##[endgroup] 2025-08-14T21:23:42.8850735Z Syncing repository: pytorch/pytorch 2025-08-14T21:23:42.8851757Z ##[group]Getting Git version info 2025-08-14T21:23:42.8852066Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-08-14T21:23:42.8852498Z [command]/usr/bin/git version 2025-08-14T21:23:42.9062690Z git version 2.47.1 2025-08-14T21:23:42.9081979Z ##[endgroup] 2025-08-14T21:23:42.9093931Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/01ccdf4a-f9a0-4af0-9308-69cace43b6c7/.gitconfig' 2025-08-14T21:23:42.9111726Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/01ccdf4a-f9a0-4af0-9308-69cace43b6c7' before making global git config changes 2025-08-14T21:23:42.9112429Z Adding repository directory to the temporary git global config as a safe directory 2025-08-14T21:23:42.9119741Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:23:42.9172312Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-08-14T21:23:42.9178850Z ##[group]Initializing the repository 2025-08-14T21:23:42.9181242Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:23:42.9233210Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-08-14T21:23:42.9238143Z hint: is subject to change. To configure the initial branch name to use in all 2025-08-14T21:23:42.9243174Z hint: of your new repositories, which will suppress this warning, call: 2025-08-14T21:23:42.9247762Z hint: 2025-08-14T21:23:42.9249887Z hint: git config --global init.defaultBranch 2025-08-14T21:23:42.9250140Z hint: 2025-08-14T21:23:42.9250410Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-08-14T21:23:42.9250798Z hint: 'development'. The just-created branch can be renamed via this command: 2025-08-14T21:23:42.9251093Z hint: 2025-08-14T21:23:42.9251257Z hint: git branch -m 2025-08-14T21:23:42.9255296Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-08-14T21:23:42.9263750Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-08-14T21:23:42.9303192Z ##[endgroup] 2025-08-14T21:23:42.9303561Z ##[group]Disabling automatic garbage collection 2025-08-14T21:23:42.9305260Z [command]/usr/bin/git config --local gc.auto 0 2025-08-14T21:23:42.9338354Z ##[endgroup] 2025-08-14T21:23:42.9338757Z ##[group]Setting up auth 2025-08-14T21:23:42.9339133Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-08-14T21:23:42.9366682Z [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' || :" 2025-08-14T21:23:42.9744682Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-08-14T21:23:42.9773163Z [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' || :" 2025-08-14T21:23:43.0095406Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-08-14T21:23:43.0154151Z ##[endgroup] 2025-08-14T21:23:43.0154835Z ##[group]Fetching the repository 2025-08-14T21:23:43.0159548Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-08-14T21:24:28.1327492Z From https://github.com/pytorch/pytorch 2025-08-14T21:24:28.1328044Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-08-14T21:24:28.1328389Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-08-14T21:24:28.1328800Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-08-14T21:24:28.1334348Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-08-14T21:24:28.1334805Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-08-14T21:24:28.1335238Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-08-14T21:24:28.1335604Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-08-14T21:24:28.1335962Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-08-14T21:24:28.1336296Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-08-14T21:24:28.1336624Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-08-14T21:24:28.1337268Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-08-14T21:24:28.1337733Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-08-14T21:24:28.1338157Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-08-14T21:24:28.1338494Z * [new branch] addVllmPin -> origin/addVllmPin 2025-08-14T21:24:28.1338855Z * [new branch] add_windows_testing_back -> origin/add_windows_testing_back 2025-08-14T21:24:28.1339202Z * [new branch] addbuildvllm -> origin/addbuildvllm 2025-08-14T21:24:28.1339561Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-08-14T21:24:28.1339874Z * [new branch] addsimde -> origin/addsimde 2025-08-14T21:24:28.1340204Z * [new branch] addvllpinnedfile -> origin/addvllpinnedfile 2025-08-14T21:24:28.1340552Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-08-14T21:24:28.1340892Z * [new branch] adi/skip_slow_tests -> origin/adi/skip_slow_tests 2025-08-14T21:24:28.1341223Z * [new branch] adi/test -> origin/adi/test 2025-08-14T21:24:28.1341535Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-08-14T21:24:28.1341877Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-08-14T21:24:28.1342276Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-08-14T21:24:28.1343498Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-08-14T21:24:28.1343852Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-08-14T21:24:28.1345369Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-08-14T21:24:28.1349339Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-08-14T21:24:28.1349815Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-08-14T21:24:28.1350189Z * [new branch] albanD-patch-1 -> origin/albanD-patch-1 2025-08-14T21:24:28.1350518Z * [new branch] alt-disable -> origin/alt-disable 2025-08-14T21:24:28.1356730Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-08-14T21:24:28.1361350Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-08-14T21:24:28.1366418Z * [new branch] angelayi/assert_tensor_metadata_device -> origin/angelayi/assert_tensor_metadata_device 2025-08-14T21:24:28.1371309Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-08-14T21:24:28.1377009Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-08-14T21:24:28.1379470Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-08-14T21:24:28.1380080Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-08-14T21:24:28.1380487Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 2025-08-14T21:24:28.1380878Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-08-14T21:24:28.1381236Z * [new branch] angelayi/del_lib -> origin/angelayi/del_lib 2025-08-14T21:24:28.1381579Z * [new branch] angelayi/docs -> origin/angelayi/docs 2025-08-14T21:24:28.1381940Z * [new branch] angelayi/docs2 -> origin/angelayi/docs2 2025-08-14T21:24:28.1382276Z * [new branch] angelayi/fix_pt2 -> origin/angelayi/fix_pt2 2025-08-14T21:24:28.1382894Z * [new branch] angelayi/logging.bak -> origin/angelayi/logging.bak 2025-08-14T21:24:28.1383295Z * [new branch] angelayi/logging2 -> origin/angelayi/logging2 2025-08-14T21:24:28.1383666Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-08-14T21:24:28.1384033Z * [new branch] angelayi/pytree -> origin/angelayi/pytree 2025-08-14T21:24:28.1384405Z * [new branch] angelayi/save_error -> origin/angelayi/save_error 2025-08-14T21:24:28.1384778Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-08-14T21:24:28.1385166Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-08-14T21:24:28.1385689Z * [new branch] angelayi/tensor_nn_module_meta -> origin/angelayi/tensor_nn_module_meta 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2025-08-14T21:24:28.5153560Z * [new branch] zxiiro/get-hardware -> origin/zxiiro/get-hardware 2025-08-14T21:24:28.5153908Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-08-14T21:24:28.5154084Z * [new branch] zxiiro/test -> origin/zxiiro/test 2025-08-14T21:24:28.5154421Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-08-14T21:24:28.5154561Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-08-14T21:24:28.5154825Z * [new tag] ciflow/binaries/138996 -> ciflow/binaries/138996 2025-08-14T21:24:28.5154980Z * [new tag] ciflow/binaries/143959 -> ciflow/binaries/143959 2025-08-14T21:24:28.5155188Z * [new tag] ciflow/binaries/154595 -> ciflow/binaries/154595 2025-08-14T21:24:28.5155802Z * [new tag] ciflow/binaries/156049 -> ciflow/binaries/156049 2025-08-14T21:24:28.5156191Z * [new tag] ciflow/binaries/156712 -> ciflow/binaries/156712 2025-08-14T21:24:28.5156314Z * [new tag] ciflow/binaries/157432 -> ciflow/binaries/157432 2025-08-14T21:24:28.5156590Z * [new tag] ciflow/binaries/157685 -> ciflow/binaries/157685 2025-08-14T21:24:28.5156746Z * [new tag] ciflow/binaries/157689 -> ciflow/binaries/157689 2025-08-14T21:24:28.5156963Z * [new tag] ciflow/binaries/158104 -> ciflow/binaries/158104 2025-08-14T21:24:28.5157118Z * [new tag] ciflow/binaries/158623 -> ciflow/binaries/158623 2025-08-14T21:24:28.5158093Z * [new tag] ciflow/binaries/159827 -> ciflow/binaries/159827 2025-08-14T21:24:28.5158248Z * [new tag] ciflow/binaries/159869 -> ciflow/binaries/159869 2025-08-14T21:24:28.5158473Z * [new tag] ciflow/binaries/160593 -> ciflow/binaries/160593 2025-08-14T21:24:28.5158923Z * [new tag] ciflow/binaries_libtorch/143959 -> ciflow/binaries_libtorch/143959 2025-08-14T21:24:28.5159103Z * [new tag] ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049 2025-08-14T21:24:28.5159360Z * [new tag] ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432 2025-08-14T21:24:28.5159525Z * [new tag] ciflow/binaries_wheel/143959 -> ciflow/binaries_wheel/143959 2025-08-14T21:24:28.5159741Z * [new tag] ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049 2025-08-14T21:24:28.5159901Z * [new tag] ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432 2025-08-14T21:24:28.5165792Z * [new tag] ciflow/binaries_wheel/158733 -> ciflow/binaries_wheel/158733 2025-08-14T21:24:28.5166129Z * [new tag] ciflow/binaries_wheel/160301 -> ciflow/binaries_wheel/160301 2025-08-14T21:24:28.5166329Z * [new tag] ciflow/binaries_wheel/160496 -> ciflow/binaries_wheel/160496 2025-08-14T21:24:28.5166579Z * [new tag] ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703 2025-08-14T21:24:28.5166810Z * [new tag] ciflow/h100-symm-mem/151845 -> ciflow/h100-symm-mem/151845 2025-08-14T21:24:28.5166987Z * [new tag] ciflow/h100-symm-mem/155923 -> ciflow/h100-symm-mem/155923 2025-08-14T21:24:28.5167568Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-08-14T21:24:28.5167739Z * [new tag] ciflow/h100-symm-mem/159118 -> ciflow/h100-symm-mem/159118 2025-08-14T21:24:28.5167881Z * [new tag] ciflow/h100-symm-mem/159562 -> ciflow/h100-symm-mem/159562 2025-08-14T21:24:28.5168010Z * [new tag] ciflow/h100-symm-mem/159889 -> ciflow/h100-symm-mem/159889 2025-08-14T21:24:28.5168133Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-08-14T21:24:28.5168384Z * [new tag] ciflow/h100/160450 -> ciflow/h100/160450 2025-08-14T21:24:28.5168502Z * [new tag] ciflow/h100/160480 -> ciflow/h100/160480 2025-08-14T21:24:28.5168618Z * [new tag] ciflow/h100/160614 -> ciflow/h100/160614 2025-08-14T21:24:28.5168874Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/151845 -> ciflow/inductor-perf-test-nightly-rocm/151845 2025-08-14T21:24:28.5169117Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/160538 -> ciflow/inductor-perf-test-nightly-rocm/160538 2025-08-14T21:24:28.5169367Z * [new tag] ciflow/inductor-perf-test-nightly-x86-zen/156599 -> ciflow/inductor-perf-test-nightly-x86-zen/156599 2025-08-14T21:24:28.5169537Z * [new tag] ciflow/inductor-periodic/160406 -> ciflow/inductor-periodic/160406 2025-08-14T21:24:28.5169711Z * [new tag] ciflow/inductor-periodic/160538 -> ciflow/inductor-periodic/160538 2025-08-14T21:24:28.5169853Z * [new tag] ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845 2025-08-14T21:24:28.5169993Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-08-14T21:24:28.5172584Z * [new tag] ciflow/inductor-rocm/160073 -> ciflow/inductor-rocm/160073 2025-08-14T21:24:28.5172907Z * [new tag] ciflow/inductor-rocm/160538 -> ciflow/inductor-rocm/160538 2025-08-14T21:24:28.5173092Z * [new tag] ciflow/inductor/134881 -> ciflow/inductor/134881 2025-08-14T21:24:28.5173229Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-08-14T21:24:28.5173443Z * [new tag] ciflow/inductor/144516 -> ciflow/inductor/144516 2025-08-14T21:24:28.5173582Z * [new tag] ciflow/inductor/146506 -> ciflow/inductor/146506 2025-08-14T21:24:28.5173802Z * [new tag] ciflow/inductor/147360 -> ciflow/inductor/147360 2025-08-14T21:24:28.5174206Z * [new tag] ciflow/inductor/147990 -> ciflow/inductor/147990 2025-08-14T21:24:28.5174343Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-08-14T21:24:28.5174551Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-08-14T21:24:28.5174683Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-08-14T21:24:28.5179181Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-08-14T21:24:28.5179507Z * [new tag] ciflow/inductor/150302 -> ciflow/inductor/150302 2025-08-14T21:24:28.5179650Z * [new tag] ciflow/inductor/151845 -> ciflow/inductor/151845 2025-08-14T21:24:28.5179795Z * [new tag] ciflow/inductor/152198 -> ciflow/inductor/152198 2025-08-14T21:24:28.5180014Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-08-14T21:24:28.5180173Z * [new tag] ciflow/inductor/153966 -> ciflow/inductor/153966 2025-08-14T21:24:28.5180405Z * [new tag] ciflow/inductor/154193 -> ciflow/inductor/154193 2025-08-14T21:24:28.5181051Z * [new tag] ciflow/inductor/154650 -> ciflow/inductor/154650 2025-08-14T21:24:28.5181215Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-08-14T21:24:28.5181355Z * [new tag] ciflow/inductor/155072 -> ciflow/inductor/155072 2025-08-14T21:24:28.5181478Z * [new tag] ciflow/inductor/155152 -> ciflow/inductor/155152 2025-08-14T21:24:28.5181613Z * [new tag] ciflow/inductor/155153 -> ciflow/inductor/155153 2025-08-14T21:24:28.5183026Z * [new tag] ciflow/inductor/155154 -> ciflow/inductor/155154 2025-08-14T21:24:28.5183197Z * [new tag] ciflow/inductor/155501 -> ciflow/inductor/155501 2025-08-14T21:24:28.5183487Z * [new tag] ciflow/inductor/155502 -> ciflow/inductor/155502 2025-08-14T21:24:28.5183639Z * [new tag] ciflow/inductor/155503 -> ciflow/inductor/155503 2025-08-14T21:24:28.5183778Z * [new tag] ciflow/inductor/155504 -> ciflow/inductor/155504 2025-08-14T21:24:28.5183903Z * [new tag] ciflow/inductor/155557 -> ciflow/inductor/155557 2025-08-14T21:24:28.5184036Z * [new tag] ciflow/inductor/155608 -> ciflow/inductor/155608 2025-08-14T21:24:28.5184161Z * [new tag] ciflow/inductor/155923 -> ciflow/inductor/155923 2025-08-14T21:24:28.5184287Z * [new tag] ciflow/inductor/155928 -> ciflow/inductor/155928 2025-08-14T21:24:28.5184423Z * [new tag] ciflow/inductor/155958 -> ciflow/inductor/155958 2025-08-14T21:24:28.5184546Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-08-14T21:24:28.5184679Z * [new tag] ciflow/inductor/156851 -> ciflow/inductor/156851 2025-08-14T21:24:28.5184813Z * [new tag] ciflow/inductor/156967 -> ciflow/inductor/156967 2025-08-14T21:24:28.5184936Z * [new tag] ciflow/inductor/157148 -> ciflow/inductor/157148 2025-08-14T21:24:28.5185066Z * [new tag] ciflow/inductor/157149 -> ciflow/inductor/157149 2025-08-14T21:24:28.5185191Z * [new tag] ciflow/inductor/157152 -> ciflow/inductor/157152 2025-08-14T21:24:28.5185318Z * [new tag] ciflow/inductor/157542 -> ciflow/inductor/157542 2025-08-14T21:24:28.5185540Z * [new tag] ciflow/inductor/157572 -> ciflow/inductor/157572 2025-08-14T21:24:28.5185881Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-08-14T21:24:28.5186443Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-08-14T21:24:28.5187149Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-08-14T21:24:28.5187665Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-08-14T21:24:28.5187814Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-08-14T21:24:28.5188235Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-08-14T21:24:28.5188673Z * [new tag] ciflow/inductor/157944 -> ciflow/inductor/157944 2025-08-14T21:24:28.5189114Z * [new tag] ciflow/inductor/157971 -> ciflow/inductor/157971 2025-08-14T21:24:28.5190172Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-08-14T21:24:28.5190335Z * [new tag] ciflow/inductor/158061 -> ciflow/inductor/158061 2025-08-14T21:24:28.5190734Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-08-14T21:24:28.5191065Z * [new tag] ciflow/inductor/158097 -> ciflow/inductor/158097 2025-08-14T21:24:28.5191464Z * [new tag] ciflow/inductor/158098 -> ciflow/inductor/158098 2025-08-14T21:24:28.5191969Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-08-14T21:24:28.5192366Z * [new tag] ciflow/inductor/158168 -> ciflow/inductor/158168 2025-08-14T21:24:28.5193200Z * [new tag] ciflow/inductor/158250 -> ciflow/inductor/158250 2025-08-14T21:24:28.5193785Z * [new tag] ciflow/inductor/158321 -> ciflow/inductor/158321 2025-08-14T21:24:28.5194098Z * [new tag] ciflow/inductor/158609 -> ciflow/inductor/158609 2025-08-14T21:24:28.5194265Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-08-14T21:24:28.5195668Z * [new tag] ciflow/inductor/158914 -> ciflow/inductor/158914 2025-08-14T21:24:28.5195978Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-08-14T21:24:28.5196142Z * [new tag] ciflow/inductor/158987 -> ciflow/inductor/158987 2025-08-14T21:24:28.5196316Z * [new tag] ciflow/inductor/159009 -> ciflow/inductor/159009 2025-08-14T21:24:28.5198702Z * [new tag] ciflow/inductor/159010 -> ciflow/inductor/159010 2025-08-14T21:24:28.5199063Z * [new tag] ciflow/inductor/159093 -> ciflow/inductor/159093 2025-08-14T21:24:28.5199193Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-08-14T21:24:28.5199311Z * [new tag] ciflow/inductor/159197 -> ciflow/inductor/159197 2025-08-14T21:24:28.5199437Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-08-14T21:24:28.5199564Z * [new tag] ciflow/inductor/159281 -> ciflow/inductor/159281 2025-08-14T21:24:28.5199700Z * [new tag] ciflow/inductor/159329 -> ciflow/inductor/159329 2025-08-14T21:24:28.5200117Z * [new tag] ciflow/inductor/159361 -> ciflow/inductor/159361 2025-08-14T21:24:28.5204262Z * [new tag] ciflow/inductor/159365 -> ciflow/inductor/159365 2025-08-14T21:24:28.5204565Z * [new tag] ciflow/inductor/159366 -> ciflow/inductor/159366 2025-08-14T21:24:28.5204707Z * [new tag] ciflow/inductor/159367 -> ciflow/inductor/159367 2025-08-14T21:24:28.5204831Z * [new tag] ciflow/inductor/159368 -> ciflow/inductor/159368 2025-08-14T21:24:28.5205061Z * [new tag] ciflow/inductor/159473 -> ciflow/inductor/159473 2025-08-14T21:24:28.5205179Z * [new tag] ciflow/inductor/159483 -> ciflow/inductor/159483 2025-08-14T21:24:28.5205379Z * [new tag] ciflow/inductor/159508 -> ciflow/inductor/159508 2025-08-14T21:24:28.5205502Z * [new tag] ciflow/inductor/159523 -> ciflow/inductor/159523 2025-08-14T21:24:28.5205716Z * [new tag] ciflow/inductor/159678 -> ciflow/inductor/159678 2025-08-14T21:24:28.5205997Z * [new tag] ciflow/inductor/159691 -> ciflow/inductor/159691 2025-08-14T21:24:28.5206164Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-08-14T21:24:28.5206272Z * [new tag] ciflow/inductor/159786 -> ciflow/inductor/159786 2025-08-14T21:24:28.5206398Z * [new tag] ciflow/inductor/159817 -> ciflow/inductor/159817 2025-08-14T21:24:28.5206579Z * [new tag] ciflow/inductor/159842 -> ciflow/inductor/159842 2025-08-14T21:24:28.5206997Z * [new tag] ciflow/inductor/159864 -> ciflow/inductor/159864 2025-08-14T21:24:28.5208113Z * [new tag] ciflow/inductor/159865 -> ciflow/inductor/159865 2025-08-14T21:24:28.5208263Z * [new tag] ciflow/inductor/159869 -> ciflow/inductor/159869 2025-08-14T21:24:28.5211689Z * [new tag] ciflow/inductor/159875 -> ciflow/inductor/159875 2025-08-14T21:24:28.5212008Z * [new tag] ciflow/inductor/159889 -> ciflow/inductor/159889 2025-08-14T21:24:28.5212143Z * [new tag] ciflow/inductor/159902 -> ciflow/inductor/159902 2025-08-14T21:24:28.5212344Z * [new tag] ciflow/inductor/159923 -> ciflow/inductor/159923 2025-08-14T21:24:28.5212488Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-08-14T21:24:28.5212609Z * [new tag] ciflow/inductor/160004 -> ciflow/inductor/160004 2025-08-14T21:24:28.5212927Z * [new tag] ciflow/inductor/160080 -> ciflow/inductor/160080 2025-08-14T21:24:28.5213047Z * [new tag] ciflow/inductor/160108 -> ciflow/inductor/160108 2025-08-14T21:24:28.5213162Z * [new tag] ciflow/inductor/160109 -> ciflow/inductor/160109 2025-08-14T21:24:28.5213430Z * [new tag] ciflow/inductor/160111 -> ciflow/inductor/160111 2025-08-14T21:24:28.5213565Z * [new tag] ciflow/inductor/160113 -> ciflow/inductor/160113 2025-08-14T21:24:28.5213691Z * [new tag] ciflow/inductor/160127 -> ciflow/inductor/160127 2025-08-14T21:24:28.5214207Z * [new tag] ciflow/inductor/160131 -> ciflow/inductor/160131 2025-08-14T21:24:28.5214577Z * [new tag] ciflow/inductor/160132 -> ciflow/inductor/160132 2025-08-14T21:24:28.5215016Z * [new tag] ciflow/inductor/160136 -> ciflow/inductor/160136 2025-08-14T21:24:28.5218981Z * [new tag] ciflow/inductor/160138 -> ciflow/inductor/160138 2025-08-14T21:24:28.5219296Z * [new tag] ciflow/inductor/160151 -> ciflow/inductor/160151 2025-08-14T21:24:28.5219481Z * [new tag] ciflow/inductor/160152 -> ciflow/inductor/160152 2025-08-14T21:24:28.5219644Z * [new tag] ciflow/inductor/160154 -> ciflow/inductor/160154 2025-08-14T21:24:28.5219775Z * [new tag] ciflow/inductor/160156 -> ciflow/inductor/160156 2025-08-14T21:24:28.5220022Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-08-14T21:24:28.5220175Z * [new tag] ciflow/inductor/160166 -> ciflow/inductor/160166 2025-08-14T21:24:28.5220389Z * [new tag] ciflow/inductor/160168 -> ciflow/inductor/160168 2025-08-14T21:24:28.5221083Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-08-14T21:24:28.5221414Z * [new tag] ciflow/inductor/160181 -> ciflow/inductor/160181 2025-08-14T21:24:28.5221618Z * [new tag] ciflow/inductor/160183 -> ciflow/inductor/160183 2025-08-14T21:24:28.5221770Z * [new tag] ciflow/inductor/160190 -> ciflow/inductor/160190 2025-08-14T21:24:28.5221931Z * [new tag] ciflow/inductor/160198 -> ciflow/inductor/160198 2025-08-14T21:24:28.5222335Z * [new tag] ciflow/inductor/160201 -> ciflow/inductor/160201 2025-08-14T21:24:28.5223002Z * [new tag] ciflow/inductor/160209 -> ciflow/inductor/160209 2025-08-14T21:24:28.5223191Z * [new tag] ciflow/inductor/160218 -> ciflow/inductor/160218 2025-08-14T21:24:28.5223613Z * [new tag] ciflow/inductor/160239 -> ciflow/inductor/160239 2025-08-14T21:24:28.5224072Z * [new tag] ciflow/inductor/160250 -> ciflow/inductor/160250 2025-08-14T21:24:28.5226451Z * [new tag] ciflow/inductor/160253 -> ciflow/inductor/160253 2025-08-14T21:24:28.5226893Z * [new tag] ciflow/inductor/160266 -> ciflow/inductor/160266 2025-08-14T21:24:28.5227143Z * [new tag] ciflow/inductor/160282 -> ciflow/inductor/160282 2025-08-14T21:24:28.5227308Z * [new tag] ciflow/inductor/160298 -> ciflow/inductor/160298 2025-08-14T21:24:28.5227514Z * [new tag] ciflow/inductor/160301 -> ciflow/inductor/160301 2025-08-14T21:24:28.5227648Z * [new tag] ciflow/inductor/160310 -> ciflow/inductor/160310 2025-08-14T21:24:28.5227985Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-08-14T21:24:28.5230349Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-08-14T21:24:28.5230667Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-08-14T21:24:28.5230847Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-08-14T21:24:28.5231011Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-08-14T21:24:28.5231156Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-08-14T21:24:28.5231670Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-08-14T21:24:28.5232025Z * [new tag] ciflow/inductor/160351 -> ciflow/inductor/160351 2025-08-14T21:24:28.5232540Z * [new tag] ciflow/inductor/160353 -> ciflow/inductor/160353 2025-08-14T21:24:28.5239958Z * [new tag] ciflow/inductor/160362 -> ciflow/inductor/160362 2025-08-14T21:24:28.5240265Z * [new tag] ciflow/inductor/160363 -> ciflow/inductor/160363 2025-08-14T21:24:28.5240419Z * [new tag] ciflow/inductor/160364 -> ciflow/inductor/160364 2025-08-14T21:24:28.5240548Z * [new tag] ciflow/inductor/160365 -> ciflow/inductor/160365 2025-08-14T21:24:28.5240690Z * [new tag] ciflow/inductor/160366 -> ciflow/inductor/160366 2025-08-14T21:24:28.5240954Z * [new tag] ciflow/inductor/160367 -> ciflow/inductor/160367 2025-08-14T21:24:28.5241116Z * [new tag] ciflow/inductor/160368 -> ciflow/inductor/160368 2025-08-14T21:24:28.5241349Z * [new tag] ciflow/inductor/160369 -> ciflow/inductor/160369 2025-08-14T21:24:28.5241976Z * [new tag] ciflow/inductor/160371 -> ciflow/inductor/160371 2025-08-14T21:24:28.5242148Z * [new tag] ciflow/inductor/160374 -> ciflow/inductor/160374 2025-08-14T21:24:28.5242285Z * [new tag] ciflow/inductor/160375 -> ciflow/inductor/160375 2025-08-14T21:24:28.5242414Z * [new tag] ciflow/inductor/160377 -> ciflow/inductor/160377 2025-08-14T21:24:28.5242541Z * [new tag] ciflow/inductor/160380 -> ciflow/inductor/160380 2025-08-14T21:24:28.5242680Z * [new tag] ciflow/inductor/160381 -> ciflow/inductor/160381 2025-08-14T21:24:28.5242806Z * [new tag] ciflow/inductor/160383 -> ciflow/inductor/160383 2025-08-14T21:24:28.5242938Z * [new tag] ciflow/inductor/160394 -> ciflow/inductor/160394 2025-08-14T21:24:28.5243085Z * [new tag] ciflow/inductor/160401 -> ciflow/inductor/160401 2025-08-14T21:24:28.5243416Z * [new tag] ciflow/inductor/160402 -> ciflow/inductor/160402 2025-08-14T21:24:28.5243544Z * [new tag] ciflow/inductor/160403 -> ciflow/inductor/160403 2025-08-14T21:24:28.5243661Z * [new tag] ciflow/inductor/160424 -> ciflow/inductor/160424 2025-08-14T21:24:28.5243789Z * [new tag] ciflow/inductor/160426 -> ciflow/inductor/160426 2025-08-14T21:24:28.5243914Z * [new tag] ciflow/inductor/160431 -> ciflow/inductor/160431 2025-08-14T21:24:28.5244033Z * [new tag] ciflow/inductor/160448 -> ciflow/inductor/160448 2025-08-14T21:24:28.5244156Z * [new tag] ciflow/inductor/160450 -> ciflow/inductor/160450 2025-08-14T21:24:28.5244433Z * [new tag] ciflow/inductor/160455 -> ciflow/inductor/160455 2025-08-14T21:24:28.5244826Z * [new tag] ciflow/inductor/160456 -> ciflow/inductor/160456 2025-08-14T21:24:28.5247410Z * [new tag] ciflow/inductor/160461 -> ciflow/inductor/160461 2025-08-14T21:24:28.5247714Z * [new tag] ciflow/inductor/160462 -> ciflow/inductor/160462 2025-08-14T21:24:28.5247889Z * [new tag] ciflow/inductor/160467 -> ciflow/inductor/160467 2025-08-14T21:24:28.5248031Z * [new tag] ciflow/inductor/160470 -> ciflow/inductor/160470 2025-08-14T21:24:28.5248235Z * [new tag] ciflow/inductor/160473 -> ciflow/inductor/160473 2025-08-14T21:24:28.5248380Z * [new tag] ciflow/inductor/160476 -> ciflow/inductor/160476 2025-08-14T21:24:28.5248501Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-08-14T21:24:28.5248751Z * [new tag] ciflow/inductor/160481 -> ciflow/inductor/160481 2025-08-14T21:24:28.5249431Z * [new tag] ciflow/inductor/160482 -> ciflow/inductor/160482 2025-08-14T21:24:28.5249652Z * [new tag] ciflow/inductor/160483 -> ciflow/inductor/160483 2025-08-14T21:24:28.5250233Z * [new tag] ciflow/inductor/160485 -> ciflow/inductor/160485 2025-08-14T21:24:28.5250575Z * [new tag] ciflow/inductor/160486 -> ciflow/inductor/160486 2025-08-14T21:24:28.5253568Z * [new tag] ciflow/inductor/160503 -> ciflow/inductor/160503 2025-08-14T21:24:28.5253891Z * [new tag] ciflow/inductor/160510 -> ciflow/inductor/160510 2025-08-14T21:24:28.5254064Z * [new tag] ciflow/inductor/160527 -> ciflow/inductor/160527 2025-08-14T21:24:28.5254218Z * [new tag] ciflow/inductor/160530 -> ciflow/inductor/160530 2025-08-14T21:24:28.5254356Z * [new tag] ciflow/inductor/160531 -> ciflow/inductor/160531 2025-08-14T21:24:28.5254504Z * [new tag] ciflow/inductor/160538 -> ciflow/inductor/160538 2025-08-14T21:24:28.5254664Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-08-14T21:24:28.5256086Z * [new tag] ciflow/inductor/160540 -> ciflow/inductor/160540 2025-08-14T21:24:28.5256304Z * [new tag] ciflow/inductor/160548 -> ciflow/inductor/160548 2025-08-14T21:24:28.5256439Z * [new tag] ciflow/inductor/160561 -> ciflow/inductor/160561 2025-08-14T21:24:28.5258653Z * [new tag] ciflow/inductor/160576 -> ciflow/inductor/160576 2025-08-14T21:24:28.5258974Z * [new tag] ciflow/inductor/160578 -> ciflow/inductor/160578 2025-08-14T21:24:28.5259131Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-08-14T21:24:28.5259259Z * [new tag] ciflow/inductor/160583 -> ciflow/inductor/160583 2025-08-14T21:24:28.5259408Z * [new tag] ciflow/inductor/160589 -> ciflow/inductor/160589 2025-08-14T21:24:28.5259837Z * [new tag] ciflow/inductor/160590 -> ciflow/inductor/160590 2025-08-14T21:24:28.5259994Z * [new tag] ciflow/inductor/160592 -> ciflow/inductor/160592 2025-08-14T21:24:28.5260932Z * [new tag] ciflow/inductor/160596 -> ciflow/inductor/160596 2025-08-14T21:24:28.5261582Z * [new tag] ciflow/inductor/160601 -> ciflow/inductor/160601 2025-08-14T21:24:28.5261779Z * [new tag] ciflow/inductor/160607 -> ciflow/inductor/160607 2025-08-14T21:24:28.5262310Z * [new tag] ciflow/inductor/160608 -> ciflow/inductor/160608 2025-08-14T21:24:28.5262697Z * [new tag] ciflow/inductor/160611 -> ciflow/inductor/160611 2025-08-14T21:24:28.5263243Z * [new tag] ciflow/inductor/160614 -> ciflow/inductor/160614 2025-08-14T21:24:28.5263722Z * [new tag] ciflow/inductor/160616 -> ciflow/inductor/160616 2025-08-14T21:24:28.5264190Z * [new tag] ciflow/inductor/160619 -> ciflow/inductor/160619 2025-08-14T21:24:28.5264687Z * [new tag] ciflow/inductor/160625 -> ciflow/inductor/160625 2025-08-14T21:24:28.5265178Z * [new tag] ciflow/inductor/160635 -> ciflow/inductor/160635 2025-08-14T21:24:28.5267520Z * [new tag] ciflow/inductor/160649 -> ciflow/inductor/160649 2025-08-14T21:24:28.5267863Z * [new tag] ciflow/inductor/160658 -> ciflow/inductor/160658 2025-08-14T21:24:28.5268138Z * [new tag] ciflow/inductor/160662 -> ciflow/inductor/160662 2025-08-14T21:24:28.5268302Z * [new tag] ciflow/inductor/160668 -> ciflow/inductor/160668 2025-08-14T21:24:28.5268563Z * [new tag] ciflow/inductor/160669 -> ciflow/inductor/160669 2025-08-14T21:24:28.5268732Z * [new tag] ciflow/inductor/160670 -> ciflow/inductor/160670 2025-08-14T21:24:28.5269051Z * [new tag] ciflow/inductor/160671 -> ciflow/inductor/160671 2025-08-14T21:24:28.5269554Z * [new tag] ciflow/inductor/160677 -> ciflow/inductor/160677 2025-08-14T21:24:28.5270241Z * [new tag] ciflow/inductor/160679 -> ciflow/inductor/160679 2025-08-14T21:24:28.5270762Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-08-14T21:24:28.5273871Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-08-14T21:24:28.5274201Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-08-14T21:24:28.5274643Z * [new tag] ciflow/linux-aarch64/147855 -> ciflow/linux-aarch64/147855 2025-08-14T21:24:28.5278202Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-08-14T21:24:28.5278537Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-08-14T21:24:28.5278737Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-08-14T21:24:28.5278884Z * [new tag] ciflow/linux-aarch64/160299 -> ciflow/linux-aarch64/160299 2025-08-14T21:24:28.5279034Z * [new tag] ciflow/linux-aarch64/160301 -> ciflow/linux-aarch64/160301 2025-08-14T21:24:28.5279162Z * [new tag] ciflow/mps/155923 -> ciflow/mps/155923 2025-08-14T21:24:28.5279425Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-08-14T21:24:28.5284026Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-08-14T21:24:28.5284346Z * [new tag] ciflow/mps/160541 -> ciflow/mps/160541 2025-08-14T21:24:28.5284519Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-08-14T21:24:28.5284656Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-08-14T21:24:28.5284828Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-08-14T21:24:28.5285181Z * [new tag] ciflow/periodic-rocm-mi300/139971 -> ciflow/periodic-rocm-mi300/139971 2025-08-14T21:24:28.5285503Z * [new tag] ciflow/periodic-rocm-mi300/160073 -> ciflow/periodic-rocm-mi300/160073 2025-08-14T21:24:28.5286160Z * [new tag] ciflow/periodic-rocm-mi300/160538 -> ciflow/periodic-rocm-mi300/160538 2025-08-14T21:24:28.5286340Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-08-14T21:24:28.5286494Z * [new tag] ciflow/periodic/131296 -> ciflow/periodic/131296 2025-08-14T21:24:28.5286633Z * [new tag] ciflow/periodic/139971 -> ciflow/periodic/139971 2025-08-14T21:24:28.5286778Z * [new tag] ciflow/periodic/143959 -> ciflow/periodic/143959 2025-08-14T21:24:28.5286934Z * [new tag] ciflow/periodic/154595 -> ciflow/periodic/154595 2025-08-14T21:24:28.5287086Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-08-14T21:24:28.5287228Z * [new tag] ciflow/periodic/160201 -> ciflow/periodic/160201 2025-08-14T21:24:28.5287366Z * [new tag] ciflow/periodic/160424 -> ciflow/periodic/160424 2025-08-14T21:24:28.5287497Z * [new tag] ciflow/periodic/160538 -> ciflow/periodic/160538 2025-08-14T21:24:28.5287825Z * [new tag] ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65 2025-08-14T21:24:28.5287960Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-08-14T21:24:28.5288268Z * [new tag] ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b -> ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b 2025-08-14T21:24:28.5288534Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-08-14T21:24:28.5288668Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-08-14T21:24:28.5290268Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-08-14T21:24:28.5290600Z * [new tag] ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee 2025-08-14T21:24:28.5290939Z * [new tag] ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93 -> ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93 2025-08-14T21:24:28.5291225Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-08-14T21:24:28.5291397Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-08-14T21:24:28.5291557Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-08-14T21:24:28.5291710Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-08-14T21:24:28.5292029Z * [new tag] ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51 -> ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51 2025-08-14T21:24:28.5292178Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-08-14T21:24:28.5292813Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-08-14T21:24:28.5294081Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-08-14T21:24:28.5294529Z * [new tag] ciflow/rocm-mi300/151360 -> ciflow/rocm-mi300/151360 2025-08-14T21:24:28.5294686Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-08-14T21:24:28.5294820Z * [new tag] ciflow/rocm-mi300/160073 -> ciflow/rocm-mi300/160073 2025-08-14T21:24:28.5295182Z * [new tag] ciflow/rocm-mi300/160468 -> ciflow/rocm-mi300/160468 2025-08-14T21:24:28.5295583Z * [new tag] ciflow/rocm-mi300/160538 -> ciflow/rocm-mi300/160538 2025-08-14T21:24:28.5296546Z * [new tag] ciflow/rocm-mi355/160215 -> ciflow/rocm-mi355/160215 2025-08-14T21:24:28.5297411Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-08-14T21:24:28.5297707Z * [new tag] ciflow/rocm/151360 -> ciflow/rocm/151360 2025-08-14T21:24:28.5297850Z * [new tag] ciflow/rocm/151845 -> ciflow/rocm/151845 2025-08-14T21:24:28.5299059Z * [new tag] ciflow/rocm/154864 -> ciflow/rocm/154864 2025-08-14T21:24:28.5299203Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-08-14T21:24:28.5299322Z * [new tag] ciflow/rocm/158219 -> ciflow/rocm/158219 2025-08-14T21:24:28.5300744Z * [new tag] ciflow/rocm/158220 -> ciflow/rocm/158220 2025-08-14T21:24:28.5301030Z * [new tag] ciflow/rocm/158224 -> ciflow/rocm/158224 2025-08-14T21:24:28.5301158Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-08-14T21:24:28.5301277Z * [new tag] ciflow/rocm/160215 -> ciflow/rocm/160215 2025-08-14T21:24:28.5301395Z * [new tag] ciflow/rocm/160468 -> ciflow/rocm/160468 2025-08-14T21:24:28.5302345Z * [new tag] ciflow/rocm/160538 -> ciflow/rocm/160538 2025-08-14T21:24:28.5302567Z * [new tag] ciflow/s390/143959 -> ciflow/s390/143959 2025-08-14T21:24:28.5305687Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-08-14T21:24:28.5305877Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-08-14T21:24:28.5306237Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-08-14T21:24:28.5306563Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-08-14T21:24:28.5306732Z * [new tag] ciflow/slow/154595 -> ciflow/slow/154595 2025-08-14T21:24:28.5307224Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-08-14T21:24:28.5307349Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-08-14T21:24:28.5309139Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-08-14T21:24:28.5309405Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-08-14T21:24:28.5309622Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-08-14T21:24:28.5309836Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-08-14T21:24:28.5315514Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-08-14T21:24:28.5320574Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-08-14T21:24:28.5321410Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-08-14T21:24:28.5321576Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-08-14T21:24:28.5321708Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-08-14T21:24:28.5321826Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-08-14T21:24:28.5321943Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-08-14T21:24:28.5322067Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-08-14T21:24:28.5322420Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-08-14T21:24:28.5322561Z * [new tag] ciflow/trunk/131296 -> ciflow/trunk/131296 2025-08-14T21:24:28.5322824Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-08-14T21:24:28.5322942Z * [new tag] ciflow/trunk/138996 -> ciflow/trunk/138996 2025-08-14T21:24:28.5323068Z * [new tag] ciflow/trunk/139971 -> ciflow/trunk/139971 2025-08-14T21:24:28.5323184Z * [new tag] ciflow/trunk/147360 -> ciflow/trunk/147360 2025-08-14T21:24:28.5323311Z * [new tag] ciflow/trunk/147855 -> ciflow/trunk/147855 2025-08-14T21:24:28.5323428Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-08-14T21:24:28.5323544Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-08-14T21:24:28.5323669Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-08-14T21:24:28.5323786Z * [new tag] ciflow/trunk/150282 -> ciflow/trunk/150282 2025-08-14T21:24:28.5323906Z * [new tag] ciflow/trunk/150302 -> ciflow/trunk/150302 2025-08-14T21:24:28.5324033Z * [new tag] ciflow/trunk/151845 -> ciflow/trunk/151845 2025-08-14T21:24:28.5324150Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-08-14T21:24:28.5324271Z * [new tag] ciflow/trunk/154193 -> ciflow/trunk/154193 2025-08-14T21:24:28.5324388Z * [new tag] ciflow/trunk/154595 -> ciflow/trunk/154595 2025-08-14T21:24:28.5329679Z * [new tag] ciflow/trunk/154650 -> ciflow/trunk/154650 2025-08-14T21:24:28.5329856Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-08-14T21:24:28.5329977Z * [new tag] ciflow/trunk/155958 -> ciflow/trunk/155958 2025-08-14T21:24:28.5330184Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-08-14T21:24:28.5335921Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-08-14T21:24:28.5338041Z * [new tag] ciflow/trunk/156851 -> ciflow/trunk/156851 2025-08-14T21:24:28.5341675Z * [new tag] ciflow/trunk/157148 -> ciflow/trunk/157148 2025-08-14T21:24:28.5341835Z * [new tag] ciflow/trunk/157152 -> ciflow/trunk/157152 2025-08-14T21:24:28.5341961Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-08-14T21:24:28.5342077Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-08-14T21:24:28.5342199Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-08-14T21:24:28.5342314Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-08-14T21:24:28.5342426Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-08-14T21:24:28.5342563Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-08-14T21:24:28.5342681Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-08-14T21:24:28.5342793Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-08-14T21:24:28.5342913Z * [new tag] ciflow/trunk/158219 -> ciflow/trunk/158219 2025-08-14T21:24:28.5343023Z * [new tag] ciflow/trunk/158220 -> ciflow/trunk/158220 2025-08-14T21:24:28.5343143Z * [new tag] ciflow/trunk/158224 -> ciflow/trunk/158224 2025-08-14T21:24:28.5343255Z * [new tag] ciflow/trunk/158529 -> ciflow/trunk/158529 2025-08-14T21:24:28.5343368Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-08-14T21:24:28.5343487Z * [new tag] ciflow/trunk/158810 -> ciflow/trunk/158810 2025-08-14T21:24:28.5343599Z * [new tag] ciflow/trunk/158812 -> ciflow/trunk/158812 2025-08-14T21:24:28.5343722Z * [new tag] ciflow/trunk/158863 -> ciflow/trunk/158863 2025-08-14T21:24:28.5344038Z * [new tag] ciflow/trunk/158864 -> ciflow/trunk/158864 2025-08-14T21:24:28.5344154Z * [new tag] ciflow/trunk/158883 -> ciflow/trunk/158883 2025-08-14T21:24:28.5344306Z * [new tag] ciflow/trunk/158914 -> ciflow/trunk/158914 2025-08-14T21:24:28.5344423Z * [new tag] ciflow/trunk/158965 -> ciflow/trunk/158965 2025-08-14T21:24:28.5344538Z * [new tag] ciflow/trunk/158987 -> ciflow/trunk/158987 2025-08-14T21:24:28.5344662Z * [new tag] ciflow/trunk/159033 -> ciflow/trunk/159033 2025-08-14T21:24:28.5344777Z * [new tag] ciflow/trunk/159140 -> ciflow/trunk/159140 2025-08-14T21:24:28.5344912Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-08-14T21:24:28.5345029Z * [new tag] ciflow/trunk/159553 -> ciflow/trunk/159553 2025-08-14T21:24:28.5345147Z * [new tag] ciflow/trunk/159562 -> ciflow/trunk/159562 2025-08-14T21:24:28.5345269Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-08-14T21:24:28.5345577Z * [new tag] ciflow/trunk/159691 -> ciflow/trunk/159691 2025-08-14T21:24:28.5345785Z * [new tag] ciflow/trunk/159842 -> ciflow/trunk/159842 2025-08-14T21:24:28.5346154Z * [new tag] ciflow/trunk/159889 -> ciflow/trunk/159889 2025-08-14T21:24:28.5346273Z * [new tag] ciflow/trunk/159923 -> ciflow/trunk/159923 2025-08-14T21:24:28.5350417Z * [new tag] ciflow/trunk/160004 -> ciflow/trunk/160004 2025-08-14T21:24:28.5350673Z * [new tag] ciflow/trunk/160113 -> ciflow/trunk/160113 2025-08-14T21:24:28.5355107Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-08-14T21:24:28.5357502Z * [new tag] ciflow/trunk/160168 -> ciflow/trunk/160168 2025-08-14T21:24:28.5357781Z * [new tag] ciflow/trunk/160181 -> ciflow/trunk/160181 2025-08-14T21:24:28.5362645Z * [new tag] ciflow/trunk/160183 -> ciflow/trunk/160183 2025-08-14T21:24:28.5368375Z * [new tag] ciflow/trunk/160190 -> ciflow/trunk/160190 2025-08-14T21:24:28.5372719Z * [new tag] ciflow/trunk/160198 -> ciflow/trunk/160198 2025-08-14T21:24:28.5378011Z * [new tag] ciflow/trunk/160205 -> ciflow/trunk/160205 2025-08-14T21:24:28.5378190Z * [new tag] ciflow/trunk/160219 -> ciflow/trunk/160219 2025-08-14T21:24:28.5378309Z * [new tag] ciflow/trunk/160224 -> ciflow/trunk/160224 2025-08-14T21:24:28.5378433Z * [new tag] ciflow/trunk/160250 -> ciflow/trunk/160250 2025-08-14T21:24:28.5378561Z * [new tag] ciflow/trunk/160253 -> ciflow/trunk/160253 2025-08-14T21:24:28.5378690Z * [new tag] ciflow/trunk/160335 -> ciflow/trunk/160335 2025-08-14T21:24:28.5378803Z * [new tag] ciflow/trunk/160338 -> ciflow/trunk/160338 2025-08-14T21:24:28.5378916Z * [new tag] ciflow/trunk/160383 -> ciflow/trunk/160383 2025-08-14T21:24:28.5379038Z * [new tag] ciflow/trunk/160401 -> ciflow/trunk/160401 2025-08-14T21:24:28.5379151Z * [new tag] ciflow/trunk/160403 -> ciflow/trunk/160403 2025-08-14T21:24:28.5379264Z * [new tag] ciflow/trunk/160430 -> ciflow/trunk/160430 2025-08-14T21:24:28.5379387Z * [new tag] ciflow/trunk/160431 -> ciflow/trunk/160431 2025-08-14T21:24:28.5379501Z * [new tag] ciflow/trunk/160439 -> ciflow/trunk/160439 2025-08-14T21:24:28.5379626Z * [new tag] ciflow/trunk/160449 -> ciflow/trunk/160449 2025-08-14T21:24:28.5379921Z * [new tag] ciflow/trunk/160454 -> ciflow/trunk/160454 2025-08-14T21:24:28.5380038Z * [new tag] ciflow/trunk/160468 -> ciflow/trunk/160468 2025-08-14T21:24:28.5380162Z * [new tag] ciflow/trunk/160481 -> ciflow/trunk/160481 2025-08-14T21:24:28.5380277Z * [new tag] ciflow/trunk/160485 -> ciflow/trunk/160485 2025-08-14T21:24:28.5380398Z * [new tag] ciflow/trunk/160519 -> ciflow/trunk/160519 2025-08-14T21:24:28.5380512Z * [new tag] ciflow/trunk/160527 -> ciflow/trunk/160527 2025-08-14T21:24:28.5380626Z * [new tag] ciflow/trunk/160560 -> ciflow/trunk/160560 2025-08-14T21:24:28.5380752Z * [new tag] ciflow/trunk/160578 -> ciflow/trunk/160578 2025-08-14T21:24:28.5380865Z * [new tag] ciflow/trunk/160589 -> ciflow/trunk/160589 2025-08-14T21:24:28.5380982Z * [new tag] ciflow/trunk/160592 -> ciflow/trunk/160592 2025-08-14T21:24:28.5381108Z * [new tag] ciflow/trunk/160649 -> ciflow/trunk/160649 2025-08-14T21:24:28.5381222Z * [new tag] ciflow/trunk/160656 -> ciflow/trunk/160656 2025-08-14T21:24:28.5381349Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-08-14T21:24:28.5381471Z * [new tag] ciflow/vllm/160116 -> ciflow/vllm/160116 2025-08-14T21:24:28.5381587Z * [new tag] ciflow/vllm/160583 -> ciflow/vllm/160583 2025-08-14T21:24:28.5381706Z * [new tag] ciflow/vllm/160619 -> ciflow/vllm/160619 2025-08-14T21:24:28.5381819Z * [new tag] ciflow/vllm/160625 -> ciflow/vllm/160625 2025-08-14T21:24:28.5381938Z * [new tag] ciflow/vllm/160627 -> ciflow/vllm/160627 2025-08-14T21:24:28.5382121Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-08-14T21:24:28.5382259Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-08-14T21:24:28.5382392Z * [new tag] ciflow/win-arm64/159553 -> ciflow/win-arm64/159553 2025-08-14T21:24:28.5382517Z * [new tag] ciflow/win-arm64/159562 -> ciflow/win-arm64/159562 2025-08-14T21:24:28.5382647Z * [new tag] ciflow/win-arm64/159777 -> ciflow/win-arm64/159777 2025-08-14T21:24:28.5382770Z * [new tag] ciflow/win-arm64/159780 -> ciflow/win-arm64/159780 2025-08-14T21:24:28.5382892Z * [new tag] ciflow/win-arm64/159842 -> ciflow/win-arm64/159842 2025-08-14T21:24:28.5383019Z * [new tag] ciflow/win-arm64/160250 -> ciflow/win-arm64/160250 2025-08-14T21:24:28.5383141Z * [new tag] ciflow/win-arm64/160253 -> ciflow/win-arm64/160253 2025-08-14T21:24:28.5383264Z * [new tag] ciflow/win-arm64/160454 -> ciflow/win-arm64/160454 2025-08-14T21:24:28.5383397Z * [new tag] ciflow/win-arm64/160560 -> ciflow/win-arm64/160560 2025-08-14T21:24:28.5383519Z * [new tag] ciflow/xpu/138996 -> ciflow/xpu/138996 2025-08-14T21:24:28.5383643Z * [new tag] ciflow/xpu/139971 -> ciflow/xpu/139971 2025-08-14T21:24:28.5383757Z * [new tag] ciflow/xpu/140972 -> ciflow/xpu/140972 2025-08-14T21:24:28.5383869Z * [new tag] ciflow/xpu/143553 -> ciflow/xpu/143553 2025-08-14T21:24:28.5383991Z * [new tag] ciflow/xpu/156272 -> ciflow/xpu/156272 2025-08-14T21:24:28.5384116Z * [new tag] ciflow/xpu/156812 -> ciflow/xpu/156812 2025-08-14T21:24:28.5384235Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-08-14T21:24:28.5384347Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-08-14T21:24:28.5384461Z * [new tag] ciflow/xpu/158336 -> ciflow/xpu/158336 2025-08-14T21:24:28.5384627Z * [new tag] ciflow/xpu/158733 -> ciflow/xpu/158733 2025-08-14T21:24:28.5384737Z * [new tag] ciflow/xpu/159033 -> ciflow/xpu/159033 2025-08-14T21:24:28.5384853Z * [new tag] ciflow/xpu/159118 -> ciflow/xpu/159118 2025-08-14T21:24:28.5384966Z * [new tag] ciflow/xpu/159140 -> ciflow/xpu/159140 2025-08-14T21:24:28.5385075Z * [new tag] ciflow/xpu/159241 -> ciflow/xpu/159241 2025-08-14T21:24:28.5385191Z * [new tag] ciflow/xpu/159473 -> ciflow/xpu/159473 2025-08-14T21:24:28.5385300Z * [new tag] ciflow/xpu/159474 -> ciflow/xpu/159474 2025-08-14T21:24:28.5385760Z * [new tag] ciflow/xpu/159553 -> ciflow/xpu/159553 2025-08-14T21:24:28.5385896Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-08-14T21:24:28.5386010Z * [new tag] ciflow/xpu/160062 -> ciflow/xpu/160062 2025-08-14T21:24:28.5386128Z * [new tag] ciflow/xpu/160067 -> ciflow/xpu/160067 2025-08-14T21:24:28.5386238Z * [new tag] ciflow/xpu/160158 -> ciflow/xpu/160158 2025-08-14T21:24:28.5386348Z * [new tag] ciflow/xpu/160173 -> ciflow/xpu/160173 2025-08-14T21:24:28.5386467Z * [new tag] ciflow/xpu/160183 -> ciflow/xpu/160183 2025-08-14T21:24:28.5386577Z * [new tag] ciflow/xpu/160301 -> ciflow/xpu/160301 2025-08-14T21:24:28.5386705Z * [new tag] ciflow/xpu/160403 -> ciflow/xpu/160403 2025-08-14T21:24:28.5386812Z * [new tag] ciflow/xpu/160606 -> ciflow/xpu/160606 2025-08-14T21:24:28.5386923Z * [new tag] cslpull75 -> cslpull75 2025-08-14T21:24:28.5387080Z * [new tag] cslpull76 -> cslpull76 2025-08-14T21:24:28.5387184Z * [new tag] cslpull77 -> cslpull77 2025-08-14T21:24:28.5387281Z * [new tag] cslpull78 -> cslpull78 2025-08-14T21:24:28.5387392Z * [new tag] cslpull79 -> cslpull79 2025-08-14T21:24:28.5392289Z * [new tag] cslpull80 -> cslpull80 2025-08-14T21:24:28.5392644Z * [new tag] cslpull81 -> cslpull81 2025-08-14T21:24:28.5392763Z * [new tag] cslpull82 -> cslpull82 2025-08-14T21:24:28.5392865Z * [new tag] cslpull83 -> cslpull83 2025-08-14T21:24:28.5392981Z * [new tag] cslpull84 -> cslpull84 2025-08-14T21:24:28.5393097Z * [new tag] cslpull85 -> cslpull85 2025-08-14T21:24:28.5393224Z * [new tag] cslpull86 -> cslpull86 2025-08-14T21:24:28.5393331Z * [new tag] cslpull87 -> cslpull87 2025-08-14T21:24:28.5393430Z * [new tag] cslpull88 -> cslpull88 2025-08-14T21:24:28.5393536Z * [new tag] cslpull89 -> cslpull89 2025-08-14T21:24:28.5393633Z * [new tag] cslpull90 -> cslpull90 2025-08-14T21:24:28.5393741Z * [new tag] cslpull91 -> cslpull91 2025-08-14T21:24:28.5394338Z * [new tag] cslpull92 -> cslpull92 2025-08-14T21:24:28.5394774Z * [new tag] flight_5 -> flight_5 2025-08-14T21:24:28.5395703Z * [new tag] flight_5.1 -> flight_5.1 2025-08-14T21:24:28.5396015Z * [new tag] flight_5.2 -> flight_5.2 2025-08-14T21:24:28.5396890Z * [new tag] flight_5.3 -> flight_5.3 2025-08-14T21:24:28.5397034Z * [new tag] forpull1 -> forpull1 2025-08-14T21:24:28.5398360Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-08-14T21:24:28.5398889Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-08-14T21:24:28.5399877Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-08-14T21:24:28.5400024Z * [new tag] nightly-binary -> nightly-binary 2025-08-14T21:24:28.5400166Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-08-14T21:24:28.5402278Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-08-14T21:24:28.5402552Z * [new tag] trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6 -> trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6 2025-08-14T21:24:28.5402836Z * [new tag] trunk/017259f9c65b6fad55fb9597d7077e2543eaae46 -> trunk/017259f9c65b6fad55fb9597d7077e2543eaae46 2025-08-14T21:24:28.5403164Z * [new tag] trunk/01bcf9a40dea937637d2cdd530bed2652510943d -> trunk/01bcf9a40dea937637d2cdd530bed2652510943d 2025-08-14T21:24:28.5403949Z * [new tag] trunk/01f66d08d93365015f4af005a252f439c4d4013a -> trunk/01f66d08d93365015f4af005a252f439c4d4013a 2025-08-14T21:24:28.5404392Z * [new tag] trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e -> trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e 2025-08-14T21:24:28.5404898Z * [new tag] trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb -> trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb 2025-08-14T21:24:28.5405533Z * [new tag] trunk/05c19d1acecc01b0d2512364183058a6885b9869 -> trunk/05c19d1acecc01b0d2512364183058a6885b9869 2025-08-14T21:24:28.5410510Z * [new tag] trunk/05c417715f791875fbf28cfc3fc86142de1a3206 -> trunk/05c417715f791875fbf28cfc3fc86142de1a3206 2025-08-14T21:24:28.5410944Z * [new tag] trunk/06824f3c7268bb807a422b663047cd0900ddd126 -> trunk/06824f3c7268bb807a422b663047cd0900ddd126 2025-08-14T21:24:28.5411202Z * [new tag] trunk/077cb389746a7d61cfc018aad2ba29a8aa195610 -> trunk/077cb389746a7d61cfc018aad2ba29a8aa195610 2025-08-14T21:24:28.5411458Z * [new tag] trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057 -> trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057 2025-08-14T21:24:28.5411722Z * [new tag] trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1 -> trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1 2025-08-14T21:24:28.5411972Z * [new tag] trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde -> trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde 2025-08-14T21:24:28.5412209Z * [new tag] trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4 -> trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4 2025-08-14T21:24:28.5412440Z * [new tag] trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81 -> trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81 2025-08-14T21:24:28.5412700Z * [new tag] trunk/0d71ca2c46753bb268bfdcf815c14415c122a289 -> trunk/0d71ca2c46753bb268bfdcf815c14415c122a289 2025-08-14T21:24:28.5412937Z * [new tag] trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b -> trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b 2025-08-14T21:24:28.5413180Z * [new tag] trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11 -> trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11 2025-08-14T21:24:28.5413597Z * [new tag] trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca -> trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca 2025-08-14T21:24:28.5413960Z * [new tag] trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483 -> trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483 2025-08-14T21:24:28.5414318Z * [new tag] trunk/1028c5e2d50e121865bf98307e7c035f549a24b2 -> trunk/1028c5e2d50e121865bf98307e7c035f549a24b2 2025-08-14T21:24:28.5414716Z * [new tag] trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e -> trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e 2025-08-14T21:24:28.5415366Z * [new tag] trunk/10e3514c962b58cbbee994257872a626ff76d51b -> trunk/10e3514c962b58cbbee994257872a626ff76d51b 2025-08-14T21:24:28.5415965Z * [new tag] trunk/1128f4c2a822cbe34a9d966306af15097179ffe1 -> trunk/1128f4c2a822cbe34a9d966306af15097179ffe1 2025-08-14T21:24:28.5416545Z * [new tag] trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e -> trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e 2025-08-14T21:24:28.5417220Z * [new tag] trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76 -> trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76 2025-08-14T21:24:28.5417999Z * [new tag] trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91 -> trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91 2025-08-14T21:24:28.5418372Z * [new tag] trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8 -> trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8 2025-08-14T21:24:28.5419173Z * [new tag] trunk/15e49f61643e4c0eef420f0981609709ef55b848 -> trunk/15e49f61643e4c0eef420f0981609709ef55b848 2025-08-14T21:24:28.5419589Z * [new tag] trunk/16d15445f8bd8740095b23de4af89d757af793ca -> trunk/16d15445f8bd8740095b23de4af89d757af793ca 2025-08-14T21:24:28.5420335Z * [new tag] trunk/178515d0ff6833c8e9221482b2a650ab31e00019 -> trunk/178515d0ff6833c8e9221482b2a650ab31e00019 2025-08-14T21:24:28.5420866Z * [new tag] trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe -> trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe 2025-08-14T21:24:28.5421470Z * [new tag] trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf -> trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf 2025-08-14T21:24:28.5422008Z * [new tag] trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca -> trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca 2025-08-14T21:24:28.5422701Z * [new tag] trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014 -> trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014 2025-08-14T21:24:28.5423278Z * [new tag] trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a -> trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a 2025-08-14T21:24:28.5423791Z * [new tag] trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7 -> trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7 2025-08-14T21:24:28.5424903Z * [new tag] trunk/1c2587119152cec3905647a47c65d3d26619c5a8 -> trunk/1c2587119152cec3905647a47c65d3d26619c5a8 2025-08-14T21:24:28.5425162Z * [new tag] trunk/1c26c53851c212a7c90a325549a72f0571613a8c -> trunk/1c26c53851c212a7c90a325549a72f0571613a8c 2025-08-14T21:24:28.5426213Z * [new tag] trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613 -> trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613 2025-08-14T21:24:28.5426475Z * [new tag] trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3 -> trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3 2025-08-14T21:24:28.5427290Z * [new tag] trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc -> trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc 2025-08-14T21:24:28.5428430Z * [new tag] trunk/1f4057c11ac941fb324386ca594d0a6882185aad -> trunk/1f4057c11ac941fb324386ca594d0a6882185aad 2025-08-14T21:24:28.5428721Z * [new tag] trunk/1fc683cf17c8c673044538d10266c00f92987be2 -> trunk/1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:24:28.5429150Z * [new tag] trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65 2025-08-14T21:24:28.5429945Z * [new tag] trunk/206c1eef6571f906c2792d899a09136b3fce9673 -> trunk/206c1eef6571f906c2792d899a09136b3fce9673 2025-08-14T21:24:28.5430503Z * [new tag] trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb -> trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb 2025-08-14T21:24:28.5431012Z * [new tag] trunk/21392c0e06ac2b2621950455975ca6332f0bf641 -> trunk/21392c0e06ac2b2621950455975ca6332f0bf641 2025-08-14T21:24:28.5431473Z * [new tag] trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6 -> trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6 2025-08-14T21:24:28.5433572Z * [new tag] trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d -> trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d 2025-08-14T21:24:28.5433922Z * [new tag] trunk/231c72240d80091f099c95e326d3600cba866eee -> trunk/231c72240d80091f099c95e326d3600cba866eee 2025-08-14T21:24:28.5434235Z * [new tag] trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c -> trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c 2025-08-14T21:24:28.5434591Z * [new tag] trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd -> trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd 2025-08-14T21:24:28.5434958Z * [new tag] trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9 -> trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9 2025-08-14T21:24:28.5435294Z * [new tag] trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227 -> trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227 2025-08-14T21:24:28.5440190Z * [new tag] trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72 -> trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72 2025-08-14T21:24:28.5445770Z * [new tag] trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c -> trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c 2025-08-14T21:24:28.5448868Z * [new tag] trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31 -> trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31 2025-08-14T21:24:28.5449205Z * [new tag] trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad -> trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad 2025-08-14T21:24:28.5449472Z * [new tag] trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1 -> trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1 2025-08-14T21:24:28.5449711Z * [new tag] trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51 -> trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51 2025-08-14T21:24:28.5450159Z * [new tag] trunk/2ee22e435131369a7e4f8cc4732579acc29a941b -> trunk/2ee22e435131369a7e4f8cc4732579acc29a941b 2025-08-14T21:24:28.5450415Z * [new tag] trunk/2f4c2226175512af787725c4d5ad7313c60d4db1 -> trunk/2f4c2226175512af787725c4d5ad7313c60d4db1 2025-08-14T21:24:28.5450672Z * [new tag] trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5 -> trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5 2025-08-14T21:24:28.5450912Z * [new tag] trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2 -> trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2 2025-08-14T21:24:28.5451167Z * [new tag] trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6 -> trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6 2025-08-14T21:24:28.5451404Z * [new tag] trunk/305fa2239365ad17ac9c534a68bba8a149c42d67 -> trunk/305fa2239365ad17ac9c534a68bba8a149c42d67 2025-08-14T21:24:28.5451641Z * [new tag] trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706 -> trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706 2025-08-14T21:24:28.5451887Z * [new tag] trunk/32099961d588fc19ead8afe805d6b5108de75669 -> trunk/32099961d588fc19ead8afe805d6b5108de75669 2025-08-14T21:24:28.5452127Z * [new tag] trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047 -> trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047 2025-08-14T21:24:28.5452372Z * [new tag] trunk/334b38ccc4427b1d14981c48a3a0b92180d58225 -> trunk/334b38ccc4427b1d14981c48a3a0b92180d58225 2025-08-14T21:24:28.5452628Z * [new tag] trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513 -> trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513 2025-08-14T21:24:28.5452849Z * [new tag] trunk/33d94018668951611b318b7515ae96f04e48eac0 -> trunk/33d94018668951611b318b7515ae96f04e48eac0 2025-08-14T21:24:28.5453103Z * [new tag] trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb -> trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb 2025-08-14T21:24:28.5453356Z * [new tag] trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673 -> trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673 2025-08-14T21:24:28.5453652Z * [new tag] trunk/355462e1278d818deb9ef4a184073d5b66074816 -> trunk/355462e1278d818deb9ef4a184073d5b66074816 2025-08-14T21:24:28.5455150Z * [new tag] trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919 -> trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919 2025-08-14T21:24:28.5455487Z * [new tag] trunk/36f46d082a4954921cb8493223f000f2aab79ed7 -> trunk/36f46d082a4954921cb8493223f000f2aab79ed7 2025-08-14T21:24:28.5455757Z * [new tag] trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2 -> trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2 2025-08-14T21:24:28.5456003Z * [new tag] trunk/3a562374401113187ce2566b87e3f1d87d7c53aa -> trunk/3a562374401113187ce2566b87e3f1d87d7c53aa 2025-08-14T21:24:28.5456315Z * [new tag] trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae -> trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae 2025-08-14T21:24:28.5456556Z * [new tag] trunk/3be70dc30e893b552fc0f23ca06cd8f7949b6d08 -> trunk/3be70dc30e893b552fc0f23ca06cd8f7949b6d08 2025-08-14T21:24:28.5460219Z * [new tag] trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0 -> trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0 2025-08-14T21:24:28.5460619Z * [new tag] trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2 -> trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2 2025-08-14T21:24:28.5460969Z * [new tag] trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f -> trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f 2025-08-14T21:24:28.5461342Z * [new tag] trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0 -> trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0 2025-08-14T21:24:28.5461736Z * [new tag] trunk/3faee0a6318afcbbbb48687009a459214910d820 -> trunk/3faee0a6318afcbbbb48687009a459214910d820 2025-08-14T21:24:28.5462054Z * [new tag] trunk/3fcd79e023da7156ac584992ebab29205d3b7881 -> trunk/3fcd79e023da7156ac584992ebab29205d3b7881 2025-08-14T21:24:28.5462326Z * [new tag] trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6 -> trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6 2025-08-14T21:24:28.5462582Z * [new tag] trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23 -> trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23 2025-08-14T21:24:28.5464374Z * [new tag] trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60 -> trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60 2025-08-14T21:24:28.5464641Z * [new tag] trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d -> trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d 2025-08-14T21:24:28.5464891Z * [new tag] trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f -> trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f 2025-08-14T21:24:28.5465143Z * [new tag] trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3 -> trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3 2025-08-14T21:24:28.5465751Z * [new tag] trunk/45ba7ecda876685b083cbbe932450560c566826b -> trunk/45ba7ecda876685b083cbbe932450560c566826b 2025-08-14T21:24:28.5466019Z * [new tag] trunk/47a1db823dfcdacdb99f317428fc3791a18c5812 -> trunk/47a1db823dfcdacdb99f317428fc3791a18c5812 2025-08-14T21:24:28.5466273Z * [new tag] trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee 2025-08-14T21:24:28.5466521Z * [new tag] trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3 -> trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3 2025-08-14T21:24:28.5466782Z * [new tag] trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d -> trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d 2025-08-14T21:24:28.5467016Z * [new tag] trunk/4d419a74610c32b1372f8802dcc61893740a23cf -> trunk/4d419a74610c32b1372f8802dcc61893740a23cf 2025-08-14T21:24:28.5467271Z * [new tag] trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235 -> trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235 2025-08-14T21:24:28.5467533Z * [new tag] trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc -> trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc 2025-08-14T21:24:28.5467950Z * [new tag] trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42 -> trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42 2025-08-14T21:24:28.5471717Z * [new tag] trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d -> trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d 2025-08-14T21:24:28.5471966Z * [new tag] trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa -> trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa 2025-08-14T21:24:28.5472199Z * [new tag] trunk/53e39494958b7e2278cc8176f63636e812e8945f -> trunk/53e39494958b7e2278cc8176f63636e812e8945f 2025-08-14T21:24:28.5472437Z * [new tag] trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce -> trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce 2025-08-14T21:24:28.5472683Z * [new tag] trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919 -> trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919 2025-08-14T21:24:28.5472924Z * [new tag] trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3 -> trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3 2025-08-14T21:24:28.5473162Z * [new tag] trunk/56c828bef93eada0e18d2cc013207831ca80cc99 -> trunk/56c828bef93eada0e18d2cc013207831ca80cc99 2025-08-14T21:24:28.5476097Z * [new tag] trunk/5737372862253a0ac0292407a5844796f02380ad -> trunk/5737372862253a0ac0292407a5844796f02380ad 2025-08-14T21:24:28.5476461Z * [new tag] trunk/57f738b6357cc8fcdde479a0948e723809a1a44d -> trunk/57f738b6357cc8fcdde479a0948e723809a1a44d 2025-08-14T21:24:28.5476792Z * [new tag] trunk/5a40c5784482255b9baf14086cc4b9349fc6d512 -> trunk/5a40c5784482255b9baf14086cc4b9349fc6d512 2025-08-14T21:24:28.5477421Z * [new tag] trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307 -> trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307 2025-08-14T21:24:28.5477823Z * [new tag] trunk/5ace061254af71aa83d1baae81aa1864c9746add -> trunk/5ace061254af71aa83d1baae81aa1864c9746add 2025-08-14T21:24:28.5478198Z * [new tag] trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f -> trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f 2025-08-14T21:24:28.5478582Z * [new tag] trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf -> trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf 2025-08-14T21:24:28.5478950Z * [new tag] trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a -> trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a 2025-08-14T21:24:28.5479303Z * [new tag] trunk/5f5f508aa836a46dfe88857fb223049616b94e93 -> trunk/5f5f508aa836a46dfe88857fb223049616b94e93 2025-08-14T21:24:28.5484749Z * [new tag] trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca -> trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca 2025-08-14T21:24:28.5485095Z * [new tag] trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc -> trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc 2025-08-14T21:24:28.5485388Z * [new tag] trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62 -> trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62 2025-08-14T21:24:28.5485625Z * [new tag] trunk/641ee7478150f26969968f49d8b358e199679a8a -> trunk/641ee7478150f26969968f49d8b358e199679a8a 2025-08-14T21:24:28.5485883Z * [new tag] trunk/65053c03a3d209060cb239d20a229dac37cf9dd1 -> trunk/65053c03a3d209060cb239d20a229dac37cf9dd1 2025-08-14T21:24:28.5486182Z * [new tag] trunk/652a6f5954d039d61dc6e6575ccf89d385d74537 -> trunk/652a6f5954d039d61dc6e6575ccf89d385d74537 2025-08-14T21:24:28.5486420Z * [new tag] trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14 -> trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14 2025-08-14T21:24:28.5486661Z * [new tag] trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c -> trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c 2025-08-14T21:24:28.5486908Z * [new tag] trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f -> trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f 2025-08-14T21:24:28.5487334Z * [new tag] trunk/6be6d06295c870c77a6eb69f96b3170d983520d5 -> trunk/6be6d06295c870c77a6eb69f96b3170d983520d5 2025-08-14T21:24:28.5487589Z * [new tag] trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49 -> trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49 2025-08-14T21:24:28.5487840Z * [new tag] trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66 -> trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66 2025-08-14T21:24:28.5488077Z * [new tag] trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7 -> trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7 2025-08-14T21:24:28.5488314Z * [new tag] trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58 -> trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58 2025-08-14T21:24:28.5488548Z * [new tag] trunk/6ee175195ac7853734d64704171993cc6265eb38 -> trunk/6ee175195ac7853734d64704171993cc6265eb38 2025-08-14T21:24:28.5488781Z * [new tag] trunk/6f0f4e0c3eacd479864319127915f869f64e1935 -> trunk/6f0f4e0c3eacd479864319127915f869f64e1935 2025-08-14T21:24:28.5489028Z * [new tag] trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8 -> trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8 2025-08-14T21:24:28.5489267Z * [new tag] trunk/72009ec6bebca7714f99c18449183787f202af4d -> trunk/72009ec6bebca7714f99c18449183787f202af4d 2025-08-14T21:24:28.5490317Z * [new tag] trunk/731ee31f7b6ba19307daab323f6196172b71aaf8 -> trunk/731ee31f7b6ba19307daab323f6196172b71aaf8 2025-08-14T21:24:28.5490576Z * [new tag] trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59 -> trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59 2025-08-14T21:24:28.5490812Z * [new tag] trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41 -> trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41 2025-08-14T21:24:28.5491149Z * [new tag] trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4 -> trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4 2025-08-14T21:24:28.5491399Z * [new tag] trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299 -> trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299 2025-08-14T21:24:28.5491633Z * [new tag] trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114 -> trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114 2025-08-14T21:24:28.5491889Z * [new tag] trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef -> trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef 2025-08-14T21:24:28.5496963Z * [new tag] trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac -> trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac 2025-08-14T21:24:28.5497253Z * [new tag] trunk/7e27347fd353928c99620495c8c531a5eba7d56b -> trunk/7e27347fd353928c99620495c8c531a5eba7d56b 2025-08-14T21:24:28.5497489Z * [new tag] trunk/7e91394955721c77645fcdb75a5d47a255d65020 -> trunk/7e91394955721c77645fcdb75a5d47a255d65020 2025-08-14T21:24:28.5497758Z * [new tag] trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001 -> trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001 2025-08-14T21:24:28.5498000Z * [new tag] trunk/7fbc22855c17741ae016992803b2e147a13aa22d -> trunk/7fbc22855c17741ae016992803b2e147a13aa22d 2025-08-14T21:24:28.5498243Z * [new tag] trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348 -> trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348 2025-08-14T21:24:28.5498493Z * [new tag] trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2 -> trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2 2025-08-14T21:24:28.5498723Z * [new tag] trunk/80cca8307943ba64168208b54028f55b2c71daff -> trunk/80cca8307943ba64168208b54028f55b2c71daff 2025-08-14T21:24:28.5499800Z * [new tag] trunk/8147370733bbdcd034cad54e9212e51885a11892 -> trunk/8147370733bbdcd034cad54e9212e51885a11892 2025-08-14T21:24:28.5500063Z * [new tag] trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26 -> trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26 2025-08-14T21:24:28.5500466Z * [new tag] trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654 -> trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654 2025-08-14T21:24:28.5500712Z * [new tag] trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f -> trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f 2025-08-14T21:24:28.5500940Z * [new tag] trunk/85db508af533649d0b3447ff3f0d5fe083150c84 -> trunk/85db508af533649d0b3447ff3f0d5fe083150c84 2025-08-14T21:24:28.5501182Z * [new tag] trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a -> trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a 2025-08-14T21:24:28.5501421Z * [new tag] trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367 -> trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367 2025-08-14T21:24:28.5501670Z * [new tag] trunk/89654db1abccf7e5f261989a150db4d1619ea2aa -> trunk/89654db1abccf7e5f261989a150db4d1619ea2aa 2025-08-14T21:24:28.5501909Z * [new tag] trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1 -> trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1 2025-08-14T21:24:28.5502166Z * [new tag] trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d -> trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d 2025-08-14T21:24:28.5502408Z * [new tag] trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6 -> trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6 2025-08-14T21:24:28.5502660Z * [new tag] trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0 -> trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0 2025-08-14T21:24:28.5503400Z * [new tag] trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4 -> trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4 2025-08-14T21:24:28.5503704Z * [new tag] trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d -> trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d 2025-08-14T21:24:28.5510467Z * [new tag] trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1 -> trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1 2025-08-14T21:24:28.5510946Z * [new tag] trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347 -> trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347 2025-08-14T21:24:28.5511229Z * [new tag] trunk/8d6d3246316e1767a57d5e855acd6208da753b75 -> trunk/8d6d3246316e1767a57d5e855acd6208da753b75 2025-08-14T21:24:28.5511476Z * [new tag] trunk/8e6a3138581152ab827a0997f34c470271399f5e -> trunk/8e6a3138581152ab827a0997f34c470271399f5e 2025-08-14T21:24:28.5511745Z * [new tag] trunk/8eee08d2279b98af2522debb6512d37e837e89e3 -> trunk/8eee08d2279b98af2522debb6512d37e837e89e3 2025-08-14T21:24:28.5511985Z * [new tag] trunk/90b78ee50f73b5c963996076a3d54b74b1b965be -> trunk/90b78ee50f73b5c963996076a3d54b74b1b965be 2025-08-14T21:24:28.5512230Z * [new tag] trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6 -> trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6 2025-08-14T21:24:28.5512475Z * [new tag] trunk/95210cc409dd578988c7116b47725c304dea54c7 -> trunk/95210cc409dd578988c7116b47725c304dea54c7 2025-08-14T21:24:28.5512722Z * [new tag] trunk/96bd33b2de79598566df395f32e27c4d33673f05 -> trunk/96bd33b2de79598566df395f32e27c4d33673f05 2025-08-14T21:24:28.5512973Z * [new tag] trunk/9708fcf92db88b80b9010c68662d634434da3106 -> trunk/9708fcf92db88b80b9010c68662d634434da3106 2025-08-14T21:24:28.5513231Z * [new tag] trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8 -> trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8 2025-08-14T21:24:28.5513486Z * [new tag] trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8 -> trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8 2025-08-14T21:24:28.5513738Z * [new tag] trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd -> trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd 2025-08-14T21:24:28.5513980Z * [new tag] trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd -> trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd 2025-08-14T21:24:28.5514240Z * [new tag] trunk/9a0f7a3bb01b235ea04581ee540970a098071b72 -> trunk/9a0f7a3bb01b235ea04581ee540970a098071b72 2025-08-14T21:24:28.5514584Z * [new tag] trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8 -> trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8 2025-08-14T21:24:28.5514823Z * [new tag] trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df -> trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df 2025-08-14T21:24:28.5519884Z * [new tag] trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc -> trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc 2025-08-14T21:24:28.5520180Z * [new tag] trunk/9e07673deb212c87b1c6fea23799a97474c476ed -> trunk/9e07673deb212c87b1c6fea23799a97474c476ed 2025-08-14T21:24:28.5520446Z * [new tag] trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09 -> trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09 2025-08-14T21:24:28.5520748Z * [new tag] trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674 -> trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674 2025-08-14T21:24:28.5521019Z * [new tag] trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715 -> trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715 2025-08-14T21:24:28.5521272Z * [new tag] trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69 -> trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69 2025-08-14T21:24:28.5521530Z * [new tag] trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c -> trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c 2025-08-14T21:24:28.5522180Z * [new tag] trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600 -> trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600 2025-08-14T21:24:28.5522469Z * [new tag] trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b -> trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b 2025-08-14T21:24:28.5522721Z * [new tag] trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae -> trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae 2025-08-14T21:24:28.5523123Z * [new tag] trunk/a5652407e4f3d772fc44486ac2abf756decf0861 -> trunk/a5652407e4f3d772fc44486ac2abf756decf0861 2025-08-14T21:24:28.5523482Z * [new tag] trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b -> trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b 2025-08-14T21:24:28.5523737Z * [new tag] trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332 -> trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332 2025-08-14T21:24:28.5523986Z * [new tag] trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883 -> trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883 2025-08-14T21:24:28.5524236Z * [new tag] trunk/adcca7d9a1c053495e99012de801b2ea237faad0 -> trunk/adcca7d9a1c053495e99012de801b2ea237faad0 2025-08-14T21:24:28.5524504Z * [new tag] trunk/af10f1f86cc4effc93142a447693d8be55966615 -> trunk/af10f1f86cc4effc93142a447693d8be55966615 2025-08-14T21:24:28.5528912Z * [new tag] trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c -> trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c 2025-08-14T21:24:28.5529345Z * [new tag] trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107 -> trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107 2025-08-14T21:24:28.5529692Z * [new tag] trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5 -> trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5 2025-08-14T21:24:28.5530067Z * [new tag] trunk/b1a602762e6a6674b406a3137e7e7a678885a97b -> trunk/b1a602762e6a6674b406a3137e7e7a678885a97b 2025-08-14T21:24:28.5530454Z * [new tag] trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc -> trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc 2025-08-14T21:24:28.5531095Z * [new tag] trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753 -> trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753 2025-08-14T21:24:28.5531369Z * [new tag] trunk/b4596895b9d85a686c2cb978938b0a7797b3690a -> trunk/b4596895b9d85a686c2cb978938b0a7797b3690a 2025-08-14T21:24:28.5531655Z * [new tag] trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02 -> trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02 2025-08-14T21:24:28.5532123Z * [new tag] trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf -> trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf 2025-08-14T21:24:28.5532392Z * [new tag] trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64 -> trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64 2025-08-14T21:24:28.5532640Z * [new tag] trunk/b7db86600a2614adc71c92ca42d359a7ac534d78 -> trunk/b7db86600a2614adc71c92ca42d359a7ac534d78 2025-08-14T21:24:28.5532881Z * [new tag] trunk/b9003ed3d87699e81e436719625a21996a6654e5 -> trunk/b9003ed3d87699e81e436719625a21996a6654e5 2025-08-14T21:24:28.5533141Z * [new tag] trunk/b90feeac86bda00afc2789321bcd706015ff44e3 -> trunk/b90feeac86bda00afc2789321bcd706015ff44e3 2025-08-14T21:24:28.5533394Z * [new tag] trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8 -> trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8 2025-08-14T21:24:28.5534198Z * [new tag] trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4 -> trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4 2025-08-14T21:24:28.5534469Z * [new tag] trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491 -> trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491 2025-08-14T21:24:28.5534705Z * [new tag] trunk/bcf23ecc476df2bd7479f142567213e2623308ee -> trunk/bcf23ecc476df2bd7479f142567213e2623308ee 2025-08-14T21:24:28.5534964Z * [new tag] trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff -> trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff 2025-08-14T21:24:28.5535219Z * [new tag] trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941 -> trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941 2025-08-14T21:24:28.5535463Z * [new tag] trunk/bfc873d02ec413344717493e4175a902921359fd -> trunk/bfc873d02ec413344717493e4175a902921359fd 2025-08-14T21:24:28.5535778Z * [new tag] trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca -> trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca 2025-08-14T21:24:28.5541069Z * [new tag] trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431 -> trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431 2025-08-14T21:24:28.5541505Z * [new tag] trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4 -> trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4 2025-08-14T21:24:28.5541891Z * [new tag] trunk/c5ec5458a547f7a774468ea0eb2258d3de596492 -> trunk/c5ec5458a547f7a774468ea0eb2258d3de596492 2025-08-14T21:24:28.5542285Z * [new tag] trunk/c5efc5c8a66eca84865015058b3221013ebfe685 -> trunk/c5efc5c8a66eca84865015058b3221013ebfe685 2025-08-14T21:24:28.5542647Z * [new tag] trunk/c6563341208003f64c131854a9cf029555f786d2 -> trunk/c6563341208003f64c131854a9cf029555f786d2 2025-08-14T21:24:28.5543043Z * [new tag] trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e -> trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e 2025-08-14T21:24:28.5543324Z * [new tag] trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23 -> trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23 2025-08-14T21:24:28.5543591Z * [new tag] trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5 -> trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5 2025-08-14T21:24:28.5543839Z * [new tag] trunk/c86040a8e68f754b90a84099187d3624954c7f36 -> trunk/c86040a8e68f754b90a84099187d3624954c7f36 2025-08-14T21:24:28.5544094Z * [new tag] trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4 -> trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4 2025-08-14T21:24:28.5544350Z * [new tag] trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9 -> trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9 2025-08-14T21:24:28.5544598Z * [new tag] trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff -> trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff 2025-08-14T21:24:28.5544895Z * [new tag] trunk/cbffde774557752cf20447d42d99ec6102673c31 -> trunk/cbffde774557752cf20447d42d99ec6102673c31 2025-08-14T21:24:28.5545160Z * [new tag] trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc -> trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc 2025-08-14T21:24:28.5546019Z * [new tag] trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf -> trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf 2025-08-14T21:24:28.5546276Z * [new tag] trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81 -> trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81 2025-08-14T21:24:28.5546529Z * [new tag] trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0 -> trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0 2025-08-14T21:24:28.5551974Z * [new tag] trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2 -> trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2 2025-08-14T21:24:28.5553891Z * [new tag] trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3 -> trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3 2025-08-14T21:24:28.5554279Z * [new tag] trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c -> trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c 2025-08-14T21:24:28.5557392Z * [new tag] trunk/d3d359dbafa89173a371e2637f22b47398e94a24 -> trunk/d3d359dbafa89173a371e2637f22b47398e94a24 2025-08-14T21:24:28.5557785Z * [new tag] trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1 -> trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1 2025-08-14T21:24:28.5562882Z * [new tag] trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f -> trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f 2025-08-14T21:24:28.5568707Z * [new tag] trunk/d556586448f3caab85673c7da0978fe31c7748f7 -> trunk/d556586448f3caab85673c7da0978fe31c7748f7 2025-08-14T21:24:28.5569137Z * [new tag] trunk/d670304001429a1a833255a918ed788d7ec4989a -> trunk/d670304001429a1a833255a918ed788d7ec4989a 2025-08-14T21:24:28.5569503Z * [new tag] trunk/d6786741a77aba200c78002646cc069b7a1799b0 -> trunk/d6786741a77aba200c78002646cc069b7a1799b0 2025-08-14T21:24:28.5570069Z * [new tag] trunk/d68c323692dedcbb74e670801e3502944fd790ff -> trunk/d68c323692dedcbb74e670801e3502944fd790ff 2025-08-14T21:24:28.5570791Z * [new tag] trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c -> trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c 2025-08-14T21:24:28.5571076Z * [new tag] trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd -> trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd 2025-08-14T21:24:28.5571334Z * [new tag] trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35 -> trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35 2025-08-14T21:24:28.5571580Z * [new tag] trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4 -> trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4 2025-08-14T21:24:28.5571818Z * [new tag] trunk/db763b17175553ba09637362eb9773a91997a7ad -> trunk/db763b17175553ba09637362eb9773a91997a7ad 2025-08-14T21:24:28.5572057Z * [new tag] trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f -> trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f 2025-08-14T21:24:28.5572328Z * [new tag] trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd -> trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd 2025-08-14T21:24:28.5572580Z * [new tag] trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8 -> trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8 2025-08-14T21:24:28.5572821Z * [new tag] trunk/deea71a90e05eb320c04bebfead5317746637f0d -> trunk/deea71a90e05eb320c04bebfead5317746637f0d 2025-08-14T21:24:28.5573065Z * [new tag] trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948 -> trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948 2025-08-14T21:24:28.5573300Z * [new tag] trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df -> trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df 2025-08-14T21:24:28.5573526Z * [new tag] trunk/e248719ac03c103767ab72034f6b9fd56855bf98 -> trunk/e248719ac03c103767ab72034f6b9fd56855bf98 2025-08-14T21:24:28.5573766Z * [new tag] trunk/e49762026070f66be41bfa6537fbcf9bfc24e558 -> trunk/e49762026070f66be41bfa6537fbcf9bfc24e558 2025-08-14T21:24:28.5574160Z * [new tag] trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168 -> trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168 2025-08-14T21:24:28.5574412Z * [new tag] trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f -> trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f 2025-08-14T21:24:28.5574649Z * [new tag] trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58 -> trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58 2025-08-14T21:24:28.5574891Z * [new tag] trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3 -> trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3 2025-08-14T21:24:28.5575139Z * [new tag] trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a -> trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a 2025-08-14T21:24:28.5575374Z * [new tag] trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c -> trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c 2025-08-14T21:24:28.5575628Z * [new tag] trunk/eac2d9d695a32dd456050f45cac35134ec3809f4 -> trunk/eac2d9d695a32dd456050f45cac35134ec3809f4 2025-08-14T21:24:28.5575876Z * [new tag] trunk/ecde76c764752540edf9ef62a97936c86d984b17 -> trunk/ecde76c764752540edf9ef62a97936c86d984b17 2025-08-14T21:24:28.5576121Z * [new tag] trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b -> trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b 2025-08-14T21:24:28.5576359Z * [new tag] trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb -> trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb 2025-08-14T21:24:28.5576592Z * [new tag] trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2 -> trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2 2025-08-14T21:24:28.5576832Z * [new tag] trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e -> trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e 2025-08-14T21:24:28.5577202Z * [new tag] trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c -> trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c 2025-08-14T21:24:28.5577468Z * [new tag] trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c -> trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c 2025-08-14T21:24:28.5577727Z * [new tag] trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76 -> trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76 2025-08-14T21:24:28.5577975Z * [new tag] trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94 -> trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94 2025-08-14T21:24:28.5578232Z * [new tag] trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35 -> trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35 2025-08-14T21:24:28.5578479Z * [new tag] trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640 -> trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640 2025-08-14T21:24:28.5578721Z * [new tag] trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5 -> trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5 2025-08-14T21:24:28.5578963Z * [new tag] trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc -> trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc 2025-08-14T21:24:28.5579207Z * [new tag] trunk/f341077ce4710172da20cfad916ee37159bfe9fe -> trunk/f341077ce4710172da20cfad916ee37159bfe9fe 2025-08-14T21:24:28.5579446Z * [new tag] trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7 -> trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7 2025-08-14T21:24:28.5579697Z * [new tag] trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c -> trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c 2025-08-14T21:24:28.5579943Z * [new tag] trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457 -> trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457 2025-08-14T21:24:28.5580190Z * [new tag] trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344 -> trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344 2025-08-14T21:24:28.5580434Z * [new tag] trunk/f8f0414a5983ff481a2188e0c18594150430c8c5 -> trunk/f8f0414a5983ff481a2188e0c18594150430c8c5 2025-08-14T21:24:28.5580683Z * [new tag] trunk/f95b58c2844b3444cd8446fed8570729dc4216eb -> trunk/f95b58c2844b3444cd8446fed8570729dc4216eb 2025-08-14T21:24:28.5580965Z * [new tag] trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d -> trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d 2025-08-14T21:24:28.5581230Z * [new tag] trunk/fb887c3bb588cfe782615e67f6c26db636b8539b -> trunk/fb887c3bb588cfe782615e67f6c26db636b8539b 2025-08-14T21:24:28.5581473Z * [new tag] trunk/fc25c68f20f772290927a7031b998b92615259cf -> trunk/fc25c68f20f772290927a7031b998b92615259cf 2025-08-14T21:24:28.5581730Z * [new tag] trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb -> trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb 2025-08-14T21:24:28.5581997Z * [new tag] trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb -> trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb 2025-08-14T21:24:28.5582827Z * [new tag] trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08 -> trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08 2025-08-14T21:24:28.5583350Z * [new tag] trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab -> trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab 2025-08-14T21:24:28.5584525Z * [new tag] trunk/ff0d56d03592aa03f3ced8359241d21df1783393 -> trunk/ff0d56d03592aa03f3ced8359241d21df1783393 2025-08-14T21:24:28.5584656Z * [new tag] v0.1.1 -> v0.1.1 2025-08-14T21:24:28.5585243Z * [new tag] v0.1.10 -> v0.1.10 2025-08-14T21:24:28.5586024Z * [new tag] v0.1.11 -> v0.1.11 2025-08-14T21:24:28.5586334Z * [new tag] v0.1.12 -> v0.1.12 2025-08-14T21:24:28.5587111Z * [new tag] v0.1.2 -> v0.1.2 2025-08-14T21:24:28.5587310Z * [new tag] v0.1.3 -> v0.1.3 2025-08-14T21:24:28.5588628Z * [new tag] v0.1.4 -> v0.1.4 2025-08-14T21:24:28.5589189Z * [new tag] v0.1.5 -> v0.1.5 2025-08-14T21:24:28.5589646Z * [new tag] v0.1.6 -> v0.1.6 2025-08-14T21:24:28.5589760Z * [new tag] v0.1.7 -> v0.1.7 2025-08-14T21:24:28.5590028Z * [new tag] v0.1.8 -> v0.1.8 2025-08-14T21:24:28.5591671Z * [new tag] v0.1.9 -> v0.1.9 2025-08-14T21:24:28.5591819Z * [new tag] v0.2.0 -> v0.2.0 2025-08-14T21:24:28.5591919Z * [new tag] v0.3.0 -> v0.3.0 2025-08-14T21:24:28.5592418Z * [new tag] v0.3.1 -> v0.3.1 2025-08-14T21:24:28.5595987Z * [new tag] v0.4.0 -> v0.4.0 2025-08-14T21:24:28.5596270Z * [new tag] v0.4.1 -> v0.4.1 2025-08-14T21:24:28.5596433Z * [new tag] v1.0.0 -> v1.0.0 2025-08-14T21:24:28.5596554Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-08-14T21:24:28.5596659Z * [new tag] v1.0.1 -> v1.0.1 2025-08-14T21:24:28.5596902Z * [new tag] v1.0rc0 -> v1.0rc0 2025-08-14T21:24:28.5597022Z * [new tag] v1.0rc1 -> v1.0rc1 2025-08-14T21:24:28.5597149Z * [new tag] v1.1.0 -> v1.1.0 2025-08-14T21:24:28.5597616Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-08-14T21:24:28.5597868Z * [new tag] v1.10.0 -> v1.10.0 2025-08-14T21:24:28.5600918Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-08-14T21:24:28.5601209Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-08-14T21:24:28.5601365Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-08-14T21:24:28.5601773Z * [new tag] v1.10.1 -> v1.10.1 2025-08-14T21:24:28.5601905Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-08-14T21:24:28.5602091Z * [new tag] v1.10.2 -> v1.10.2 2025-08-14T21:24:28.5602714Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-08-14T21:24:28.5602851Z * [new tag] v1.11.0 -> v1.11.0 2025-08-14T21:24:28.5602976Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-08-14T21:24:28.5603360Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-08-14T21:24:28.5604584Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-08-14T21:24:28.5604885Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-08-14T21:24:28.5605366Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-08-14T21:24:28.5605777Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-08-14T21:24:28.5606163Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-08-14T21:24:28.5607684Z * [new tag] v1.12.0 -> v1.12.0 2025-08-14T21:24:28.5607991Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-08-14T21:24:28.5608130Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-08-14T21:24:28.5608632Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-08-14T21:24:28.5611455Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-08-14T21:24:28.5611745Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-08-14T21:24:28.5611873Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-08-14T21:24:28.5611983Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-08-14T21:24:28.5612253Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-08-14T21:24:28.5612515Z * [new tag] v1.12.1 -> v1.12.1 2025-08-14T21:24:28.5612632Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-08-14T21:24:28.5612999Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-08-14T21:24:28.5616987Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-08-14T21:24:28.5617274Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-08-14T21:24:28.5617406Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-08-14T21:24:28.5617514Z * [new tag] v1.13.0 -> v1.13.0 2025-08-14T21:24:28.5617615Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-08-14T21:24:28.5617724Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-08-14T21:24:28.5617968Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-08-14T21:24:28.5618103Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-08-14T21:24:28.5619367Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-08-14T21:24:28.5619950Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-08-14T21:24:28.5620089Z * [new tag] v1.13.1 -> v1.13.1 2025-08-14T21:24:28.5620204Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-08-14T21:24:28.5620356Z * [new tag] v1.2.0 -> v1.2.0 2025-08-14T21:24:28.5620840Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-08-14T21:24:28.5622537Z * [new tag] v1.3.0 -> v1.3.0 2025-08-14T21:24:28.5622682Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-08-14T21:24:28.5622803Z * [new tag] v1.3.1 -> v1.3.1 2025-08-14T21:24:28.5623210Z * [new tag] v1.4.0 -> v1.4.0 2025-08-14T21:24:28.5623624Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-08-14T21:24:28.5624028Z * [new tag] v1.4.1 -> v1.4.1 2025-08-14T21:24:28.5625087Z * [new tag] v1.5.0 -> v1.5.0 2025-08-14T21:24:28.5625502Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-08-14T21:24:28.5629423Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-08-14T21:24:28.5629711Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-08-14T21:24:28.5629840Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-08-14T21:24:28.5630034Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-08-14T21:24:28.5630170Z * [new tag] v1.5.1 -> v1.5.1 2025-08-14T21:24:28.5630314Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-08-14T21:24:28.5635339Z * [new tag] v1.6.0 -> v1.6.0 2025-08-14T21:24:28.5635638Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-08-14T21:24:28.5635833Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-08-14T21:24:28.5635953Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-08-14T21:24:28.5636145Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-08-14T21:24:28.5636261Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-08-14T21:24:28.5636446Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-08-14T21:24:28.5636560Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-08-14T21:24:28.5636928Z * [new tag] v1.7.0 -> v1.7.0 2025-08-14T21:24:28.5637851Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-08-14T21:24:28.5638033Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-08-14T21:24:28.5638134Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-08-14T21:24:28.5638231Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-08-14T21:24:28.5638341Z * [new tag] v1.7.1 -> v1.7.1 2025-08-14T21:24:28.5638438Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-08-14T21:24:28.5638540Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-08-14T21:24:28.5638631Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-08-14T21:24:28.5643042Z * [new tag] v1.8.0 -> v1.8.0 2025-08-14T21:24:28.5643197Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-08-14T21:24:28.5643312Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-08-14T21:24:28.5643438Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-08-14T21:24:28.5643558Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-08-14T21:24:28.5643655Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-08-14T21:24:28.5643763Z * [new tag] v1.8.1 -> v1.8.1 2025-08-14T21:24:28.5643866Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-08-14T21:24:28.5643970Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-08-14T21:24:28.5644066Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-08-14T21:24:28.5644193Z * [new tag] v1.8.2 -> v1.8.2 2025-08-14T21:24:28.5644315Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-08-14T21:24:28.5644417Z * [new tag] v1.9.0 -> v1.9.0 2025-08-14T21:24:28.5644840Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-08-14T21:24:28.5645347Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-08-14T21:24:28.5645548Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-08-14T21:24:28.5645820Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-08-14T21:24:28.5646066Z * [new tag] v1.9.1 -> v1.9.1 2025-08-14T21:24:28.5652394Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-08-14T21:24:28.5652533Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-08-14T21:24:28.5652650Z * [new tag] v2.0.0 -> v2.0.0 2025-08-14T21:24:28.5652753Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-08-14T21:24:28.5652849Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-08-14T21:24:28.5652980Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-08-14T21:24:28.5653102Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-08-14T21:24:28.5653201Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-08-14T21:24:28.5655278Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-08-14T21:24:28.5655562Z * [new tag] v2.0.1 -> v2.0.1 2025-08-14T21:24:28.5655689Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-08-14T21:24:28.5655797Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-08-14T21:24:28.5656020Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-08-14T21:24:28.5656120Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-08-14T21:24:28.5656213Z * [new tag] v2.1.0 -> v2.1.0 2025-08-14T21:24:28.5656445Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-08-14T21:24:28.5661746Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-08-14T21:24:28.5662062Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-08-14T21:24:28.5662598Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-08-14T21:24:28.5663610Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-08-14T21:24:28.5663921Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-08-14T21:24:28.5664053Z * [new tag] v2.1.1 -> v2.1.1 2025-08-14T21:24:28.5664165Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-08-14T21:24:28.5664265Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-08-14T21:24:28.5664363Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-08-14T21:24:28.5664474Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-08-14T21:24:28.5664582Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-08-14T21:24:28.5664692Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-08-14T21:24:28.5664798Z * [new tag] v2.1.2 -> v2.1.2 2025-08-14T21:24:28.5664893Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-08-14T21:24:28.5665011Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-08-14T21:24:28.5665121Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-08-14T21:24:28.5665484Z * [new tag] v2.2.0 -> v2.2.0 2025-08-14T21:24:28.5665807Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-08-14T21:24:28.5666025Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-08-14T21:24:28.5666152Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-08-14T21:24:28.5666283Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-08-14T21:24:28.5666558Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-08-14T21:24:28.5670104Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-08-14T21:24:28.5670377Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-08-14T21:24:28.5670505Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-08-14T21:24:28.5670611Z * [new tag] v2.2.1 -> v2.2.1 2025-08-14T21:24:28.5670710Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-08-14T21:24:28.5670973Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-08-14T21:24:28.5671646Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-08-14T21:24:28.5671775Z * [new tag] v2.2.2 -> v2.2.2 2025-08-14T21:24:28.5671926Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-08-14T21:24:28.5677033Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-08-14T21:24:28.5677320Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-08-14T21:24:28.5677468Z * [new tag] v2.3.0 -> v2.3.0 2025-08-14T21:24:28.5677571Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-08-14T21:24:28.5677689Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-08-14T21:24:28.5677789Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-08-14T21:24:28.5678023Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-08-14T21:24:28.5678150Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-08-14T21:24:28.5678332Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-08-14T21:24:28.5678451Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-08-14T21:24:28.5679432Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-08-14T21:24:28.5679565Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-08-14T21:24:28.5679995Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-08-14T21:24:28.5680122Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-08-14T21:24:28.5680232Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-08-14T21:24:28.5680333Z * [new tag] v2.3.1 -> v2.3.1 2025-08-14T21:24:28.5680451Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-08-14T21:24:28.5680560Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-08-14T21:24:28.5680674Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-08-14T21:24:28.5680767Z * [new tag] v2.4.0 -> v2.4.0 2025-08-14T21:24:28.5680911Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-08-14T21:24:28.5686048Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-08-14T21:24:28.5686345Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-08-14T21:24:28.5686475Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-08-14T21:24:28.5686596Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-08-14T21:24:28.5686842Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-08-14T21:24:28.5686952Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-08-14T21:24:28.5687168Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-08-14T21:24:28.5687296Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-08-14T21:24:28.5687491Z * [new tag] v2.4.1 -> v2.4.1 2025-08-14T21:24:28.5687650Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-08-14T21:24:28.5687939Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-08-14T21:24:28.5688045Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-08-14T21:24:28.5688291Z * [new tag] v2.5.0 -> v2.5.0 2025-08-14T21:24:28.5688413Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-08-14T21:24:28.5693785Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-08-14T21:24:28.5696065Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-08-14T21:24:28.5702366Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-08-14T21:24:28.5702653Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-08-14T21:24:28.5702791Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-08-14T21:24:28.5702893Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-08-14T21:24:28.5703096Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-08-14T21:24:28.5703223Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-08-14T21:24:28.5703404Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-08-14T21:24:28.5703542Z * [new tag] v2.5.1 -> v2.5.1 2025-08-14T21:24:28.5703643Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-08-14T21:24:28.5703744Z * [new tag] v2.6.0 -> v2.6.0 2025-08-14T21:24:28.5703983Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-08-14T21:24:28.5704103Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-08-14T21:24:28.5704210Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-08-14T21:24:28.5704310Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-08-14T21:24:28.5704544Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-08-14T21:24:28.5704669Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-08-14T21:24:28.5704768Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-08-14T21:24:28.5704876Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-08-14T21:24:28.5704974Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-08-14T21:24:28.5705072Z * [new tag] v2.7.0 -> v2.7.0 2025-08-14T21:24:28.5705178Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-08-14T21:24:28.5705288Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-08-14T21:24:28.5705610Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-08-14T21:24:28.5705774Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-08-14T21:24:28.5705888Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-08-14T21:24:28.5705997Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-08-14T21:24:28.5706102Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-08-14T21:24:28.5706195Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-08-14T21:24:28.5706301Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-08-14T21:24:28.5706395Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-08-14T21:24:28.5706495Z * [new tag] v2.7.1 -> v2.7.1 2025-08-14T21:24:28.5706732Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-08-14T21:24:28.5707242Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-08-14T21:24:28.5707791Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-08-14T21:24:28.5711878Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-08-14T21:24:28.5712175Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-08-14T21:24:28.5712286Z * [new tag] v2.8.0 -> v2.8.0 2025-08-14T21:24:28.5712399Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-08-14T21:24:28.5712506Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-08-14T21:24:28.5712599Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-08-14T21:24:28.5712705Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-08-14T21:24:28.5713290Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-08-14T21:24:28.5713554Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-08-14T21:24:28.5714909Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-08-14T21:24:28.5715412Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-08-14T21:24:28.5715770Z * [new tag] whc_flight_1 -> whc_flight_1 2025-08-14T21:24:28.5718409Z * [new tag] whc_flight_2 -> whc_flight_2 2025-08-14T21:24:28.5718555Z * [new tag] whc_flight_4 -> whc_flight_4 2025-08-14T21:24:28.6198350Z [command]/usr/bin/git rev-parse --verify --quiet 1fc683cf17c8c673044538d10266c00f92987be2^{object} 2025-08-14T21:24:28.6227935Z 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:24:28.6231117Z ##[endgroup] 2025-08-14T21:24:28.6231343Z ##[group]Determining the checkout info 2025-08-14T21:24:28.6231775Z ##[endgroup] 2025-08-14T21:24:28.6240943Z [command]/usr/bin/git sparse-checkout disable 2025-08-14T21:24:28.6286049Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-08-14T21:24:28.6313536Z ##[group]Checking out the ref 2025-08-14T21:24:28.6321444Z [command]/usr/bin/git checkout --progress --force 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:24:29.6517749Z Updating files: 99% (19453/19474) 2025-08-14T21:24:29.6518059Z Updating files: 100% (19474/19474) 2025-08-14T21:24:29.6518278Z Updating files: 100% (19474/19474), done. 2025-08-14T21:24:29.6746473Z Note: switching to '1fc683cf17c8c673044538d10266c00f92987be2'. 2025-08-14T21:24:29.6746802Z 2025-08-14T21:24:29.6746986Z You are in 'detached HEAD' state. You can look around, make experimental 2025-08-14T21:24:29.6747365Z changes and commit them, and you can discard any commits you make in this 2025-08-14T21:24:29.6747711Z state without impacting any branches by switching back to a branch. 2025-08-14T21:24:29.6747924Z 2025-08-14T21:24:29.6748059Z If you want to create a new branch to retain commits you create, you may 2025-08-14T21:24:29.6748402Z do so (now or later) by using -c with the switch command. Example: 2025-08-14T21:24:29.6748591Z 2025-08-14T21:24:29.6748683Z git switch -c 2025-08-14T21:24:29.6748819Z 2025-08-14T21:24:29.6748899Z Or undo this operation with: 2025-08-14T21:24:29.6749064Z 2025-08-14T21:24:29.6749143Z git switch - 2025-08-14T21:24:29.6749237Z 2025-08-14T21:24:29.6749401Z Turn off this advice by setting config variable advice.detachedHead to false 2025-08-14T21:24:29.6749640Z 2025-08-14T21:24:29.6749879Z HEAD is now at 1fc683cf17c [Inductor] Allow indexing a flexible layout for extract_input_node_reduction_ranges (#160645) 2025-08-14T21:24:29.6805031Z ##[endgroup] 2025-08-14T21:24:29.6805411Z ##[group]Setting up auth for fetching submodules 2025-08-14T21:24:29.6805873Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-08-14T21:24:29.6878595Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-08-14T21:24:29.6911816Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-08-14T21:24:29.6953860Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-08-14T21:24:29.6985084Z ##[endgroup] 2025-08-14T21:24:29.6986021Z ##[group]Fetching submodules 2025-08-14T21:24:29.6989103Z [command]/usr/bin/git submodule sync --recursive 2025-08-14T21:24:29.7313626Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-08-14T21:24:29.8021453Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-08-14T21:24:29.8022215Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-08-14T21:24:29.8022867Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-08-14T21:24:29.8023478Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-08-14T21:24:29.8025637Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-08-14T21:24:29.8046416Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-08-14T21:24:29.8047155Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-08-14T21:24:29.8051519Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-08-14T21:24:29.8052133Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-08-14T21:24:29.8070170Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-08-14T21:24:29.8075549Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-08-14T21:24:29.8076795Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-08-14T21:24:29.8077451Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-08-14T21:24:29.8091845Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-08-14T21:24:29.8092480Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-08-14T21:24:29.8098033Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-08-14T21:24:29.8098734Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-08-14T21:24:29.8113369Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-08-14T21:24:29.8116535Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:24:29.8118901Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-08-14T21:24:29.8120969Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-08-14T21:24:29.8143126Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-08-14T21:24:29.8143740Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-08-14T21:24:29.8153282Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-08-14T21:24:29.8154089Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-08-14T21:24:29.8174093Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-08-14T21:24:29.8178405Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-08-14T21:24:29.8178962Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-08-14T21:24:29.8179630Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-08-14T21:24:29.8200367Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-08-14T21:24:29.8204724Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-08-14T21:24:29.8205418Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-08-14T21:24:29.8207614Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-08-14T21:24:29.8223132Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-08-14T21:24:29.8230206Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-08-14T21:24:29.8232578Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-08-14T21:24:29.8234287Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-08-14T21:24:29.8266943Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-08-14T21:24:30.1096446Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-08-14T21:24:30.1097896Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-08-14T21:24:30.1098920Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-08-14T21:24:30.1099898Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-08-14T21:24:30.1100948Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-08-14T21:24:30.1989107Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-08-14T21:24:31.2978397Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-08-14T21:24:31.2979733Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-08-14T21:24:31.2980776Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-08-14T21:24:31.2982213Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-08-14T21:24:31.2983131Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-08-14T21:24:31.2983975Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-08-14T21:24:31.2984759Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-08-14T21:24:31.2986003Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-08-14T21:24:31.2986783Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-08-14T21:24:31.2987295Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-08-14T21:24:31.2987778Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-08-14T21:24:31.2988254Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-08-14T21:24:31.2988781Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-08-14T21:24:31.2989896Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-08-14T21:24:31.2990730Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-08-14T21:24:31.2991553Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-08-14T21:24:31.3980412Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-08-14T21:24:31.5780145Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-08-14T21:24:31.5781072Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-08-14T21:24:31.5782071Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-08-14T21:24:31.6741585Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-08-14T21:24:43.6656296Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-08-14T21:24:43.6656856Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-08-14T21:24:43.6657292Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-08-14T21:24:43.6657732Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-08-14T21:24:43.6658198Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-08-14T21:24:43.6658655Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-08-14T21:24:43.6659149Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-08-14T21:24:43.6659647Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-08-14T21:24:43.6660448Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-08-14T21:24:43.6800680Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-08-14T21:24:43.6915357Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-08-14T21:24:43.7010137Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-08-14T21:24:43.7232911Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-08-14T21:24:43.7941635Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-08-14T21:24:43.8375024Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-08-14T21:24:44.3953238Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-08-14T21:24:44.5222254Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-08-14T21:24:44.5251699Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:24:44.5273299Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-08-14T21:24:47.8973800Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-08-14T21:24:47.9181432Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-08-14T21:24:48.1684245Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-08-14T21:24:48.2143153Z Submodule path 'third_party/cpp-httplib': checked out '3af7f2c16147f3fbc6e4d717032daf505dc1652c' 2025-08-14T21:24:48.3053529Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-08-14T21:24:48.3460845Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-08-14T21:24:48.8888694Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-08-14T21:24:49.0035180Z Submodule path 'third_party/fbgemm': checked out '21c7d30c526c0f1ad873ecc632dca6cfa8a69067' 2025-08-14T21:24:49.0054388Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-08-14T21:24:49.0055274Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:24:49.0056579Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:24:49.0057248Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-08-14T21:24:49.0058033Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-08-14T21:24:49.0058921Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:24:49.0060841Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-08-14T21:24:49.0090159Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-08-14T21:24:50.2759397Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-08-14T21:24:50.2761902Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-08-14T21:24:50.2762470Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-08-14T21:24:50.2763440Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-08-14T21:24:50.3761946Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-08-14T21:24:51.3202513Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-08-14T21:24:55.4881871Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-08-14T21:24:55.6912571Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-08-14T21:24:55.7817961Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-08-14T21:24:56.3048171Z Submodule path 'third_party/fbgemm/external/cutlass': checked out 'b40777404c174b9694a870bff5c13ce6b7f656ad' 2025-08-14T21:24:56.3460365Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-14T21:24:56.3575507Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out 'a4337c69fe0e2552a7b7b0669178926beeed828c' 2025-08-14T21:24:56.4484392Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-08-14T21:24:56.5078476Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-08-14T21:24:56.5097977Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:24:56.5102665Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:24:56.5123041Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-08-14T21:24:59.6541383Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-08-14T21:24:59.8395378Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-08-14T21:25:00.3267270Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-08-14T21:25:00.4460971Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-08-14T21:25:00.4787615Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-08-14T21:25:00.5160126Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-08-14T21:25:00.5396902Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-08-14T21:25:00.5830497Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-14T21:25:00.5964599Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-08-14T21:25:00.5980499Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-08-14T21:25:00.6007780Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-08-14T21:25:11.9787834Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-08-14T21:25:11.9969666Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-08-14T21:25:12.0849854Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-08-14T21:25:12.0866681Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:25:12.0867877Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:25:12.0873430Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:25:12.0900458Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-08-14T21:25:12.7193318Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-08-14T21:25:13.3375329Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-08-14T21:25:13.4122211Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-08-14T21:25:13.4143051Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:25:13.4143978Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:25:13.4144744Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:25:13.4145960Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:25:13.4146830Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:25:13.4147674Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:25:13.4153353Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:25:13.4154481Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:25:13.4179871Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-08-14T21:25:14.6597174Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-08-14T21:25:14.6597911Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-08-14T21:25:14.6598583Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-08-14T21:25:14.6599299Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-08-14T21:25:14.6600009Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-08-14T21:25:14.6879689Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-08-14T21:25:14.7883848Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-08-14T21:25:20.0319766Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-08-14T21:25:20.0484050Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-08-14T21:25:20.0801927Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-08-14T21:25:20.0936483Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-08-14T21:25:20.0950164Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:25:20.0975736Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-08-14T21:25:20.3787374Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-08-14T21:25:20.3955079Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-08-14T21:25:20.4321290Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-08-14T21:25:20.5196504Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-08-14T21:25:20.5355916Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-08-14T21:25:20.5665654Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-08-14T21:25:20.6199757Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-08-14T21:25:20.6580522Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-08-14T21:25:20.6925657Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-08-14T21:25:20.7925696Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-08-14T21:25:21.0886235Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-08-14T21:25:21.0915231Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-08-14T21:25:21.0939777Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-08-14T21:25:22.5203168Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-08-14T21:25:22.5771050Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-08-14T21:25:22.5783257Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:25:22.5784222Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:25:22.5789600Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:25:22.5790418Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:25:22.5791984Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:25:22.5793018Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:25:22.5793930Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:25:22.5797288Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:25:22.5821482Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-08-14T21:25:22.9911690Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-08-14T21:25:22.9912451Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-08-14T21:25:22.9913139Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-08-14T21:25:22.9913792Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-08-14T21:25:23.0913592Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-08-14T21:25:23.6356955Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-08-14T21:25:30.6756650Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-08-14T21:25:31.0361962Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-08-14T21:25:31.0723081Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-08-14T21:25:31.0884123Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-08-14T21:25:31.1814641Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-08-14T21:25:31.1947466Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-08-14T21:25:31.2089637Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-08-14T21:25:31.2230806Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-08-14T21:25:31.2243196Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:25:31.2244111Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:25:31.2275288Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-08-14T21:25:32.9336991Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'... 2025-08-14T21:25:33.1570573Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-08-14T21:25:33.1980959Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-08-14T21:25:33.5377445Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-08-14T21:25:33.5496599Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-08-14T21:25:33.7785952Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a' 2025-08-14T21:25:33.7806196Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:25:33.7806984Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest' 2025-08-14T21:25:33.7836588Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'... 2025-08-14T21:25:34.3002038Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'... 2025-08-14T21:25:34.9639460Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8' 2025-08-14T21:25:35.0293639Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081' 2025-08-14T21:25:35.0383589Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900' 2025-08-14T21:25:35.0498639Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8' 2025-08-14T21:25:35.0830164Z Submodule path 'third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-08-14T21:25:35.1081667Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67' 2025-08-14T21:25:35.1467144Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68' 2025-08-14T21:25:35.1701943Z Submodule path 'third_party/tensorpipe': checked out 'dacda0567d9f23d4bc503e1c4f84aa65f33ac38a' 2025-08-14T21:25:35.1716970Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:25:35.1717670Z Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:25:35.1718350Z Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:25:35.1719310Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:25:35.1746484Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/googletest'... 2025-08-14T21:25:36.1264213Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libnop'... 2025-08-14T21:25:36.1291937Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libuv'... 2025-08-14T21:25:36.3973188Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11'... 2025-08-14T21:25:36.4514684Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' 2025-08-14T21:25:36.4661926Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281' 2025-08-14T21:25:36.5328438Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b' 2025-08-14T21:25:36.5597829Z Submodule 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'third_party/XNNPACK' 2025-08-14T21:25:38.3592834Z Entering 'third_party/aiter' 2025-08-14T21:25:38.3635067Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:25:38.3686118Z Entering 'third_party/benchmark' 2025-08-14T21:25:38.3727910Z Entering 'third_party/composable_kernel' 2025-08-14T21:25:38.3779885Z Entering 'third_party/cpp-httplib' 2025-08-14T21:25:38.3823387Z Entering 'third_party/cpuinfo' 2025-08-14T21:25:38.3865594Z Entering 'third_party/cudnn_frontend' 2025-08-14T21:25:38.3904901Z Entering 'third_party/cutlass' 2025-08-14T21:25:38.3954607Z Entering 'third_party/fbgemm' 2025-08-14T21:25:38.3997812Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T21:25:38.4037925Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:25:38.4085288Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:25:38.4127225Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T21:25:38.4177733Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T21:25:38.4218449Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:25:38.4258845Z Entering 'third_party/fbgemm/external/json' 2025-08-14T21:25:38.4302276Z Entering 'third_party/flash-attention' 2025-08-14T21:25:38.4346102Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:25:38.4385912Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:25:38.4434265Z Entering 'third_party/flatbuffers' 2025-08-14T21:25:38.4474016Z Entering 'third_party/fmt' 2025-08-14T21:25:38.4513330Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:25:38.4563009Z Entering 'third_party/gloo' 2025-08-14T21:25:38.4603242Z Entering 'third_party/googletest' 2025-08-14T21:25:38.4645659Z Entering 'third_party/ideep' 2025-08-14T21:25:38.4689244Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T21:25:38.4738470Z Entering 'third_party/ittapi' 2025-08-14T21:25:38.4781938Z Entering 'third_party/kineto' 2025-08-14T21:25:38.4821607Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:25:38.4863261Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:25:38.4903958Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:25:38.4943922Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:25:38.4983581Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:25:38.5022927Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:25:38.5066110Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:25:38.5103978Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:25:38.5150378Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:25:38.5189773Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:25:38.5227021Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:25:38.5266562Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:25:38.5307508Z Entering 'third_party/kleidiai' 2025-08-14T21:25:38.5352528Z Entering 'third_party/mimalloc' 2025-08-14T21:25:38.5393989Z Entering 'third_party/nlohmann' 2025-08-14T21:25:38.5439929Z Entering 'third_party/onnx' 2025-08-14T21:25:38.5489260Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T21:25:38.5535047Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T21:25:38.5576083Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:25:38.5615082Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:25:38.5657488Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:25:38.5700216Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:25:38.5736393Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:25:38.5777824Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:25:38.5817850Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:25:38.5858098Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:25:38.5896594Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:25:38.5939155Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:25:38.5999895Z Entering 'third_party/pocketfft' 2025-08-14T21:25:38.6040002Z Entering 'third_party/protobuf' 2025-08-14T21:25:38.6080911Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:25:38.6117908Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T21:25:38.6166106Z Entering 'third_party/psimd' 2025-08-14T21:25:38.6201683Z Entering 'third_party/pthreadpool' 2025-08-14T21:25:38.6244999Z Entering 'third_party/pybind11' 2025-08-14T21:25:38.6279552Z Entering 'third_party/python-peachpy' 2025-08-14T21:25:38.6321814Z Entering 'third_party/sleef' 2025-08-14T21:25:38.6369193Z Entering 'third_party/tensorpipe' 2025-08-14T21:25:38.6407888Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:25:38.6451546Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:25:38.6487824Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:25:38.6529694Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:25:38.6570423Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:25:38.6642573Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-08-14T21:25:38.6952192Z Entering 'android/libs/fbjni' 2025-08-14T21:25:38.6993517Z Entering 'third_party/FP16' 2025-08-14T21:25:38.7039786Z Entering 'third_party/FXdiv' 2025-08-14T21:25:38.7080206Z Entering 'third_party/NNPACK' 2025-08-14T21:25:38.7119809Z Entering 'third_party/NVTX' 2025-08-14T21:25:38.7160336Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T21:25:38.7200145Z Entering 'third_party/XNNPACK' 2025-08-14T21:25:38.7252241Z Entering 'third_party/aiter' 2025-08-14T21:25:38.7293882Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:25:38.7340693Z Entering 'third_party/benchmark' 2025-08-14T21:25:38.7383107Z Entering 'third_party/composable_kernel' 2025-08-14T21:25:38.7435135Z Entering 'third_party/cpp-httplib' 2025-08-14T21:25:38.7476401Z Entering 'third_party/cpuinfo' 2025-08-14T21:25:38.7519947Z Entering 'third_party/cudnn_frontend' 2025-08-14T21:25:38.7566507Z Entering 'third_party/cutlass' 2025-08-14T21:25:38.7615374Z Entering 'third_party/fbgemm' 2025-08-14T21:25:38.7654917Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T21:25:38.7696308Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:25:38.7741934Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:25:38.7779560Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T21:25:38.7826300Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T21:25:38.7864120Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:25:38.7903866Z Entering 'third_party/fbgemm/external/json' 2025-08-14T21:25:38.7944915Z Entering 'third_party/flash-attention' 2025-08-14T21:25:38.7989914Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:25:38.8037906Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:25:38.8084094Z Entering 'third_party/flatbuffers' 2025-08-14T21:25:38.8126259Z Entering 'third_party/fmt' 2025-08-14T21:25:38.8169599Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:25:38.8209089Z Entering 'third_party/gloo' 2025-08-14T21:25:38.8251688Z Entering 'third_party/googletest' 2025-08-14T21:25:38.8292667Z Entering 'third_party/ideep' 2025-08-14T21:25:38.8335745Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T21:25:38.8384404Z Entering 'third_party/ittapi' 2025-08-14T21:25:38.8423385Z Entering 'third_party/kineto' 2025-08-14T21:25:38.8466923Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:25:38.8521532Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:25:38.8567083Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:25:38.8606481Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:25:38.8648984Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:25:38.8684792Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:25:38.8730167Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:25:38.8767297Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:25:38.8806359Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:25:38.8853030Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:25:38.8897271Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:25:38.8931380Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:25:38.8978364Z Entering 'third_party/kleidiai' 2025-08-14T21:25:38.9019976Z Entering 'third_party/mimalloc' 2025-08-14T21:25:38.9067595Z Entering 'third_party/nlohmann' 2025-08-14T21:25:38.9111424Z Entering 'third_party/onnx' 2025-08-14T21:25:38.9169667Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T21:25:38.9216060Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T21:25:38.9261702Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:25:38.9300257Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:25:38.9344872Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:25:38.9382964Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:25:38.9421696Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:25:38.9460657Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:25:38.9499306Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:25:38.9539755Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:25:38.9575865Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:25:38.9617860Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:25:38.9682955Z Entering 'third_party/pocketfft' 2025-08-14T21:25:38.9718746Z Entering 'third_party/protobuf' 2025-08-14T21:25:38.9762684Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:25:38.9801351Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T21:25:38.9848849Z Entering 'third_party/psimd' 2025-08-14T21:25:38.9893767Z Entering 'third_party/pthreadpool' 2025-08-14T21:25:38.9928546Z Entering 'third_party/pybind11' 2025-08-14T21:25:38.9975725Z Entering 'third_party/python-peachpy' 2025-08-14T21:25:39.0013401Z Entering 'third_party/sleef' 2025-08-14T21:25:39.0056543Z Entering 'third_party/tensorpipe' 2025-08-14T21:25:39.0090534Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:25:39.0128982Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:25:39.0168364Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:25:39.0209784Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:25:39.0255404Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:25:39.0304446Z ##[endgroup] 2025-08-14T21:25:39.0344020Z [command]/usr/bin/git log -1 --format=%H 2025-08-14T21:25:39.0371793Z 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:25:39.0536520Z Prepare all required actions 2025-08-14T21:25:39.0536997Z Getting action download info 2025-08-14T21:25:39.1981907Z ##[group]Run ./.github/actions/setup-linux 2025-08-14T21:25:39.1982157Z env: 2025-08-14T21:25:39.1982342Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:39.1982536Z ##[endgroup] 2025-08-14T21:25:39.2016519Z ##[group]Run set -euo pipefail 2025-08-14T21:25:39.2016775Z set -euo pipefail 2025-08-14T21:25:39.2016978Z function get_ec2_metadata() { 2025-08-14T21:25:39.2017228Z  # Pulled from instance metadata endpoint for EC2 2025-08-14T21:25:39.2017615Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-08-14T21:25:39.2017956Z  category=$1 2025-08-14T21:25:39.2018185Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-08-14T21:25:39.2018473Z  runner_name_str=i-07262e63ad92c7db0 2025-08-14T21:25:39.2018738Z  if [[ -f /.inarc ]]; then 2025-08-14T21:25:39.2018965Z  echo "ARC Runner, no info on ec2 metadata" 2025-08-14T21:25:39.2019213Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-08-14T21:25:39.2019506Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-08-14T21:25:39.2019761Z  else 2025-08-14T21:25:39.2020301Z  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}" 2025-08-14T21:25:39.2020849Z  fi 2025-08-14T21:25:39.2021013Z } 2025-08-14T21:25:39.2021201Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-08-14T21:25:39.2021486Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-08-14T21:25:39.2021806Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-08-14T21:25:39.2022084Z echo "system info $(uname -a)" 2025-08-14T21:25:39.2029056Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:39.2029305Z env: 2025-08-14T21:25:39.2029467Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:39.2029639Z ##[endgroup] 2025-08-14T21:25:39.2171456Z ami-id: ami-05ffe3c48a9991133 2025-08-14T21:25:39.2275911Z instance-id: i-07262e63ad92c7db0 2025-08-14T21:25:39.2363867Z instance-type: m7i-flex.8xlarge 2025-08-14T21:25:39.2375120Z system info Linux ip-10-0-63-173.ec2.internal 6.1.141-155.222.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 17 10:29:47 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-08-14T21:25:39.2391859Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:25:39.2392459Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:25:39.2397941Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:39.2398189Z env: 2025-08-14T21:25:39.2398346Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:39.2398539Z ##[endgroup] 2025-08-14T21:25:39.2439986Z ##[group]Run if systemctl is-active --quiet docker; then 2025-08-14T21:25:39.2440279Z if systemctl is-active --quiet docker; then 2025-08-14T21:25:39.2440529Z  echo "Docker daemon is running..."; 2025-08-14T21:25:39.2440742Z else 2025-08-14T21:25:39.2440969Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-08-14T21:25:39.2441229Z fi 2025-08-14T21:25:39.2445256Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:39.2445487Z env: 2025-08-14T21:25:39.2445642Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:39.2445816Z ##[endgroup] 2025-08-14T21:25:39.2517045Z Docker daemon is running... 2025-08-14T21:25:39.2546297Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-14T21:25:39.2546525Z with: 2025-08-14T21:25:39.2546691Z shell: bash 2025-08-14T21:25:39.2546993Z timeout_minutes: 5 2025-08-14T21:25:39.2547163Z max_attempts: 3 2025-08-14T21:25:39.2547322Z retry_wait_seconds: 30 2025-08-14T21:25:39.2548597Z command: AWS_ACCOUNT_ID=$(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 2025-08-14T21:25:39.2549937Z polling_interval_seconds: 1 2025-08-14T21:25:39.2550139Z warning_on_retry: true 2025-08-14T21:25:39.2550333Z continue_on_error: false 2025-08-14T21:25:39.2550520Z env: 2025-08-14T21:25:39.2550693Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:39.2550879Z AWS_RETRY_MODE: standard 2025-08-14T21:25:39.2551052Z AWS_MAX_ATTEMPTS: 5 2025-08-14T21:25:39.2551233Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:25:39.2551425Z ##[endgroup] 2025-08-14T21:25:40.2364521Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:25:40.2364938Z Configure a credential helper to remove this warning. See 2025-08-14T21:25:40.2365304Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:25:40.2365549Z 2025-08-14T21:25:40.2365618Z Login Succeeded 2025-08-14T21:25:40.3592407Z Command completed after 1 attempt(s). 2025-08-14T21:25:40.3650967Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:25:40.3651321Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:25:40.3651621Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:25:40.3659604Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:40.3659849Z env: 2025-08-14T21:25:40.3660010Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:40.3660189Z ##[endgroup] 2025-08-14T21:25:40.3727640Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:25:40.3728042Z # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:25:40.3728339Z # shellcheck disable=SC2046 2025-08-14T21:25:40.3728569Z docker stop $(docker ps -q) || true 2025-08-14T21:25:40.3728793Z # Prune all of the docker images 2025-08-14T21:25:40.3729023Z docker system prune -af 2025-08-14T21:25:40.3733475Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:40.3733708Z env: 2025-08-14T21:25:40.3733862Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:40.3734040Z ##[endgroup] 2025-08-14T21:25:40.4228765Z "docker stop" requires at least 1 argument. 2025-08-14T21:25:40.4229111Z See 'docker stop --help'. 2025-08-14T21:25:40.4229280Z 2025-08-14T21:25:40.4229415Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-08-14T21:25:40.4229599Z 2025-08-14T21:25:40.4229685Z Stop one or more running containers 2025-08-14T21:25:40.4408615Z Total reclaimed space: 0B 2025-08-14T21:25:40.4440101Z ##[group]Run set +e 2025-08-14T21:25:40.4440336Z set +e 2025-08-14T21:25:40.4440520Z set -x 2025-08-14T21:25:40.4440674Z  2025-08-14T21:25:40.4440842Z PT_DOMAIN=download.pytorch.org 2025-08-14T21:25:40.4441420Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-08-14T21:25:40.4441872Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-08-14T21:25:40.4442198Z # one is returned at random 2025-08-14T21:25:40.4442457Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-08-14T21:25:40.4442726Z  2025-08-14T21:25:40.4443015Z if [ -z "${RESOLVED_IP}" ]; then 2025-08-14T21:25:40.4443288Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-08-14T21:25:40.4443608Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-08-14T21:25:40.4443859Z  2025-08-14T21:25:40.4444026Z  if [ -z "${RESOLVED_IP}" ]; then 2025-08-14T21:25:40.4444269Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-08-14T21:25:40.4444503Z  exit 1 2025-08-14T21:25:40.4444667Z  fi 2025-08-14T21:25:40.4444812Z fi 2025-08-14T21:25:40.4444959Z  2025-08-14T21:25:40.4445137Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-08-14T21:25:40.4445368Z  # Clean up any old records first 2025-08-14T21:25:40.4445601Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-08-14T21:25:40.4445812Z fi 2025-08-14T21:25:40.4445957Z  2025-08-14T21:25:40.4446165Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-08-14T21:25:40.4446405Z cat /etc/hosts 2025-08-14T21:25:40.4451185Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:40.4451412Z env: 2025-08-14T21:25:40.4451564Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:40.4451739Z ##[endgroup] 2025-08-14T21:25:40.4473396Z + PT_DOMAIN=download.pytorch.org 2025-08-14T21:25:40.4483377Z ++ tail -n1 2025-08-14T21:25:40.4483754Z ++ dig -4 +short download.pytorch.org 2025-08-14T21:25:40.4887118Z + RESOLVED_IP=18.160.10.28 2025-08-14T21:25:40.4887418Z + '[' -z 18.160.10.28 ']' 2025-08-14T21:25:40.4887639Z + grep -r download.pytorch.org /etc/hosts 2025-08-14T21:25:40.4906125Z + sudo tee -a /etc/hosts 2025-08-14T21:25:40.4906421Z + echo '18.160.10.28 download.pytorch.org' 2025-08-14T21:25:40.7709935Z 18.160.10.28 download.pytorch.org 2025-08-14T21:25:40.7724710Z + cat /etc/hosts 2025-08-14T21:25:40.7751123Z 127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4 2025-08-14T21:25:40.7757398Z ::1 localhost6 localhost6.localdomain6 2025-08-14T21:25:40.7757726Z 18.160.10.28 download.pytorch.org 2025-08-14T21:25:40.7871410Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-08-14T21:25:40.7871742Z with: 2025-08-14T21:25:40.7872331Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:40.7872952Z use-custom-docker-registry: true 2025-08-14T21:25:40.7873186Z docker-build-dir: .ci/docker 2025-08-14T21:25:40.7873407Z docker-build-script: ./build.sh 2025-08-14T21:25:40.7873616Z working-directory: . 2025-08-14T21:25:40.7873871Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:40.7874149Z force-push: false 2025-08-14T21:25:40.7874342Z env: 2025-08-14T21:25:40.7874626Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:40.7874821Z ##[endgroup] 2025-08-14T21:25:40.7890552Z ##[group]Run set -ex 2025-08-14T21:25:40.7890834Z set -ex 2025-08-14T21:25:40.7891005Z  2025-08-14T21:25:40.7891356Z # If the docker build directory or the build script doesn't exist, the action will 2025-08-14T21:25:40.7891889Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-08-14T21:25:40.7892272Z # job could then download the pre-built image as usual 2025-08-14T21:25:40.7892748Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-08-14T21:25:40.7893249Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-08-14T21:25:40.7893478Z else 2025-08-14T21:25:40.7893679Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:25:40.7893992Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:25:40.7894281Z  2025-08-14T21:25:40.7894651Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-08-14T21:25:40.7895134Z  exit 0 2025-08-14T21:25:40.7895305Z fi 2025-08-14T21:25:40.7895457Z  2025-08-14T21:25:40.7895713Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-08-14T21:25:40.7896117Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-08-14T21:25:40.7896486Z  # use it as it is, but first let's extract the tag 2025-08-14T21:25:40.7896842Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-08-14T21:25:40.7897248Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:25:40.7897583Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:25:40.7897873Z else 2025-08-14T21:25:40.7898069Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-08-14T21:25:40.7898335Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-08-14T21:25:40.7898612Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-08-14T21:25:40.7898850Z  fi 2025-08-14T21:25:40.7899162Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-08-14T21:25:40.7899569Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:25:40.7899991Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:25:40.7900445Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:25:40.7900742Z fi 2025-08-14T21:25:40.7907946Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:40.7908210Z env: 2025-08-14T21:25:40.7908394Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:40.7908592Z REPO_NAME: pytorch 2025-08-14T21:25:40.7909279Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:40.7909882Z DOCKER_BUILD_DIR: .ci/docker 2025-08-14T21:25:40.7910098Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-08-14T21:25:40.7910380Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:40.7910654Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-08-14T21:25:40.7910864Z CUSTOM_TAG_PREFIX: 2025-08-14T21:25:40.7911046Z ##[endgroup] 2025-08-14T21:25:40.7941574Z + [[ -d .ci/docker ]] 2025-08-14T21:25:40.7941839Z + [[ -f .ci/docker/./build.sh ]] 2025-08-14T21:25:40.7942066Z + [[ true == \t\r\u\e ]] 2025-08-14T21:25:40.7942252Z + echo skip=false 2025-08-14T21:25:40.7942999Z + [[ 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* ]] 2025-08-14T21:25:40.7952572Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:40.7953376Z ++ awk -F '[:,]' '{print $2}' 2025-08-14T21:25:40.7980292Z + DOCKER_TAG=pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:40.7981008Z + echo docker-tag=pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:40.7981975Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:40.8001875Z ##[group]Run set +e 2025-08-14T21:25:40.8002108Z set +e 2025-08-14T21:25:40.8002299Z set -x 2025-08-14T21:25:40.8002457Z  2025-08-14T21:25:40.8002617Z login() { 2025-08-14T21:25:40.8002952Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-08-14T21:25:40.8003301Z } 2025-08-14T21:25:40.8003459Z  2025-08-14T21:25:40.8003616Z retry () { 2025-08-14T21:25:40.8003808Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-08-14T21:25:40.8004031Z } 2025-08-14T21:25:40.8004185Z  2025-08-14T21:25:40.8004346Z retry login "${DOCKER_REGISTRY}" 2025-08-14T21:25:40.8004559Z  2025-08-14T21:25:40.8004718Z START_TIME=$(date +%s) 2025-08-14T21:25:40.8004933Z # Wait up to 120 minutes 2025-08-14T21:25:40.8005187Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-08-14T21:25:40.8005518Z  # Check if image already exists, if it does then skip building it 2025-08-14T21:25:40.8005865Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-08-14T21:25:40.8006103Z  exit 0 2025-08-14T21:25:40.8006277Z  fi 2025-08-14T21:25:40.8006439Z  2025-08-14T21:25:40.8006698Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-08-14T21:25:40.8007127Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-08-14T21:25:40.8007553Z  # latter, it will wait for the Docker images to become available before continuing 2025-08-14T21:25:40.8007905Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-08-14T21:25:40.8008178Z  # It's a Docker build job, let's build the image 2025-08-14T21:25:40.8008420Z  break 2025-08-14T21:25:40.8008590Z  else 2025-08-14T21:25:40.8008831Z  # It's a regular build job, wait for the image to become available 2025-08-14T21:25:40.8009100Z  sleep 300 2025-08-14T21:25:40.8009287Z  fi 2025-08-14T21:25:40.8009448Z done 2025-08-14T21:25:40.8009638Z  2025-08-14T21:25:40.8009875Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-08-14T21:25:40.8010380Z # be empty. The default action would be to continue rebuild the image 2025-08-14T21:25:40.8010729Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-08-14T21:25:40.8011044Z  # if we're on the base branch then use the parent commit 2025-08-14T21:25:40.8011317Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-08-14T21:25:40.8011537Z else 2025-08-14T21:25:40.8011770Z  # otherwise we're on a PR, so use the most recent base commit 2025-08-14T21:25:40.8012091Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-08-14T21:25:40.8012328Z fi 2025-08-14T21:25:40.8012486Z  2025-08-14T21:25:40.8012662Z if [[ -z "${MERGE_BASE}" ]]; then 2025-08-14T21:25:40.8012978Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:25:40.8013209Z  2025-08-14T21:25:40.8013525Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-08-14T21:25:40.8013878Z  exit 0 2025-08-14T21:25:40.8014046Z fi 2025-08-14T21:25:40.8014204Z  2025-08-14T21:25:40.8014417Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-08-14T21:25:40.8014861Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-08-14T21:25:40.8015248Z  exit 1 2025-08-14T21:25:40.8015407Z fi 2025-08-14T21:25:40.8015551Z  2025-08-14T21:25:40.8015800Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-08-14T21:25:40.8016228Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-08-14T21:25:40.8016617Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-08-14T21:25:40.8017045Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-08-14T21:25:40.8017530Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-08-14T21:25:40.8017833Z fi 2025-08-14T21:25:40.8017980Z  2025-08-14T21:25:40.8018171Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:25:40.8023201Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:40.8023469Z env: 2025-08-14T21:25:40.8023635Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:40.8023841Z DOCKER_BUILD_DIR: .ci/docker 2025-08-14T21:25:40.8024093Z BASE_REVISION: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:25:40.8024739Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:40.8025783Z DOCKER_TAG: pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:40.8026305Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:40.8027509Z DOCKER_PUSH: 2025-08-14T21:25:40.8027704Z ##[endgroup] 2025-08-14T21:25:40.8050628Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:40.8050988Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:40.8053345Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:25:40.8054105Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:41.2548635Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:25:41.2549100Z Configure a credential helper to remove this warning. See 2025-08-14T21:25:41.2549515Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:25:41.2549859Z 2025-08-14T21:25:41.2551404Z Login Succeeded 2025-08-14T21:25:41.2567452Z ++ date +%s 2025-08-14T21:25:41.2577146Z + START_TIME=1755206741 2025-08-14T21:25:41.2582021Z ++ date +%s 2025-08-14T21:25:41.2615871Z + [[ 1755199541 -lt 1755206741 ]] 2025-08-14T21:25:41.2616653Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:41.5052754Z { 2025-08-14T21:25:41.5053047Z "schemaVersion": 2, 2025-08-14T21:25:41.5053405Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-08-14T21:25:41.5053727Z "config": { 2025-08-14T21:25:41.5053981Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-08-14T21:25:41.5054253Z "size": 30151, 2025-08-14T21:25:41.5054548Z "digest": 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"sha256:9fb73296da6ac15f37f36663bd10afc98abb8a01fb40bff4848de7247d28e018" 2025-08-14T21:25:41.5146310Z }, 2025-08-14T21:25:41.5146503Z { 2025-08-14T21:25:41.5146725Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:25:41.5146998Z "size": 32, 2025-08-14T21:25:41.5147249Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-08-14T21:25:41.5147538Z } 2025-08-14T21:25:41.5147678Z ] 2025-08-14T21:25:41.5147813Z } 2025-08-14T21:25:41.5147986Z + exit 0 2025-08-14T21:25:41.5168347Z ##[group]Run set -eux 2025-08-14T21:25:41.5168560Z set -eux 2025-08-14T21:25:41.5169098Z 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 2025-08-14T21:25:41.5176236Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:41.5176486Z env: 2025-08-14T21:25:41.5176647Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:41.5176838Z ##[endgroup] 2025-08-14T21:25:41.5201794Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-08-14T21:25:41.5202163Z + jq --raw-output .SecretString 2025-08-14T21:25:41.5202380Z + jq -r .docker_hub_readonly_token 2025-08-14T21:25:41.5202855Z + docker login --username pytorchbot --password-stdin 2025-08-14T21:25:41.9911358Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:25:41.9911948Z Configure a credential helper to remove this warning. See 2025-08-14T21:25:41.9912347Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:25:41.9912717Z 2025-08-14T21:25:41.9914782Z Login Succeeded 2025-08-14T21:25:41.9992377Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-08-14T21:25:41.9992644Z tag=${ECR_DOCKER_IMAGE##*:} 2025-08-14T21:25:41.9992904Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-08-14T21:25:41.9997508Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:41.9997753Z env: 2025-08-14T21:25:41.9997928Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:41.9998483Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:41.9999023Z ##[endgroup] 2025-08-14T21:25:42.0023876Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:42.0056945Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-08-14T21:25:42.0057293Z with: 2025-08-14T21:25:42.0057937Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:42.0058720Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:42.0059034Z env: 2025-08-14T21:25:42.0059223Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:42.0059438Z ##[endgroup] 2025-08-14T21:25:42.0071641Z ##[group]Run set -x 2025-08-14T21:25:42.0071877Z set -x 2025-08-14T21:25:42.0072068Z set +e 2025-08-14T21:25:42.0072252Z  2025-08-14T21:25:42.0072428Z login() { 2025-08-14T21:25:42.0072817Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-08-14T21:25:42.0073222Z } 2025-08-14T21:25:42.0073397Z  2025-08-14T21:25:42.0073636Z retry () { 2025-08-14T21:25:42.0073872Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-08-14T21:25:42.0074121Z } 2025-08-14T21:25:42.0074292Z  2025-08-14T21:25:42.0074483Z retry login "${DOCKER_REGISTRY}" 2025-08-14T21:25:42.0074716Z  2025-08-14T21:25:42.0075091Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-08-14T21:25:42.0075602Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-08-14T21:25:42.0076005Z  2025-08-14T21:25:42.0076182Z set -e 2025-08-14T21:25:42.0076468Z # ignore output since only exit code is used for conditional 2025-08-14T21:25:42.0076857Z # only pull docker image if it's not available locally 2025-08-14T21:25:42.0077280Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-08-14T21:25:42.0077682Z  retry docker pull "${DOCKER_IMAGE}" 2025-08-14T21:25:42.0077946Z fi 2025-08-14T21:25:42.0082916Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:42.0083225Z env: 2025-08-14T21:25:42.0083423Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:42.0084120Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:42.0085015Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:42.0085349Z ##[endgroup] 2025-08-14T21:25:42.0107351Z + set +e 2025-08-14T21:25:42.0107881Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:42.0108627Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:42.0114282Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:25:42.0114865Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:42.4524230Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:25:42.4524692Z Configure a credential helper to remove this warning. See 2025-08-14T21:25:42.4525092Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:25:42.4525348Z 2025-08-14T21:25:42.4525429Z Login Succeeded 2025-08-14T21:25:42.4552876Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:42.4553628Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-08-14T21:25:42.6862273Z + IMAGE_SIZE=27663.483686447144 2025-08-14T21:25:42.6862609Z Compressed size of image in MB: 27663.483686447144 2025-08-14T21:25:42.6862928Z + echo 'Compressed size of image in MB: 27663.483686447144' 2025-08-14T21:25:42.6863205Z + set -e 2025-08-14T21:25:42.6864259Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:42.6991838Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:42.6992859Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:42.9203419Z pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe: Pulling from pytorch/ci-image 2025-08-14T21:25:42.9204123Z 660ffc76f83b: Pulling fs layer 2025-08-14T21:25:42.9204358Z c7b4a852a455: Pulling fs layer 2025-08-14T21:25:42.9204561Z e5a28988c893: Pulling fs layer 2025-08-14T21:25:42.9204769Z 76a69b57b683: Pulling fs layer 2025-08-14T21:25:42.9204995Z 5c785dcb4cdb: Pulling fs layer 2025-08-14T21:25:42.9205199Z 836ab08052e8: Pulling fs layer 2025-08-14T21:25:42.9205396Z 53b11c77468c: Pulling fs layer 2025-08-14T21:25:42.9205584Z e97311a6a967: Pulling fs layer 2025-08-14T21:25:42.9205799Z 2c414689d31d: Pulling fs layer 2025-08-14T21:25:42.9206012Z 6d89b5f065d5: Pulling fs layer 2025-08-14T21:25:42.9206220Z 5a5cc76ada43: Pulling fs layer 2025-08-14T21:25:42.9206441Z fc6b37d40530: Pulling fs layer 2025-08-14T21:25:42.9206650Z 2e1657907860: Pulling fs layer 2025-08-14T21:25:42.9206849Z 7b92d7a4b8c7: Pulling fs layer 2025-08-14T21:25:42.9207042Z 4f4fb700ef54: Pulling fs layer 2025-08-14T21:25:42.9207224Z d6226eb61f82: Pulling fs layer 2025-08-14T21:25:42.9207683Z 83c70f4266a6: Pulling fs layer 2025-08-14T21:25:42.9207876Z 60c725d21861: Pulling fs layer 2025-08-14T21:25:42.9208059Z a504e76e66a4: Pulling fs layer 2025-08-14T21:25:42.9208259Z fc1c200a4f77: Pulling fs layer 2025-08-14T21:25:42.9208454Z 43273c22704f: Pulling fs layer 2025-08-14T21:25:42.9208645Z 89df389d042a: Pulling fs layer 2025-08-14T21:25:42.9208831Z 684349f50d94: Pulling fs layer 2025-08-14T21:25:42.9209032Z 21d0eae87fb3: Pulling fs layer 2025-08-14T21:25:42.9209229Z 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53b11c77468c: Verifying Checksum 2025-08-14T21:25:43.3800710Z 53b11c77468c: Download complete 2025-08-14T21:25:43.4471737Z e97311a6a967: Download complete 2025-08-14T21:25:43.5535305Z 6d89b5f065d5: Verifying Checksum 2025-08-14T21:25:43.5535707Z 6d89b5f065d5: Download complete 2025-08-14T21:25:43.6455330Z 5a5cc76ada43: Verifying Checksum 2025-08-14T21:25:43.6455650Z 5a5cc76ada43: Download complete 2025-08-14T21:25:43.7212177Z fc6b37d40530: Download complete 2025-08-14T21:25:43.7995140Z 2e1657907860: Verifying Checksum 2025-08-14T21:25:43.7998358Z 2e1657907860: Download complete 2025-08-14T21:25:44.4244848Z 660ffc76f83b: Pull complete 2025-08-14T21:25:44.4375175Z c7b4a852a455: Pull complete 2025-08-14T21:25:44.5555161Z 2c414689d31d: Verifying Checksum 2025-08-14T21:25:44.5555471Z 2c414689d31d: Download complete 2025-08-14T21:25:44.5624328Z 4f4fb700ef54: Verifying Checksum 2025-08-14T21:25:44.5624616Z 4f4fb700ef54: Download complete 2025-08-14T21:25:44.6334721Z d6226eb61f82: Download 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308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:35:21.7031143Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:35:21.7117320Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:35:21.7117941Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:35:21.7126532Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:21.7127041Z env: 2025-08-14T21:35:21.7127221Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:21.7127422Z ##[endgroup] 2025-08-14T21:35:21.7207362Z Prepare all required actions 2025-08-14T21:35:21.7240152Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-08-14T21:35:21.7240442Z with: 2025-08-14T21:35:21.7241016Z github-token: *** 2025-08-14T21:35:21.7241219Z env: 2025-08-14T21:35:21.7241383Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:21.7241584Z ##[endgroup] 2025-08-14T21:35:21.7283672Z ##[group]Run set -eux 2025-08-14T21:35:21.7283899Z set -eux 2025-08-14T21:35:21.7284204Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-08-14T21:35:21.7289460Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:21.7289761Z env: 2025-08-14T21:35:21.7289946Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:21.7290354Z GITHUB_TOKEN: *** 2025-08-14T21:35:21.7290565Z ##[endgroup] 2025-08-14T21:35:21.7317399Z + python3 .github/scripts/get_workflow_job_id.py 16976338999 i-07262e63ad92c7db0 2025-08-14T21:35:23.4829546Z Setting output job-id=48128301882 2025-08-14T21:35:23.4833634Z Setting output job-name=linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (dynamic_cpu_inductor_timm, 1, 2, linux.8xlarge.amx) 2025-08-14T21:35:23.4944706Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-08-14T21:35:23.4945664Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-08-14T21:35:23.4946284Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-08-14T21:35:23.4946811Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:35:23.4951686Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:23.4951954Z env: 2025-08-14T21:35:23.4952129Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:23.4952318Z JOB_ID: 48128301882 2025-08-14T21:35:23.4952741Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (dynamic_cpu_inductor_timm, 1, 2, linux.8xlarge.amx) 2025-08-14T21:35:23.4953203Z WORKFLOW_NAME: inductor-periodic 2025-08-14T21:35:23.4953469Z WORKFLOW_RUN_ID: 16976338999 2025-08-14T21:35:23.4953675Z MONITOR_LOG_INTERVAL: 5 2025-08-14T21:35:23.4953877Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-08-14T21:35:23.4954086Z ##[endgroup] 2025-08-14T21:35:24.1352087Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:35:24.4349602Z Collecting psutil==5.9.8 2025-08-14T21:35:24.4503811Z 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) 2025-08-14T21:35:24.5453279Z Collecting dataclasses_json==0.6.7 2025-08-14T21:35:24.5489829Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-08-14T21:35:24.6019484Z Collecting nvidia-ml-py==11.525.84 2025-08-14T21:35:24.6056310Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-08-14T21:35:24.6442642Z Collecting typing-inspect<1,>=0.4.0 2025-08-14T21:35:24.6471998Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-08-14T21:35:24.7857424Z Collecting marshmallow<4.0.0,>=3.18.0 2025-08-14T21:35:24.7913270Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-08-14T21:35:24.9003733Z Collecting packaging>=17.0 2025-08-14T21:35:24.9042544Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-08-14T21:35:24.9849280Z Collecting mypy-extensions>=0.3.0 2025-08-14T21:35:24.9960208Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-08-14T21:35:25.0977817Z Collecting typing-extensions>=3.7.4 2025-08-14T21:35:25.1009119Z Downloading typing_extensions-4.14.1-py3-none-any.whl (43 kB) 2025-08-14T21:35:25.3047638Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-08-14T21:35:25.8707961Z 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 2025-08-14T21:35:26.1265825Z Prepare all required actions 2025-08-14T21:35:26.1266196Z Getting action download info 2025-08-14T21:35:26.2433445Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-08-14T21:35:26.7863975Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-08-14T21:35:28.3176598Z ##[group]Run ./.github/actions/download-build-artifacts 2025-08-14T21:35:28.3176859Z with: 2025-08-14T21:35:28.3177045Z name: linux-jammy-py3.9-gcc11-build 2025-08-14T21:35:28.3177267Z s3-bucket: gha-artifacts 2025-08-14T21:35:28.3177457Z env: 2025-08-14T21:35:28.3177619Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:28.3177796Z ##[endgroup] 2025-08-14T21:35:28.3216083Z ##[group]Run seemethere/download-artifact-s3@v4 2025-08-14T21:35:28.3216335Z with: 2025-08-14T21:35:28.3216525Z name: linux-jammy-py3.9-gcc11-build 2025-08-14T21:35:28.3216757Z s3-bucket: gha-artifacts 2025-08-14T21:35:28.3217004Z region: us-east-1 2025-08-14T21:35:28.3217171Z env: 2025-08-14T21:35:28.3217338Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:28.3217546Z ##[endgroup] 2025-08-14T21:35:28.7330318Z (node:47913) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-08-14T21:35:28.7330704Z 2025-08-14T21:35:28.7330863Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-08-14T21:35:28.7331258Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-08-14T21:35:28.7331681Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-08-14T21:35:29.0091238Z Found 1 objects with prefix pytorch/pytorch/16976338999/linux-jammy-py3.9-gcc11-build/ 2025-08-14T21:35:29.0091771Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-08-14T21:35:33.6151929Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-08-14T21:35:33.6157418Z Artifact download has finished successfully 2025-08-14T21:35:33.6354866Z ##[group]Run unzip -o artifacts.zip 2025-08-14T21:35:33.6355110Z unzip -o artifacts.zip 2025-08-14T21:35:33.6360386Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:33.6360626Z env: 2025-08-14T21:35:33.6360784Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:33.6360964Z ##[endgroup] 2025-08-14T21:35:33.6424442Z Archive: artifacts.zip 2025-08-14T21:35:33.6424853Z creating: dist/ 2025-08-14T21:35:34.7652470Z inflating: dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl 2025-08-14T21:35:34.7652823Z creating: dist/vision/ 2025-08-14T21:35:34.7735847Z inflating: dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:35:34.7736314Z creating: dist/audio/ 2025-08-14T21:35:34.7839810Z inflating: dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl 2025-08-14T21:35:34.7840402Z creating: dist/ao/ 2025-08-14T21:35:34.7880759Z 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build/bin/test_api 2025-08-14T21:35:40.7035866Z inflating: build/bin/parallel_benchmark 2025-08-14T21:35:40.7368784Z inflating: build/bin/test_lazy 2025-08-14T21:35:40.7372617Z inflating: build/bin/torch_shm_manager 2025-08-14T21:35:40.7372944Z creating: .additional_ci_files/ 2025-08-14T21:35:40.7449910Z inflating: .additional_ci_files/test-times.json 2025-08-14T21:35:40.7744216Z inflating: .additional_ci_files/test-class-times.json 2025-08-14T21:35:40.7768673Z ##[group]Run rm artifacts.zip 2025-08-14T21:35:40.7768950Z rm artifacts.zip 2025-08-14T21:35:40.7773812Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:40.7774063Z env: 2025-08-14T21:35:40.7774225Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:40.7774411Z ##[endgroup] 2025-08-14T21:35:40.8112813Z ##[group]Run df -H 2025-08-14T21:35:40.8113019Z df -H 2025-08-14T21:35:40.8117865Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:40.8118112Z env: 2025-08-14T21:35:40.8118291Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:40.8118476Z ##[endgroup] 2025-08-14T21:35:40.8159270Z Filesystem Size Used Avail Use% Mounted on 2025-08-14T21:35:40.8160000Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-08-14T21:35:40.8160273Z tmpfs 67G 0 67G 0% /dev/shm 2025-08-14T21:35:40.8160523Z tmpfs 27G 791k 27G 1% /run 2025-08-14T21:35:40.8160781Z /dev/nvme0n1p1 215G 69G 147G 32% / 2025-08-14T21:35:40.8161151Z tmpfs 67G 13k 67G 1% /tmp 2025-08-14T21:35:40.8161424Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-08-14T21:35:40.8187821Z Prepare all required actions 2025-08-14T21:35:40.8188728Z Getting action download info 2025-08-14T21:35:40.9296873Z ##[group]Run ./.github/actions/download-td-artifacts 2025-08-14T21:35:40.9297141Z with: 2025-08-14T21:35:40.9297296Z env: 2025-08-14T21:35:40.9297466Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:40.9297673Z ##[endgroup] 2025-08-14T21:35:40.9705534Z ##[group]Run seemethere/download-artifact-s3@v4 2025-08-14T21:35:40.9705808Z with: 2025-08-14T21:35:40.9705980Z name: td_results 2025-08-14T21:35:40.9706170Z s3-bucket: gha-artifacts 2025-08-14T21:35:40.9706393Z region: us-east-1 2025-08-14T21:35:40.9706562Z env: 2025-08-14T21:35:40.9706719Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:40.9706896Z ##[endgroup] 2025-08-14T21:35:41.3325277Z (node:47933) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-08-14T21:35:41.3325631Z 2025-08-14T21:35:41.3325899Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-08-14T21:35:41.3326308Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-08-14T21:35:41.3326948Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-08-14T21:35:41.4212555Z Found 0 objects with prefix pytorch/pytorch/16976338999/td_results/ 2025-08-14T21:35:41.4219546Z Artifact download has finished successfully 2025-08-14T21:35:41.4419939Z ##[group]Run mkdir -p .additional_ci_files 2025-08-14T21:35:41.4420207Z mkdir -p .additional_ci_files 2025-08-14T21:35:41.4420477Z mv td_results.json .additional_ci_files/td_results.json || true 2025-08-14T21:35:41.4426439Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:41.4427080Z env: 2025-08-14T21:35:41.4427256Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:41.4427450Z ##[endgroup] 2025-08-14T21:35:41.4475880Z mv: cannot stat 'td_results.json': No such file or directory 2025-08-14T21:35:41.4501608Z ##[group]Run .github/scripts/parse_ref.py 2025-08-14T21:35:41.4501882Z .github/scripts/parse_ref.py 2025-08-14T21:35:41.4506592Z shell: /usr/bin/bash -e {0} 2025-08-14T21:35:41.4506794Z env: 2025-08-14T21:35:41.4506961Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:41.4507145Z ##[endgroup] 2025-08-14T21:35:41.4701478Z Setting output branch=main 2025-08-14T21:35:41.4795619Z Prepare all required actions 2025-08-14T21:35:41.4795983Z Getting action download info 2025-08-14T21:35:41.5873903Z ##[group]Run ./.github/actions/filter-test-configs 2025-08-14T21:35:41.5874206Z with: 2025-08-14T21:35:41.5874598Z github-token: *** 2025-08-14T21:35:41.5877228Z test-matrix: {"include": [{"config": "cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_timm", "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": "cpu_inductor_freezing_avx2_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_timm", "shard": 1, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_timm", "shard": 2, "num_shards": 2, "runner": "linux.10xlarge.avx2"}]} 2025-08-14T21:35:41.5880432Z job-name: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (dynamic_cpu_inductor_timm, 1, 2, linux.8xlarge.amx) 2025-08-14T21:35:41.5880936Z env: 2025-08-14T21:35:41.5881129Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:41.5881349Z ##[endgroup] 2025-08-14T21:35:41.5914152Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-14T21:35:41.5914416Z with: 2025-08-14T21:35:41.5914607Z shell: bash 2025-08-14T21:35:41.5914809Z timeout_minutes: 10 2025-08-14T21:35:41.5915014Z max_attempts: 5 2025-08-14T21:35:41.5915242Z retry_wait_seconds: 30 2025-08-14T21:35:41.5915844Z 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 2025-08-14T21:35:41.5916452Z polling_interval_seconds: 1 2025-08-14T21:35:41.5916693Z warning_on_retry: true 2025-08-14T21:35:41.5916915Z continue_on_error: false 2025-08-14T21:35:41.5917139Z env: 2025-08-14T21:35:41.5917326Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:41.5917702Z GITHUB_TOKEN: *** 2025-08-14T21:35:41.5917912Z ##[endgroup] 2025-08-14T21:35:41.8120046Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-08-14T21:35:41.9995206Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:35:42.1051913Z Collecting requests==2.27.1 2025-08-14T21:35:42.1204477Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-08-14T21:35:42.3219209Z Collecting pyyaml==6.0.2 2025-08-14T21:35:42.3259811Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-08-14T21:35:42.7409265Z Collecting charset-normalizer~=2.0.0 2025-08-14T21:35:42.7444297Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-08-14T21:35:42.8129331Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-08-14T21:35:42.9117314Z Collecting certifi>=2017.4.17 2025-08-14T21:35:42.9152018Z Downloading certifi-2025.8.3-py3-none-any.whl (161 kB) 2025-08-14T21:35:42.9960369Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-08-14T21:35:43.0620167Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-08-14T21:35:43.5888532Z Successfully installed certifi-2025.8.3 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-08-14T21:35:44.6587017Z Command completed after 1 attempt(s). 2025-08-14T21:35:44.6644443Z ##[group]Run set -x 2025-08-14T21:35:44.6644665Z set -x 2025-08-14T21:35:44.6644833Z  2025-08-14T21:35:44.6645106Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-08-14T21:35:44.6645421Z # in runner workspace 2025-08-14T21:35:44.6645714Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-08-14T21:35:44.6651256Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:44.6651507Z env: 2025-08-14T21:35:44.6651679Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:44.6651873Z ##[endgroup] 2025-08-14T21:35:44.6676239Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-08-14T21:35:44.6823773Z Setting output branch=main 2025-08-14T21:35:44.6869873Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-08-14T21:35:44.6870160Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-08-14T21:35:44.6870404Z echo "Job name: ${JOB_NAME}" 2025-08-14T21:35:44.6870594Z  2025-08-14T21:35:44.6870844Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-08-14T21:35:44.6871139Z # in runner workspace 2025-08-14T21:35:44.6871412Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-08-14T21:35:44.6871839Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-08-14T21:35:44.6872064Z  --job-name "${JOB_NAME}" \ 2025-08-14T21:35:44.6874260Z  --test-matrix "{"include": [{"config": "cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_timm", "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": "cpu_inductor_freezing_avx2_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_timm", "shard": 1, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_timm", "shard": 2, "num_shards": 2, "runner": "linux.10xlarge.avx2"}]}" \ 2025-08-14T21:35:44.6876639Z  --selected-test-configs "" \ 2025-08-14T21:35:44.6876872Z  --pr-number "${PR_NUMBER}" \ 2025-08-14T21:35:44.6877090Z  --tag "${TAG}" \ 2025-08-14T21:35:44.6877288Z  --event-name "${EVENT_NAME}" \ 2025-08-14T21:35:44.6877515Z  --schedule "${SCHEDULE}" \ 2025-08-14T21:35:44.6877732Z  --branch "${HEAD_BRANCH}" 2025-08-14T21:35:44.6882346Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:44.6882602Z env: 2025-08-14T21:35:44.6882770Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:44.6883299Z GITHUB_TOKEN: *** 2025-08-14T21:35:44.6883718Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (dynamic_cpu_inductor_timm, 1, 2, linux.8xlarge.amx) 2025-08-14T21:35:44.6884124Z PR_NUMBER: 2025-08-14T21:35:44.6884282Z TAG: 2025-08-14T21:35:44.6884425Z EVENT_NAME: schedule 2025-08-14T21:35:44.6884604Z SCHEDULE: 45 0,4,8,12,16,20 * * 1-5 2025-08-14T21:35:44.6884802Z HEAD_BRANCH: main 2025-08-14T21:35:44.6884968Z ##[endgroup] 2025-08-14T21:35:44.6908865Z Workflow: inductor-periodic 2025-08-14T21:35:44.6909595Z Job name: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (dynamic_cpu_inductor_timm, 1, 2, linux.8xlarge.amx) 2025-08-14T21:35:44.8361507Z Setting output keep-going=True 2025-08-14T21:35:44.8365301Z Setting output ci-verbose-test-logs=False 2025-08-14T21:35:44.8367542Z Setting output ci-test-showlocals=False 2025-08-14T21:35:44.8367805Z Setting output ci-no-test-timeout=False 2025-08-14T21:35:44.8368044Z Setting output ci-no-td=False 2025-08-14T21:35:44.8368307Z Setting output ci-td-distributed=False 2025-08-14T21:35:44.8368527Z Setting output is-unstable=False 2025-08-14T21:35:44.8368770Z Setting output reenabled-issues= 2025-08-14T21:35:44.8371051Z Setting output test-matrix={"include": [{"config": "cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_timm", "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": "cpu_inductor_freezing_avx2_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_timm", "shard": 1, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_timm", "shard": 2, "num_shards": 2, "runner": "linux.10xlarge.avx2"}]} 2025-08-14T21:35:44.8374036Z Setting output is-test-matrix-empty=False 2025-08-14T21:35:44.8503087Z ##[group]Run echo "Filtered matrix:" 2025-08-14T21:35:44.8503354Z echo "Filtered matrix:" 2025-08-14T21:35:44.8505726Z echo "{"include": [{"config": "cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_timm", "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": "cpu_inductor_freezing_avx2_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_timm", "shard": 1, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_timm", "shard": 2, "num_shards": 2, "runner": "linux.10xlarge.avx2"}]}" 2025-08-14T21:35:44.8508307Z  2025-08-14T21:35:44.8508470Z echo 2025-08-14T21:35:44.8508680Z echo "Is the current job unstable? False" 2025-08-14T21:35:44.8508909Z  2025-08-14T21:35:44.8509061Z echo 2025-08-14T21:35:44.8509253Z echo "Is keep-going label set? True" 2025-08-14T21:35:44.8509467Z  2025-08-14T21:35:44.8509614Z echo 2025-08-14T21:35:44.8509791Z echo "Reenabled issues? " 2025-08-14T21:35:44.8514744Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:44.8515011Z env: 2025-08-14T21:35:44.8515184Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:44.8515376Z ##[endgroup] 2025-08-14T21:35:44.8541141Z Filtered matrix: 2025-08-14T21:35:44.8543951Z {include: [{config: cpu_inductor_huggingface, shard: 1, num_shards: 1, runner: linux.8xlarge.amx}, {config: cpu_inductor_timm, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_inductor_timm, 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: cpu_inductor_freezing_avx2_huggingface, shard: 1, num_shards: 1, runner: linux.10xlarge.avx2}, {config: cpu_inductor_freezing_avx2_torchbench, shard: 1, num_shards: 2, runner: linux.10xlarge.avx2}, {config: cpu_inductor_freezing_avx2_torchbench, shard: 2, num_shards: 2, runner: linux.10xlarge.avx2}, {config: cpu_inductor_freezing_avx2_timm, shard: 1, num_shards: 2, runner: linux.10xlarge.avx2}, {config: cpu_inductor_freezing_avx2_timm, shard: 2, num_shards: 2, runner: linux.10xlarge.avx2}]} 2025-08-14T21:35:44.8546733Z 2025-08-14T21:35:44.8546855Z Is the current job unstable? False 2025-08-14T21:35:44.8547033Z 2025-08-14T21:35:44.8547163Z Is keep-going label set? True 2025-08-14T21:35:44.8547309Z 2025-08-14T21:35:44.8547401Z Reenabled issues? 2025-08-14T21:35:44.8679582Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-08-14T21:35:44.8679977Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-08-14T21:35:44.8685355Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:44.8685605Z env: 2025-08-14T21:35:44.8685785Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:44.8685969Z JOB_TIMEOUT: 240 2025-08-14T21:35:44.8686127Z ##[endgroup] 2025-08-14T21:35:45.0451602Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:35:45.0452001Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:35:45.0452320Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:35:45.0457117Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:45.0457376Z env: 2025-08-14T21:35:45.0457555Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:45.0457740Z ##[endgroup] 2025-08-14T21:35:45.0638892Z ##[group]Run set -x 2025-08-14T21:35:45.0639157Z set -x 2025-08-14T21:35:45.0639312Z  2025-08-14T21:35:45.0639487Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-08-14T21:35:45.0639750Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-08-14T21:35:45.0640043Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-08-14T21:35:45.0640291Z  TEST_COMMAND=.ci/onnx/test.sh 2025-08-14T21:35:45.0640501Z else 2025-08-14T21:35:45.0640689Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-08-14T21:35:45.0640894Z fi 2025-08-14T21:35:45.0641045Z  2025-08-14T21:35:45.0641234Z # Leaving 1GB for the runner and other things 2025-08-14T21:35:45.0641607Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-08-14T21:35:45.0642191Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-08-14T21:35:45.0642643Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-08-14T21:35:45.0643002Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-08-14T21:35:45.0643261Z  2025-08-14T21:35:45.0643461Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-08-14T21:35:45.0643766Z  SHM_OPTS= 2025-08-14T21:35:45.0643941Z  JENKINS_USER= 2025-08-14T21:35:45.0644179Z  # ensure that docker container cleanly exits in 12 hours 2025-08-14T21:35:45.0644499Z  # if for some reason cleanup action doesn't stop container 2025-08-14T21:35:45.0644773Z  # when job is cancelled 2025-08-14T21:35:45.0644990Z  DOCKER_SHELL_CMD="sleep 12h" 2025-08-14T21:35:45.0645195Z else 2025-08-14T21:35:45.0645375Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-08-14T21:35:45.0645604Z  JENKINS_USER="--user jenkins" 2025-08-14T21:35:45.0645822Z  DOCKER_SHELL_CMD= 2025-08-14T21:35:45.0645999Z fi 2025-08-14T21:35:45.0646148Z  2025-08-14T21:35:45.0646379Z # detached container should get cleaned up by teardown_ec2_linux 2025-08-14T21:35:45.0646712Z # TODO: Stop building test binaries as part of the build phase 2025-08-14T21:35:45.0647101Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-08-14T21:35:45.0647440Z # shellcheck disable=SC2086,SC2090 2025-08-14T21:35:45.0647666Z container_name=$(docker run \ 2025-08-14T21:35:45.0647876Z  ${GPU_FLAG:-} \ 2025-08-14T21:35:45.0648092Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-08-14T21:35:45.0648329Z  -e BUILD_ENVIRONMENT \ 2025-08-14T21:35:45.0648533Z  -e PR_NUMBER \ 2025-08-14T21:35:45.0648727Z  -e GITHUB_ACTIONS \ 2025-08-14T21:35:45.0648935Z  -e GITHUB_REPOSITORY \ 2025-08-14T21:35:45.0649144Z  -e GITHUB_WORKFLOW \ 2025-08-14T21:35:45.0649339Z  -e GITHUB_JOB \ 2025-08-14T21:35:45.0649529Z  -e GITHUB_RUN_ID \ 2025-08-14T21:35:45.0649726Z  -e GITHUB_RUN_NUMBER \ 2025-08-14T21:35:45.0649928Z  -e GITHUB_RUN_ATTEMPT \ 2025-08-14T21:35:45.0650268Z  -e JOB_ID \ 2025-08-14T21:35:45.0650456Z  -e JOB_NAME \ 2025-08-14T21:35:45.0650633Z  -e BASE_SHA \ 2025-08-14T21:35:45.0650815Z  -e BRANCH \ 2025-08-14T21:35:45.0650994Z  -e SHA1 \ 2025-08-14T21:35:45.0651172Z  -e AWS_DEFAULT_REGION \ 2025-08-14T21:35:45.0651380Z  -e IN_WHEEL_TEST \ 2025-08-14T21:35:45.0651578Z  -e SHARD_NUMBER \ 2025-08-14T21:35:45.0651771Z  -e TEST_CONFIG \ 2025-08-14T21:35:45.0651958Z  -e NUM_TEST_SHARDS \ 2025-08-14T21:35:45.0652159Z  -e REENABLED_ISSUES \ 2025-08-14T21:35:45.0652380Z  -e CONTINUE_THROUGH_ERROR \ 2025-08-14T21:35:45.0652655Z  -e VERBOSE_TEST_LOGS \ 2025-08-14T21:35:45.0652852Z  -e TEST_SHOWLOCALS \ 2025-08-14T21:35:45.0653042Z  -e NO_TEST_TIMEOUT \ 2025-08-14T21:35:45.0653226Z  -e NO_TD \ 2025-08-14T21:35:45.0653409Z  -e TD_DISTRIBUTED \ 2025-08-14T21:35:45.0653612Z  -e PR_LABELS \ 2025-08-14T21:35:45.0653822Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-08-14T21:35:45.0654044Z  -e SCCACHE_BUCKET \ 2025-08-14T21:35:45.0654243Z  -e SCCACHE_REGION \ 2025-08-14T21:35:45.0654436Z  -e XLA_CUDA \ 2025-08-14T21:35:45.0654636Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-08-14T21:35:45.0654885Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-08-14T21:35:45.0655139Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-08-14T21:35:45.0655382Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-08-14T21:35:45.0655615Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-08-14T21:35:45.0655831Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-08-14T21:35:45.0656037Z  -e DASHBOARD_TAG \ 2025-08-14T21:35:45.0656223Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-08-14T21:35:45.0656463Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-08-14T21:35:45.0656730Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-08-14T21:35:45.0656984Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-08-14T21:35:45.0657236Z  --security-opt seccomp=unconfined \ 2025-08-14T21:35:45.0657466Z  --cap-add=SYS_PTRACE \ 2025-08-14T21:35:45.0657670Z  --ipc=host \ 2025-08-14T21:35:45.0657849Z  ${SHM_OPTS} \ 2025-08-14T21:35:45.0658027Z  --tty \ 2025-08-14T21:35:45.0658200Z  --detach \ 2025-08-14T21:35:45.0658386Z  --name="${container_name}" \ 2025-08-14T21:35:45.0658603Z  ${JENKINS_USER} \ 2025-08-14T21:35:45.0658845Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-08-14T21:35:45.0659109Z  -w /var/lib/jenkins/workspace \ 2025-08-14T21:35:45.0659331Z  "${DOCKER_IMAGE}" \ 2025-08-14T21:35:45.0659526Z  ${DOCKER_SHELL_CMD} 2025-08-14T21:35:45.0659704Z ) 2025-08-14T21:35:45.0659914Z # Propagate download.pytorch.org IP to container 2025-08-14T21:35:45.0660350Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-08-14T21:35:45.0660817Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-08-14T21:35:45.0661089Z  2025-08-14T21:35:45.0661288Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-08-14T21:35:45.0661675Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-08-14T21:35:45.0662023Z fi 2025-08-14T21:35:45.0662175Z  2025-08-14T21:35:45.0662510Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-08-14T21:35:45.0667713Z shell: /usr/bin/bash -e {0} 2025-08-14T21:35:45.0667899Z env: 2025-08-14T21:35:45.0668063Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:45.0668287Z BUILD_ENVIRONMENT: linux-jammy-py3.9-gcc11-build 2025-08-14T21:35:45.0668583Z PR_NUMBER: 2025-08-14T21:35:45.0668758Z GITHUB_REPOSITORY: pytorch/pytorch 2025-08-14T21:35:45.0668974Z GITHUB_WORKFLOW: inductor-periodic 2025-08-14T21:35:45.0669171Z GITHUB_JOB: test 2025-08-14T21:35:45.0669330Z GITHUB_RUN_ID: 16976338999 2025-08-14T21:35:45.0669513Z GITHUB_RUN_NUMBER: 66307 2025-08-14T21:35:45.0669690Z GITHUB_RUN_ATTEMPT: 1 2025-08-14T21:35:45.0669854Z JOB_ID: 48128301882 2025-08-14T21:35:45.0670247Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (dynamic_cpu_inductor_timm, 1, 2, linux.8xlarge.amx) 2025-08-14T21:35:45.0670680Z BRANCH: main 2025-08-14T21:35:45.0670865Z SHA1: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:45.0671180Z BASE_SHA: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:45.0671431Z TEST_CONFIG: dynamic_cpu_inductor_timm 2025-08-14T21:35:45.0671651Z SHARD_NUMBER: 1 2025-08-14T21:35:45.0671819Z NUM_TEST_SHARDS: 2 2025-08-14T21:35:45.0672001Z REENABLED_ISSUES: 2025-08-14T21:35:45.0672191Z CONTINUE_THROUGH_ERROR: True 2025-08-14T21:35:45.0672373Z VERBOSE_TEST_LOGS: False 2025-08-14T21:35:45.0672554Z TEST_SHOWLOCALS: False 2025-08-14T21:35:45.0672738Z NO_TEST_TIMEOUT: False 2025-08-14T21:35:45.0672904Z NO_TD: False 2025-08-14T21:35:45.0673066Z TD_DISTRIBUTED: False 2025-08-14T21:35:45.0673288Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-08-14T21:35:45.0673528Z SCCACHE_REGION: us-east-1 2025-08-14T21:35:45.0673713Z SHM_SIZE: 1g 2025-08-14T21:35:45.0674252Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:35:45.0674841Z XLA_CUDA: 2025-08-14T21:35:45.0675099Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-08-14T21:35:45.0675418Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-08-14T21:35:45.0675653Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-08-14T21:35:45.0675868Z DASHBOARD_TAG: 2025-08-14T21:35:45.0676228Z HUGGING_FACE_HUB_TOKEN: *** 2025-08-14T21:35:45.0676509Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-08-14T21:35:45.0676825Z ARTIFACTS_FILE_SUFFIX: test-dynamic_cpu_inductor_timm-1-2-linux.8xlarge.amx_48128301882 2025-08-14T21:35:45.0677138Z ##[endgroup] 2025-08-14T21:35:45.0699554Z + [[ dynamic_cpu_inductor_timm == \m\u\l\t\i\g\p\u ]] 2025-08-14T21:35:45.0699890Z + [[ linux-jammy-py3.9-gcc11-build == *onnx* ]] 2025-08-14T21:35:45.0700156Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-08-14T21:35:45.0702988Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-08-14T21:35:45.0722839Z + TOTAL_AVAILABLE_MEMORY_IN_GB='122.780 ' 2025-08-14T21:35:45.0723141Z + TOTAL_MEMORY_WITH_SWAP=125 2025-08-14T21:35:45.0723423Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]] 2025-08-14T21:35:45.0723676Z + SHM_OPTS=--shm-size=1g 2025-08-14T21:35:45.0723882Z + JENKINS_USER='--user jenkins' 2025-08-14T21:35:45.0724086Z + DOCKER_SHELL_CMD= 2025-08-14T21:35:45.0735085Z +++ nproc --ignore=2 2025-08-14T21:35:45.1140047Z ++ 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_16976338999 --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 2025-08-14T21:35:55.6369741Z + container_name=de3ef7ccb7eac1c69948a5a6ef9b13fcfd68d45a19f40d27f7d2baac5b107ed1 2025-08-14T21:35:55.6371159Z + grep download.pytorch.org /etc/hosts 2025-08-14T21:35:55.6375566Z + docker exec -i de3ef7ccb7eac1c69948a5a6ef9b13fcfd68d45a19f40d27f7d2baac5b107ed1 sudo bash -c '/bin/cat >> /etc/hosts' 2025-08-14T21:35:55.7715555Z + echo DOCKER_CONTAINER_ID=de3ef7ccb7eac1c69948a5a6ef9b13fcfd68d45a19f40d27f7d2baac5b107ed1 2025-08-14T21:35:55.7716438Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]] 2025-08-14T21:35:55.7720386Z ++ echo dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl 2025-08-14T21:35:55.7723764Z + docker exec -t de3ef7ccb7eac1c69948a5a6ef9b13fcfd68d45a19f40d27f7d2baac5b107ed1 sh -c 'python3 -m pip install dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-08-14T21:35:56.1213277Z Processing ./dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl (from torch==2.9.0a0+git1fc683c) 2025-08-14T21:35:56.3398625Z 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) 2025-08-14T21:35:56.3399725Z 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) 2025-08-14T21:35:56.3402415Z 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) 2025-08-14T21:35:56.3407452Z 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) 2025-08-14T21:35:56.3410021Z 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) 2025-08-14T21:35:56.3415153Z 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) 2025-08-14T21:35:56.3426371Z 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) 2025-08-14T21:35:56.3724084Z 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) 2025-08-14T21:35:56.3737762Z 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) 2025-08-14T21:35:56.3789828Z 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) 2025-08-14T21:35:57.1754740Z Installing collected packages: torch 2025-08-14T21:36:04.7133506Z 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. 2025-08-14T21:36:04.7134210Z dall-e 0.1 requires torchvision, which is not installed. 2025-08-14T21:36:04.7134538Z effdet 0.4.1 requires torchvision, which is not installed. 2025-08-14T21:36:04.7134919Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-08-14T21:36:04.7135495Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-08-14T21:36:04.7136033Z timm 1.0.14 requires torchvision, which is not installed. 2025-08-14T21:36:04.7136378Z Successfully installed torch-2.9.0a0+git1fc683c 2025-08-14T21:36:04.8144719Z + export TERM=vt100 2025-08-14T21:36:04.8144964Z + TERM=vt100 2025-08-14T21:36:04.8145221Z ++ dirname .ci/pytorch/test.sh 2025-08-14T21:36:04.8149572Z + source .ci/pytorch/common.sh 2025-08-14T21:36:04.8155977Z +++ dirname .ci/pytorch/common.sh 2025-08-14T21:36:04.8162056Z ++ source .ci/pytorch/common_utils.sh 2025-08-14T21:36:04.8166033Z +++ declare -f -t trap_add 2025-08-14T21:36:04.8166607Z ++ set -ex -o pipefail 2025-08-14T21:36:04.8166937Z ++ [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-08-14T21:36:04.8167198Z ++ BUILD_TEST_LIBTORCH=0 2025-08-14T21:36:04.8172206Z ++ dirname .ci/pytorch/test.sh 2025-08-14T21:36:04.8177833Z + source .ci/pytorch/common-build.sh 2025-08-14T21:36:04.8178437Z ++ [[ linux-jammy-py3.9-gcc11-build != *win-* ]] 2025-08-14T21:36:04.8185295Z ++++ dirname .ci/pytorch/common-build.sh 2025-08-14T21:36:04.8199822Z +++ cd .ci/pytorch 2025-08-14T21:36:04.8203401Z +++ pwd -P 2025-08-14T21:36:04.8204005Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-08-14T21:36:04.8204390Z ++ [[ linux-jammy-py3.9-gcc11-build == *-pch* ]] 2025-08-14T21:36:04.8204631Z ++ which sccache 2025-08-14T21:36:04.8225747Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-08-14T21:36:04.8226031Z ++ sccache --stop-server 2025-08-14T21:36:04.8258610Z ++ true 2025-08-14T21:36:04.8263399Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-08-14T21:36:04.8263757Z ++ trap_add sccache_epilogue EXIT 2025-08-14T21:36:04.8264024Z ++ trap_add_cmd=sccache_epilogue 2025-08-14T21:36:04.8264216Z ++ shift 2025-08-14T21:36:04.8264397Z ++ for trap_add_name in "$@" 2025-08-14T21:36:04.8271191Z ++++ trap -p EXIT 2025-08-14T21:36:04.8272478Z +++ eval 'extract_trap_cmd ' 2025-08-14T21:36:04.8272727Z ++++ extract_trap_cmd 2025-08-14T21:36:04.8272963Z ++++ printf '%s\n' '' 2025-08-14T21:36:04.8273159Z +++ printf '%s\n' sccache_epilogue 2025-08-14T21:36:04.8284088Z ++ trap -- ' 2025-08-14T21:36:04.8284479Z sccache_epilogue' EXIT 2025-08-14T21:36:04.8284806Z ++ [[ -n 1 ]] 2025-08-14T21:36:04.8285544Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-08-14T21:36:04.8286009Z Skipping sccache server initialization, setting environment variables 2025-08-14T21:36:04.8286341Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:36:04.8286586Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:36:04.8286851Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:36:04.8287156Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:36:04.8287477Z ++ export RUST_LOG=sccache::server=error 2025-08-14T21:36:04.8287703Z ++ RUST_LOG=sccache::server=error 2025-08-14T21:36:04.8287920Z ++ sccache --zero-stats 2025-08-14T21:36:04.9776852Z Statistics zeroed. 2025-08-14T21:36:04.9781618Z ++ which ccache 2025-08-14T21:36:04.9808590Z + [[ linux-jammy-py3.9-gcc11-build != *rocm* ]] 2025-08-14T21:36:04.9808902Z + [[ linux-jammy-py3.9-gcc11-build != *s390x* ]] 2025-08-14T21:36:04.9809169Z + [[ -d /var/lib/jenkins/workspace ]] 2025-08-14T21:36:04.9809792Z ++ stat -c %u /var/lib/jenkins/workspace 2025-08-14T21:36:04.9821140Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-08-14T21:36:04.9821403Z + trap_add cleanup_workspace EXIT 2025-08-14T21:36:04.9821661Z + trap_add_cmd=cleanup_workspace 2025-08-14T21:36:04.9821869Z + shift 2025-08-14T21:36:04.9822035Z + for trap_add_name in "$@" 2025-08-14T21:36:04.9838044Z +++ trap -p EXIT 2025-08-14T21:36:04.9842965Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-08-14T21:36:04.9846294Z sccache_epilogue'\'' EXIT' 2025-08-14T21:36:04.9846494Z +++ extract_trap_cmd trap -- ' 2025-08-14T21:36:04.9846694Z sccache_epilogue' EXIT 2025-08-14T21:36:04.9846872Z +++ printf '%s\n' ' 2025-08-14T21:36:04.9847028Z sccache_epilogue' 2025-08-14T21:36:04.9847229Z ++ printf '%s\n' cleanup_workspace 2025-08-14T21:36:04.9847431Z + trap -- ' 2025-08-14T21:36:04.9847582Z sccache_epilogue 2025-08-14T21:36:04.9847741Z cleanup_workspace' EXIT 2025-08-14T21:36:04.9847956Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-08-14T21:36:05.4089843Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-08-14T21:36:05.4104194Z + echo 'Environment variables:' 2025-08-14T21:36:05.4104465Z Environment variables: 2025-08-14T21:36:05.4104654Z + env 2025-08-14T21:36:05.4115649Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:36:05.4115963Z CONTINUE_THROUGH_ERROR=True 2025-08-14T21:36:05.4116228Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build 2025-08-14T21:36:05.4116478Z HOSTNAME=de3ef7ccb7ea 2025-08-14T21:36:05.4116876Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_cc2a3397-2774-4ef3-a1a5-fdbb265171c1 2025-08-14T21:36:05.4117282Z GITHUB_ACTION=__run_2 2025-08-14T21:36:05.4117757Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-08-14T21:36:05.4117972Z GITHUB_RUN_NUMBER=66307 2025-08-14T21:36:05.4118163Z TEST_CONFIG=dynamic_cpu_inductor_timm 2025-08-14T21:36:05.4118390Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-08-14T21:36:05.4118621Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-08-14T21:36:05.4118865Z SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:36:05.4119248Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-08-14T21:36:05.4119465Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-08-14T21:36:05.4119691Z GITHUB_REF_TYPE=branch 2025-08-14T21:36:05.4119873Z TORCH_CUDA_ARCH_LIST=Maxwell 2025-08-14T21:36:05.4120090Z BASE_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:36:05.4120307Z XLA_CUDA= 2025-08-14T21:36:05.4120461Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-08-14T21:36:05.4120776Z HUGGING_FACE_HUB_TOKEN=*** 2025-08-14T21:36:05.4125523Z *** 2025-08-14T21:36:05.4125704Z GITHUB_REPOSITORY_ID=65600975 2025-08-14T21:36:05.4125896Z GITHUB_ACTIONS=true 2025-08-14T21:36:05.4126112Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:36:05.4126391Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:36:05.4126780Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:36:05.4127171Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-periodic.yml@refs/heads/main 2025-08-14T21:36:05.4127525Z UCC_HOME=/usr 2025-08-14T21:36:05.4127698Z VERBOSE_TEST_LOGS=False 2025-08-14T21:36:05.4127879Z GITHUB_REF=refs/heads/main 2025-08-14T21:36:05.4128070Z SHARD_NUMBER=1 2025-08-14T21:36:05.4128295Z GITHUB_REF_PROTECTED=true 2025-08-14T21:36:05.4128475Z HOME=/var/lib/jenkins 2025-08-14T21:36:05.4128662Z GITHUB_API_URL=https://api.github.com 2025-08-14T21:36:05.4128882Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-08-14T21:36:05.4129073Z UCX_COMMIT= 2025-08-14T21:36:05.4129215Z USE_SYSTEM_NCCL=1 2025-08-14T21:36:05.4129375Z NUM_TEST_SHARDS=2 2025-08-14T21:36:05.4129529Z UCX_HOME=/usr 2025-08-14T21:36:05.4129874Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_cc2a3397-2774-4ef3-a1a5-fdbb265171c1 2025-08-14T21:36:05.4130472Z JOB_NAME=linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (dynamic_cpu_inductor_timm, 1, 2, linux.8xlarge.amx) 2025-08-14T21:36:05.4131087Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_cc2a3397-2774-4ef3-a1a5-fdbb265171c1 2025-08-14T21:36:05.4131600Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-08-14T21:36:05.4131916Z GITHUB_EVENT_NAME=schedule 2025-08-14T21:36:05.4132103Z DASHBOARD_TAG= 2025-08-14T21:36:05.4132272Z GITHUB_RUN_ID=16976338999 2025-08-14T21:36:05.4132447Z INSTALLED_OPENBLAS= 2025-08-14T21:36:05.4132841Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_cc2a3397-2774-4ef3-a1a5-fdbb265171c1 2025-08-14T21:36:05.4133267Z GITHUB_ACTOR=pytorchmergebot 2025-08-14T21:36:05.4133439Z PR_NUMBER= 2025-08-14T21:36:05.4133584Z DESIRED_CUDA= 2025-08-14T21:36:05.4133735Z GITHUB_RUN_ATTEMPT=1 2025-08-14T21:36:05.4133910Z ANACONDA_PYTHON_VERSION=3.9 2025-08-14T21:36:05.4134123Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-08-14T21:36:05.4134347Z TERM=vt100 2025-08-14T21:36:05.4134503Z INSTALLED_VISION=yes 2025-08-14T21:36:05.4134666Z BRANCH=main 2025-08-14T21:36:05.4134998Z SCCACHE_REGION=us-east-1 2025-08-14T21:36:05.4135187Z OPENSSL_ROOT_DIR=/opt/openssl 2025-08-14T21:36:05.4135369Z CUDA_PATH=/usr/local/cuda 2025-08-14T21:36:05.4135707Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-08-14T21:36:05.4136080Z GITHUB_SERVER_URL=https://github.com 2025-08-14T21:36:05.4136299Z UCC_COMMIT= 2025-08-14T21:36:05.4136460Z REENABLED_ISSUES= 2025-08-14T21:36:05.4136632Z DOCS=yes 2025-08-14T21:36:05.4136777Z SHLVL=1 2025-08-14T21:36:05.4136923Z MAX_JOBS=30 2025-08-14T21:36:05.4137082Z GITHUB_ACTOR_ID=97764156 2025-08-14T21:36:05.4137316Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:36:05.4137567Z GITHUB_REF_NAME=main 2025-08-14T21:36:05.4137908Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-08-14T21:36:05.4138200Z GITHUB_JOB=test 2025-08-14T21:36:05.4138363Z NO_TEST_TIMEOUT=False 2025-08-14T21:36:05.4138540Z TD_DISTRIBUTED=False 2025-08-14T21:36:05.4138725Z GITHUB_REPOSITORY=pytorch/pytorch 2025-08-14T21:36:05.4138934Z GITHUB_RETENTION_DAYS=90 2025-08-14T21:36:05.4139127Z OPENSSL_DIR=/opt/openssl 2025-08-14T21:36:05.4139354Z GITHUB_ACTION_REPOSITORY= 2025-08-14T21:36:05.4139851Z 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 2025-08-14T21:36:05.4140352Z GITHUB_BASE_REF= 2025-08-14T21:36:05.4140518Z INSTALLED_ACL= 2025-08-14T21:36:05.4140799Z ARTIFACTS_FILE_SUFFIX=test-dynamic_cpu_inductor_timm-1-2-linux.8xlarge.amx_48128301882 2025-08-14T21:36:05.4141149Z CI=true 2025-08-14T21:36:05.4141314Z GITHUB_REPOSITORY_OWNER=pytorch 2025-08-14T21:36:05.4141562Z RUST_LOG=sccache::server=error 2025-08-14T21:36:05.4141759Z JOB_ID=48128301882 2025-08-14T21:36:05.4141921Z GITHUB_HEAD_REF= 2025-08-14T21:36:05.4142087Z GITHUB_ACTION_REF= 2025-08-14T21:36:05.4142289Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-08-14T21:36:05.4142531Z TEST_SHOWLOCALS=False 2025-08-14T21:36:05.4142732Z GITHUB_WORKFLOW=inductor-periodic 2025-08-14T21:36:05.4142946Z DEBIAN_FRONTEND=noninteractive 2025-08-14T21:36:05.4143359Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_cc2a3397-2774-4ef3-a1a5-fdbb265171c1 2025-08-14T21:36:05.4143780Z NO_TD=False 2025-08-14T21:36:05.4143948Z SKIP_SCCACHE_INITIALIZATION=1 2025-08-14T21:36:05.4144171Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-08-14T21:36:05.4144390Z _=/usr/bin/env 2025-08-14T21:36:05.4144615Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-08-14T21:36:05.4386135Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch 2025-08-14T21:36:05.4386637Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/bin 2025-08-14T21:36:05.4387007Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib 2025-08-14T21:36:05.4387352Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/test 2025-08-14T21:36:05.4387648Z + BUILD_DIR=build 2025-08-14T21:36:05.4387843Z + BUILD_RENAMED_DIR=build_renamed 2025-08-14T21:36:05.4388059Z + BUILD_BIN_DIR=build/bin 2025-08-14T21:36:05.4388240Z + SHARD_NUMBER=1 2025-08-14T21:36:05.4388411Z + NUM_TEST_SHARDS=2 2025-08-14T21:36:05.4388604Z + export TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:36:05.4388819Z + TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:36:05.4389022Z + export VALGRIND=ON 2025-08-14T21:36:05.4389199Z + VALGRIND=ON 2025-08-14T21:36:05.4389393Z + [[ linux-jammy-py3.9-gcc11-build == *clang9* ]] 2025-08-14T21:36:05.4389664Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-08-14T21:36:05.4389904Z + [[ linux-jammy-py3.9-gcc11-build == *s390x* ]] 2025-08-14T21:36:05.4390107Z + [[ 0 == \1 ]] 2025-08-14T21:36:05.4390264Z + [[ True == \1 ]] 2025-08-14T21:36:05.4390447Z + [[ linux-jammy-py3.9-gcc11-build != *bazel* ]] 2025-08-14T21:36:05.4395472Z ++ realpath build/custom_test_artifacts 2025-08-14T21:36:05.4398227Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-08-14T21:36:05.4398908Z + [[ -n '' ]] 2025-08-14T21:36:05.4399097Z + echo 'Environment variables' 2025-08-14T21:36:05.4399301Z Environment variables 2025-08-14T21:36:05.4399479Z + env 2025-08-14T21:36:05.4424231Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:36:05.4424685Z CONTINUE_THROUGH_ERROR=True 2025-08-14T21:36:05.4425240Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build 2025-08-14T21:36:05.4425544Z HOSTNAME=de3ef7ccb7ea 2025-08-14T21:36:05.4425977Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_cc2a3397-2774-4ef3-a1a5-fdbb265171c1 2025-08-14T21:36:05.4426396Z GITHUB_ACTION=__run_2 2025-08-14T21:36:05.4426718Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-08-14T21:36:05.4427229Z GITHUB_RUN_NUMBER=66307 2025-08-14T21:36:05.4427519Z TEST_CONFIG=dynamic_cpu_inductor_timm 2025-08-14T21:36:05.4427758Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-08-14T21:36:05.4428028Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-08-14T21:36:05.4428274Z SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:36:05.4428684Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-08-14T21:36:05.4428912Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-08-14T21:36:05.4429142Z GITHUB_REF_TYPE=branch 2025-08-14T21:36:05.4429331Z TORCH_CUDA_ARCH_LIST=Maxwell 2025-08-14T21:36:05.4429551Z BASE_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:36:05.4429782Z XLA_CUDA= 2025-08-14T21:36:05.4429957Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-08-14T21:36:05.4430237Z HUGGING_FACE_HUB_TOKEN=*** 2025-08-14T21:36:05.4430493Z *** 2025-08-14T21:36:05.4430650Z GITHUB_REPOSITORY_ID=65600975 2025-08-14T21:36:05.4430834Z GITHUB_ACTIONS=true 2025-08-14T21:36:05.4431043Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:36:05.4431312Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:36:05.4431566Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:36:05.4431946Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-periodic.yml@refs/heads/main 2025-08-14T21:36:05.4432320Z UCC_HOME=/usr 2025-08-14T21:36:05.4432487Z TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:36:05.4432669Z VERBOSE_TEST_LOGS=False 2025-08-14T21:36:05.4432851Z GITHUB_REF=refs/heads/main 2025-08-14T21:36:05.4433033Z SHARD_NUMBER=1 2025-08-14T21:36:05.4433194Z GITHUB_REF_PROTECTED=true 2025-08-14T21:36:05.4433376Z HOME=/var/lib/jenkins 2025-08-14T21:36:05.4433578Z GITHUB_API_URL=https://api.github.com 2025-08-14T21:36:05.4433799Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-08-14T21:36:05.4434001Z UCX_COMMIT= 2025-08-14T21:36:05.4434156Z USE_SYSTEM_NCCL=1 2025-08-14T21:36:05.4434315Z NUM_TEST_SHARDS=2 2025-08-14T21:36:05.4434475Z UCX_HOME=/usr 2025-08-14T21:36:05.4434848Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_cc2a3397-2774-4ef3-a1a5-fdbb265171c1 2025-08-14T21:36:05.4435475Z JOB_NAME=linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (dynamic_cpu_inductor_timm, 1, 2, linux.8xlarge.amx) 2025-08-14T21:36:05.4436083Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_cc2a3397-2774-4ef3-a1a5-fdbb265171c1 2025-08-14T21:36:05.4436612Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-08-14T21:36:05.4436934Z GITHUB_EVENT_NAME=schedule 2025-08-14T21:36:05.4437112Z DASHBOARD_TAG= 2025-08-14T21:36:05.4437279Z GITHUB_RUN_ID=16976338999 2025-08-14T21:36:05.4437462Z INSTALLED_OPENBLAS= 2025-08-14T21:36:05.4437854Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_cc2a3397-2774-4ef3-a1a5-fdbb265171c1 2025-08-14T21:36:05.4438272Z GITHUB_ACTOR=pytorchmergebot 2025-08-14T21:36:05.4438462Z PR_NUMBER= 2025-08-14T21:36:05.4438612Z DESIRED_CUDA= 2025-08-14T21:36:05.4438769Z GITHUB_RUN_ATTEMPT=1 2025-08-14T21:36:05.4438941Z VALGRIND=ON 2025-08-14T21:36:05.4439103Z ANACONDA_PYTHON_VERSION=3.9 2025-08-14T21:36:05.4439324Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-08-14T21:36:05.4439554Z TERM=vt100 2025-08-14T21:36:05.4439711Z INSTALLED_VISION=yes 2025-08-14T21:36:05.4439966Z BRANCH=main 2025-08-14T21:36:05.4440131Z SCCACHE_REGION=us-east-1 2025-08-14T21:36:05.4440329Z OPENSSL_ROOT_DIR=/opt/openssl 2025-08-14T21:36:05.4440521Z CUDA_PATH=/usr/local/cuda 2025-08-14T21:36:05.4440857Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-08-14T21:36:05.4441234Z GITHUB_SERVER_URL=https://github.com 2025-08-14T21:36:05.4441442Z UCC_COMMIT= 2025-08-14T21:36:05.4441586Z REENABLED_ISSUES= 2025-08-14T21:36:05.4441749Z DOCS=yes 2025-08-14T21:36:05.4441897Z SHLVL=1 2025-08-14T21:36:05.4442034Z MAX_JOBS=30 2025-08-14T21:36:05.4442189Z GITHUB_ACTOR_ID=97764156 2025-08-14T21:36:05.4442468Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:36:05.4442713Z GITHUB_REF_NAME=main 2025-08-14T21:36:05.4442977Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-08-14T21:36:05.4443258Z GITHUB_JOB=test 2025-08-14T21:36:05.4443419Z NO_TEST_TIMEOUT=False 2025-08-14T21:36:05.4443602Z TD_DISTRIBUTED=False 2025-08-14T21:36:05.4443789Z GITHUB_REPOSITORY=pytorch/pytorch 2025-08-14T21:36:05.4443988Z GITHUB_RETENTION_DAYS=90 2025-08-14T21:36:05.4444175Z OPENSSL_DIR=/opt/openssl 2025-08-14T21:36:05.4444365Z GITHUB_ACTION_REPOSITORY= 2025-08-14T21:36:05.4444854Z 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 2025-08-14T21:36:05.4445345Z GITHUB_BASE_REF= 2025-08-14T21:36:05.4445522Z INSTALLED_ACL= 2025-08-14T21:36:05.4445792Z ARTIFACTS_FILE_SUFFIX=test-dynamic_cpu_inductor_timm-1-2-linux.8xlarge.amx_48128301882 2025-08-14T21:36:05.4446084Z CI=true 2025-08-14T21:36:05.4446239Z GITHUB_REPOSITORY_OWNER=pytorch 2025-08-14T21:36:05.4446485Z RUST_LOG=sccache::server=error 2025-08-14T21:36:05.4446661Z JOB_ID=48128301882 2025-08-14T21:36:05.4446815Z GITHUB_HEAD_REF= 2025-08-14T21:36:05.4446972Z GITHUB_ACTION_REF= 2025-08-14T21:36:05.4447157Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-08-14T21:36:05.4447385Z TEST_SHOWLOCALS=False 2025-08-14T21:36:05.4447565Z GITHUB_WORKFLOW=inductor-periodic 2025-08-14T21:36:05.4447762Z DEBIAN_FRONTEND=noninteractive 2025-08-14T21:36:05.4448163Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_cc2a3397-2774-4ef3-a1a5-fdbb265171c1 2025-08-14T21:36:05.4448557Z NO_TD=False 2025-08-14T21:36:05.4448726Z SKIP_SCCACHE_INITIALIZATION=1 2025-08-14T21:36:05.4448933Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-08-14T21:36:05.4449146Z _=/usr/bin/env 2025-08-14T21:36:05.4449331Z + echo 'Testing pytorch' 2025-08-14T21:36:05.4449507Z Testing pytorch 2025-08-14T21:36:05.4449699Z + export LANG=C.UTF-8 2025-08-14T21:36:05.4449869Z + LANG=C.UTF-8 2025-08-14T21:36:05.4450027Z + PR_NUMBER= 2025-08-14T21:36:05.4450216Z + [[ dynamic_cpu_inductor_timm == \d\e\f\a\u\l\t ]] 2025-08-14T21:36:05.4450490Z + [[ dynamic_cpu_inductor_timm == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-08-14T21:36:05.4450743Z + [[ dynamic_cpu_inductor_timm == \s\l\o\w ]] 2025-08-14T21:36:05.4451020Z + [[ linux-jammy-py3.9-gcc11-build == *slow-gradcheck* ]] 2025-08-14T21:36:05.4451348Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-08-14T21:36:05.4451595Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-08-14T21:36:05.4451834Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-08-14T21:36:05.4452069Z + [[ dynamic_cpu_inductor_timm == *crossref* ]] 2025-08-14T21:36:05.4452306Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-08-14T21:36:05.4452536Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-08-14T21:36:05.4452787Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]] 2025-08-14T21:36:05.4453027Z + pip_install ninja==1.10.2 2025-08-14T21:36:05.4453276Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-08-14T21:36:05.4453634Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-08-14T21:36:05.8543251Z Collecting ninja==1.10.2 2025-08-14T21:36:05.8638639Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-08-14T21:36:05.8765196Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-08-14T21:36:06.6442649Z Installing collected packages: ninja 2025-08-14T21:36:06.6442968Z Attempting uninstall: ninja 2025-08-14T21:36:06.6448022Z Found existing installation: ninja 1.11.1.3 2025-08-14T21:36:06.6460743Z Uninstalling ninja-1.11.1.3: 2025-08-14T21:36:06.6624302Z Successfully uninstalled ninja-1.11.1.3 2025-08-14T21:36:06.8742904Z Successfully installed ninja-1.10.2 2025-08-14T21:36:06.9743065Z + 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 2025-08-14T21:36:06.9744128Z + 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 2025-08-14T21:36:06.9744778Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]] 2025-08-14T21:36:06.9745368Z + [[ linux-jammy-py3.9-gcc11-build == *asan* ]] 2025-08-14T21:36:06.9745652Z + [[ linux-jammy-py3.9-gcc11-build == *-debug* ]] 2025-08-14T21:36:06.9745923Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]] 2025-08-14T21:36:06.9746303Z + echo 'We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass' 2025-08-14T21:36:06.9746737Z We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass 2025-08-14T21:36:06.9747048Z + cd test 2025-08-14T21:36:06.9747304Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-08-14T21:36:08.1567738Z + [[ dynamic_cpu_inductor_timm == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-08-14T21:36:08.1569514Z + [[ dynamic_cpu_inductor_timm == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-08-14T21:36:08.1569886Z + [[ dynamic_cpu_inductor_timm == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-08-14T21:36:08.1570194Z + DYNAMO_BENCHMARK_FLAGS=() 2025-08-14T21:36:08.1570466Z + [[ dynamic_cpu_inductor_timm == *pr_time_benchmarks* ]] 2025-08-14T21:36:08.1570745Z + [[ dynamic_cpu_inductor_timm == *dynamo_eager* ]] 2025-08-14T21:36:08.1571036Z + [[ dynamic_cpu_inductor_timm == *aot_eager* ]] 2025-08-14T21:36:08.1571317Z + [[ dynamic_cpu_inductor_timm == *aot_inductor* ]] 2025-08-14T21:36:08.1571608Z + [[ dynamic_cpu_inductor_timm == *max_autotune_inductor* ]] 2025-08-14T21:36:08.1571903Z + [[ dynamic_cpu_inductor_timm == *inductor* ]] 2025-08-14T21:36:08.1572174Z + [[ dynamic_cpu_inductor_timm != *perf* ]] 2025-08-14T21:36:08.1572477Z + DYNAMO_BENCHMARK_FLAGS+=(--inductor) 2025-08-14T21:36:08.1572727Z + [[ dynamic_cpu_inductor_timm == *dynamic* ]] 2025-08-14T21:36:08.1573083Z + DYNAMO_BENCHMARK_FLAGS+=(--dynamic-shapes --dynamic-batch-only) 2025-08-14T21:36:08.1573413Z + [[ dynamic_cpu_inductor_timm == *cpu* ]] 2025-08-14T21:36:08.1573671Z + DYNAMO_BENCHMARK_FLAGS+=(--device cpu) 2025-08-14T21:36:08.1722440Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]] 2025-08-14T21:36:08.1722823Z + [[ linux-jammy-py3.9-gcc11-build == *-bazel-* ]] 2025-08-14T21:36:08.1723901Z + cd test 2025-08-14T21:36:08.1724309Z + python -c 'import torch; print(torch.__config__.show())' 2025-08-14T21:36:09.1521194Z PyTorch built with: 2025-08-14T21:36:09.1525892Z - GCC 11.4 2025-08-14T21:36:09.1530364Z - C++ Version: 201703 2025-08-14T21:36:09.1532731Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-08-14T21:36:09.1533283Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-08-14T21:36:09.1533619Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-08-14T21:36:09.1533915Z - LAPACK is enabled (usually provided by MKL) 2025-08-14T21:36:09.1534147Z - NNPACK is enabled 2025-08-14T21:36:09.1534347Z - CPU capability usage: AVX512 2025-08-14T21:36:09.1537563Z - 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, 2025-08-14T21:36:09.1540841Z 2025-08-14T21:36:09.3929107Z + cd test 2025-08-14T21:36:09.3929592Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-08-14T21:36:10.3610908Z ATen/Parallel: 2025-08-14T21:36:10.3611219Z at::get_num_threads() : 16 2025-08-14T21:36:10.3611438Z at::get_num_interop_threads() : 16 2025-08-14T21:36:10.3611666Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-08-14T21:36:10.3611887Z omp_get_max_threads() : 16 2025-08-14T21:36:10.3612272Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-08-14T21:36:10.3612649Z mkl_get_max_threads() : 16 2025-08-14T21:36:10.3612963Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-08-14T21:36:10.3613274Z std::thread::hardware_concurrency() : 32 2025-08-14T21:36:10.3613481Z Environment variables: 2025-08-14T21:36:10.3613661Z OMP_NUM_THREADS : [not set] 2025-08-14T21:36:10.3613853Z MKL_NUM_THREADS : [not set] 2025-08-14T21:36:10.3614060Z ATen parallel backend: OpenMP 2025-08-14T21:36:10.3614192Z 2025-08-14T21:36:10.5779168Z + [[ dynamic_cpu_inductor_timm == *numpy_2* ]] 2025-08-14T21:36:10.5779533Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]] 2025-08-14T21:36:10.5779834Z + [[ dynamic_cpu_inductor_timm == *backward* ]] 2025-08-14T21:36:10.5780079Z + [[ dynamic_cpu_inductor_timm == *xla* ]] 2025-08-14T21:36:10.5780338Z + [[ dynamic_cpu_inductor_timm == *executorch* ]] 2025-08-14T21:36:10.5780616Z + [[ dynamic_cpu_inductor_timm == \j\i\t\_\l\e\g\a\c\y ]] 2025-08-14T21:36:10.5780889Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]] 2025-08-14T21:36:10.5781163Z + [[ dynamic_cpu_inductor_timm == distributed ]] 2025-08-14T21:36:10.5781478Z + [[ dynamic_cpu_inductor_timm == *operator_benchmark* ]] 2025-08-14T21:36:10.5781772Z + [[ dynamic_cpu_inductor_timm == *inductor_distributed* ]] 2025-08-14T21:36:10.5782058Z + [[ dynamic_cpu_inductor_timm == *inductor-halide* ]] 2025-08-14T21:36:10.5782349Z + [[ dynamic_cpu_inductor_timm == *inductor-triton-cpu* ]] 2025-08-14T21:36:10.5782683Z + [[ dynamic_cpu_inductor_timm == *inductor-micro-benchmark* ]] 2025-08-14T21:36:10.5782992Z + [[ dynamic_cpu_inductor_timm == *huggingface* ]] 2025-08-14T21:36:10.5783247Z + [[ dynamic_cpu_inductor_timm == *timm* ]] 2025-08-14T21:36:10.5783478Z + install_torchvision 2025-08-14T21:36:10.5783662Z + local orig_preload 2025-08-14T21:36:10.5783848Z + local commit 2025-08-14T21:36:10.5784030Z ++ get_pinned_commit vision 2025-08-14T21:36:10.5784247Z ++ cat .github/ci_commit_pins/vision.txt 2025-08-14T21:36:10.6285509Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:36:10.6287391Z + orig_preload= 2025-08-14T21:36:10.6287952Z + '[' -n '' ']' 2025-08-14T21:36:10.6288195Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-08-14T21:36:10.6288830Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-08-14T21:36:10.6289538Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:36:10.6290409Z + local wheel_dir=dist/vision 2025-08-14T21:36:10.6290634Z + local found_whl=0 2025-08-14T21:36:10.6290825Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:36:10.6291149Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl ]] 2025-08-14T21:36:10.6291565Z + found_whl=1 2025-08-14T21:36:10.6291796Z + break 2025-08-14T21:36:10.6292600Z + '[' 1 == 0 ']' 2025-08-14T21:36:10.6292924Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:36:10.6293422Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:36:10.6293968Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl') 2025-08-14T21:36:10.6294789Z + local args 2025-08-14T21:36:10.6295102Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl == *\ * ]] 2025-08-14T21:36:10.6295449Z + for path in "${args[@]}" 2025-08-14T21:36:10.6295813Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl' 2025-08-14T21:36:10.6296352Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:36:10.6296883Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:36:10.9206639Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:36:10.9281340Z Installing collected packages: torchvision 2025-08-14T21:36:11.3103517Z Successfully installed torchvision-0.22.0a0+966da7e 2025-08-14T21:36:11.3529491Z + '[' -n '' ']' 2025-08-14T21:36:11.3529738Z + id=0 2025-08-14T21:36:11.3529929Z + test_dynamo_benchmark timm_models 0 2025-08-14T21:36:11.3533271Z ++ pwd 2025-08-14T21:36:11.3533783Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-08-14T21:36:11.3534198Z + local suite=timm_models 2025-08-14T21:36:11.3534408Z + shift 2025-08-14T21:36:11.3534580Z + local shard_id=0 2025-08-14T21:36:11.3534788Z + shift 2025-08-14T21:36:11.3535005Z + [[ dynamic_cpu_inductor_timm == *perf_compare* ]] 2025-08-14T21:36:11.3535288Z + [[ dynamic_cpu_inductor_timm == *perf* ]] 2025-08-14T21:36:11.3535633Z + [[ dynamic_cpu_inductor_timm == *cpu* ]] 2025-08-14T21:36:11.3535898Z + local dt=float32 2025-08-14T21:36:11.3536123Z + [[ dynamic_cpu_inductor_timm == *amp* ]] 2025-08-14T21:36:11.3536401Z + [[ dynamic_cpu_inductor_timm == *freezing* ]] 2025-08-14T21:36:11.3536748Z + test_single_dynamo_benchmark inference timm_models 0 --inference --float32 2025-08-14T21:36:11.3540991Z ++ pwd 2025-08-14T21:36:11.3541889Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-08-14T21:36:11.3542254Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-08-14T21:36:11.3558994Z + local name=inference 2025-08-14T21:36:11.3559210Z + shift 2025-08-14T21:36:11.3559376Z + local suite=timm_models 2025-08-14T21:36:11.3559562Z + shift 2025-08-14T21:36:11.3559714Z + local shard_id=0 2025-08-14T21:36:11.3559881Z + shift 2025-08-14T21:36:11.3560036Z + partition_flags=() 2025-08-14T21:36:11.3560222Z + local partition_flags 2025-08-14T21:36:11.3560406Z + [[ -n 2 ]] 2025-08-14T21:36:11.3560562Z + [[ -n 0 ]] 2025-08-14T21:36:11.3560855Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-08-14T21:36:11.3561268Z + [[ dynamic_cpu_inductor_timm == *perf_compare* ]] 2025-08-14T21:36:11.3561521Z + [[ dynamic_cpu_inductor_timm == *perf* ]] 2025-08-14T21:36:11.3561760Z + [[ dynamic_cpu_inductor_timm == *_avx2* ]] 2025-08-14T21:36:11.3562010Z + [[ dynamic_cpu_inductor_timm == *_avx512* ]] 2025-08-14T21:36:11.3562830Z + 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 2025-08-14T21:36:18.2222856Z 2025-08-14T21:36:18.4915018Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:36:18.4916144Z 2025-08-14T21:36:18.5986894Z model.safetensors: 0% 0.00/95.5M [00:00 [B, N, h, Ch] -> [B, N, C] 2025-08-14T21:42:03.1376097Z 2025-08-14T21:42:03.1376211Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1376602Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1376955Z return mod(*inputs) 2025-08-14T21:42:03.1377263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1377616Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1377989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:42:03.1378361Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:42:03.1378685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1379036Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1379384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 134, in forward 2025-08-14T21:42:03.1379747Z x = self.proj(x) 2025-08-14T21:42:03.1379867Z 2025-08-14T21:42:03.1379981Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1380372Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1380729Z return mod(*inputs) 2025-08-14T21:42:03.1381036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1381386Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1381758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:42:03.1382155Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:42:03.1382486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:42:03.1382830Z cur = self.mlp(cur) 2025-08-14T21:42:03.1383150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:42:03.1383507Z x = self.fc1(x) 2025-08-14T21:42:03.1383620Z 2025-08-14T21:42:03.1383733Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1384133Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1384479Z return mod(*inputs) 2025-08-14T21:42:03.1384797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1385147Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1385636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:42:03.1386017Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:42:03.1386351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:42:03.1387058Z cur = self.mlp(cur) 2025-08-14T21:42:03.1387379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:42:03.1387719Z x = self.act(x) 2025-08-14T21:42:03.1387835Z 2025-08-14T21:42:03.1387957Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1388334Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1388704Z return mod(*inputs) 2025-08-14T21:42:03.1389038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1389403Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1389788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:42:03.1390143Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:42:03.1390485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:42:03.1390827Z cur = self.mlp(cur) 2025-08-14T21:42:03.1391136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:42:03.1391464Z x = self.fc2(x) 2025-08-14T21:42:03.1391564Z 2025-08-14T21:42:03.1391681Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1392101Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1392459Z return mod(*inputs) 2025-08-14T21:42:03.1392761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1393130Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1393500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:42:03.1393862Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:42:03.1394205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 220, in forward 2025-08-14T21:42:03.1394540Z x = x + self.drop_path(cur) 2025-08-14T21:42:03.1394685Z 2025-08-14T21:42:03.1394795Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1395209Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1395570Z return mod(*inputs) 2025-08-14T21:42:03.1395892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1396255Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1396633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:42:03.1397004Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:42:03.1397374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:42:03.1397715Z x = self.cpe(x, size) 2025-08-14T21:42:03.1398029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-08-14T21:42:03.1398388Z x = self.proj(feat) + feat 2025-08-14T21:42:03.1398524Z 2025-08-14T21:42:03.1398610Z cudagraph partition due to non gpu ops 2025-08-14T21:42:03.1398842Z cudagraph partition due to non gpu ops 2025-08-14T21:42:03.1399096Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1399474Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1399816Z return mod(*inputs) 2025-08-14T21:42:03.1400123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1400458Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1400825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:42:03.1401186Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:42:03.1401496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:42:03.1401833Z x = self.cpe(x, size) 2025-08-14T21:42:03.1402144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 162, in forward 2025-08-14T21:42:03.1402482Z x = torch.cat((cls_token, x), dim=1) 2025-08-14T21:42:03.1402622Z 2025-08-14T21:42:03.1402730Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1403114Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1403593Z return mod(*inputs) 2025-08-14T21:42:03.1403894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1404239Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1404613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:42:03.1404982Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:42:03.1405297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1405649Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1405997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 118, in forward 2025-08-14T21:42:03.1406435Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:42:03.1406668Z 2025-08-14T21:42:03.1406781Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1407162Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1407507Z return mod(*inputs) 2025-08-14T21:42:03.1407813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1408156Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1408522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:42:03.1408912Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:42:03.1409221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1409565Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1409903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:42:03.1410231Z k_softmax = k.softmax(dim=2) 2025-08-14T21:42:03.1410365Z 2025-08-14T21:42:03.1410473Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1410849Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1411190Z return mod(*inputs) 2025-08-14T21:42:03.1411534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1411876Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1412239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:42:03.1412618Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:42:03.1412936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1413277Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1413619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:42:03.1413946Z k_softmax = k.softmax(dim=2) 2025-08-14T21:42:03.1414080Z 2025-08-14T21:42:03.1414190Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1414573Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1414915Z return mod(*inputs) 2025-08-14T21:42:03.1415225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1415564Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1415936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:42:03.1416291Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:42:03.1416610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1416953Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1417286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:42:03.1417621Z k_softmax = k.softmax(dim=2) 2025-08-14T21:42:03.1417756Z 2025-08-14T21:42:03.1417864Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1418252Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1418588Z return mod(*inputs) 2025-08-14T21:42:03.1418895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1419241Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1419600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:42:03.1419962Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:42:03.1420280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1420621Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1420953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:42:03.1421288Z k_softmax = k.softmax(dim=2) 2025-08-14T21:42:03.1421415Z 2025-08-14T21:42:03.1421535Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1421928Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1422274Z return mod(*inputs) 2025-08-14T21:42:03.1422578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1422949Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1423307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:42:03.1423670Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:42:03.1423989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1424328Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1424670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:42:03.1425039Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:42:03.1425278Z 2025-08-14T21:42:03.1425462Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1425869Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1426230Z return mod(*inputs) 2025-08-14T21:42:03.1426710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1427084Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1427456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:42:03.1427829Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:42:03.1428158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1428508Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1428861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:42:03.1429244Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:42:03.1429406Z 2025-08-14T21:42:03.1429531Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1429931Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1430288Z return mod(*inputs) 2025-08-14T21:42:03.1430607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1430953Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1431330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:42:03.1431705Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:42:03.1432042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1432400Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1432765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:42:03.1433129Z factor_att = q @ factor_att 2025-08-14T21:42:03.1433252Z 2025-08-14T21:42:03.1433365Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1433773Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1434133Z return mod(*inputs) 2025-08-14T21:42:03.1434457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1434813Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1435187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:42:03.1435561Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:42:03.1435895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1436270Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1436596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:42:03.1436909Z factor_att = q @ factor_att 2025-08-14T21:42:03.1437019Z 2025-08-14T21:42:03.1437121Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1437545Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1437875Z return mod(*inputs) 2025-08-14T21:42:03.1438164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1438489Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1438834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:42:03.1439177Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:42:03.1439484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1439934Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1440276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:42:03.1440630Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:42:03.1441014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:42:03.1441351Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:42:03.1441496Z 2025-08-14T21:42:03.1441608Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1441958Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1442283Z return mod(*inputs) 2025-08-14T21:42:03.1442573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1442884Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1443237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:42:03.1443573Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:42:03.1443866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1444175Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1444488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:42:03.1444818Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:42:03.1445135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:42:03.1445456Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:42:03.1445601Z 2025-08-14T21:42:03.1445702Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1446047Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1446356Z return mod(*inputs) 2025-08-14T21:42:03.1446646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1446975Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1447326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:42:03.1447692Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:42:03.1448008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1448350Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1448662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:42:03.1449006Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:42:03.1449360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:42:03.1449707Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:42:03.1449870Z 2025-08-14T21:42:03.1449956Z cudagraph partition due to non gpu ops 2025-08-14T21:42:03.1450184Z cudagraph partition due to non gpu ops 2025-08-14T21:42:03.1450420Z cudagraph partition due to non gpu ops 2025-08-14T21:42:03.1450661Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1451053Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1451386Z return mod(*inputs) 2025-08-14T21:42:03.1451685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1452027Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1452396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:42:03.1452761Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:42:03.1453073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1453448Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1453780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:42:03.1454112Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:42:03.1454470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 82, in forward 2025-08-14T21:42:03.1454807Z conv_v_img = torch.cat(conv_v_img_list, dim=1) 2025-08-14T21:42:03.1454960Z 2025-08-14T21:42:03.1455073Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1455427Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1455758Z return mod(*inputs) 2025-08-14T21:42:03.1456049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1456367Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1456721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:42:03.1457077Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:42:03.1457397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1457732Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1458068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 131, in forward 2025-08-14T21:42:03.1458477Z x = x.transpose(1, 2).reshape(B, N, C) # [B, h, N, Ch] -> [B, N, h, Ch] -> [B, N, C] 2025-08-14T21:42:03.1458690Z 2025-08-14T21:42:03.1458810Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1459185Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1459542Z return mod(*inputs) 2025-08-14T21:42:03.1459861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1460211Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1460596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:42:03.1461051Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:42:03.1461396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1461755Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1462112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 134, in forward 2025-08-14T21:42:03.1462490Z x = self.proj(x) 2025-08-14T21:42:03.1462599Z 2025-08-14T21:42:03.1462714Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1463118Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1463481Z return mod(*inputs) 2025-08-14T21:42:03.1463805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1464161Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1464541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:42:03.1464961Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:42:03.1465345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:42:03.1465714Z cur = self.mlp(cur) 2025-08-14T21:42:03.1466054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:42:03.1466399Z x = self.fc1(x) 2025-08-14T21:42:03.1466507Z 2025-08-14T21:42:03.1466626Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1466990Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1467315Z return mod(*inputs) 2025-08-14T21:42:03.1467651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1467978Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1468326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:42:03.1468710Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:42:03.1469022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:42:03.1469349Z cur = self.mlp(cur) 2025-08-14T21:42:03.1469654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:42:03.1469972Z x = self.act(x) 2025-08-14T21:42:03.1470084Z 2025-08-14T21:42:03.1470194Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1470577Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1470916Z return mod(*inputs) 2025-08-14T21:42:03.1471223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1471567Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1471929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:42:03.1472287Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:42:03.1472605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:42:03.1472940Z cur = self.mlp(cur) 2025-08-14T21:42:03.1473242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:42:03.1473573Z x = self.fc2(x) 2025-08-14T21:42:03.1473678Z 2025-08-14T21:42:03.1473788Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1474165Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1474499Z return mod(*inputs) 2025-08-14T21:42:03.1474800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1475136Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1475486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 578, in forward_features 2025-08-14T21:42:03.1475940Z x1_nocls = remove_cls(x1).reshape(B, H1, W1, -1).permute(0, 3, 1, 2).contiguous() 2025-08-14T21:42:03.1476166Z 2025-08-14T21:42:03.1476276Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1476653Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1476981Z return mod(*inputs) 2025-08-14T21:42:03.1477286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1477626Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1477990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 581, in forward_features 2025-08-14T21:42:03.1478355Z x2 = self.patch_embed2(x1_nocls) 2025-08-14T21:42:03.1478712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-08-14T21:42:03.1479173Z x = self.proj(x) 2025-08-14T21:42:03.1479282Z 2025-08-14T21:42:03.1479390Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1479772Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1480117Z return mod(*inputs) 2025-08-14T21:42:03.1480427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1480766Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1481132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 581, in forward_features 2025-08-14T21:42:03.1481502Z x2 = self.patch_embed2(x1_nocls) 2025-08-14T21:42:03.1481910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 136, in forward 2025-08-14T21:42:03.1482262Z x = self.norm(x) 2025-08-14T21:42:03.1482374Z 2025-08-14T21:42:03.1482484Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1482880Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1483210Z return mod(*inputs) 2025-08-14T21:42:03.1483515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1483852Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1484212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 583, in forward_features 2025-08-14T21:42:03.1484561Z x2 = insert_cls(x2, self.cls_token2) 2025-08-14T21:42:03.1484893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 677, in insert_cls 2025-08-14T21:42:03.1485230Z x = torch.cat((cls_tokens, x), dim=1) 2025-08-14T21:42:03.1485362Z 2025-08-14T21:42:03.1485465Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1485823Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1486144Z return mod(*inputs) 2025-08-14T21:42:03.1486427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1486749Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1487088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1487431Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1487728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:42:03.1488064Z x = self.cpe(x, size) 2025-08-14T21:42:03.1488389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-08-14T21:42:03.1488699Z x = self.proj(feat) + feat 2025-08-14T21:42:03.1488824Z 2025-08-14T21:42:03.1488906Z cudagraph partition due to non gpu ops 2025-08-14T21:42:03.1489130Z cudagraph partition due to non gpu ops 2025-08-14T21:42:03.1489388Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1489759Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1490094Z return mod(*inputs) 2025-08-14T21:42:03.1490397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1490733Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1491092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1491448Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1491770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:42:03.1492095Z x = self.cpe(x, size) 2025-08-14T21:42:03.1492416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 162, in forward 2025-08-14T21:42:03.1492759Z x = torch.cat((cls_token, x), dim=1) 2025-08-14T21:42:03.1492934Z 2025-08-14T21:42:03.1493045Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1493444Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1493807Z return mod(*inputs) 2025-08-14T21:42:03.1494120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1494470Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1494834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1495201Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1495559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1495915Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1496265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 118, in forward 2025-08-14T21:42:03.1496738Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:42:03.1496966Z 2025-08-14T21:42:03.1497075Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1497459Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1497813Z return mod(*inputs) 2025-08-14T21:42:03.1498121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1498479Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1498843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1499200Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1499516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1499860Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1500211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:42:03.1500560Z k_softmax = k.softmax(dim=2) 2025-08-14T21:42:03.1500701Z 2025-08-14T21:42:03.1500813Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1501220Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1501575Z return mod(*inputs) 2025-08-14T21:42:03.1501882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1502232Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1502612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1502973Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1503302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1503657Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1504002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:42:03.1504345Z k_softmax = k.softmax(dim=2) 2025-08-14T21:42:03.1504482Z 2025-08-14T21:42:03.1504591Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1504977Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1505435Z return mod(*inputs) 2025-08-14T21:42:03.1505748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1506103Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1506481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1506846Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1507185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1507572Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1507902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:42:03.1508235Z k_softmax = k.softmax(dim=2) 2025-08-14T21:42:03.1508369Z 2025-08-14T21:42:03.1508477Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1508858Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1509191Z return mod(*inputs) 2025-08-14T21:42:03.1509540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1509886Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1510240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1510604Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1510943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1511280Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1511612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:42:03.1511949Z k_softmax = k.softmax(dim=2) 2025-08-14T21:42:03.1512074Z 2025-08-14T21:42:03.1512190Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1512571Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1512907Z return mod(*inputs) 2025-08-14T21:42:03.1513214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1513553Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1513907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1514285Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1514606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1514949Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1515282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:42:03.1515645Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:42:03.1515805Z 2025-08-14T21:42:03.1515922Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1516301Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1516649Z return mod(*inputs) 2025-08-14T21:42:03.1516954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1517294Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1517649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1518010Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1518326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1518663Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1519001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:42:03.1519357Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:42:03.1519514Z 2025-08-14T21:42:03.1519629Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1520003Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1520345Z return mod(*inputs) 2025-08-14T21:42:03.1520654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1520968Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1521343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1521683Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1521990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1522322Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1522655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:42:03.1522987Z factor_att = q @ factor_att 2025-08-14T21:42:03.1523106Z 2025-08-14T21:42:03.1523213Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1523626Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1523972Z return mod(*inputs) 2025-08-14T21:42:03.1524272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1524637Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1524996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1525357Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1525663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1526005Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1526346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:42:03.1526823Z factor_att = q @ factor_att 2025-08-14T21:42:03.1526949Z 2025-08-14T21:42:03.1527065Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1527452Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1527798Z return mod(*inputs) 2025-08-14T21:42:03.1528102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1528453Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1528821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1529191Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1529507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1529856Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1530199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:42:03.1530558Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:42:03.1530926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:42:03.1531269Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:42:03.1531416Z 2025-08-14T21:42:03.1531529Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1531883Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1532225Z return mod(*inputs) 2025-08-14T21:42:03.1532529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1532862Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1533224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1533587Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1533919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1534234Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1534555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:42:03.1534899Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:42:03.1535308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:42:03.1535690Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:42:03.1535847Z 2025-08-14T21:42:03.1535956Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1536334Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1536667Z return mod(*inputs) 2025-08-14T21:42:03.1536994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1537359Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1537791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1538164Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1538505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1538878Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1539225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:42:03.1539607Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:42:03.1539983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:42:03.1540357Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:42:03.1540512Z 2025-08-14T21:42:03.1540601Z cudagraph partition due to non gpu ops 2025-08-14T21:42:03.1540833Z cudagraph partition due to non gpu ops 2025-08-14T21:42:03.1541066Z cudagraph partition due to non gpu ops 2025-08-14T21:42:03.1541318Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1541711Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1542068Z return mod(*inputs) 2025-08-14T21:42:03.1542392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1542757Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1543133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1543511Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1543833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1544186Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1544538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:42:03.1544905Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:42:03.1545428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 82, in forward 2025-08-14T21:42:03.1545831Z conv_v_img = torch.cat(conv_v_img_list, dim=1) 2025-08-14T21:42:03.1546003Z 2025-08-14T21:42:03.1546126Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1546527Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1546878Z return mod(*inputs) 2025-08-14T21:42:03.1547193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1547536Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1547897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1548262Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1548586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1548929Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1549274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 131, in forward 2025-08-14T21:42:03.1549726Z x = x.transpose(1, 2).reshape(B, N, C) # [B, h, N, Ch] -> [B, N, h, Ch] -> [B, N, C] 2025-08-14T21:42:03.1549936Z 2025-08-14T21:42:03.1550054Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1550438Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1550782Z return mod(*inputs) 2025-08-14T21:42:03.1551088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1551421Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1551787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1552182Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1552504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1552838Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1553241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 134, in forward 2025-08-14T21:42:03.1553564Z x = self.proj(x) 2025-08-14T21:42:03.1553669Z 2025-08-14T21:42:03.1553777Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1554155Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1554493Z return mod(*inputs) 2025-08-14T21:42:03.1554794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1555125Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1555491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1555857Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1556174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:42:03.1556503Z cur = self.mlp(cur) 2025-08-14T21:42:03.1556817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:42:03.1557141Z x = self.fc1(x) 2025-08-14T21:42:03.1557241Z 2025-08-14T21:42:03.1557347Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1557726Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1558072Z return mod(*inputs) 2025-08-14T21:42:03.1558379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1558738Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1559085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1559432Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1559755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:42:03.1560087Z cur = self.mlp(cur) 2025-08-14T21:42:03.1560393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:42:03.1560709Z x = self.act(x) 2025-08-14T21:42:03.1560816Z 2025-08-14T21:42:03.1560921Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1561302Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1561647Z return mod(*inputs) 2025-08-14T21:42:03.1561943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1562277Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1562620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1562953Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1563255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:42:03.1563592Z cur = self.mlp(cur) 2025-08-14T21:42:03.1563878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:42:03.1564175Z x = self.fc2(x) 2025-08-14T21:42:03.1564278Z 2025-08-14T21:42:03.1564381Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1564738Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1565049Z return mod(*inputs) 2025-08-14T21:42:03.1565341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1565665Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1566049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1566384Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1566681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 220, in forward 2025-08-14T21:42:03.1567016Z x = x + self.drop_path(cur) 2025-08-14T21:42:03.1567128Z 2025-08-14T21:42:03.1567230Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1567589Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1567908Z return mod(*inputs) 2025-08-14T21:42:03.1568192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1568505Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1568868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1569240Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1569532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:42:03.1569852Z x = self.cpe(x, size) 2025-08-14T21:42:03.1570171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-08-14T21:42:03.1570516Z x = self.proj(feat) + feat 2025-08-14T21:42:03.1570634Z 2025-08-14T21:42:03.1570714Z cudagraph partition due to non gpu ops 2025-08-14T21:42:03.1570929Z cudagraph partition due to non gpu ops 2025-08-14T21:42:03.1571166Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1571516Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1571835Z return mod(*inputs) 2025-08-14T21:42:03.1572124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1572441Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1572781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1573123Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1573421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:42:03.1573731Z x = self.cpe(x, size) 2025-08-14T21:42:03.1574033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 162, in forward 2025-08-14T21:42:03.1574354Z x = torch.cat((cls_token, x), dim=1) 2025-08-14T21:42:03.1574485Z 2025-08-14T21:42:03.1574597Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1574948Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1575270Z return mod(*inputs) 2025-08-14T21:42:03.1575561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1575874Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1576218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1576570Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1576896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1577218Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1577592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 118, in forward 2025-08-14T21:42:03.1578000Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:42:03.1578215Z 2025-08-14T21:42:03.1578320Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1578679Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1579003Z return mod(*inputs) 2025-08-14T21:42:03.1579334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1579684Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1580048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1580435Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1580744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1581099Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1581450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:42:03.1581798Z k_softmax = k.softmax(dim=2) 2025-08-14T21:42:03.1581925Z 2025-08-14T21:42:03.1582035Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1582418Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1582758Z return mod(*inputs) 2025-08-14T21:42:03.1583066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1583414Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1583780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1584140Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1584453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1584795Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1585129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:42:03.1585562Z k_softmax = k.softmax(dim=2) 2025-08-14T21:42:03.1585706Z 2025-08-14T21:42:03.1585820Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1586222Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1586577Z return mod(*inputs) 2025-08-14T21:42:03.1586891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1587223Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1587580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1587909Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1588217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1588542Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1588865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:42:03.1589197Z k_softmax = k.softmax(dim=2) 2025-08-14T21:42:03.1589333Z 2025-08-14T21:42:03.1589447Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1589832Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1590164Z return mod(*inputs) 2025-08-14T21:42:03.1590476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1590850Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1591195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1591529Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1591834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1592158Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1592469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:42:03.1592785Z k_softmax = k.softmax(dim=2) 2025-08-14T21:42:03.1592908Z 2025-08-14T21:42:03.1593044Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1593408Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1593714Z return mod(*inputs) 2025-08-14T21:42:03.1594017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1594329Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1594653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1594983Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1595272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1595590Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1595901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:42:03.1596244Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:42:03.1596394Z 2025-08-14T21:42:03.1596506Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1596862Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1597180Z return mod(*inputs) 2025-08-14T21:42:03.1597469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1597789Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1598120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1598460Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1598756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1599067Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1599386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:42:03.1599721Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:42:03.1599869Z 2025-08-14T21:42:03.1599980Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1600332Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1600658Z return mod(*inputs) 2025-08-14T21:42:03.1600943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1601264Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1601600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1601960Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1602261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1602576Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1602898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:42:03.1603211Z factor_att = q @ factor_att 2025-08-14T21:42:03.1603323Z 2025-08-14T21:42:03.1603433Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1603813Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1604139Z return mod(*inputs) 2025-08-14T21:42:03.1604428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1604742Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1605091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1605431Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1605731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1606084Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1606407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:42:03.1606722Z factor_att = q @ factor_att 2025-08-14T21:42:03.1606855Z 2025-08-14T21:42:03.1606958Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1607318Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1607645Z return mod(*inputs) 2025-08-14T21:42:03.1607943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1608260Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1608609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1608956Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1609254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1609582Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1609911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:42:03.1610257Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:42:03.1610592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:42:03.1610930Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:42:03.1611074Z 2025-08-14T21:42:03.1611185Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1611543Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1611860Z return mod(*inputs) 2025-08-14T21:42:03.1612143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1612459Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1612792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1613128Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1613421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1613735Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1614050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:42:03.1614390Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:42:03.1614710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:42:03.1615019Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:42:03.1615163Z 2025-08-14T21:42:03.1615259Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1615601Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1615900Z return mod(*inputs) 2025-08-14T21:42:03.1616178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1616484Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1616840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1617157Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1617448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1617764Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1618070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:42:03.1618401Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:42:03.1618725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:42:03.1619098Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:42:03.1619254Z 2025-08-14T21:42:03.1619342Z cudagraph partition due to non gpu ops 2025-08-14T21:42:03.1619576Z cudagraph partition due to non gpu ops 2025-08-14T21:42:03.1619825Z cudagraph partition due to non gpu ops 2025-08-14T21:42:03.1620068Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1620448Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1620792Z return mod(*inputs) 2025-08-14T21:42:03.1621108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1621452Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1621825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1622187Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1622509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1622874Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1623227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:42:03.1623587Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:42:03.1623933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 82, in forward 2025-08-14T21:42:03.1624290Z conv_v_img = torch.cat(conv_v_img_list, dim=1) 2025-08-14T21:42:03.1624444Z 2025-08-14T21:42:03.1624561Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1624943Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1625372Z return mod(*inputs) 2025-08-14T21:42:03.1625685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1626036Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1626410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1626908Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1627219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1627535Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1627857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 131, in forward 2025-08-14T21:42:03.1628271Z x = x.transpose(1, 2).reshape(B, N, C) # [B, h, N, Ch] -> [B, N, h, Ch] -> [B, N, C] 2025-08-14T21:42:03.1628481Z 2025-08-14T21:42:03.1628600Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1628975Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1629327Z return mod(*inputs) 2025-08-14T21:42:03.1629642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1629983Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1630342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1630757Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1631073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1631407Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1631742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 134, in forward 2025-08-14T21:42:03.1632072Z x = self.proj(x) 2025-08-14T21:42:03.1632176Z 2025-08-14T21:42:03.1632291Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1632664Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1633070Z return mod(*inputs) 2025-08-14T21:42:03.1633377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1633709Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1634075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1634461Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1634776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:42:03.1635098Z cur = self.mlp(cur) 2025-08-14T21:42:03.1635408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:42:03.1635739Z x = self.fc1(x) 2025-08-14T21:42:03.1635838Z 2025-08-14T21:42:03.1635947Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1636330Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1636677Z return mod(*inputs) 2025-08-14T21:42:03.1636985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1637323Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1637686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1638044Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1638369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:42:03.1638703Z cur = self.mlp(cur) 2025-08-14T21:42:03.1639013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:42:03.1639310Z x = self.act(x) 2025-08-14T21:42:03.1639411Z 2025-08-14T21:42:03.1639513Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1639871Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1640188Z return mod(*inputs) 2025-08-14T21:42:03.1640469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1640793Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1641140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:42:03.1641480Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:42:03.1641785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:42:03.1642096Z cur = self.mlp(cur) 2025-08-14T21:42:03.1642379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:42:03.1642677Z x = self.fc2(x) 2025-08-14T21:42:03.1642778Z 2025-08-14T21:42:03.1642880Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1643239Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1643550Z return mod(*inputs) 2025-08-14T21:42:03.1643844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1644160Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1644397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 586, in forward_features 2025-08-14T21:42:03.1644556Z x2_nocls = remove_cls(x2).reshape(B, H2, W2, -1).permute(0, 3, 1, 2).contiguous() 2025-08-14T21:42:03.1644560Z 2025-08-14T21:42:03.1644662Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1644860Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1644930Z return mod(*inputs) 2025-08-14T21:42:03.1645112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1645225Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1645438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 589, in forward_features 2025-08-14T21:42:03.1645516Z x3 = self.patch_embed3(x2_nocls) 2025-08-14T21:42:03.1645730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-08-14T21:42:03.1645811Z x = self.proj(x) 2025-08-14T21:42:03.1645815Z 2025-08-14T21:42:03.1645924Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1646118Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1646181Z return mod(*inputs) 2025-08-14T21:42:03.1646373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1646447Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1646661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 589, in forward_features 2025-08-14T21:42:03.1646743Z x3 = self.patch_embed3(x2_nocls) 2025-08-14T21:42:03.1646950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 136, in forward 2025-08-14T21:42:03.1647019Z x = self.norm(x) 2025-08-14T21:42:03.1647025Z 2025-08-14T21:42:03.1647130Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1647326Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1647397Z return mod(*inputs) 2025-08-14T21:42:03.1647579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1647654Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1647870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 591, in forward_features 2025-08-14T21:42:03.1647947Z x3 = insert_cls(x3, self.cls_token3) 2025-08-14T21:42:03.1648151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 677, in insert_cls 2025-08-14T21:42:03.1648230Z x = torch.cat((cls_tokens, x), dim=1) 2025-08-14T21:42:03.1648234Z 2025-08-14T21:42:03.1648337Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1648540Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1648604Z return mod(*inputs) 2025-08-14T21:42:03.1648786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1648869Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1649082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1649160Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1649341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:42:03.1649410Z x = self.cpe(x, size) 2025-08-14T21:42:03.1649603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-08-14T21:42:03.1649676Z x = self.proj(feat) + feat 2025-08-14T21:42:03.1649679Z 2025-08-14T21:42:03.1649761Z cudagraph partition due to non gpu ops 2025-08-14T21:42:03.1649912Z cudagraph partition due to non gpu ops 2025-08-14T21:42:03.1650015Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1650214Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1650279Z return mod(*inputs) 2025-08-14T21:42:03.1650462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1650542Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1650754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1650823Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1651044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:42:03.1651115Z x = self.cpe(x, size) 2025-08-14T21:42:03.1651307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 162, in forward 2025-08-14T21:42:03.1651403Z x = torch.cat((cls_token, x), dim=1) 2025-08-14T21:42:03.1651407Z 2025-08-14T21:42:03.1651507Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1651715Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1651779Z return mod(*inputs) 2025-08-14T21:42:03.1651964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1652046Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1652264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1652341Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1652525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1652603Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1652797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 118, in forward 2025-08-14T21:42:03.1652959Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:42:03.1652963Z 2025-08-14T21:42:03.1653073Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1653270Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1653335Z return mod(*inputs) 2025-08-14T21:42:03.1653531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1653605Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1653822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1653897Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1654089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1654177Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1654355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:42:03.1654425Z k_softmax = k.softmax(dim=2) 2025-08-14T21:42:03.1654428Z 2025-08-14T21:42:03.1654534Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1654726Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1654788Z return mod(*inputs) 2025-08-14T21:42:03.1654974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1655048Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1655263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1655329Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1655525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1655608Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1655787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:42:03.1655857Z k_softmax = k.softmax(dim=2) 2025-08-14T21:42:03.1655867Z 2025-08-14T21:42:03.1655965Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1656154Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1656224Z return mod(*inputs) 2025-08-14T21:42:03.1656440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1656513Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1656726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1656810Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1656999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1657074Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1657253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:42:03.1657328Z k_softmax = k.softmax(dim=2) 2025-08-14T21:42:03.1657332Z 2025-08-14T21:42:03.1657431Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1657620Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1657691Z return mod(*inputs) 2025-08-14T21:42:03.1657874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1657954Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1658172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1658242Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1658431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1658508Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1658690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:42:03.1658768Z k_softmax = k.softmax(dim=2) 2025-08-14T21:42:03.1658772Z 2025-08-14T21:42:03.1658873Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1659075Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1659143Z return mod(*inputs) 2025-08-14T21:42:03.1659324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1659404Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1659625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1659700Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1659915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1659995Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1660206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:42:03.1660308Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:42:03.1660312Z 2025-08-14T21:42:03.1660420Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1660642Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1660713Z return mod(*inputs) 2025-08-14T21:42:03.1660930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1661039Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1661263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1661344Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1661546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1661627Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1661832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:42:03.1661932Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:42:03.1661936Z 2025-08-14T21:42:03.1662051Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1662285Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1662356Z return mod(*inputs) 2025-08-14T21:42:03.1662560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1662659Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1662886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1662965Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1663167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1663253Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1663457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:42:03.1663529Z factor_att = q @ factor_att 2025-08-14T21:42:03.1663533Z 2025-08-14T21:42:03.1663652Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1663858Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1663927Z return mod(*inputs) 2025-08-14T21:42:03.1664139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1664215Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1664448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1664518Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1664720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1664807Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1665009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:42:03.1665083Z factor_att = q @ factor_att 2025-08-14T21:42:03.1665097Z 2025-08-14T21:42:03.1665274Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1665492Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1665576Z return mod(*inputs) 2025-08-14T21:42:03.1665787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1665866Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1666103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1666178Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1666383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1666469Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1666650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:42:03.1666762Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:42:03.1666947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:42:03.1667037Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:42:03.1667064Z 2025-08-14T21:42:03.1667178Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1667371Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1667444Z return mod(*inputs) 2025-08-14T21:42:03.1667626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1667699Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1667917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1667984Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1668212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1668299Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1668479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:42:03.1668602Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:42:03.1668783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:42:03.1668874Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:42:03.1668877Z 2025-08-14T21:42:03.1668990Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1669197Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1669264Z return mod(*inputs) 2025-08-14T21:42:03.1669461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1669541Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1669767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1669836Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1670031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1670119Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1670309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:42:03.1670406Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:42:03.1670604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:42:03.1670694Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:42:03.1670698Z 2025-08-14T21:42:03.1670788Z cudagraph partition due to non gpu ops 2025-08-14T21:42:03.1670873Z cudagraph partition due to non gpu ops 2025-08-14T21:42:03.1670956Z cudagraph partition due to non gpu ops 2025-08-14T21:42:03.1671071Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1671276Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1671357Z return mod(*inputs) 2025-08-14T21:42:03.1671548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1671620Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1671833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1671900Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1672079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1672163Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1672345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:42:03.1672436Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:42:03.1672625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 82, in forward 2025-08-14T21:42:03.1672738Z conv_v_img = torch.cat(conv_v_img_list, dim=1) 2025-08-14T21:42:03.1672742Z 2025-08-14T21:42:03.1672850Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1673046Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1673109Z return mod(*inputs) 2025-08-14T21:42:03.1673298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1673371Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1673590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1673686Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1673869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1673953Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1674134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 131, in forward 2025-08-14T21:42:03.1674294Z x = x.transpose(1, 2).reshape(B, N, C) # [B, h, N, Ch] -> [B, N, h, Ch] -> [B, N, C] 2025-08-14T21:42:03.1674306Z 2025-08-14T21:42:03.1674409Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1674605Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1674678Z return mod(*inputs) 2025-08-14T21:42:03.1674860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1674934Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1675156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1675225Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1675405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1675492Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1675674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 134, in forward 2025-08-14T21:42:03.1675746Z x = self.proj(x) 2025-08-14T21:42:03.1675749Z 2025-08-14T21:42:03.1675849Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1676044Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1676119Z return mod(*inputs) 2025-08-14T21:42:03.1676301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1676383Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1676598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1676665Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1676853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:42:03.1676921Z cur = self.mlp(cur) 2025-08-14T21:42:03.1677102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:42:03.1677175Z x = self.fc1(x) 2025-08-14T21:42:03.1677178Z 2025-08-14T21:42:03.1677279Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1677480Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1677547Z return mod(*inputs) 2025-08-14T21:42:03.1677737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1677826Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1678048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1678118Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1678319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:42:03.1678407Z cur = self.mlp(cur) 2025-08-14T21:42:03.1678606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:42:03.1678672Z x = self.act(x) 2025-08-14T21:42:03.1678676Z 2025-08-14T21:42:03.1678783Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1679000Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1679063Z return mod(*inputs) 2025-08-14T21:42:03.1679243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1679357Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1679572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1679645Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1679854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:42:03.1679918Z cur = self.mlp(cur) 2025-08-14T21:42:03.1680106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:42:03.1680167Z x = self.fc2(x) 2025-08-14T21:42:03.1680171Z 2025-08-14T21:42:03.1680274Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1680476Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1680540Z return mod(*inputs) 2025-08-14T21:42:03.1680727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1680804Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1681027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1681105Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1681302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 220, in forward 2025-08-14T21:42:03.1681376Z x = x + self.drop_path(cur) 2025-08-14T21:42:03.1681380Z 2025-08-14T21:42:03.1681494Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1681728Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1681804Z return mod(*inputs) 2025-08-14T21:42:03.1681994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1682071Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1682302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1682372Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1682562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:42:03.1682645Z x = self.cpe(x, size) 2025-08-14T21:42:03.1682841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-08-14T21:42:03.1682919Z x = self.proj(feat) + feat 2025-08-14T21:42:03.1682923Z 2025-08-14T21:42:03.1683003Z cudagraph partition due to non gpu ops 2025-08-14T21:42:03.1683080Z cudagraph partition due to non gpu ops 2025-08-14T21:42:03.1683188Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1683382Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1683444Z return mod(*inputs) 2025-08-14T21:42:03.1683633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1683705Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1683922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1684011Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1684194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:42:03.1684271Z x = self.cpe(x, size) 2025-08-14T21:42:03.1684455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 162, in forward 2025-08-14T21:42:03.1684530Z x = torch.cat((cls_token, x), dim=1) 2025-08-14T21:42:03.1684540Z 2025-08-14T21:42:03.1684641Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1684838Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1684911Z return mod(*inputs) 2025-08-14T21:42:03.1685130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1685204Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1685424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1685512Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1685704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1685783Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1685964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 118, in forward 2025-08-14T21:42:03.1686132Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:42:03.1686136Z 2025-08-14T21:42:03.1686238Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1686438Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1686511Z return mod(*inputs) 2025-08-14T21:42:03.1686694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1686774Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1686988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1687056Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1687244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1687322Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1687510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:42:03.1687589Z k_softmax = k.softmax(dim=2) 2025-08-14T21:42:03.1687593Z 2025-08-14T21:42:03.1687692Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1687891Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1687956Z return mod(*inputs) 2025-08-14T21:42:03.1688134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1688219Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1688429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1688496Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1688685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1688763Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1688962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:42:03.1689038Z k_softmax = k.softmax(dim=2) 2025-08-14T21:42:03.1689041Z 2025-08-14T21:42:03.1689150Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1689368Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1689439Z return mod(*inputs) 2025-08-14T21:42:03.1689649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1689751Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1689973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1690049Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1690240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1690320Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1690518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:42:03.1690592Z k_softmax = k.softmax(dim=2) 2025-08-14T21:42:03.1690627Z 2025-08-14T21:42:03.1690752Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1690946Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1691011Z return mod(*inputs) 2025-08-14T21:42:03.1691219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1691291Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1691500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1691574Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1691754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1691836Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1692029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:42:03.1692100Z k_softmax = k.softmax(dim=2) 2025-08-14T21:42:03.1692104Z 2025-08-14T21:42:03.1692210Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1692397Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1692462Z return mod(*inputs) 2025-08-14T21:42:03.1692644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1692715Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1692924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1692988Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1693163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1693247Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1693425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:42:03.1693517Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:42:03.1693528Z 2025-08-14T21:42:03.1693625Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1693814Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1693885Z return mod(*inputs) 2025-08-14T21:42:03.1694060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1694132Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1694344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1694409Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1694589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1694663Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1694840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:42:03.1694939Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:42:03.1694942Z 2025-08-14T21:42:03.1695038Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1695248Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1695318Z return mod(*inputs) 2025-08-14T21:42:03.1695493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1695569Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1695774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1695838Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1696024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1696135Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1696313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:42:03.1696385Z factor_att = q @ factor_att 2025-08-14T21:42:03.1696420Z 2025-08-14T21:42:03.1696520Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1696716Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1696778Z return mod(*inputs) 2025-08-14T21:42:03.1696955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1697033Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1697236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1697301Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1697485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1697561Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1697743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:42:03.1697810Z factor_att = q @ factor_att 2025-08-14T21:42:03.1697814Z 2025-08-14T21:42:03.1697912Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1698109Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1698171Z return mod(*inputs) 2025-08-14T21:42:03.1698356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1698428Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1698633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1698708Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1698895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1698971Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1699160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:42:03.1699265Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:42:03.1699468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:42:03.1699563Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:42:03.1699567Z 2025-08-14T21:42:03.1699674Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1699885Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1699952Z return mod(*inputs) 2025-08-14T21:42:03.1700155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1700242Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1700466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1700542Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1700758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1700838Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1701043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:42:03.1701141Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:42:03.1701336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:42:03.1701436Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:42:03.1701440Z 2025-08-14T21:42:03.1701547Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1701810Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1701880Z return mod(*inputs) 2025-08-14T21:42:03.1702080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1702187Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1702410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1702487Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1702688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1702768Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1702966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:42:03.1703064Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:42:03.1703269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:42:03.1703365Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:42:03.1703369Z 2025-08-14T21:42:03.1703451Z cudagraph partition due to non gpu ops 2025-08-14T21:42:03.1703541Z cudagraph partition due to non gpu ops 2025-08-14T21:42:03.1703623Z cudagraph partition due to non gpu ops 2025-08-14T21:42:03.1703730Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1703942Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1704009Z return mod(*inputs) 2025-08-14T21:42:03.1704214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1704297Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1704521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1704602Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1704793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1704874Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1705076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:42:03.1705244Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:42:03.1705458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 82, in forward 2025-08-14T21:42:03.1705565Z conv_v_img = torch.cat(conv_v_img_list, dim=1) 2025-08-14T21:42:03.1705569Z 2025-08-14T21:42:03.1705678Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1705894Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1705964Z return mod(*inputs) 2025-08-14T21:42:03.1706171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1706257Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1706486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1706585Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1706785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1706868Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1707081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 131, in forward 2025-08-14T21:42:03.1707228Z x = x.transpose(1, 2).reshape(B, N, C) # [B, h, N, Ch] -> [B, N, h, Ch] -> [B, N, C] 2025-08-14T21:42:03.1707232Z 2025-08-14T21:42:03.1707341Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1707559Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1707656Z return mod(*inputs) 2025-08-14T21:42:03.1707858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1707936Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1708175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1708252Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1708443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1708524Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1708725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 134, in forward 2025-08-14T21:42:03.1708791Z x = self.proj(x) 2025-08-14T21:42:03.1708794Z 2025-08-14T21:42:03.1708906Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1709114Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1709180Z return mod(*inputs) 2025-08-14T21:42:03.1709377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1709457Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1709682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1709760Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1709952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:42:03.1710028Z cur = self.mlp(cur) 2025-08-14T21:42:03.1710218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:42:03.1710283Z x = self.fc1(x) 2025-08-14T21:42:03.1710287Z 2025-08-14T21:42:03.1710401Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1710608Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1710675Z return mod(*inputs) 2025-08-14T21:42:03.1710875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1710955Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1711182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1711251Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1711441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:42:03.1711517Z cur = self.mlp(cur) 2025-08-14T21:42:03.1711709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:42:03.1711774Z x = self.act(x) 2025-08-14T21:42:03.1711778Z 2025-08-14T21:42:03.1711893Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1712101Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1712177Z return mod(*inputs) 2025-08-14T21:42:03.1712368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1712471Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1712703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:42:03.1712773Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:42:03.1712964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:42:03.1713041Z cur = self.mlp(cur) 2025-08-14T21:42:03.1713230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:42:03.1713302Z x = self.fc2(x) 2025-08-14T21:42:03.1713306Z 2025-08-14T21:42:03.1713413Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1713644Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1713721Z return mod(*inputs) 2025-08-14T21:42:03.1713915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1714014Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1714242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 594, in forward_features 2025-08-14T21:42:03.1714401Z x3_nocls = remove_cls(x3).reshape(B, H3, W3, -1).permute(0, 3, 1, 2).contiguous() 2025-08-14T21:42:03.1714405Z 2025-08-14T21:42:03.1714522Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1714724Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1714789Z return mod(*inputs) 2025-08-14T21:42:03.1714997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1715070Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1715286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 597, in forward_features 2025-08-14T21:42:03.1715365Z x4 = self.patch_embed4(x3_nocls) 2025-08-14T21:42:03.1715573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-08-14T21:42:03.1715642Z x = self.proj(x) 2025-08-14T21:42:03.1715645Z 2025-08-14T21:42:03.1715747Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1715940Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1716011Z return mod(*inputs) 2025-08-14T21:42:03.1716191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1716272Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1716485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 597, in forward_features 2025-08-14T21:42:03.1716561Z x4 = self.patch_embed4(x3_nocls) 2025-08-14T21:42:03.1716775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 136, in forward 2025-08-14T21:42:03.1716840Z x = self.norm(x) 2025-08-14T21:42:03.1716843Z 2025-08-14T21:42:03.1716945Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1717147Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1717210Z return mod(*inputs) 2025-08-14T21:42:03.1717407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1717483Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1717706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 599, in forward_features 2025-08-14T21:42:03.1717797Z x4 = insert_cls(x4, self.cls_token4) 2025-08-14T21:42:03.1718003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 677, in insert_cls 2025-08-14T21:42:03.1718084Z x = torch.cat((cls_tokens, x), dim=1) 2025-08-14T21:42:03.1718120Z 2025-08-14T21:42:03.1718230Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1718432Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1718509Z return mod(*inputs) 2025-08-14T21:42:03.1718700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1718778Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1719006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1719077Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1719307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:42:03.1719383Z x = self.cpe(x, size) 2025-08-14T21:42:03.1719577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-08-14T21:42:03.1719660Z x = self.proj(feat) + feat 2025-08-14T21:42:03.1719681Z 2025-08-14T21:42:03.1719766Z cudagraph partition due to non gpu ops 2025-08-14T21:42:03.1719849Z cudagraph partition due to non gpu ops 2025-08-14T21:42:03.1719973Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1720166Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1720238Z return mod(*inputs) 2025-08-14T21:42:03.1720419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1720491Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1720710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1720778Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1720958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:42:03.1721035Z x = self.cpe(x, size) 2025-08-14T21:42:03.1721218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 162, in forward 2025-08-14T21:42:03.1721300Z x = torch.cat((cls_token, x), dim=1) 2025-08-14T21:42:03.1721303Z 2025-08-14T21:42:03.1721404Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1721594Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1721663Z return mod(*inputs) 2025-08-14T21:42:03.1721847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1721919Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1722137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1722202Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1722388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1722468Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1722650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 118, in forward 2025-08-14T21:42:03.1722816Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:42:03.1722820Z 2025-08-14T21:42:03.1722922Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1723113Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1723184Z return mod(*inputs) 2025-08-14T21:42:03.1723365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1723446Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1723656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1723723Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1723932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1724007Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1724188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:42:03.1724267Z k_softmax = k.softmax(dim=2) 2025-08-14T21:42:03.1724271Z 2025-08-14T21:42:03.1724372Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1724575Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1724639Z return mod(*inputs) 2025-08-14T21:42:03.1724869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1724954Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1725164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1725263Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1725447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1725523Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1725712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:42:03.1725784Z k_softmax = k.softmax(dim=2) 2025-08-14T21:42:03.1725788Z 2025-08-14T21:42:03.1725891Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1726101Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1726165Z return mod(*inputs) 2025-08-14T21:42:03.1726364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1726439Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1726822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1726911Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1727097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1727177Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1727370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:42:03.1727443Z k_softmax = k.softmax(dim=2) 2025-08-14T21:42:03.1727447Z 2025-08-14T21:42:03.1727557Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1727754Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1727823Z return mod(*inputs) 2025-08-14T21:42:03.1728015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1728089Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1728305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1728382Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1728564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1728652Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1728833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:42:03.1728903Z k_softmax = k.softmax(dim=2) 2025-08-14T21:42:03.1728906Z 2025-08-14T21:42:03.1729020Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1729224Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1729295Z return mod(*inputs) 2025-08-14T21:42:03.1729476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1730252Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1730480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1730549Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1730740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1730828Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1731017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:42:03.1731125Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:42:03.1731129Z 2025-08-14T21:42:03.1731240Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1731501Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1731579Z return mod(*inputs) 2025-08-14T21:42:03.1731775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1731895Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1732124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1732194Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1732392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1732472Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1732662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:42:03.1732766Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:42:03.1732770Z 2025-08-14T21:42:03.1732879Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1733086Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1733161Z return mod(*inputs) 2025-08-14T21:42:03.1733357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1733441Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1733663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1733733Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1733936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1734016Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1734206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:42:03.1734289Z factor_att = q @ factor_att 2025-08-14T21:42:03.1734293Z 2025-08-14T21:42:03.1734399Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1734611Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1734682Z return mod(*inputs) 2025-08-14T21:42:03.1734871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1734956Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1735176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1735253Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1735443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1735522Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1735722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:42:03.1735792Z factor_att = q @ factor_att 2025-08-14T21:42:03.1735795Z 2025-08-14T21:42:03.1735901Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1736114Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1736209Z return mod(*inputs) 2025-08-14T21:42:03.1736407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1736484Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1736706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1736783Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1736975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1737053Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1737290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:42:03.1737394Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:42:03.1737594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:42:03.1737742Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:42:03.1737746Z 2025-08-14T21:42:03.1737853Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1738067Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1738136Z return mod(*inputs) 2025-08-14T21:42:03.1738326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1738411Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1738633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1738713Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1738908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1738991Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1739195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:42:03.1739297Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:42:03.1739492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:42:03.1739593Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:42:03.1739597Z 2025-08-14T21:42:03.1739702Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1739917Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1739985Z return mod(*inputs) 2025-08-14T21:42:03.1740179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1740263Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1740487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1740565Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1740755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1740836Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1741033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:42:03.1741130Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:42:03.1741323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:42:03.1741422Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:42:03.1741425Z 2025-08-14T21:42:03.1741513Z cudagraph partition due to non gpu ops 2025-08-14T21:42:03.1741613Z cudagraph partition due to non gpu ops 2025-08-14T21:42:03.1741693Z cudagraph partition due to non gpu ops 2025-08-14T21:42:03.1741798Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1742034Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1742103Z return mod(*inputs) 2025-08-14T21:42:03.1742298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1742385Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1742609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1742689Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1742884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1742999Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1743202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:42:03.1743297Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:42:03.1743490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 82, in forward 2025-08-14T21:42:03.1743614Z conv_v_img = torch.cat(conv_v_img_list, dim=1) 2025-08-14T21:42:03.1743618Z 2025-08-14T21:42:03.1743725Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1743936Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1744003Z return mod(*inputs) 2025-08-14T21:42:03.1744193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1744276Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1744499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1744569Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1744769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1744854Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1745051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 131, in forward 2025-08-14T21:42:03.1745258Z x = x.transpose(1, 2).reshape(B, N, C) # [B, h, N, Ch] -> [B, N, h, Ch] -> [B, N, C] 2025-08-14T21:42:03.1745266Z 2025-08-14T21:42:03.1745380Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1745596Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1745665Z return mod(*inputs) 2025-08-14T21:42:03.1745872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1745957Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1746195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1746275Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1746466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1746549Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1746748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 134, in forward 2025-08-14T21:42:03.1746827Z x = self.proj(x) 2025-08-14T21:42:03.1746830Z 2025-08-14T21:42:03.1746937Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1747133Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1747196Z return mod(*inputs) 2025-08-14T21:42:03.1747383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1747459Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1747666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1747740Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1747954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:42:03.1748024Z cur = self.mlp(cur) 2025-08-14T21:42:03.1748206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:42:03.1748272Z x = self.fc1(x) 2025-08-14T21:42:03.1748275Z 2025-08-14T21:42:03.1748388Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1748592Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1748658Z return mod(*inputs) 2025-08-14T21:42:03.1748897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1748974Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1749202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1749290Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1749479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:42:03.1749556Z cur = self.mlp(cur) 2025-08-14T21:42:03.1749746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:42:03.1749812Z x = self.act(x) 2025-08-14T21:42:03.1749822Z 2025-08-14T21:42:03.1749931Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1750141Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1750216Z return mod(*inputs) 2025-08-14T21:42:03.1750410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1750487Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1750719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1750791Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1750981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:42:03.1751056Z cur = self.mlp(cur) 2025-08-14T21:42:03.1751246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:42:03.1751317Z x = self.fc2(x) 2025-08-14T21:42:03.1751321Z 2025-08-14T21:42:03.1751428Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1751637Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1751714Z return mod(*inputs) 2025-08-14T21:42:03.1751909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1751993Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1752219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1752289Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1752478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 220, in forward 2025-08-14T21:42:03.1752548Z x = x + self.drop_path(cur) 2025-08-14T21:42:03.1752551Z 2025-08-14T21:42:03.1752652Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1752853Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1752917Z return mod(*inputs) 2025-08-14T21:42:03.1753105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1753180Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1753390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1753463Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1753641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:42:03.1753733Z x = self.cpe(x, size) 2025-08-14T21:42:03.1753923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-08-14T21:42:03.1753994Z x = self.proj(feat) + feat 2025-08-14T21:42:03.1753998Z 2025-08-14T21:42:03.1754082Z cudagraph partition due to non gpu ops 2025-08-14T21:42:03.1754160Z cudagraph partition due to non gpu ops 2025-08-14T21:42:03.1754259Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1754455Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1754519Z return mod(*inputs) 2025-08-14T21:42:03.1754732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1754814Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1755022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1755114Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1755294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:42:03.1755362Z x = self.cpe(x, size) 2025-08-14T21:42:03.1755550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 162, in forward 2025-08-14T21:42:03.1755624Z x = torch.cat((cls_token, x), dim=1) 2025-08-14T21:42:03.1755628Z 2025-08-14T21:42:03.1755727Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1755928Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1755994Z return mod(*inputs) 2025-08-14T21:42:03.1756184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1756255Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1756465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1756540Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1756720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1756798Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1756986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 118, in forward 2025-08-14T21:42:03.1757145Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:42:03.1757148Z 2025-08-14T21:42:03.1757257Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1757454Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1757517Z return mod(*inputs) 2025-08-14T21:42:03.1757707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1757784Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1758000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1758068Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1758247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1758330Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1758511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:42:03.1758582Z k_softmax = k.softmax(dim=2) 2025-08-14T21:42:03.1758586Z 2025-08-14T21:42:03.1758697Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1758889Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1758960Z return mod(*inputs) 2025-08-14T21:42:03.1759164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1759247Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1759459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1759524Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1759698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1759779Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1759952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:42:03.1760032Z k_softmax = k.softmax(dim=2) 2025-08-14T21:42:03.1760079Z 2025-08-14T21:42:03.1760188Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1760396Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1760492Z return mod(*inputs) 2025-08-14T21:42:03.1760693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1760766Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1760987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1761052Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1761242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1761318Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1761499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:42:03.1761579Z k_softmax = k.softmax(dim=2) 2025-08-14T21:42:03.1761582Z 2025-08-14T21:42:03.1761684Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1761889Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1761955Z return mod(*inputs) 2025-08-14T21:42:03.1762138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1762217Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1762432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1762497Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1762688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1762763Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1762957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:42:03.1763026Z k_softmax = k.softmax(dim=2) 2025-08-14T21:42:03.1763030Z 2025-08-14T21:42:03.1763132Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1763340Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1763405Z return mod(*inputs) 2025-08-14T21:42:03.1763592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1763674Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1763888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1763964Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1764150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1764226Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1764420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:42:03.1764515Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:42:03.1764519Z 2025-08-14T21:42:03.1764645Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1764853Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1764919Z return mod(*inputs) 2025-08-14T21:42:03.1765114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1765186Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1765403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1765479Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1765665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1765772Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1765963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:42:03.1766056Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:42:03.1766087Z 2025-08-14T21:42:03.1766198Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1766389Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1766455Z return mod(*inputs) 2025-08-14T21:42:03.1766644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1766717Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1766937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1767002Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1767187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1767270Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1767461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:42:03.1767528Z factor_att = q @ factor_att 2025-08-14T21:42:03.1767531Z 2025-08-14T21:42:03.1767638Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1767832Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1767900Z return mod(*inputs) 2025-08-14T21:42:03.1768080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1768151Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1768364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1768431Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1768616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1768705Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1768909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:42:03.1768991Z factor_att = q @ factor_att 2025-08-14T21:42:03.1768994Z 2025-08-14T21:42:03.1769101Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1769306Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1769381Z return mod(*inputs) 2025-08-14T21:42:03.1769585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1769660Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1769902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1769975Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1770176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1770256Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1770471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:42:03.1770580Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:42:03.1770775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:42:03.1770867Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:42:03.1770879Z 2025-08-14T21:42:03.1770984Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1771191Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1771266Z return mod(*inputs) 2025-08-14T21:42:03.1771543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1771622Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1771852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1771941Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1772143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1772224Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1772415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:42:03.1772520Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:42:03.1772715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:42:03.1772807Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:42:03.1772811Z 2025-08-14T21:42:03.1772926Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1773129Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1773203Z return mod(*inputs) 2025-08-14T21:42:03.1773399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1773476Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1773707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1773784Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1773964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1774052Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1774232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:42:03.1774335Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:42:03.1774518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:42:03.1774604Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:42:03.1774610Z 2025-08-14T21:42:03.1774697Z cudagraph partition due to non gpu ops 2025-08-14T21:42:03.1774776Z cudagraph partition due to non gpu ops 2025-08-14T21:42:03.1774855Z cudagraph partition due to non gpu ops 2025-08-14T21:42:03.1774964Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1775157Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1775228Z return mod(*inputs) 2025-08-14T21:42:03.1775411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1775486Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1775720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1775792Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1775985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1776103Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1776293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:42:03.1776398Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:42:03.1776592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 82, in forward 2025-08-14T21:42:03.1776689Z conv_v_img = torch.cat(conv_v_img_list, dim=1) 2025-08-14T21:42:03.1776693Z 2025-08-14T21:42:03.1776809Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1777013Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1777114Z return mod(*inputs) 2025-08-14T21:42:03.1777315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1777394Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1777622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1777711Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1777895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1777979Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1778164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 131, in forward 2025-08-14T21:42:03.1778311Z x = x.transpose(1, 2).reshape(B, N, C) # [B, h, N, Ch] -> [B, N, h, Ch] -> [B, N, C] 2025-08-14T21:42:03.1778315Z 2025-08-14T21:42:03.1778418Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1778619Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1778691Z return mod(*inputs) 2025-08-14T21:42:03.1778878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1778954Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1779176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1779242Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1779432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:42:03.1779507Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:42:03.1779691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 134, in forward 2025-08-14T21:42:03.1779763Z x = self.proj(x) 2025-08-14T21:42:03.1779766Z 2025-08-14T21:42:03.1779869Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1780070Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1780141Z return mod(*inputs) 2025-08-14T21:42:03.1780323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1780408Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1780620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1780686Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1780874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:42:03.1780938Z cur = self.mlp(cur) 2025-08-14T21:42:03.1781122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:42:03.1781194Z x = self.fc1(x) 2025-08-14T21:42:03.1781198Z 2025-08-14T21:42:03.1781311Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1781526Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1781592Z return mod(*inputs) 2025-08-14T21:42:03.1781799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1781908Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1782145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1782217Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1782425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:42:03.1782495Z cur = self.mlp(cur) 2025-08-14T21:42:03.1782693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:42:03.1782758Z x = self.act(x) 2025-08-14T21:42:03.1782761Z 2025-08-14T21:42:03.1782901Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1783116Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1783183Z return mod(*inputs) 2025-08-14T21:42:03.1783403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:42:03.1783481Z x_feat = self.forward_features(x) 2025-08-14T21:42:03.1783711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:42:03.1783788Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:42:03.1783991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:42:03.1784060Z cur = self.mlp(cur) 2025-08-14T21:42:03.1784256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:42:03.1784321Z x = self.fc2(x) 2025-08-14T21:42:03.1784324Z 2025-08-14T21:42:03.1784440Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1784642Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1784709Z return mod(*inputs) 2025-08-14T21:42:03.1784909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 670, in forward 2025-08-14T21:42:03.1784987Z x = self.forward_head(x_feat) 2025-08-14T21:42:03.1785290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 660, in forward_head 2025-08-14T21:42:03.1785384Z x = self.head_drop(x) 2025-08-14T21:42:03.1785388Z 2025-08-14T21:42:03.1785500Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:42:03.1785718Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:42:03.1785787Z return mod(*inputs) 2025-08-14T21:42:03.1786002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 670, in forward 2025-08-14T21:42:03.1786088Z x = self.forward_head(x_feat) 2025-08-14T21:42:03.1786317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 661, in forward_head 2025-08-14T21:42:03.1786411Z return x if pre_logits else self.head(x) 2025-08-14T21:42:03.1786415Z 2025-08-14T21:42:18.6318196Z Compilation time (from dynamo_timed): 51.743975486 2025-08-14T21:42:18.6322220Z pass 2025-08-14T21:42:18.6328755Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:42:18.6329739Z TIMING: _recursive_pre_grad_passes:0.0085 _recursive_joint_graph_passes:0.55023 _recursive_post_grad_passes:0.29695 async_compile.wait:0.73657 code_gen:13.93822 inductor_compile:19.78046 backend_compile:41.1378 gc:0.00055 entire_frame_compile:51.74398 total_wall_time:51.74398 2025-08-14T21:42:18.6332708Z 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 2025-08-14T21:42:18.6333396Z Dynamo produced 1 graphs covering 460 ops with 0 graph breaks (0 unique) 2025-08-14T21:42:28.3636921Z 2025-08-14T21:42:28.5192013Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:42:28.5192265Z 2025-08-14T21:42:28.6388164Z model.safetensors: 0% 0.00/84.9M [00:00 BH1(C/H) -> B1H(C/H) -> B1C 2025-08-14T21:44:54.7822385Z 2025-08-14T21:44:54.7822516Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7822882Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7823242Z return mod(*inputs) 2025-08-14T21:44:54.7823561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7823926Z xs = self.forward_features(x) 2025-08-14T21:44:54.7824288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7824651Z xs = blk(xs) 2025-08-14T21:44:54.7824992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:44:54.7825405Z tmp = fusion(tmp) 2025-08-14T21:44:54.7825746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:44:54.7826133Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:44:54.7826565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 112, in forward 2025-08-14T21:44:54.7827163Z q = self.wq(x[:, 0:1, ...]).reshape(B, 1, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:44:54.7827395Z 2025-08-14T21:44:54.7827506Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7827891Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7828240Z return mod(*inputs) 2025-08-14T21:44:54.7828563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7828922Z xs = self.forward_features(x) 2025-08-14T21:44:54.7829297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7829653Z xs = blk(xs) 2025-08-14T21:44:54.7829956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:44:54.7830298Z tmp = fusion(tmp) 2025-08-14T21:44:54.7830605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:44:54.7830979Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:44:54.7831354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 114, in forward 2025-08-14T21:44:54.7831777Z k = self.wk(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:44:54.7831990Z 2025-08-14T21:44:54.7832097Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7832478Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7832824Z return mod(*inputs) 2025-08-14T21:44:54.7833138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7833492Z xs = self.forward_features(x) 2025-08-14T21:44:54.7833860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7834209Z xs = blk(xs) 2025-08-14T21:44:54.7834480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:44:54.7834789Z tmp = fusion(tmp) 2025-08-14T21:44:54.7835077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:44:54.7835409Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:44:54.7835750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 116, in forward 2025-08-14T21:44:54.7836137Z v = self.wv(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:44:54.7836328Z 2025-08-14T21:44:54.7836436Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7836834Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7837147Z return mod(*inputs) 2025-08-14T21:44:54.7837444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7837767Z xs = self.forward_features(x) 2025-08-14T21:44:54.7838095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7838434Z xs = blk(xs) 2025-08-14T21:44:54.7838718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:44:54.7839078Z tmp = fusion(tmp) 2025-08-14T21:44:54.7839370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:44:54.7839716Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:44:54.7840082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 123, in forward 2025-08-14T21:44:54.7840386Z x = self.proj(x) 2025-08-14T21:44:54.7840491Z 2025-08-14T21:44:54.7840589Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7840934Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7841243Z return mod(*inputs) 2025-08-14T21:44:54.7841536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7841860Z xs = self.forward_features(x) 2025-08-14T21:44:54.7842199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7842527Z xs = blk(xs) 2025-08-14T21:44:54.7842806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:44:54.7843123Z tmp = fusion(tmp) 2025-08-14T21:44:54.7843403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:44:54.7843747Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:44:54.7844087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 122, in forward 2025-08-14T21:44:54.7844491Z x = (attn @ v).transpose(1, 2).reshape(B, 1, C) # (BH1N @ BHN(C/H)) -> BH1(C/H) -> B1H(C/H) -> B1C 2025-08-14T21:44:54.7844698Z 2025-08-14T21:44:54.7844796Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7845140Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7845457Z return mod(*inputs) 2025-08-14T21:44:54.7845741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7846059Z xs = self.forward_features(x) 2025-08-14T21:44:54.7846399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7846732Z xs = blk(xs) 2025-08-14T21:44:54.7847005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 264, in forward 2025-08-14T21:44:54.7847372Z reverted_proj_cls_token = revert_proj(tmp[:, 0:1, ...]) 2025-08-14T21:44:54.7847535Z 2025-08-14T21:44:54.7847647Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7848003Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7848316Z return mod(*inputs) 2025-08-14T21:44:54.7848615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7848928Z xs = self.forward_features(x) 2025-08-14T21:44:54.7849255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7849610Z xs = blk(xs) 2025-08-14T21:44:54.7849890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:44:54.7850192Z tmp = fusion(tmp) 2025-08-14T21:44:54.7850486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:44:54.7850825Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:44:54.7851163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 123, in forward 2025-08-14T21:44:54.7851466Z x = self.proj(x) 2025-08-14T21:44:54.7851571Z 2025-08-14T21:44:54.7851648Z cudagraph partition due to non gpu ops 2025-08-14T21:44:54.7851913Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7852258Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7852564Z return mod(*inputs) 2025-08-14T21:44:54.7852955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7853272Z xs = self.forward_features(x) 2025-08-14T21:44:54.7853599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7853934Z xs = blk(xs) 2025-08-14T21:44:54.7854218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-08-14T21:44:54.7854592Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-08-14T21:44:54.7854786Z 2025-08-14T21:44:54.7854886Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7855238Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7855552Z return mod(*inputs) 2025-08-14T21:44:54.7855839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7856165Z xs = self.forward_features(x) 2025-08-14T21:44:54.7856499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7856829Z xs = blk(xs) 2025-08-14T21:44:54.7857124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 264, in forward 2025-08-14T21:44:54.7857520Z reverted_proj_cls_token = revert_proj(tmp[:, 0:1, ...]) 2025-08-14T21:44:54.7857682Z 2025-08-14T21:44:54.7857770Z cudagraph partition due to non gpu ops 2025-08-14T21:44:54.7858002Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7858361Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7858684Z return mod(*inputs) 2025-08-14T21:44:54.7859001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7859343Z xs = self.forward_features(x) 2025-08-14T21:44:54.7859708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7860067Z xs = blk(xs) 2025-08-14T21:44:54.7860362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-08-14T21:44:54.7860772Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-08-14T21:44:54.7860967Z 2025-08-14T21:44:54.7861082Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7861458Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7861791Z return mod(*inputs) 2025-08-14T21:44:54.7862113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7862460Z xs = self.forward_features(x) 2025-08-14T21:44:54.7862815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7863204Z xs = blk(xs) 2025-08-14T21:44:54.7863517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.7863873Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.7864246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:44:54.7864675Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:44:54.7865093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 88, in forward 2025-08-14T21:44:54.7865666Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-08-14T21:44:54.7865899Z 2025-08-14T21:44:54.7865986Z cudagraph partition due to non gpu ops 2025-08-14T21:44:54.7866240Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7866641Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7866978Z return mod(*inputs) 2025-08-14T21:44:54.7867306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7867660Z xs = self.forward_features(x) 2025-08-14T21:44:54.7868017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7868379Z xs = blk(xs) 2025-08-14T21:44:54.7868681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.7869030Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.7869392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:44:54.7869816Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:44:54.7870225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 88, in forward 2025-08-14T21:44:54.7870683Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-08-14T21:44:54.7870901Z 2025-08-14T21:44:54.7871010Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7871391Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7871735Z return mod(*inputs) 2025-08-14T21:44:54.7872050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7872402Z xs = self.forward_features(x) 2025-08-14T21:44:54.7872773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7873129Z xs = blk(xs) 2025-08-14T21:44:54.7873411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.7873743Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.7874088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:44:54.7874478Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:44:54.7874867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-08-14T21:44:54.7875225Z x = F.scaled_dot_product_attention( 2025-08-14T21:44:54.7875359Z 2025-08-14T21:44:54.7875444Z cudagraph partition due to non gpu ops 2025-08-14T21:44:54.7875675Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7876038Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7876365Z return mod(*inputs) 2025-08-14T21:44:54.7876661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7877016Z xs = self.forward_features(x) 2025-08-14T21:44:54.7877357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7877701Z xs = blk(xs) 2025-08-14T21:44:54.7877981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.7878307Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.7878652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:44:54.7879042Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:44:54.7879481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 105, in forward 2025-08-14T21:44:54.7879836Z x = self.proj(x) 2025-08-14T21:44:54.7879938Z 2025-08-14T21:44:54.7880046Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7880395Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7880740Z return mod(*inputs) 2025-08-14T21:44:54.7881042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7881367Z xs = self.forward_features(x) 2025-08-14T21:44:54.7881711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7882054Z xs = blk(xs) 2025-08-14T21:44:54.7882340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.7882660Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.7883001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:44:54.7883389Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:44:54.7883768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-08-14T21:44:54.7884129Z x = F.scaled_dot_product_attention( 2025-08-14T21:44:54.7884268Z 2025-08-14T21:44:54.7884371Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7884729Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7885047Z return mod(*inputs) 2025-08-14T21:44:54.7885348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7885681Z xs = self.forward_features(x) 2025-08-14T21:44:54.7886022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7886374Z xs = blk(xs) 2025-08-14T21:44:54.7886680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.7887026Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.7887388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:44:54.7887793Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:44:54.7888147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:44:54.7888456Z x = self.fc1(x) 2025-08-14T21:44:54.7888553Z 2025-08-14T21:44:54.7888657Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7889017Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7889353Z return mod(*inputs) 2025-08-14T21:44:54.7889670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7890020Z xs = self.forward_features(x) 2025-08-14T21:44:54.7890385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7890772Z xs = blk(xs) 2025-08-14T21:44:54.7891076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.7891430Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.7891795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:44:54.7892194Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:44:54.7892581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 105, in forward 2025-08-14T21:44:54.7892933Z x = self.proj(x) 2025-08-14T21:44:54.7893032Z 2025-08-14T21:44:54.7893176Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7893530Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7893870Z return mod(*inputs) 2025-08-14T21:44:54.7894209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7894548Z xs = self.forward_features(x) 2025-08-14T21:44:54.7894911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7895269Z xs = blk(xs) 2025-08-14T21:44:54.7895575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.7895915Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.7896274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:44:54.7896688Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:44:54.7897047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:44:54.7897373Z x = self.act(x) 2025-08-14T21:44:54.7897477Z 2025-08-14T21:44:54.7897596Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7897982Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7898332Z return mod(*inputs) 2025-08-14T21:44:54.7898649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7899008Z xs = self.forward_features(x) 2025-08-14T21:44:54.7899365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7899723Z xs = blk(xs) 2025-08-14T21:44:54.7900035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.7900389Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.7900743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:44:54.7901152Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:44:54.7901528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:44:54.7901855Z x = self.fc1(x) 2025-08-14T21:44:54.7901964Z 2025-08-14T21:44:54.7902074Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7902463Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7902821Z return mod(*inputs) 2025-08-14T21:44:54.7903138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7903489Z xs = self.forward_features(x) 2025-08-14T21:44:54.7903858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7904210Z xs = blk(xs) 2025-08-14T21:44:54.7904521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.7904907Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.7905271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:44:54.7905759Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:44:54.7906138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:44:54.7906469Z x = self.fc2(x) 2025-08-14T21:44:54.7906570Z 2025-08-14T21:44:54.7906678Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7907065Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7907442Z return mod(*inputs) 2025-08-14T21:44:54.7907750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7908091Z xs = self.forward_features(x) 2025-08-14T21:44:54.7908459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7908846Z xs = blk(xs) 2025-08-14T21:44:54.7909149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.7909502Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.7909871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:44:54.7910287Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:44:54.7910638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:44:54.7910947Z x = self.act(x) 2025-08-14T21:44:54.7911043Z 2025-08-14T21:44:54.7911157Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7911512Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7911841Z return mod(*inputs) 2025-08-14T21:44:54.7912144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7912472Z xs = self.forward_features(x) 2025-08-14T21:44:54.7912815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7913174Z xs = blk(xs) 2025-08-14T21:44:54.7913483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 257, in forward 2025-08-14T21:44:54.7913853Z proj_cls_token.append(proj(outs_b[i][:, 0:1, ...])) 2025-08-14T21:44:54.7914023Z 2025-08-14T21:44:54.7914130Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7914512Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7914851Z return mod(*inputs) 2025-08-14T21:44:54.7915165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7915515Z xs = self.forward_features(x) 2025-08-14T21:44:54.7915859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7916192Z xs = blk(xs) 2025-08-14T21:44:54.7916489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.7916834Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.7917200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:44:54.7917610Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:44:54.7917982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:44:54.7918319Z x = self.fc2(x) 2025-08-14T21:44:54.7918413Z 2025-08-14T21:44:54.7918501Z cudagraph partition due to non gpu ops 2025-08-14T21:44:54.7918735Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7919147Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7919504Z return mod(*inputs) 2025-08-14T21:44:54.7919827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7920182Z xs = self.forward_features(x) 2025-08-14T21:44:54.7920543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7920896Z xs = blk(xs) 2025-08-14T21:44:54.7921208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.7921608Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.7921974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:44:54.7922387Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:44:54.7922835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 88, in forward 2025-08-14T21:44:54.7923305Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-08-14T21:44:54.7923527Z 2025-08-14T21:44:54.7923621Z cudagraph partition due to non gpu ops 2025-08-14T21:44:54.7923868Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7924261Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7924617Z return mod(*inputs) 2025-08-14T21:44:54.7924945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7925299Z xs = self.forward_features(x) 2025-08-14T21:44:54.7925662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7926021Z xs = blk(xs) 2025-08-14T21:44:54.7926378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.7926916Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.7927289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:44:54.7927711Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:44:54.7928132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-08-14T21:44:54.7928524Z x = F.scaled_dot_product_attention( 2025-08-14T21:44:54.7928668Z 2025-08-14T21:44:54.7928784Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7929176Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7929524Z return mod(*inputs) 2025-08-14T21:44:54.7929849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7930198Z xs = self.forward_features(x) 2025-08-14T21:44:54.7930564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7930924Z xs = blk(xs) 2025-08-14T21:44:54.7931238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.7931557Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.7931899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:44:54.7932291Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:44:54.7932681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 105, in forward 2025-08-14T21:44:54.7933031Z x = self.proj(x) 2025-08-14T21:44:54.7933138Z 2025-08-14T21:44:54.7933247Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7933675Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7934011Z return mod(*inputs) 2025-08-14T21:44:54.7934335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7934688Z xs = self.forward_features(x) 2025-08-14T21:44:54.7935042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7935403Z xs = blk(xs) 2025-08-14T21:44:54.7935698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.7936112Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.7936474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:44:54.7936887Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:44:54.7937288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:44:54.7937602Z x = self.fc1(x) 2025-08-14T21:44:54.7937709Z 2025-08-14T21:44:54.7937818Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7938196Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7938537Z return mod(*inputs) 2025-08-14T21:44:54.7938849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7939199Z xs = self.forward_features(x) 2025-08-14T21:44:54.7939568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7939922Z xs = blk(xs) 2025-08-14T21:44:54.7940228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.7940569Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.7940929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:44:54.7941335Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:44:54.7941703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:44:54.7942023Z x = self.act(x) 2025-08-14T21:44:54.7942121Z 2025-08-14T21:44:54.7942237Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7942608Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7942948Z return mod(*inputs) 2025-08-14T21:44:54.7943278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7943629Z xs = self.forward_features(x) 2025-08-14T21:44:54.7944002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7944377Z xs = blk(xs) 2025-08-14T21:44:54.7944684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.7945042Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.7945476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:44:54.7945917Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:44:54.7946289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:44:54.7946625Z x = self.fc2(x) 2025-08-14T21:44:54.7946728Z 2025-08-14T21:44:54.7946866Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7947230Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7947547Z return mod(*inputs) 2025-08-14T21:44:54.7947895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7948259Z xs = self.forward_features(x) 2025-08-14T21:44:54.7948633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7949009Z xs = blk(xs) 2025-08-14T21:44:54.7949341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.7949705Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.7950078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:44:54.7950553Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:44:54.7950731Z 2025-08-14T21:44:54.7950854Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7951237Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7951636Z return mod(*inputs) 2025-08-14T21:44:54.7951965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7952342Z xs = self.forward_features(x) 2025-08-14T21:44:54.7952709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7953080Z xs = blk(xs) 2025-08-14T21:44:54.7953391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.7953736Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.7954114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:44:54.7954543Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:44:54.7954961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 88, in forward 2025-08-14T21:44:54.7955429Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-08-14T21:44:54.7955655Z 2025-08-14T21:44:54.7955738Z cudagraph partition due to non gpu ops 2025-08-14T21:44:54.7955978Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7956328Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7956652Z return mod(*inputs) 2025-08-14T21:44:54.7956961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7957287Z xs = self.forward_features(x) 2025-08-14T21:44:54.7957629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7957970Z xs = blk(xs) 2025-08-14T21:44:54.7958274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.7958618Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.7958980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:44:54.7959406Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:44:54.7959792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-08-14T21:44:54.7960144Z x = F.scaled_dot_product_attention( 2025-08-14T21:44:54.7960285Z 2025-08-14T21:44:54.7960387Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7960744Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7961072Z return mod(*inputs) 2025-08-14T21:44:54.7961366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7961696Z xs = self.forward_features(x) 2025-08-14T21:44:54.7962039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7962400Z xs = blk(xs) 2025-08-14T21:44:54.7962692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.7963022Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.7963360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:44:54.7963752Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:44:54.7964142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 105, in forward 2025-08-14T21:44:54.7964532Z x = self.proj(x) 2025-08-14T21:44:54.7964634Z 2025-08-14T21:44:54.7964737Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7965095Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7965447Z return mod(*inputs) 2025-08-14T21:44:54.7965749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7966071Z xs = self.forward_features(x) 2025-08-14T21:44:54.7966421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7966762Z xs = blk(xs) 2025-08-14T21:44:54.7967044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.7967370Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.7967718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:44:54.7968110Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:44:54.7968452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:44:54.7968764Z x = self.fc1(x) 2025-08-14T21:44:54.7968857Z 2025-08-14T21:44:54.7968969Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7969324Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7969647Z return mod(*inputs) 2025-08-14T21:44:54.7969950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7970282Z xs = self.forward_features(x) 2025-08-14T21:44:54.7970620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7970965Z xs = blk(xs) 2025-08-14T21:44:54.7971255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.7971575Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.7971921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:44:54.7972312Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:44:54.7972659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:44:54.7972956Z x = self.act(x) 2025-08-14T21:44:54.7973055Z 2025-08-14T21:44:54.7973158Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7973513Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7973827Z return mod(*inputs) 2025-08-14T21:44:54.7974127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7974457Z xs = self.forward_features(x) 2025-08-14T21:44:54.7974801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7975138Z xs = blk(xs) 2025-08-14T21:44:54.7975428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.7975787Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.7976123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:44:54.7976512Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:44:54.7976859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:44:54.7976921Z x = self.fc2(x) 2025-08-14T21:44:54.7976925Z 2025-08-14T21:44:54.7977038Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7977270Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7977338Z return mod(*inputs) 2025-08-14T21:44:54.7977543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7977616Z xs = self.forward_features(x) 2025-08-14T21:44:54.7977868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7977928Z xs = blk(xs) 2025-08-14T21:44:54.7978122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 262, in forward 2025-08-14T21:44:54.7978286Z tmp = torch.cat((proj_cls_token[i], outs_b[(i + 1) % self.num_branches][:, 1:, ...]), dim=1) 2025-08-14T21:44:54.7978290Z 2025-08-14T21:44:54.7978393Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7978587Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7978659Z return mod(*inputs) 2025-08-14T21:44:54.7978854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7978929Z xs = self.forward_features(x) 2025-08-14T21:44:54.7979149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7979212Z xs = blk(xs) 2025-08-14T21:44:54.7979412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 257, in forward 2025-08-14T21:44:54.7979512Z proj_cls_token.append(proj(outs_b[i][:, 0:1, ...])) 2025-08-14T21:44:54.7979515Z 2025-08-14T21:44:54.7979593Z cudagraph partition due to non gpu ops 2025-08-14T21:44:54.7979699Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7979893Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7979965Z return mod(*inputs) 2025-08-14T21:44:54.7980162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7980234Z xs = self.forward_features(x) 2025-08-14T21:44:54.7980457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7980518Z xs = blk(xs) 2025-08-14T21:44:54.7980712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 262, in forward 2025-08-14T21:44:54.7980871Z tmp = torch.cat((proj_cls_token[i], outs_b[(i + 1) % self.num_branches][:, 1:, ...]), dim=1) 2025-08-14T21:44:54.7980875Z 2025-08-14T21:44:54.7980974Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7981173Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7981238Z return mod(*inputs) 2025-08-14T21:44:54.7981433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7981513Z xs = self.forward_features(x) 2025-08-14T21:44:54.7981733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7981799Z xs = blk(xs) 2025-08-14T21:44:54.7982035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:44:54.7982098Z tmp = fusion(tmp) 2025-08-14T21:44:54.7982301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:44:54.7982402Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:44:54.7982598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 112, in forward 2025-08-14T21:44:54.7982760Z q = self.wq(x[:, 0:1, ...]).reshape(B, 1, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:44:54.7982763Z 2025-08-14T21:44:54.7982901Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7983105Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7983170Z return mod(*inputs) 2025-08-14T21:44:54.7983371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7983478Z xs = self.forward_features(x) 2025-08-14T21:44:54.7983713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7983778Z xs = blk(xs) 2025-08-14T21:44:54.7983993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:44:54.7984061Z tmp = fusion(tmp) 2025-08-14T21:44:54.7984273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:44:54.7984379Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:44:54.7984587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 114, in forward 2025-08-14T21:44:54.7984749Z k = self.wk(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:44:54.7984756Z 2025-08-14T21:44:54.7984863Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7985077Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7985145Z return mod(*inputs) 2025-08-14T21:44:54.7985421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7985509Z xs = self.forward_features(x) 2025-08-14T21:44:54.7985743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7985808Z xs = blk(xs) 2025-08-14T21:44:54.7986031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:44:54.7986100Z tmp = fusion(tmp) 2025-08-14T21:44:54.7986327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:44:54.7986435Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:44:54.7986651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 116, in forward 2025-08-14T21:44:54.7986819Z v = self.wv(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:44:54.7986823Z 2025-08-14T21:44:54.7986933Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7987164Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7987235Z return mod(*inputs) 2025-08-14T21:44:54.7987447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7987533Z xs = self.forward_features(x) 2025-08-14T21:44:54.7987766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7987829Z xs = blk(xs) 2025-08-14T21:44:54.7988046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:44:54.7988140Z tmp = fusion(tmp) 2025-08-14T21:44:54.7988352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:44:54.7988453Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:44:54.7988667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 122, in forward 2025-08-14T21:44:54.7988846Z x = (attn @ v).transpose(1, 2).reshape(B, 1, C) # (BH1N @ BHN(C/H)) -> BH1(C/H) -> B1H(C/H) -> B1C 2025-08-14T21:44:54.7988850Z 2025-08-14T21:44:54.7988959Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7989201Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7989281Z return mod(*inputs) 2025-08-14T21:44:54.7989496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7989601Z xs = self.forward_features(x) 2025-08-14T21:44:54.7989835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7989896Z xs = blk(xs) 2025-08-14T21:44:54.7990116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:44:54.7990183Z tmp = fusion(tmp) 2025-08-14T21:44:54.7990396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:44:54.7990505Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:44:54.7990722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 112, in forward 2025-08-14T21:44:54.7990890Z q = self.wq(x[:, 0:1, ...]).reshape(B, 1, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:44:54.7990894Z 2025-08-14T21:44:54.7991003Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7991208Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7991282Z return mod(*inputs) 2025-08-14T21:44:54.7991491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7991572Z xs = self.forward_features(x) 2025-08-14T21:44:54.7991803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7991864Z xs = blk(xs) 2025-08-14T21:44:54.7992079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:44:54.7992144Z tmp = fusion(tmp) 2025-08-14T21:44:54.7992346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:44:54.7992454Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:44:54.7992659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 114, in forward 2025-08-14T21:44:54.7992808Z k = self.wk(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:44:54.7992812Z 2025-08-14T21:44:54.7992918Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7993122Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7993198Z return mod(*inputs) 2025-08-14T21:44:54.7993403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7993488Z xs = self.forward_features(x) 2025-08-14T21:44:54.7993721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7993784Z xs = blk(xs) 2025-08-14T21:44:54.7993995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:44:54.7994087Z tmp = fusion(tmp) 2025-08-14T21:44:54.7994293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:44:54.7994402Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:44:54.7994610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 116, in forward 2025-08-14T21:44:54.7994762Z v = self.wv(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:44:54.7994766Z 2025-08-14T21:44:54.7994873Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7995109Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7995187Z return mod(*inputs) 2025-08-14T21:44:54.7995392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7995486Z xs = self.forward_features(x) 2025-08-14T21:44:54.7995725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7995789Z xs = blk(xs) 2025-08-14T21:44:54.7996004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:44:54.7996068Z tmp = fusion(tmp) 2025-08-14T21:44:54.7996272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:44:54.7996380Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:44:54.7996587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 123, in forward 2025-08-14T21:44:54.7996655Z x = self.proj(x) 2025-08-14T21:44:54.7996666Z 2025-08-14T21:44:54.7996774Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7996990Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7997065Z return mod(*inputs) 2025-08-14T21:44:54.7997261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7997332Z xs = self.forward_features(x) 2025-08-14T21:44:54.7997559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7997624Z xs = blk(xs) 2025-08-14T21:44:54.7997815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:44:54.7997884Z tmp = fusion(tmp) 2025-08-14T21:44:54.7998074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:44:54.7998171Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:44:54.7998359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 122, in forward 2025-08-14T21:44:54.7998515Z x = (attn @ v).transpose(1, 2).reshape(B, 1, C) # (BH1N @ BHN(C/H)) -> BH1(C/H) -> B1H(C/H) -> B1C 2025-08-14T21:44:54.7998518Z 2025-08-14T21:44:54.7998629Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.7998820Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.7998890Z return mod(*inputs) 2025-08-14T21:44:54.7999079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.7999146Z xs = self.forward_features(x) 2025-08-14T21:44:54.7999371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.7999428Z xs = blk(xs) 2025-08-14T21:44:54.7999624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 264, in forward 2025-08-14T21:44:54.7999761Z reverted_proj_cls_token = revert_proj(tmp[:, 0:1, ...]) 2025-08-14T21:44:54.7999766Z 2025-08-14T21:44:54.7999863Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8000059Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8000122Z return mod(*inputs) 2025-08-14T21:44:54.8000310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8000387Z xs = self.forward_features(x) 2025-08-14T21:44:54.8000599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8000656Z xs = blk(xs) 2025-08-14T21:44:54.8000885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:44:54.8000947Z tmp = fusion(tmp) 2025-08-14T21:44:54.8001144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:44:54.8001271Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:44:54.8001459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 123, in forward 2025-08-14T21:44:54.8001530Z x = self.proj(x) 2025-08-14T21:44:54.8001533Z 2025-08-14T21:44:54.8001617Z cudagraph partition due to non gpu ops 2025-08-14T21:44:54.8001722Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8001912Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8001974Z return mod(*inputs) 2025-08-14T21:44:54.8002170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8002240Z xs = self.forward_features(x) 2025-08-14T21:44:54.8002453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8002522Z xs = blk(xs) 2025-08-14T21:44:54.8002709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-08-14T21:44:54.8002847Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-08-14T21:44:54.8002851Z 2025-08-14T21:44:54.8002953Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8003157Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8003231Z return mod(*inputs) 2025-08-14T21:44:54.8003437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8003514Z xs = self.forward_features(x) 2025-08-14T21:44:54.8003755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8003818Z xs = blk(xs) 2025-08-14T21:44:54.8004031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 264, in forward 2025-08-14T21:44:54.8004152Z reverted_proj_cls_token = revert_proj(tmp[:, 0:1, ...]) 2025-08-14T21:44:54.8004156Z 2025-08-14T21:44:54.8004252Z cudagraph partition due to non gpu ops 2025-08-14T21:44:54.8004361Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8004554Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8004617Z return mod(*inputs) 2025-08-14T21:44:54.8004821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8004892Z xs = self.forward_features(x) 2025-08-14T21:44:54.8005122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8005182Z xs = blk(xs) 2025-08-14T21:44:54.8005375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-08-14T21:44:54.8006412Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-08-14T21:44:54.8006416Z 2025-08-14T21:44:54.8006520Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8006719Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8006783Z return mod(*inputs) 2025-08-14T21:44:54.8006976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8007053Z xs = self.forward_features(x) 2025-08-14T21:44:54.8007272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8007369Z xs = blk(xs) 2025-08-14T21:44:54.8007570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.8007644Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.8007899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:44:54.8008009Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:44:54.8008230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 88, in forward 2025-08-14T21:44:54.8008388Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-08-14T21:44:54.8008392Z 2025-08-14T21:44:54.8008472Z cudagraph partition due to non gpu ops 2025-08-14T21:44:54.8008574Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8008775Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8008838Z return mod(*inputs) 2025-08-14T21:44:54.8009037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8009105Z xs = self.forward_features(x) 2025-08-14T21:44:54.8009324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8009390Z xs = blk(xs) 2025-08-14T21:44:54.8009582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.8009654Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.8009887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:44:54.8009994Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:44:54.8010228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 88, in forward 2025-08-14T21:44:54.8010370Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-08-14T21:44:54.8010374Z 2025-08-14T21:44:54.8010473Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8010672Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8010734Z return mod(*inputs) 2025-08-14T21:44:54.8010928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8010996Z xs = self.forward_features(x) 2025-08-14T21:44:54.8011212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8011277Z xs = blk(xs) 2025-08-14T21:44:54.8011466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.8011536Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.8011764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:44:54.8011866Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:44:54.8012117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-08-14T21:44:54.8012195Z x = F.scaled_dot_product_attention( 2025-08-14T21:44:54.8012199Z 2025-08-14T21:44:54.8012275Z cudagraph partition due to non gpu ops 2025-08-14T21:44:54.8012383Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8012571Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8012633Z return mod(*inputs) 2025-08-14T21:44:54.8012836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8012905Z xs = self.forward_features(x) 2025-08-14T21:44:54.8013170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8013232Z xs = blk(xs) 2025-08-14T21:44:54.8013427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.8013528Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.8013756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:44:54.8013860Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:44:54.8014099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 105, in forward 2025-08-14T21:44:54.8014161Z x = self.proj(x) 2025-08-14T21:44:54.8014165Z 2025-08-14T21:44:54.8014276Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8014487Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8014555Z return mod(*inputs) 2025-08-14T21:44:54.8014770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8014844Z xs = self.forward_features(x) 2025-08-14T21:44:54.8015087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8015151Z xs = blk(xs) 2025-08-14T21:44:54.8015361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.8015443Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.8015683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:44:54.8015786Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:44:54.8016021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-08-14T21:44:54.8016101Z x = F.scaled_dot_product_attention( 2025-08-14T21:44:54.8016105Z 2025-08-14T21:44:54.8016217Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8016414Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8016480Z return mod(*inputs) 2025-08-14T21:44:54.8016686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8016756Z xs = self.forward_features(x) 2025-08-14T21:44:54.8016978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8017046Z xs = blk(xs) 2025-08-14T21:44:54.8017243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.8017324Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.8017567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:44:54.8017681Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:44:54.8017898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:44:54.8017983Z x = self.fc1(x) 2025-08-14T21:44:54.8017986Z 2025-08-14T21:44:54.8018088Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8018287Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8018353Z return mod(*inputs) 2025-08-14T21:44:54.8018554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8018624Z xs = self.forward_features(x) 2025-08-14T21:44:54.8018842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8018908Z xs = blk(xs) 2025-08-14T21:44:54.8019133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.8019204Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.8019434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:44:54.8019558Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:44:54.8019789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 105, in forward 2025-08-14T21:44:54.8019851Z x = self.proj(x) 2025-08-14T21:44:54.8019854Z 2025-08-14T21:44:54.8019957Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8020159Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8020222Z return mod(*inputs) 2025-08-14T21:44:54.8020425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8020496Z xs = self.forward_features(x) 2025-08-14T21:44:54.8020714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8020782Z xs = blk(xs) 2025-08-14T21:44:54.8020976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.8021046Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.8021272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:44:54.8021377Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:44:54.8021566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:44:54.8021628Z x = self.act(x) 2025-08-14T21:44:54.8021633Z 2025-08-14T21:44:54.8021735Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8021943Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8022006Z return mod(*inputs) 2025-08-14T21:44:54.8022200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8022280Z xs = self.forward_features(x) 2025-08-14T21:44:54.8022498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8022564Z xs = blk(xs) 2025-08-14T21:44:54.8022777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.8022851Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.8023096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:44:54.8023206Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:44:54.8023410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:44:54.8023482Z x = self.fc1(x) 2025-08-14T21:44:54.8023485Z 2025-08-14T21:44:54.8023595Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8023845Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8023912Z return mod(*inputs) 2025-08-14T21:44:54.8024129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8024212Z xs = self.forward_features(x) 2025-08-14T21:44:54.8024444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8024514Z xs = blk(xs) 2025-08-14T21:44:54.8024726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.8024800Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.8025090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:44:54.8025208Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:44:54.8025490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:44:54.8025600Z x = self.fc2(x) 2025-08-14T21:44:54.8025604Z 2025-08-14T21:44:54.8025720Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8025946Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8026016Z return mod(*inputs) 2025-08-14T21:44:54.8026230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8026315Z xs = self.forward_features(x) 2025-08-14T21:44:54.8026558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8026781Z xs = blk(xs) 2025-08-14T21:44:54.8027000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.8027076Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.8027329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:44:54.8027441Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:44:54.8027638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:44:54.8027715Z x = self.act(x) 2025-08-14T21:44:54.8027719Z 2025-08-14T21:44:54.8027831Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8028040Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8028119Z return mod(*inputs) 2025-08-14T21:44:54.8028340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8028426Z xs = self.forward_features(x) 2025-08-14T21:44:54.8028660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8028727Z xs = blk(xs) 2025-08-14T21:44:54.8028955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 257, in forward 2025-08-14T21:44:54.8029062Z proj_cls_token.append(proj(outs_b[i][:, 0:1, ...])) 2025-08-14T21:44:54.8029066Z 2025-08-14T21:44:54.8029175Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8029391Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8029460Z return mod(*inputs) 2025-08-14T21:44:54.8029679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8029756Z xs = self.forward_features(x) 2025-08-14T21:44:54.8029990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8030063Z xs = blk(xs) 2025-08-14T21:44:54.8030268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.8030389Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.8030640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:44:54.8030751Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:44:54.8030955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:44:54.8031021Z x = self.fc2(x) 2025-08-14T21:44:54.8031025Z 2025-08-14T21:44:54.8031108Z cudagraph partition due to non gpu ops 2025-08-14T21:44:54.8031225Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8031498Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8031577Z return mod(*inputs) 2025-08-14T21:44:54.8031797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8031902Z xs = self.forward_features(x) 2025-08-14T21:44:54.8032141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8032204Z xs = blk(xs) 2025-08-14T21:44:54.8032409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.8032492Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.8032729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:44:54.8032849Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:44:54.8033083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 88, in forward 2025-08-14T21:44:54.8033242Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-08-14T21:44:54.8033246Z 2025-08-14T21:44:54.8033340Z cudagraph partition due to non gpu ops 2025-08-14T21:44:54.8033448Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8033653Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8033727Z return mod(*inputs) 2025-08-14T21:44:54.8033936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8034014Z xs = self.forward_features(x) 2025-08-14T21:44:54.8034244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8034305Z xs = blk(xs) 2025-08-14T21:44:54.8034520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.8034594Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.8034829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:44:54.8034951Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:44:54.8035180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-08-14T21:44:54.8035268Z x = F.scaled_dot_product_attention( 2025-08-14T21:44:54.8035273Z 2025-08-14T21:44:54.8035432Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8035703Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8035780Z return mod(*inputs) 2025-08-14T21:44:54.8035987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8036072Z xs = self.forward_features(x) 2025-08-14T21:44:54.8036303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8036366Z xs = blk(xs) 2025-08-14T21:44:54.8036610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.8036685Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.8036922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:44:54.8037043Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:44:54.8037278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 105, in forward 2025-08-14T21:44:54.8037352Z x = self.proj(x) 2025-08-14T21:44:54.8037356Z 2025-08-14T21:44:54.8037486Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8037764Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8037841Z return mod(*inputs) 2025-08-14T21:44:54.8038052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8038147Z xs = self.forward_features(x) 2025-08-14T21:44:54.8038387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8038450Z xs = blk(xs) 2025-08-14T21:44:54.8038662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.8038735Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.8038971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:44:54.8039090Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:44:54.8039287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:44:54.8039352Z x = self.fc1(x) 2025-08-14T21:44:54.8039363Z 2025-08-14T21:44:54.8039472Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8039679Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8039758Z return mod(*inputs) 2025-08-14T21:44:54.8039969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8040042Z xs = self.forward_features(x) 2025-08-14T21:44:54.8040282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8040344Z xs = blk(xs) 2025-08-14T21:44:54.8040551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.8040631Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.8040867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:44:54.8040985Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:44:54.8041177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:44:54.8041246Z x = self.act(x) 2025-08-14T21:44:54.8041249Z 2025-08-14T21:44:54.8041365Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8041569Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8041642Z return mod(*inputs) 2025-08-14T21:44:54.8041850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8041924Z xs = self.forward_features(x) 2025-08-14T21:44:54.8042164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8042230Z xs = blk(xs) 2025-08-14T21:44:54.8042434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.8042514Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.8042754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:44:54.8042891Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:44:54.8043084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:44:54.8043149Z x = self.fc2(x) 2025-08-14T21:44:54.8043153Z 2025-08-14T21:44:54.8043269Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8043474Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8043541Z return mod(*inputs) 2025-08-14T21:44:54.8043785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8043861Z xs = self.forward_features(x) 2025-08-14T21:44:54.8044100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8044182Z xs = blk(xs) 2025-08-14T21:44:54.8044391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.8044472Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.8044706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:44:54.8044814Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:44:54.8044825Z 2025-08-14T21:44:54.8044935Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8045142Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8045216Z return mod(*inputs) 2025-08-14T21:44:54.8045424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8045499Z xs = self.forward_features(x) 2025-08-14T21:44:54.8045744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8045809Z xs = blk(xs) 2025-08-14T21:44:54.8046014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.8046096Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.8046332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:44:54.8046448Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:44:54.8046683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 88, in forward 2025-08-14T21:44:54.8046844Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-08-14T21:44:54.8046848Z 2025-08-14T21:44:54.8046940Z cudagraph partition due to non gpu ops 2025-08-14T21:44:54.8047050Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8047270Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8047334Z return mod(*inputs) 2025-08-14T21:44:54.8047529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8047606Z xs = self.forward_features(x) 2025-08-14T21:44:54.8047825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8047887Z xs = blk(xs) 2025-08-14T21:44:54.8048104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.8048178Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.8048424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:44:54.8048535Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:44:54.8048764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-08-14T21:44:54.8048874Z x = F.scaled_dot_product_attention( 2025-08-14T21:44:54.8048880Z 2025-08-14T21:44:54.8048989Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8049200Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8049268Z return mod(*inputs) 2025-08-14T21:44:54.8049475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8049554Z xs = self.forward_features(x) 2025-08-14T21:44:54.8049836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8049897Z xs = blk(xs) 2025-08-14T21:44:54.8050102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.8050171Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.8050420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:44:54.8050523Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:44:54.8050748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 105, in forward 2025-08-14T21:44:54.8050818Z x = self.proj(x) 2025-08-14T21:44:54.8050821Z 2025-08-14T21:44:54.8050924Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8051119Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8051190Z return mod(*inputs) 2025-08-14T21:44:54.8051390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8051467Z xs = self.forward_features(x) 2025-08-14T21:44:54.8051688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8051752Z xs = blk(xs) 2025-08-14T21:44:54.8051955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.8052026Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.8052250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:44:54.8052362Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:44:54.8052547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:44:54.8052615Z x = self.fc1(x) 2025-08-14T21:44:54.8052619Z 2025-08-14T21:44:54.8052727Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8052923Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8052997Z return mod(*inputs) 2025-08-14T21:44:54.8053197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8053268Z xs = self.forward_features(x) 2025-08-14T21:44:54.8053498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8053559Z xs = blk(xs) 2025-08-14T21:44:54.8053763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.8053833Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.8054057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:44:54.8054173Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:44:54.8054369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:44:54.8054434Z x = self.act(x) 2025-08-14T21:44:54.8054446Z 2025-08-14T21:44:54.8054581Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8054787Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8054861Z return mod(*inputs) 2025-08-14T21:44:54.8055071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8055143Z xs = self.forward_features(x) 2025-08-14T21:44:54.8055382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8055445Z xs = blk(xs) 2025-08-14T21:44:54.8055687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:44:54.8055763Z outs_b.append(block(x[i])) 2025-08-14T21:44:54.8056016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:44:54.8056126Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:44:54.8056324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:44:54.8056386Z x = self.fc2(x) 2025-08-14T21:44:54.8056390Z 2025-08-14T21:44:54.8056503Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8056699Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8056769Z return mod(*inputs) 2025-08-14T21:44:54.8056966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8057037Z xs = self.forward_features(x) 2025-08-14T21:44:54.8057264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8057328Z xs = blk(xs) 2025-08-14T21:44:54.8057534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 262, in forward 2025-08-14T21:44:54.8057714Z tmp = torch.cat((proj_cls_token[i], outs_b[(i + 1) % self.num_branches][:, 1:, ...]), dim=1) 2025-08-14T21:44:54.8057717Z 2025-08-14T21:44:54.8057827Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8058038Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8058104Z return mod(*inputs) 2025-08-14T21:44:54.8058311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8058394Z xs = self.forward_features(x) 2025-08-14T21:44:54.8058627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8058689Z xs = blk(xs) 2025-08-14T21:44:54.8058905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 257, in forward 2025-08-14T21:44:54.8059013Z proj_cls_token.append(proj(outs_b[i][:, 0:1, ...])) 2025-08-14T21:44:54.8059020Z 2025-08-14T21:44:54.8059111Z cudagraph partition due to non gpu ops 2025-08-14T21:44:54.8059220Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8059430Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8059502Z return mod(*inputs) 2025-08-14T21:44:54.8059694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8059771Z xs = self.forward_features(x) 2025-08-14T21:44:54.8059999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8060061Z xs = blk(xs) 2025-08-14T21:44:54.8060273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 262, in forward 2025-08-14T21:44:54.8060433Z tmp = torch.cat((proj_cls_token[i], outs_b[(i + 1) % self.num_branches][:, 1:, ...]), dim=1) 2025-08-14T21:44:54.8060457Z 2025-08-14T21:44:54.8060564Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8060776Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8060845Z return mod(*inputs) 2025-08-14T21:44:54.8061057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8061129Z xs = self.forward_features(x) 2025-08-14T21:44:54.8061360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8061430Z xs = blk(xs) 2025-08-14T21:44:54.8061668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:44:54.8061738Z tmp = fusion(tmp) 2025-08-14T21:44:54.8061951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:44:54.8062078Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:44:54.8062289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 112, in forward 2025-08-14T21:44:54.8062451Z q = self.wq(x[:, 0:1, ...]).reshape(B, 1, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:44:54.8062456Z 2025-08-14T21:44:54.8062566Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8062784Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8062851Z return mod(*inputs) 2025-08-14T21:44:54.8063065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8063140Z xs = self.forward_features(x) 2025-08-14T21:44:54.8063372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8063441Z xs = blk(xs) 2025-08-14T21:44:54.8063650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:44:54.8063716Z tmp = fusion(tmp) 2025-08-14T21:44:54.8063929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:44:54.8064034Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:44:54.8064246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 114, in forward 2025-08-14T21:44:54.8064405Z k = self.wk(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:44:54.8064409Z 2025-08-14T21:44:54.8064520Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8064731Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8064797Z return mod(*inputs) 2025-08-14T21:44:54.8065006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8065092Z xs = self.forward_features(x) 2025-08-14T21:44:54.8065437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8065549Z xs = blk(xs) 2025-08-14T21:44:54.8065766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:44:54.8065836Z tmp = fusion(tmp) 2025-08-14T21:44:54.8066054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:44:54.8066159Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:44:54.8066377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 116, in forward 2025-08-14T21:44:54.8066542Z v = self.wv(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:44:54.8066579Z 2025-08-14T21:44:54.8066693Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8066923Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8066992Z return mod(*inputs) 2025-08-14T21:44:54.8067199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8067282Z xs = self.forward_features(x) 2025-08-14T21:44:54.8067517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8067588Z xs = blk(xs) 2025-08-14T21:44:54.8067824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:44:54.8067897Z tmp = fusion(tmp) 2025-08-14T21:44:54.8068110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:44:54.8068211Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:44:54.8068437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 122, in forward 2025-08-14T21:44:54.8068616Z x = (attn @ v).transpose(1, 2).reshape(B, 1, C) # (BH1N @ BHN(C/H)) -> BH1(C/H) -> B1H(C/H) -> B1C 2025-08-14T21:44:54.8068620Z 2025-08-14T21:44:54.8068729Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8068941Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8069009Z return mod(*inputs) 2025-08-14T21:44:54.8069215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8069300Z xs = self.forward_features(x) 2025-08-14T21:44:54.8069541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8069609Z xs = blk(xs) 2025-08-14T21:44:54.8069814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:44:54.8069884Z tmp = fusion(tmp) 2025-08-14T21:44:54.8070096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:44:54.8070195Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:44:54.8070400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 112, in forward 2025-08-14T21:44:54.8070563Z q = self.wq(x[:, 0:1, ...]).reshape(B, 1, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:44:54.8070567Z 2025-08-14T21:44:54.8070674Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8070889Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8070956Z return mod(*inputs) 2025-08-14T21:44:54.8071161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8071245Z xs = self.forward_features(x) 2025-08-14T21:44:54.8071476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8071539Z xs = blk(xs) 2025-08-14T21:44:54.8071749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:44:54.8071815Z tmp = fusion(tmp) 2025-08-14T21:44:54.8072029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:44:54.8072128Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:44:54.8072333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 114, in forward 2025-08-14T21:44:54.8072488Z k = self.wk(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:44:54.8072492Z 2025-08-14T21:44:54.8072634Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8072844Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8072912Z return mod(*inputs) 2025-08-14T21:44:54.8073115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8073196Z xs = self.forward_features(x) 2025-08-14T21:44:54.8073424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8073485Z xs = blk(xs) 2025-08-14T21:44:54.8073699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:44:54.8073795Z tmp = fusion(tmp) 2025-08-14T21:44:54.8074009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:44:54.8074107Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:44:54.8074329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 116, in forward 2025-08-14T21:44:54.8074483Z v = self.wv(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:44:54.8074487Z 2025-08-14T21:44:54.8074593Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8074798Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8074873Z return mod(*inputs) 2025-08-14T21:44:54.8075086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8075161Z xs = self.forward_features(x) 2025-08-14T21:44:54.8075381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8075440Z xs = blk(xs) 2025-08-14T21:44:54.8075641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:44:54.8075706Z tmp = fusion(tmp) 2025-08-14T21:44:54.8075896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:44:54.8075996Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:44:54.8076189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 123, in forward 2025-08-14T21:44:54.8076259Z x = self.proj(x) 2025-08-14T21:44:54.8076263Z 2025-08-14T21:44:54.8076363Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8076560Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8076630Z return mod(*inputs) 2025-08-14T21:44:54.8076821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8076895Z xs = self.forward_features(x) 2025-08-14T21:44:54.8077117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8077175Z xs = blk(xs) 2025-08-14T21:44:54.8077375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:44:54.8077436Z tmp = fusion(tmp) 2025-08-14T21:44:54.8077628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:44:54.8077729Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:44:54.8077921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 122, in forward 2025-08-14T21:44:54.8078086Z x = (attn @ v).transpose(1, 2).reshape(B, 1, C) # (BH1N @ BHN(C/H)) -> BH1(C/H) -> B1H(C/H) -> B1C 2025-08-14T21:44:54.8078090Z 2025-08-14T21:44:54.8078192Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8078384Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8078476Z return mod(*inputs) 2025-08-14T21:44:54.8078674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8078745Z xs = self.forward_features(x) 2025-08-14T21:44:54.8078972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8079032Z xs = blk(xs) 2025-08-14T21:44:54.8079233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 264, in forward 2025-08-14T21:44:54.8079345Z reverted_proj_cls_token = revert_proj(tmp[:, 0:1, ...]) 2025-08-14T21:44:54.8079376Z 2025-08-14T21:44:54.8079480Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8079689Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8079771Z return mod(*inputs) 2025-08-14T21:44:54.8079978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8080048Z xs = self.forward_features(x) 2025-08-14T21:44:54.8080271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8080337Z xs = blk(xs) 2025-08-14T21:44:54.8080532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:44:54.8080595Z tmp = fusion(tmp) 2025-08-14T21:44:54.8080800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:44:54.8080898Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:44:54.8081100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 123, in forward 2025-08-14T21:44:54.8081165Z x = self.proj(x) 2025-08-14T21:44:54.8081171Z 2025-08-14T21:44:54.8081252Z cudagraph partition due to non gpu ops 2025-08-14T21:44:54.8081361Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8081554Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8081619Z return mod(*inputs) 2025-08-14T21:44:54.8081821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8081890Z xs = self.forward_features(x) 2025-08-14T21:44:54.8082118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8082176Z xs = blk(xs) 2025-08-14T21:44:54.8082371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-08-14T21:44:54.8082513Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-08-14T21:44:54.8082517Z 2025-08-14T21:44:54.8082621Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8082815Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8082886Z return mod(*inputs) 2025-08-14T21:44:54.8083081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8083158Z xs = self.forward_features(x) 2025-08-14T21:44:54.8083378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8083438Z xs = blk(xs) 2025-08-14T21:44:54.8083638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 264, in forward 2025-08-14T21:44:54.8083753Z reverted_proj_cls_token = revert_proj(tmp[:, 0:1, ...]) 2025-08-14T21:44:54.8083757Z 2025-08-14T21:44:54.8083872Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8084079Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8084170Z return mod(*inputs) 2025-08-14T21:44:54.8084394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 463, in forward 2025-08-14T21:44:54.8084465Z x = self.forward_head(xs) 2025-08-14T21:44:54.8084676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 456, in forward_head 2025-08-14T21:44:54.8084764Z xs = [self.head_drop(x) for x in xs] 2025-08-14T21:44:54.8084972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 456, in 2025-08-14T21:44:54.8085058Z xs = [self.head_drop(x) for x in xs] 2025-08-14T21:44:54.8085062Z 2025-08-14T21:44:54.8085172Z cudagraph partition due to non gpu ops 2025-08-14T21:44:54.8085277Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8085478Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8085561Z return mod(*inputs) 2025-08-14T21:44:54.8085765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:44:54.8085844Z xs = self.forward_features(x) 2025-08-14T21:44:54.8086072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:44:54.8086137Z xs = blk(xs) 2025-08-14T21:44:54.8086339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-08-14T21:44:54.8086472Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-08-14T21:44:54.8086476Z 2025-08-14T21:44:54.8086589Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8086786Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8086849Z return mod(*inputs) 2025-08-14T21:44:54.8087060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 463, in forward 2025-08-14T21:44:54.8087133Z x = self.forward_head(xs) 2025-08-14T21:44:54.8087360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in forward_head 2025-08-14T21:44:54.8087541Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-08-14T21:44:54.8087757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in 2025-08-14T21:44:54.8087936Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-08-14T21:44:54.8087940Z 2025-08-14T21:44:54.8088044Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8088248Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8088313Z return mod(*inputs) 2025-08-14T21:44:54.8088514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 463, in forward 2025-08-14T21:44:54.8088594Z x = self.forward_head(xs) 2025-08-14T21:44:54.8088810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 456, in forward_head 2025-08-14T21:44:54.8088886Z xs = [self.head_drop(x) for x in xs] 2025-08-14T21:44:54.8089106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 456, in 2025-08-14T21:44:54.8089179Z xs = [self.head_drop(x) for x in xs] 2025-08-14T21:44:54.8089183Z 2025-08-14T21:44:54.8089291Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8089491Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8089554Z return mod(*inputs) 2025-08-14T21:44:54.8089762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 463, in forward 2025-08-14T21:44:54.8089850Z x = self.forward_head(xs) 2025-08-14T21:44:54.8090063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in forward_head 2025-08-14T21:44:54.8090235Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-08-14T21:44:54.8090444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in 2025-08-14T21:44:54.8090622Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-08-14T21:44:54.8090626Z 2025-08-14T21:44:54.8090733Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8090971Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8091048Z return mod(*inputs) 2025-08-14T21:44:54.8091259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 463, in forward 2025-08-14T21:44:54.8091362Z x = self.forward_head(xs) 2025-08-14T21:44:54.8091576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in forward_head 2025-08-14T21:44:54.8091741Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-08-14T21:44:54.8091744Z 2025-08-14T21:44:54.8091854Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:44:54.8092048Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:44:54.8092119Z return mod(*inputs) 2025-08-14T21:44:54.8092319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 463, in forward 2025-08-14T21:44:54.8092393Z x = self.forward_head(xs) 2025-08-14T21:44:54.8092615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in forward_head 2025-08-14T21:44:54.8092780Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-08-14T21:44:54.8092787Z 2025-08-14T21:45:08.8111299Z Compilation time (from dynamo_timed): 63.458329143 2025-08-14T21:45:08.8114153Z pass 2025-08-14T21:45:08.8118372Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:45:08.8119268Z TIMING: _recursive_pre_grad_passes:0.01115 _recursive_joint_graph_passes:2.80772 _recursive_post_grad_passes:0.17547 async_compile.wait:0.93314 code_gen:11.81533 inductor_compile:18.97002 backend_compile:47.21384 gc:8e-05 entire_frame_compile:63.45833 total_wall_time:63.45833 2025-08-14T21:45:08.8120448Z 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 2025-08-14T21:45:08.8123610Z Dynamo produced 1 graphs covering 487 ops with 0 graph breaks (0 unique) 2025-08-14T21:45:23.3486161Z 2025-08-14T21:45:23.6536660Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:45:23.6539442Z 2025-08-14T21:45:23.7623048Z model.safetensors: 0% 0.00/111M [00:00 2025-08-14T21:57:42.2078595Z xl = [t(x) for i, t in enumerate(self.transition1)] 2025-08-14T21:57:42.2078761Z 2025-08-14T21:57:42.2078872Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2079260Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2079600Z return mod(*inputs) 2025-08-14T21:57:42.2079899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2080238Z y = self.forward_features(x) 2025-08-14T21:57:42.2080598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2080951Z yl = self.stages(x) 2025-08-14T21:57:42.2081261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 750, in stages 2025-08-14T21:57:42.2081618Z xl = [t(x) for i, t in enumerate(self.transition1)] 2025-08-14T21:57:42.2081989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 750, in 2025-08-14T21:57:42.2082360Z xl = [t(x) for i, t in enumerate(self.transition1)] 2025-08-14T21:57:42.2082527Z 2025-08-14T21:57:42.2082638Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2083029Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2083369Z return mod(*inputs) 2025-08-14T21:57:42.2083700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2084049Z y = self.forward_features(x) 2025-08-14T21:57:42.2084427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2084786Z yl = self.stages(x) 2025-08-14T21:57:42.2085096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:57:42.2085431Z yl = self.stage2(xl) 2025-08-14T21:57:42.2085743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2086084Z x = module(x) 2025-08-14T21:57:42.2086389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2086731Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2087037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2087375Z x = self.conv1(x) 2025-08-14T21:57:42.2087481Z 2025-08-14T21:57:42.2087598Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2087973Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2088312Z return mod(*inputs) 2025-08-14T21:57:42.2088624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2088966Z y = self.forward_features(x) 2025-08-14T21:57:42.2089342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2089724Z yl = self.stages(x) 2025-08-14T21:57:42.2090029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:57:42.2090355Z yl = self.stage2(xl) 2025-08-14T21:57:42.2090667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2090998Z x = module(x) 2025-08-14T21:57:42.2091300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2091625Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2091960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2092298Z x = self.act1(x) 2025-08-14T21:57:42.2092400Z 2025-08-14T21:57:42.2092507Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2092894Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2093252Z return mod(*inputs) 2025-08-14T21:57:42.2093560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2093892Z y = self.forward_features(x) 2025-08-14T21:57:42.2094245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2094622Z yl = self.stages(x) 2025-08-14T21:57:42.2094920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:57:42.2095312Z yl = self.stage2(xl) 2025-08-14T21:57:42.2095629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2095958Z x = module(x) 2025-08-14T21:57:42.2096257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2096609Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2096922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2097252Z x = self.conv2(x) 2025-08-14T21:57:42.2097364Z 2025-08-14T21:57:42.2097473Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2097861Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2098226Z return mod(*inputs) 2025-08-14T21:57:42.2098529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2098868Z y = self.forward_features(x) 2025-08-14T21:57:42.2099231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2099597Z yl = self.stages(x) 2025-08-14T21:57:42.2099906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:57:42.2100247Z yl = self.stage2(xl) 2025-08-14T21:57:42.2100565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2100899Z x = module(x) 2025-08-14T21:57:42.2101199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2101544Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2101857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2102198Z x = self.act2(x) 2025-08-14T21:57:42.2102302Z 2025-08-14T21:57:42.2102427Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2102812Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2103169Z return mod(*inputs) 2025-08-14T21:57:42.2103481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2103897Z y = self.forward_features(x) 2025-08-14T21:57:42.2104259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2104645Z yl = self.stages(x) 2025-08-14T21:57:42.2104954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:57:42.2105381Z yl = self.stage2(xl) 2025-08-14T21:57:42.2105777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2106119Z x = module(x) 2025-08-14T21:57:42.2106532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2107057Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2107516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2107871Z x = self.conv1(x) 2025-08-14T21:57:42.2107980Z 2025-08-14T21:57:42.2108091Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2108487Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2108838Z return mod(*inputs) 2025-08-14T21:57:42.2109157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2109497Z y = self.forward_features(x) 2025-08-14T21:57:42.2109867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2110239Z yl = self.stages(x) 2025-08-14T21:57:42.2110547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:57:42.2110896Z yl = self.stage2(xl) 2025-08-14T21:57:42.2111221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2111562Z x = module(x) 2025-08-14T21:57:42.2111861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2112208Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2112529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2112868Z x = self.act1(x) 2025-08-14T21:57:42.2112982Z 2025-08-14T21:57:42.2113115Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2113509Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2113865Z return mod(*inputs) 2025-08-14T21:57:42.2114164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2114502Z y = self.forward_features(x) 2025-08-14T21:57:42.2114864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2115220Z yl = self.stages(x) 2025-08-14T21:57:42.2115529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:57:42.2115855Z yl = self.stage2(xl) 2025-08-14T21:57:42.2116163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2116479Z x = module(x) 2025-08-14T21:57:42.2116777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2117116Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2117422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2117765Z x = self.conv2(x) 2025-08-14T21:57:42.2117893Z 2025-08-14T21:57:42.2118069Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2118574Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2118944Z return mod(*inputs) 2025-08-14T21:57:42.2119277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2119614Z y = self.forward_features(x) 2025-08-14T21:57:42.2119961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2120317Z yl = self.stages(x) 2025-08-14T21:57:42.2120626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:57:42.2120957Z yl = self.stage2(xl) 2025-08-14T21:57:42.2121275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2121602Z x = module(x) 2025-08-14T21:57:42.2121897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2122219Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2122534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2122869Z x = self.act2(x) 2025-08-14T21:57:42.2122970Z 2025-08-14T21:57:42.2123084Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2123456Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2123794Z return mod(*inputs) 2025-08-14T21:57:42.2124102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2124431Z y = self.forward_features(x) 2025-08-14T21:57:42.2124790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2125161Z yl = self.stages(x) 2025-08-14T21:57:42.2125463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:57:42.2125801Z yl = self.stage2(xl) 2025-08-14T21:57:42.2126122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2126465Z x = module(x) 2025-08-14T21:57:42.2126892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2127234Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2127560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2127968Z x = self.conv1(x) 2025-08-14T21:57:42.2128090Z 2025-08-14T21:57:42.2128202Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2128605Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2128944Z return mod(*inputs) 2025-08-14T21:57:42.2129251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2129596Z y = self.forward_features(x) 2025-08-14T21:57:42.2129958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2130338Z yl = self.stages(x) 2025-08-14T21:57:42.2130646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:57:42.2130991Z yl = self.stage2(xl) 2025-08-14T21:57:42.2131309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2131642Z x = module(x) 2025-08-14T21:57:42.2131951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2132296Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2132632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2132982Z x = self.act1(x) 2025-08-14T21:57:42.2133089Z 2025-08-14T21:57:42.2133197Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2133628Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2134009Z return mod(*inputs) 2025-08-14T21:57:42.2134312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2134661Z y = self.forward_features(x) 2025-08-14T21:57:42.2135014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2135398Z yl = self.stages(x) 2025-08-14T21:57:42.2135704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:57:42.2136075Z yl = self.stage2(xl) 2025-08-14T21:57:42.2136391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2136728Z x = module(x) 2025-08-14T21:57:42.2137032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2137372Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2137718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2138076Z x = self.conv2(x) 2025-08-14T21:57:42.2138180Z 2025-08-14T21:57:42.2138300Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2138689Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2139043Z return mod(*inputs) 2025-08-14T21:57:42.2139360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2139707Z y = self.forward_features(x) 2025-08-14T21:57:42.2140081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2140456Z yl = self.stages(x) 2025-08-14T21:57:42.2140775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:57:42.2141113Z yl = self.stage2(xl) 2025-08-14T21:57:42.2141431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2141771Z x = module(x) 2025-08-14T21:57:42.2142071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2142420Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2142766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2143107Z x = self.act2(x) 2025-08-14T21:57:42.2143220Z 2025-08-14T21:57:42.2143332Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2143715Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2144084Z return mod(*inputs) 2025-08-14T21:57:42.2144393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2144742Z y = self.forward_features(x) 2025-08-14T21:57:42.2145108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2145572Z yl = self.stages(x) 2025-08-14T21:57:42.2145896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:57:42.2146241Z yl = self.stage2(xl) 2025-08-14T21:57:42.2146567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2146904Z x = module(x) 2025-08-14T21:57:42.2147211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2147556Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2147874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2148252Z x = self.conv1(x) 2025-08-14T21:57:42.2148386Z 2025-08-14T21:57:42.2148497Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2148885Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2149246Z return mod(*inputs) 2025-08-14T21:57:42.2149560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2149913Z y = self.forward_features(x) 2025-08-14T21:57:42.2150275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2150641Z yl = self.stages(x) 2025-08-14T21:57:42.2150969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:57:42.2151302Z yl = self.stage2(xl) 2025-08-14T21:57:42.2151615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2151953Z x = module(x) 2025-08-14T21:57:42.2152260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2152595Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2152914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2153255Z x = self.act1(x) 2025-08-14T21:57:42.2153357Z 2025-08-14T21:57:42.2153480Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2153867Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2154216Z return mod(*inputs) 2025-08-14T21:57:42.2154522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2154855Z y = self.forward_features(x) 2025-08-14T21:57:42.2155213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2155579Z yl = self.stages(x) 2025-08-14T21:57:42.2155881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:57:42.2156201Z yl = self.stage2(xl) 2025-08-14T21:57:42.2156508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2156833Z x = module(x) 2025-08-14T21:57:42.2157143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2157477Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2157789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2158126Z x = self.conv2(x) 2025-08-14T21:57:42.2158227Z 2025-08-14T21:57:42.2158336Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2158719Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2159062Z return mod(*inputs) 2025-08-14T21:57:42.2159361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2159695Z y = self.forward_features(x) 2025-08-14T21:57:42.2160055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2160413Z yl = self.stages(x) 2025-08-14T21:57:42.2160708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:57:42.2161035Z yl = self.stage2(xl) 2025-08-14T21:57:42.2161345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2161668Z x = module(x) 2025-08-14T21:57:42.2161978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2162368Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2162675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2163019Z x = self.act2(x) 2025-08-14T21:57:42.2163126Z 2025-08-14T21:57:42.2163232Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2163611Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2163942Z return mod(*inputs) 2025-08-14T21:57:42.2164258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2164607Z y = self.forward_features(x) 2025-08-14T21:57:42.2165000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2165357Z yl = self.stages(x) 2025-08-14T21:57:42.2165656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 750, in stages 2025-08-14T21:57:42.2166024Z xl = [t(x) for i, t in enumerate(self.transition1)] 2025-08-14T21:57:42.2166405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 750, in 2025-08-14T21:57:42.2166785Z xl = [t(x) for i, t in enumerate(self.transition1)] 2025-08-14T21:57:42.2166955Z 2025-08-14T21:57:42.2167067Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2167461Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2167803Z return mod(*inputs) 2025-08-14T21:57:42.2168117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2168470Z y = self.forward_features(x) 2025-08-14T21:57:42.2168834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2169195Z yl = self.stages(x) 2025-08-14T21:57:42.2169495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 750, in stages 2025-08-14T21:57:42.2169857Z xl = [t(x) for i, t in enumerate(self.transition1)] 2025-08-14T21:57:42.2170221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 750, in 2025-08-14T21:57:42.2170593Z xl = [t(x) for i, t in enumerate(self.transition1)] 2025-08-14T21:57:42.2170747Z 2025-08-14T21:57:42.2170863Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2171257Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2171602Z return mod(*inputs) 2025-08-14T21:57:42.2171915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2172257Z y = self.forward_features(x) 2025-08-14T21:57:42.2172606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2172970Z yl = self.stages(x) 2025-08-14T21:57:42.2173337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:57:42.2173800Z yl = self.stage2(xl) 2025-08-14T21:57:42.2174144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2174490Z x = module(x) 2025-08-14T21:57:42.2174813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2175148Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2175476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2175823Z x = self.conv1(x) 2025-08-14T21:57:42.2175928Z 2025-08-14T21:57:42.2176040Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2176430Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2176814Z return mod(*inputs) 2025-08-14T21:57:42.2177132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2177507Z y = self.forward_features(x) 2025-08-14T21:57:42.2177877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2178254Z yl = self.stages(x) 2025-08-14T21:57:42.2178568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:57:42.2178921Z yl = self.stage2(xl) 2025-08-14T21:57:42.2179238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2179594Z x = module(x) 2025-08-14T21:57:42.2179892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2180231Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2180558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2180900Z x = self.act1(x) 2025-08-14T21:57:42.2181014Z 2025-08-14T21:57:42.2181130Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2181519Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2181895Z return mod(*inputs) 2025-08-14T21:57:42.2182209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2182564Z y = self.forward_features(x) 2025-08-14T21:57:42.2182937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2183300Z yl = self.stages(x) 2025-08-14T21:57:42.2183611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:57:42.2183952Z yl = self.stage2(xl) 2025-08-14T21:57:42.2184275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2184607Z x = module(x) 2025-08-14T21:57:42.2184910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2185249Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2185677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2186069Z x = self.conv2(x) 2025-08-14T21:57:42.2186184Z 2025-08-14T21:57:42.2186307Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2186704Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2187050Z return mod(*inputs) 2025-08-14T21:57:42.2187371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2187719Z y = self.forward_features(x) 2025-08-14T21:57:42.2188083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2188457Z yl = self.stages(x) 2025-08-14T21:57:42.2188769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:57:42.2189104Z yl = self.stage2(xl) 2025-08-14T21:57:42.2189415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2189751Z x = module(x) 2025-08-14T21:57:42.2190058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2190388Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2190705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2191053Z x = self.act2(x) 2025-08-14T21:57:42.2191156Z 2025-08-14T21:57:42.2191269Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2191693Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2192075Z return mod(*inputs) 2025-08-14T21:57:42.2192389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2192729Z y = self.forward_features(x) 2025-08-14T21:57:42.2193098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2193466Z yl = self.stages(x) 2025-08-14T21:57:42.2193767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:57:42.2194127Z yl = self.stage2(xl) 2025-08-14T21:57:42.2194454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2194786Z x = module(x) 2025-08-14T21:57:42.2195081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2195421Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2195749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2196085Z x = self.conv1(x) 2025-08-14T21:57:42.2196202Z 2025-08-14T21:57:42.2196312Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2196708Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2197054Z return mod(*inputs) 2025-08-14T21:57:42.2197363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2197709Z y = self.forward_features(x) 2025-08-14T21:57:42.2198075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2198434Z yl = self.stages(x) 2025-08-14T21:57:42.2198747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:57:42.2199090Z yl = self.stage2(xl) 2025-08-14T21:57:42.2199407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2199731Z x = module(x) 2025-08-14T21:57:42.2200044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2200387Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2200718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2201067Z x = self.act1(x) 2025-08-14T21:57:42.2201178Z 2025-08-14T21:57:42.2201301Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2201682Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2202012Z return mod(*inputs) 2025-08-14T21:57:42.2202330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2202685Z y = self.forward_features(x) 2025-08-14T21:57:42.2203048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2203424Z yl = self.stages(x) 2025-08-14T21:57:42.2203737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:57:42.2204082Z yl = self.stage2(xl) 2025-08-14T21:57:42.2204399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2204737Z x = module(x) 2025-08-14T21:57:42.2205049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2205388Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2205697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2206051Z x = self.conv2(x) 2025-08-14T21:57:42.2206152Z 2025-08-14T21:57:42.2206287Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2206653Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2206999Z return mod(*inputs) 2025-08-14T21:57:42.2207321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2207664Z y = self.forward_features(x) 2025-08-14T21:57:42.2208032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2208403Z yl = self.stages(x) 2025-08-14T21:57:42.2208733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:57:42.2209074Z yl = self.stage2(xl) 2025-08-14T21:57:42.2209383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2209723Z x = module(x) 2025-08-14T21:57:42.2210027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2210365Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2210685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2211032Z x = self.act2(x) 2025-08-14T21:57:42.2211135Z 2025-08-14T21:57:42.2211247Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2211624Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2211958Z return mod(*inputs) 2025-08-14T21:57:42.2212258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2212593Z y = self.forward_features(x) 2025-08-14T21:57:42.2212969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2213344Z yl = self.stages(x) 2025-08-14T21:57:42.2213651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:57:42.2213996Z yl = self.stage2(xl) 2025-08-14T21:57:42.2214318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2214649Z x = module(x) 2025-08-14T21:57:42.2214975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2215307Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2215629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2215974Z x = self.conv1(x) 2025-08-14T21:57:42.2216083Z 2025-08-14T21:57:42.2216190Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2216568Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2216940Z return mod(*inputs) 2025-08-14T21:57:42.2217250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2217601Z y = self.forward_features(x) 2025-08-14T21:57:42.2217979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2218349Z yl = self.stages(x) 2025-08-14T21:57:42.2218660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:57:42.2219019Z yl = self.stage2(xl) 2025-08-14T21:57:42.2219334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2219669Z x = module(x) 2025-08-14T21:57:42.2219973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2220302Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2220642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2221000Z x = self.act1(x) 2025-08-14T21:57:42.2221104Z 2025-08-14T21:57:42.2221219Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2221602Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2221953Z return mod(*inputs) 2025-08-14T21:57:42.2222273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2222609Z y = self.forward_features(x) 2025-08-14T21:57:42.2222996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2223370Z yl = self.stages(x) 2025-08-14T21:57:42.2223679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:57:42.2224010Z yl = self.stage2(xl) 2025-08-14T21:57:42.2224327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2224662Z x = module(x) 2025-08-14T21:57:42.2224954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2225365Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2225719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2226080Z x = self.conv2(x) 2025-08-14T21:57:42.2226189Z 2025-08-14T21:57:42.2226304Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2226812Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2227182Z return mod(*inputs) 2025-08-14T21:57:42.2227502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2227859Z y = self.forward_features(x) 2025-08-14T21:57:42.2228235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2228620Z yl = self.stages(x) 2025-08-14T21:57:42.2228931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:57:42.2229281Z yl = self.stage2(xl) 2025-08-14T21:57:42.2229651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2229982Z x = module(x) 2025-08-14T21:57:42.2230199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2230272Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2230484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2230560Z x = self.act2(x) 2025-08-14T21:57:42.2230565Z 2025-08-14T21:57:42.2230678Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2230902Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2230973Z return mod(*inputs) 2025-08-14T21:57:42.2231187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2231271Z y = self.forward_features(x) 2025-08-14T21:57:42.2231501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2231576Z yl = self.stages(x) 2025-08-14T21:57:42.2231770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:57:42.2231841Z yl = self.stage2(xl) 2025-08-14T21:57:42.2232042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2232106Z x = module(x) 2025-08-14T21:57:42.2232300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2232445Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2232650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2232716Z x = self.conv1(x) 2025-08-14T21:57:42.2232728Z 2025-08-14T21:57:42.2232838Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2233049Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2233124Z return mod(*inputs) 2025-08-14T21:57:42.2233321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2233423Z y = self.forward_features(x) 2025-08-14T21:57:42.2233666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2233734Z yl = self.stages(x) 2025-08-14T21:57:42.2233940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:57:42.2234011Z yl = self.stage2(xl) 2025-08-14T21:57:42.2234211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2234282Z x = module(x) 2025-08-14T21:57:42.2234481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2234550Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2234763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2234829Z x = self.act1(x) 2025-08-14T21:57:42.2234833Z 2025-08-14T21:57:42.2234950Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2235159Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2235226Z return mod(*inputs) 2025-08-14T21:57:42.2235430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2235506Z y = self.forward_features(x) 2025-08-14T21:57:42.2235733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2235806Z yl = self.stages(x) 2025-08-14T21:57:42.2236003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:57:42.2236102Z yl = self.stage2(xl) 2025-08-14T21:57:42.2236299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2236360Z x = module(x) 2025-08-14T21:57:42.2236566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2236633Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2236836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2236910Z x = self.conv2(x) 2025-08-14T21:57:42.2236915Z 2025-08-14T21:57:42.2237023Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2237238Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2237305Z return mod(*inputs) 2025-08-14T21:57:42.2237502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2237584Z y = self.forward_features(x) 2025-08-14T21:57:42.2237811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2237879Z yl = self.stages(x) 2025-08-14T21:57:42.2238084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:57:42.2238152Z yl = self.stage2(xl) 2025-08-14T21:57:42.2238355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2238440Z x = module(x) 2025-08-14T21:57:42.2238658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.2238730Z y = f(x[j]) 2025-08-14T21:57:42.2238734Z 2025-08-14T21:57:42.2238842Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2239060Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2239137Z return mod(*inputs) 2025-08-14T21:57:42.2239333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2239414Z y = self.forward_features(x) 2025-08-14T21:57:42.2239661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2239729Z yl = self.stages(x) 2025-08-14T21:57:42.2239930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:57:42.2240002Z yl = self.stage2(xl) 2025-08-14T21:57:42.2240196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2240266Z x = module(x) 2025-08-14T21:57:42.2240459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2240529Z y = y + f(x[j]) 2025-08-14T21:57:42.2240533Z 2025-08-14T21:57:42.2240643Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2240851Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2240928Z return mod(*inputs) 2025-08-14T21:57:42.2241123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2241196Z y = self.forward_features(x) 2025-08-14T21:57:42.2241428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2241500Z yl = self.stages(x) 2025-08-14T21:57:42.2241697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:57:42.2241766Z yl = self.stage2(xl) 2025-08-14T21:57:42.2241961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2242030Z x = module(x) 2025-08-14T21:57:42.2242242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2242308Z y = y + f(x[j]) 2025-08-14T21:57:42.2242312Z 2025-08-14T21:57:42.2242428Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2242647Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2242720Z return mod(*inputs) 2025-08-14T21:57:42.2242919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2242996Z y = self.forward_features(x) 2025-08-14T21:57:42.2243229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2243294Z yl = self.stages(x) 2025-08-14T21:57:42.2243487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:57:42.2243562Z yl = self.stage2(xl) 2025-08-14T21:57:42.2243759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2243829Z x = module(x) 2025-08-14T21:57:42.2244025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:57:42.2244106Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:57:42.2244111Z 2025-08-14T21:57:42.2244226Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2244463Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2244544Z return mod(*inputs) 2025-08-14T21:57:42.2244742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2244811Z y = self.forward_features(x) 2025-08-14T21:57:42.2245041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2245105Z yl = self.stages(x) 2025-08-14T21:57:42.2245291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2245365Z yl = self.stage3(xl) 2025-08-14T21:57:42.2245582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2245642Z x = module(x) 2025-08-14T21:57:42.2245839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2245904Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2247541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2247620Z x = self.conv1(x) 2025-08-14T21:57:42.2247623Z 2025-08-14T21:57:42.2247727Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2247932Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2247998Z return mod(*inputs) 2025-08-14T21:57:42.2248185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2248263Z y = self.forward_features(x) 2025-08-14T21:57:42.2248480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2248550Z yl = self.stages(x) 2025-08-14T21:57:42.2248736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2248805Z yl = self.stage3(xl) 2025-08-14T21:57:42.2249012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2249074Z x = module(x) 2025-08-14T21:57:42.2249271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2249345Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2249571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2249643Z x = self.act1(x) 2025-08-14T21:57:42.2249647Z 2025-08-14T21:57:42.2249752Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2249961Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2250034Z return mod(*inputs) 2025-08-14T21:57:42.2250228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2250302Z y = self.forward_features(x) 2025-08-14T21:57:42.2250537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2250603Z yl = self.stages(x) 2025-08-14T21:57:42.2250804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2250867Z yl = self.stage3(xl) 2025-08-14T21:57:42.2251052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2251120Z x = module(x) 2025-08-14T21:57:42.2251306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2251368Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2251565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2251651Z x = self.conv2(x) 2025-08-14T21:57:42.2251654Z 2025-08-14T21:57:42.2251764Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2251984Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2252052Z return mod(*inputs) 2025-08-14T21:57:42.2252254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2252326Z y = self.forward_features(x) 2025-08-14T21:57:42.2252555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2252629Z yl = self.stages(x) 2025-08-14T21:57:42.2252838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2252912Z yl = self.stage3(xl) 2025-08-14T21:57:42.2253108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2253172Z x = module(x) 2025-08-14T21:57:42.2253376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2253444Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2253646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2253720Z x = self.act2(x) 2025-08-14T21:57:42.2253723Z 2025-08-14T21:57:42.2253832Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2254048Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2254115Z return mod(*inputs) 2025-08-14T21:57:42.2254312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2254394Z y = self.forward_features(x) 2025-08-14T21:57:42.2254621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2254690Z yl = self.stages(x) 2025-08-14T21:57:42.2254894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2254962Z yl = self.stage3(xl) 2025-08-14T21:57:42.2255165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2255240Z x = module(x) 2025-08-14T21:57:42.2255491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2255566Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2255772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2255838Z x = self.conv1(x) 2025-08-14T21:57:42.2255842Z 2025-08-14T21:57:42.2255957Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2256161Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2256236Z return mod(*inputs) 2025-08-14T21:57:42.2256435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2256507Z y = self.forward_features(x) 2025-08-14T21:57:42.2256744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2256810Z yl = self.stages(x) 2025-08-14T21:57:42.2257006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2257081Z yl = self.stage3(xl) 2025-08-14T21:57:42.2257279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2257348Z x = module(x) 2025-08-14T21:57:42.2257543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2257610Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2257838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2257918Z x = self.act1(x) 2025-08-14T21:57:42.2257922Z 2025-08-14T21:57:42.2258032Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2258257Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2258325Z return mod(*inputs) 2025-08-14T21:57:42.2258531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2258605Z y = self.forward_features(x) 2025-08-14T21:57:42.2258853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2258929Z yl = self.stages(x) 2025-08-14T21:57:42.2259121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2259190Z yl = self.stage3(xl) 2025-08-14T21:57:42.2259397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2259461Z x = module(x) 2025-08-14T21:57:42.2259666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2259732Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2259936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2260011Z x = self.conv2(x) 2025-08-14T21:57:42.2260015Z 2025-08-14T21:57:42.2260123Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2260347Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2260423Z return mod(*inputs) 2025-08-14T21:57:42.2260617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2260695Z y = self.forward_features(x) 2025-08-14T21:57:42.2260927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2260994Z yl = self.stages(x) 2025-08-14T21:57:42.2261193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2261261Z yl = self.stage3(xl) 2025-08-14T21:57:42.2261454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2261539Z x = module(x) 2025-08-14T21:57:42.2261736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2261807Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2262013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2262078Z x = self.act2(x) 2025-08-14T21:57:42.2262081Z 2025-08-14T21:57:42.2262195Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2262402Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2262471Z return mod(*inputs) 2025-08-14T21:57:42.2262673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2262745Z y = self.forward_features(x) 2025-08-14T21:57:42.2262979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2263045Z yl = self.stages(x) 2025-08-14T21:57:42.2263240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2263318Z yl = self.stage3(xl) 2025-08-14T21:57:42.2263519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2263583Z x = module(x) 2025-08-14T21:57:42.2263793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2263899Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2264119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2264187Z x = self.conv1(x) 2025-08-14T21:57:42.2264191Z 2025-08-14T21:57:42.2264301Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2264524Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2264593Z return mod(*inputs) 2025-08-14T21:57:42.2264798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2264900Z y = self.forward_features(x) 2025-08-14T21:57:42.2265135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2265213Z yl = self.stages(x) 2025-08-14T21:57:42.2265490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2265574Z yl = self.stage3(xl) 2025-08-14T21:57:42.2265787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2265852Z x = module(x) 2025-08-14T21:57:42.2266052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2266130Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2266340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2266419Z x = self.act1(x) 2025-08-14T21:57:42.2266424Z 2025-08-14T21:57:42.2266538Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2266764Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2266843Z return mod(*inputs) 2025-08-14T21:57:42.2267038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2267117Z y = self.forward_features(x) 2025-08-14T21:57:42.2267354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2267423Z yl = self.stages(x) 2025-08-14T21:57:42.2267627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2267721Z yl = self.stage3(xl) 2025-08-14T21:57:42.2267917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2267987Z x = module(x) 2025-08-14T21:57:42.2268186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2268253Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2268462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2268529Z x = self.conv2(x) 2025-08-14T21:57:42.2268533Z 2025-08-14T21:57:42.2268648Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2268852Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2268918Z return mod(*inputs) 2025-08-14T21:57:42.2269120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2269194Z y = self.forward_features(x) 2025-08-14T21:57:42.2269424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2269497Z yl = self.stages(x) 2025-08-14T21:57:42.2269693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2269768Z yl = self.stage3(xl) 2025-08-14T21:57:42.2269962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2270052Z x = module(x) 2025-08-14T21:57:42.2270287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2270355Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2270554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2270625Z x = self.act2(x) 2025-08-14T21:57:42.2270629Z 2025-08-14T21:57:42.2270736Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2270948Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2271014Z return mod(*inputs) 2025-08-14T21:57:42.2271225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2271308Z y = self.forward_features(x) 2025-08-14T21:57:42.2271536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2271605Z yl = self.stages(x) 2025-08-14T21:57:42.2271816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2271886Z yl = self.stage3(xl) 2025-08-14T21:57:42.2272094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2272157Z x = module(x) 2025-08-14T21:57:42.2272354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2272427Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2272630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2272695Z x = self.conv1(x) 2025-08-14T21:57:42.2272707Z 2025-08-14T21:57:42.2272814Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2273020Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2273096Z return mod(*inputs) 2025-08-14T21:57:42.2273292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2273364Z y = self.forward_features(x) 2025-08-14T21:57:42.2273595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2273661Z yl = self.stages(x) 2025-08-14T21:57:42.2273884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2273953Z yl = self.stage3(xl) 2025-08-14T21:57:42.2274148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2274216Z x = module(x) 2025-08-14T21:57:42.2274410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2274475Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2274684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2274749Z x = self.act1(x) 2025-08-14T21:57:42.2274753Z 2025-08-14T21:57:42.2274866Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2275070Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2275134Z return mod(*inputs) 2025-08-14T21:57:42.2275339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2275412Z y = self.forward_features(x) 2025-08-14T21:57:42.2275641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2275715Z yl = self.stages(x) 2025-08-14T21:57:42.2275907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2276007Z yl = self.stage3(xl) 2025-08-14T21:57:42.2276214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2276297Z x = module(x) 2025-08-14T21:57:42.2276509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2276576Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2276785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2276862Z x = self.conv2(x) 2025-08-14T21:57:42.2276866Z 2025-08-14T21:57:42.2276976Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2277216Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2277287Z return mod(*inputs) 2025-08-14T21:57:42.2277495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2277578Z y = self.forward_features(x) 2025-08-14T21:57:42.2277808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2277877Z yl = self.stages(x) 2025-08-14T21:57:42.2278081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2278148Z yl = self.stage3(xl) 2025-08-14T21:57:42.2278356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2278421Z x = module(x) 2025-08-14T21:57:42.2278630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2278709Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2278920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2278986Z x = self.act2(x) 2025-08-14T21:57:42.2278989Z 2025-08-14T21:57:42.2279111Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2279324Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2279401Z return mod(*inputs) 2025-08-14T21:57:42.2279607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2279682Z y = self.forward_features(x) 2025-08-14T21:57:42.2279945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2280016Z yl = self.stages(x) 2025-08-14T21:57:42.2280219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2280300Z yl = self.stage3(xl) 2025-08-14T21:57:42.2280506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2280576Z x = module(x) 2025-08-14T21:57:42.2280780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2280849Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2281064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2281135Z x = self.conv1(x) 2025-08-14T21:57:42.2281139Z 2025-08-14T21:57:42.2281249Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2281493Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2281562Z return mod(*inputs) 2025-08-14T21:57:42.2281772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2281849Z y = self.forward_features(x) 2025-08-14T21:57:42.2282081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2282159Z yl = self.stages(x) 2025-08-14T21:57:42.2282379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2282468Z yl = self.stage3(xl) 2025-08-14T21:57:42.2282674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2282738Z x = module(x) 2025-08-14T21:57:42.2282944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2283013Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2283218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2283291Z x = self.act1(x) 2025-08-14T21:57:42.2283294Z 2025-08-14T21:57:42.2283423Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2283638Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2283715Z return mod(*inputs) 2025-08-14T21:57:42.2283919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2284004Z y = self.forward_features(x) 2025-08-14T21:57:42.2284238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2284306Z yl = self.stages(x) 2025-08-14T21:57:42.2284512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2284583Z yl = self.stage3(xl) 2025-08-14T21:57:42.2284786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2284858Z x = module(x) 2025-08-14T21:57:42.2285058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2285133Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2285340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2285409Z x = self.conv2(x) 2025-08-14T21:57:42.2285414Z 2025-08-14T21:57:42.2285529Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2285740Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2285807Z return mod(*inputs) 2025-08-14T21:57:42.2286014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2286109Z y = self.forward_features(x) 2025-08-14T21:57:42.2286351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2286420Z yl = self.stages(x) 2025-08-14T21:57:42.2286617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2286696Z yl = self.stage3(xl) 2025-08-14T21:57:42.2286900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2286966Z x = module(x) 2025-08-14T21:57:42.2287175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2287242Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2287453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2287518Z x = self.act2(x) 2025-08-14T21:57:42.2287523Z 2025-08-14T21:57:42.2287635Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2287852Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2287923Z return mod(*inputs) 2025-08-14T21:57:42.2288124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2288207Z y = self.forward_features(x) 2025-08-14T21:57:42.2288438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2288551Z yl = self.stages(x) 2025-08-14T21:57:42.2288751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2288821Z yl = self.stage3(xl) 2025-08-14T21:57:42.2289032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2289096Z x = module(x) 2025-08-14T21:57:42.2289300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2289375Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2289598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2289674Z x = self.conv1(x) 2025-08-14T21:57:42.2289678Z 2025-08-14T21:57:42.2289788Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2290003Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2290081Z return mod(*inputs) 2025-08-14T21:57:42.2290288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2290364Z y = self.forward_features(x) 2025-08-14T21:57:42.2290608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2290676Z yl = self.stages(x) 2025-08-14T21:57:42.2290886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2290959Z yl = self.stage3(xl) 2025-08-14T21:57:42.2291164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2291238Z x = module(x) 2025-08-14T21:57:42.2291440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2291508Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2291722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2291790Z x = self.act1(x) 2025-08-14T21:57:42.2291794Z 2025-08-14T21:57:42.2291923Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2292130Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2292197Z return mod(*inputs) 2025-08-14T21:57:42.2292427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2292505Z y = self.forward_features(x) 2025-08-14T21:57:42.2292736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2292810Z yl = self.stages(x) 2025-08-14T21:57:42.2293005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2293083Z yl = self.stage3(xl) 2025-08-14T21:57:42.2293282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2293345Z x = module(x) 2025-08-14T21:57:42.2293547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2293613Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2293818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2293893Z x = self.conv2(x) 2025-08-14T21:57:42.2293897Z 2025-08-14T21:57:42.2294004Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2294218Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2294283Z return mod(*inputs) 2025-08-14T21:57:42.2294480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2294587Z y = self.forward_features(x) 2025-08-14T21:57:42.2294832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2294897Z yl = self.stages(x) 2025-08-14T21:57:42.2295101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2295167Z yl = self.stage3(xl) 2025-08-14T21:57:42.2295372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2295436Z x = module(x) 2025-08-14T21:57:42.2295649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2295727Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2295933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2296000Z x = self.act2(x) 2025-08-14T21:57:42.2296006Z 2025-08-14T21:57:42.2296123Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2296339Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2296415Z return mod(*inputs) 2025-08-14T21:57:42.2296615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2296692Z y = self.forward_features(x) 2025-08-14T21:57:42.2296937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2297004Z yl = self.stages(x) 2025-08-14T21:57:42.2297206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2297286Z yl = self.stage3(xl) 2025-08-14T21:57:42.2297488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2297560Z x = module(x) 2025-08-14T21:57:42.2297769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2297835Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2298041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2298106Z x = self.conv1(x) 2025-08-14T21:57:42.2298110Z 2025-08-14T21:57:42.2298219Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2298454Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2298523Z return mod(*inputs) 2025-08-14T21:57:42.2298727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2298799Z y = self.forward_features(x) 2025-08-14T21:57:42.2299023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2299097Z yl = self.stages(x) 2025-08-14T21:57:42.2299297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2299367Z yl = self.stage3(xl) 2025-08-14T21:57:42.2299572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2299635Z x = module(x) 2025-08-14T21:57:42.2299839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2299907Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2300105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2300176Z x = self.act1(x) 2025-08-14T21:57:42.2300181Z 2025-08-14T21:57:42.2300289Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2300495Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2300603Z return mod(*inputs) 2025-08-14T21:57:42.2300802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2300902Z y = self.forward_features(x) 2025-08-14T21:57:42.2301143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2301210Z yl = self.stages(x) 2025-08-14T21:57:42.2301413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2301481Z yl = self.stage3(xl) 2025-08-14T21:57:42.2301678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2301771Z x = module(x) 2025-08-14T21:57:42.2301972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2302047Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2302252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2302322Z x = self.conv2(x) 2025-08-14T21:57:42.2302325Z 2025-08-14T21:57:42.2302438Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2302665Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2302732Z return mod(*inputs) 2025-08-14T21:57:42.2302938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2303011Z y = self.forward_features(x) 2025-08-14T21:57:42.2303247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2303314Z yl = self.stages(x) 2025-08-14T21:57:42.2303504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2303578Z yl = self.stage3(xl) 2025-08-14T21:57:42.2303775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2303840Z x = module(x) 2025-08-14T21:57:42.2304044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2304110Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2304322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2304386Z x = self.act2(x) 2025-08-14T21:57:42.2304409Z 2025-08-14T21:57:42.2304519Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2304730Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2304799Z return mod(*inputs) 2025-08-14T21:57:42.2304992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2305076Z y = self.forward_features(x) 2025-08-14T21:57:42.2305392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2305484Z yl = self.stages(x) 2025-08-14T21:57:42.2305686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2305761Z yl = self.stage3(xl) 2025-08-14T21:57:42.2305974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2306043Z x = module(x) 2025-08-14T21:57:42.2306250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2306326Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2306539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2306619Z x = self.conv1(x) 2025-08-14T21:57:42.2306624Z 2025-08-14T21:57:42.2306737Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2306980Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2307085Z return mod(*inputs) 2025-08-14T21:57:42.2307300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2307373Z y = self.forward_features(x) 2025-08-14T21:57:42.2307612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2307691Z yl = self.stages(x) 2025-08-14T21:57:42.2307895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2307963Z yl = self.stage3(xl) 2025-08-14T21:57:42.2308177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2308251Z x = module(x) 2025-08-14T21:57:42.2308451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2308518Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2308733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2308799Z x = self.act1(x) 2025-08-14T21:57:42.2308802Z 2025-08-14T21:57:42.2308919Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2309131Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2309201Z return mod(*inputs) 2025-08-14T21:57:42.2309411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2309485Z y = self.forward_features(x) 2025-08-14T21:57:42.2309719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2309796Z yl = self.stages(x) 2025-08-14T21:57:42.2309993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2310072Z yl = self.stage3(xl) 2025-08-14T21:57:42.2310275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2310340Z x = module(x) 2025-08-14T21:57:42.2310548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2310613Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2310838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2310918Z x = self.conv2(x) 2025-08-14T21:57:42.2310924Z 2025-08-14T21:57:42.2311039Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2311261Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2311329Z return mod(*inputs) 2025-08-14T21:57:42.2311530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2311617Z y = self.forward_features(x) 2025-08-14T21:57:42.2311857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2311925Z yl = self.stages(x) 2025-08-14T21:57:42.2312131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2312200Z yl = self.stage3(xl) 2025-08-14T21:57:42.2312412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2312477Z x = module(x) 2025-08-14T21:57:42.2312679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2312753Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2312959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2313045Z x = self.act2(x) 2025-08-14T21:57:42.2313049Z 2025-08-14T21:57:42.2313165Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2313405Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2313480Z return mod(*inputs) 2025-08-14T21:57:42.2313685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2313760Z y = self.forward_features(x) 2025-08-14T21:57:42.2314007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2314073Z yl = self.stages(x) 2025-08-14T21:57:42.2314289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2314367Z yl = self.stage3(xl) 2025-08-14T21:57:42.2314572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2314644Z x = module(x) 2025-08-14T21:57:42.2314848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2314914Z y = y + f(x[j]) 2025-08-14T21:57:42.2314918Z 2025-08-14T21:57:42.2315033Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2315249Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2315318Z return mod(*inputs) 2025-08-14T21:57:42.2315531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2315606Z y = self.forward_features(x) 2025-08-14T21:57:42.2315851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2315919Z yl = self.stages(x) 2025-08-14T21:57:42.2316122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2316201Z yl = self.stage3(xl) 2025-08-14T21:57:42.2316406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2316471Z x = module(x) 2025-08-14T21:57:42.2316680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2316745Z y = y + f(x[j]) 2025-08-14T21:57:42.2316749Z 2025-08-14T21:57:42.2316897Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2317114Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2317185Z return mod(*inputs) 2025-08-14T21:57:42.2317406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2317481Z y = self.forward_features(x) 2025-08-14T21:57:42.2317722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2317799Z yl = self.stages(x) 2025-08-14T21:57:42.2317998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 753, in stages 2025-08-14T21:57:42.2318199Z xl = [t(yl[-1]) if not isinstance(t, nn.Identity) else yl[i] for i, t in enumerate(self.transition2)] 2025-08-14T21:57:42.2318410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 753, in 2025-08-14T21:57:42.2318592Z xl = [t(yl[-1]) if not isinstance(t, nn.Identity) else yl[i] for i, t in enumerate(self.transition2)] 2025-08-14T21:57:42.2318596Z 2025-08-14T21:57:42.2318712Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2318924Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2318997Z return mod(*inputs) 2025-08-14T21:57:42.2319193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2319287Z y = self.forward_features(x) 2025-08-14T21:57:42.2319542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2319611Z yl = self.stages(x) 2025-08-14T21:57:42.2319803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 753, in stages 2025-08-14T21:57:42.2319990Z xl = [t(yl[-1]) if not isinstance(t, nn.Identity) else yl[i] for i, t in enumerate(self.transition2)] 2025-08-14T21:57:42.2320198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 753, in 2025-08-14T21:57:42.2320397Z xl = [t(yl[-1]) if not isinstance(t, nn.Identity) else yl[i] for i, t in enumerate(self.transition2)] 2025-08-14T21:57:42.2320402Z 2025-08-14T21:57:42.2320515Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2320722Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2320796Z return mod(*inputs) 2025-08-14T21:57:42.2320994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2321075Z y = self.forward_features(x) 2025-08-14T21:57:42.2321306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2321373Z yl = self.stages(x) 2025-08-14T21:57:42.2321577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2321646Z yl = self.stage3(xl) 2025-08-14T21:57:42.2321843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2321915Z x = module(x) 2025-08-14T21:57:42.2322112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2322185Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2322389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2322455Z x = self.conv1(x) 2025-08-14T21:57:42.2322459Z 2025-08-14T21:57:42.2322574Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2322780Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2322848Z return mod(*inputs) 2025-08-14T21:57:42.2323069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2323147Z y = self.forward_features(x) 2025-08-14T21:57:42.2323387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2323454Z yl = self.stages(x) 2025-08-14T21:57:42.2323649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2323724Z yl = self.stage3(xl) 2025-08-14T21:57:42.2323923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2323987Z x = module(x) 2025-08-14T21:57:42.2324194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2324259Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2324475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2324542Z x = self.act1(x) 2025-08-14T21:57:42.2324546Z 2025-08-14T21:57:42.2324654Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2324872Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2324940Z return mod(*inputs) 2025-08-14T21:57:42.2325137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2325217Z y = self.forward_features(x) 2025-08-14T21:57:42.2325468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2325565Z yl = self.stages(x) 2025-08-14T21:57:42.2325768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2325836Z yl = self.stage3(xl) 2025-08-14T21:57:42.2326040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2326102Z x = module(x) 2025-08-14T21:57:42.2326295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2326368Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2326740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2326831Z x = self.conv2(x) 2025-08-14T21:57:42.2326836Z 2025-08-14T21:57:42.2326946Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2327162Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2327242Z return mod(*inputs) 2025-08-14T21:57:42.2327444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2327516Z y = self.forward_features(x) 2025-08-14T21:57:42.2327767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2327837Z yl = self.stages(x) 2025-08-14T21:57:42.2328051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2328125Z yl = self.stage3(xl) 2025-08-14T21:57:42.2328340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2328412Z x = module(x) 2025-08-14T21:57:42.2328612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2328680Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2328895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2328962Z x = self.act2(x) 2025-08-14T21:57:42.2328965Z 2025-08-14T21:57:42.2329081Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2329344Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2329412Z return mod(*inputs) 2025-08-14T21:57:42.2329615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2329690Z y = self.forward_features(x) 2025-08-14T21:57:42.2329916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2329993Z yl = self.stages(x) 2025-08-14T21:57:42.2330186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2330262Z yl = self.stage3(xl) 2025-08-14T21:57:42.2330455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2330517Z x = module(x) 2025-08-14T21:57:42.2330718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2330785Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2330986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2331062Z x = self.conv1(x) 2025-08-14T21:57:42.2331065Z 2025-08-14T21:57:42.2331175Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2331391Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2331459Z return mod(*inputs) 2025-08-14T21:57:42.2331693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2331807Z y = self.forward_features(x) 2025-08-14T21:57:42.2332042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2332105Z yl = self.stages(x) 2025-08-14T21:57:42.2332300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2332368Z yl = self.stage3(xl) 2025-08-14T21:57:42.2332565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2332624Z x = module(x) 2025-08-14T21:57:42.2332841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2332914Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2333107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2333170Z x = self.act1(x) 2025-08-14T21:57:42.2333176Z 2025-08-14T21:57:42.2333286Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2333482Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2333554Z return mod(*inputs) 2025-08-14T21:57:42.2333740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2333812Z y = self.forward_features(x) 2025-08-14T21:57:42.2334034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2334097Z yl = self.stages(x) 2025-08-14T21:57:42.2334281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2334356Z yl = self.stage3(xl) 2025-08-14T21:57:42.2334539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2334608Z x = module(x) 2025-08-14T21:57:42.2334795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2334857Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2335053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2335116Z x = self.conv2(x) 2025-08-14T21:57:42.2335120Z 2025-08-14T21:57:42.2335245Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2335449Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2335513Z return mod(*inputs) 2025-08-14T21:57:42.2335707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2335776Z y = self.forward_features(x) 2025-08-14T21:57:42.2335989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2336062Z yl = self.stages(x) 2025-08-14T21:57:42.2336250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2336319Z yl = self.stage3(xl) 2025-08-14T21:57:42.2336524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2336586Z x = module(x) 2025-08-14T21:57:42.2336789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2336854Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2337056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2337131Z x = self.act2(x) 2025-08-14T21:57:42.2337134Z 2025-08-14T21:57:42.2337241Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2337446Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2337544Z return mod(*inputs) 2025-08-14T21:57:42.2337759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2337839Z y = self.forward_features(x) 2025-08-14T21:57:42.2338076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2338142Z yl = self.stages(x) 2025-08-14T21:57:42.2338353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2338417Z yl = self.stage3(xl) 2025-08-14T21:57:42.2338627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2338699Z x = module(x) 2025-08-14T21:57:42.2338886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2338958Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2339149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2339214Z x = self.conv1(x) 2025-08-14T21:57:42.2339217Z 2025-08-14T21:57:42.2339325Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2339542Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2339608Z return mod(*inputs) 2025-08-14T21:57:42.2339813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2339886Z y = self.forward_features(x) 2025-08-14T21:57:42.2340120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2340186Z yl = self.stages(x) 2025-08-14T21:57:42.2340379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2340468Z yl = self.stage3(xl) 2025-08-14T21:57:42.2340665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2340727Z x = module(x) 2025-08-14T21:57:42.2340931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2340995Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2341228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2341294Z x = self.act1(x) 2025-08-14T21:57:42.2341298Z 2025-08-14T21:57:42.2341407Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2341624Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2341690Z return mod(*inputs) 2025-08-14T21:57:42.2341887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2341969Z y = self.forward_features(x) 2025-08-14T21:57:42.2342199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2342275Z yl = self.stages(x) 2025-08-14T21:57:42.2342470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2342539Z yl = self.stage3(xl) 2025-08-14T21:57:42.2342748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2342812Z x = module(x) 2025-08-14T21:57:42.2343014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2343091Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2343302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2343379Z x = self.conv2(x) 2025-08-14T21:57:42.2343382Z 2025-08-14T21:57:42.2343516Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2343749Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2343825Z return mod(*inputs) 2025-08-14T21:57:42.2344025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2344100Z y = self.forward_features(x) 2025-08-14T21:57:42.2344339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2344406Z yl = self.stages(x) 2025-08-14T21:57:42.2344630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2344701Z yl = self.stage3(xl) 2025-08-14T21:57:42.2344904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2344974Z x = module(x) 2025-08-14T21:57:42.2345178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2345247Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2345526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2345599Z x = self.act2(x) 2025-08-14T21:57:42.2345603Z 2025-08-14T21:57:42.2345726Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2345950Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2346021Z return mod(*inputs) 2025-08-14T21:57:42.2346233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2346309Z y = self.forward_features(x) 2025-08-14T21:57:42.2346548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2346625Z yl = self.stages(x) 2025-08-14T21:57:42.2346818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2346899Z yl = self.stage3(xl) 2025-08-14T21:57:42.2347098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2347158Z x = module(x) 2025-08-14T21:57:42.2347352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2347439Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2347640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2347717Z x = self.conv1(x) 2025-08-14T21:57:42.2347722Z 2025-08-14T21:57:42.2347824Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2348030Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2348092Z return mod(*inputs) 2025-08-14T21:57:42.2348278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2348357Z y = self.forward_features(x) 2025-08-14T21:57:42.2348580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2348648Z yl = self.stages(x) 2025-08-14T21:57:42.2348849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2348917Z yl = self.stage3(xl) 2025-08-14T21:57:42.2349121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2349185Z x = module(x) 2025-08-14T21:57:42.2349382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2349457Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2349665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2349749Z x = self.act1(x) 2025-08-14T21:57:42.2349781Z 2025-08-14T21:57:42.2349890Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2350097Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2350172Z return mod(*inputs) 2025-08-14T21:57:42.2350366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2350441Z y = self.forward_features(x) 2025-08-14T21:57:42.2350678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2350787Z yl = self.stages(x) 2025-08-14T21:57:42.2350987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2351061Z yl = self.stage3(xl) 2025-08-14T21:57:42.2351249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2351319Z x = module(x) 2025-08-14T21:57:42.2351511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2351576Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2351783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2351849Z x = self.conv2(x) 2025-08-14T21:57:42.2351853Z 2025-08-14T21:57:42.2351965Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2352178Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2352246Z return mod(*inputs) 2025-08-14T21:57:42.2352450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2352526Z y = self.forward_features(x) 2025-08-14T21:57:42.2352757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2352834Z yl = self.stages(x) 2025-08-14T21:57:42.2353027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2353094Z yl = self.stage3(xl) 2025-08-14T21:57:42.2353294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2353357Z x = module(x) 2025-08-14T21:57:42.2353580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.2353645Z y = f(x[j]) 2025-08-14T21:57:42.2353649Z 2025-08-14T21:57:42.2353758Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2353974Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2354038Z return mod(*inputs) 2025-08-14T21:57:42.2354234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2354317Z y = self.forward_features(x) 2025-08-14T21:57:42.2354547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2354619Z yl = self.stages(x) 2025-08-14T21:57:42.2354812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2354879Z yl = self.stage3(xl) 2025-08-14T21:57:42.2355084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2355147Z x = module(x) 2025-08-14T21:57:42.2355343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.2355414Z y = f(x[j]) 2025-08-14T21:57:42.2355419Z 2025-08-14T21:57:42.2355526Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2355768Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2355852Z return mod(*inputs) 2025-08-14T21:57:42.2356050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2356132Z y = self.forward_features(x) 2025-08-14T21:57:42.2356360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2356434Z yl = self.stages(x) 2025-08-14T21:57:42.2356629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2356698Z yl = self.stage3(xl) 2025-08-14T21:57:42.2356929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2356994Z x = module(x) 2025-08-14T21:57:42.2357187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.2357260Z y = f(x[j]) 2025-08-14T21:57:42.2357264Z 2025-08-14T21:57:42.2357374Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2357591Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2357663Z return mod(*inputs) 2025-08-14T21:57:42.2357857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2357940Z y = self.forward_features(x) 2025-08-14T21:57:42.2358165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2358232Z yl = self.stages(x) 2025-08-14T21:57:42.2358435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2358506Z yl = self.stage3(xl) 2025-08-14T21:57:42.2358709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2358776Z x = module(x) 2025-08-14T21:57:42.2358973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2359046Z y = y + f(x[j]) 2025-08-14T21:57:42.2359049Z 2025-08-14T21:57:42.2359160Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2359366Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2359462Z return mod(*inputs) 2025-08-14T21:57:42.2359661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2359740Z y = self.forward_features(x) 2025-08-14T21:57:42.2359969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2360036Z yl = self.stages(x) 2025-08-14T21:57:42.2360245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2360315Z yl = self.stage3(xl) 2025-08-14T21:57:42.2360512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2360582Z x = module(x) 2025-08-14T21:57:42.2360775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2360844Z y = y + f(x[j]) 2025-08-14T21:57:42.2360848Z 2025-08-14T21:57:42.2360955Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2361162Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2361244Z return mod(*inputs) 2025-08-14T21:57:42.2361428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2361496Z y = self.forward_features(x) 2025-08-14T21:57:42.2361718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2361826Z yl = self.stages(x) 2025-08-14T21:57:42.2362017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2362082Z yl = self.stage3(xl) 2025-08-14T21:57:42.2362268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2362333Z x = module(x) 2025-08-14T21:57:42.2362520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2362578Z y = y + f(x[j]) 2025-08-14T21:57:42.2362582Z 2025-08-14T21:57:42.2362708Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2362907Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2362979Z return mod(*inputs) 2025-08-14T21:57:42.2363164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2363237Z y = self.forward_features(x) 2025-08-14T21:57:42.2363459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2363522Z yl = self.stages(x) 2025-08-14T21:57:42.2363704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2363776Z yl = self.stage3(xl) 2025-08-14T21:57:42.2363962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2364028Z x = module(x) 2025-08-14T21:57:42.2364212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:57:42.2364289Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:57:42.2364293Z 2025-08-14T21:57:42.2364401Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2364596Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2364663Z return mod(*inputs) 2025-08-14T21:57:42.2364854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2364921Z y = self.forward_features(x) 2025-08-14T21:57:42.2365142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2365225Z yl = self.stages(x) 2025-08-14T21:57:42.2365410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2365481Z yl = self.stage3(xl) 2025-08-14T21:57:42.2365667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2365727Z x = module(x) 2025-08-14T21:57:42.2365919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2365981Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2366176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2366239Z x = self.conv1(x) 2025-08-14T21:57:42.2366243Z 2025-08-14T21:57:42.2366343Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2366546Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2366610Z return mod(*inputs) 2025-08-14T21:57:42.2366804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2366885Z y = self.forward_features(x) 2025-08-14T21:57:42.2367114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2367186Z yl = self.stages(x) 2025-08-14T21:57:42.2367381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2367472Z yl = self.stage3(xl) 2025-08-14T21:57:42.2367694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2367756Z x = module(x) 2025-08-14T21:57:42.2367953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2368028Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2368232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2368304Z x = self.act1(x) 2025-08-14T21:57:42.2368308Z 2025-08-14T21:57:42.2368415Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2368652Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2368726Z return mod(*inputs) 2025-08-14T21:57:42.2368915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2368987Z y = self.forward_features(x) 2025-08-14T21:57:42.2369218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2369282Z yl = self.stages(x) 2025-08-14T21:57:42.2369474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2369539Z yl = self.stage3(xl) 2025-08-14T21:57:42.2369729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2369796Z x = module(x) 2025-08-14T21:57:42.2369987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2370049Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2370250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2370314Z x = self.conv2(x) 2025-08-14T21:57:42.2370319Z 2025-08-14T21:57:42.2370428Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2370628Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2370692Z return mod(*inputs) 2025-08-14T21:57:42.2370890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2370958Z y = self.forward_features(x) 2025-08-14T21:57:42.2371192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2371265Z yl = self.stages(x) 2025-08-14T21:57:42.2371454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2371523Z yl = self.stage3(xl) 2025-08-14T21:57:42.2371710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2371771Z x = module(x) 2025-08-14T21:57:42.2371964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2372027Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2372219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2372288Z x = self.act2(x) 2025-08-14T21:57:42.2372291Z 2025-08-14T21:57:42.2372392Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2372597Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2372661Z return mod(*inputs) 2025-08-14T21:57:42.2372847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2372925Z y = self.forward_features(x) 2025-08-14T21:57:42.2373141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2373223Z yl = self.stages(x) 2025-08-14T21:57:42.2373415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2373498Z yl = self.stage3(xl) 2025-08-14T21:57:42.2373695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2373754Z x = module(x) 2025-08-14T21:57:42.2373946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2374019Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2374220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2374305Z x = self.conv1(x) 2025-08-14T21:57:42.2374309Z 2025-08-14T21:57:42.2374427Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2374634Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2374710Z return mod(*inputs) 2025-08-14T21:57:42.2374906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2374981Z y = self.forward_features(x) 2025-08-14T21:57:42.2375222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2375285Z yl = self.stages(x) 2025-08-14T21:57:42.2375471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2375544Z yl = self.stage3(xl) 2025-08-14T21:57:42.2375729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2375800Z x = module(x) 2025-08-14T21:57:42.2375996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2376064Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2376271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2376338Z x = self.act1(x) 2025-08-14T21:57:42.2376341Z 2025-08-14T21:57:42.2376449Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2376662Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2376729Z return mod(*inputs) 2025-08-14T21:57:42.2376949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2377028Z y = self.forward_features(x) 2025-08-14T21:57:42.2377256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2377332Z yl = self.stages(x) 2025-08-14T21:57:42.2377526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2377595Z yl = self.stage3(xl) 2025-08-14T21:57:42.2377805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2377866Z x = module(x) 2025-08-14T21:57:42.2378057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2378118Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2378307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2378381Z x = self.conv2(x) 2025-08-14T21:57:42.2378386Z 2025-08-14T21:57:42.2378494Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2378703Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2378777Z return mod(*inputs) 2025-08-14T21:57:42.2378972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2379052Z y = self.forward_features(x) 2025-08-14T21:57:42.2379300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2379387Z yl = self.stages(x) 2025-08-14T21:57:42.2379593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2379660Z yl = self.stage3(xl) 2025-08-14T21:57:42.2379854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2379925Z x = module(x) 2025-08-14T21:57:42.2380121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2380193Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2381049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2381137Z x = self.act2(x) 2025-08-14T21:57:42.2381141Z 2025-08-14T21:57:42.2381256Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2381469Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2381537Z return mod(*inputs) 2025-08-14T21:57:42.2381738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2381811Z y = self.forward_features(x) 2025-08-14T21:57:42.2382057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2382127Z yl = self.stages(x) 2025-08-14T21:57:42.2382321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2382396Z yl = self.stage3(xl) 2025-08-14T21:57:42.2382593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2382655Z x = module(x) 2025-08-14T21:57:42.2382856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2382923Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2383138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2383206Z x = self.conv1(x) 2025-08-14T21:57:42.2383209Z 2025-08-14T21:57:42.2383319Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2383549Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2383637Z return mod(*inputs) 2025-08-14T21:57:42.2383835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2383917Z y = self.forward_features(x) 2025-08-14T21:57:42.2384159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2384232Z yl = self.stages(x) 2025-08-14T21:57:42.2384426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2384498Z yl = self.stage3(xl) 2025-08-14T21:57:42.2384702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2384764Z x = module(x) 2025-08-14T21:57:42.2384961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2385033Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2385380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2385464Z x = self.act1(x) 2025-08-14T21:57:42.2385468Z 2025-08-14T21:57:42.2385581Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2385796Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2385873Z return mod(*inputs) 2025-08-14T21:57:42.2386073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2386204Z y = self.forward_features(x) 2025-08-14T21:57:42.2386448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2386516Z yl = self.stages(x) 2025-08-14T21:57:42.2386722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2386789Z yl = self.stage3(xl) 2025-08-14T21:57:42.2386993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2387064Z x = module(x) 2025-08-14T21:57:42.2387281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2387349Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2387581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2387651Z x = self.conv2(x) 2025-08-14T21:57:42.2387654Z 2025-08-14T21:57:42.2387772Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2387978Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2388045Z return mod(*inputs) 2025-08-14T21:57:42.2388248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2388322Z y = self.forward_features(x) 2025-08-14T21:57:42.2388550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2388626Z yl = self.stages(x) 2025-08-14T21:57:42.2388823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2388900Z yl = self.stage3(xl) 2025-08-14T21:57:42.2389102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2389168Z x = module(x) 2025-08-14T21:57:42.2389370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2389436Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2389638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2389708Z x = self.act2(x) 2025-08-14T21:57:42.2389711Z 2025-08-14T21:57:42.2389837Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2390050Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2390118Z return mod(*inputs) 2025-08-14T21:57:42.2390320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2390399Z y = self.forward_features(x) 2025-08-14T21:57:42.2390625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2390693Z yl = self.stages(x) 2025-08-14T21:57:42.2390894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2390963Z yl = self.stage3(xl) 2025-08-14T21:57:42.2391162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2391222Z x = module(x) 2025-08-14T21:57:42.2391417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2391488Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2391688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2391755Z x = self.conv1(x) 2025-08-14T21:57:42.2391765Z 2025-08-14T21:57:42.2391873Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2392077Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2392168Z return mod(*inputs) 2025-08-14T21:57:42.2392384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2392455Z y = self.forward_features(x) 2025-08-14T21:57:42.2392694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2392759Z yl = self.stages(x) 2025-08-14T21:57:42.2392957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2393025Z yl = self.stage3(xl) 2025-08-14T21:57:42.2393221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2393286Z x = module(x) 2025-08-14T21:57:42.2393464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2393524Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2393720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2393779Z x = self.act1(x) 2025-08-14T21:57:42.2393783Z 2025-08-14T21:57:42.2393882Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2394080Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2394143Z return mod(*inputs) 2025-08-14T21:57:42.2394334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2394402Z y = self.forward_features(x) 2025-08-14T21:57:42.2394612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2394683Z yl = self.stages(x) 2025-08-14T21:57:42.2394861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2394927Z yl = self.stage3(xl) 2025-08-14T21:57:42.2395118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2395178Z x = module(x) 2025-08-14T21:57:42.2395363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2395424Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2395611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2395695Z x = self.conv2(x) 2025-08-14T21:57:42.2395700Z 2025-08-14T21:57:42.2395800Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2395994Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2396063Z return mod(*inputs) 2025-08-14T21:57:42.2396244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2396321Z y = self.forward_features(x) 2025-08-14T21:57:42.2396539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2396602Z yl = self.stages(x) 2025-08-14T21:57:42.2396792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2396857Z yl = self.stage3(xl) 2025-08-14T21:57:42.2397042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2397108Z x = module(x) 2025-08-14T21:57:42.2397291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2397361Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2397551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2397611Z x = self.act2(x) 2025-08-14T21:57:42.2397615Z 2025-08-14T21:57:42.2397721Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2397942Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2398026Z return mod(*inputs) 2025-08-14T21:57:42.2398219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2398288Z y = self.forward_features(x) 2025-08-14T21:57:42.2398509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2398572Z yl = self.stages(x) 2025-08-14T21:57:42.2398755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2398845Z yl = self.stage3(xl) 2025-08-14T21:57:42.2399034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2399092Z x = module(x) 2025-08-14T21:57:42.2399290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.2399353Z y = f(x[j]) 2025-08-14T21:57:42.2399356Z 2025-08-14T21:57:42.2399462Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2399658Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2399721Z return mod(*inputs) 2025-08-14T21:57:42.2399913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2399981Z y = self.forward_features(x) 2025-08-14T21:57:42.2400205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2400269Z yl = self.stages(x) 2025-08-14T21:57:42.2400455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2400526Z yl = self.stage3(xl) 2025-08-14T21:57:42.2400709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2400770Z x = module(x) 2025-08-14T21:57:42.2400962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2401022Z y = y + f(x[j]) 2025-08-14T21:57:42.2401025Z 2025-08-14T21:57:42.2401132Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2401343Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2401410Z return mod(*inputs) 2025-08-14T21:57:42.2401601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2401674Z y = self.forward_features(x) 2025-08-14T21:57:42.2401889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2401960Z yl = self.stages(x) 2025-08-14T21:57:42.2402148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2402220Z yl = self.stage3(xl) 2025-08-14T21:57:42.2402397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2402454Z x = module(x) 2025-08-14T21:57:42.2402641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2402701Z y = y + f(x[j]) 2025-08-14T21:57:42.2402706Z 2025-08-14T21:57:42.2402806Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2403007Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2403073Z return mod(*inputs) 2025-08-14T21:57:42.2403263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2403332Z y = self.forward_features(x) 2025-08-14T21:57:42.2403566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2403651Z yl = self.stages(x) 2025-08-14T21:57:42.2403842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2403903Z yl = self.stage3(xl) 2025-08-14T21:57:42.2404088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2404147Z x = module(x) 2025-08-14T21:57:42.2404331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:57:42.2404406Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:57:42.2404428Z 2025-08-14T21:57:42.2404528Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2404719Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2404781Z return mod(*inputs) 2025-08-14T21:57:42.2404963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2405041Z y = self.forward_features(x) 2025-08-14T21:57:42.2405251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2405320Z yl = self.stages(x) 2025-08-14T21:57:42.2405501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2405566Z yl = self.stage3(xl) 2025-08-14T21:57:42.2405756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2405814Z x = module(x) 2025-08-14T21:57:42.2405998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2406069Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2406257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2406328Z x = self.conv1(x) 2025-08-14T21:57:42.2406333Z 2025-08-14T21:57:42.2406435Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2406628Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2406697Z return mod(*inputs) 2025-08-14T21:57:42.2406914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2406990Z y = self.forward_features(x) 2025-08-14T21:57:42.2407224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2407292Z yl = self.stages(x) 2025-08-14T21:57:42.2407491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2407558Z yl = self.stage3(xl) 2025-08-14T21:57:42.2407750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2407821Z x = module(x) 2025-08-14T21:57:42.2408016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2408081Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2408293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2408356Z x = self.act1(x) 2025-08-14T21:57:42.2408360Z 2025-08-14T21:57:42.2408477Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2408688Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2408758Z return mod(*inputs) 2025-08-14T21:57:42.2408959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2409032Z y = self.forward_features(x) 2025-08-14T21:57:42.2409259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2409371Z yl = self.stages(x) 2025-08-14T21:57:42.2409570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2409642Z yl = self.stage3(xl) 2025-08-14T21:57:42.2409828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2409887Z x = module(x) 2025-08-14T21:57:42.2410083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2410146Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2410356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2410430Z x = self.conv2(x) 2025-08-14T21:57:42.2410433Z 2025-08-14T21:57:42.2410539Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2410762Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2410831Z return mod(*inputs) 2025-08-14T21:57:42.2411028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2411108Z y = self.forward_features(x) 2025-08-14T21:57:42.2411338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2411406Z yl = self.stages(x) 2025-08-14T21:57:42.2411606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2411673Z yl = self.stage3(xl) 2025-08-14T21:57:42.2411880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2411941Z x = module(x) 2025-08-14T21:57:42.2412138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2412211Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2412415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2412479Z x = self.act2(x) 2025-08-14T21:57:42.2412483Z 2025-08-14T21:57:42.2412598Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2412805Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2412900Z return mod(*inputs) 2025-08-14T21:57:42.2413097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2413170Z y = self.forward_features(x) 2025-08-14T21:57:42.2413404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2413469Z yl = self.stages(x) 2025-08-14T21:57:42.2413664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2413739Z yl = self.stage3(xl) 2025-08-14T21:57:42.2413935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2414005Z x = module(x) 2025-08-14T21:57:42.2414200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2414264Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2414476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2414542Z x = self.conv1(x) 2025-08-14T21:57:42.2414546Z 2025-08-14T21:57:42.2414653Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2414868Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2414936Z return mod(*inputs) 2025-08-14T21:57:42.2415137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2415232Z y = self.forward_features(x) 2025-08-14T21:57:42.2415478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2415554Z yl = self.stages(x) 2025-08-14T21:57:42.2415753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2415821Z yl = self.stage3(xl) 2025-08-14T21:57:42.2416029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2416090Z x = module(x) 2025-08-14T21:57:42.2416315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2416385Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2416585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2416654Z x = self.act1(x) 2025-08-14T21:57:42.2416659Z 2025-08-14T21:57:42.2416766Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2416977Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2417051Z return mod(*inputs) 2025-08-14T21:57:42.2417247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2417327Z y = self.forward_features(x) 2025-08-14T21:57:42.2417557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2417624Z yl = self.stages(x) 2025-08-14T21:57:42.2417826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2417895Z yl = self.stage3(xl) 2025-08-14T21:57:42.2418090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2418162Z x = module(x) 2025-08-14T21:57:42.2418356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2418428Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2418629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2418695Z x = self.conv2(x) 2025-08-14T21:57:42.2418698Z 2025-08-14T21:57:42.2418815Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2419041Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2419109Z return mod(*inputs) 2025-08-14T21:57:42.2419314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2419388Z y = self.forward_features(x) 2025-08-14T21:57:42.2419630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2419699Z yl = self.stages(x) 2025-08-14T21:57:42.2419896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2419975Z yl = self.stage3(xl) 2025-08-14T21:57:42.2420172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2420233Z x = module(x) 2025-08-14T21:57:42.2420440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2420507Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2420720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2420785Z x = self.act2(x) 2025-08-14T21:57:42.2420789Z 2025-08-14T21:57:42.2420897Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2421112Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2421196Z return mod(*inputs) 2025-08-14T21:57:42.2421393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2421498Z y = self.forward_features(x) 2025-08-14T21:57:42.2421725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2421800Z yl = self.stages(x) 2025-08-14T21:57:42.2421997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2422065Z yl = self.stage3(xl) 2025-08-14T21:57:42.2422267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2422348Z x = module(x) 2025-08-14T21:57:42.2422545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2422620Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2422825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2422901Z x = self.conv1(x) 2025-08-14T21:57:42.2422904Z 2025-08-14T21:57:42.2423011Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2423215Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2423289Z return mod(*inputs) 2025-08-14T21:57:42.2423488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2423561Z y = self.forward_features(x) 2025-08-14T21:57:42.2423797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2423862Z yl = self.stages(x) 2025-08-14T21:57:42.2424062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2424129Z yl = self.stage3(xl) 2025-08-14T21:57:42.2424328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2424399Z x = module(x) 2025-08-14T21:57:42.2424597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2424661Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2424873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2424990Z x = self.act1(x) 2025-08-14T21:57:42.2424994Z 2025-08-14T21:57:42.2425110Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2425406Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2425485Z return mod(*inputs) 2025-08-14T21:57:42.2425699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2425775Z y = self.forward_features(x) 2025-08-14T21:57:42.2426012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2426093Z yl = self.stages(x) 2025-08-14T21:57:42.2426293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2426369Z yl = self.stage3(xl) 2025-08-14T21:57:42.2426687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2426763Z x = module(x) 2025-08-14T21:57:42.2426971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2427040Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2427248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2427324Z x = self.conv2(x) 2025-08-14T21:57:42.2427328Z 2025-08-14T21:57:42.2427437Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2427703Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2427798Z return mod(*inputs) 2025-08-14T21:57:42.2427992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2428071Z y = self.forward_features(x) 2025-08-14T21:57:42.2428298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2428367Z yl = self.stages(x) 2025-08-14T21:57:42.2428567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2428634Z yl = self.stage3(xl) 2025-08-14T21:57:42.2428870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2428935Z x = module(x) 2025-08-14T21:57:42.2429129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2429206Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2429409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2429472Z x = self.act2(x) 2025-08-14T21:57:42.2429476Z 2025-08-14T21:57:42.2429589Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2429799Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2429870Z return mod(*inputs) 2025-08-14T21:57:42.2430053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2430124Z y = self.forward_features(x) 2025-08-14T21:57:42.2430345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2430407Z yl = self.stages(x) 2025-08-14T21:57:42.2430591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2430666Z yl = self.stage3(xl) 2025-08-14T21:57:42.2430851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2430917Z x = module(x) 2025-08-14T21:57:42.2431097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2431157Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2431373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2431438Z x = self.conv1(x) 2025-08-14T21:57:42.2431441Z 2025-08-14T21:57:42.2431544Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2431763Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2431828Z return mod(*inputs) 2025-08-14T21:57:42.2432038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2432116Z y = self.forward_features(x) 2025-08-14T21:57:42.2432350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2432425Z yl = self.stages(x) 2025-08-14T21:57:42.2432621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2432691Z yl = self.stage3(xl) 2025-08-14T21:57:42.2432898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2432959Z x = module(x) 2025-08-14T21:57:42.2433165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2433240Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2433433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2433522Z x = self.act1(x) 2025-08-14T21:57:42.2433526Z 2025-08-14T21:57:42.2433644Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2433840Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2433912Z return mod(*inputs) 2025-08-14T21:57:42.2434095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2434171Z y = self.forward_features(x) 2025-08-14T21:57:42.2434390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2434456Z yl = self.stages(x) 2025-08-14T21:57:42.2434677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2434749Z yl = self.stage3(xl) 2025-08-14T21:57:42.2434955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2435025Z x = module(x) 2025-08-14T21:57:42.2435223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2435297Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2435498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2435563Z x = self.conv2(x) 2025-08-14T21:57:42.2435567Z 2025-08-14T21:57:42.2435686Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2435895Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2435962Z return mod(*inputs) 2025-08-14T21:57:42.2436167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2436241Z y = self.forward_features(x) 2025-08-14T21:57:42.2436477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2436548Z yl = self.stages(x) 2025-08-14T21:57:42.2436743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2436822Z yl = self.stage3(xl) 2025-08-14T21:57:42.2437018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2437080Z x = module(x) 2025-08-14T21:57:42.2437304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2437373Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2437590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2437654Z x = self.act2(x) 2025-08-14T21:57:42.2437658Z 2025-08-14T21:57:42.2437766Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2437984Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2438051Z return mod(*inputs) 2025-08-14T21:57:42.2438252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2438332Z y = self.forward_features(x) 2025-08-14T21:57:42.2438560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2438632Z yl = self.stages(x) 2025-08-14T21:57:42.2438830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2438898Z yl = self.stage3(xl) 2025-08-14T21:57:42.2439104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2439163Z x = module(x) 2025-08-14T21:57:42.2439349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2439417Z y = y + f(x[j]) 2025-08-14T21:57:42.2439439Z 2025-08-14T21:57:42.2439542Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2439761Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2439824Z return mod(*inputs) 2025-08-14T21:57:42.2440007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2440082Z y = self.forward_features(x) 2025-08-14T21:57:42.2440295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2440359Z yl = self.stages(x) 2025-08-14T21:57:42.2440565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2440634Z yl = self.stage3(xl) 2025-08-14T21:57:42.2440827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2440887Z x = module(x) 2025-08-14T21:57:42.2441074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2441141Z y = y + f(x[j]) 2025-08-14T21:57:42.2441145Z 2025-08-14T21:57:42.2441245Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2441446Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2441509Z return mod(*inputs) 2025-08-14T21:57:42.2441695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2441769Z y = self.forward_features(x) 2025-08-14T21:57:42.2441990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2442051Z yl = self.stages(x) 2025-08-14T21:57:42.2442241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2442306Z yl = self.stage3(xl) 2025-08-14T21:57:42.2442488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2442555Z x = module(x) 2025-08-14T21:57:42.2442739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2442806Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2443018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2443082Z x = self.conv1(x) 2025-08-14T21:57:42.2443086Z 2025-08-14T21:57:42.2443195Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2443391Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2443460Z return mod(*inputs) 2025-08-14T21:57:42.2443644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2443714Z y = self.forward_features(x) 2025-08-14T21:57:42.2443933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2443997Z yl = self.stages(x) 2025-08-14T21:57:42.2444178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2444248Z yl = self.stage3(xl) 2025-08-14T21:57:42.2444434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2444491Z x = module(x) 2025-08-14T21:57:42.2444681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2444745Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2444941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2445003Z x = self.act1(x) 2025-08-14T21:57:42.2445006Z 2025-08-14T21:57:42.2445129Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2445330Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2445443Z return mod(*inputs) 2025-08-14T21:57:42.2445641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2445711Z y = self.forward_features(x) 2025-08-14T21:57:42.2445931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2446001Z yl = self.stages(x) 2025-08-14T21:57:42.2446192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2446277Z yl = self.stage3(xl) 2025-08-14T21:57:42.2446482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2446546Z x = module(x) 2025-08-14T21:57:42.2446745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2446820Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2447023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2447097Z x = self.conv2(x) 2025-08-14T21:57:42.2447100Z 2025-08-14T21:57:42.2447207Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2447416Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2447490Z return mod(*inputs) 2025-08-14T21:57:42.2447686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2447768Z y = self.forward_features(x) 2025-08-14T21:57:42.2447997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2448063Z yl = self.stages(x) 2025-08-14T21:57:42.2448267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2448338Z yl = self.stage3(xl) 2025-08-14T21:57:42.2448534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2448604Z x = module(x) 2025-08-14T21:57:42.2448802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2448881Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2449077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2449139Z x = self.act2(x) 2025-08-14T21:57:42.2449142Z 2025-08-14T21:57:42.2449255Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2449460Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2449526Z return mod(*inputs) 2025-08-14T21:57:42.2449730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2449803Z y = self.forward_features(x) 2025-08-14T21:57:42.2450032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2450098Z yl = self.stages(x) 2025-08-14T21:57:42.2450288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2450364Z yl = self.stage3(xl) 2025-08-14T21:57:42.2450557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2450618Z x = module(x) 2025-08-14T21:57:42.2450823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2450890Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2451089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2451181Z x = self.conv1(x) 2025-08-14T21:57:42.2451210Z 2025-08-14T21:57:42.2451318Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2451533Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2451604Z return mod(*inputs) 2025-08-14T21:57:42.2451798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2451884Z y = self.forward_features(x) 2025-08-14T21:57:42.2452108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2452180Z yl = self.stages(x) 2025-08-14T21:57:42.2452391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2452462Z yl = self.stage3(xl) 2025-08-14T21:57:42.2452666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2452732Z x = module(x) 2025-08-14T21:57:42.2452929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2453002Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2453204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2453268Z x = self.act1(x) 2025-08-14T21:57:42.2453279Z 2025-08-14T21:57:42.2453388Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2453597Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2453669Z return mod(*inputs) 2025-08-14T21:57:42.2453868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2453942Z y = self.forward_features(x) 2025-08-14T21:57:42.2454177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2454246Z yl = self.stages(x) 2025-08-14T21:57:42.2454445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2454512Z yl = self.stage3(xl) 2025-08-14T21:57:42.2454706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2454774Z x = module(x) 2025-08-14T21:57:42.2454989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2455057Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2455267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2455332Z x = self.conv2(x) 2025-08-14T21:57:42.2455335Z 2025-08-14T21:57:42.2455447Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2455652Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2455722Z return mod(*inputs) 2025-08-14T21:57:42.2455925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2455997Z y = self.forward_features(x) 2025-08-14T21:57:42.2456221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2456295Z yl = self.stages(x) 2025-08-14T21:57:42.2456489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2456566Z yl = self.stage3(xl) 2025-08-14T21:57:42.2456759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2456821Z x = module(x) 2025-08-14T21:57:42.2457022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2457109Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2457309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2457399Z x = self.act2(x) 2025-08-14T21:57:42.2457403Z 2025-08-14T21:57:42.2457510Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2457728Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2457796Z return mod(*inputs) 2025-08-14T21:57:42.2457995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2458075Z y = self.forward_features(x) 2025-08-14T21:57:42.2458324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2458402Z yl = self.stages(x) 2025-08-14T21:57:42.2458592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2458658Z yl = self.stage3(xl) 2025-08-14T21:57:42.2458852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2458911Z x = module(x) 2025-08-14T21:57:42.2459095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2459164Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2459355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2459419Z x = self.conv1(x) 2025-08-14T21:57:42.2459422Z 2025-08-14T21:57:42.2459532Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2459729Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2459801Z return mod(*inputs) 2025-08-14T21:57:42.2459989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2460059Z y = self.forward_features(x) 2025-08-14T21:57:42.2460285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2460348Z yl = self.stages(x) 2025-08-14T21:57:42.2460530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2460601Z yl = self.stage3(xl) 2025-08-14T21:57:42.2460801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2460870Z x = module(x) 2025-08-14T21:57:42.2461057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2461119Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2461316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2461379Z x = self.act1(x) 2025-08-14T21:57:42.2461385Z 2025-08-14T21:57:42.2461487Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2461701Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2461764Z return mod(*inputs) 2025-08-14T21:57:42.2461958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2462027Z y = self.forward_features(x) 2025-08-14T21:57:42.2462242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2462313Z yl = self.stages(x) 2025-08-14T21:57:42.2462497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2462561Z yl = self.stage3(xl) 2025-08-14T21:57:42.2462752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2462811Z x = module(x) 2025-08-14T21:57:42.2463028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2463110Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2463303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2463374Z x = self.conv2(x) 2025-08-14T21:57:42.2463377Z 2025-08-14T21:57:42.2463481Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2463690Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2463765Z return mod(*inputs) 2025-08-14T21:57:42.2463978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2464065Z y = self.forward_features(x) 2025-08-14T21:57:42.2464290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2464358Z yl = self.stages(x) 2025-08-14T21:57:42.2464558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2464628Z yl = self.stage3(xl) 2025-08-14T21:57:42.2464821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2464891Z x = module(x) 2025-08-14T21:57:42.2465087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2465160Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2465462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2465533Z x = self.act2(x) 2025-08-14T21:57:42.2465540Z 2025-08-14T21:57:42.2465656Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2465862Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2465932Z return mod(*inputs) 2025-08-14T21:57:42.2466141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2466219Z y = self.forward_features(x) 2025-08-14T21:57:42.2466461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2466531Z yl = self.stages(x) 2025-08-14T21:57:42.2466781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2466858Z yl = self.stage3(xl) 2025-08-14T21:57:42.2467057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2467122Z x = module(x) 2025-08-14T21:57:42.2467325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2467392Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2467606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2467674Z x = self.conv1(x) 2025-08-14T21:57:42.2467677Z 2025-08-14T21:57:42.2467783Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2468002Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2468068Z return mod(*inputs) 2025-08-14T21:57:42.2468265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2468348Z y = self.forward_features(x) 2025-08-14T21:57:42.2468574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2468646Z yl = self.stages(x) 2025-08-14T21:57:42.2468837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2468905Z yl = self.stage3(xl) 2025-08-14T21:57:42.2469108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2469208Z x = module(x) 2025-08-14T21:57:42.2469409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2469479Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2469667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2469733Z x = self.act1(x) 2025-08-14T21:57:42.2469737Z 2025-08-14T21:57:42.2469840Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2470036Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2470123Z return mod(*inputs) 2025-08-14T21:57:42.2470310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2470380Z y = self.forward_features(x) 2025-08-14T21:57:42.2470605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2470668Z yl = self.stages(x) 2025-08-14T21:57:42.2470858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2470921Z yl = self.stage3(xl) 2025-08-14T21:57:42.2471104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2471173Z x = module(x) 2025-08-14T21:57:42.2471355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2471417Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2471615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2471678Z x = self.conv2(x) 2025-08-14T21:57:42.2471682Z 2025-08-14T21:57:42.2471795Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2472002Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2472071Z return mod(*inputs) 2025-08-14T21:57:42.2472275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2472347Z y = self.forward_features(x) 2025-08-14T21:57:42.2472577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2472666Z yl = self.stages(x) 2025-08-14T21:57:42.2472854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2472928Z yl = self.stage3(xl) 2025-08-14T21:57:42.2473113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2473172Z x = module(x) 2025-08-14T21:57:42.2473364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.2473426Z y = f(x[j]) 2025-08-14T21:57:42.2473431Z 2025-08-14T21:57:42.2473532Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2473742Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2473808Z return mod(*inputs) 2025-08-14T21:57:42.2474011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2474086Z y = self.forward_features(x) 2025-08-14T21:57:42.2474317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2474399Z yl = self.stages(x) 2025-08-14T21:57:42.2474583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2474649Z yl = self.stage3(xl) 2025-08-14T21:57:42.2474841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2474931Z x = module(x) 2025-08-14T21:57:42.2475139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.2475199Z y = f(x[j]) 2025-08-14T21:57:42.2475203Z 2025-08-14T21:57:42.2475303Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2475505Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2475568Z return mod(*inputs) 2025-08-14T21:57:42.2475754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2475830Z y = self.forward_features(x) 2025-08-14T21:57:42.2476061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2476139Z yl = self.stages(x) 2025-08-14T21:57:42.2476336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2476405Z yl = self.stage3(xl) 2025-08-14T21:57:42.2476611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2476672Z x = module(x) 2025-08-14T21:57:42.2476872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.2476938Z y = f(x[j]) 2025-08-14T21:57:42.2476942Z 2025-08-14T21:57:42.2477045Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2477246Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2477310Z return mod(*inputs) 2025-08-14T21:57:42.2477507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2477589Z y = self.forward_features(x) 2025-08-14T21:57:42.2477820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2477888Z yl = self.stages(x) 2025-08-14T21:57:42.2478100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2478163Z yl = self.stage3(xl) 2025-08-14T21:57:42.2478357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2478415Z x = module(x) 2025-08-14T21:57:42.2478623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2478692Z y = y + f(x[j]) 2025-08-14T21:57:42.2478696Z 2025-08-14T21:57:42.2478798Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2478993Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2479064Z return mod(*inputs) 2025-08-14T21:57:42.2479249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2479329Z y = self.forward_features(x) 2025-08-14T21:57:42.2479543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2479605Z yl = self.stages(x) 2025-08-14T21:57:42.2479793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2479855Z yl = self.stage3(xl) 2025-08-14T21:57:42.2480041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2480107Z x = module(x) 2025-08-14T21:57:42.2480291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2480357Z y = y + f(x[j]) 2025-08-14T21:57:42.2480361Z 2025-08-14T21:57:42.2480461Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2480656Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2480761Z return mod(*inputs) 2025-08-14T21:57:42.2480946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2481014Z y = self.forward_features(x) 2025-08-14T21:57:42.2481239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2481301Z yl = self.stages(x) 2025-08-14T21:57:42.2481492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2481555Z yl = self.stage3(xl) 2025-08-14T21:57:42.2481754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2481821Z x = module(x) 2025-08-14T21:57:42.2482005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2482066Z y = y + f(x[j]) 2025-08-14T21:57:42.2482076Z 2025-08-14T21:57:42.2482179Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2482374Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2482445Z return mod(*inputs) 2025-08-14T21:57:42.2482630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2482702Z y = self.forward_features(x) 2025-08-14T21:57:42.2482922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2482986Z yl = self.stages(x) 2025-08-14T21:57:42.2483169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2483240Z yl = self.stage3(xl) 2025-08-14T21:57:42.2483424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2483492Z x = module(x) 2025-08-14T21:57:42.2483680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:57:42.2483758Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:57:42.2483762Z 2025-08-14T21:57:42.2483870Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2484064Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2484157Z return mod(*inputs) 2025-08-14T21:57:42.2484344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2484414Z y = self.forward_features(x) 2025-08-14T21:57:42.2484638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2484703Z yl = self.stages(x) 2025-08-14T21:57:42.2484884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2484958Z yl = self.stage3(xl) 2025-08-14T21:57:42.2485142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2485202Z x = module(x) 2025-08-14T21:57:42.2485392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2485456Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2485657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2485719Z x = self.conv1(x) 2025-08-14T21:57:42.2485723Z 2025-08-14T21:57:42.2485825Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2486040Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2486107Z return mod(*inputs) 2025-08-14T21:57:42.2486312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2486407Z y = self.forward_features(x) 2025-08-14T21:57:42.2486649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2486723Z yl = self.stages(x) 2025-08-14T21:57:42.2486916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2486985Z yl = self.stage3(xl) 2025-08-14T21:57:42.2487188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2487251Z x = module(x) 2025-08-14T21:57:42.2487470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2487545Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2487751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2487822Z x = self.act1(x) 2025-08-14T21:57:42.2487827Z 2025-08-14T21:57:42.2487933Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2488143Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2488217Z return mod(*inputs) 2025-08-14T21:57:42.2488412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2488492Z y = self.forward_features(x) 2025-08-14T21:57:42.2488749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2488849Z yl = self.stages(x) 2025-08-14T21:57:42.2489138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2489227Z yl = self.stage3(xl) 2025-08-14T21:57:42.2489512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2489588Z x = module(x) 2025-08-14T21:57:42.2489794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2489859Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2490060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2490123Z x = self.conv2(x) 2025-08-14T21:57:42.2490127Z 2025-08-14T21:57:42.2490236Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2490464Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2490528Z return mod(*inputs) 2025-08-14T21:57:42.2490722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2490791Z y = self.forward_features(x) 2025-08-14T21:57:42.2491012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2491078Z yl = self.stages(x) 2025-08-14T21:57:42.2491260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2491333Z yl = self.stage3(xl) 2025-08-14T21:57:42.2491523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2491580Z x = module(x) 2025-08-14T21:57:42.2491767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2491827Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2492014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2492083Z x = self.act2(x) 2025-08-14T21:57:42.2492086Z 2025-08-14T21:57:42.2492182Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2492378Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2492458Z return mod(*inputs) 2025-08-14T21:57:42.2492656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2492733Z y = self.forward_features(x) 2025-08-14T21:57:42.2492940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2493010Z yl = self.stages(x) 2025-08-14T21:57:42.2493195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2493257Z yl = self.stage3(xl) 2025-08-14T21:57:42.2493448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2493527Z x = module(x) 2025-08-14T21:57:42.2493713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2493782Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2493978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2494045Z x = self.conv1(x) 2025-08-14T21:57:42.2494055Z 2025-08-14T21:57:42.2494161Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2494363Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2494435Z return mod(*inputs) 2025-08-14T21:57:42.2494627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2494700Z y = self.forward_features(x) 2025-08-14T21:57:42.2494926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2494991Z yl = self.stages(x) 2025-08-14T21:57:42.2495184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2495250Z yl = self.stage3(xl) 2025-08-14T21:57:42.2495441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2495512Z x = module(x) 2025-08-14T21:57:42.2495701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2495764Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2495979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2496078Z x = self.act1(x) 2025-08-14T21:57:42.2496082Z 2025-08-14T21:57:42.2496200Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2496406Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2496472Z return mod(*inputs) 2025-08-14T21:57:42.2496676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2496751Z y = self.forward_features(x) 2025-08-14T21:57:42.2496978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2497056Z yl = self.stages(x) 2025-08-14T21:57:42.2497252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2497329Z yl = self.stage3(xl) 2025-08-14T21:57:42.2497528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2497593Z x = module(x) 2025-08-14T21:57:42.2497804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2497868Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2498061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2498135Z x = self.conv2(x) 2025-08-14T21:57:42.2498139Z 2025-08-14T21:57:42.2498242Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2498473Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2498553Z return mod(*inputs) 2025-08-14T21:57:42.2498733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2498809Z y = self.forward_features(x) 2025-08-14T21:57:42.2499026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2499090Z yl = self.stages(x) 2025-08-14T21:57:42.2499286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2499368Z yl = self.stage3(xl) 2025-08-14T21:57:42.2499560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2499618Z x = module(x) 2025-08-14T21:57:42.2499857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2499959Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2500242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2500322Z x = self.act2(x) 2025-08-14T21:57:42.2500325Z 2025-08-14T21:57:42.2500436Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2500646Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2500748Z return mod(*inputs) 2025-08-14T21:57:42.2501035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2501110Z y = self.forward_features(x) 2025-08-14T21:57:42.2501345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2501412Z yl = self.stages(x) 2025-08-14T21:57:42.2501604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2501684Z yl = self.stage3(xl) 2025-08-14T21:57:42.2501879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2501948Z x = module(x) 2025-08-14T21:57:42.2502144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2502209Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2502437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2502505Z x = self.conv1(x) 2025-08-14T21:57:42.2502509Z 2025-08-14T21:57:42.2502620Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2502845Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2502911Z return mod(*inputs) 2025-08-14T21:57:42.2503116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2503194Z y = self.forward_features(x) 2025-08-14T21:57:42.2503419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2503495Z yl = self.stages(x) 2025-08-14T21:57:42.2503691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2503759Z yl = self.stage3(xl) 2025-08-14T21:57:42.2503963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2504027Z x = module(x) 2025-08-14T21:57:42.2504234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2504299Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2504500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2504593Z x = self.act1(x) 2025-08-14T21:57:42.2504596Z 2025-08-14T21:57:42.2504723Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2504925Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2504997Z return mod(*inputs) 2025-08-14T21:57:42.2505191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2505272Z y = self.forward_features(x) 2025-08-14T21:57:42.2505553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2505626Z yl = self.stages(x) 2025-08-14T21:57:42.2505857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2505931Z yl = self.stage3(xl) 2025-08-14T21:57:42.2506133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2506205Z x = module(x) 2025-08-14T21:57:42.2506409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2506481Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2506689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2506756Z x = self.conv2(x) 2025-08-14T21:57:42.2506760Z 2025-08-14T21:57:42.2506881Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2507108Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2507177Z return mod(*inputs) 2025-08-14T21:57:42.2507383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2507456Z y = self.forward_features(x) 2025-08-14T21:57:42.2507692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2507761Z yl = self.stages(x) 2025-08-14T21:57:42.2507958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2508035Z yl = self.stage3(xl) 2025-08-14T21:57:42.2508229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2508292Z x = module(x) 2025-08-14T21:57:42.2508520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2508588Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2508798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2508863Z x = self.act2(x) 2025-08-14T21:57:42.2508867Z 2025-08-14T21:57:42.2508973Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2509185Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2509254Z return mod(*inputs) 2025-08-14T21:57:42.2509450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2509533Z y = self.forward_features(x) 2025-08-14T21:57:42.2509758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2509831Z yl = self.stages(x) 2025-08-14T21:57:42.2510026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2510094Z yl = self.stage3(xl) 2025-08-14T21:57:42.2510299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2510363Z x = module(x) 2025-08-14T21:57:42.2510557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2510630Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2510855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2510948Z x = self.conv1(x) 2025-08-14T21:57:42.2510952Z 2025-08-14T21:57:42.2511059Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2511268Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2511343Z return mod(*inputs) 2025-08-14T21:57:42.2511540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2511613Z y = self.forward_features(x) 2025-08-14T21:57:42.2511867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2511935Z yl = self.stages(x) 2025-08-14T21:57:42.2512134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2512204Z yl = self.stage3(xl) 2025-08-14T21:57:42.2512397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2512470Z x = module(x) 2025-08-14T21:57:42.2512668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2512733Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2512942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2513006Z x = self.act1(x) 2025-08-14T21:57:42.2513009Z 2025-08-14T21:57:42.2513121Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2513327Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2513393Z return mod(*inputs) 2025-08-14T21:57:42.2513595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2513669Z y = self.forward_features(x) 2025-08-14T21:57:42.2513895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2513971Z yl = self.stages(x) 2025-08-14T21:57:42.2514162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2514235Z yl = self.stage3(xl) 2025-08-14T21:57:42.2514448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2514513Z x = module(x) 2025-08-14T21:57:42.2514715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2514781Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2514984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2515056Z x = self.conv2(x) 2025-08-14T21:57:42.2515059Z 2025-08-14T21:57:42.2515168Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2515379Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2515447Z return mod(*inputs) 2025-08-14T21:57:42.2515641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2515722Z y = self.forward_features(x) 2025-08-14T21:57:42.2515944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2516012Z yl = self.stages(x) 2025-08-14T21:57:42.2516213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2516281Z yl = self.stage3(xl) 2025-08-14T21:57:42.2516484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2516547Z x = module(x) 2025-08-14T21:57:42.2516740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2516849Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2517051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2517114Z x = self.act2(x) 2025-08-14T21:57:42.2517118Z 2025-08-14T21:57:42.2517235Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2517444Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2517517Z return mod(*inputs) 2025-08-14T21:57:42.2517712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2517811Z y = self.forward_features(x) 2025-08-14T21:57:42.2518047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2518112Z yl = self.stages(x) 2025-08-14T21:57:42.2518306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2518385Z yl = self.stage3(xl) 2025-08-14T21:57:42.2518579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2518647Z x = module(x) 2025-08-14T21:57:42.2518841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.2518904Z y = f(x[j]) 2025-08-14T21:57:42.2518907Z 2025-08-14T21:57:42.2519022Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2519228Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2519294Z return mod(*inputs) 2025-08-14T21:57:42.2519500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2519568Z y = self.forward_features(x) 2025-08-14T21:57:42.2519788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2519852Z yl = self.stages(x) 2025-08-14T21:57:42.2520033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2520102Z yl = self.stage3(xl) 2025-08-14T21:57:42.2520285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2520360Z x = module(x) 2025-08-14T21:57:42.2520553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2520613Z y = y + f(x[j]) 2025-08-14T21:57:42.2520616Z 2025-08-14T21:57:42.2520725Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2520918Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2520981Z return mod(*inputs) 2025-08-14T21:57:42.2521175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2521245Z y = self.forward_features(x) 2025-08-14T21:57:42.2521459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2521529Z yl = self.stages(x) 2025-08-14T21:57:42.2521708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2521783Z yl = self.stage3(xl) 2025-08-14T21:57:42.2521966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2522025Z x = module(x) 2025-08-14T21:57:42.2522215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2522275Z y = y + f(x[j]) 2025-08-14T21:57:42.2522279Z 2025-08-14T21:57:42.2522377Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2522602Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2522683Z return mod(*inputs) 2025-08-14T21:57:42.2522879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2522948Z y = self.forward_features(x) 2025-08-14T21:57:42.2523168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2523239Z yl = self.stages(x) 2025-08-14T21:57:42.2523427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2523507Z yl = self.stage3(xl) 2025-08-14T21:57:42.2523701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2523761Z x = module(x) 2025-08-14T21:57:42.2523952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:57:42.2524032Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:57:42.2524036Z 2025-08-14T21:57:42.2524136Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2524349Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2524415Z return mod(*inputs) 2025-08-14T21:57:42.2524612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2524693Z y = self.forward_features(x) 2025-08-14T21:57:42.2524921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2524997Z yl = self.stages(x) 2025-08-14T21:57:42.2525191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2525259Z yl = self.stage3(xl) 2025-08-14T21:57:42.2525464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2525527Z x = module(x) 2025-08-14T21:57:42.2525720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2525793Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2525991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2526063Z x = self.conv1(x) 2025-08-14T21:57:42.2526085Z 2025-08-14T21:57:42.2526195Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2526404Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2526480Z return mod(*inputs) 2025-08-14T21:57:42.2526800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2526875Z y = self.forward_features(x) 2025-08-14T21:57:42.2527102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2527166Z yl = self.stages(x) 2025-08-14T21:57:42.2527360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2527430Z yl = self.stage3(xl) 2025-08-14T21:57:42.2527634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2527712Z x = module(x) 2025-08-14T21:57:42.2527914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2527983Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2528206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2528272Z x = self.act1(x) 2025-08-14T21:57:42.2528275Z 2025-08-14T21:57:42.2528391Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2528659Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2528754Z return mod(*inputs) 2025-08-14T21:57:42.2528960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2529035Z y = self.forward_features(x) 2025-08-14T21:57:42.2529264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2529347Z yl = self.stages(x) 2025-08-14T21:57:42.2529529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2529601Z yl = self.stage3(xl) 2025-08-14T21:57:42.2529811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2529874Z x = module(x) 2025-08-14T21:57:42.2530070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2530135Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2530333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2530403Z x = self.conv2(x) 2025-08-14T21:57:42.2530406Z 2025-08-14T21:57:42.2530509Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2530713Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2530778Z return mod(*inputs) 2025-08-14T21:57:42.2530966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2531043Z y = self.forward_features(x) 2025-08-14T21:57:42.2531261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2531326Z yl = self.stages(x) 2025-08-14T21:57:42.2531518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2531583Z yl = self.stage3(xl) 2025-08-14T21:57:42.2531777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2531836Z x = module(x) 2025-08-14T21:57:42.2532021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2532092Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2532312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2532377Z x = self.act2(x) 2025-08-14T21:57:42.2532386Z 2025-08-14T21:57:42.2532490Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2532684Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2532753Z return mod(*inputs) 2025-08-14T21:57:42.2532936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2533007Z y = self.forward_features(x) 2025-08-14T21:57:42.2533229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2533291Z yl = self.stages(x) 2025-08-14T21:57:42.2533471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2533541Z yl = self.stage3(xl) 2025-08-14T21:57:42.2533725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2533791Z x = module(x) 2025-08-14T21:57:42.2533976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2534039Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2534238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2534332Z x = self.conv1(x) 2025-08-14T21:57:42.2534335Z 2025-08-14T21:57:42.2534448Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2534667Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2534729Z return mod(*inputs) 2025-08-14T21:57:42.2534919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2534988Z y = self.forward_features(x) 2025-08-14T21:57:42.2535203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2535278Z yl = self.stages(x) 2025-08-14T21:57:42.2535473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2535542Z yl = self.stage3(xl) 2025-08-14T21:57:42.2535739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2535800Z x = module(x) 2025-08-14T21:57:42.2535996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2536061Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2536253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2536323Z x = self.act1(x) 2025-08-14T21:57:42.2536326Z 2025-08-14T21:57:42.2536427Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2536640Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2536707Z return mod(*inputs) 2025-08-14T21:57:42.2536908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2536990Z y = self.forward_features(x) 2025-08-14T21:57:42.2537229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2537294Z yl = self.stages(x) 2025-08-14T21:57:42.2537488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2537552Z yl = self.stage3(xl) 2025-08-14T21:57:42.2537750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2537810Z x = module(x) 2025-08-14T21:57:42.2538013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2538084Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2538273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2538336Z x = self.conv2(x) 2025-08-14T21:57:42.2538339Z 2025-08-14T21:57:42.2538458Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2538646Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2538716Z return mod(*inputs) 2025-08-14T21:57:42.2538899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2538967Z y = self.forward_features(x) 2025-08-14T21:57:42.2539187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2539250Z yl = self.stages(x) 2025-08-14T21:57:42.2539432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2539506Z yl = self.stage3(xl) 2025-08-14T21:57:42.2539693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2539762Z x = module(x) 2025-08-14T21:57:42.2539946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2540008Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2540258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2540350Z x = self.act2(x) 2025-08-14T21:57:42.2540354Z 2025-08-14T21:57:42.2540464Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2540678Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2540746Z return mod(*inputs) 2025-08-14T21:57:42.2540951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2541026Z y = self.forward_features(x) 2025-08-14T21:57:42.2541271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2541348Z yl = self.stages(x) 2025-08-14T21:57:42.2541543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2541612Z yl = self.stage3(xl) 2025-08-14T21:57:42.2541818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2541884Z x = module(x) 2025-08-14T21:57:42.2542089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2542154Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2542357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2542431Z x = self.conv1(x) 2025-08-14T21:57:42.2542434Z 2025-08-14T21:57:42.2542540Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2542754Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2542826Z return mod(*inputs) 2025-08-14T21:57:42.2543023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2543104Z y = self.forward_features(x) 2025-08-14T21:57:42.2543336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2543403Z yl = self.stages(x) 2025-08-14T21:57:42.2543604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2543671Z yl = self.stage3(xl) 2025-08-14T21:57:42.2543866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2543951Z x = module(x) 2025-08-14T21:57:42.2544147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2544221Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2544432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2544495Z x = self.act1(x) 2025-08-14T21:57:42.2544499Z 2025-08-14T21:57:42.2544612Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2544823Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2544892Z return mod(*inputs) 2025-08-14T21:57:42.2545093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2545165Z y = self.forward_features(x) 2025-08-14T21:57:42.2545471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2545544Z yl = self.stages(x) 2025-08-14T21:57:42.2545737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2545813Z yl = self.stage3(xl) 2025-08-14T21:57:42.2546011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2546078Z x = module(x) 2025-08-14T21:57:42.2546287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2546401Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2546622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2546692Z x = self.conv2(x) 2025-08-14T21:57:42.2546696Z 2025-08-14T21:57:42.2546821Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2547025Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2547089Z return mod(*inputs) 2025-08-14T21:57:42.2547274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2547368Z y = self.forward_features(x) 2025-08-14T21:57:42.2547591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2547666Z yl = self.stages(x) 2025-08-14T21:57:42.2547848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2547917Z yl = self.stage3(xl) 2025-08-14T21:57:42.2548108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2548170Z x = module(x) 2025-08-14T21:57:42.2548354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2548427Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2548616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2548685Z x = self.act2(x) 2025-08-14T21:57:42.2548688Z 2025-08-14T21:57:42.2548790Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2548988Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2549061Z return mod(*inputs) 2025-08-14T21:57:42.2549247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2549320Z y = self.forward_features(x) 2025-08-14T21:57:42.2549541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2549606Z yl = self.stages(x) 2025-08-14T21:57:42.2549798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2549879Z yl = self.stage3(xl) 2025-08-14T21:57:42.2550061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2550127Z x = module(x) 2025-08-14T21:57:42.2550306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2550366Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2550557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2550621Z x = self.conv1(x) 2025-08-14T21:57:42.2550624Z 2025-08-14T21:57:42.2550730Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2550919Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2550982Z return mod(*inputs) 2025-08-14T21:57:42.2551166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2551235Z y = self.forward_features(x) 2025-08-14T21:57:42.2551441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2551509Z yl = self.stages(x) 2025-08-14T21:57:42.2551686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2551755Z yl = self.stage3(xl) 2025-08-14T21:57:42.2551935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2552010Z x = module(x) 2025-08-14T21:57:42.2552213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2552275Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2552458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2552525Z x = self.act1(x) 2025-08-14T21:57:42.2552528Z 2025-08-14T21:57:42.2552628Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2552824Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2552886Z return mod(*inputs) 2025-08-14T21:57:42.2553083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2553161Z y = self.forward_features(x) 2025-08-14T21:57:42.2553369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2553432Z yl = self.stages(x) 2025-08-14T21:57:42.2553618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2553680Z yl = self.stage3(xl) 2025-08-14T21:57:42.2553866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2553925Z x = module(x) 2025-08-14T21:57:42.2554106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2554173Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2554359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2554420Z x = self.conv2(x) 2025-08-14T21:57:42.2554423Z 2025-08-14T21:57:42.2554529Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2554718Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2554791Z return mod(*inputs) 2025-08-14T21:57:42.2554969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2555035Z y = self.forward_features(x) 2025-08-14T21:57:42.2555248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2555309Z yl = self.stages(x) 2025-08-14T21:57:42.2555504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2555577Z yl = self.stage3(xl) 2025-08-14T21:57:42.2555762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2555825Z x = module(x) 2025-08-14T21:57:42.2556006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2556065Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2556261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2556322Z x = self.act2(x) 2025-08-14T21:57:42.2556325Z 2025-08-14T21:57:42.2556424Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2556622Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2556682Z return mod(*inputs) 2025-08-14T21:57:42.2556871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2556938Z y = self.forward_features(x) 2025-08-14T21:57:42.2557153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2557222Z yl = self.stages(x) 2025-08-14T21:57:42.2557405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2557493Z yl = self.stage3(xl) 2025-08-14T21:57:42.2557684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2557772Z x = module(x) 2025-08-14T21:57:42.2557957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2558017Z y = y + f(x[j]) 2025-08-14T21:57:42.2558020Z 2025-08-14T21:57:42.2558118Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2558320Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2558383Z return mod(*inputs) 2025-08-14T21:57:42.2558581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2558660Z y = self.forward_features(x) 2025-08-14T21:57:42.2558875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2558945Z yl = self.stages(x) 2025-08-14T21:57:42.2559132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2559202Z yl = self.stage3(xl) 2025-08-14T21:57:42.2559395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2559455Z x = module(x) 2025-08-14T21:57:42.2559642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2559711Z y = y + f(x[j]) 2025-08-14T21:57:42.2559715Z 2025-08-14T21:57:42.2559815Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2560019Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2560084Z return mod(*inputs) 2025-08-14T21:57:42.2560268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2560349Z y = self.forward_features(x) 2025-08-14T21:57:42.2560566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2560629Z yl = self.stages(x) 2025-08-14T21:57:42.2560822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2560886Z yl = self.stage3(xl) 2025-08-14T21:57:42.2561098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2561159Z x = module(x) 2025-08-14T21:57:42.2561350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2561421Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2561614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2561677Z x = self.conv1(x) 2025-08-14T21:57:42.2561680Z 2025-08-14T21:57:42.2561794Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2561992Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2562064Z return mod(*inputs) 2025-08-14T21:57:42.2562251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2562328Z y = self.forward_features(x) 2025-08-14T21:57:42.2562552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2562616Z yl = self.stages(x) 2025-08-14T21:57:42.2562809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2562879Z yl = self.stage3(xl) 2025-08-14T21:57:42.2563073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2563139Z x = module(x) 2025-08-14T21:57:42.2563353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2563433Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2563632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2563693Z x = self.act1(x) 2025-08-14T21:57:42.2563696Z 2025-08-14T21:57:42.2563795Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2564001Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2564065Z return mod(*inputs) 2025-08-14T21:57:42.2564279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2564351Z y = self.forward_features(x) 2025-08-14T21:57:42.2564564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2564634Z yl = self.stages(x) 2025-08-14T21:57:42.2564822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2564887Z yl = self.stage3(xl) 2025-08-14T21:57:42.2565081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2565140Z x = module(x) 2025-08-14T21:57:42.2565331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2565394Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2565585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2565656Z x = self.conv2(x) 2025-08-14T21:57:42.2565660Z 2025-08-14T21:57:42.2565760Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2565955Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2566026Z return mod(*inputs) 2025-08-14T21:57:42.2566216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2566295Z y = self.forward_features(x) 2025-08-14T21:57:42.2566512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2566575Z yl = self.stages(x) 2025-08-14T21:57:42.2566784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2566850Z yl = self.stage3(xl) 2025-08-14T21:57:42.2567031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2567097Z x = module(x) 2025-08-14T21:57:42.2567280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2567349Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2567536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2567597Z x = self.act2(x) 2025-08-14T21:57:42.2567602Z 2025-08-14T21:57:42.2567709Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2567902Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2567965Z return mod(*inputs) 2025-08-14T21:57:42.2568159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2568229Z y = self.forward_features(x) 2025-08-14T21:57:42.2568447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2596182Z yl = self.stages(x) 2025-08-14T21:57:42.2596626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2596720Z yl = self.stage3(xl) 2025-08-14T21:57:42.2596950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2597172Z x = module(x) 2025-08-14T21:57:42.2597383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2597457Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2597682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2597753Z x = self.conv1(x) 2025-08-14T21:57:42.2597760Z 2025-08-14T21:57:42.2597899Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2598127Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2598223Z return mod(*inputs) 2025-08-14T21:57:42.2598434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2598511Z y = self.forward_features(x) 2025-08-14T21:57:42.2598739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2598817Z yl = self.stages(x) 2025-08-14T21:57:42.2599006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2599074Z yl = self.stage3(xl) 2025-08-14T21:57:42.2599273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2599335Z x = module(x) 2025-08-14T21:57:42.2599534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2599599Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2599796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2599868Z x = self.act1(x) 2025-08-14T21:57:42.2599871Z 2025-08-14T21:57:42.2599983Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2600188Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2600265Z return mod(*inputs) 2025-08-14T21:57:42.2600457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2600538Z y = self.forward_features(x) 2025-08-14T21:57:42.2600761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2600861Z yl = self.stages(x) 2025-08-14T21:57:42.2601053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2601119Z yl = self.stage3(xl) 2025-08-14T21:57:42.2601310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2601380Z x = module(x) 2025-08-14T21:57:42.2601568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2601640Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2601835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2601898Z x = self.conv2(x) 2025-08-14T21:57:42.2601902Z 2025-08-14T21:57:42.2602017Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2602213Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2602278Z return mod(*inputs) 2025-08-14T21:57:42.2602476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2602547Z y = self.forward_features(x) 2025-08-14T21:57:42.2602767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2602829Z yl = self.stages(x) 2025-08-14T21:57:42.2603012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2603103Z yl = self.stage3(xl) 2025-08-14T21:57:42.2603305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2603366Z x = module(x) 2025-08-14T21:57:42.2603557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2603619Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2603816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2603877Z x = self.act2(x) 2025-08-14T21:57:42.2603881Z 2025-08-14T21:57:42.2603984Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2604205Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2604271Z return mod(*inputs) 2025-08-14T21:57:42.2604455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2604536Z y = self.forward_features(x) 2025-08-14T21:57:42.2604752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2604823Z yl = self.stages(x) 2025-08-14T21:57:42.2605004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2605069Z yl = self.stage3(xl) 2025-08-14T21:57:42.2605263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2605324Z x = module(x) 2025-08-14T21:57:42.2605508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2605581Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2605774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2605844Z x = self.conv1(x) 2025-08-14T21:57:42.2605850Z 2025-08-14T21:57:42.2605955Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2606154Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2606226Z return mod(*inputs) 2025-08-14T21:57:42.2606411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2606481Z y = self.forward_features(x) 2025-08-14T21:57:42.2606724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2606790Z yl = self.stages(x) 2025-08-14T21:57:42.2606987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2607053Z yl = self.stage3(xl) 2025-08-14T21:57:42.2607241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2607308Z x = module(x) 2025-08-14T21:57:42.2607494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2607561Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2607761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2607823Z x = self.act1(x) 2025-08-14T21:57:42.2607827Z 2025-08-14T21:57:42.2607937Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2608133Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2608196Z return mod(*inputs) 2025-08-14T21:57:42.2608392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2608460Z y = self.forward_features(x) 2025-08-14T21:57:42.2608676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2608766Z yl = self.stages(x) 2025-08-14T21:57:42.2608951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2609038Z yl = self.stage3(xl) 2025-08-14T21:57:42.2609225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2609285Z x = module(x) 2025-08-14T21:57:42.2609479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2609540Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2609730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2609816Z x = self.conv2(x) 2025-08-14T21:57:42.2609820Z 2025-08-14T21:57:42.2609923Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2610126Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2610190Z return mod(*inputs) 2025-08-14T21:57:42.2610373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2610451Z y = self.forward_features(x) 2025-08-14T21:57:42.2610666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2610734Z yl = self.stages(x) 2025-08-14T21:57:42.2610924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2610998Z yl = self.stage3(xl) 2025-08-14T21:57:42.2611182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2611242Z x = module(x) 2025-08-14T21:57:42.2611433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2611494Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2611683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2611755Z x = self.act2(x) 2025-08-14T21:57:42.2611759Z 2025-08-14T21:57:42.2611860Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2612064Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2612126Z return mod(*inputs) 2025-08-14T21:57:42.2612326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2612404Z y = self.forward_features(x) 2025-08-14T21:57:42.2612621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2612685Z yl = self.stages(x) 2025-08-14T21:57:42.2612876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2612940Z yl = self.stage3(xl) 2025-08-14T21:57:42.2613132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2613192Z x = module(x) 2025-08-14T21:57:42.2613377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2613447Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2613641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2613713Z x = self.conv1(x) 2025-08-14T21:57:42.2613716Z 2025-08-14T21:57:42.2613823Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2614014Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2614084Z return mod(*inputs) 2025-08-14T21:57:42.2614264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2614332Z y = self.forward_features(x) 2025-08-14T21:57:42.2614575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2614654Z yl = self.stages(x) 2025-08-14T21:57:42.2614838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2614909Z yl = self.stage3(xl) 2025-08-14T21:57:42.2615102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2615166Z x = module(x) 2025-08-14T21:57:42.2615350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2615411Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2615662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2615727Z x = self.act1(x) 2025-08-14T21:57:42.2615731Z 2025-08-14T21:57:42.2615840Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2616057Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2616124Z return mod(*inputs) 2025-08-14T21:57:42.2616335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2616409Z y = self.forward_features(x) 2025-08-14T21:57:42.2616639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2616714Z yl = self.stages(x) 2025-08-14T21:57:42.2616911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2616979Z yl = self.stage3(xl) 2025-08-14T21:57:42.2617187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2617250Z x = module(x) 2025-08-14T21:57:42.2617451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2617520Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2617722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2617796Z x = self.conv2(x) 2025-08-14T21:57:42.2617801Z 2025-08-14T21:57:42.2617910Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2618119Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2618210Z return mod(*inputs) 2025-08-14T21:57:42.2618407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2618489Z y = self.forward_features(x) 2025-08-14T21:57:42.2618719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2618785Z yl = self.stages(x) 2025-08-14T21:57:42.2618988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2619059Z yl = self.stage3(xl) 2025-08-14T21:57:42.2619256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2619327Z x = module(x) 2025-08-14T21:57:42.2619524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.2619597Z y = f(x[j]) 2025-08-14T21:57:42.2619601Z 2025-08-14T21:57:42.2619712Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2619918Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2620016Z return mod(*inputs) 2025-08-14T21:57:42.2620211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2620284Z y = self.forward_features(x) 2025-08-14T21:57:42.2620520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2620621Z yl = self.stages(x) 2025-08-14T21:57:42.2620822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2620889Z yl = self.stage3(xl) 2025-08-14T21:57:42.2621085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2621154Z x = module(x) 2025-08-14T21:57:42.2621352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.2621414Z y = f(x[j]) 2025-08-14T21:57:42.2621418Z 2025-08-14T21:57:42.2621551Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2621760Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2621835Z return mod(*inputs) 2025-08-14T21:57:42.2622030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2622106Z y = self.forward_features(x) 2025-08-14T21:57:42.2622349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2622415Z yl = self.stages(x) 2025-08-14T21:57:42.2622615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2622691Z yl = self.stage3(xl) 2025-08-14T21:57:42.2622893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2622962Z x = module(x) 2025-08-14T21:57:42.2623165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.2623227Z y = f(x[j]) 2025-08-14T21:57:42.2623231Z 2025-08-14T21:57:42.2623347Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2623555Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2623624Z return mod(*inputs) 2025-08-14T21:57:42.2623832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2623903Z y = self.forward_features(x) 2025-08-14T21:57:42.2624145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2624228Z yl = self.stages(x) 2025-08-14T21:57:42.2624424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2624500Z yl = self.stage3(xl) 2025-08-14T21:57:42.2624696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2624758Z x = module(x) 2025-08-14T21:57:42.2624960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2625025Z y = y + f(x[j]) 2025-08-14T21:57:42.2625028Z 2025-08-14T21:57:42.2625147Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2625450Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2625521Z return mod(*inputs) 2025-08-14T21:57:42.2625726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2625803Z y = self.forward_features(x) 2025-08-14T21:57:42.2626031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2626108Z yl = self.stages(x) 2025-08-14T21:57:42.2626312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2626392Z yl = self.stage3(xl) 2025-08-14T21:57:42.2626752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2626852Z x = module(x) 2025-08-14T21:57:42.2627097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2627164Z y = y + f(x[j]) 2025-08-14T21:57:42.2627168Z 2025-08-14T21:57:42.2627278Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2627499Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2627580Z return mod(*inputs) 2025-08-14T21:57:42.2627785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2627858Z y = self.forward_features(x) 2025-08-14T21:57:42.2628104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2628186Z yl = self.stages(x) 2025-08-14T21:57:42.2628374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2628440Z yl = self.stage3(xl) 2025-08-14T21:57:42.2628639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2628698Z x = module(x) 2025-08-14T21:57:42.2628892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2628952Z y = y + f(x[j]) 2025-08-14T21:57:42.2628955Z 2025-08-14T21:57:42.2629058Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2629262Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2629325Z return mod(*inputs) 2025-08-14T21:57:42.2629524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2629603Z y = self.forward_features(x) 2025-08-14T21:57:42.2629830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2629904Z yl = self.stages(x) 2025-08-14T21:57:42.2630102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2630169Z yl = self.stage3(xl) 2025-08-14T21:57:42.2630376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2630438Z x = module(x) 2025-08-14T21:57:42.2630710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:57:42.2630803Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:57:42.2630807Z 2025-08-14T21:57:42.2630917Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2631129Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2631201Z return mod(*inputs) 2025-08-14T21:57:42.2631419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2631529Z y = self.forward_features(x) 2025-08-14T21:57:42.2631838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2631935Z yl = self.stages(x) 2025-08-14T21:57:42.2632189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2632257Z yl = self.stage3(xl) 2025-08-14T21:57:42.2632452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2632512Z x = module(x) 2025-08-14T21:57:42.2632704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2632776Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2632966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2633067Z x = self.conv1(x) 2025-08-14T21:57:42.2633079Z 2025-08-14T21:57:42.2633206Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2633402Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2633472Z return mod(*inputs) 2025-08-14T21:57:42.2633657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2633727Z y = self.forward_features(x) 2025-08-14T21:57:42.2633949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2634011Z yl = self.stages(x) 2025-08-14T21:57:42.2634222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2634290Z yl = self.stage3(xl) 2025-08-14T21:57:42.2634476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2634544Z x = module(x) 2025-08-14T21:57:42.2634730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2634795Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2634992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2635053Z x = self.act1(x) 2025-08-14T21:57:42.2635056Z 2025-08-14T21:57:42.2635166Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2635362Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2635426Z return mod(*inputs) 2025-08-14T21:57:42.2635622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2635690Z y = self.forward_features(x) 2025-08-14T21:57:42.2635905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2635977Z yl = self.stages(x) 2025-08-14T21:57:42.2636164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2636237Z yl = self.stage3(xl) 2025-08-14T21:57:42.2636443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2636504Z x = module(x) 2025-08-14T21:57:42.2636731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2636799Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2637004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2637079Z x = self.conv2(x) 2025-08-14T21:57:42.2637083Z 2025-08-14T21:57:42.2637189Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2637414Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2637483Z return mod(*inputs) 2025-08-14T21:57:42.2637682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2637765Z y = self.forward_features(x) 2025-08-14T21:57:42.2637990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2638056Z yl = self.stages(x) 2025-08-14T21:57:42.2638262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2638330Z yl = self.stage3(xl) 2025-08-14T21:57:42.2638547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2638609Z x = module(x) 2025-08-14T21:57:42.2638812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2638881Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2639090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2639482Z x = self.act2(x) 2025-08-14T21:57:42.2639486Z 2025-08-14T21:57:42.2639600Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2639801Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2639872Z return mod(*inputs) 2025-08-14T21:57:42.2640063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2640135Z y = self.forward_features(x) 2025-08-14T21:57:42.2640376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2640443Z yl = self.stages(x) 2025-08-14T21:57:42.2640627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2640697Z yl = self.stage3(xl) 2025-08-14T21:57:42.2640889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2640958Z x = module(x) 2025-08-14T21:57:42.2641142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2641203Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2641396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2641459Z x = self.conv1(x) 2025-08-14T21:57:42.2641463Z 2025-08-14T21:57:42.2641565Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2641772Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2641836Z return mod(*inputs) 2025-08-14T21:57:42.2642032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2642101Z y = self.forward_features(x) 2025-08-14T21:57:42.2642318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2642393Z yl = self.stages(x) 2025-08-14T21:57:42.2642685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2642767Z yl = self.stage3(xl) 2025-08-14T21:57:42.2643073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2643156Z x = module(x) 2025-08-14T21:57:42.2643392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2643458Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2643645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2643713Z x = self.act1(x) 2025-08-14T21:57:42.2643717Z 2025-08-14T21:57:42.2643817Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2644013Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2644086Z return mod(*inputs) 2025-08-14T21:57:42.2644269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2644347Z y = self.forward_features(x) 2025-08-14T21:57:42.2644566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2644649Z yl = self.stages(x) 2025-08-14T21:57:42.2644946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2645015Z yl = self.stage3(xl) 2025-08-14T21:57:42.2645206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2645274Z x = module(x) 2025-08-14T21:57:42.2645457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2645567Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2645763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2645826Z x = self.conv2(x) 2025-08-14T21:57:42.2645829Z 2025-08-14T21:57:42.2645938Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2646139Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2646204Z return mod(*inputs) 2025-08-14T21:57:42.2646401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2646488Z y = self.forward_features(x) 2025-08-14T21:57:42.2646710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2646773Z yl = self.stages(x) 2025-08-14T21:57:42.2646955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2647028Z yl = self.stage3(xl) 2025-08-14T21:57:42.2647212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2647273Z x = module(x) 2025-08-14T21:57:42.2647463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2647525Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2647725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2647786Z x = self.act2(x) 2025-08-14T21:57:42.2647790Z 2025-08-14T21:57:42.2647892Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2648093Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2648157Z return mod(*inputs) 2025-08-14T21:57:42.2648340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2648421Z y = self.forward_features(x) 2025-08-14T21:57:42.2648633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2648702Z yl = self.stages(x) 2025-08-14T21:57:42.2648881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2648961Z yl = self.stage3(xl) 2025-08-14T21:57:42.2649155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2649213Z x = module(x) 2025-08-14T21:57:42.2649400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2649470Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2649662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2649733Z x = self.conv1(x) 2025-08-14T21:57:42.2649738Z 2025-08-14T21:57:42.2649840Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2650033Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2650103Z return mod(*inputs) 2025-08-14T21:57:42.2650287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2650357Z y = self.forward_features(x) 2025-08-14T21:57:42.2650588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2650650Z yl = self.stages(x) 2025-08-14T21:57:42.2650837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2650900Z yl = self.stage3(xl) 2025-08-14T21:57:42.2651078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2651161Z x = module(x) 2025-08-14T21:57:42.2651358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2651417Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2651613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2651674Z x = self.act1(x) 2025-08-14T21:57:42.2651678Z 2025-08-14T21:57:42.2651790Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2651983Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2652045Z return mod(*inputs) 2025-08-14T21:57:42.2652251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2652321Z y = self.forward_features(x) 2025-08-14T21:57:42.2652534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2652608Z yl = self.stages(x) 2025-08-14T21:57:42.2652790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2652861Z yl = self.stage3(xl) 2025-08-14T21:57:42.2653045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2653104Z x = module(x) 2025-08-14T21:57:42.2653298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2653359Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2653558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2653627Z x = self.conv2(x) 2025-08-14T21:57:42.2653630Z 2025-08-14T21:57:42.2653732Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2653936Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2654000Z return mod(*inputs) 2025-08-14T21:57:42.2654180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2654255Z y = self.forward_features(x) 2025-08-14T21:57:42.2654463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2654523Z yl = self.stages(x) 2025-08-14T21:57:42.2654730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2654796Z yl = self.stage3(xl) 2025-08-14T21:57:42.2654991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2655050Z x = module(x) 2025-08-14T21:57:42.2655236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2655307Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2655492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2655553Z x = self.act2(x) 2025-08-14T21:57:42.2655557Z 2025-08-14T21:57:42.2655667Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2655859Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2655928Z return mod(*inputs) 2025-08-14T21:57:42.2656131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2656203Z y = self.forward_features(x) 2025-08-14T21:57:42.2656437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2656503Z yl = self.stages(x) 2025-08-14T21:57:42.2656696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2656791Z yl = self.stage3(xl) 2025-08-14T21:57:42.2656995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2657083Z x = module(x) 2025-08-14T21:57:42.2657293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2657358Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2657574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2657635Z x = self.conv1(x) 2025-08-14T21:57:42.2657639Z 2025-08-14T21:57:42.2657745Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2657989Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2658054Z return mod(*inputs) 2025-08-14T21:57:42.2658248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2658319Z y = self.forward_features(x) 2025-08-14T21:57:42.2658536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2658607Z yl = self.stages(x) 2025-08-14T21:57:42.2658788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2658854Z yl = self.stage3(xl) 2025-08-14T21:57:42.2659049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2659108Z x = module(x) 2025-08-14T21:57:42.2659306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2659374Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2659578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2659649Z x = self.act1(x) 2025-08-14T21:57:42.2659653Z 2025-08-14T21:57:42.2659761Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2659967Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2660040Z return mod(*inputs) 2025-08-14T21:57:42.2660247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2660327Z y = self.forward_features(x) 2025-08-14T21:57:42.2660568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2660637Z yl = self.stages(x) 2025-08-14T21:57:42.2660840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2660907Z yl = self.stage3(xl) 2025-08-14T21:57:42.2661114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2661184Z x = module(x) 2025-08-14T21:57:42.2661380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2661454Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2661656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2661721Z x = self.conv2(x) 2025-08-14T21:57:42.2661725Z 2025-08-14T21:57:42.2661841Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2662059Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2662138Z return mod(*inputs) 2025-08-14T21:57:42.2662350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2662420Z y = self.forward_features(x) 2025-08-14T21:57:42.2662657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2662722Z yl = self.stages(x) 2025-08-14T21:57:42.2662945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2663038Z yl = self.stage3(xl) 2025-08-14T21:57:42.2663242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2663309Z x = module(x) 2025-08-14T21:57:42.2663503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2663570Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2663781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2663845Z x = self.act2(x) 2025-08-14T21:57:42.2663865Z 2025-08-14T21:57:42.2663973Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2664184Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2664249Z return mod(*inputs) 2025-08-14T21:57:42.2664450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2664525Z y = self.forward_features(x) 2025-08-14T21:57:42.2664748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2664819Z yl = self.stages(x) 2025-08-14T21:57:42.2665012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2665080Z yl = self.stage3(xl) 2025-08-14T21:57:42.2665358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2665431Z x = module(x) 2025-08-14T21:57:42.2665639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.2665703Z y = f(x[j]) 2025-08-14T21:57:42.2665707Z 2025-08-14T21:57:42.2665816Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2666032Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2666103Z return mod(*inputs) 2025-08-14T21:57:42.2666307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2666388Z y = self.forward_features(x) 2025-08-14T21:57:42.2666644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2666724Z yl = self.stages(x) 2025-08-14T21:57:42.2666933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2667003Z yl = self.stage3(xl) 2025-08-14T21:57:42.2667213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2667276Z x = module(x) 2025-08-14T21:57:42.2667475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2667553Z y = y + f(x[j]) 2025-08-14T21:57:42.2667557Z 2025-08-14T21:57:42.2667665Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2667879Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2667947Z return mod(*inputs) 2025-08-14T21:57:42.2668147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2668228Z y = self.forward_features(x) 2025-08-14T21:57:42.2668457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2668524Z yl = self.stages(x) 2025-08-14T21:57:42.2668729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2668795Z yl = self.stage3(xl) 2025-08-14T21:57:42.2668999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2669103Z x = module(x) 2025-08-14T21:57:42.2669299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2669369Z y = y + f(x[j]) 2025-08-14T21:57:42.2669373Z 2025-08-14T21:57:42.2669481Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2669685Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2669760Z return mod(*inputs) 2025-08-14T21:57:42.2669957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2670053Z y = self.forward_features(x) 2025-08-14T21:57:42.2670281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2670346Z yl = self.stages(x) 2025-08-14T21:57:42.2670548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2670618Z yl = self.stage3(xl) 2025-08-14T21:57:42.2670811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2670882Z x = module(x) 2025-08-14T21:57:42.2671075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:57:42.2671165Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:57:42.2671169Z 2025-08-14T21:57:42.2671275Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2671480Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2671553Z return mod(*inputs) 2025-08-14T21:57:42.2671747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2671819Z y = self.forward_features(x) 2025-08-14T21:57:42.2672056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2672122Z yl = self.stages(x) 2025-08-14T21:57:42.2672321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2672387Z yl = self.stage3(xl) 2025-08-14T21:57:42.2672580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2672666Z x = module(x) 2025-08-14T21:57:42.2672861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2672928Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2673142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2673208Z x = self.conv1(x) 2025-08-14T21:57:42.2673211Z 2025-08-14T21:57:42.2673326Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2673533Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2673601Z return mod(*inputs) 2025-08-14T21:57:42.2673803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2673874Z y = self.forward_features(x) 2025-08-14T21:57:42.2674099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2674175Z yl = self.stages(x) 2025-08-14T21:57:42.2674368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2674441Z yl = self.stage3(xl) 2025-08-14T21:57:42.2674637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2674699Z x = module(x) 2025-08-14T21:57:42.2674898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2674982Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2675198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2675268Z x = self.act1(x) 2025-08-14T21:57:42.2675271Z 2025-08-14T21:57:42.2675377Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2675589Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2675656Z return mod(*inputs) 2025-08-14T21:57:42.2675848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2675944Z y = self.forward_features(x) 2025-08-14T21:57:42.2676173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2676237Z yl = self.stages(x) 2025-08-14T21:57:42.2676425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2676492Z yl = self.stage3(xl) 2025-08-14T21:57:42.2676683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2676742Z x = module(x) 2025-08-14T21:57:42.2676935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2677006Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2677210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2677276Z x = self.conv2(x) 2025-08-14T21:57:42.2677279Z 2025-08-14T21:57:42.2677396Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2677601Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2677675Z return mod(*inputs) 2025-08-14T21:57:42.2677871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2677947Z y = self.forward_features(x) 2025-08-14T21:57:42.2678181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2678247Z yl = self.stages(x) 2025-08-14T21:57:42.2678440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2678516Z yl = self.stage3(xl) 2025-08-14T21:57:42.2678739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2678807Z x = module(x) 2025-08-14T21:57:42.2678992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2679053Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2679251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2679315Z x = self.act2(x) 2025-08-14T21:57:42.2679318Z 2025-08-14T21:57:42.2679423Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2679622Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2679685Z return mod(*inputs) 2025-08-14T21:57:42.2679880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2679951Z y = self.forward_features(x) 2025-08-14T21:57:42.2680167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2680240Z yl = self.stages(x) 2025-08-14T21:57:42.2680424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2680489Z yl = self.stage3(xl) 2025-08-14T21:57:42.2680682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2680762Z x = module(x) 2025-08-14T21:57:42.2680973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2681035Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2681222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2681293Z x = self.conv1(x) 2025-08-14T21:57:42.2681296Z 2025-08-14T21:57:42.2681400Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2681593Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2681665Z return mod(*inputs) 2025-08-14T21:57:42.2681867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2681945Z y = self.forward_features(x) 2025-08-14T21:57:42.2682162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2682226Z yl = self.stages(x) 2025-08-14T21:57:42.2682422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2682486Z yl = self.stage3(xl) 2025-08-14T21:57:42.2682673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2682738Z x = module(x) 2025-08-14T21:57:42.2682926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2682995Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2683190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2683251Z x = self.act1(x) 2025-08-14T21:57:42.2683254Z 2025-08-14T21:57:42.2683364Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2683559Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2683622Z return mod(*inputs) 2025-08-14T21:57:42.2683819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2683887Z y = self.forward_features(x) 2025-08-14T21:57:42.2684112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2684174Z yl = self.stages(x) 2025-08-14T21:57:42.2684383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2684457Z yl = self.stage3(xl) 2025-08-14T21:57:42.2684641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2684699Z x = module(x) 2025-08-14T21:57:42.2684890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2684951Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2685153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2685217Z x = self.conv2(x) 2025-08-14T21:57:42.2685220Z 2025-08-14T21:57:42.2685322Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2685524Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2685588Z return mod(*inputs) 2025-08-14T21:57:42.2685775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2685852Z y = self.forward_features(x) 2025-08-14T21:57:42.2686075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2686147Z yl = self.stages(x) 2025-08-14T21:57:42.2686341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2686430Z yl = self.stage3(xl) 2025-08-14T21:57:42.2686630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2686713Z x = module(x) 2025-08-14T21:57:42.2686910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2686982Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2687182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2687254Z x = self.act2(x) 2025-08-14T21:57:42.2687257Z 2025-08-14T21:57:42.2687365Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2687590Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2687667Z return mod(*inputs) 2025-08-14T21:57:42.2687866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2687950Z y = self.forward_features(x) 2025-08-14T21:57:42.2688172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2688237Z yl = self.stages(x) 2025-08-14T21:57:42.2688430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2688495Z yl = self.stage3(xl) 2025-08-14T21:57:42.2688685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2688752Z x = module(x) 2025-08-14T21:57:42.2688943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2689008Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2689214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2689282Z x = self.conv1(x) 2025-08-14T21:57:42.2689286Z 2025-08-14T21:57:42.2689402Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2689612Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2689682Z return mod(*inputs) 2025-08-14T21:57:42.2689889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2689964Z y = self.forward_features(x) 2025-08-14T21:57:42.2690213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2690290Z yl = self.stages(x) 2025-08-14T21:57:42.2690486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2690566Z yl = self.stage3(xl) 2025-08-14T21:57:42.2690765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2690831Z x = module(x) 2025-08-14T21:57:42.2691036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2691108Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2691310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2691385Z x = self.act1(x) 2025-08-14T21:57:42.2691388Z 2025-08-14T21:57:42.2691498Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2691715Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2691795Z return mod(*inputs) 2025-08-14T21:57:42.2691981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2692063Z y = self.forward_features(x) 2025-08-14T21:57:42.2692281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2692348Z yl = self.stages(x) 2025-08-14T21:57:42.2692554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2692639Z yl = self.stage3(xl) 2025-08-14T21:57:42.2692835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2692897Z x = module(x) 2025-08-14T21:57:42.2693095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2693171Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2693376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2693442Z x = self.conv2(x) 2025-08-14T21:57:42.2693453Z 2025-08-14T21:57:42.2693586Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2693781Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2693854Z return mod(*inputs) 2025-08-14T21:57:42.2694040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2694110Z y = self.forward_features(x) 2025-08-14T21:57:42.2694335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2694397Z yl = self.stages(x) 2025-08-14T21:57:42.2694580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2694652Z yl = self.stage3(xl) 2025-08-14T21:57:42.2694838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2694907Z x = module(x) 2025-08-14T21:57:42.2695115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2695180Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2695386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2695451Z x = self.act2(x) 2025-08-14T21:57:42.2695456Z 2025-08-14T21:57:42.2695562Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2695785Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2695852Z return mod(*inputs) 2025-08-14T21:57:42.2696064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2696159Z y = self.forward_features(x) 2025-08-14T21:57:42.2696393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2696468Z yl = self.stages(x) 2025-08-14T21:57:42.2696669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2696750Z yl = self.stage3(xl) 2025-08-14T21:57:42.2696961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2697024Z x = module(x) 2025-08-14T21:57:42.2697230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2697296Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2697503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2697579Z x = self.conv1(x) 2025-08-14T21:57:42.2697583Z 2025-08-14T21:57:42.2697693Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2697927Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2697997Z return mod(*inputs) 2025-08-14T21:57:42.2698211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2698297Z y = self.forward_features(x) 2025-08-14T21:57:42.2698536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2698640Z yl = self.stages(x) 2025-08-14T21:57:42.2698840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2698917Z yl = self.stage3(xl) 2025-08-14T21:57:42.2699130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2699200Z x = module(x) 2025-08-14T21:57:42.2699417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2699485Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2699716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2699784Z x = self.act1(x) 2025-08-14T21:57:42.2699788Z 2025-08-14T21:57:42.2699897Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2700125Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2700197Z return mod(*inputs) 2025-08-14T21:57:42.2700416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2700491Z y = self.forward_features(x) 2025-08-14T21:57:42.2700722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2700799Z yl = self.stages(x) 2025-08-14T21:57:42.2701001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2701072Z yl = self.stage3(xl) 2025-08-14T21:57:42.2701284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2701348Z x = module(x) 2025-08-14T21:57:42.2701573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2701643Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2701850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2701927Z x = self.conv2(x) 2025-08-14T21:57:42.2701931Z 2025-08-14T21:57:42.2702042Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2702267Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2702344Z return mod(*inputs) 2025-08-14T21:57:42.2702573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2702658Z y = self.forward_features(x) 2025-08-14T21:57:42.2702894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2702962Z yl = self.stages(x) 2025-08-14T21:57:42.2703166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2703238Z yl = self.stage3(xl) 2025-08-14T21:57:42.2703444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2703516Z x = module(x) 2025-08-14T21:57:42.2703731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2703805Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2704015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2704079Z x = self.act2(x) 2025-08-14T21:57:42.2704083Z 2025-08-14T21:57:42.2704199Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2704427Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2704494Z return mod(*inputs) 2025-08-14T21:57:42.2704713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2704812Z y = self.forward_features(x) 2025-08-14T21:57:42.2705076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2705144Z yl = self.stages(x) 2025-08-14T21:57:42.2705440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2705523Z yl = self.stage3(xl) 2025-08-14T21:57:42.2705729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2705795Z x = module(x) 2025-08-14T21:57:42.2706014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2706113Z y = y + f(x[j]) 2025-08-14T21:57:42.2706118Z 2025-08-14T21:57:42.2706241Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2706453Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2706525Z return mod(*inputs) 2025-08-14T21:57:42.2706736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2706812Z y = self.forward_features(x) 2025-08-14T21:57:42.2707046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2707121Z yl = self.stages(x) 2025-08-14T21:57:42.2707323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2707400Z yl = self.stage3(xl) 2025-08-14T21:57:42.2707604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2707667Z x = module(x) 2025-08-14T21:57:42.2707875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2707940Z y = y + f(x[j]) 2025-08-14T21:57:42.2707945Z 2025-08-14T21:57:42.2708056Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2708278Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2708349Z return mod(*inputs) 2025-08-14T21:57:42.2708559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2708635Z y = self.forward_features(x) 2025-08-14T21:57:42.2708890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2708967Z yl = self.stages(x) 2025-08-14T21:57:42.2709168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2709236Z yl = self.stage3(xl) 2025-08-14T21:57:42.2709450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2709513Z x = module(x) 2025-08-14T21:57:42.2709727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2709796Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2710003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2710077Z x = self.conv1(x) 2025-08-14T21:57:42.2710081Z 2025-08-14T21:57:42.2710191Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2710402Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2710480Z return mod(*inputs) 2025-08-14T21:57:42.2710683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2710766Z y = self.forward_features(x) 2025-08-14T21:57:42.2711001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2711093Z yl = self.stages(x) 2025-08-14T21:57:42.2711302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2711417Z yl = self.stage3(xl) 2025-08-14T21:57:42.2711618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2711689Z x = module(x) 2025-08-14T21:57:42.2711889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2711976Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2712174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2712238Z x = self.act1(x) 2025-08-14T21:57:42.2712259Z 2025-08-14T21:57:42.2712374Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2712584Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2712652Z return mod(*inputs) 2025-08-14T21:57:42.2712854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2712930Z y = self.forward_features(x) 2025-08-14T21:57:42.2713162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2713228Z yl = self.stages(x) 2025-08-14T21:57:42.2713424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2713499Z yl = self.stage3(xl) 2025-08-14T21:57:42.2713694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2713757Z x = module(x) 2025-08-14T21:57:42.2713963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2714030Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2714239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2714308Z x = self.conv2(x) 2025-08-14T21:57:42.2714311Z 2025-08-14T21:57:42.2714420Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2714631Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2714699Z return mod(*inputs) 2025-08-14T21:57:42.2714917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2715001Z y = self.forward_features(x) 2025-08-14T21:57:42.2715226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2715300Z yl = self.stages(x) 2025-08-14T21:57:42.2715491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2715559Z yl = self.stage3(xl) 2025-08-14T21:57:42.2715765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2715830Z x = module(x) 2025-08-14T21:57:42.2716024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2716097Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2716303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2716373Z x = self.act2(x) 2025-08-14T21:57:42.2716378Z 2025-08-14T21:57:42.2716485Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2716697Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2716772Z return mod(*inputs) 2025-08-14T21:57:42.2716968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2717041Z y = self.forward_features(x) 2025-08-14T21:57:42.2717291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2717376Z yl = self.stages(x) 2025-08-14T21:57:42.2717584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2717651Z yl = self.stage3(xl) 2025-08-14T21:57:42.2717844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2717914Z x = module(x) 2025-08-14T21:57:42.2718107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2718173Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2718391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2718458Z x = self.conv1(x) 2025-08-14T21:57:42.2718461Z 2025-08-14T21:57:42.2718577Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2718792Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2718861Z return mod(*inputs) 2025-08-14T21:57:42.2719068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2719142Z y = self.forward_features(x) 2025-08-14T21:57:42.2719382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2719457Z yl = self.stages(x) 2025-08-14T21:57:42.2719653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2719728Z yl = self.stage3(xl) 2025-08-14T21:57:42.2719929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2719993Z x = module(x) 2025-08-14T21:57:42.2720198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2720266Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2720471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2720542Z x = self.act1(x) 2025-08-14T21:57:42.2720546Z 2025-08-14T21:57:42.2720656Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2720885Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2720971Z return mod(*inputs) 2025-08-14T21:57:42.2721168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2721249Z y = self.forward_features(x) 2025-08-14T21:57:42.2721475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2721542Z yl = self.stages(x) 2025-08-14T21:57:42.2721752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2721821Z yl = self.stage3(xl) 2025-08-14T21:57:42.2722024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2722087Z x = module(x) 2025-08-14T21:57:42.2722283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2722356Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2722557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2722622Z x = self.conv2(x) 2025-08-14T21:57:42.2722626Z 2025-08-14T21:57:42.2722743Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2722946Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2723019Z return mod(*inputs) 2025-08-14T21:57:42.2723211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2723303Z y = self.forward_features(x) 2025-08-14T21:57:42.2723553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2723618Z yl = self.stages(x) 2025-08-14T21:57:42.2723820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2723896Z yl = self.stage3(xl) 2025-08-14T21:57:42.2724092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2724162Z x = module(x) 2025-08-14T21:57:42.2724372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2724439Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2724645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2724711Z x = self.act2(x) 2025-08-14T21:57:42.2724715Z 2025-08-14T21:57:42.2724821Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2725038Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2725103Z return mod(*inputs) 2025-08-14T21:57:42.2725304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2725378Z y = self.forward_features(x) 2025-08-14T21:57:42.2725606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2725679Z yl = self.stages(x) 2025-08-14T21:57:42.2725891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2725958Z yl = self.stage3(xl) 2025-08-14T21:57:42.2726163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2726227Z x = module(x) 2025-08-14T21:57:42.2726427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2726496Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2726845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2726925Z x = self.conv1(x) 2025-08-14T21:57:42.2726929Z 2025-08-14T21:57:42.2727040Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2727306Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2727388Z return mod(*inputs) 2025-08-14T21:57:42.2727594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2727685Z y = self.forward_features(x) 2025-08-14T21:57:42.2727917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2727985Z yl = self.stages(x) 2025-08-14T21:57:42.2728191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2728258Z yl = self.stage3(xl) 2025-08-14T21:57:42.2728454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2728526Z x = module(x) 2025-08-14T21:57:42.2728726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2728799Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2729001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2729067Z x = self.act1(x) 2025-08-14T21:57:42.2729071Z 2025-08-14T21:57:42.2729185Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2729392Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2729489Z return mod(*inputs) 2025-08-14T21:57:42.2729726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2729798Z y = self.forward_features(x) 2025-08-14T21:57:42.2730031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2730096Z yl = self.stages(x) 2025-08-14T21:57:42.2730288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2730362Z yl = self.stage3(xl) 2025-08-14T21:57:42.2730582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2730646Z x = module(x) 2025-08-14T21:57:42.2730848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2730913Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2731123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2731189Z x = self.conv2(x) 2025-08-14T21:57:42.2731193Z 2025-08-14T21:57:42.2731298Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2731509Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2731576Z return mod(*inputs) 2025-08-14T21:57:42.2731773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2731855Z y = self.forward_features(x) 2025-08-14T21:57:42.2732086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2732159Z yl = self.stages(x) 2025-08-14T21:57:42.2732353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2732420Z yl = self.stage3(xl) 2025-08-14T21:57:42.2732624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2732688Z x = module(x) 2025-08-14T21:57:42.2732882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2732956Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2733156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2733248Z x = self.act2(x) 2025-08-14T21:57:42.2733252Z 2025-08-14T21:57:42.2733362Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2733569Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2733644Z return mod(*inputs) 2025-08-14T21:57:42.2733842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2733917Z y = self.forward_features(x) 2025-08-14T21:57:42.2734155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2734225Z yl = self.stages(x) 2025-08-14T21:57:42.2734427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2734498Z yl = self.stage3(xl) 2025-08-14T21:57:42.2734693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2734768Z x = module(x) 2025-08-14T21:57:42.2734967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2735036Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2735250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2735318Z x = self.conv1(x) 2025-08-14T21:57:42.2735321Z 2025-08-14T21:57:42.2735437Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2735662Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2735748Z return mod(*inputs) 2025-08-14T21:57:42.2735952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2736023Z y = self.forward_features(x) 2025-08-14T21:57:42.2736253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2736326Z yl = self.stages(x) 2025-08-14T21:57:42.2736520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2736611Z yl = self.stage3(xl) 2025-08-14T21:57:42.2736809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2736872Z x = module(x) 2025-08-14T21:57:42.2737073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2737141Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2737340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2737413Z x = self.act1(x) 2025-08-14T21:57:42.2737416Z 2025-08-14T21:57:42.2737522Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2737733Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2737801Z return mod(*inputs) 2025-08-14T21:57:42.2737995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2738078Z y = self.forward_features(x) 2025-08-14T21:57:42.2738305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2738373Z yl = self.stages(x) 2025-08-14T21:57:42.2738574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2738644Z yl = self.stage3(xl) 2025-08-14T21:57:42.2738844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2738906Z x = module(x) 2025-08-14T21:57:42.2739101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2739173Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2739394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2739461Z x = self.conv2(x) 2025-08-14T21:57:42.2739471Z 2025-08-14T21:57:42.2739582Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2739797Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2739871Z return mod(*inputs) 2025-08-14T21:57:42.2740065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2740142Z y = self.forward_features(x) 2025-08-14T21:57:42.2740376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2740443Z yl = self.stages(x) 2025-08-14T21:57:42.2740634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2740712Z yl = self.stage3(xl) 2025-08-14T21:57:42.2740909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2740979Z x = module(x) 2025-08-14T21:57:42.2741175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.2741237Z y = f(x[j]) 2025-08-14T21:57:42.2741241Z 2025-08-14T21:57:42.2741354Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2741578Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2741664Z return mod(*inputs) 2025-08-14T21:57:42.2741869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2741941Z y = self.forward_features(x) 2025-08-14T21:57:42.2742173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2742239Z yl = self.stages(x) 2025-08-14T21:57:42.2742431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2742506Z yl = self.stage3(xl) 2025-08-14T21:57:42.2742719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2742786Z x = module(x) 2025-08-14T21:57:42.2742986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.2743050Z y = f(x[j]) 2025-08-14T21:57:42.2743055Z 2025-08-14T21:57:42.2743168Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2743393Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2743458Z return mod(*inputs) 2025-08-14T21:57:42.2743656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2743729Z y = self.forward_features(x) 2025-08-14T21:57:42.2743956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2744027Z yl = self.stages(x) 2025-08-14T21:57:42.2744223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2744296Z yl = self.stage3(xl) 2025-08-14T21:57:42.2744490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2744554Z x = module(x) 2025-08-14T21:57:42.2744757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.2744817Z y = f(x[j]) 2025-08-14T21:57:42.2744820Z 2025-08-14T21:57:42.2744933Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2745159Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2745244Z return mod(*inputs) 2025-08-14T21:57:42.2745548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2745626Z y = self.forward_features(x) 2025-08-14T21:57:42.2745862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2745939Z yl = self.stages(x) 2025-08-14T21:57:42.2746140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2746221Z yl = self.stage3(xl) 2025-08-14T21:57:42.2746424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2746490Z x = module(x) 2025-08-14T21:57:42.2746707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2746770Z y = y + f(x[j]) 2025-08-14T21:57:42.2746774Z 2025-08-14T21:57:42.2746883Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2747097Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2747165Z return mod(*inputs) 2025-08-14T21:57:42.2747369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2747441Z y = self.forward_features(x) 2025-08-14T21:57:42.2747667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2747784Z yl = self.stages(x) 2025-08-14T21:57:42.2747988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2748058Z yl = self.stage3(xl) 2025-08-14T21:57:42.2748268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2748331Z x = module(x) 2025-08-14T21:57:42.2748535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2748607Z y = y + f(x[j]) 2025-08-14T21:57:42.2748611Z 2025-08-14T21:57:42.2748739Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2748960Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2749029Z return mod(*inputs) 2025-08-14T21:57:42.2749228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2749316Z y = self.forward_features(x) 2025-08-14T21:57:42.2749548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2749625Z yl = self.stages(x) 2025-08-14T21:57:42.2749824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2749895Z yl = self.stage3(xl) 2025-08-14T21:57:42.2750101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2750167Z x = module(x) 2025-08-14T21:57:42.2750368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2750442Z y = y + f(x[j]) 2025-08-14T21:57:42.2750445Z 2025-08-14T21:57:42.2750556Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2750776Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2750851Z return mod(*inputs) 2025-08-14T21:57:42.2751050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2751134Z y = self.forward_features(x) 2025-08-14T21:57:42.2751365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2751434Z yl = self.stages(x) 2025-08-14T21:57:42.2751656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2751726Z yl = self.stage3(xl) 2025-08-14T21:57:42.2751930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2751993Z x = module(x) 2025-08-14T21:57:42.2752185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:57:42.2752276Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:57:42.2752280Z 2025-08-14T21:57:42.2752388Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2752592Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2752666Z return mod(*inputs) 2025-08-14T21:57:42.2752860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2752941Z y = self.forward_features(x) 2025-08-14T21:57:42.2753165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2753229Z yl = self.stages(x) 2025-08-14T21:57:42.2753441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2753505Z yl = self.stage4(xl) 2025-08-14T21:57:42.2753688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2753785Z x = module(x) 2025-08-14T21:57:42.2753985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2754054Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2754246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2754306Z x = self.conv1(x) 2025-08-14T21:57:42.2754310Z 2025-08-14T21:57:42.2754418Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2754611Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2754674Z return mod(*inputs) 2025-08-14T21:57:42.2754898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2754973Z y = self.forward_features(x) 2025-08-14T21:57:42.2755211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2755278Z yl = self.stages(x) 2025-08-14T21:57:42.2755472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2755546Z yl = self.stage4(xl) 2025-08-14T21:57:42.2755741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2755804Z x = module(x) 2025-08-14T21:57:42.2756010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2756074Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2756282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2756345Z x = self.act1(x) 2025-08-14T21:57:42.2756349Z 2025-08-14T21:57:42.2756454Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2756672Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2756741Z return mod(*inputs) 2025-08-14T21:57:42.2756937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2757016Z y = self.forward_features(x) 2025-08-14T21:57:42.2757242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2757316Z yl = self.stages(x) 2025-08-14T21:57:42.2757527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2757597Z yl = self.stage4(xl) 2025-08-14T21:57:42.2757800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2757861Z x = module(x) 2025-08-14T21:57:42.2758055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2758127Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2758329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2758404Z x = self.conv2(x) 2025-08-14T21:57:42.2758407Z 2025-08-14T21:57:42.2758513Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2758731Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2758804Z return mod(*inputs) 2025-08-14T21:57:42.2759000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2759074Z y = self.forward_features(x) 2025-08-14T21:57:42.2759307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2759374Z yl = self.stages(x) 2025-08-14T21:57:42.2759577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2759664Z yl = self.stage4(xl) 2025-08-14T21:57:42.2759860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2759956Z x = module(x) 2025-08-14T21:57:42.2760140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2760203Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2760403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2760465Z x = self.act2(x) 2025-08-14T21:57:42.2760468Z 2025-08-14T21:57:42.2760575Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2760785Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2760852Z return mod(*inputs) 2025-08-14T21:57:42.2761045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2761115Z y = self.forward_features(x) 2025-08-14T21:57:42.2761331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2761406Z yl = self.stages(x) 2025-08-14T21:57:42.2761587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2761660Z yl = self.stage4(xl) 2025-08-14T21:57:42.2761848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2761908Z x = module(x) 2025-08-14T21:57:42.2762098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2762159Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2762348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2762418Z x = self.conv1(x) 2025-08-14T21:57:42.2762421Z 2025-08-14T21:57:42.2762523Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2762724Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2762787Z return mod(*inputs) 2025-08-14T21:57:42.2762972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2763046Z y = self.forward_features(x) 2025-08-14T21:57:42.2763277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2763342Z yl = self.stages(x) 2025-08-14T21:57:42.2763536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2763601Z yl = self.stage4(xl) 2025-08-14T21:57:42.2763794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2763854Z x = module(x) 2025-08-14T21:57:42.2764041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2764113Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2764306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2764367Z x = self.act1(x) 2025-08-14T21:57:42.2764372Z 2025-08-14T21:57:42.2764482Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2764680Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2764749Z return mod(*inputs) 2025-08-14T21:57:42.2764936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2765007Z y = self.forward_features(x) 2025-08-14T21:57:42.2765232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2765298Z yl = self.stages(x) 2025-08-14T21:57:42.2765510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2765610Z yl = self.stage4(xl) 2025-08-14T21:57:42.2765809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2765880Z x = module(x) 2025-08-14T21:57:42.2766077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2766143Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2766353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2766419Z x = self.conv2(x) 2025-08-14T21:57:42.2766422Z 2025-08-14T21:57:42.2766572Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2766788Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2766855Z return mod(*inputs) 2025-08-14T21:57:42.2767057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2767132Z y = self.forward_features(x) 2025-08-14T21:57:42.2767354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2767427Z yl = self.stages(x) 2025-08-14T21:57:42.2767619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2767688Z yl = self.stage4(xl) 2025-08-14T21:57:42.2767899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2767958Z x = module(x) 2025-08-14T21:57:42.2768151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2768213Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2768399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2768469Z x = self.act2(x) 2025-08-14T21:57:42.2768474Z 2025-08-14T21:57:42.2768574Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2768765Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2768836Z return mod(*inputs) 2025-08-14T21:57:42.2769018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2769113Z y = self.forward_features(x) 2025-08-14T21:57:42.2769330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2769394Z yl = self.stages(x) 2025-08-14T21:57:42.2769583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2769648Z yl = self.stage4(xl) 2025-08-14T21:57:42.2769828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2769897Z x = module(x) 2025-08-14T21:57:42.2770078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2770147Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2770333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2770396Z x = self.conv1(x) 2025-08-14T21:57:42.2770399Z 2025-08-14T21:57:42.2770508Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2770702Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2770766Z return mod(*inputs) 2025-08-14T21:57:42.2770956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2771024Z y = self.forward_features(x) 2025-08-14T21:57:42.2771244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2771341Z yl = self.stages(x) 2025-08-14T21:57:42.2771531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2771603Z yl = self.stage4(xl) 2025-08-14T21:57:42.2771793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2771852Z x = module(x) 2025-08-14T21:57:42.2772051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2772113Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2772331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2772395Z x = self.act1(x) 2025-08-14T21:57:42.2772398Z 2025-08-14T21:57:42.2772500Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2772706Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2772772Z return mod(*inputs) 2025-08-14T21:57:42.2772960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2773038Z y = self.forward_features(x) 2025-08-14T21:57:42.2773253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2773327Z yl = self.stages(x) 2025-08-14T21:57:42.2773516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2773581Z yl = self.stage4(xl) 2025-08-14T21:57:42.2773775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2773834Z x = module(x) 2025-08-14T21:57:42.2774019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2774091Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2774282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2774354Z x = self.conv2(x) 2025-08-14T21:57:42.2774357Z 2025-08-14T21:57:42.2774458Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2774653Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2774723Z return mod(*inputs) 2025-08-14T21:57:42.2774937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2775009Z y = self.forward_features(x) 2025-08-14T21:57:42.2775231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2775294Z yl = self.stages(x) 2025-08-14T21:57:42.2775495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2775561Z yl = self.stage4(xl) 2025-08-14T21:57:42.2775743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2775808Z x = module(x) 2025-08-14T21:57:42.2775989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2776049Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2776256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2776320Z x = self.act2(x) 2025-08-14T21:57:42.2776323Z 2025-08-14T21:57:42.2776441Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2776646Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2776713Z return mod(*inputs) 2025-08-14T21:57:42.2776917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2777012Z y = self.forward_features(x) 2025-08-14T21:57:42.2777258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2777331Z yl = self.stages(x) 2025-08-14T21:57:42.2777525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2777598Z yl = self.stage4(xl) 2025-08-14T21:57:42.2777807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2777869Z x = module(x) 2025-08-14T21:57:42.2778106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2778183Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2778372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2778442Z x = self.conv1(x) 2025-08-14T21:57:42.2778447Z 2025-08-14T21:57:42.2778549Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2778750Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2778813Z return mod(*inputs) 2025-08-14T21:57:42.2779001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2779076Z y = self.forward_features(x) 2025-08-14T21:57:42.2779292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2779355Z yl = self.stages(x) 2025-08-14T21:57:42.2779547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2779611Z yl = self.stage4(xl) 2025-08-14T21:57:42.2779803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2779863Z x = module(x) 2025-08-14T21:57:42.2780049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2780119Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2780307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2780367Z x = self.act1(x) 2025-08-14T21:57:42.2780377Z 2025-08-14T21:57:42.2780476Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2780690Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2780762Z return mod(*inputs) 2025-08-14T21:57:42.2780950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2781018Z y = self.forward_features(x) 2025-08-14T21:57:42.2781237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2781301Z yl = self.stages(x) 2025-08-14T21:57:42.2781485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2781557Z yl = self.stage4(xl) 2025-08-14T21:57:42.2781740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2781804Z x = module(x) 2025-08-14T21:57:42.2781986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2782050Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2782246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2782306Z x = self.conv2(x) 2025-08-14T21:57:42.2782312Z 2025-08-14T21:57:42.2782413Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2782617Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2782701Z return mod(*inputs) 2025-08-14T21:57:42.2782891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2782976Z y = self.forward_features(x) 2025-08-14T21:57:42.2783193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2783263Z yl = self.stages(x) 2025-08-14T21:57:42.2783452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2783516Z yl = self.stage4(xl) 2025-08-14T21:57:42.2783711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2783790Z x = module(x) 2025-08-14T21:57:42.2784003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2784070Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2784276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2784349Z x = self.act2(x) 2025-08-14T21:57:42.2784352Z 2025-08-14T21:57:42.2784458Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2784681Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2784748Z return mod(*inputs) 2025-08-14T21:57:42.2784953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2785035Z y = self.forward_features(x) 2025-08-14T21:57:42.2785260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2785401Z yl = self.stages(x) 2025-08-14T21:57:42.2785614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2785684Z yl = self.stage3(xl) 2025-08-14T21:57:42.2785889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2785966Z x = module(x) 2025-08-14T21:57:42.2786166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.2786238Z y = f(x[j]) 2025-08-14T21:57:42.2786242Z 2025-08-14T21:57:42.2786356Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2786604Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2786683Z return mod(*inputs) 2025-08-14T21:57:42.2786888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2786965Z y = self.forward_features(x) 2025-08-14T21:57:42.2787224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2787292Z yl = self.stages(x) 2025-08-14T21:57:42.2787498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2787570Z yl = self.stage3(xl) 2025-08-14T21:57:42.2787770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2787854Z x = module(x) 2025-08-14T21:57:42.2788041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2788101Z y = y + f(x[j]) 2025-08-14T21:57:42.2788114Z 2025-08-14T21:57:42.2788217Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2788412Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2788484Z return mod(*inputs) 2025-08-14T21:57:42.2788670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2788738Z y = self.forward_features(x) 2025-08-14T21:57:42.2788983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2789066Z yl = self.stages(x) 2025-08-14T21:57:42.2789257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2789323Z yl = self.stage3(xl) 2025-08-14T21:57:42.2789512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2789580Z x = module(x) 2025-08-14T21:57:42.2789761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2789820Z y = y + f(x[j]) 2025-08-14T21:57:42.2789824Z 2025-08-14T21:57:42.2789948Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2790143Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2790216Z return mod(*inputs) 2025-08-14T21:57:42.2790406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2790480Z y = self.forward_features(x) 2025-08-14T21:57:42.2790706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2790772Z yl = self.stages(x) 2025-08-14T21:57:42.2790959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:57:42.2791045Z yl = self.stage3(xl) 2025-08-14T21:57:42.2791228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2791298Z x = module(x) 2025-08-14T21:57:42.2791482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:57:42.2791563Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:57:42.2791567Z 2025-08-14T21:57:42.2791679Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2791878Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2791947Z return mod(*inputs) 2025-08-14T21:57:42.2792142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2792214Z y = self.forward_features(x) 2025-08-14T21:57:42.2792450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2792516Z yl = self.stages(x) 2025-08-14T21:57:42.2792698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2792772Z yl = self.stage4(xl) 2025-08-14T21:57:42.2792958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2793016Z x = module(x) 2025-08-14T21:57:42.2793204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2793269Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2793467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2793529Z x = self.conv1(x) 2025-08-14T21:57:42.2793531Z 2025-08-14T21:57:42.2793633Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2793836Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2793897Z return mod(*inputs) 2025-08-14T21:57:42.2794079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2794156Z y = self.forward_features(x) 2025-08-14T21:57:42.2794367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2794435Z yl = self.stages(x) 2025-08-14T21:57:42.2794614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2794711Z yl = self.stage4(xl) 2025-08-14T21:57:42.2794902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2794960Z x = module(x) 2025-08-14T21:57:42.2795141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2795210Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2795400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2795467Z x = self.act1(x) 2025-08-14T21:57:42.2795470Z 2025-08-14T21:57:42.2795598Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2795794Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2795865Z return mod(*inputs) 2025-08-14T21:57:42.2796050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2796123Z y = self.forward_features(x) 2025-08-14T21:57:42.2796345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2796410Z yl = self.stages(x) 2025-08-14T21:57:42.2796602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2796669Z yl = self.stage4(xl) 2025-08-14T21:57:42.2796856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2796922Z x = module(x) 2025-08-14T21:57:42.2797115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2797180Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2797388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2797455Z x = self.conv2(x) 2025-08-14T21:57:42.2797460Z 2025-08-14T21:57:42.2797574Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2797778Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2797844Z return mod(*inputs) 2025-08-14T21:57:42.2798047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2798137Z y = self.forward_features(x) 2025-08-14T21:57:42.2798363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2798440Z yl = self.stages(x) 2025-08-14T21:57:42.2798632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2798707Z yl = self.stage4(xl) 2025-08-14T21:57:42.2798901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2798967Z x = module(x) 2025-08-14T21:57:42.2799176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2799240Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2799428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2799498Z x = self.act2(x) 2025-08-14T21:57:42.2799502Z 2025-08-14T21:57:42.2799604Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2799805Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2799869Z return mod(*inputs) 2025-08-14T21:57:42.2800055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2800130Z y = self.forward_features(x) 2025-08-14T21:57:42.2800344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2800424Z yl = self.stages(x) 2025-08-14T21:57:42.2800637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2800702Z yl = self.stage4(xl) 2025-08-14T21:57:42.2800894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2800956Z x = module(x) 2025-08-14T21:57:42.2801151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2801223Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2801440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2801508Z x = self.conv1(x) 2025-08-14T21:57:42.2801512Z 2025-08-14T21:57:42.2801632Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2801826Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2801896Z return mod(*inputs) 2025-08-14T21:57:42.2802082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2802150Z y = self.forward_features(x) 2025-08-14T21:57:42.2802370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2802433Z yl = self.stages(x) 2025-08-14T21:57:42.2802616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2802689Z yl = self.stage4(xl) 2025-08-14T21:57:42.2802873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2802941Z x = module(x) 2025-08-14T21:57:42.2803127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2803189Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2803388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2803449Z x = self.act1(x) 2025-08-14T21:57:42.2803452Z 2025-08-14T21:57:42.2803552Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2803754Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2803818Z return mod(*inputs) 2025-08-14T21:57:42.2804027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2804099Z y = self.forward_features(x) 2025-08-14T21:57:42.2804318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2804388Z yl = self.stages(x) 2025-08-14T21:57:42.2804572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2804636Z yl = self.stage4(xl) 2025-08-14T21:57:42.2804830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2804891Z x = module(x) 2025-08-14T21:57:42.2805084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2805147Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2805341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2805409Z x = self.conv2(x) 2025-08-14T21:57:42.2805413Z 2025-08-14T21:57:42.2805515Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2805712Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2805785Z return mod(*inputs) 2025-08-14T21:57:42.2805982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2806110Z y = self.forward_features(x) 2025-08-14T21:57:42.2806339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2806423Z yl = self.stages(x) 2025-08-14T21:57:42.2806622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2806689Z yl = self.stage4(xl) 2025-08-14T21:57:42.2806885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2806955Z x = module(x) 2025-08-14T21:57:42.2807150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2807237Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2807436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2807499Z x = self.act2(x) 2025-08-14T21:57:42.2807502Z 2025-08-14T21:57:42.2807617Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2807824Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2807891Z return mod(*inputs) 2025-08-14T21:57:42.2808092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2808166Z y = self.forward_features(x) 2025-08-14T21:57:42.2808399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2808465Z yl = self.stages(x) 2025-08-14T21:57:42.2808659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2808736Z yl = self.stage4(xl) 2025-08-14T21:57:42.2808929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2808993Z x = module(x) 2025-08-14T21:57:42.2809194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2809261Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2809466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2809531Z x = self.conv1(x) 2025-08-14T21:57:42.2809535Z 2025-08-14T21:57:42.2809643Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2809870Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2809938Z return mod(*inputs) 2025-08-14T21:57:42.2810136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2810218Z y = self.forward_features(x) 2025-08-14T21:57:42.2810445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2810517Z yl = self.stages(x) 2025-08-14T21:57:42.2810712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2810782Z yl = self.stage4(xl) 2025-08-14T21:57:42.2810985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2811046Z x = module(x) 2025-08-14T21:57:42.2811239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2811313Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2811512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2811583Z x = self.act1(x) 2025-08-14T21:57:42.2811587Z 2025-08-14T21:57:42.2811696Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2811901Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2811976Z return mod(*inputs) 2025-08-14T21:57:42.2812191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2812283Z y = self.forward_features(x) 2025-08-14T21:57:42.2812523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2812590Z yl = self.stages(x) 2025-08-14T21:57:42.2812795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2812863Z yl = self.stage4(xl) 2025-08-14T21:57:42.2813064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2813133Z x = module(x) 2025-08-14T21:57:42.2813352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2813420Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2813629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2813696Z x = self.conv2(x) 2025-08-14T21:57:42.2813701Z 2025-08-14T21:57:42.2813813Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2814021Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2814088Z return mod(*inputs) 2025-08-14T21:57:42.2814294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2814370Z y = self.forward_features(x) 2025-08-14T21:57:42.2814599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2814675Z yl = self.stages(x) 2025-08-14T21:57:42.2814868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2814945Z yl = self.stage4(xl) 2025-08-14T21:57:42.2815140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2815205Z x = module(x) 2025-08-14T21:57:42.2815409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2815476Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2815679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2815751Z x = self.act2(x) 2025-08-14T21:57:42.2815754Z 2025-08-14T21:57:42.2815878Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2816093Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2816160Z return mod(*inputs) 2025-08-14T21:57:42.2816355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2816436Z y = self.forward_features(x) 2025-08-14T21:57:42.2816659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2816729Z yl = self.stages(x) 2025-08-14T21:57:42.2816934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2817002Z yl = self.stage4(xl) 2025-08-14T21:57:42.2817210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2817272Z x = module(x) 2025-08-14T21:57:42.2817471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2817545Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2817750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2817815Z x = self.conv1(x) 2025-08-14T21:57:42.2817818Z 2025-08-14T21:57:42.2817934Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2818168Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2818283Z return mod(*inputs) 2025-08-14T21:57:42.2818504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2818576Z y = self.forward_features(x) 2025-08-14T21:57:42.2818821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2818888Z yl = self.stages(x) 2025-08-14T21:57:42.2819079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2819155Z yl = self.stage4(xl) 2025-08-14T21:57:42.2819389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2819459Z x = module(x) 2025-08-14T21:57:42.2819676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2819743Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2819947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2820012Z x = self.act1(x) 2025-08-14T21:57:42.2820015Z 2025-08-14T21:57:42.2820123Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2820356Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2820423Z return mod(*inputs) 2025-08-14T21:57:42.2820622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2820695Z y = self.forward_features(x) 2025-08-14T21:57:42.2820933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2821007Z yl = self.stages(x) 2025-08-14T21:57:42.2821201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2821269Z yl = self.stage4(xl) 2025-08-14T21:57:42.2821471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2821533Z x = module(x) 2025-08-14T21:57:42.2821754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2821818Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2822033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2822109Z x = self.conv2(x) 2025-08-14T21:57:42.2822113Z 2025-08-14T21:57:42.2822221Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2822452Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2822527Z return mod(*inputs) 2025-08-14T21:57:42.2822726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2822811Z y = self.forward_features(x) 2025-08-14T21:57:42.2823043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2823110Z yl = self.stages(x) 2025-08-14T21:57:42.2823314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2823381Z yl = self.stage4(xl) 2025-08-14T21:57:42.2823593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2823664Z x = module(x) 2025-08-14T21:57:42.2823877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2823953Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2824159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2824224Z x = self.act2(x) 2025-08-14T21:57:42.2824245Z 2025-08-14T21:57:42.2824361Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2824585Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2824653Z return mod(*inputs) 2025-08-14T21:57:42.2824869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2824942Z y = self.forward_features(x) 2025-08-14T21:57:42.2825177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2825246Z yl = self.stages(x) 2025-08-14T21:57:42.2825540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2825626Z yl = self.stage4(xl) 2025-08-14T21:57:42.2825846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2825911Z x = module(x) 2025-08-14T21:57:42.2826126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2826193Z y = y + f(x[j]) 2025-08-14T21:57:42.2826197Z 2025-08-14T21:57:42.2826319Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2826552Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2826802Z return mod(*inputs) 2025-08-14T21:57:42.2827020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2827095Z y = self.forward_features(x) 2025-08-14T21:57:42.2827324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2827402Z yl = self.stages(x) 2025-08-14T21:57:42.2827593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2827674Z yl = self.stage4(xl) 2025-08-14T21:57:42.2827868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2827932Z x = module(x) 2025-08-14T21:57:42.2828134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2828199Z y = y + f(x[j]) 2025-08-14T21:57:42.2828203Z 2025-08-14T21:57:42.2828311Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2828577Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2828647Z return mod(*inputs) 2025-08-14T21:57:42.2828850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2828922Z y = self.forward_features(x) 2025-08-14T21:57:42.2829149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2829225Z yl = self.stages(x) 2025-08-14T21:57:42.2829418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2829489Z yl = self.stage4(xl) 2025-08-14T21:57:42.2829690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2829751Z x = module(x) 2025-08-14T21:57:42.2829957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2830023Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2830222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2830298Z x = self.conv1(x) 2025-08-14T21:57:42.2830301Z 2025-08-14T21:57:42.2830409Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2830622Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2830719Z return mod(*inputs) 2025-08-14T21:57:42.2830916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2831023Z y = self.forward_features(x) 2025-08-14T21:57:42.2831260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2831326Z yl = self.stages(x) 2025-08-14T21:57:42.2831538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2831606Z yl = self.stage4(xl) 2025-08-14T21:57:42.2831805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2831900Z x = module(x) 2025-08-14T21:57:42.2832096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2832170Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2832369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2832435Z x = self.act1(x) 2025-08-14T21:57:42.2832439Z 2025-08-14T21:57:42.2832552Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2832755Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2832825Z return mod(*inputs) 2025-08-14T21:57:42.2833022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2833094Z y = self.forward_features(x) 2025-08-14T21:57:42.2833327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2833394Z yl = self.stages(x) 2025-08-14T21:57:42.2833586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2833661Z yl = self.stage4(xl) 2025-08-14T21:57:42.2833857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2833920Z x = module(x) 2025-08-14T21:57:42.2834120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2834186Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2834394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2834491Z x = self.conv2(x) 2025-08-14T21:57:42.2834495Z 2025-08-14T21:57:42.2834605Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2834819Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2834885Z return mod(*inputs) 2025-08-14T21:57:42.2835091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2835167Z y = self.forward_features(x) 2025-08-14T21:57:42.2835399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2835473Z yl = self.stages(x) 2025-08-14T21:57:42.2835669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2835748Z yl = self.stage4(xl) 2025-08-14T21:57:42.2835942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2836002Z x = module(x) 2025-08-14T21:57:42.2836190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2836261Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2836455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2836527Z x = self.act2(x) 2025-08-14T21:57:42.2836530Z 2025-08-14T21:57:42.2836638Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2836863Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2836957Z return mod(*inputs) 2025-08-14T21:57:42.2837153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2837233Z y = self.forward_features(x) 2025-08-14T21:57:42.2837457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2837525Z yl = self.stages(x) 2025-08-14T21:57:42.2837723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2837790Z yl = self.stage4(xl) 2025-08-14T21:57:42.2838000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2838073Z x = module(x) 2025-08-14T21:57:42.2838270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2838336Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2838545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2838611Z x = self.conv1(x) 2025-08-14T21:57:42.2838615Z 2025-08-14T21:57:42.2838729Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2838936Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2839005Z return mod(*inputs) 2025-08-14T21:57:42.2839210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2839285Z y = self.forward_features(x) 2025-08-14T21:57:42.2839519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2839585Z yl = self.stages(x) 2025-08-14T21:57:42.2839788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2839861Z yl = self.stage4(xl) 2025-08-14T21:57:42.2840047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2840106Z x = module(x) 2025-08-14T21:57:42.2840299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2840360Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2840566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2840638Z x = self.act1(x) 2025-08-14T21:57:42.2840641Z 2025-08-14T21:57:42.2840742Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2840945Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2841007Z return mod(*inputs) 2025-08-14T21:57:42.2841190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2841270Z y = self.forward_features(x) 2025-08-14T21:57:42.2841482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2841553Z yl = self.stages(x) 2025-08-14T21:57:42.2841736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2841799Z yl = self.stage4(xl) 2025-08-14T21:57:42.2841993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2842053Z x = module(x) 2025-08-14T21:57:42.2842238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2842307Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2842495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2842592Z x = self.conv2(x) 2025-08-14T21:57:42.2842595Z 2025-08-14T21:57:42.2842715Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2842910Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2842981Z return mod(*inputs) 2025-08-14T21:57:42.2843166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2843235Z y = self.forward_features(x) 2025-08-14T21:57:42.2843461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2843524Z yl = self.stages(x) 2025-08-14T21:57:42.2843728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2843794Z yl = self.stage4(xl) 2025-08-14T21:57:42.2843977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2844044Z x = module(x) 2025-08-14T21:57:42.2844230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2844291Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2844490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2844550Z x = self.act2(x) 2025-08-14T21:57:42.2844553Z 2025-08-14T21:57:42.2844661Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2844856Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2844918Z return mod(*inputs) 2025-08-14T21:57:42.2845110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2845179Z y = self.forward_features(x) 2025-08-14T21:57:42.2845388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2845460Z yl = self.stages(x) 2025-08-14T21:57:42.2845644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2845714Z yl = self.stage4(xl) 2025-08-14T21:57:42.2845898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2845956Z x = module(x) 2025-08-14T21:57:42.2846164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2846227Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2846418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2846485Z x = self.conv1(x) 2025-08-14T21:57:42.2846488Z 2025-08-14T21:57:42.2846589Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2846790Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2846854Z return mod(*inputs) 2025-08-14T21:57:42.2847040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2847118Z y = self.forward_features(x) 2025-08-14T21:57:42.2847344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2847410Z yl = self.stages(x) 2025-08-14T21:57:42.2847612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2847679Z yl = self.stage4(xl) 2025-08-14T21:57:42.2847887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2847950Z x = module(x) 2025-08-14T21:57:42.2848144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2848218Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2848439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2848521Z x = self.act1(x) 2025-08-14T21:57:42.2848524Z 2025-08-14T21:57:42.2848643Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2848852Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2848926Z return mod(*inputs) 2025-08-14T21:57:42.2849129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2849203Z y = self.forward_features(x) 2025-08-14T21:57:42.2849463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2849532Z yl = self.stages(x) 2025-08-14T21:57:42.2849730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2849806Z yl = self.stage4(xl) 2025-08-14T21:57:42.2849991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2850059Z x = module(x) 2025-08-14T21:57:42.2850244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2850305Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2850501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2850564Z x = self.conv2(x) 2025-08-14T21:57:42.2850567Z 2025-08-14T21:57:42.2850669Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2850872Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2850937Z return mod(*inputs) 2025-08-14T21:57:42.2851129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2851199Z y = self.forward_features(x) 2025-08-14T21:57:42.2851413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2851489Z yl = self.stages(x) 2025-08-14T21:57:42.2851671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2851735Z yl = self.stage4(xl) 2025-08-14T21:57:42.2851946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2852006Z x = module(x) 2025-08-14T21:57:42.2852197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2852261Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2852452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2852519Z x = self.act2(x) 2025-08-14T21:57:42.2852522Z 2025-08-14T21:57:42.2852625Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2852822Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2852894Z return mod(*inputs) 2025-08-14T21:57:42.2853081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2853157Z y = self.forward_features(x) 2025-08-14T21:57:42.2853374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2853435Z yl = self.stages(x) 2025-08-14T21:57:42.2853626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2853692Z yl = self.stage4(xl) 2025-08-14T21:57:42.2853878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2853944Z x = module(x) 2025-08-14T21:57:42.2854131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2854232Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2854426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2854487Z x = self.conv1(x) 2025-08-14T21:57:42.2854490Z 2025-08-14T21:57:42.2854600Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2854801Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2854864Z return mod(*inputs) 2025-08-14T21:57:42.2855062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2855149Z y = self.forward_features(x) 2025-08-14T21:57:42.2855371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2855433Z yl = self.stages(x) 2025-08-14T21:57:42.2855618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2855690Z yl = self.stage4(xl) 2025-08-14T21:57:42.2855873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2855931Z x = module(x) 2025-08-14T21:57:42.2856125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2856190Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2856387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2856449Z x = self.act1(x) 2025-08-14T21:57:42.2856453Z 2025-08-14T21:57:42.2856561Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2856768Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2856834Z return mod(*inputs) 2025-08-14T21:57:42.2857030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2857113Z y = self.forward_features(x) 2025-08-14T21:57:42.2857339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2857411Z yl = self.stages(x) 2025-08-14T21:57:42.2857602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2857688Z yl = self.stage4(xl) 2025-08-14T21:57:42.2857892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2857955Z x = module(x) 2025-08-14T21:57:42.2858152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2858226Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2858429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2858499Z x = self.conv2(x) 2025-08-14T21:57:42.2858503Z 2025-08-14T21:57:42.2858605Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2858797Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2858868Z return mod(*inputs) 2025-08-14T21:57:42.2859054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2859123Z y = self.forward_features(x) 2025-08-14T21:57:42.2859343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2859404Z yl = self.stages(x) 2025-08-14T21:57:42.2859596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2859661Z yl = self.stage4(xl) 2025-08-14T21:57:42.2859847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2859936Z x = module(x) 2025-08-14T21:57:42.2860136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2860197Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2860395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2860454Z x = self.act2(x) 2025-08-14T21:57:42.2860458Z 2025-08-14T21:57:42.2860567Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2860762Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2860827Z return mod(*inputs) 2025-08-14T21:57:42.2861048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2861124Z y = self.forward_features(x) 2025-08-14T21:57:42.2861352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2861433Z yl = self.stages(x) 2025-08-14T21:57:42.2861629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2861703Z yl = self.stage4(xl) 2025-08-14T21:57:42.2861907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2861969Z x = module(x) 2025-08-14T21:57:42.2862190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2862251Z y = y + f(x[j]) 2025-08-14T21:57:42.2862254Z 2025-08-14T21:57:42.2862359Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2862564Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2862629Z return mod(*inputs) 2025-08-14T21:57:42.2862821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2862893Z y = self.forward_features(x) 2025-08-14T21:57:42.2863112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2863180Z yl = self.stages(x) 2025-08-14T21:57:42.2863363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2863426Z yl = self.stage4(xl) 2025-08-14T21:57:42.2863646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2863709Z x = module(x) 2025-08-14T21:57:42.2863910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2863974Z y = y + f(x[j]) 2025-08-14T21:57:42.2863977Z 2025-08-14T21:57:42.2864084Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2864300Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2864368Z return mod(*inputs) 2025-08-14T21:57:42.2864561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2864642Z y = self.forward_features(x) 2025-08-14T21:57:42.2864869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2864941Z yl = self.stages(x) 2025-08-14T21:57:42.2865140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 756, in stages 2025-08-14T21:57:42.2865423Z xl = [t(yl[-1]) if not isinstance(t, nn.Identity) else yl[i] for i, t in enumerate(self.transition3)] 2025-08-14T21:57:42.2865665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 756, in 2025-08-14T21:57:42.2865856Z xl = [t(yl[-1]) if not isinstance(t, nn.Identity) else yl[i] for i, t in enumerate(self.transition3)] 2025-08-14T21:57:42.2865888Z 2025-08-14T21:57:42.2866031Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2866249Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2866332Z return mod(*inputs) 2025-08-14T21:57:42.2866541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2866618Z y = self.forward_features(x) 2025-08-14T21:57:42.2866852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2866932Z yl = self.stages(x) 2025-08-14T21:57:42.2867148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 756, in stages 2025-08-14T21:57:42.2867335Z xl = [t(yl[-1]) if not isinstance(t, nn.Identity) else yl[i] for i, t in enumerate(self.transition3)] 2025-08-14T21:57:42.2867544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 756, in 2025-08-14T21:57:42.2867716Z xl = [t(yl[-1]) if not isinstance(t, nn.Identity) else yl[i] for i, t in enumerate(self.transition3)] 2025-08-14T21:57:42.2867720Z 2025-08-14T21:57:42.2867843Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2868040Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2868115Z return mod(*inputs) 2025-08-14T21:57:42.2868306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2868379Z y = self.forward_features(x) 2025-08-14T21:57:42.2868606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2868672Z yl = self.stages(x) 2025-08-14T21:57:42.2868858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2868936Z yl = self.stage4(xl) 2025-08-14T21:57:42.2869126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2869193Z x = module(x) 2025-08-14T21:57:42.2869381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2869447Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2869664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2869728Z x = self.conv1(x) 2025-08-14T21:57:42.2869731Z 2025-08-14T21:57:42.2869832Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2870034Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2870097Z return mod(*inputs) 2025-08-14T21:57:42.2870290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2870360Z y = self.forward_features(x) 2025-08-14T21:57:42.2870576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2870642Z yl = self.stages(x) 2025-08-14T21:57:42.2870826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2870890Z yl = self.stage4(xl) 2025-08-14T21:57:42.2871085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2871144Z x = module(x) 2025-08-14T21:57:42.2871336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2871399Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2871589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2871656Z x = self.act1(x) 2025-08-14T21:57:42.2872000Z 2025-08-14T21:57:42.2872105Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2872319Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2872390Z return mod(*inputs) 2025-08-14T21:57:42.2872575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2872653Z y = self.forward_features(x) 2025-08-14T21:57:42.2872867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2872931Z yl = self.stages(x) 2025-08-14T21:57:42.2873138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2873207Z yl = self.stage4(xl) 2025-08-14T21:57:42.2873395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2873465Z x = module(x) 2025-08-14T21:57:42.2873654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2873730Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2873926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2873987Z x = self.conv2(x) 2025-08-14T21:57:42.2873990Z 2025-08-14T21:57:42.2874100Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2874299Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2874364Z return mod(*inputs) 2025-08-14T21:57:42.2874562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2874632Z y = self.forward_features(x) 2025-08-14T21:57:42.2874855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2874920Z yl = self.stages(x) 2025-08-14T21:57:42.2875106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2875181Z yl = self.stage4(xl) 2025-08-14T21:57:42.2875369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2875428Z x = module(x) 2025-08-14T21:57:42.2875621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2875702Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2875902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2875963Z x = self.act2(x) 2025-08-14T21:57:42.2875968Z 2025-08-14T21:57:42.2876069Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2876267Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2876331Z return mod(*inputs) 2025-08-14T21:57:42.2876513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2876590Z y = self.forward_features(x) 2025-08-14T21:57:42.2876801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2876869Z yl = self.stages(x) 2025-08-14T21:57:42.2877051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2877115Z yl = self.stage4(xl) 2025-08-14T21:57:42.2877307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2877369Z x = module(x) 2025-08-14T21:57:42.2877550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2877618Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2877807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2877906Z x = self.conv1(x) 2025-08-14T21:57:42.2877909Z 2025-08-14T21:57:42.2878010Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2878208Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2878279Z return mod(*inputs) 2025-08-14T21:57:42.2878470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2878538Z y = self.forward_features(x) 2025-08-14T21:57:42.2878766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2878842Z yl = self.stages(x) 2025-08-14T21:57:42.2879033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2879097Z yl = self.stage4(xl) 2025-08-14T21:57:42.2879278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2879349Z x = module(x) 2025-08-14T21:57:42.2879532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2879594Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2879789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2879848Z x = self.act1(x) 2025-08-14T21:57:42.2879854Z 2025-08-14T21:57:42.2879963Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2880157Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2880221Z return mod(*inputs) 2025-08-14T21:57:42.2880412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2880480Z y = self.forward_features(x) 2025-08-14T21:57:42.2880701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2880772Z yl = self.stages(x) 2025-08-14T21:57:42.2880951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2881024Z yl = self.stage4(xl) 2025-08-14T21:57:42.2881204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2881278Z x = module(x) 2025-08-14T21:57:42.2881470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2881530Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2881720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2881791Z x = self.conv2(x) 2025-08-14T21:57:42.2881794Z 2025-08-14T21:57:42.2881895Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2882097Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2882160Z return mod(*inputs) 2025-08-14T21:57:42.2882342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2882418Z y = self.forward_features(x) 2025-08-14T21:57:42.2882626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2882689Z yl = self.stages(x) 2025-08-14T21:57:42.2882879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2882943Z yl = self.stage4(xl) 2025-08-14T21:57:42.2883133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2883191Z x = module(x) 2025-08-14T21:57:42.2883374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2883462Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2883670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2883730Z x = self.act2(x) 2025-08-14T21:57:42.2883733Z 2025-08-14T21:57:42.2883844Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2884046Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2884118Z return mod(*inputs) 2025-08-14T21:57:42.2884303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2884372Z y = self.forward_features(x) 2025-08-14T21:57:42.2884619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2884682Z yl = self.stages(x) 2025-08-14T21:57:42.2884864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2884938Z yl = self.stage4(xl) 2025-08-14T21:57:42.2885123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2885188Z x = module(x) 2025-08-14T21:57:42.2885372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2885433Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2885635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2885698Z x = self.conv1(x) 2025-08-14T21:57:42.2885701Z 2025-08-14T21:57:42.2885803Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2886005Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2886068Z return mod(*inputs) 2025-08-14T21:57:42.2886259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2886331Z y = self.forward_features(x) 2025-08-14T21:57:42.2886545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2886615Z yl = self.stages(x) 2025-08-14T21:57:42.2886799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2886863Z yl = self.stage4(xl) 2025-08-14T21:57:42.2887072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2887132Z x = module(x) 2025-08-14T21:57:42.2887327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2887390Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2887586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2887655Z x = self.act1(x) 2025-08-14T21:57:42.2887658Z 2025-08-14T21:57:42.2887759Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2887959Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2888031Z return mod(*inputs) 2025-08-14T21:57:42.2888229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2888310Z y = self.forward_features(x) 2025-08-14T21:57:42.2888551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2888615Z yl = self.stages(x) 2025-08-14T21:57:42.2888809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2888876Z yl = self.stage4(xl) 2025-08-14T21:57:42.2889062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2889151Z x = module(x) 2025-08-14T21:57:42.2889350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2889441Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2889644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2889709Z x = self.conv2(x) 2025-08-14T21:57:42.2889712Z 2025-08-14T21:57:42.2889825Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2890035Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2890100Z return mod(*inputs) 2025-08-14T21:57:42.2890326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2890401Z y = self.forward_features(x) 2025-08-14T21:57:42.2890633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2890702Z yl = self.stages(x) 2025-08-14T21:57:42.2890897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2890974Z yl = self.stage4(xl) 2025-08-14T21:57:42.2891167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2891229Z x = module(x) 2025-08-14T21:57:42.2891431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2891498Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2891706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2891772Z x = self.act2(x) 2025-08-14T21:57:42.2891777Z 2025-08-14T21:57:42.2891885Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2892097Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2892166Z return mod(*inputs) 2025-08-14T21:57:42.2892366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2892450Z y = self.forward_features(x) 2025-08-14T21:57:42.2892683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2892757Z yl = self.stages(x) 2025-08-14T21:57:42.2892975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2893047Z yl = self.stage4(xl) 2025-08-14T21:57:42.2893258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2893324Z x = module(x) 2025-08-14T21:57:42.2893525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2893601Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2893812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2893885Z x = self.conv1(x) 2025-08-14T21:57:42.2893888Z 2025-08-14T21:57:42.2893999Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2894211Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2894285Z return mod(*inputs) 2025-08-14T21:57:42.2894488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2894563Z y = self.forward_features(x) 2025-08-14T21:57:42.2894806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2894874Z yl = self.stages(x) 2025-08-14T21:57:42.2895077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2895146Z yl = self.stage4(xl) 2025-08-14T21:57:42.2895364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2895453Z x = module(x) 2025-08-14T21:57:42.2895652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2895718Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2895932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2895998Z x = self.act1(x) 2025-08-14T21:57:42.2896001Z 2025-08-14T21:57:42.2896119Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2896348Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2896417Z return mod(*inputs) 2025-08-14T21:57:42.2896628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2896701Z y = self.forward_features(x) 2025-08-14T21:57:42.2896938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2897015Z yl = self.stages(x) 2025-08-14T21:57:42.2897224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2897299Z yl = self.stage4(xl) 2025-08-14T21:57:42.2897495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2897558Z x = module(x) 2025-08-14T21:57:42.2897764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2897828Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2898035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2898106Z x = self.conv2(x) 2025-08-14T21:57:42.2898110Z 2025-08-14T21:57:42.2898216Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2898430Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2898498Z return mod(*inputs) 2025-08-14T21:57:42.2898694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2898775Z y = self.forward_features(x) 2025-08-14T21:57:42.2899049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2899117Z yl = self.stages(x) 2025-08-14T21:57:42.2899321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2899391Z yl = self.stage4(xl) 2025-08-14T21:57:42.2899596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2899659Z x = module(x) 2025-08-14T21:57:42.2899858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.2899931Z y = f(x[j]) 2025-08-14T21:57:42.2899934Z 2025-08-14T21:57:42.2900041Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2900250Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2900323Z return mod(*inputs) 2025-08-14T21:57:42.2900525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2900607Z y = self.forward_features(x) 2025-08-14T21:57:42.2900840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2900907Z yl = self.stages(x) 2025-08-14T21:57:42.2901111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2901178Z yl = self.stage4(xl) 2025-08-14T21:57:42.2901387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2901492Z x = module(x) 2025-08-14T21:57:42.2901700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.2901771Z y = f(x[j]) 2025-08-14T21:57:42.2901775Z 2025-08-14T21:57:42.2901885Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2902104Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2902182Z return mod(*inputs) 2025-08-14T21:57:42.2902396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2902486Z y = self.forward_features(x) 2025-08-14T21:57:42.2902723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2902789Z yl = self.stages(x) 2025-08-14T21:57:42.2902992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2903062Z yl = self.stage4(xl) 2025-08-14T21:57:42.2903277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2903345Z x = module(x) 2025-08-14T21:57:42.2903554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.2903615Z y = f(x[j]) 2025-08-14T21:57:42.2903628Z 2025-08-14T21:57:42.2903734Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2903949Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2904023Z return mod(*inputs) 2025-08-14T21:57:42.2904231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2904302Z y = self.forward_features(x) 2025-08-14T21:57:42.2904539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2904608Z yl = self.stages(x) 2025-08-14T21:57:42.2904800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2904876Z yl = self.stage4(xl) 2025-08-14T21:57:42.2905083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2905153Z x = module(x) 2025-08-14T21:57:42.2905465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.2905533Z y = f(x[j]) 2025-08-14T21:57:42.2905537Z 2025-08-14T21:57:42.2905655Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2905875Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2905951Z return mod(*inputs) 2025-08-14T21:57:42.2906148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2906225Z y = self.forward_features(x) 2025-08-14T21:57:42.2906466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2906536Z yl = self.stages(x) 2025-08-14T21:57:42.2906737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2906829Z yl = self.stage4(xl) 2025-08-14T21:57:42.2907025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2907090Z x = module(x) 2025-08-14T21:57:42.2907304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.2907366Z y = f(x[j]) 2025-08-14T21:57:42.2907369Z 2025-08-14T21:57:42.2907483Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2907713Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2907808Z return mod(*inputs) 2025-08-14T21:57:42.2908014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2908087Z y = self.forward_features(x) 2025-08-14T21:57:42.2908327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2908394Z yl = self.stages(x) 2025-08-14T21:57:42.2908588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2908661Z yl = self.stage4(xl) 2025-08-14T21:57:42.2908886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2908944Z x = module(x) 2025-08-14T21:57:42.2909132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2909191Z y = y + f(x[j]) 2025-08-14T21:57:42.2909196Z 2025-08-14T21:57:42.2909299Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2909489Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2909551Z return mod(*inputs) 2025-08-14T21:57:42.2909737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2909805Z y = self.forward_features(x) 2025-08-14T21:57:42.2910017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2910087Z yl = self.stages(x) 2025-08-14T21:57:42.2910270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2910342Z yl = self.stage4(xl) 2025-08-14T21:57:42.2910532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2910592Z x = module(x) 2025-08-14T21:57:42.2910786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2910846Z y = y + f(x[j]) 2025-08-14T21:57:42.2910850Z 2025-08-14T21:57:42.2910950Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2911156Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2911235Z return mod(*inputs) 2025-08-14T21:57:42.2911428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2911498Z y = self.forward_features(x) 2025-08-14T21:57:42.2911710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2911779Z yl = self.stages(x) 2025-08-14T21:57:42.2911962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2912029Z yl = self.stage4(xl) 2025-08-14T21:57:42.2912220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2912279Z x = module(x) 2025-08-14T21:57:42.2912470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2912530Z y = y + f(x[j]) 2025-08-14T21:57:42.2912534Z 2025-08-14T21:57:42.2912637Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2912838Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2912903Z return mod(*inputs) 2025-08-14T21:57:42.2913087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2913163Z y = self.forward_features(x) 2025-08-14T21:57:42.2913376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2913478Z yl = self.stages(x) 2025-08-14T21:57:42.2913663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2913728Z yl = self.stage4(xl) 2025-08-14T21:57:42.2913922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2913981Z x = module(x) 2025-08-14T21:57:42.2914170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2914237Z y = y + f(x[j]) 2025-08-14T21:57:42.2914240Z 2025-08-14T21:57:42.2914358Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2914560Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2914623Z return mod(*inputs) 2025-08-14T21:57:42.2914806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2914884Z y = self.forward_features(x) 2025-08-14T21:57:42.2915093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2915155Z yl = self.stages(x) 2025-08-14T21:57:42.2915343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2915406Z yl = self.stage4(xl) 2025-08-14T21:57:42.2915604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2915666Z x = module(x) 2025-08-14T21:57:42.2915862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2915931Z y = y + f(x[j]) 2025-08-14T21:57:42.2915934Z 2025-08-14T21:57:42.2916039Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2916244Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2916320Z return mod(*inputs) 2025-08-14T21:57:42.2916515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2916594Z y = self.forward_features(x) 2025-08-14T21:57:42.2916819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2916901Z yl = self.stages(x) 2025-08-14T21:57:42.2917107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2917173Z yl = self.stage4(xl) 2025-08-14T21:57:42.2917368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2917451Z x = module(x) 2025-08-14T21:57:42.2917635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2917702Z y = y + f(x[j]) 2025-08-14T21:57:42.2917705Z 2025-08-14T21:57:42.2917808Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2918001Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2918072Z return mod(*inputs) 2025-08-14T21:57:42.2918257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2918328Z y = self.forward_features(x) 2025-08-14T21:57:42.2918550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2918613Z yl = self.stages(x) 2025-08-14T21:57:42.2918803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2918868Z yl = self.stage4(xl) 2025-08-14T21:57:42.2919053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2919139Z x = module(x) 2025-08-14T21:57:42.2919339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:57:42.2919414Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:57:42.2919418Z 2025-08-14T21:57:42.2919527Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2919720Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2919790Z return mod(*inputs) 2025-08-14T21:57:42.2919975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2920042Z y = self.forward_features(x) 2025-08-14T21:57:42.2920278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2920343Z yl = self.stages(x) 2025-08-14T21:57:42.2920526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2920602Z yl = self.stage4(xl) 2025-08-14T21:57:42.2920786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2920850Z x = module(x) 2025-08-14T21:57:42.2921032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2921094Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2921291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2921351Z x = self.conv1(x) 2025-08-14T21:57:42.2921357Z 2025-08-14T21:57:42.2921460Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2921660Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2921723Z return mod(*inputs) 2025-08-14T21:57:42.2921913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2921985Z y = self.forward_features(x) 2025-08-14T21:57:42.2922199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2922269Z yl = self.stages(x) 2025-08-14T21:57:42.2922450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2922515Z yl = self.stage4(xl) 2025-08-14T21:57:42.2922727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2922788Z x = module(x) 2025-08-14T21:57:42.2922981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2923043Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2923233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2923302Z x = self.act1(x) 2025-08-14T21:57:42.2923306Z 2025-08-14T21:57:42.2923407Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2923600Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2923670Z return mod(*inputs) 2025-08-14T21:57:42.2923857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2923931Z y = self.forward_features(x) 2025-08-14T21:57:42.2924146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2924209Z yl = self.stages(x) 2025-08-14T21:57:42.2924400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2924464Z yl = self.stage4(xl) 2025-08-14T21:57:42.2924650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2924737Z x = module(x) 2025-08-14T21:57:42.2924922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2925011Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2925208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2925269Z x = self.conv2(x) 2025-08-14T21:57:42.2925272Z 2025-08-14T21:57:42.2925381Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2925579Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2925642Z return mod(*inputs) 2025-08-14T21:57:42.2925854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2925924Z y = self.forward_features(x) 2025-08-14T21:57:42.2926148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2926215Z yl = self.stages(x) 2025-08-14T21:57:42.2926402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2926474Z yl = self.stage4(xl) 2025-08-14T21:57:42.2926786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2926852Z x = module(x) 2025-08-14T21:57:42.2927054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2927117Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2927318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2927382Z x = self.act2(x) 2025-08-14T21:57:42.2927387Z 2025-08-14T21:57:42.2927490Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2927693Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2927758Z return mod(*inputs) 2025-08-14T21:57:42.2927943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2928025Z y = self.forward_features(x) 2025-08-14T21:57:42.2928241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2928312Z yl = self.stages(x) 2025-08-14T21:57:42.2928538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2928606Z yl = self.stage4(xl) 2025-08-14T21:57:42.2928798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2928857Z x = module(x) 2025-08-14T21:57:42.2929041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2929110Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2929300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2929372Z x = self.conv1(x) 2025-08-14T21:57:42.2929374Z 2025-08-14T21:57:42.2929476Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2929669Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2929739Z return mod(*inputs) 2025-08-14T21:57:42.2929922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2929992Z y = self.forward_features(x) 2025-08-14T21:57:42.2930217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2930281Z yl = self.stages(x) 2025-08-14T21:57:42.2930473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2930538Z yl = self.stage4(xl) 2025-08-14T21:57:42.2930759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2930851Z x = module(x) 2025-08-14T21:57:42.2931035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2931096Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2931290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2931352Z x = self.act1(x) 2025-08-14T21:57:42.2931356Z 2025-08-14T21:57:42.2931463Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2931681Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2931746Z return mod(*inputs) 2025-08-14T21:57:42.2931938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2932006Z y = self.forward_features(x) 2025-08-14T21:57:42.2932224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2932298Z yl = self.stages(x) 2025-08-14T21:57:42.2932484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2932557Z yl = self.stage4(xl) 2025-08-14T21:57:42.2932738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2932799Z x = module(x) 2025-08-14T21:57:42.2932992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2933053Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2933250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2933316Z x = self.conv2(x) 2025-08-14T21:57:42.2933320Z 2025-08-14T21:57:42.2933418Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2933612Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2933675Z return mod(*inputs) 2025-08-14T21:57:42.2933855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2933927Z y = self.forward_features(x) 2025-08-14T21:57:42.2934151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2934214Z yl = self.stages(x) 2025-08-14T21:57:42.2934405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2934469Z yl = self.stage4(xl) 2025-08-14T21:57:42.2934663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2934721Z x = module(x) 2025-08-14T21:57:42.2934902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2934974Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2935161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2935221Z x = self.act2(x) 2025-08-14T21:57:42.2935231Z 2025-08-14T21:57:42.2935330Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2935522Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2935593Z return mod(*inputs) 2025-08-14T21:57:42.2935780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2935851Z y = self.forward_features(x) 2025-08-14T21:57:42.2936074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2936136Z yl = self.stages(x) 2025-08-14T21:57:42.2936333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2936442Z yl = self.stage4(xl) 2025-08-14T21:57:42.2936639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2936708Z x = module(x) 2025-08-14T21:57:42.2936909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2936975Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2937191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2937255Z x = self.conv1(x) 2025-08-14T21:57:42.2937258Z 2025-08-14T21:57:42.2937386Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2937601Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2937668Z return mod(*inputs) 2025-08-14T21:57:42.2937873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2937949Z y = self.forward_features(x) 2025-08-14T21:57:42.2938177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2938259Z yl = self.stages(x) 2025-08-14T21:57:42.2938445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2938511Z yl = self.stage4(xl) 2025-08-14T21:57:42.2938704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2938763Z x = module(x) 2025-08-14T21:57:42.2938957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2939017Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2939207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2939276Z x = self.act1(x) 2025-08-14T21:57:42.2939281Z 2025-08-14T21:57:42.2939381Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2939578Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2939652Z return mod(*inputs) 2025-08-14T21:57:42.2939846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2939941Z y = self.forward_features(x) 2025-08-14T21:57:42.2940177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2940241Z yl = self.stages(x) 2025-08-14T21:57:42.2940432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2940497Z yl = self.stage4(xl) 2025-08-14T21:57:42.2940679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2940749Z x = module(x) 2025-08-14T21:57:42.2940944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2941016Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2941214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2941277Z x = self.conv2(x) 2025-08-14T21:57:42.2941281Z 2025-08-14T21:57:42.2941398Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2941598Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2941665Z return mod(*inputs) 2025-08-14T21:57:42.2941866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2941940Z y = self.forward_features(x) 2025-08-14T21:57:42.2942171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2942267Z yl = self.stages(x) 2025-08-14T21:57:42.2942478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2942555Z yl = self.stage4(xl) 2025-08-14T21:57:42.2942762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2942823Z x = module(x) 2025-08-14T21:57:42.2943041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2943106Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2943330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2943397Z x = self.act2(x) 2025-08-14T21:57:42.2943401Z 2025-08-14T21:57:42.2943509Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2943724Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2943793Z return mod(*inputs) 2025-08-14T21:57:42.2943995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2944078Z y = self.forward_features(x) 2025-08-14T21:57:42.2944305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2944380Z yl = self.stages(x) 2025-08-14T21:57:42.2944587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2944656Z yl = self.stage4(xl) 2025-08-14T21:57:42.2944858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2944920Z x = module(x) 2025-08-14T21:57:42.2945131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2945203Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2945475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2945557Z x = self.conv1(x) 2025-08-14T21:57:42.2945561Z 2025-08-14T21:57:42.2945670Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2945891Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2945968Z return mod(*inputs) 2025-08-14T21:57:42.2946193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2946280Z y = self.forward_features(x) 2025-08-14T21:57:42.2946514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2946594Z yl = self.stages(x) 2025-08-14T21:57:42.2946795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2946866Z yl = self.stage4(xl) 2025-08-14T21:57:42.2947080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2947156Z x = module(x) 2025-08-14T21:57:42.2947367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2947432Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2947642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2947706Z x = self.act1(x) 2025-08-14T21:57:42.2947711Z 2025-08-14T21:57:42.2947827Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2948058Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2948124Z return mod(*inputs) 2025-08-14T21:57:42.2948326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2948420Z y = self.forward_features(x) 2025-08-14T21:57:42.2948657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2948742Z yl = self.stages(x) 2025-08-14T21:57:42.2948944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2949020Z yl = self.stage4(xl) 2025-08-14T21:57:42.2949232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2949295Z x = module(x) 2025-08-14T21:57:42.2949497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2949578Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2949784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2949860Z x = self.conv2(x) 2025-08-14T21:57:42.2949863Z 2025-08-14T21:57:42.2949971Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2950184Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2950251Z return mod(*inputs) 2025-08-14T21:57:42.2950458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2950540Z y = self.forward_features(x) 2025-08-14T21:57:42.2950769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2950843Z yl = self.stages(x) 2025-08-14T21:57:42.2951054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2951122Z yl = self.stage4(xl) 2025-08-14T21:57:42.2951326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2951389Z x = module(x) 2025-08-14T21:57:42.2951586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2951661Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2951863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2951927Z x = self.act2(x) 2025-08-14T21:57:42.2951939Z 2025-08-14T21:57:42.2952045Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2952292Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2952369Z return mod(*inputs) 2025-08-14T21:57:42.2952576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2952658Z y = self.forward_features(x) 2025-08-14T21:57:42.2952889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2952955Z yl = self.stages(x) 2025-08-14T21:57:42.2953154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2953223Z yl = self.stage4(xl) 2025-08-14T21:57:42.2953436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2953504Z x = module(x) 2025-08-14T21:57:42.2953696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.2953760Z y = f(x[j]) 2025-08-14T21:57:42.2953763Z 2025-08-14T21:57:42.2953877Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2954079Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2954152Z return mod(*inputs) 2025-08-14T21:57:42.2954344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2954416Z y = self.forward_features(x) 2025-08-14T21:57:42.2954671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2954755Z yl = self.stages(x) 2025-08-14T21:57:42.2954947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2955022Z yl = self.stage4(xl) 2025-08-14T21:57:42.2955216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2955287Z x = module(x) 2025-08-14T21:57:42.2955481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2955544Z y = y + f(x[j]) 2025-08-14T21:57:42.2955563Z 2025-08-14T21:57:42.2955680Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2955885Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2955951Z return mod(*inputs) 2025-08-14T21:57:42.2956156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2956230Z y = self.forward_features(x) 2025-08-14T21:57:42.2956463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2956530Z yl = self.stages(x) 2025-08-14T21:57:42.2956723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2956797Z yl = self.stage4(xl) 2025-08-14T21:57:42.2956990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2957052Z x = module(x) 2025-08-14T21:57:42.2957254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2957315Z y = y + f(x[j]) 2025-08-14T21:57:42.2957318Z 2025-08-14T21:57:42.2957432Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2957637Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2957704Z return mod(*inputs) 2025-08-14T21:57:42.2957902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2957974Z y = self.forward_features(x) 2025-08-14T21:57:42.2958220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2958294Z yl = self.stages(x) 2025-08-14T21:57:42.2958490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2958565Z yl = self.stage4(xl) 2025-08-14T21:57:42.2958762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2958823Z x = module(x) 2025-08-14T21:57:42.2959027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2959093Z y = y + f(x[j]) 2025-08-14T21:57:42.2959097Z 2025-08-14T21:57:42.2959202Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2959416Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2959482Z return mod(*inputs) 2025-08-14T21:57:42.2959695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2959769Z y = self.forward_features(x) 2025-08-14T21:57:42.2959997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2960069Z yl = self.stages(x) 2025-08-14T21:57:42.2960264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2960331Z yl = self.stage4(xl) 2025-08-14T21:57:42.2960535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2960630Z x = module(x) 2025-08-14T21:57:42.2960832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.2960894Z y = y + f(x[j]) 2025-08-14T21:57:42.2960897Z 2025-08-14T21:57:42.2961004Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2961216Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2961284Z return mod(*inputs) 2025-08-14T21:57:42.2961476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2961574Z y = self.forward_features(x) 2025-08-14T21:57:42.2961806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2961882Z yl = self.stages(x) 2025-08-14T21:57:42.2962083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2962155Z yl = self.stage4(xl) 2025-08-14T21:57:42.2962362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2962426Z x = module(x) 2025-08-14T21:57:42.2962627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:57:42.2962721Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:57:42.2962725Z 2025-08-14T21:57:42.2962835Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2963051Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2963120Z return mod(*inputs) 2025-08-14T21:57:42.2963318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2963402Z y = self.forward_features(x) 2025-08-14T21:57:42.2963632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2963704Z yl = self.stages(x) 2025-08-14T21:57:42.2963910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2963980Z yl = self.stage4(xl) 2025-08-14T21:57:42.2964185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2964267Z x = module(x) 2025-08-14T21:57:42.2964466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2964542Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2964745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2964809Z x = self.conv1(x) 2025-08-14T21:57:42.2964812Z 2025-08-14T21:57:42.2964928Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2965132Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2965207Z return mod(*inputs) 2025-08-14T21:57:42.2965401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2965473Z y = self.forward_features(x) 2025-08-14T21:57:42.2965709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2965776Z yl = self.stages(x) 2025-08-14T21:57:42.2965965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2966043Z yl = self.stage4(xl) 2025-08-14T21:57:42.2966236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2966303Z x = module(x) 2025-08-14T21:57:42.2966495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2966580Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2966804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2966868Z x = self.act1(x) 2025-08-14T21:57:42.2966872Z 2025-08-14T21:57:42.2966978Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2967194Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2967259Z return mod(*inputs) 2025-08-14T21:57:42.2967459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2967553Z y = self.forward_features(x) 2025-08-14T21:57:42.2967780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2967853Z yl = self.stages(x) 2025-08-14T21:57:42.2968047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2968117Z yl = self.stage4(xl) 2025-08-14T21:57:42.2968318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2968380Z x = module(x) 2025-08-14T21:57:42.2968581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2968647Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2968855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2968928Z x = self.conv2(x) 2025-08-14T21:57:42.2968932Z 2025-08-14T21:57:42.2969040Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2969249Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2969323Z return mod(*inputs) 2025-08-14T21:57:42.2969519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2969601Z y = self.forward_features(x) 2025-08-14T21:57:42.2969827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2969893Z yl = self.stages(x) 2025-08-14T21:57:42.2970095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2970179Z yl = self.stage4(xl) 2025-08-14T21:57:42.2970570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2970900Z x = module(x) 2025-08-14T21:57:42.2971180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2971503Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2971811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2972128Z x = self.act2(x) 2025-08-14T21:57:42.2972236Z 2025-08-14T21:57:42.2972338Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2972701Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2973026Z return mod(*inputs) 2025-08-14T21:57:42.2973318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2973648Z y = self.forward_features(x) 2025-08-14T21:57:42.2973995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2974340Z yl = self.stages(x) 2025-08-14T21:57:42.2974649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2974970Z yl = self.stage4(xl) 2025-08-14T21:57:42.2975269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2975598Z x = module(x) 2025-08-14T21:57:42.2975916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2976299Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2976590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2976904Z x = self.conv1(x) 2025-08-14T21:57:42.2976999Z 2025-08-14T21:57:42.2977108Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2977469Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2977797Z return mod(*inputs) 2025-08-14T21:57:42.2978132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2978478Z y = self.forward_features(x) 2025-08-14T21:57:42.2978834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2979208Z yl = self.stages(x) 2025-08-14T21:57:42.2979531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2979857Z yl = self.stage4(xl) 2025-08-14T21:57:42.2980171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2980494Z x = module(x) 2025-08-14T21:57:42.2980797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2981121Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2981438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.2981775Z x = self.act1(x) 2025-08-14T21:57:42.2981878Z 2025-08-14T21:57:42.2981984Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2982364Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2982708Z return mod(*inputs) 2025-08-14T21:57:42.2983017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2983350Z y = self.forward_features(x) 2025-08-14T21:57:42.2983712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2984091Z yl = self.stages(x) 2025-08-14T21:57:42.2984410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2984759Z yl = self.stage4(xl) 2025-08-14T21:57:42.2985081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2985495Z x = module(x) 2025-08-14T21:57:42.2985810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2986156Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2986487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.2986837Z x = self.conv2(x) 2025-08-14T21:57:42.2986953Z 2025-08-14T21:57:42.2987077Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2987471Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2987865Z return mod(*inputs) 2025-08-14T21:57:42.2988177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2988535Z y = self.forward_features(x) 2025-08-14T21:57:42.2988894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2989258Z yl = self.stages(x) 2025-08-14T21:57:42.2989565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2989928Z yl = self.stage4(xl) 2025-08-14T21:57:42.2990238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2990589Z x = module(x) 2025-08-14T21:57:42.2990897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2991235Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2991534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.2991869Z x = self.act2(x) 2025-08-14T21:57:42.2991972Z 2025-08-14T21:57:42.2992087Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2992494Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2992839Z return mod(*inputs) 2025-08-14T21:57:42.2993154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2993520Z y = self.forward_features(x) 2025-08-14T21:57:42.2993873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2994247Z yl = self.stages(x) 2025-08-14T21:57:42.2994553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.2994893Z yl = self.stage4(xl) 2025-08-14T21:57:42.2995199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.2995664Z x = module(x) 2025-08-14T21:57:42.2996076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.2996410Z x[i] = branch(x[i]) 2025-08-14T21:57:42.2996722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.2997061Z x = self.conv1(x) 2025-08-14T21:57:42.2997166Z 2025-08-14T21:57:42.2997277Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.2997658Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.2998007Z return mod(*inputs) 2025-08-14T21:57:42.2998314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.2998645Z y = self.forward_features(x) 2025-08-14T21:57:42.2999034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.2999402Z yl = self.stages(x) 2025-08-14T21:57:42.2999699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3000030Z yl = self.stage4(xl) 2025-08-14T21:57:42.3000340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3000668Z x = module(x) 2025-08-14T21:57:42.3000960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3001293Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3001605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.3001927Z x = self.act1(x) 2025-08-14T21:57:42.3002039Z 2025-08-14T21:57:42.3002147Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3002533Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3002854Z return mod(*inputs) 2025-08-14T21:57:42.3003138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3003455Z y = self.forward_features(x) 2025-08-14T21:57:42.3003799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3004135Z yl = self.stages(x) 2025-08-14T21:57:42.3004450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3004779Z yl = self.stage4(xl) 2025-08-14T21:57:42.3005069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3005371Z x = module(x) 2025-08-14T21:57:42.3005655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3005972Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3006286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.3006802Z x = self.conv2(x) 2025-08-14T21:57:42.3006907Z 2025-08-14T21:57:42.3007033Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3007514Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3007834Z return mod(*inputs) 2025-08-14T21:57:42.3008133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3008460Z y = self.forward_features(x) 2025-08-14T21:57:42.3008810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3009151Z yl = self.stages(x) 2025-08-14T21:57:42.3009443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3009762Z yl = self.stage4(xl) 2025-08-14T21:57:42.3010052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3010371Z x = module(x) 2025-08-14T21:57:42.3010668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3010974Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3011267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.3011586Z x = self.act2(x) 2025-08-14T21:57:42.3011687Z 2025-08-14T21:57:42.3011794Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3012140Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3012456Z return mod(*inputs) 2025-08-14T21:57:42.3012743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3013089Z y = self.forward_features(x) 2025-08-14T21:57:42.3013420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3013748Z yl = self.stages(x) 2025-08-14T21:57:42.3014028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3014320Z yl = self.stage4(xl) 2025-08-14T21:57:42.3014603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3014917Z x = module(x) 2025-08-14T21:57:42.3015190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3015504Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3015791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.3016099Z x = self.conv1(x) 2025-08-14T21:57:42.3016193Z 2025-08-14T21:57:42.3016295Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3016655Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3016977Z return mod(*inputs) 2025-08-14T21:57:42.3017263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3017586Z y = self.forward_features(x) 2025-08-14T21:57:42.3017938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3018347Z yl = self.stages(x) 2025-08-14T21:57:42.3018645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3018972Z yl = self.stage4(xl) 2025-08-14T21:57:42.3019280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3019599Z x = module(x) 2025-08-14T21:57:42.3019904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3020215Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3020572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.3020889Z x = self.act1(x) 2025-08-14T21:57:42.3020999Z 2025-08-14T21:57:42.3021106Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3021486Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3021823Z return mod(*inputs) 2025-08-14T21:57:42.3022131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3022470Z y = self.forward_features(x) 2025-08-14T21:57:42.3022828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3023185Z yl = self.stages(x) 2025-08-14T21:57:42.3023489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3023818Z yl = self.stage4(xl) 2025-08-14T21:57:42.3024126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3024459Z x = module(x) 2025-08-14T21:57:42.3024758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3025091Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3025469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.3025844Z x = self.conv2(x) 2025-08-14T21:57:42.3025947Z 2025-08-14T21:57:42.3026069Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3026452Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3026975Z return mod(*inputs) 2025-08-14T21:57:42.3027370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3027714Z y = self.forward_features(x) 2025-08-14T21:57:42.3028059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3028397Z yl = self.stages(x) 2025-08-14T21:57:42.3028687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3028999Z yl = self.stage4(xl) 2025-08-14T21:57:42.3029296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3029615Z x = module(x) 2025-08-14T21:57:42.3029885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3030214Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3030525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.3030855Z x = self.act2(x) 2025-08-14T21:57:42.3030951Z 2025-08-14T21:57:42.3031054Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3031414Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3031744Z return mod(*inputs) 2025-08-14T21:57:42.3032025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3032392Z y = self.forward_features(x) 2025-08-14T21:57:42.3032769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3033109Z yl = self.stages(x) 2025-08-14T21:57:42.3033389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3033703Z yl = self.stage4(xl) 2025-08-14T21:57:42.3034004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3034306Z x = module(x) 2025-08-14T21:57:42.3034588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.3034922Z y = y + f(x[j]) 2025-08-14T21:57:42.3035019Z 2025-08-14T21:57:42.3035131Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3035489Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3035824Z return mod(*inputs) 2025-08-14T21:57:42.3036120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3036434Z y = self.forward_features(x) 2025-08-14T21:57:42.3036775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3037113Z yl = self.stages(x) 2025-08-14T21:57:42.3037400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3037702Z yl = self.stage4(xl) 2025-08-14T21:57:42.3037995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3038313Z x = module(x) 2025-08-14T21:57:42.3038587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.3038901Z y = y + f(x[j]) 2025-08-14T21:57:42.3039010Z 2025-08-14T21:57:42.3039130Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3039494Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3039811Z return mod(*inputs) 2025-08-14T21:57:42.3040103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3040432Z y = self.forward_features(x) 2025-08-14T21:57:42.3040792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3041131Z yl = self.stages(x) 2025-08-14T21:57:42.3041414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3041725Z yl = self.stage4(xl) 2025-08-14T21:57:42.3042008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3042313Z x = module(x) 2025-08-14T21:57:42.3042593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.3042894Z y = f(x[j]) 2025-08-14T21:57:42.3042990Z 2025-08-14T21:57:42.3043093Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3043448Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3043773Z return mod(*inputs) 2025-08-14T21:57:42.3044063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3044373Z y = self.forward_features(x) 2025-08-14T21:57:42.3044704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3045031Z yl = self.stages(x) 2025-08-14T21:57:42.3045314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3045649Z yl = self.stage4(xl) 2025-08-14T21:57:42.3045933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3046262Z x = module(x) 2025-08-14T21:57:42.3046549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.3046844Z y = f(x[j]) 2025-08-14T21:57:42.3046930Z 2025-08-14T21:57:42.3047029Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3047382Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3047697Z return mod(*inputs) 2025-08-14T21:57:42.3047996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3048389Z y = self.forward_features(x) 2025-08-14T21:57:42.3048744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3049117Z yl = self.stages(x) 2025-08-14T21:57:42.3049417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3049752Z yl = self.stage4(xl) 2025-08-14T21:57:42.3050074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3050382Z x = module(x) 2025-08-14T21:57:42.3050673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.3050969Z y = f(x[j]) 2025-08-14T21:57:42.3051054Z 2025-08-14T21:57:42.3051160Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3051501Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3051815Z return mod(*inputs) 2025-08-14T21:57:42.3052100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3052411Z y = self.forward_features(x) 2025-08-14T21:57:42.3052745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3053087Z yl = self.stages(x) 2025-08-14T21:57:42.3053372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3053677Z yl = self.stage4(xl) 2025-08-14T21:57:42.3053994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3054308Z x = module(x) 2025-08-14T21:57:42.3054582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.3054892Z y = y + f(x[j]) 2025-08-14T21:57:42.3054986Z 2025-08-14T21:57:42.3055099Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3055457Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3055783Z return mod(*inputs) 2025-08-14T21:57:42.3056098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3056438Z y = self.forward_features(x) 2025-08-14T21:57:42.3056788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3057154Z yl = self.stages(x) 2025-08-14T21:57:42.3057459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3057777Z yl = self.stage4(xl) 2025-08-14T21:57:42.3058063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3058369Z x = module(x) 2025-08-14T21:57:42.3058647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.3058946Z y = y + f(x[j]) 2025-08-14T21:57:42.3059043Z 2025-08-14T21:57:42.3059169Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3059570Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3059907Z return mod(*inputs) 2025-08-14T21:57:42.3060213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3060552Z y = self.forward_features(x) 2025-08-14T21:57:42.3060909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3061262Z yl = self.stages(x) 2025-08-14T21:57:42.3061590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3061929Z yl = self.stage4(xl) 2025-08-14T21:57:42.3062234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3062559Z x = module(x) 2025-08-14T21:57:42.3062868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.3063209Z y = y + f(x[j]) 2025-08-14T21:57:42.3063304Z 2025-08-14T21:57:42.3063414Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3063795Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3064138Z return mod(*inputs) 2025-08-14T21:57:42.3064442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3064793Z y = self.forward_features(x) 2025-08-14T21:57:42.3065163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3065641Z yl = self.stages(x) 2025-08-14T21:57:42.3065963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3066309Z yl = self.stage4(xl) 2025-08-14T21:57:42.3066646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3066967Z x = module(x) 2025-08-14T21:57:42.3067267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.3067603Z y = y + f(x[j]) 2025-08-14T21:57:42.3067698Z 2025-08-14T21:57:42.3067814Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3068221Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3068565Z return mod(*inputs) 2025-08-14T21:57:42.3068872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3069206Z y = self.forward_features(x) 2025-08-14T21:57:42.3069558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3069923Z yl = self.stages(x) 2025-08-14T21:57:42.3070228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3070560Z yl = self.stage4(xl) 2025-08-14T21:57:42.3070851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3071162Z x = module(x) 2025-08-14T21:57:42.3071434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:57:42.3071761Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:57:42.3071899Z 2025-08-14T21:57:42.3072002Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3072375Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3072708Z return mod(*inputs) 2025-08-14T21:57:42.3073011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3073372Z y = self.forward_features(x) 2025-08-14T21:57:42.3073716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3074093Z yl = self.stages(x) 2025-08-14T21:57:42.3074398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3074728Z yl = self.stage4(xl) 2025-08-14T21:57:42.3075035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3075362Z x = module(x) 2025-08-14T21:57:42.3075661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3076009Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3076322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.3076653Z x = self.conv1(x) 2025-08-14T21:57:42.3076756Z 2025-08-14T21:57:42.3076873Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3077244Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3077586Z return mod(*inputs) 2025-08-14T21:57:42.3077891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3078219Z y = self.forward_features(x) 2025-08-14T21:57:42.3078579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3078935Z yl = self.stages(x) 2025-08-14T21:57:42.3079237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3079560Z yl = self.stage4(xl) 2025-08-14T21:57:42.3079869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3080193Z x = module(x) 2025-08-14T21:57:42.3080485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3080817Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3081130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.3081456Z x = self.act1(x) 2025-08-14T21:57:42.3081565Z 2025-08-14T21:57:42.3081671Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3082066Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3082408Z return mod(*inputs) 2025-08-14T21:57:42.3082707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3083052Z y = self.forward_features(x) 2025-08-14T21:57:42.3083408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3083782Z yl = self.stages(x) 2025-08-14T21:57:42.3084082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3084413Z yl = self.stage4(xl) 2025-08-14T21:57:42.3084724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3085041Z x = module(x) 2025-08-14T21:57:42.3085335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3085663Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3085964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.3086301Z x = self.conv2(x) 2025-08-14T21:57:42.3086410Z 2025-08-14T21:57:42.3086519Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3086894Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3087228Z return mod(*inputs) 2025-08-14T21:57:42.3087567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3087925Z y = self.forward_features(x) 2025-08-14T21:57:42.3088275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3088625Z yl = self.stages(x) 2025-08-14T21:57:42.3088907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3089241Z yl = self.stage4(xl) 2025-08-14T21:57:42.3089555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3089879Z x = module(x) 2025-08-14T21:57:42.3090181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3090487Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3090781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.3091096Z x = self.act2(x) 2025-08-14T21:57:42.3091193Z 2025-08-14T21:57:42.3091302Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3091654Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3091981Z return mod(*inputs) 2025-08-14T21:57:42.3092272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3092590Z y = self.forward_features(x) 2025-08-14T21:57:42.3092940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3093307Z yl = self.stages(x) 2025-08-14T21:57:42.3093614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3093956Z yl = self.stage4(xl) 2025-08-14T21:57:42.3094278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3094608Z x = module(x) 2025-08-14T21:57:42.3094907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3095280Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3095574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.3095893Z x = self.conv1(x) 2025-08-14T21:57:42.3096001Z 2025-08-14T21:57:42.3096141Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3096525Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3096871Z return mod(*inputs) 2025-08-14T21:57:42.3097182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3097530Z y = self.forward_features(x) 2025-08-14T21:57:42.3097942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3098477Z yl = self.stages(x) 2025-08-14T21:57:42.3098761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3099070Z yl = self.stage4(xl) 2025-08-14T21:57:42.3099365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3099661Z x = module(x) 2025-08-14T21:57:42.3099950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3100264Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3100552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.3100868Z x = self.act1(x) 2025-08-14T21:57:42.3100972Z 2025-08-14T21:57:42.3101080Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3101456Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3101841Z return mod(*inputs) 2025-08-14T21:57:42.3102147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3102486Z y = self.forward_features(x) 2025-08-14T21:57:42.3102836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3103208Z yl = self.stages(x) 2025-08-14T21:57:42.3103510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3103849Z yl = self.stage4(xl) 2025-08-14T21:57:42.3104182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3104522Z x = module(x) 2025-08-14T21:57:42.3104825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3105163Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3105569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.3105929Z x = self.conv2(x) 2025-08-14T21:57:42.3106039Z 2025-08-14T21:57:42.3106158Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3106554Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3106908Z return mod(*inputs) 2025-08-14T21:57:42.3107229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3107579Z y = self.forward_features(x) 2025-08-14T21:57:42.3107943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3108310Z yl = self.stages(x) 2025-08-14T21:57:42.3108616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3109036Z yl = self.stage4(xl) 2025-08-14T21:57:42.3109477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3109972Z x = module(x) 2025-08-14T21:57:42.3110396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3110875Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3111451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.3111954Z x = self.act2(x) 2025-08-14T21:57:42.3112061Z 2025-08-14T21:57:42.3112170Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3112557Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3112903Z return mod(*inputs) 2025-08-14T21:57:42.3113206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3113554Z y = self.forward_features(x) 2025-08-14T21:57:42.3113918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3114279Z yl = self.stages(x) 2025-08-14T21:57:42.3114580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3114911Z yl = self.stage4(xl) 2025-08-14T21:57:42.3115226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3115546Z x = module(x) 2025-08-14T21:57:42.3115849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3116186Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3116509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.3116861Z x = self.conv1(x) 2025-08-14T21:57:42.3117010Z 2025-08-14T21:57:42.3117132Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3117535Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3117866Z return mod(*inputs) 2025-08-14T21:57:42.3118172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3118509Z y = self.forward_features(x) 2025-08-14T21:57:42.3118857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3119221Z yl = self.stages(x) 2025-08-14T21:57:42.3119540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3119869Z yl = self.stage4(xl) 2025-08-14T21:57:42.3120170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3120491Z x = module(x) 2025-08-14T21:57:42.3120788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3121093Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3121390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.3121704Z x = self.act1(x) 2025-08-14T21:57:42.3121799Z 2025-08-14T21:57:42.3121910Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3122265Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3122584Z return mod(*inputs) 2025-08-14T21:57:42.3122875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3123189Z y = self.forward_features(x) 2025-08-14T21:57:42.3123528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3123869Z yl = self.stages(x) 2025-08-14T21:57:42.3124152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3124459Z yl = self.stage4(xl) 2025-08-14T21:57:42.3124753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3125061Z x = module(x) 2025-08-14T21:57:42.3125333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3125682Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3125996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.3126337Z x = self.conv2(x) 2025-08-14T21:57:42.3126447Z 2025-08-14T21:57:42.3126558Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3127223Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3127573Z return mod(*inputs) 2025-08-14T21:57:42.3127875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3128229Z y = self.forward_features(x) 2025-08-14T21:57:42.3128592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3128950Z yl = self.stages(x) 2025-08-14T21:57:42.3129247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3129580Z yl = self.stage4(xl) 2025-08-14T21:57:42.3129876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3130180Z x = module(x) 2025-08-14T21:57:42.3130462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3130772Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3131062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.3131469Z x = self.act2(x) 2025-08-14T21:57:42.3131571Z 2025-08-14T21:57:42.3131673Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3132034Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3132361Z return mod(*inputs) 2025-08-14T21:57:42.3132654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3132978Z y = self.forward_features(x) 2025-08-14T21:57:42.3133197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3133292Z yl = self.stages(x) 2025-08-14T21:57:42.3133485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3133552Z yl = self.stage4(xl) 2025-08-14T21:57:42.3133750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3133814Z x = module(x) 2025-08-14T21:57:42.3134005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3134074Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3134263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.3134331Z x = self.conv1(x) 2025-08-14T21:57:42.3134338Z 2025-08-14T21:57:42.3134440Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3134634Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3134705Z return mod(*inputs) 2025-08-14T21:57:42.3134890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3134959Z y = self.forward_features(x) 2025-08-14T21:57:42.3135181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3135245Z yl = self.stages(x) 2025-08-14T21:57:42.3135434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3135498Z yl = self.stage4(xl) 2025-08-14T21:57:42.3135680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3135746Z x = module(x) 2025-08-14T21:57:42.3135966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3136032Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3136237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.3136300Z x = self.act1(x) 2025-08-14T21:57:42.3136304Z 2025-08-14T21:57:42.3136418Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3136628Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3136695Z return mod(*inputs) 2025-08-14T21:57:42.3136901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3136975Z y = self.forward_features(x) 2025-08-14T21:57:42.3137209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3137286Z yl = self.stages(x) 2025-08-14T21:57:42.3137482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3137556Z yl = self.stage4(xl) 2025-08-14T21:57:42.3137756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3137819Z x = module(x) 2025-08-14T21:57:42.3138028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3138113Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3138337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.3138413Z x = self.conv2(x) 2025-08-14T21:57:42.3138417Z 2025-08-14T21:57:42.3138527Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3138743Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3138810Z return mod(*inputs) 2025-08-14T21:57:42.3139012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3139093Z y = self.forward_features(x) 2025-08-14T21:57:42.3139343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3139412Z yl = self.stages(x) 2025-08-14T21:57:42.3139615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3139686Z yl = self.stage4(xl) 2025-08-14T21:57:42.3139897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3139959Z x = module(x) 2025-08-14T21:57:42.3140156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3140230Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3140438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.3140503Z x = self.act2(x) 2025-08-14T21:57:42.3140506Z 2025-08-14T21:57:42.3140622Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3140832Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3140906Z return mod(*inputs) 2025-08-14T21:57:42.3141107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3141181Z y = self.forward_features(x) 2025-08-14T21:57:42.3141426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3141492Z yl = self.stages(x) 2025-08-14T21:57:42.3141686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3141761Z yl = self.stage4(xl) 2025-08-14T21:57:42.3141977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3142049Z x = module(x) 2025-08-14T21:57:42.3142244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.3142308Z y = y + f(x[j]) 2025-08-14T21:57:42.3142312Z 2025-08-14T21:57:42.3142425Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3142632Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3142701Z return mod(*inputs) 2025-08-14T21:57:42.3142909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3142982Z y = self.forward_features(x) 2025-08-14T21:57:42.3143213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3143277Z yl = self.stages(x) 2025-08-14T21:57:42.3143471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3143546Z yl = self.stage4(xl) 2025-08-14T21:57:42.3143743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3143805Z x = module(x) 2025-08-14T21:57:42.3144008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.3144096Z y = y + f(x[j]) 2025-08-14T21:57:42.3144100Z 2025-08-14T21:57:42.3144215Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3144438Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3144507Z return mod(*inputs) 2025-08-14T21:57:42.3144711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3144784Z y = self.forward_features(x) 2025-08-14T21:57:42.3145007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3145081Z yl = self.stages(x) 2025-08-14T21:57:42.3145364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3145451Z yl = self.stage4(xl) 2025-08-14T21:57:42.3145650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3145719Z x = module(x) 2025-08-14T21:57:42.3145925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3145995Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3146207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.3146284Z x = self.conv1(x) 2025-08-14T21:57:42.3146288Z 2025-08-14T21:57:42.3146400Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3146623Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3146693Z return mod(*inputs) 2025-08-14T21:57:42.3146909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3146991Z y = self.forward_features(x) 2025-08-14T21:57:42.3147223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3147291Z yl = self.stages(x) 2025-08-14T21:57:42.3147497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3147568Z yl = self.stage4(xl) 2025-08-14T21:57:42.3147776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3147838Z x = module(x) 2025-08-14T21:57:42.3148061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3148135Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3148346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.3148414Z x = self.act1(x) 2025-08-14T21:57:42.3148424Z 2025-08-14T21:57:42.3148532Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3148738Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3148812Z return mod(*inputs) 2025-08-14T21:57:42.3149009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3149081Z y = self.forward_features(x) 2025-08-14T21:57:42.3149315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3149381Z yl = self.stages(x) 2025-08-14T21:57:42.3149577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3149651Z yl = self.stage4(xl) 2025-08-14T21:57:42.3149845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3149915Z x = module(x) 2025-08-14T21:57:42.3150109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3150174Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3150400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.3150483Z x = self.conv2(x) 2025-08-14T21:57:42.3150487Z 2025-08-14T21:57:42.3150595Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3150811Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3150878Z return mod(*inputs) 2025-08-14T21:57:42.3151087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3151161Z y = self.forward_features(x) 2025-08-14T21:57:42.3151406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3151486Z yl = self.stages(x) 2025-08-14T21:57:42.3151680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3151749Z yl = self.stage4(xl) 2025-08-14T21:57:42.3151954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3152018Z x = module(x) 2025-08-14T21:57:42.3152221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3152287Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3152492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.3152562Z x = self.act2(x) 2025-08-14T21:57:42.3152565Z 2025-08-14T21:57:42.3152665Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3152861Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3152933Z return mod(*inputs) 2025-08-14T21:57:42.3153116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3153191Z y = self.forward_features(x) 2025-08-14T21:57:42.3153409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3153473Z yl = self.stages(x) 2025-08-14T21:57:42.3153665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3153729Z yl = self.stage4(xl) 2025-08-14T21:57:42.3153932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3154001Z x = module(x) 2025-08-14T21:57:42.3154189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3154258Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3154450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.3154512Z x = self.conv1(x) 2025-08-14T21:57:42.3154516Z 2025-08-14T21:57:42.3154624Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3154826Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3154894Z return mod(*inputs) 2025-08-14T21:57:42.3155110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3155183Z y = self.forward_features(x) 2025-08-14T21:57:42.3155416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3155481Z yl = self.stages(x) 2025-08-14T21:57:42.3155674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3155753Z yl = self.stage4(xl) 2025-08-14T21:57:42.3155959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3156020Z x = module(x) 2025-08-14T21:57:42.3156235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3156337Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3156544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.3156607Z x = self.act1(x) 2025-08-14T21:57:42.3156611Z 2025-08-14T21:57:42.3156715Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3156930Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3156997Z return mod(*inputs) 2025-08-14T21:57:42.3157202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3157315Z y = self.forward_features(x) 2025-08-14T21:57:42.3157544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3157617Z yl = self.stages(x) 2025-08-14T21:57:42.3157810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3157883Z yl = self.stage4(xl) 2025-08-14T21:57:42.3158089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3158152Z x = module(x) 2025-08-14T21:57:42.3158363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3158435Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3158643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.3158715Z x = self.conv2(x) 2025-08-14T21:57:42.3158719Z 2025-08-14T21:57:42.3158827Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3159041Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3159115Z return mod(*inputs) 2025-08-14T21:57:42.3159319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3159397Z y = self.forward_features(x) 2025-08-14T21:57:42.3159611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3159673Z yl = self.stages(x) 2025-08-14T21:57:42.3159866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3159948Z yl = self.stage4(xl) 2025-08-14T21:57:42.3160138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3160205Z x = module(x) 2025-08-14T21:57:42.3160393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3160454Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3160648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.3160708Z x = self.act2(x) 2025-08-14T21:57:42.3160713Z 2025-08-14T21:57:42.3160818Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3161009Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3161073Z return mod(*inputs) 2025-08-14T21:57:42.3161263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3161332Z y = self.forward_features(x) 2025-08-14T21:57:42.3161554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3161617Z yl = self.stages(x) 2025-08-14T21:57:42.3161800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3161869Z yl = self.stage4(xl) 2025-08-14T21:57:42.3162053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3162129Z x = module(x) 2025-08-14T21:57:42.3162339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3162402Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3162589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.3162657Z x = self.conv1(x) 2025-08-14T21:57:42.3162661Z 2025-08-14T21:57:42.3162764Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3162961Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3163024Z return mod(*inputs) 2025-08-14T21:57:42.3163229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3163309Z y = self.forward_features(x) 2025-08-14T21:57:42.3163526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3163598Z yl = self.stages(x) 2025-08-14T21:57:42.3163791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3163855Z yl = self.stage4(xl) 2025-08-14T21:57:42.3164050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3164108Z x = module(x) 2025-08-14T21:57:42.3164298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3164369Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3164564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.3164625Z x = self.act1(x) 2025-08-14T21:57:42.3164635Z 2025-08-14T21:57:42.3164737Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3164934Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3165008Z return mod(*inputs) 2025-08-14T21:57:42.3165203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3165278Z y = self.forward_features(x) 2025-08-14T21:57:42.3165521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3165589Z yl = self.stages(x) 2025-08-14T21:57:42.3165809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3165880Z yl = self.stage4(xl) 2025-08-14T21:57:42.3166080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3166150Z x = module(x) 2025-08-14T21:57:42.3166348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3166415Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3166623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.3166691Z x = self.conv2(x) 2025-08-14T21:57:42.3166695Z 2025-08-14T21:57:42.3166807Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3167016Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3167082Z return mod(*inputs) 2025-08-14T21:57:42.3167288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3167361Z y = self.forward_features(x) 2025-08-14T21:57:42.3167593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3167668Z yl = self.stages(x) 2025-08-14T21:57:42.3167866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3167960Z yl = self.stage4(xl) 2025-08-14T21:57:42.3168158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3168243Z x = module(x) 2025-08-14T21:57:42.3168449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3168514Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3168720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.3168790Z x = self.act2(x) 2025-08-14T21:57:42.3168794Z 2025-08-14T21:57:42.3168902Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3169140Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3169205Z return mod(*inputs) 2025-08-14T21:57:42.3169390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3169468Z y = self.forward_features(x) 2025-08-14T21:57:42.3169689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3169757Z yl = self.stages(x) 2025-08-14T21:57:42.3169957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3170024Z yl = self.stage4(xl) 2025-08-14T21:57:42.3170230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3170292Z x = module(x) 2025-08-14T21:57:42.3170488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3170564Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3170762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.3170827Z x = self.conv1(x) 2025-08-14T21:57:42.3170830Z 2025-08-14T21:57:42.3170945Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3171149Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3171222Z return mod(*inputs) 2025-08-14T21:57:42.3171415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3171488Z y = self.forward_features(x) 2025-08-14T21:57:42.3171735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3171804Z yl = self.stages(x) 2025-08-14T21:57:42.3171998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3172074Z yl = self.stage4(xl) 2025-08-14T21:57:42.3172275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3172344Z x = module(x) 2025-08-14T21:57:42.3172540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3172608Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3172819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.3172883Z x = self.act1(x) 2025-08-14T21:57:42.3172887Z 2025-08-14T21:57:42.3172993Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3173215Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3173282Z return mod(*inputs) 2025-08-14T21:57:42.3173501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3173575Z y = self.forward_features(x) 2025-08-14T21:57:42.3173800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3173875Z yl = self.stages(x) 2025-08-14T21:57:42.3174098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3174186Z yl = self.stage4(xl) 2025-08-14T21:57:42.3174390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3174453Z x = module(x) 2025-08-14T21:57:42.3174669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3174735Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3174935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.3175009Z x = self.conv2(x) 2025-08-14T21:57:42.3175012Z 2025-08-14T21:57:42.3175134Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3175341Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3175415Z return mod(*inputs) 2025-08-14T21:57:42.3175613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3175694Z y = self.forward_features(x) 2025-08-14T21:57:42.3175921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3175987Z yl = self.stages(x) 2025-08-14T21:57:42.3176185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3176256Z yl = self.stage4(xl) 2025-08-14T21:57:42.3176450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3176522Z x = module(x) 2025-08-14T21:57:42.3176730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.3176799Z y = f(x[j]) 2025-08-14T21:57:42.3176803Z 2025-08-14T21:57:42.3176909Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3177119Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3177196Z return mod(*inputs) 2025-08-14T21:57:42.3177406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3177479Z y = self.forward_features(x) 2025-08-14T21:57:42.3177729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3177796Z yl = self.stages(x) 2025-08-14T21:57:42.3177997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3178066Z yl = self.stage4(xl) 2025-08-14T21:57:42.3178260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3178328Z x = module(x) 2025-08-14T21:57:42.3178534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.3178598Z y = f(x[j]) 2025-08-14T21:57:42.3178603Z 2025-08-14T21:57:42.3178719Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3178925Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3179000Z return mod(*inputs) 2025-08-14T21:57:42.3179207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3179282Z y = self.forward_features(x) 2025-08-14T21:57:42.3179513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3179582Z yl = self.stages(x) 2025-08-14T21:57:42.3179774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3179855Z yl = self.stage4(xl) 2025-08-14T21:57:42.3180061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3180203Z x = module(x) 2025-08-14T21:57:42.3180414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.3180476Z y = f(x[j]) 2025-08-14T21:57:42.3180480Z 2025-08-14T21:57:42.3180594Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3180814Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3180880Z return mod(*inputs) 2025-08-14T21:57:42.3181101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3181190Z y = self.forward_features(x) 2025-08-14T21:57:42.3181424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3181491Z yl = self.stages(x) 2025-08-14T21:57:42.3181683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3181761Z yl = self.stage4(xl) 2025-08-14T21:57:42.3181953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3182014Z x = module(x) 2025-08-14T21:57:42.3182217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.3182277Z y = f(x[j]) 2025-08-14T21:57:42.3182281Z 2025-08-14T21:57:42.3182396Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3182604Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3182675Z return mod(*inputs) 2025-08-14T21:57:42.3182882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3183146Z y = self.forward_features(x) 2025-08-14T21:57:42.3183391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3183475Z yl = self.stages(x) 2025-08-14T21:57:42.3183673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3183752Z yl = self.stage4(xl) 2025-08-14T21:57:42.3183962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3184024Z x = module(x) 2025-08-14T21:57:42.3184249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.3184314Z y = f(x[j]) 2025-08-14T21:57:42.3184317Z 2025-08-14T21:57:42.3184428Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3184644Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3184712Z return mod(*inputs) 2025-08-14T21:57:42.3184917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3184996Z y = self.forward_features(x) 2025-08-14T21:57:42.3185223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3185345Z yl = self.stages(x) 2025-08-14T21:57:42.3185552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3185624Z yl = self.stage4(xl) 2025-08-14T21:57:42.3185833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3185895Z x = module(x) 2025-08-14T21:57:42.3186103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.3186168Z y = y + f(x[j]) 2025-08-14T21:57:42.3186173Z 2025-08-14T21:57:42.3186283Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3186527Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3186613Z return mod(*inputs) 2025-08-14T21:57:42.3186819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3186911Z y = self.forward_features(x) 2025-08-14T21:57:42.3187141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3187215Z yl = self.stages(x) 2025-08-14T21:57:42.3187411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3187479Z yl = self.stage4(xl) 2025-08-14T21:57:42.3187701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3187766Z x = module(x) 2025-08-14T21:57:42.3187962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.3188036Z y = y + f(x[j]) 2025-08-14T21:57:42.3188041Z 2025-08-14T21:57:42.3188150Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3188366Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3188433Z return mod(*inputs) 2025-08-14T21:57:42.3188632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3188716Z y = self.forward_features(x) 2025-08-14T21:57:42.3188946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3189013Z yl = self.stages(x) 2025-08-14T21:57:42.3189218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3189285Z yl = self.stage4(xl) 2025-08-14T21:57:42.3189491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3189555Z x = module(x) 2025-08-14T21:57:42.3189756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.3189827Z y = y + f(x[j]) 2025-08-14T21:57:42.3189833Z 2025-08-14T21:57:42.3189941Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3190150Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3190242Z return mod(*inputs) 2025-08-14T21:57:42.3190439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3190520Z y = self.forward_features(x) 2025-08-14T21:57:42.3190746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3190812Z yl = self.stages(x) 2025-08-14T21:57:42.3191013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3191087Z yl = self.stage4(xl) 2025-08-14T21:57:42.3191280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3191350Z x = module(x) 2025-08-14T21:57:42.3191542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.3191611Z y = y + f(x[j]) 2025-08-14T21:57:42.3191614Z 2025-08-14T21:57:42.3191722Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3191928Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3192005Z return mod(*inputs) 2025-08-14T21:57:42.3192200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3192273Z y = self.forward_features(x) 2025-08-14T21:57:42.3192505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3192604Z yl = self.stages(x) 2025-08-14T21:57:42.3192808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3192875Z yl = self.stage4(xl) 2025-08-14T21:57:42.3193072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3193153Z x = module(x) 2025-08-14T21:57:42.3193340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.3193398Z y = y + f(x[j]) 2025-08-14T21:57:42.3193411Z 2025-08-14T21:57:42.3193530Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3193727Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3193798Z return mod(*inputs) 2025-08-14T21:57:42.3193985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3194057Z y = self.forward_features(x) 2025-08-14T21:57:42.3194278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3194342Z yl = self.stages(x) 2025-08-14T21:57:42.3194524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3194594Z yl = self.stage4(xl) 2025-08-14T21:57:42.3194779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3194845Z x = module(x) 2025-08-14T21:57:42.3195031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.3195090Z y = y + f(x[j]) 2025-08-14T21:57:42.3195093Z 2025-08-14T21:57:42.3195203Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3195395Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3195463Z return mod(*inputs) 2025-08-14T21:57:42.3195656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3195724Z y = self.forward_features(x) 2025-08-14T21:57:42.3195945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3196040Z yl = self.stages(x) 2025-08-14T21:57:42.3196224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3196297Z yl = self.stage4(xl) 2025-08-14T21:57:42.3196482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3196541Z x = module(x) 2025-08-14T21:57:42.3196732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:57:42.3196810Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:57:42.3196815Z 2025-08-14T21:57:42.3196922Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3197112Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3197176Z return mod(*inputs) 2025-08-14T21:57:42.3197369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3197443Z y = self.forward_features(x) 2025-08-14T21:57:42.3197674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3197741Z yl = self.stages(x) 2025-08-14T21:57:42.3197936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3198010Z yl = self.stage4(xl) 2025-08-14T21:57:42.3198202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3198283Z x = module(x) 2025-08-14T21:57:42.3198499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3198564Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3198764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.3198838Z x = self.conv1(x) 2025-08-14T21:57:42.3198841Z 2025-08-14T21:57:42.3198948Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3199160Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3199226Z return mod(*inputs) 2025-08-14T21:57:42.3199435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3199517Z y = self.forward_features(x) 2025-08-14T21:57:42.3199743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3199818Z yl = self.stages(x) 2025-08-14T21:57:42.3200013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3200080Z yl = self.stage4(xl) 2025-08-14T21:57:42.3200283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3200344Z x = module(x) 2025-08-14T21:57:42.3200540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3200612Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3200817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.3200880Z x = self.act1(x) 2025-08-14T21:57:42.3200890Z 2025-08-14T21:57:42.3200995Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3201202Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3201279Z return mod(*inputs) 2025-08-14T21:57:42.3201475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3201548Z y = self.forward_features(x) 2025-08-14T21:57:42.3201780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3201845Z yl = self.stages(x) 2025-08-14T21:57:42.3202062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3202133Z yl = self.stage4(xl) 2025-08-14T21:57:42.3202330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3202400Z x = module(x) 2025-08-14T21:57:42.3202595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3202662Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3202872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.3202941Z x = self.conv2(x) 2025-08-14T21:57:42.3202944Z 2025-08-14T21:57:42.3203057Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3203261Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3203329Z return mod(*inputs) 2025-08-14T21:57:42.3203534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3203611Z y = self.forward_features(x) 2025-08-14T21:57:42.3203835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3203907Z yl = self.stages(x) 2025-08-14T21:57:42.3204088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3204193Z yl = self.stage4(xl) 2025-08-14T21:57:42.3204378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3204454Z x = module(x) 2025-08-14T21:57:42.3204643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3204704Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3204897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.3204966Z x = self.act2(x) 2025-08-14T21:57:42.3204970Z 2025-08-14T21:57:42.3205069Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3205286Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3205353Z return mod(*inputs) 2025-08-14T21:57:42.3205537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3205615Z y = self.forward_features(x) 2025-08-14T21:57:42.3205829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3205891Z yl = self.stages(x) 2025-08-14T21:57:42.3206084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3206153Z yl = self.stage4(xl) 2025-08-14T21:57:42.3206356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3206420Z x = module(x) 2025-08-14T21:57:42.3206613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3206685Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3206883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.3206948Z x = self.conv1(x) 2025-08-14T21:57:42.3206951Z 2025-08-14T21:57:42.3207068Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3207285Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3207355Z return mod(*inputs) 2025-08-14T21:57:42.3207538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3207607Z y = self.forward_features(x) 2025-08-14T21:57:42.3207845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3207911Z yl = self.stages(x) 2025-08-14T21:57:42.3208095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3208167Z yl = self.stage4(xl) 2025-08-14T21:57:42.3208351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3208416Z x = module(x) 2025-08-14T21:57:42.3208602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3208665Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3208861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.3208922Z x = self.act1(x) 2025-08-14T21:57:42.3208926Z 2025-08-14T21:57:42.3209025Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3209244Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3209310Z return mod(*inputs) 2025-08-14T21:57:42.3209520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3209594Z y = self.forward_features(x) 2025-08-14T21:57:42.3209820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3209894Z yl = self.stages(x) 2025-08-14T21:57:42.3210107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3210192Z yl = self.stage4(xl) 2025-08-14T21:57:42.3210398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3210458Z x = module(x) 2025-08-14T21:57:42.3210670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3210736Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3210943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.3211013Z x = self.conv2(x) 2025-08-14T21:57:42.3211036Z 2025-08-14T21:57:42.3211143Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3211346Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3211418Z return mod(*inputs) 2025-08-14T21:57:42.3211613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3211696Z y = self.forward_features(x) 2025-08-14T21:57:42.3211920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3211986Z yl = self.stages(x) 2025-08-14T21:57:42.3212184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3212250Z yl = self.stage4(xl) 2025-08-14T21:57:42.3212443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3212515Z x = module(x) 2025-08-14T21:57:42.3212718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3212790Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3212988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.3213054Z x = self.act2(x) 2025-08-14T21:57:42.3213059Z 2025-08-14T21:57:42.3213173Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3213376Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3213444Z return mod(*inputs) 2025-08-14T21:57:42.3213666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3213741Z y = self.forward_features(x) 2025-08-14T21:57:42.3213970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3214038Z yl = self.stages(x) 2025-08-14T21:57:42.3214229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3214304Z yl = self.stage4(xl) 2025-08-14T21:57:42.3214497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3214564Z x = module(x) 2025-08-14T21:57:42.3214768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3214834Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3215039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.3215105Z x = self.conv1(x) 2025-08-14T21:57:42.3215109Z 2025-08-14T21:57:42.3215215Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3215426Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3215494Z return mod(*inputs) 2025-08-14T21:57:42.3215688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3215769Z y = self.forward_features(x) 2025-08-14T21:57:42.3215992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3216103Z yl = self.stages(x) 2025-08-14T21:57:42.3216298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3216367Z yl = self.stage4(xl) 2025-08-14T21:57:42.3216573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3216635Z x = module(x) 2025-08-14T21:57:42.3216837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3216910Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3217135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.3217208Z x = self.act1(x) 2025-08-14T21:57:42.3217212Z 2025-08-14T21:57:42.3217322Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3217536Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3217612Z return mod(*inputs) 2025-08-14T21:57:42.3217810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3217885Z y = self.forward_features(x) 2025-08-14T21:57:42.3218119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3218186Z yl = self.stages(x) 2025-08-14T21:57:42.3218389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3218458Z yl = self.stage4(xl) 2025-08-14T21:57:42.3218656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3218727Z x = module(x) 2025-08-14T21:57:42.3218928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3218995Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3219207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.3219273Z x = self.conv2(x) 2025-08-14T21:57:42.3219276Z 2025-08-14T21:57:42.3219390Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3219598Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3219686Z return mod(*inputs) 2025-08-14T21:57:42.3219887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3219959Z y = self.forward_features(x) 2025-08-14T21:57:42.3220186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3220260Z yl = self.stages(x) 2025-08-14T21:57:42.3220452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3220530Z yl = self.stage4(xl) 2025-08-14T21:57:42.3220728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3220790Z x = module(x) 2025-08-14T21:57:42.3220991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3221055Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3221255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.3221327Z x = self.act2(x) 2025-08-14T21:57:42.3221331Z 2025-08-14T21:57:42.3221439Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3221653Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3221719Z return mod(*inputs) 2025-08-14T21:57:42.3221916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3222014Z y = self.forward_features(x) 2025-08-14T21:57:42.3222256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3222322Z yl = self.stages(x) 2025-08-14T21:57:42.3222521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3222588Z yl = self.stage4(xl) 2025-08-14T21:57:42.3222790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3222853Z x = module(x) 2025-08-14T21:57:42.3223061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3223136Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3223340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.3223405Z x = self.conv1(x) 2025-08-14T21:57:42.3223410Z 2025-08-14T21:57:42.3223525Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3223732Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3223803Z return mod(*inputs) 2025-08-14T21:57:42.3223997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3224068Z y = self.forward_features(x) 2025-08-14T21:57:42.3224304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3224369Z yl = self.stages(x) 2025-08-14T21:57:42.3224564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3224640Z yl = self.stage4(xl) 2025-08-14T21:57:42.3224838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3224907Z x = module(x) 2025-08-14T21:57:42.3225108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3225176Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3225668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.3225741Z x = self.act1(x) 2025-08-14T21:57:42.3225745Z 2025-08-14T21:57:42.3225858Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3226115Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3226186Z return mod(*inputs) 2025-08-14T21:57:42.3226396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3226473Z y = self.forward_features(x) 2025-08-14T21:57:42.3227026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3227133Z yl = self.stages(x) 2025-08-14T21:57:42.3227343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3227414Z yl = self.stage4(xl) 2025-08-14T21:57:42.3227617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3227680Z x = module(x) 2025-08-14T21:57:42.3227888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3227957Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3228164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.3228243Z x = self.conv2(x) 2025-08-14T21:57:42.3228247Z 2025-08-14T21:57:42.3228357Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3228570Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3228698Z return mod(*inputs) 2025-08-14T21:57:42.3228901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3229011Z y = self.forward_features(x) 2025-08-14T21:57:42.3229255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3229326Z yl = self.stages(x) 2025-08-14T21:57:42.3229535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3229607Z yl = self.stage4(xl) 2025-08-14T21:57:42.3229808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3229911Z x = module(x) 2025-08-14T21:57:42.3230114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3230190Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3230396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.3230466Z x = self.act2(x) 2025-08-14T21:57:42.3230470Z 2025-08-14T21:57:42.3230587Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3230796Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3230865Z return mod(*inputs) 2025-08-14T21:57:42.3231076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3231151Z y = self.forward_features(x) 2025-08-14T21:57:42.3231390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3231458Z yl = self.stages(x) 2025-08-14T21:57:42.3231657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3231745Z yl = self.stage4(xl) 2025-08-14T21:57:42.3231947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3232013Z x = module(x) 2025-08-14T21:57:42.3232218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.3232280Z y = f(x[j]) 2025-08-14T21:57:42.3232284Z 2025-08-14T21:57:42.3232400Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3232634Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3232705Z return mod(*inputs) 2025-08-14T21:57:42.3232921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3232998Z y = self.forward_features(x) 2025-08-14T21:57:42.3233230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3233306Z yl = self.stages(x) 2025-08-14T21:57:42.3233504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3233583Z yl = self.stage4(xl) 2025-08-14T21:57:42.3233795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3233859Z x = module(x) 2025-08-14T21:57:42.3234069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.3234135Z y = f(x[j]) 2025-08-14T21:57:42.3234139Z 2025-08-14T21:57:42.3234248Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3234476Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3234544Z return mod(*inputs) 2025-08-14T21:57:42.3234760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3234834Z y = self.forward_features(x) 2025-08-14T21:57:42.3235087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3235184Z yl = self.stages(x) 2025-08-14T21:57:42.3235394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3235464Z yl = self.stage4(xl) 2025-08-14T21:57:42.3235681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3235745Z x = module(x) 2025-08-14T21:57:42.3235949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.3236012Z y = f(x[j]) 2025-08-14T21:57:42.3236015Z 2025-08-14T21:57:42.3236139Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3236359Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3236428Z return mod(*inputs) 2025-08-14T21:57:42.3236632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3236716Z y = self.forward_features(x) 2025-08-14T21:57:42.3236951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3237025Z yl = self.stages(x) 2025-08-14T21:57:42.3237235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3237306Z yl = self.stage4(xl) 2025-08-14T21:57:42.3237527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3237588Z x = module(x) 2025-08-14T21:57:42.3237799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.3237865Z y = f(x[j]) 2025-08-14T21:57:42.3237869Z 2025-08-14T21:57:42.3237977Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3238191Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3238258Z return mod(*inputs) 2025-08-14T21:57:42.3238474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3238551Z y = self.forward_features(x) 2025-08-14T21:57:42.3238804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3238868Z yl = self.stages(x) 2025-08-14T21:57:42.3239059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3239125Z yl = self.stage4(xl) 2025-08-14T21:57:42.3239321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3239382Z x = module(x) 2025-08-14T21:57:42.3239570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.3239637Z y = f(x[j]) 2025-08-14T21:57:42.3239642Z 2025-08-14T21:57:42.3239748Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3239943Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3240015Z return mod(*inputs) 2025-08-14T21:57:42.3240205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3240284Z y = self.forward_features(x) 2025-08-14T21:57:42.3240499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3240564Z yl = self.stages(x) 2025-08-14T21:57:42.3240770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3240837Z yl = self.stage4(xl) 2025-08-14T21:57:42.3241043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3241157Z x = module(x) 2025-08-14T21:57:42.3241370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.3241439Z y = f(x[j]) 2025-08-14T21:57:42.3241443Z 2025-08-14T21:57:42.3241552Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3241775Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3241851Z return mod(*inputs) 2025-08-14T21:57:42.3242063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3242167Z y = self.forward_features(x) 2025-08-14T21:57:42.3242401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3242467Z yl = self.stages(x) 2025-08-14T21:57:42.3242674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3242742Z yl = self.stage4(xl) 2025-08-14T21:57:42.3242926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3242993Z x = module(x) 2025-08-14T21:57:42.3243178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.3243239Z y = y + f(x[j]) 2025-08-14T21:57:42.3243250Z 2025-08-14T21:57:42.3243351Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3243543Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3243617Z return mod(*inputs) 2025-08-14T21:57:42.3243802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3243871Z y = self.forward_features(x) 2025-08-14T21:57:42.3244089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3244154Z yl = self.stages(x) 2025-08-14T21:57:42.3244337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3244407Z yl = self.stage4(xl) 2025-08-14T21:57:42.3244589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3244654Z x = module(x) 2025-08-14T21:57:42.3244854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.3244916Z y = y + f(x[j]) 2025-08-14T21:57:42.3244920Z 2025-08-14T21:57:42.3245028Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3245224Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3245297Z return mod(*inputs) 2025-08-14T21:57:42.3245489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3245561Z y = self.forward_features(x) 2025-08-14T21:57:42.3245802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3245868Z yl = self.stages(x) 2025-08-14T21:57:42.3246063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3246140Z yl = self.stage4(xl) 2025-08-14T21:57:42.3246342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3246405Z x = module(x) 2025-08-14T21:57:42.3246620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.3246683Z y = y + f(x[j]) 2025-08-14T21:57:42.3246686Z 2025-08-14T21:57:42.3246799Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3247032Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3247117Z return mod(*inputs) 2025-08-14T21:57:42.3247321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3247394Z y = self.forward_features(x) 2025-08-14T21:57:42.3247626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3247695Z yl = self.stages(x) 2025-08-14T21:57:42.3247889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3247962Z yl = self.stage4(xl) 2025-08-14T21:57:42.3248185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3248249Z x = module(x) 2025-08-14T21:57:42.3248451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.3248516Z y = y + f(x[j]) 2025-08-14T21:57:42.3248521Z 2025-08-14T21:57:42.3248635Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3248838Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3248904Z return mod(*inputs) 2025-08-14T21:57:42.3249106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3249180Z y = self.forward_features(x) 2025-08-14T21:57:42.3249405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3249481Z yl = self.stages(x) 2025-08-14T21:57:42.3249673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3249745Z yl = self.stage4(xl) 2025-08-14T21:57:42.3249938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3250002Z x = module(x) 2025-08-14T21:57:42.3250202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:57:42.3250283Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:57:42.3250287Z 2025-08-14T21:57:42.3250392Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3250624Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3250694Z return mod(*inputs) 2025-08-14T21:57:42.3250894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3250969Z y = self.forward_features(x) 2025-08-14T21:57:42.3251194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3251267Z yl = self.stages(x) 2025-08-14T21:57:42.3251458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3251529Z yl = self.stage4(xl) 2025-08-14T21:57:42.3251730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3251792Z x = module(x) 2025-08-14T21:57:42.3251992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3252056Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3252256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.3252328Z x = self.conv1(x) 2025-08-14T21:57:42.3252331Z 2025-08-14T21:57:42.3252438Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3252644Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3252717Z return mod(*inputs) 2025-08-14T21:57:42.3252912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3253027Z y = self.forward_features(x) 2025-08-14T21:57:42.3253255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3253320Z yl = self.stages(x) 2025-08-14T21:57:42.3253511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3253576Z yl = self.stage4(xl) 2025-08-14T21:57:42.3253762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3253829Z x = module(x) 2025-08-14T21:57:42.3254032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3254107Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3254299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.3254365Z x = self.act1(x) 2025-08-14T21:57:42.3254369Z 2025-08-14T21:57:42.3254486Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3254702Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3254768Z return mod(*inputs) 2025-08-14T21:57:42.3254972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3255048Z y = self.forward_features(x) 2025-08-14T21:57:42.3255281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3255348Z yl = self.stages(x) 2025-08-14T21:57:42.3255554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3255629Z yl = self.stage4(xl) 2025-08-14T21:57:42.3255835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3255899Z x = module(x) 2025-08-14T21:57:42.3256106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3256173Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3256387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.3256452Z x = self.conv2(x) 2025-08-14T21:57:42.3256455Z 2025-08-14T21:57:42.3256584Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3256798Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3256867Z return mod(*inputs) 2025-08-14T21:57:42.3257075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3257156Z y = self.forward_features(x) 2025-08-14T21:57:42.3257381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3257456Z yl = self.stages(x) 2025-08-14T21:57:42.3257648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3257715Z yl = self.stage4(xl) 2025-08-14T21:57:42.3257922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3257985Z x = module(x) 2025-08-14T21:57:42.3258193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3258267Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3258468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.3258539Z x = self.act2(x) 2025-08-14T21:57:42.3258542Z 2025-08-14T21:57:42.3258648Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3258861Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3258978Z return mod(*inputs) 2025-08-14T21:57:42.3259189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3259264Z y = self.forward_features(x) 2025-08-14T21:57:42.3259496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3259562Z yl = self.stages(x) 2025-08-14T21:57:42.3259775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3259844Z yl = self.stage4(xl) 2025-08-14T21:57:42.3260074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3260146Z x = module(x) 2025-08-14T21:57:42.3260352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3260418Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3260628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.3260694Z x = self.conv1(x) 2025-08-14T21:57:42.3260698Z 2025-08-14T21:57:42.3260811Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3261023Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3261091Z return mod(*inputs) 2025-08-14T21:57:42.3261298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3261369Z y = self.forward_features(x) 2025-08-14T21:57:42.3261596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3261670Z yl = self.stages(x) 2025-08-14T21:57:42.3261872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3261950Z yl = self.stage4(xl) 2025-08-14T21:57:42.3262157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3262220Z x = module(x) 2025-08-14T21:57:42.3262420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3262485Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3262702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.3262777Z x = self.act1(x) 2025-08-14T21:57:42.3262781Z 2025-08-14T21:57:42.3262889Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3263103Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3263170Z return mod(*inputs) 2025-08-14T21:57:42.3263379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3263462Z y = self.forward_features(x) 2025-08-14T21:57:42.3263691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3263761Z yl = self.stages(x) 2025-08-14T21:57:42.3263965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3264032Z yl = self.stage4(xl) 2025-08-14T21:57:42.3264235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3264297Z x = module(x) 2025-08-14T21:57:42.3264494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3264568Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3264770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.3264835Z x = self.conv2(x) 2025-08-14T21:57:42.3264838Z 2025-08-14T21:57:42.3264973Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3265187Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3265365Z return mod(*inputs) 2025-08-14T21:57:42.3265581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3265656Z y = self.forward_features(x) 2025-08-14T21:57:42.3265903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3265972Z yl = self.stages(x) 2025-08-14T21:57:42.3266170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3266277Z yl = self.stage4(xl) 2025-08-14T21:57:42.3266484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3266557Z x = module(x) 2025-08-14T21:57:42.3266764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3266835Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3267057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.3267134Z x = self.act2(x) 2025-08-14T21:57:42.3267138Z 2025-08-14T21:57:42.3267245Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3267463Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3267531Z return mod(*inputs) 2025-08-14T21:57:42.3267736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3267812Z y = self.forward_features(x) 2025-08-14T21:57:42.3268039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3268114Z yl = self.stages(x) 2025-08-14T21:57:42.3268309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3268380Z yl = self.stage4(xl) 2025-08-14T21:57:42.3268581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3268644Z x = module(x) 2025-08-14T21:57:42.3268849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3268934Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3269142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.3269213Z x = self.conv1(x) 2025-08-14T21:57:42.3269216Z 2025-08-14T21:57:42.3269326Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3269532Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3269607Z return mod(*inputs) 2025-08-14T21:57:42.3269803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3269883Z y = self.forward_features(x) 2025-08-14T21:57:42.3270108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3270173Z yl = self.stages(x) 2025-08-14T21:57:42.3270372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3270440Z yl = self.stage4(xl) 2025-08-14T21:57:42.3270634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3270706Z x = module(x) 2025-08-14T21:57:42.3270899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3270970Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3271171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.3271254Z x = self.act1(x) 2025-08-14T21:57:42.3271284Z 2025-08-14T21:57:42.3271400Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3271607Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3271675Z return mod(*inputs) 2025-08-14T21:57:42.3271877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3271952Z y = self.forward_features(x) 2025-08-14T21:57:42.3272186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3272251Z yl = self.stages(x) 2025-08-14T21:57:42.3272457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3272535Z yl = self.stage4(xl) 2025-08-14T21:57:42.3272734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3272801Z x = module(x) 2025-08-14T21:57:42.3273007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3273072Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3273282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.3273349Z x = self.conv2(x) 2025-08-14T21:57:42.3273353Z 2025-08-14T21:57:42.3273460Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3273677Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3273743Z return mod(*inputs) 2025-08-14T21:57:42.3273944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3274027Z y = self.forward_features(x) 2025-08-14T21:57:42.3274254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3274331Z yl = self.stages(x) 2025-08-14T21:57:42.3274527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3274595Z yl = self.stage4(xl) 2025-08-14T21:57:42.3274806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3274870Z x = module(x) 2025-08-14T21:57:42.3275092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3275169Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3275385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.3275457Z x = self.act2(x) 2025-08-14T21:57:42.3275460Z 2025-08-14T21:57:42.3275566Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3275772Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3275849Z return mod(*inputs) 2025-08-14T21:57:42.3276050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3276127Z y = self.forward_features(x) 2025-08-14T21:57:42.3276367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3276435Z yl = self.stages(x) 2025-08-14T21:57:42.3276643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3276714Z yl = self.stage4(xl) 2025-08-14T21:57:42.3276918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3276990Z x = module(x) 2025-08-14T21:57:42.3277190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3277307Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3277523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.3277608Z x = self.conv1(x) 2025-08-14T21:57:42.3277611Z 2025-08-14T21:57:42.3277727Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3277943Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3278011Z return mod(*inputs) 2025-08-14T21:57:42.3278225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3278301Z y = self.forward_features(x) 2025-08-14T21:57:42.3278555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3278633Z yl = self.stages(x) 2025-08-14T21:57:42.3278829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3278906Z yl = self.stage4(xl) 2025-08-14T21:57:42.3279108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3279173Z x = module(x) 2025-08-14T21:57:42.3279380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3279447Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3279655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.3279728Z x = self.act1(x) 2025-08-14T21:57:42.3279732Z 2025-08-14T21:57:42.3279842Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3280065Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3280134Z return mod(*inputs) 2025-08-14T21:57:42.3280334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3280418Z y = self.forward_features(x) 2025-08-14T21:57:42.3280652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3280720Z yl = self.stages(x) 2025-08-14T21:57:42.3280926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3280997Z yl = self.stage4(xl) 2025-08-14T21:57:42.3281227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3281295Z x = module(x) 2025-08-14T21:57:42.3281504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3281579Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3281793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.3281862Z x = self.conv2(x) 2025-08-14T21:57:42.3281867Z 2025-08-14T21:57:42.3281986Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3282200Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3282277Z return mod(*inputs) 2025-08-14T21:57:42.3282481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3282557Z y = self.forward_features(x) 2025-08-14T21:57:42.3282799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3282867Z yl = self.stages(x) 2025-08-14T21:57:42.3283070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3283149Z yl = self.stage4(xl) 2025-08-14T21:57:42.3283350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3283422Z x = module(x) 2025-08-14T21:57:42.3283652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3283739Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3283959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.3284024Z x = self.act2(x) 2025-08-14T21:57:42.3284028Z 2025-08-14T21:57:42.3284137Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3284358Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3284426Z return mod(*inputs) 2025-08-14T21:57:42.3284655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3284733Z y = self.forward_features(x) 2025-08-14T21:57:42.3284964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3285042Z yl = self.stages(x) 2025-08-14T21:57:42.3285239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3285311Z yl = self.stage4(xl) 2025-08-14T21:57:42.3285517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3285581Z x = module(x) 2025-08-14T21:57:42.3285791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.3285858Z y = y + f(x[j]) 2025-08-14T21:57:42.3285862Z 2025-08-14T21:57:42.3285971Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3286195Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3286264Z return mod(*inputs) 2025-08-14T21:57:42.3286466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3286550Z y = self.forward_features(x) 2025-08-14T21:57:42.3286900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3286988Z yl = self.stages(x) 2025-08-14T21:57:42.3287191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3287261Z yl = self.stage4(xl) 2025-08-14T21:57:42.3287493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3287560Z x = module(x) 2025-08-14T21:57:42.3287763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.3287840Z y = y + f(x[j]) 2025-08-14T21:57:42.3287844Z 2025-08-14T21:57:42.3287955Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3288174Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3288246Z return mod(*inputs) 2025-08-14T21:57:42.3288452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3288540Z y = self.forward_features(x) 2025-08-14T21:57:42.3288776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3288844Z yl = self.stages(x) 2025-08-14T21:57:42.3289053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3289122Z yl = self.stage4(xl) 2025-08-14T21:57:42.3289330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3289395Z x = module(x) 2025-08-14T21:57:42.3289601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.3289673Z y = y + f(x[j]) 2025-08-14T21:57:42.3289677Z 2025-08-14T21:57:42.3289805Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3290044Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3290112Z return mod(*inputs) 2025-08-14T21:57:42.3290312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3303194Z y = self.forward_features(x) 2025-08-14T21:57:42.3303628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3303713Z yl = self.stages(x) 2025-08-14T21:57:42.3303951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3304127Z yl = self.stage4(xl) 2025-08-14T21:57:42.3304354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3304424Z x = module(x) 2025-08-14T21:57:42.3304639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.3304720Z y = f(x[j]) 2025-08-14T21:57:42.3304727Z 2025-08-14T21:57:42.3304855Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3305098Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3305176Z return mod(*inputs) 2025-08-14T21:57:42.3305504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3305602Z y = self.forward_features(x) 2025-08-14T21:57:42.3305848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3305920Z yl = self.stages(x) 2025-08-14T21:57:42.3306134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3306207Z yl = self.stage4(xl) 2025-08-14T21:57:42.3306415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3306493Z x = module(x) 2025-08-14T21:57:42.3306697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.3306769Z y = f(x[j]) 2025-08-14T21:57:42.3306774Z 2025-08-14T21:57:42.3306891Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3307162Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3307242Z return mod(*inputs) 2025-08-14T21:57:42.3307450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3307528Z y = self.forward_features(x) 2025-08-14T21:57:42.3307779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3307847Z yl = self.stages(x) 2025-08-14T21:57:42.3308057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3308128Z yl = self.stage4(xl) 2025-08-14T21:57:42.3308328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3308399Z x = module(x) 2025-08-14T21:57:42.3308599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.3308663Z y = f(x[j]) 2025-08-14T21:57:42.3308675Z 2025-08-14T21:57:42.3308790Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3309007Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3309083Z return mod(*inputs) 2025-08-14T21:57:42.3309287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3309363Z y = self.forward_features(x) 2025-08-14T21:57:42.3309646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3309741Z yl = self.stages(x) 2025-08-14T21:57:42.3309943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3310011Z yl = self.stage4(xl) 2025-08-14T21:57:42.3310205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3310276Z x = module(x) 2025-08-14T21:57:42.3310471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.3310536Z y = y + f(x[j]) 2025-08-14T21:57:42.3310558Z 2025-08-14T21:57:42.3310678Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3310885Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3310962Z return mod(*inputs) 2025-08-14T21:57:42.3311160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3311238Z y = self.forward_features(x) 2025-08-14T21:57:42.3311471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3311537Z yl = self.stages(x) 2025-08-14T21:57:42.3311732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3311810Z yl = self.stage4(xl) 2025-08-14T21:57:42.3312007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3312079Z x = module(x) 2025-08-14T21:57:42.3312283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.3312352Z y = y + f(x[j]) 2025-08-14T21:57:42.3312356Z 2025-08-14T21:57:42.3312478Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3312702Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3312770Z return mod(*inputs) 2025-08-14T21:57:42.3312977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3313050Z y = self.forward_features(x) 2025-08-14T21:57:42.3313302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3313372Z yl = self.stages(x) 2025-08-14T21:57:42.3313566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3313642Z yl = self.stage4(xl) 2025-08-14T21:57:42.3313840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3313902Z x = module(x) 2025-08-14T21:57:42.3314108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.3314175Z y = y + f(x[j]) 2025-08-14T21:57:42.3314179Z 2025-08-14T21:57:42.3314294Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3314501Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3314567Z return mod(*inputs) 2025-08-14T21:57:42.3314776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3314851Z y = self.forward_features(x) 2025-08-14T21:57:42.3315082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3315160Z yl = self.stages(x) 2025-08-14T21:57:42.3315356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3315432Z yl = self.stage4(xl) 2025-08-14T21:57:42.3315632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3315729Z x = module(x) 2025-08-14T21:57:42.3315933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.3315996Z y = y + f(x[j]) 2025-08-14T21:57:42.3315999Z 2025-08-14T21:57:42.3316107Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3316325Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3316393Z return mod(*inputs) 2025-08-14T21:57:42.3316599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3316694Z y = self.forward_features(x) 2025-08-14T21:57:42.3316920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3316994Z yl = self.stages(x) 2025-08-14T21:57:42.3317190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3317259Z yl = self.stage4(xl) 2025-08-14T21:57:42.3317494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3317557Z x = module(x) 2025-08-14T21:57:42.3317782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:57:42.3317865Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:57:42.3317869Z 2025-08-14T21:57:42.3317978Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3318206Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3318273Z return mod(*inputs) 2025-08-14T21:57:42.3318493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3318574Z y = self.forward_features(x) 2025-08-14T21:57:42.3318804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3318877Z yl = self.stages(x) 2025-08-14T21:57:42.3319106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3319181Z yl = self.stage4(xl) 2025-08-14T21:57:42.3319401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3319485Z x = module(x) 2025-08-14T21:57:42.3319691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3319757Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3319968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.3320034Z x = self.conv1(x) 2025-08-14T21:57:42.3320038Z 2025-08-14T21:57:42.3320145Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3320357Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3320426Z return mod(*inputs) 2025-08-14T21:57:42.3320655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3320737Z y = self.forward_features(x) 2025-08-14T21:57:42.3320959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3321033Z yl = self.stages(x) 2025-08-14T21:57:42.3321251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3321319Z yl = self.stage4(xl) 2025-08-14T21:57:42.3321542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3321603Z x = module(x) 2025-08-14T21:57:42.3321821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3321913Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3322133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.3322205Z x = self.act1(x) 2025-08-14T21:57:42.3322208Z 2025-08-14T21:57:42.3322314Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3322539Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3322614Z return mod(*inputs) 2025-08-14T21:57:42.3322808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3322901Z y = self.forward_features(x) 2025-08-14T21:57:42.3323150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3323217Z yl = self.stages(x) 2025-08-14T21:57:42.3323441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3323513Z yl = self.stage4(xl) 2025-08-14T21:57:42.3323745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3323812Z x = module(x) 2025-08-14T21:57:42.3324035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3324102Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3324310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.3324377Z x = self.conv2(x) 2025-08-14T21:57:42.3324380Z 2025-08-14T21:57:42.3324497Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3324722Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3324788Z return mod(*inputs) 2025-08-14T21:57:42.3325012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3325088Z y = self.forward_features(x) 2025-08-14T21:57:42.3325311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3325387Z yl = self.stages(x) 2025-08-14T21:57:42.3325607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3325683Z yl = self.stage4(xl) 2025-08-14T21:57:42.3325940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3326006Z x = module(x) 2025-08-14T21:57:42.3326222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3326292Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3326497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.3326925Z x = self.act2(x) 2025-08-14T21:57:42.3326938Z 2025-08-14T21:57:42.3327137Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3327443Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3327514Z return mod(*inputs) 2025-08-14T21:57:42.3327734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3327817Z y = self.forward_features(x) 2025-08-14T21:57:42.3328058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3328125Z yl = self.stages(x) 2025-08-14T21:57:42.3328337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3328406Z yl = self.stage4(xl) 2025-08-14T21:57:42.3328612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3328751Z x = module(x) 2025-08-14T21:57:42.3328983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3329060Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3329267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.3329335Z x = self.conv1(x) 2025-08-14T21:57:42.3329339Z 2025-08-14T21:57:42.3329462Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3329674Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3329752Z return mod(*inputs) 2025-08-14T21:57:42.3329980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3330059Z y = self.forward_features(x) 2025-08-14T21:57:42.3330300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3330371Z yl = self.stages(x) 2025-08-14T21:57:42.3330573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3330651Z yl = self.stage4(xl) 2025-08-14T21:57:42.3330854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3330926Z x = module(x) 2025-08-14T21:57:42.3331132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3331201Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3331419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.3331487Z x = self.act1(x) 2025-08-14T21:57:42.3331491Z 2025-08-14T21:57:42.3331602Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3331825Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3331896Z return mod(*inputs) 2025-08-14T21:57:42.3332106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3332182Z y = self.forward_features(x) 2025-08-14T21:57:42.3332417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3332495Z yl = self.stages(x) 2025-08-14T21:57:42.3332733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3332807Z yl = self.stage4(xl) 2025-08-14T21:57:42.3333018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3333084Z x = module(x) 2025-08-14T21:57:42.3333292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3333360Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3333569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.3333646Z x = self.conv2(x) 2025-08-14T21:57:42.3333650Z 2025-08-14T21:57:42.3333760Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3333971Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3334049Z return mod(*inputs) 2025-08-14T21:57:42.3334252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3334336Z y = self.forward_features(x) 2025-08-14T21:57:42.3334575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3334643Z yl = self.stages(x) 2025-08-14T21:57:42.3334849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3334941Z yl = self.stage4(xl) 2025-08-14T21:57:42.3335142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3335232Z x = module(x) 2025-08-14T21:57:42.3335436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3335511Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3335721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.3335790Z x = self.act2(x) 2025-08-14T21:57:42.3335794Z 2025-08-14T21:57:42.3335914Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3336143Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3336213Z return mod(*inputs) 2025-08-14T21:57:42.3336420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3336497Z y = self.forward_features(x) 2025-08-14T21:57:42.3336745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3336816Z yl = self.stages(x) 2025-08-14T21:57:42.3337015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3337093Z yl = self.stage4(xl) 2025-08-14T21:57:42.3337305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3337367Z x = module(x) 2025-08-14T21:57:42.3337572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3337640Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3337847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.3337912Z x = self.conv1(x) 2025-08-14T21:57:42.3337916Z 2025-08-14T21:57:42.3338030Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3338251Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3338324Z return mod(*inputs) 2025-08-14T21:57:42.3338524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3338607Z y = self.forward_features(x) 2025-08-14T21:57:42.3338872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3338951Z yl = self.stages(x) 2025-08-14T21:57:42.3339151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3339223Z yl = self.stage4(xl) 2025-08-14T21:57:42.3339437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3339502Z x = module(x) 2025-08-14T21:57:42.3339708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3339785Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3339995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.3340069Z x = self.act1(x) 2025-08-14T21:57:42.3340073Z 2025-08-14T21:57:42.3340183Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3340396Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3340473Z return mod(*inputs) 2025-08-14T21:57:42.3340676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3340752Z y = self.forward_features(x) 2025-08-14T21:57:42.3340997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3341065Z yl = self.stages(x) 2025-08-14T21:57:42.3341294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3341386Z yl = self.stage4(xl) 2025-08-14T21:57:42.3341586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3341659Z x = module(x) 2025-08-14T21:57:42.3341860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3341930Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3342144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.3342210Z x = self.conv2(x) 2025-08-14T21:57:42.3342215Z 2025-08-14T21:57:42.3342354Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3342567Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3342636Z return mod(*inputs) 2025-08-14T21:57:42.3342849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3342926Z y = self.forward_features(x) 2025-08-14T21:57:42.3343156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3343232Z yl = self.stages(x) 2025-08-14T21:57:42.3343432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3343510Z yl = self.stage4(xl) 2025-08-14T21:57:42.3343709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3343773Z x = module(x) 2025-08-14T21:57:42.3343983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3344050Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3344257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.3344331Z x = self.act2(x) 2025-08-14T21:57:42.3344337Z 2025-08-14T21:57:42.3344449Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3344667Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3344737Z return mod(*inputs) 2025-08-14T21:57:42.3344940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3345039Z y = self.forward_features(x) 2025-08-14T21:57:42.3345275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3345421Z yl = self.stages(x) 2025-08-14T21:57:42.3345637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3345709Z yl = self.stage4(xl) 2025-08-14T21:57:42.3345921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3345989Z x = module(x) 2025-08-14T21:57:42.3346193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3346268Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3346477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.3346544Z x = self.conv1(x) 2025-08-14T21:57:42.3346557Z 2025-08-14T21:57:42.3346671Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3346886Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3346975Z return mod(*inputs) 2025-08-14T21:57:42.3347173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3347248Z y = self.forward_features(x) 2025-08-14T21:57:42.3347485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3347597Z yl = self.stages(x) 2025-08-14T21:57:42.3347791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3347868Z yl = self.stage4(xl) 2025-08-14T21:57:42.3348068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3348138Z x = module(x) 2025-08-14T21:57:42.3348334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3348399Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3348623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.3348688Z x = self.act1(x) 2025-08-14T21:57:42.3348692Z 2025-08-14T21:57:42.3348799Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3349015Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3349085Z return mod(*inputs) 2025-08-14T21:57:42.3349288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3349361Z y = self.forward_features(x) 2025-08-14T21:57:42.3349589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3349661Z yl = self.stages(x) 2025-08-14T21:57:42.3349856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3349923Z yl = self.stage4(xl) 2025-08-14T21:57:42.3350133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3350195Z x = module(x) 2025-08-14T21:57:42.3350398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3350465Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3350667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.3350742Z x = self.conv2(x) 2025-08-14T21:57:42.3350746Z 2025-08-14T21:57:42.3350852Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3351063Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3351128Z return mod(*inputs) 2025-08-14T21:57:42.3351341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3351423Z y = self.forward_features(x) 2025-08-14T21:57:42.3351652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3351719Z yl = self.stages(x) 2025-08-14T21:57:42.3351920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3351991Z yl = self.stage4(xl) 2025-08-14T21:57:42.3352189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3352259Z x = module(x) 2025-08-14T21:57:42.3352454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3352528Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3352735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.3352801Z x = self.act2(x) 2025-08-14T21:57:42.3352805Z 2025-08-14T21:57:42.3352925Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3353140Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3353217Z return mod(*inputs) 2025-08-14T21:57:42.3353422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3353523Z y = self.forward_features(x) 2025-08-14T21:57:42.3353778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3353844Z yl = self.stages(x) 2025-08-14T21:57:42.3354035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3354109Z yl = self.stage4(xl) 2025-08-14T21:57:42.3354308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3354371Z x = module(x) 2025-08-14T21:57:42.3354573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.3354661Z y = y + f(x[j]) 2025-08-14T21:57:42.3354666Z 2025-08-14T21:57:42.3354782Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3354985Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3355054Z return mod(*inputs) 2025-08-14T21:57:42.3355269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3355345Z y = self.forward_features(x) 2025-08-14T21:57:42.3355591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3355660Z yl = self.stages(x) 2025-08-14T21:57:42.3355863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3355940Z yl = self.stage4(xl) 2025-08-14T21:57:42.3356145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3356209Z x = module(x) 2025-08-14T21:57:42.3356422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3356490Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3356702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.3356777Z x = self.conv1(x) 2025-08-14T21:57:42.3356781Z 2025-08-14T21:57:42.3356891Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3357122Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3357191Z return mod(*inputs) 2025-08-14T21:57:42.3357407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3357490Z y = self.forward_features(x) 2025-08-14T21:57:42.3357717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3357791Z yl = self.stages(x) 2025-08-14T21:57:42.3357983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3358051Z yl = self.stage4(xl) 2025-08-14T21:57:42.3358255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3358320Z x = module(x) 2025-08-14T21:57:42.3358550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3358624Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3358847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.3358914Z x = self.act1(x) 2025-08-14T21:57:42.3358926Z 2025-08-14T21:57:42.3359036Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3359265Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3359339Z return mod(*inputs) 2025-08-14T21:57:42.3359560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3359636Z y = self.forward_features(x) 2025-08-14T21:57:42.3359891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3359977Z yl = self.stages(x) 2025-08-14T21:57:42.3360182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3360249Z yl = self.stage4(xl) 2025-08-14T21:57:42.3360471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3360538Z x = module(x) 2025-08-14T21:57:42.3360769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3360833Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3361059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.3361129Z x = self.conv2(x) 2025-08-14T21:57:42.3361133Z 2025-08-14T21:57:42.3361247Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3361455Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3361523Z return mod(*inputs) 2025-08-14T21:57:42.3361756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3361830Z y = self.forward_features(x) 2025-08-14T21:57:42.3362057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3362131Z yl = self.stages(x) 2025-08-14T21:57:42.3362324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3362401Z yl = self.stage4(xl) 2025-08-14T21:57:42.3362594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3362656Z x = module(x) 2025-08-14T21:57:42.3362879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3362949Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3363148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.3363221Z x = self.act2(x) 2025-08-14T21:57:42.3363225Z 2025-08-14T21:57:42.3363331Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3363580Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3363650Z return mod(*inputs) 2025-08-14T21:57:42.3363869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3363950Z y = self.forward_features(x) 2025-08-14T21:57:42.3364191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3364257Z yl = self.stages(x) 2025-08-14T21:57:42.3364458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3364529Z yl = self.stage4(xl) 2025-08-14T21:57:42.3364762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3364826Z x = module(x) 2025-08-14T21:57:42.3365047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3365120Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3365346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.3365412Z x = self.conv1(x) 2025-08-14T21:57:42.3365415Z 2025-08-14T21:57:42.3365533Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3365740Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3365817Z return mod(*inputs) 2025-08-14T21:57:42.3366031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3366126Z y = self.forward_features(x) 2025-08-14T21:57:42.3366375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3366444Z yl = self.stages(x) 2025-08-14T21:57:42.3366638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3366718Z yl = self.stage4(xl) 2025-08-14T21:57:42.3366915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3366984Z x = module(x) 2025-08-14T21:57:42.3367228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3367295Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3367519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.3367587Z x = self.act1(x) 2025-08-14T21:57:42.3367592Z 2025-08-14T21:57:42.3367698Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3367935Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3368000Z return mod(*inputs) 2025-08-14T21:57:42.3368237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3368310Z y = self.forward_features(x) 2025-08-14T21:57:42.3368536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3368610Z yl = self.stages(x) 2025-08-14T21:57:42.3368831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3368899Z yl = self.stage4(xl) 2025-08-14T21:57:42.3369101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3369165Z x = module(x) 2025-08-14T21:57:42.3369368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3369433Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3369634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.3369704Z x = self.conv2(x) 2025-08-14T21:57:42.3369708Z 2025-08-14T21:57:42.3369833Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3370041Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3370116Z return mod(*inputs) 2025-08-14T21:57:42.3370313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3370394Z y = self.forward_features(x) 2025-08-14T21:57:42.3370620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3370689Z yl = self.stages(x) 2025-08-14T21:57:42.3370890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3370958Z yl = self.stage4(xl) 2025-08-14T21:57:42.3371153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3371223Z x = module(x) 2025-08-14T21:57:42.3371420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3371491Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3371693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.3371765Z x = self.act2(x) 2025-08-14T21:57:42.3371769Z 2025-08-14T21:57:42.3371887Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3372093Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3372201Z return mod(*inputs) 2025-08-14T21:57:42.3372400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3372473Z y = self.forward_features(x) 2025-08-14T21:57:42.3372710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3372775Z yl = self.stages(x) 2025-08-14T21:57:42.3372972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3373049Z yl = self.stage4(xl) 2025-08-14T21:57:42.3373263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3373333Z x = module(x) 2025-08-14T21:57:42.3373529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3373596Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3373804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.3373871Z x = self.conv1(x) 2025-08-14T21:57:42.3373876Z 2025-08-14T21:57:42.3373983Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3374195Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3374261Z return mod(*inputs) 2025-08-14T21:57:42.3374465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3374538Z y = self.forward_features(x) 2025-08-14T21:57:42.3374769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3374843Z yl = self.stages(x) 2025-08-14T21:57:42.3375039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3375108Z yl = self.stage4(xl) 2025-08-14T21:57:42.3375314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3375378Z x = module(x) 2025-08-14T21:57:42.3375582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3375648Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3375875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.3375950Z x = self.act1(x) 2025-08-14T21:57:42.3375954Z 2025-08-14T21:57:42.3376062Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3376268Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3376345Z return mod(*inputs) 2025-08-14T21:57:42.3376542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3376625Z y = self.forward_features(x) 2025-08-14T21:57:42.3376855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3376922Z yl = self.stages(x) 2025-08-14T21:57:42.3377128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3377197Z yl = self.stage4(xl) 2025-08-14T21:57:42.3377397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3377468Z x = module(x) 2025-08-14T21:57:42.3377666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3377743Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3377949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.3378015Z x = self.conv2(x) 2025-08-14T21:57:42.3378019Z 2025-08-14T21:57:42.3378155Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3378391Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3378458Z return mod(*inputs) 2025-08-14T21:57:42.3378659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3378730Z y = self.forward_features(x) 2025-08-14T21:57:42.3378964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3379029Z yl = self.stages(x) 2025-08-14T21:57:42.3379239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3379315Z yl = self.stage4(xl) 2025-08-14T21:57:42.3379510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3379571Z x = module(x) 2025-08-14T21:57:42.3379776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3379843Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3380053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:57:42.3380117Z x = self.act2(x) 2025-08-14T21:57:42.3380120Z 2025-08-14T21:57:42.3380227Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3380443Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3380510Z return mod(*inputs) 2025-08-14T21:57:42.3380713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3380795Z y = self.forward_features(x) 2025-08-14T21:57:42.3381022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3381099Z yl = self.stages(x) 2025-08-14T21:57:42.3381295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3381364Z yl = self.stage4(xl) 2025-08-14T21:57:42.3381568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3381631Z x = module(x) 2025-08-14T21:57:42.3381835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3381927Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3382137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:57:42.3382212Z x = self.conv1(x) 2025-08-14T21:57:42.3382216Z 2025-08-14T21:57:42.3382325Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3382533Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3382610Z return mod(*inputs) 2025-08-14T21:57:42.3382812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3382889Z y = self.forward_features(x) 2025-08-14T21:57:42.3383126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3383194Z yl = self.stages(x) 2025-08-14T21:57:42.3383396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3383467Z yl = self.stage4(xl) 2025-08-14T21:57:42.3383666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3383737Z x = module(x) 2025-08-14T21:57:42.3383938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3384005Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3384218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:57:42.3384302Z x = self.act1(x) 2025-08-14T21:57:42.3384324Z 2025-08-14T21:57:42.3384439Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3384647Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3384718Z return mod(*inputs) 2025-08-14T21:57:42.3384923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3384999Z y = self.forward_features(x) 2025-08-14T21:57:42.3385228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3385407Z yl = self.stages(x) 2025-08-14T21:57:42.3385621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3385701Z yl = self.stage4(xl) 2025-08-14T21:57:42.3385904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3385971Z x = module(x) 2025-08-14T21:57:42.3386191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:57:42.3386258Z x[i] = branch(x[i]) 2025-08-14T21:57:42.3386465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:57:42.3386550Z x = self.conv2(x) 2025-08-14T21:57:42.3386553Z 2025-08-14T21:57:42.3386663Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3386885Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3386955Z return mod(*inputs) 2025-08-14T21:57:42.3387158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3387241Z y = self.forward_features(x) 2025-08-14T21:57:42.3387470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:57:42.3387558Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:57:42.3387773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 209, in forward 2025-08-14T21:57:42.3387840Z x = self.conv1(x) 2025-08-14T21:57:42.3387843Z 2025-08-14T21:57:42.3387961Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3388224Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3388295Z return mod(*inputs) 2025-08-14T21:57:42.3388504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3388581Z y = self.forward_features(x) 2025-08-14T21:57:42.3388812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:57:42.3388906Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:57:42.3389114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 211, in forward 2025-08-14T21:57:42.3389190Z x = self.act1(x) 2025-08-14T21:57:42.3389193Z 2025-08-14T21:57:42.3389305Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3389516Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3389594Z return mod(*inputs) 2025-08-14T21:57:42.3389796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3389872Z y = self.forward_features(x) 2025-08-14T21:57:42.3390114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:57:42.3390194Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:57:42.3390409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 213, in forward 2025-08-14T21:57:42.3390496Z x = self.conv2(x) 2025-08-14T21:57:42.3390499Z 2025-08-14T21:57:42.3390626Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3390843Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3390913Z return mod(*inputs) 2025-08-14T21:57:42.3391131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3391210Z y = self.forward_features(x) 2025-08-14T21:57:42.3391447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:57:42.3391535Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:57:42.3391761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 216, in forward 2025-08-14T21:57:42.3391833Z x = self.act2(x) 2025-08-14T21:57:42.3391837Z 2025-08-14T21:57:42.3391956Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3392168Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3392245Z return mod(*inputs) 2025-08-14T21:57:42.3392446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3392523Z y = self.forward_features(x) 2025-08-14T21:57:42.3392761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:57:42.3392839Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:57:42.3393044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 219, in forward 2025-08-14T21:57:42.3393120Z x = self.conv3(x) 2025-08-14T21:57:42.3393124Z 2025-08-14T21:57:42.3393231Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3393445Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3393515Z return mod(*inputs) 2025-08-14T21:57:42.3393718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3393804Z y = self.forward_features(x) 2025-08-14T21:57:42.3394034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:57:42.3394112Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:57:42.3394344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 229, in forward 2025-08-14T21:57:42.3394438Z shortcut = self.downsample(shortcut) 2025-08-14T21:57:42.3394442Z 2025-08-14T21:57:42.3394559Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3394771Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3394841Z return mod(*inputs) 2025-08-14T21:57:42.3395054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3395135Z y = self.forward_features(x) 2025-08-14T21:57:42.3395371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3395450Z yl = self.stages(x) 2025-08-14T21:57:42.3395654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3395738Z yl = self.stage4(xl) 2025-08-14T21:57:42.3395945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3396013Z x = module(x) 2025-08-14T21:57:42.3396226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.3396295Z y = f(x[j]) 2025-08-14T21:57:42.3396298Z 2025-08-14T21:57:42.3396413Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3396637Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3396738Z return mod(*inputs) 2025-08-14T21:57:42.3396944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3397018Z y = self.forward_features(x) 2025-08-14T21:57:42.3397252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3397328Z yl = self.stages(x) 2025-08-14T21:57:42.3397530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3397600Z yl = self.stage4(xl) 2025-08-14T21:57:42.3397821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3397887Z x = module(x) 2025-08-14T21:57:42.3398097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.3398162Z y = f(x[j]) 2025-08-14T21:57:42.3398166Z 2025-08-14T21:57:42.3398279Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3398498Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3398566Z return mod(*inputs) 2025-08-14T21:57:42.3398773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3398849Z y = self.forward_features(x) 2025-08-14T21:57:42.3399080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3399155Z yl = self.stages(x) 2025-08-14T21:57:42.3399354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3399425Z yl = self.stage4(xl) 2025-08-14T21:57:42.3399632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3399699Z x = module(x) 2025-08-14T21:57:42.3399900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.3399970Z y = f(x[j]) 2025-08-14T21:57:42.3399974Z 2025-08-14T21:57:42.3400084Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3400299Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3400367Z return mod(*inputs) 2025-08-14T21:57:42.3400583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3400672Z y = self.forward_features(x) 2025-08-14T21:57:42.3400910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3400989Z yl = self.stages(x) 2025-08-14T21:57:42.3401203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3401275Z yl = self.stage4(xl) 2025-08-14T21:57:42.3401482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3401547Z x = module(x) 2025-08-14T21:57:42.3401744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.3401816Z y = y + f(x[j]) 2025-08-14T21:57:42.3401820Z 2025-08-14T21:57:42.3401929Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3402147Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3402215Z return mod(*inputs) 2025-08-14T21:57:42.3402416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3402499Z y = self.forward_features(x) 2025-08-14T21:57:42.3402732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3402828Z yl = self.stages(x) 2025-08-14T21:57:42.3403046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3403114Z yl = self.stage4(xl) 2025-08-14T21:57:42.3403314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3403376Z x = module(x) 2025-08-14T21:57:42.3403573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.3403644Z y = y + f(x[j]) 2025-08-14T21:57:42.3403649Z 2025-08-14T21:57:42.3403757Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3403976Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3404054Z return mod(*inputs) 2025-08-14T21:57:42.3404258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3404346Z y = self.forward_features(x) 2025-08-14T21:57:42.3404577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3404647Z yl = self.stages(x) 2025-08-14T21:57:42.3404851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3404921Z yl = self.stage4(xl) 2025-08-14T21:57:42.3405123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3405199Z x = module(x) 2025-08-14T21:57:42.3405398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.3405471Z y = y + f(x[j]) 2025-08-14T21:57:42.3405475Z 2025-08-14T21:57:42.3405587Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3405801Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3405881Z return mod(*inputs) 2025-08-14T21:57:42.3406087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3406177Z y = self.forward_features(x) 2025-08-14T21:57:42.3406414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3406482Z yl = self.stages(x) 2025-08-14T21:57:42.3406700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3406771Z yl = self.stage4(xl) 2025-08-14T21:57:42.3406973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3407043Z x = module(x) 2025-08-14T21:57:42.3407246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.3407310Z y = y + f(x[j]) 2025-08-14T21:57:42.3407315Z 2025-08-14T21:57:42.3407435Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3407656Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3407731Z return mod(*inputs) 2025-08-14T21:57:42.3407927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3408000Z y = self.forward_features(x) 2025-08-14T21:57:42.3408238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3408303Z yl = self.stages(x) 2025-08-14T21:57:42.3408502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3408578Z yl = self.stage4(xl) 2025-08-14T21:57:42.3408776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3408867Z x = module(x) 2025-08-14T21:57:42.3409061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:57:42.3409162Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:57:42.3409166Z 2025-08-14T21:57:42.3409285Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3409497Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3409562Z return mod(*inputs) 2025-08-14T21:57:42.3409758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3409839Z y = self.forward_features(x) 2025-08-14T21:57:42.3410083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:57:42.3410168Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:57:42.3410371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 209, in forward 2025-08-14T21:57:42.3410440Z x = self.conv1(x) 2025-08-14T21:57:42.3410445Z 2025-08-14T21:57:42.3410558Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3410763Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3410831Z return mod(*inputs) 2025-08-14T21:57:42.3411035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3411110Z y = self.forward_features(x) 2025-08-14T21:57:42.3411342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:57:42.3411422Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:57:42.3411626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 211, in forward 2025-08-14T21:57:42.3411698Z x = self.act1(x) 2025-08-14T21:57:42.3411702Z 2025-08-14T21:57:42.3411810Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3412021Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3412088Z return mod(*inputs) 2025-08-14T21:57:42.3412282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3412363Z y = self.forward_features(x) 2025-08-14T21:57:42.3412605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:57:42.3412684Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:57:42.3412892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 213, in forward 2025-08-14T21:57:42.3412960Z x = self.conv2(x) 2025-08-14T21:57:42.3412964Z 2025-08-14T21:57:42.3413078Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3413279Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3413348Z return mod(*inputs) 2025-08-14T21:57:42.3413552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3413624Z y = self.forward_features(x) 2025-08-14T21:57:42.3413848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:57:42.3413932Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:57:42.3414133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 216, in forward 2025-08-14T21:57:42.3414203Z x = self.act2(x) 2025-08-14T21:57:42.3414207Z 2025-08-14T21:57:42.3414312Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3414514Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3414589Z return mod(*inputs) 2025-08-14T21:57:42.3414784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3414890Z y = self.forward_features(x) 2025-08-14T21:57:42.3415124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:57:42.3415202Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:57:42.3415412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 219, in forward 2025-08-14T21:57:42.3415478Z x = self.conv3(x) 2025-08-14T21:57:42.3415483Z 2025-08-14T21:57:42.3415591Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3415805Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3415888Z return mod(*inputs) 2025-08-14T21:57:42.3416084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3416164Z y = self.forward_features(x) 2025-08-14T21:57:42.3416390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:57:42.3416475Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:57:42.3416673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 229, in forward 2025-08-14T21:57:42.3416761Z shortcut = self.downsample(shortcut) 2025-08-14T21:57:42.3416765Z 2025-08-14T21:57:42.3416878Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3417082Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3417155Z return mod(*inputs) 2025-08-14T21:57:42.3417352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3417424Z y = self.forward_features(x) 2025-08-14T21:57:42.3417653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3417720Z yl = self.stages(x) 2025-08-14T21:57:42.3417910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3417987Z yl = self.stage4(xl) 2025-08-14T21:57:42.3418180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3418244Z x = module(x) 2025-08-14T21:57:42.3418464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:57:42.3418528Z y = f(x[j]) 2025-08-14T21:57:42.3418532Z 2025-08-14T21:57:42.3418648Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3418858Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3418925Z return mod(*inputs) 2025-08-14T21:57:42.3419130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3419205Z y = self.forward_features(x) 2025-08-14T21:57:42.3419441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3419510Z yl = self.stages(x) 2025-08-14T21:57:42.3419704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3419780Z yl = self.stage4(xl) 2025-08-14T21:57:42.3419979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3420041Z x = module(x) 2025-08-14T21:57:42.3420245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.3420311Z y = y + f(x[j]) 2025-08-14T21:57:42.3420314Z 2025-08-14T21:57:42.3420428Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3420638Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3420725Z return mod(*inputs) 2025-08-14T21:57:42.3420953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3421028Z y = self.forward_features(x) 2025-08-14T21:57:42.3421263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3421340Z yl = self.stages(x) 2025-08-14T21:57:42.3421541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3421620Z yl = self.stage4(xl) 2025-08-14T21:57:42.3421848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3421922Z x = module(x) 2025-08-14T21:57:42.3422144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.3422206Z y = y + f(x[j]) 2025-08-14T21:57:42.3422211Z 2025-08-14T21:57:42.3422319Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3422539Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3422609Z return mod(*inputs) 2025-08-14T21:57:42.3422831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3422907Z y = self.forward_features(x) 2025-08-14T21:57:42.3423138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3423214Z yl = self.stages(x) 2025-08-14T21:57:42.3423416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3423486Z yl = self.stage4(xl) 2025-08-14T21:57:42.3423694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3423758Z x = module(x) 2025-08-14T21:57:42.3423968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.3424035Z y = y + f(x[j]) 2025-08-14T21:57:42.3424038Z 2025-08-14T21:57:42.3424148Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3424369Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3424437Z return mod(*inputs) 2025-08-14T21:57:42.3424676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3424762Z y = self.forward_features(x) 2025-08-14T21:57:42.3424997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3425072Z yl = self.stages(x) 2025-08-14T21:57:42.3425271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3425415Z yl = self.stage4(xl) 2025-08-14T21:57:42.3425638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3425705Z x = module(x) 2025-08-14T21:57:42.3425925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.3426001Z y = y + f(x[j]) 2025-08-14T21:57:42.3426004Z 2025-08-14T21:57:42.3426116Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3426392Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3426462Z return mod(*inputs) 2025-08-14T21:57:42.3426894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3427020Z y = self.forward_features(x) 2025-08-14T21:57:42.3427362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3427501Z yl = self.stages(x) 2025-08-14T21:57:42.3427717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3427823Z yl = self.stage4(xl) 2025-08-14T21:57:42.3428049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3428113Z x = module(x) 2025-08-14T21:57:42.3428330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:57:42.3428424Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:57:42.3428429Z 2025-08-14T21:57:42.3428541Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3428782Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3428860Z return mod(*inputs) 2025-08-14T21:57:42.3429063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3429147Z y = self.forward_features(x) 2025-08-14T21:57:42.3429381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:57:42.3429461Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:57:42.3429673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 209, in forward 2025-08-14T21:57:42.3429740Z x = self.conv1(x) 2025-08-14T21:57:42.3429743Z 2025-08-14T21:57:42.3429854Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3430073Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3430142Z return mod(*inputs) 2025-08-14T21:57:42.3430366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3430442Z y = self.forward_features(x) 2025-08-14T21:57:42.3430676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:57:42.3430766Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:57:42.3430975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 211, in forward 2025-08-14T21:57:42.3431042Z x = self.act1(x) 2025-08-14T21:57:42.3431052Z 2025-08-14T21:57:42.3431162Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3431408Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3431490Z return mod(*inputs) 2025-08-14T21:57:42.3431704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3431781Z y = self.forward_features(x) 2025-08-14T21:57:42.3432020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:57:42.3432099Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:57:42.3432308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 213, in forward 2025-08-14T21:57:42.3432384Z x = self.conv2(x) 2025-08-14T21:57:42.3432387Z 2025-08-14T21:57:42.3432496Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3432713Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3432783Z return mod(*inputs) 2025-08-14T21:57:42.3432985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3433069Z y = self.forward_features(x) 2025-08-14T21:57:42.3433303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:57:42.3433386Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:57:42.3433592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 216, in forward 2025-08-14T21:57:42.3433659Z x = self.act2(x) 2025-08-14T21:57:42.3433681Z 2025-08-14T21:57:42.3433801Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3434027Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3434096Z return mod(*inputs) 2025-08-14T21:57:42.3434304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3434382Z y = self.forward_features(x) 2025-08-14T21:57:42.3434623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:57:42.3434700Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:57:42.3434926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 219, in forward 2025-08-14T21:57:42.3435004Z x = self.conv3(x) 2025-08-14T21:57:42.3435007Z 2025-08-14T21:57:42.3435116Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3435329Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3435411Z return mod(*inputs) 2025-08-14T21:57:42.3435613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3435705Z y = self.forward_features(x) 2025-08-14T21:57:42.3435929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:57:42.3436005Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:57:42.3436211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 229, in forward 2025-08-14T21:57:42.3436298Z shortcut = self.downsample(shortcut) 2025-08-14T21:57:42.3436303Z 2025-08-14T21:57:42.3436409Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3436622Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3436691Z return mod(*inputs) 2025-08-14T21:57:42.3436896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3436972Z y = self.forward_features(x) 2025-08-14T21:57:42.3437197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3437272Z yl = self.stages(x) 2025-08-14T21:57:42.3437485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3437556Z yl = self.stage4(xl) 2025-08-14T21:57:42.3437761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3437826Z x = module(x) 2025-08-14T21:57:42.3438031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.3438093Z y = y + f(x[j]) 2025-08-14T21:57:42.3438097Z 2025-08-14T21:57:42.3438204Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3438418Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3438487Z return mod(*inputs) 2025-08-14T21:57:42.3438683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3438763Z y = self.forward_features(x) 2025-08-14T21:57:42.3438993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3439067Z yl = self.stages(x) 2025-08-14T21:57:42.3439262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3439332Z yl = self.stage4(xl) 2025-08-14T21:57:42.3439535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3439599Z x = module(x) 2025-08-14T21:57:42.3439795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.3439929Z y = y + f(x[j]) 2025-08-14T21:57:42.3439933Z 2025-08-14T21:57:42.3440040Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3440255Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3440321Z return mod(*inputs) 2025-08-14T21:57:42.3440521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3440601Z y = self.forward_features(x) 2025-08-14T21:57:42.3440851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3440927Z yl = self.stages(x) 2025-08-14T21:57:42.3441123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3441192Z yl = self.stage4(xl) 2025-08-14T21:57:42.3441399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3441463Z x = module(x) 2025-08-14T21:57:42.3441661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.3441728Z y = y + f(x[j]) 2025-08-14T21:57:42.3441732Z 2025-08-14T21:57:42.3441839Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3442051Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3442117Z return mod(*inputs) 2025-08-14T21:57:42.3442315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3442398Z y = self.forward_features(x) 2025-08-14T21:57:42.3442626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3442692Z yl = self.stages(x) 2025-08-14T21:57:42.3442899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3442968Z yl = self.stage4(xl) 2025-08-14T21:57:42.3443173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3443234Z x = module(x) 2025-08-14T21:57:42.3443430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.3443518Z y = y + f(x[j]) 2025-08-14T21:57:42.3443522Z 2025-08-14T21:57:42.3443629Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3443835Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3443911Z return mod(*inputs) 2025-08-14T21:57:42.3444106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3444186Z y = self.forward_features(x) 2025-08-14T21:57:42.3444413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3444481Z yl = self.stages(x) 2025-08-14T21:57:42.3444679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3444746Z yl = self.stage4(xl) 2025-08-14T21:57:42.3444940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3445012Z x = module(x) 2025-08-14T21:57:42.3445206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.3445268Z y = y + f(x[j]) 2025-08-14T21:57:42.3445281Z 2025-08-14T21:57:42.3445387Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3445591Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3445664Z return mod(*inputs) 2025-08-14T21:57:42.3445884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3445976Z y = self.forward_features(x) 2025-08-14T21:57:42.3446211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3446277Z yl = self.stages(x) 2025-08-14T21:57:42.3446479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3446547Z yl = self.stage4(xl) 2025-08-14T21:57:42.3446742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3446811Z x = module(x) 2025-08-14T21:57:42.3447469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:57:42.3447537Z y = y + f(x[j]) 2025-08-14T21:57:42.3447541Z 2025-08-14T21:57:42.3447658Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3447867Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3447945Z return mod(*inputs) 2025-08-14T21:57:42.3448143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3448216Z y = self.forward_features(x) 2025-08-14T21:57:42.3448455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:57:42.3448523Z yl = self.stages(x) 2025-08-14T21:57:42.3448719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:57:42.3448798Z yl = self.stage4(xl) 2025-08-14T21:57:42.3448995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:57:42.3449066Z x = module(x) 2025-08-14T21:57:42.3449264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:57:42.3449348Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:57:42.3449352Z 2025-08-14T21:57:42.3449466Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3449669Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3449735Z return mod(*inputs) 2025-08-14T21:57:42.3449957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3450032Z y = self.forward_features(x) 2025-08-14T21:57:42.3450267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 777, in forward_features 2025-08-14T21:57:42.3450333Z y = incre(yl[i]) 2025-08-14T21:57:42.3450531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 209, in forward 2025-08-14T21:57:42.3450603Z x = self.conv1(x) 2025-08-14T21:57:42.3450608Z 2025-08-14T21:57:42.3450714Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3450923Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3450997Z return mod(*inputs) 2025-08-14T21:57:42.3451195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3451273Z y = self.forward_features(x) 2025-08-14T21:57:42.3451505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 777, in forward_features 2025-08-14T21:57:42.3451569Z y = incre(yl[i]) 2025-08-14T21:57:42.3451780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 211, in forward 2025-08-14T21:57:42.3451845Z x = self.act1(x) 2025-08-14T21:57:42.3451849Z 2025-08-14T21:57:42.3451957Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3452169Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3452260Z return mod(*inputs) 2025-08-14T21:57:42.3452483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3452555Z y = self.forward_features(x) 2025-08-14T21:57:42.3452781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 777, in forward_features 2025-08-14T21:57:42.3452854Z y = incre(yl[i]) 2025-08-14T21:57:42.3453056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 213, in forward 2025-08-14T21:57:42.3453122Z x = self.conv2(x) 2025-08-14T21:57:42.3453132Z 2025-08-14T21:57:42.3453255Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3453460Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3453535Z return mod(*inputs) 2025-08-14T21:57:42.3453738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3453817Z y = self.forward_features(x) 2025-08-14T21:57:42.3454055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 777, in forward_features 2025-08-14T21:57:42.3454122Z y = incre(yl[i]) 2025-08-14T21:57:42.3454327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 216, in forward 2025-08-14T21:57:42.3454402Z x = self.act2(x) 2025-08-14T21:57:42.3454407Z 2025-08-14T21:57:42.3454517Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3454731Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3454803Z return mod(*inputs) 2025-08-14T21:57:42.3455004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3455089Z y = self.forward_features(x) 2025-08-14T21:57:42.3455322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 777, in forward_features 2025-08-14T21:57:42.3455390Z y = incre(yl[i]) 2025-08-14T21:57:42.3455607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 219, in forward 2025-08-14T21:57:42.3455675Z x = self.conv3(x) 2025-08-14T21:57:42.3455678Z 2025-08-14T21:57:42.3455794Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3456021Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3456089Z return mod(*inputs) 2025-08-14T21:57:42.3456299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3456372Z y = self.forward_features(x) 2025-08-14T21:57:42.3456604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 777, in forward_features 2025-08-14T21:57:42.3456667Z y = incre(yl[i]) 2025-08-14T21:57:42.3456870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 229, in forward 2025-08-14T21:57:42.3456964Z shortcut = self.downsample(shortcut) 2025-08-14T21:57:42.3456968Z 2025-08-14T21:57:42.3457074Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3457276Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3457351Z return mod(*inputs) 2025-08-14T21:57:42.3457549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3457630Z y = self.forward_features(x) 2025-08-14T21:57:42.3457859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:57:42.3457937Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:57:42.3457941Z 2025-08-14T21:57:42.3458057Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3458278Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3458366Z return mod(*inputs) 2025-08-14T21:57:42.3458572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3458645Z y = self.forward_features(x) 2025-08-14T21:57:42.3458877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:57:42.3458956Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:57:42.3458960Z 2025-08-14T21:57:42.3459066Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3459295Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3459366Z return mod(*inputs) 2025-08-14T21:57:42.3459563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3459647Z y = self.forward_features(x) 2025-08-14T21:57:42.3459882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:57:42.3459966Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:57:42.3459970Z 2025-08-14T21:57:42.3460077Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3460282Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3460358Z return mod(*inputs) 2025-08-14T21:57:42.3460556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:57:42.3460636Z y = self.forward_features(x) 2025-08-14T21:57:42.3460864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 782, in forward_features 2025-08-14T21:57:42.3460941Z y = self.final_layer(y) 2025-08-14T21:57:42.3460944Z 2025-08-14T21:57:42.3461036Z cudagraph partition due to non gpu ops 2025-08-14T21:57:42.3461143Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3461348Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3461422Z return mod(*inputs) 2025-08-14T21:57:42.3461619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 793, in forward 2025-08-14T21:57:42.3461700Z x = self.forward_head(y) 2025-08-14T21:57:42.3461935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 787, in forward_head 2025-08-14T21:57:42.3462011Z x = self.global_pool(x) 2025-08-14T21:57:42.3462277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward 2025-08-14T21:57:42.3462347Z x = self.pool(x) 2025-08-14T21:57:42.3462350Z 2025-08-14T21:57:42.3462457Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:42.3462686Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:42.3462767Z return mod(*inputs) 2025-08-14T21:57:42.3462974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 793, in forward 2025-08-14T21:57:42.3463047Z x = self.forward_head(y) 2025-08-14T21:57:42.3463266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 789, in forward_head 2025-08-14T21:57:42.3463381Z return x if pre_logits else self.classifier(x) 2025-08-14T21:57:42.3463387Z 2025-08-14T21:58:10.8728444Z Compilation time (from dynamo_timed): 93.728659351 2025-08-14T21:58:10.8728774Z pass 2025-08-14T21:58:10.8729143Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:58:10.8730048Z TIMING: _recursive_pre_grad_passes:0.03029 _recursive_joint_graph_passes:0.40683 _recursive_post_grad_passes:0.69168 async_compile.wait:5.79654 code_gen:23.04838 inductor_compile:38.85632 backend_compile:70.92223 gc:0.00052 entire_frame_compile:93.72866 total_wall_time:93.72866 2025-08-14T21:58:10.8732170Z STATS: call_* op count: 1146 | FakeTensorMode.__torch_dispatch__:64521 | attempt fast:155 | fast is_contiguous:155 | FakeTensor.__torch_dispatch__:41261 | ProxyTorchDispatchMode.__torch_dispatch__:30315 2025-08-14T21:58:10.8732874Z Dynamo produced 1 graphs covering 1146 ops with 0 graph breaks (0 unique) 2025-08-14T21:58:19.7706429Z 2025-08-14T21:58:20.0371361Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:58:20.0371617Z 2025-08-14T21:58:20.1397219Z model.safetensors: 0% 0.00/95.5M [00:00> $GITHUB_ENV 2025-08-14T22:03:18.8068808Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-08-14T22:03:18.8077260Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:03:18.8077523Z env: 2025-08-14T22:03:18.8077701Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:03:18.8078021Z DOCKER_CONTAINER_ID: de3ef7ccb7eac1c69948a5a6ef9b13fcfd68d45a19f40d27f7d2baac5b107ed1 2025-08-14T22:03:18.8078352Z ##[endgroup] 2025-08-14T22:03:18.8109615Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-08-14T22:03:18.9959873Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T22:03:19.7854625Z Collecting boto3==1.35.33 2025-08-14T22:03:19.8005456Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-08-14T22:03:20.0371629Z Collecting psutil==7.0.0 2025-08-14T22:03:20.0411860Z 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) 2025-08-14T22:03:20.0655633Z Collecting pynvml==12.0.0 2025-08-14T22:03:20.0689694Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-08-14T22:03:20.9018947Z Collecting botocore<1.36.0,>=1.35.33 2025-08-14T22:03:20.9061933Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-08-14T22:03:20.9994916Z 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) 2025-08-14T22:03:21.0295352Z Collecting s3transfer<0.11.0,>=0.10.0 2025-08-14T22:03:21.0332869Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-08-14T22:03:21.0718513Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-08-14T22:03:21.0759248Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-08-14T22:03:21.0851303Z 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) 2025-08-14T22:03:21.0854071Z 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) 2025-08-14T22:03:21.1916363Z 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) 2025-08-14T22:03:21.2983445Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-08-14T22:03:21.6518515Z Attempting uninstall: nvidia-ml-py 2025-08-14T22:03:21.6518949Z Found existing installation: nvidia-ml-py 11.525.84 2025-08-14T22:03:21.6533090Z Uninstalling nvidia-ml-py-11.525.84: 2025-08-14T22:03:21.6665470Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-08-14T22:03:21.7190794Z Attempting uninstall: psutil 2025-08-14T22:03:21.7191577Z Found existing installation: psutil 5.9.8 2025-08-14T22:03:21.7239467Z Uninstalling psutil-5.9.8: 2025-08-14T22:03:21.7242277Z Successfully uninstalled psutil-5.9.8 2025-08-14T22:03:21.8599514Z 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 2025-08-14T22:03:21.9701804Z + DEVICE_NAME= 2025-08-14T22:03:21.9702046Z + DEVICE_TYPE= 2025-08-14T22:03:21.9702285Z + command -v nvidia-smi 2025-08-14T22:03:21.9702490Z + command -v rocminfo 2025-08-14T22:03:21.9702670Z + echo DEVICE_NAME= 2025-08-14T22:03:21.9702842Z + echo DEVICE_TYPE= 2025-08-14T22:03:21.9719097Z ##[group]Run set -eux 2025-08-14T22:03:21.9719373Z set -eux 2025-08-14T22:03:21.9719537Z  2025-08-14T22:03:21.9719707Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-08-14T22:03:21.9719949Z  echo "Missing github-token input" 2025-08-14T22:03:21.9720165Z  exit 1 2025-08-14T22:03:21.9720344Z fi 2025-08-14T22:03:21.9727676Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:03:21.9727945Z env: 2025-08-14T22:03:21.9728124Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:03:21.9728450Z DOCKER_CONTAINER_ID: de3ef7ccb7eac1c69948a5a6ef9b13fcfd68d45a19f40d27f7d2baac5b107ed1 2025-08-14T22:03:21.9728779Z DEVICE_NAME: 2025-08-14T22:03:21.9728965Z DEVICE_TYPE: 2025-08-14T22:03:21.9729395Z GITHUB_TOKEN: *** 2025-08-14T22:03:21.9729557Z ##[endgroup] 2025-08-14T22:03:21.9754969Z + [[ -z *** ]] 2025-08-14T22:03:21.9793573Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-08-14T22:03:21.9794721Z with: 2025-08-14T22:03:21.9795157Z github-token: *** 2025-08-14T22:03:21.9795436Z env: 2025-08-14T22:03:21.9795607Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:03:21.9795968Z DOCKER_CONTAINER_ID: de3ef7ccb7eac1c69948a5a6ef9b13fcfd68d45a19f40d27f7d2baac5b107ed1 2025-08-14T22:03:21.9796415Z DEVICE_NAME: 2025-08-14T22:03:21.9796589Z DEVICE_TYPE: 2025-08-14T22:03:21.9796801Z ##[endgroup] 2025-08-14T22:03:21.9809274Z ##[group]Run set -eux 2025-08-14T22:03:21.9809508Z set -eux 2025-08-14T22:03:21.9809667Z  2025-08-14T22:03:21.9809967Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-08-14T22:03:21.9814215Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:03:21.9814449Z env: 2025-08-14T22:03:21.9814597Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:03:21.9814880Z DOCKER_CONTAINER_ID: de3ef7ccb7eac1c69948a5a6ef9b13fcfd68d45a19f40d27f7d2baac5b107ed1 2025-08-14T22:03:21.9815189Z DEVICE_NAME: 2025-08-14T22:03:21.9815337Z DEVICE_TYPE: 2025-08-14T22:03:21.9815629Z GITHUB_TOKEN: *** 2025-08-14T22:03:21.9815780Z ##[endgroup] 2025-08-14T22:03:21.9840057Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 16976338999 i-07262e63ad92c7db0 2025-08-14T22:03:23.3861552Z setting job-id=48128301882 2025-08-14T22:03:23.3862802Z setting job-name=linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (dynamic_cpu_inductor_timm, 1, 2, linux.8xlarge.amx) 2025-08-14T22:03:23.3964580Z ##[group]Run set -eux 2025-08-14T22:03:23.3964786Z set -eux 2025-08-14T22:03:23.3964946Z  2025-08-14T22:03:23.3965207Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-08-14T22:03:23.3965535Z  --schema-version "${SCHEMA_VERSION}" \ 2025-08-14T22:03:23.3965762Z  --repo "${REPO}" \ 2025-08-14T22:03:23.3965968Z  --head-branch "${HEAD_BRANCH}" \ 2025-08-14T22:03:23.3966184Z  --head-sha "${HEAD_SHA}" \ 2025-08-14T22:03:23.3966423Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-08-14T22:03:23.3966655Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-08-14T22:03:23.3966868Z  --job-id "${JOB_ID}" \ 2025-08-14T22:03:23.3967072Z  --job-name "${JOB_NAME}" 2025-08-14T22:03:23.3971791Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:03:23.3972044Z env: 2025-08-14T22:03:23.3972207Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:03:23.3972538Z DOCKER_CONTAINER_ID: de3ef7ccb7eac1c69948a5a6ef9b13fcfd68d45a19f40d27f7d2baac5b107ed1 2025-08-14T22:03:23.3972863Z DEVICE_NAME: 2025-08-14T22:03:23.3973016Z DEVICE_TYPE: 2025-08-14T22:03:23.3973177Z SCHEMA_VERSION: v3 2025-08-14T22:03:23.3973356Z REPO: pytorch/pytorch 2025-08-14T22:03:23.3973564Z HEAD_BRANCH: refs/heads/main 2025-08-14T22:03:23.3973783Z HEAD_SHA: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T22:03:23.3974006Z WORKFLOW_RUN_ID: 16976338999 2025-08-14T22:03:23.3974237Z RUN_ATTEMPT: 1 2025-08-14T22:03:23.3974397Z JOB_ID: 48128301882 2025-08-14T22:03:23.3974788Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (dynamic_cpu_inductor_timm, 1, 2, linux.8xlarge.amx) 2025-08-14T22:03:23.3975182Z ##[endgroup] 2025-08-14T22:03:23.4003552Z + 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 16976338999 --run-attempt 1 --job-id 48128301882 --job-name 'linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (dynamic_cpu_inductor_timm, 1, 2, linux.8xlarge.amx)' 2025-08-14T22:03:23.4298888Z ##[group]Run set -eux 2025-08-14T22:03:23.4299094Z set -eux 2025-08-14T22:03:23.4299262Z  2025-08-14T22:03:23.4299533Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-08-14T22:03:23.4304243Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:03:23.4304498Z env: 2025-08-14T22:03:23.4304657Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:03:23.4305000Z DOCKER_CONTAINER_ID: de3ef7ccb7eac1c69948a5a6ef9b13fcfd68d45a19f40d27f7d2baac5b107ed1 2025-08-14T22:03:23.4305580Z DEVICE_NAME: 2025-08-14T22:03:23.4305750Z DEVICE_TYPE: 2025-08-14T22:03:23.4305910Z ##[endgroup] 2025-08-14T22:03:23.4331752Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-08-14T22:03:23.4674719Z INFO:root:Fail to import torch to get the device name 2025-08-14T22:03:23.4774368Z ##[group]Run set -eux 2025-08-14T22:03:23.4774562Z set -eux 2025-08-14T22:03:23.4774715Z  2025-08-14T22:03:23.4774882Z # TODO (huydhn): Implement this part 2025-08-14T22:03:23.4775125Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-08-14T22:03:23.4779455Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:03:23.4779691Z env: 2025-08-14T22:03:23.4779849Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:03:23.4780155Z DOCKER_CONTAINER_ID: de3ef7ccb7eac1c69948a5a6ef9b13fcfd68d45a19f40d27f7d2baac5b107ed1 2025-08-14T22:03:23.4780596Z DEVICE_NAME: 2025-08-14T22:03:23.4780753Z DEVICE_TYPE: 2025-08-14T22:03:23.4780917Z ##[endgroup] 2025-08-14T22:03:23.4804731Z + echo 'dependencies={}' 2025-08-14T22:03:23.4820650Z ##[group]Run set -eux 2025-08-14T22:03:23.4820874Z set -eux 2025-08-14T22:03:23.4821046Z  2025-08-14T22:03:23.4821257Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-08-14T22:03:23.4821560Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-08-14T22:03:23.4821876Z  # We don't want the job to fail if the directory doesn't exist 2025-08-14T22:03:23.4822135Z  exit 0 2025-08-14T22:03:23.4822295Z fi 2025-08-14T22:03:23.4822452Z  2025-08-14T22:03:23.4822624Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-08-14T22:03:23.4822942Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-08-14T22:03:23.4823309Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-08-14T22:03:23.4823688Z  --metadata "${BENCHMARK_METADATA}" \ 2025-08-14T22:03:23.4823931Z  --runners "${RUNNER_INFO}" \ 2025-08-14T22:03:23.4824161Z  --dependencies "${DEPENDENCIES}" \ 2025-08-14T22:03:23.4824393Z  --dry-run 2025-08-14T22:03:23.4824575Z else 2025-08-14T22:03:23.4824826Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-08-14T22:03:23.4825194Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-08-14T22:03:23.4825729Z  --metadata "${BENCHMARK_METADATA}" \ 2025-08-14T22:03:23.4825977Z  --runners "${RUNNER_INFO}" \ 2025-08-14T22:03:23.4826274Z  --dependencies "${DEPENDENCIES}" 2025-08-14T22:03:23.4826497Z fi 2025-08-14T22:03:23.4830833Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:03:23.4831083Z env: 2025-08-14T22:03:23.4831252Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:03:23.4831593Z DOCKER_CONTAINER_ID: de3ef7ccb7eac1c69948a5a6ef9b13fcfd68d45a19f40d27f7d2baac5b107ed1 2025-08-14T22:03:23.4832045Z DEVICE_NAME: 2025-08-14T22:03:23.4832222Z DEVICE_TYPE: 2025-08-14T22:03:23.4832411Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-08-14T22:03:23.4832631Z DRY_RUN: false 2025-08-14T22:03:23.4833558Z BENCHMARK_METADATA: {"timestamp": 1755209003, "schema_version": "v3", "name": "linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (dynamic_cpu_inductor_timm, 1, 2, linux.8xlarge.amx)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "1fc683cf17c8c673044538d10266c00f92987be2", "workflow_id": 16976338999, "run_attempt": 1, "job_id": 48128301882} 2025-08-14T22:03:23.4834700Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-63-173.ec2.internal"}, "name": "", "type": ""}] 2025-08-14T22:03:23.4835085Z DEPENDENCIES: {} 2025-08-14T22:03:23.4835258Z ##[endgroup] 2025-08-14T22:03:23.4859050Z + [[ ! -d test/test-reports ]] 2025-08-14T22:03:23.4859352Z + [[ false == \t\r\u\e ]] 2025-08-14T22:03:23.4861257Z + 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": 1755209003, "schema_version": "v3", "name": "linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (dynamic_cpu_inductor_timm, 1, 2, linux.8xlarge.amx)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "1fc683cf17c8c673044538d10266c00f92987be2", "workflow_id": 16976338999, "run_attempt": 1, "job_id": 48128301882}' --runners '[{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-63-173.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}' 2025-08-14T22:03:23.6086781Z INFO:root:Upload test/test-reports/inference_timm_models.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976338999/48128301882/inference_timm_models.json 2025-08-14T22:03:23.6361378Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-08-14T22:03:23.8845448Z ##[group]Run cat test/**/*_toprint.log || true 2025-08-14T22:03:23.8845719Z cat test/**/*_toprint.log || true 2025-08-14T22:03:23.8850895Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:03:23.8851147Z env: 2025-08-14T22:03:23.8851311Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:03:23.8851611Z DOCKER_CONTAINER_ID: de3ef7ccb7eac1c69948a5a6ef9b13fcfd68d45a19f40d27f7d2baac5b107ed1 2025-08-14T22:03:23.8851932Z DEVICE_NAME: 2025-08-14T22:03:23.8852088Z DEVICE_TYPE: 2025-08-14T22:03:23.8852256Z ##[endgroup] 2025-08-14T22:03:23.8925079Z cat: 'test/**/*_toprint.log': No such file or directory 2025-08-14T22:03:23.8952149Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-08-14T22:03:23.8952406Z kill "$MONITOR_SCRIPT_PID" 2025-08-14T22:03:23.8956534Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:03:23.8956866Z env: 2025-08-14T22:03:23.8957027Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:03:23.8957330Z DOCKER_CONTAINER_ID: de3ef7ccb7eac1c69948a5a6ef9b13fcfd68d45a19f40d27f7d2baac5b107ed1 2025-08-14T22:03:23.8957658Z DEVICE_NAME: 2025-08-14T22:03:23.8957968Z DEVICE_TYPE: 2025-08-14T22:03:23.8958146Z MONITOR_SCRIPT_PID: 47899 2025-08-14T22:03:23.8958327Z ##[endgroup] 2025-08-14T22:03:23.9068299Z Prepare all required actions 2025-08-14T22:03:23.9068688Z Getting action download info 2025-08-14T22:03:24.0446041Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-08-14T22:03:24.2785107Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-08-14T22:03:24.7187324Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-08-14T22:03:24.7187602Z with: 2025-08-14T22:03:24.7187895Z file-suffix: test-dynamic_cpu_inductor_timm-1-2-linux.8xlarge.amx_48128301882 2025-08-14T22:03:24.7188247Z s3-bucket: gha-artifacts 2025-08-14T22:03:24.7188445Z env: 2025-08-14T22:03:24.7188620Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:03:24.7188966Z DOCKER_CONTAINER_ID: de3ef7ccb7eac1c69948a5a6ef9b13fcfd68d45a19f40d27f7d2baac5b107ed1 2025-08-14T22:03:24.7189317Z DEVICE_NAME: 2025-08-14T22:03:24.7189494Z DEVICE_TYPE: 2025-08-14T22:03:24.7189668Z ##[endgroup] 2025-08-14T22:03:24.7207500Z ##[group]Run # Remove any previous test jsons if they exist 2025-08-14T22:03:24.7207837Z # Remove any previous test jsons if they exist 2025-08-14T22:03:24.7208107Z rm -f test-jsons-*.zip 2025-08-14T22:03:24.7208404Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-08-14T22:03:24.7213354Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:03:24.7213666Z env: 2025-08-14T22:03:24.7213838Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:03:24.7214166Z DOCKER_CONTAINER_ID: de3ef7ccb7eac1c69948a5a6ef9b13fcfd68d45a19f40d27f7d2baac5b107ed1 2025-08-14T22:03:24.7214507Z DEVICE_NAME: 2025-08-14T22:03:24.7214679Z DEVICE_TYPE: 2025-08-14T22:03:24.7214952Z FILE_SUFFIX: test-dynamic_cpu_inductor_timm-1-2-linux.8xlarge.amx_48128301882 2025-08-14T22:03:24.7215246Z ##[endgroup] 2025-08-14T22:03:24.7400178Z adding: test/test-reports/inference_timm_models.json (deflated 99%) 2025-08-14T22:03:24.7417374Z ##[group]Run # Remove any previous test reports if they exist 2025-08-14T22:03:24.7417713Z # Remove any previous test reports if they exist 2025-08-14T22:03:24.7417994Z rm -f test-reports-*.zip 2025-08-14T22:03:24.7418321Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-08-14T22:03:24.7423516Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:03:24.7423776Z env: 2025-08-14T22:03:24.7423947Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:03:24.7424277Z DOCKER_CONTAINER_ID: de3ef7ccb7eac1c69948a5a6ef9b13fcfd68d45a19f40d27f7d2baac5b107ed1 2025-08-14T22:03:24.7424640Z DEVICE_NAME: 2025-08-14T22:03:24.7424817Z DEVICE_TYPE: 2025-08-14T22:03:24.7425095Z FILE_SUFFIX: test-dynamic_cpu_inductor_timm-1-2-linux.8xlarge.amx_48128301882 2025-08-14T22:03:24.7425705Z ##[endgroup] 2025-08-14T22:03:24.7482734Z adding: test/test-reports/inference_timm_models.csv (deflated 61%) 2025-08-14T22:03:24.7499340Z ##[group]Run # Remove any previous usage logs if they exist 2025-08-14T22:03:24.7499675Z # Remove any previous usage logs if they exist 2025-08-14T22:03:24.7499929Z rm -f logs-*.zip 2025-08-14T22:03:24.7500172Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-08-14T22:03:24.7500499Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-08-14T22:03:24.7504620Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:03:24.7504887Z env: 2025-08-14T22:03:24.7505059Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:03:24.7505708Z DOCKER_CONTAINER_ID: de3ef7ccb7eac1c69948a5a6ef9b13fcfd68d45a19f40d27f7d2baac5b107ed1 2025-08-14T22:03:24.7506160Z DEVICE_NAME: 2025-08-14T22:03:24.7506336Z DEVICE_TYPE: 2025-08-14T22:03:24.7506614Z FILE_SUFFIX: test-dynamic_cpu_inductor_timm-1-2-linux.8xlarge.amx_48128301882 2025-08-14T22:03:24.7506924Z ##[endgroup] 2025-08-14T22:03:24.7583460Z adding: usage_log.txt (deflated 96%) 2025-08-14T22:03:24.7585540Z 2025-08-14T22:03:24.7586532Z zip error: Nothing to do! (logs-test-dynamic_cpu_inductor_timm-1-2-linux.8xlarge.amx_48128301882.zip) 2025-08-14T22:03:24.7608244Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-08-14T22:03:24.7608599Z # Remove any previous debugging artifacts if they exist 2025-08-14T22:03:24.7608941Z rm -f debug-*.zip 2025-08-14T22:03:24.7609150Z if [ -d 'test/debug' ]; then 2025-08-14T22:03:24.7609392Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-08-14T22:03:24.7609612Z fi 2025-08-14T22:03:24.7613442Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:03:24.7613671Z env: 2025-08-14T22:03:24.7613825Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:03:24.7614127Z DOCKER_CONTAINER_ID: de3ef7ccb7eac1c69948a5a6ef9b13fcfd68d45a19f40d27f7d2baac5b107ed1 2025-08-14T22:03:24.7614435Z DEVICE_NAME: 2025-08-14T22:03:24.7614593Z DEVICE_TYPE: 2025-08-14T22:03:24.7614854Z FILE_SUFFIX: test-dynamic_cpu_inductor_timm-1-2-linux.8xlarge.amx_48128301882 2025-08-14T22:03:24.7615121Z ##[endgroup] 2025-08-14T22:03:24.7680597Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T22:03:24.7680836Z with: 2025-08-14T22:03:24.7681017Z s3-bucket: gha-artifacts 2025-08-14T22:03:24.7681260Z s3-prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T22:03:24.7681508Z retention-days: 14 2025-08-14T22:03:24.7681701Z if-no-files-found: warn 2025-08-14T22:03:24.7681905Z path: test-jsons-*.zip 2025-08-14T22:03:24.7682086Z name: artifact 2025-08-14T22:03:24.7682261Z region: us-east-1 2025-08-14T22:03:24.7682442Z env: 2025-08-14T22:03:24.7682599Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:03:24.7682938Z DOCKER_CONTAINER_ID: de3ef7ccb7eac1c69948a5a6ef9b13fcfd68d45a19f40d27f7d2baac5b107ed1 2025-08-14T22:03:24.7683279Z DEVICE_NAME: 2025-08-14T22:03:24.7683451Z DEVICE_TYPE: 2025-08-14T22:03:24.7683612Z ##[endgroup] 2025-08-14T22:03:25.0641248Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-14T22:03:25.0647533Z With the provided path, there will be 1 file uploaded 2025-08-14T22:03:25.0647903Z Uploading to s3 prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T22:03:25.0669814Z Starting upload of test-jsons-test-dynamic_cpu_inductor_timm-1-2-linux.8xlarge.amx_48128301882.zip 2025-08-14T22:03:25.1837479Z Finished upload of test-jsons-test-dynamic_cpu_inductor_timm-1-2-linux.8xlarge.amx_48128301882.zip 2025-08-14T22:03:25.1997619Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T22:03:25.1997857Z with: 2025-08-14T22:03:25.1998037Z s3-bucket: gha-artifacts 2025-08-14T22:03:25.1998288Z s3-prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T22:03:25.1998525Z retention-days: 14 2025-08-14T22:03:25.1998715Z if-no-files-found: error 2025-08-14T22:03:25.1998921Z path: test-reports-*.zip 2025-08-14T22:03:25.1999099Z name: artifact 2025-08-14T22:03:25.1999274Z region: us-east-1 2025-08-14T22:03:25.1999430Z env: 2025-08-14T22:03:25.1999570Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:03:25.1999896Z DOCKER_CONTAINER_ID: de3ef7ccb7eac1c69948a5a6ef9b13fcfd68d45a19f40d27f7d2baac5b107ed1 2025-08-14T22:03:25.2000194Z DEVICE_NAME: 2025-08-14T22:03:25.2000342Z DEVICE_TYPE: 2025-08-14T22:03:25.2000480Z ##[endgroup] 2025-08-14T22:03:25.4634025Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-14T22:03:25.4638780Z With the provided path, there will be 1 file uploaded 2025-08-14T22:03:25.4643918Z Uploading to s3 prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T22:03:25.4665172Z Starting upload of test-reports-test-dynamic_cpu_inductor_timm-1-2-linux.8xlarge.amx_48128301882.zip 2025-08-14T22:03:25.7244857Z Finished upload of test-reports-test-dynamic_cpu_inductor_timm-1-2-linux.8xlarge.amx_48128301882.zip 2025-08-14T22:03:25.7395626Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T22:03:25.7395843Z with: 2025-08-14T22:03:25.7396006Z s3-bucket: gha-artifacts 2025-08-14T22:03:25.7396219Z s3-prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T22:03:25.7396432Z retention-days: 14 2025-08-14T22:03:25.7396740Z if-no-files-found: ignore 2025-08-14T22:03:25.7396956Z path: logs-*.zip 2025-08-14T22:03:25.7397105Z name: artifact 2025-08-14T22:03:25.7397260Z region: us-east-1 2025-08-14T22:03:25.7397411Z env: 2025-08-14T22:03:25.7397546Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:03:25.7397901Z DOCKER_CONTAINER_ID: de3ef7ccb7eac1c69948a5a6ef9b13fcfd68d45a19f40d27f7d2baac5b107ed1 2025-08-14T22:03:25.7398223Z DEVICE_NAME: 2025-08-14T22:03:25.7398371Z DEVICE_TYPE: 2025-08-14T22:03:25.7398522Z ##[endgroup] 2025-08-14T22:03:26.0000977Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-14T22:03:26.0001529Z With the provided path, there will be 1 file uploaded 2025-08-14T22:03:26.0001983Z Uploading to s3 prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T22:03:26.0036685Z Starting upload of logs-test-dynamic_cpu_inductor_timm-1-2-linux.8xlarge.amx_48128301882.zip 2025-08-14T22:03:26.1027060Z Finished upload of logs-test-dynamic_cpu_inductor_timm-1-2-linux.8xlarge.amx_48128301882.zip 2025-08-14T22:03:26.1186740Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T22:03:26.1186994Z with: 2025-08-14T22:03:26.1187166Z s3-bucket: gha-artifacts 2025-08-14T22:03:26.1187395Z s3-prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T22:03:26.1187643Z retention-days: 14 2025-08-14T22:03:26.1187828Z if-no-files-found: ignore 2025-08-14T22:03:26.1188024Z path: debug-*.zip 2025-08-14T22:03:26.1188184Z name: artifact 2025-08-14T22:03:26.1188353Z region: us-east-1 2025-08-14T22:03:26.1188514Z env: 2025-08-14T22:03:26.1188664Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:03:26.1189004Z DOCKER_CONTAINER_ID: de3ef7ccb7eac1c69948a5a6ef9b13fcfd68d45a19f40d27f7d2baac5b107ed1 2025-08-14T22:03:26.1189340Z DEVICE_NAME: 2025-08-14T22:03:26.1189506Z DEVICE_TYPE: 2025-08-14T22:03:26.1189660Z ##[endgroup] 2025-08-14T22:03:26.3813260Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-08-14T22:03:26.4025952Z ##[group]Run # shellcheck disable=SC2156 2025-08-14T22:03:26.4026258Z # shellcheck disable=SC2156 2025-08-14T22:03:26.4027041Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-08-14T22:03:26.4032511Z shell: /usr/bin/bash -e {0} 2025-08-14T22:03:26.4032724Z env: 2025-08-14T22:03:26.4032894Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:03:26.4033218Z DOCKER_CONTAINER_ID: de3ef7ccb7eac1c69948a5a6ef9b13fcfd68d45a19f40d27f7d2baac5b107ed1 2025-08-14T22:03:26.4033566Z DEVICE_NAME: 2025-08-14T22:03:26.4033736Z DEVICE_TYPE: 2025-08-14T22:03:26.4033902Z ##[endgroup] 2025-08-14T22:03:26.5812835Z Prepare all required actions 2025-08-14T22:03:26.5813170Z Getting action download info 2025-08-14T22:03:26.6928335Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-08-14T22:03:26.6928645Z with: 2025-08-14T22:03:26.6928834Z job_id: 48128301882 2025-08-14T22:03:26.6929313Z job_name: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (dynamic_cpu_inductor_timm, 1, 2, linux.8xlarge.amx) 2025-08-14T22:03:26.6929803Z workflow_name: inductor-periodic 2025-08-14T22:03:26.6930036Z workflow_run_id: 16976338999 2025-08-14T22:03:26.6930245Z workflow_attempt: 1 2025-08-14T22:03:26.6930420Z env: 2025-08-14T22:03:26.6930613Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:03:26.6930974Z DOCKER_CONTAINER_ID: de3ef7ccb7eac1c69948a5a6ef9b13fcfd68d45a19f40d27f7d2baac5b107ed1 2025-08-14T22:03:26.6931346Z DEVICE_NAME: 2025-08-14T22:03:26.6931530Z DEVICE_TYPE: 2025-08-14T22:03:26.6931712Z ##[endgroup] 2025-08-14T22:03:26.6944192Z ##[group]Run echo "workflow_id: 16976338999" 2025-08-14T22:03:26.6944459Z echo "workflow_id: 16976338999" 2025-08-14T22:03:26.6944698Z echo "workflow_attempt: 1" 2025-08-14T22:03:26.6944945Z echo "workflow_Name: inductor-periodic" 2025-08-14T22:03:26.6945192Z echo "job_id: 48128301882" 2025-08-14T22:03:26.6945813Z echo "job_name: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (dynamic_cpu_inductor_timm, 1, 2, linux.8xlarge.amx)" 2025-08-14T22:03:26.6946328Z echo "artifact_prefix: " 2025-08-14T22:03:26.6946566Z python3 --version 2025-08-14T22:03:26.6951263Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:03:26.6951588Z env: 2025-08-14T22:03:26.6951747Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:03:26.6952049Z DOCKER_CONTAINER_ID: de3ef7ccb7eac1c69948a5a6ef9b13fcfd68d45a19f40d27f7d2baac5b107ed1 2025-08-14T22:03:26.6952372Z DEVICE_NAME: 2025-08-14T22:03:26.6952533Z DEVICE_TYPE: 2025-08-14T22:03:26.6952697Z ##[endgroup] 2025-08-14T22:03:26.6975709Z workflow_id: 16976338999 2025-08-14T22:03:26.6975981Z workflow_attempt: 1 2025-08-14T22:03:26.6976188Z workflow_Name: inductor-periodic 2025-08-14T22:03:26.6976398Z job_id: 48128301882 2025-08-14T22:03:26.6976838Z job_name: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (dynamic_cpu_inductor_timm, 1, 2, linux.8xlarge.amx) 2025-08-14T22:03:26.6977261Z artifact_prefix: 2025-08-14T22:03:26.6991866Z Python 3.9.23 2025-08-14T22:03:26.7020345Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-14T22:03:26.7020559Z with: 2025-08-14T22:03:26.7020723Z shell: bash 2025-08-14T22:03:26.7020889Z timeout_minutes: 5 2025-08-14T22:03:26.7021057Z max_attempts: 5 2025-08-14T22:03:26.7021238Z retry_wait_seconds: 30 2025-08-14T22:03:26.7021601Z 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 2025-08-14T22:03:26.7021991Z polling_interval_seconds: 1 2025-08-14T22:03:26.7022192Z warning_on_retry: true 2025-08-14T22:03:26.7022400Z continue_on_error: false 2025-08-14T22:03:26.7022582Z env: 2025-08-14T22:03:26.7022731Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:03:26.7023053Z DOCKER_CONTAINER_ID: de3ef7ccb7eac1c69948a5a6ef9b13fcfd68d45a19f40d27f7d2baac5b107ed1 2025-08-14T22:03:26.7023391Z DEVICE_NAME: 2025-08-14T22:03:26.7023550Z DEVICE_TYPE: 2025-08-14T22:03:26.7023718Z ##[endgroup] 2025-08-14T22:03:26.9709539Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T22:03:27.0341900Z Collecting python-dateutil==2.8.2 2025-08-14T22:03:27.0482383Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-08-14T22:03:27.7645517Z Collecting boto3==1.35.42 2025-08-14T22:03:27.7677565Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-08-14T22:03:28.1463858Z Collecting pandas==2.1.3 2025-08-14T22:03:28.1506754Z Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB) 2025-08-14T22:03:28.2588033Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7) 2025-08-14T22:03:28.2602357Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0) 2025-08-14T22:03:28.2639376Z 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) 2025-08-14T22:03:28.2648710Z 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) 2025-08-14T22:03:28.2651998Z 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) 2025-08-14T22:03:28.9167717Z Collecting numpy<2,>=1.22.4 2025-08-14T22:03:28.9209533Z Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) 2025-08-14T22:03:29.0395159Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1) 2025-08-14T22:03:29.0647447Z Collecting tzdata>=2022.1 2025-08-14T22:03:29.0677940Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-08-14T22:03:29.0801750Z 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) 2025-08-14T22:03:29.0802456Z 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) 2025-08-14T22:03:29.0875265Z 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) 2025-08-14T22:03:29.0946261Z 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) 2025-08-14T22:03:29.1022516Z 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) 2025-08-14T22:03:29.1024361Z 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) 2025-08-14T22:03:29.2242620Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3 2025-08-14T22:03:33.2938747Z Attempting uninstall: boto3 2025-08-14T22:03:33.2939296Z Found existing installation: boto3 1.35.33 2025-08-14T22:03:33.3008946Z Uninstalling boto3-1.35.33: 2025-08-14T22:03:33.3016932Z Successfully uninstalled boto3-1.35.33 2025-08-14T22:03:33.3470435Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2 2025-08-14T22:03:33.7725554Z Command completed after 1 attempt(s). 2025-08-14T22:03:33.7786723Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-08-14T22:03:33.7787237Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-08-14T22:03:33.7787568Z  --workflow-run-id "16976338999" \ 2025-08-14T22:03:33.7787829Z  --workflow-name "inductor-periodic" \ 2025-08-14T22:03:33.7788088Z  --workflow-run-attempt "1" \ 2025-08-14T22:03:33.7788315Z  --job-id "48128301882" \ 2025-08-14T22:03:33.7788771Z  --job-name "linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (dynamic_cpu_inductor_timm, 1, 2, linux.8xlarge.amx)" \ 2025-08-14T22:03:33.7789232Z  --local-path "" \ 2025-08-14T22:03:33.7789444Z  --artifact-prefix "" 2025-08-14T22:03:33.7795962Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:03:33.7796205Z env: 2025-08-14T22:03:33.7796361Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:03:33.7796663Z DOCKER_CONTAINER_ID: de3ef7ccb7eac1c69948a5a6ef9b13fcfd68d45a19f40d27f7d2baac5b107ed1 2025-08-14T22:03:33.7796965Z DEVICE_NAME: 2025-08-14T22:03:33.7797119Z DEVICE_TYPE: 2025-08-14T22:03:33.7797441Z ##[endgroup] 2025-08-14T22:03:34.7475157Z repo: pytorch/pytorch 2025-08-14T22:03:34.7481534Z Search for test log in s3 bucket: ossci-utilization 2025-08-14T22:03:34.7486914Z Downloading logs-test-dynamic_cpu_inductor_timm-1-2-linux.8xlarge.amx_48128301882.zip 2025-08-14T22:03:34.7491616Z extracting usage_log.txt from zip file logs-test-dynamic_cpu_inductor_timm-1-2-linux.8xlarge.amx_48128301882.zip 2025-08-14T22:03:34.7493577Z Converted Log Model: UtilizationMetadata: 2025-08-14T22:03:34.7494576Z UtilizationMetadata(level='metadata', workflow_id='16976338999', job_id='48128301882', workflow_name='inductor-periodic', job_name='linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (dynamic_cpu_inductor_timm, 1, 2, linux.8xlarge.amx)', usage_collect_interval=1.0, data_model_version=1.5, start_at=1755207326, gpu_count=0, cpu_count=32, gpu_type=None, error=None) 2025-08-14T22:03:34.7495592Z [Db Segments] detected pytest cmd: 9, generated segments: 9 2025-08-14T22:03:34.7496248Z [db model] Peek db timeseries 2025-08-14T22:03:34.7496436Z :{ 2025-08-14T22:03:34.7496589Z "created_at": 1755209014, 2025-08-14T22:03:34.7496780Z "type": "utilization", 2025-08-14T22:03:34.7496964Z "tags": [ 2025-08-14T22:03:34.7497128Z "record" 2025-08-14T22:03:34.7497286Z ], 2025-08-14T22:03:34.7497452Z "time_stamp": 1755207326, 2025-08-14T22:03:34.7497656Z "repo": "pytorch/pytorch", 2025-08-14T22:03:34.7497850Z "workflow_id": 16976338999, 2025-08-14T22:03:34.7498049Z "run_attempt": 1, 2025-08-14T22:03:34.7498232Z "job_id": 48128301882, 2025-08-14T22:03:34.7498430Z "workflow_name": "inductor-periodic", 2025-08-14T22:03:34.7498975Z "job_name": "linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (dynamic_cpu_inductor_timm, 1, 2, linux.8xlarge.amx)", 2025-08-14T22:03:34.7499407Z "json_data": "{}" 2025-08-14T22:03:34.7499579Z } 2025-08-14T22:03:34.7499918Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/16976338999/1/48128301882/metadata 2025-08-14T22:03:34.7500495Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/16976338999/1/48128301882/metadata 2025-08-14T22:03:34.7501072Z Writing 334 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/16976338999/1/48128301882/time_series 2025-08-14T22:03:34.7501659Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/16976338999/1/48128301882/time_series 2025-08-14T22:03:34.8504139Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-08-14T22:03:34.8504503Z with: 2025-08-14T22:03:34.8504692Z env: 2025-08-14T22:03:34.8504894Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:03:34.8505510Z DOCKER_CONTAINER_ID: de3ef7ccb7eac1c69948a5a6ef9b13fcfd68d45a19f40d27f7d2baac5b107ed1 2025-08-14T22:03:34.8505941Z DEVICE_NAME: 2025-08-14T22:03:34.8506139Z DEVICE_TYPE: 2025-08-14T22:03:34.8506337Z ##[endgroup] 2025-08-14T22:03:34.8519346Z ##[group]Run set -eou pipefail 2025-08-14T22:03:34.8519628Z set -eou pipefail 2025-08-14T22:03:34.8519845Z  2025-08-14T22:03:34.8520127Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-08-14T22:03:34.8520485Z for _ in $(seq 1440); do 2025-08-14T22:03:34.8520760Z  # Break if no ssh session exists anymore 2025-08-14T22:03:34.8521032Z  if [ "$(who)" = "" ]; then 2025-08-14T22:03:34.8521260Z  break 2025-08-14T22:03:34.8521494Z  fi 2025-08-14T22:03:34.8521676Z  echo "." 2025-08-14T22:03:34.8521874Z  sleep 5 2025-08-14T22:03:34.8522063Z done 2025-08-14T22:03:34.8527547Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:03:34.8527866Z env: 2025-08-14T22:03:34.8528066Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:03:34.8528457Z DOCKER_CONTAINER_ID: de3ef7ccb7eac1c69948a5a6ef9b13fcfd68d45a19f40d27f7d2baac5b107ed1 2025-08-14T22:03:34.8528888Z DEVICE_NAME: 2025-08-14T22:03:34.8529086Z DEVICE_TYPE: 2025-08-14T22:03:34.8529288Z ##[endgroup] 2025-08-14T22:03:34.8554133Z Holding runner for 2 hours until all ssh sessions have logged out 2025-08-14T22:03:34.8635808Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T22:03:34.8636365Z # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T22:03:34.8636637Z # shellcheck disable=SC2046 2025-08-14T22:03:34.8636873Z docker stop $(docker ps -q) || true 2025-08-14T22:03:34.8637090Z # Prune all of the docker images 2025-08-14T22:03:34.8637302Z docker system prune -af 2025-08-14T22:03:34.8641705Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:03:34.8641942Z env: 2025-08-14T22:03:34.8642097Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:03:34.8642402Z DOCKER_CONTAINER_ID: de3ef7ccb7eac1c69948a5a6ef9b13fcfd68d45a19f40d27f7d2baac5b107ed1 2025-08-14T22:03:34.8642793Z DEVICE_NAME: 2025-08-14T22:03:34.8642949Z DEVICE_TYPE: 2025-08-14T22:03:34.8643102Z ##[endgroup] 2025-08-14T22:03:45.7322753Z de3ef7ccb7ea 2025-08-14T22:03:46.2504061Z Deleted Containers: 2025-08-14T22:03:46.2504439Z de3ef7ccb7eac1c69948a5a6ef9b13fcfd68d45a19f40d27f7d2baac5b107ed1 2025-08-14T22:03:46.2504695Z 2025-08-14T22:03:53.5112618Z Deleted Images: 2025-08-14T22:03:53.5113435Z 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' 2025-08-14T22:03:54.1157724Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-08-14T22:03:54.1176221Z http.https://github.com/.extraheader 2025-08-14T22:03:54.1184547Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-08-14T22:03:54.1211772Z [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' || :" 2025-08-14T22:03:54.1522001Z Entering 'android/libs/fbjni' 2025-08-14T22:03:54.1558577Z http.https://github.com/.extraheader 2025-08-14T22:03:54.1595065Z Entering 'third_party/FP16' 2025-08-14T22:03:54.1630898Z http.https://github.com/.extraheader 2025-08-14T22:03:54.1664283Z Entering 'third_party/FXdiv' 2025-08-14T22:03:54.1700705Z 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'third_party/composable_kernel' 2025-08-14T22:03:54.2308516Z http.https://github.com/.extraheader 2025-08-14T22:03:54.2354395Z Entering 'third_party/cpp-httplib' 2025-08-14T22:03:54.2391921Z http.https://github.com/.extraheader 2025-08-14T22:03:54.2427060Z Entering 'third_party/cpuinfo' 2025-08-14T22:03:54.2463970Z http.https://github.com/.extraheader 2025-08-14T22:03:54.2504778Z Entering 'third_party/cudnn_frontend' 2025-08-14T22:03:54.2542165Z http.https://github.com/.extraheader 2025-08-14T22:03:54.2572881Z Entering 'third_party/cutlass' 2025-08-14T22:03:54.2606967Z http.https://github.com/.extraheader 2025-08-14T22:03:54.2651655Z Entering 'third_party/fbgemm' 2025-08-14T22:03:54.2690691Z http.https://github.com/.extraheader 2025-08-14T22:03:54.2724199Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T22:03:54.2764392Z http.https://github.com/.extraheader 2025-08-14T22:03:54.2804813Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T22:03:54.2840885Z http.https://github.com/.extraheader 2025-08-14T22:03:54.2883306Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T22:03:54.2918679Z http.https://github.com/.extraheader 2025-08-14T22:03:54.2952745Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T22:03:54.2984701Z http.https://github.com/.extraheader 2025-08-14T22:03:54.3034269Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T22:03:54.3071399Z http.https://github.com/.extraheader 2025-08-14T22:03:54.3108653Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T22:03:54.3146837Z http.https://github.com/.extraheader 2025-08-14T22:03:54.3188724Z Entering 'third_party/fbgemm/external/json' 2025-08-14T22:03:54.3220908Z http.https://github.com/.extraheader 2025-08-14T22:03:54.3266028Z Entering 'third_party/flash-attention' 2025-08-14T22:03:54.3301341Z http.https://github.com/.extraheader 2025-08-14T22:03:54.3340428Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T22:03:54.3377690Z http.https://github.com/.extraheader 2025-08-14T22:03:54.3415747Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T22:03:54.3459591Z http.https://github.com/.extraheader 2025-08-14T22:03:54.3501856Z Entering 'third_party/flatbuffers' 2025-08-14T22:03:54.3541386Z http.https://github.com/.extraheader 2025-08-14T22:03:54.3585599Z Entering 'third_party/fmt' 2025-08-14T22:03:54.3618604Z http.https://github.com/.extraheader 2025-08-14T22:03:54.3660026Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T22:03:54.3696475Z http.https://github.com/.extraheader 2025-08-14T22:03:54.3733428Z Entering 'third_party/gloo' 2025-08-14T22:03:54.3768419Z http.https://github.com/.extraheader 2025-08-14T22:03:54.3818689Z Entering 'third_party/googletest' 2025-08-14T22:03:54.3848568Z http.https://github.com/.extraheader 2025-08-14T22:03:54.3888290Z Entering 'third_party/ideep' 2025-08-14T22:03:54.3926721Z http.https://github.com/.extraheader 2025-08-14T22:03:54.3960427Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T22:03:54.3996486Z http.https://github.com/.extraheader 2025-08-14T22:03:54.4037275Z Entering 'third_party/ittapi' 2025-08-14T22:03:54.4070665Z http.https://github.com/.extraheader 2025-08-14T22:03:54.4107046Z Entering 'third_party/kineto' 2025-08-14T22:03:54.4146351Z http.https://github.com/.extraheader 2025-08-14T22:03:54.4181971Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T22:03:54.4216552Z http.https://github.com/.extraheader 2025-08-14T22:03:54.4252307Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T22:03:54.4282988Z http.https://github.com/.extraheader 2025-08-14T22:03:54.4319304Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T22:03:54.4360869Z http.https://github.com/.extraheader 2025-08-14T22:03:54.4401070Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T22:03:54.4442630Z http.https://github.com/.extraheader 2025-08-14T22:03:54.4472680Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T22:03:54.4503180Z http.https://github.com/.extraheader 2025-08-14T22:03:54.4540537Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T22:03:54.4573171Z http.https://github.com/.extraheader 2025-08-14T22:03:54.4608873Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T22:03:54.4646853Z http.https://github.com/.extraheader 2025-08-14T22:03:54.4682720Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T22:03:54.4718736Z http.https://github.com/.extraheader 2025-08-14T22:03:54.4760041Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T22:03:54.4795509Z http.https://github.com/.extraheader 2025-08-14T22:03:54.4835289Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T22:03:54.4873139Z http.https://github.com/.extraheader 2025-08-14T22:03:54.4916178Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T22:03:54.4961011Z http.https://github.com/.extraheader 2025-08-14T22:03:54.4995358Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T22:03:54.5026342Z http.https://github.com/.extraheader 2025-08-14T22:03:54.5063470Z Entering 'third_party/kleidiai' 2025-08-14T22:03:54.5098787Z http.https://github.com/.extraheader 2025-08-14T22:03:54.5136531Z Entering 'third_party/mimalloc' 2025-08-14T22:03:54.5175650Z http.https://github.com/.extraheader 2025-08-14T22:03:54.5210448Z Entering 'third_party/nlohmann' 2025-08-14T22:03:54.5250581Z http.https://github.com/.extraheader 2025-08-14T22:03:54.5284834Z Entering 'third_party/onnx' 2025-08-14T22:03:54.5317858Z http.https://github.com/.extraheader 2025-08-14T22:03:54.5366504Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T22:03:54.5402616Z http.https://github.com/.extraheader 2025-08-14T22:03:54.5443211Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T22:03:54.5484241Z http.https://github.com/.extraheader 2025-08-14T22:03:54.5517657Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T22:03:54.5554754Z http.https://github.com/.extraheader 2025-08-14T22:03:54.5591272Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T22:03:54.5628334Z http.https://github.com/.extraheader 2025-08-14T22:03:54.5670206Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T22:03:54.5700278Z http.https://github.com/.extraheader 2025-08-14T22:03:54.5742976Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T22:03:54.5771097Z http.https://github.com/.extraheader 2025-08-14T22:03:54.5807798Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T22:03:54.5849003Z http.https://github.com/.extraheader 2025-08-14T22:03:54.5886194Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T22:03:54.5917264Z http.https://github.com/.extraheader 2025-08-14T22:03:54.5950764Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T22:03:54.5988074Z http.https://github.com/.extraheader 2025-08-14T22:03:54.6018094Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T22:03:54.6053067Z http.https://github.com/.extraheader 2025-08-14T22:03:54.6095693Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T22:03:54.6128986Z http.https://github.com/.extraheader 2025-08-14T22:03:54.6173468Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T22:03:54.6208350Z http.https://github.com/.extraheader 2025-08-14T22:03:54.6258693Z Entering 'third_party/pocketfft' 2025-08-14T22:03:54.6296890Z http.https://github.com/.extraheader 2025-08-14T22:03:54.6327331Z Entering 'third_party/protobuf' 2025-08-14T22:03:54.6366202Z http.https://github.com/.extraheader 2025-08-14T22:03:54.6399846Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T22:03:54.6436237Z http.https://github.com/.extraheader 2025-08-14T22:03:54.6475084Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T22:03:54.6507019Z http.https://github.com/.extraheader 2025-08-14T22:03:54.6541912Z Entering 'third_party/psimd' 2025-08-14T22:03:54.6583717Z http.https://github.com/.extraheader 2025-08-14T22:03:54.6621135Z Entering 'third_party/pthreadpool' 2025-08-14T22:03:54.6658750Z http.https://github.com/.extraheader 2025-08-14T22:03:54.6696121Z Entering 'third_party/pybind11' 2025-08-14T22:03:54.6728943Z http.https://github.com/.extraheader 2025-08-14T22:03:54.6768464Z Entering 'third_party/python-peachpy' 2025-08-14T22:03:54.6805411Z http.https://github.com/.extraheader 2025-08-14T22:03:54.6843045Z Entering 'third_party/sleef' 2025-08-14T22:03:54.6881672Z http.https://github.com/.extraheader 2025-08-14T22:03:54.6915151Z Entering 'third_party/tensorpipe' 2025-08-14T22:03:54.6959216Z http.https://github.com/.extraheader 2025-08-14T22:03:54.6990524Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T22:03:54.7026852Z http.https://github.com/.extraheader 2025-08-14T22:03:54.7062753Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T22:03:54.7099277Z http.https://github.com/.extraheader 2025-08-14T22:03:54.7136971Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T22:03:54.7177046Z http.https://github.com/.extraheader 2025-08-14T22:03:54.7213735Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T22:03:54.7254960Z http.https://github.com/.extraheader 2025-08-14T22:03:54.7291027Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T22:03:54.7327074Z http.https://github.com/.extraheader 2025-08-14T22:03:54.7468610Z A job completed hook has been configured by the self-hosted runner administrator 2025-08-14T22:03:54.7479517Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh' 2025-08-14T22:03:54.7482735Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:03:54.7482988Z ##[endgroup] 2025-08-14T22:03:54.7571321Z [!ALERT!] Swap in detected! [!ALERT!] 2025-08-14T22:04:03.9825895Z [!ALERT!] Swap out detected [!ALERT!] 2025-08-14T22:04:19.1620718Z Cleaning up orphan processes