2025-08-14T21:22:59.9718711Z Current runner version: '2.328.0' 2025-08-14T21:22:59.9724122Z Runner name: 'i-0a572e829b0dd50b7' 2025-08-14T21:22:59.9724799Z Runner group name: 'default' 2025-08-14T21:22:59.9725547Z Machine name: 'ip-10-0-31-34' 2025-08-14T21:22:59.9727657Z ##[group]GITHUB_TOKEN Permissions 2025-08-14T21:22:59.9729844Z Contents: read 2025-08-14T21:22:59.9730316Z Metadata: read 2025-08-14T21:22:59.9730802Z ##[endgroup] 2025-08-14T21:22:59.9732768Z Secret source: Actions 2025-08-14T21:22:59.9733408Z Prepare workflow directory 2025-08-14T21:23:00.0135917Z Prepare all required actions 2025-08-14T21:23:00.0168343Z Getting action download info 2025-08-14T21:23:00.2828177Z Download action repository 'pytorch/test-infra@main' (SHA:83f58f391e939c10dcb8cb6d745e4cefa3b98a84) 2025-08-14T21:23:01.5258358Z Download action repository 'pytorch/pytorch@main' (SHA:3be70dc30e893b552fc0f23ca06cd8f7949b6d08) 2025-08-14T21:23:17.2585374Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-08-14T21:23:18.0572084Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-08-14T21:23:18.3302269Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-08-14T21:23:18.5260427Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-08-14T21:23:18.8068905Z Getting action download info 2025-08-14T21:23:18.9428421Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-08-14T21:23:19.2310847Z Getting action download info 2025-08-14T21:23:19.3615610Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-08-14T21:23:19.5554894Z Getting action download info 2025-08-14T21:23:19.6552613Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-08-14T21:23:19.8372748Z Getting action download info 2025-08-14T21:23:19.9991751Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (1fc683cf17c8c673044538d10266c00f92987be2) 2025-08-14T21:23:19.9995052Z ##[group] Inputs 2025-08-14T21:23:19.9995353Z build-environment: linux-jammy-py3.9-gcc11-build 2025-08-14T21:23:19.9997789Z 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"}]} 2025-08-14T21:23:20.0000628Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:23:20.0001233Z sync-tag: 2025-08-14T21:23:20.0001935Z timeout-minutes: 240 2025-08-14T21:23:20.0002128Z use-gha: 2025-08-14T21:23:20.0002585Z dashboard-tag: 2025-08-14T21:23:20.0002871Z s3-bucket: gha-artifacts 2025-08-14T21:23:20.0003082Z aws-role-to-assume: 2025-08-14T21:23:20.0003482Z disable-monitor: false 2025-08-14T21:23:20.0003710Z monitor-log-interval: 5 2025-08-14T21:23:20.0003943Z monitor-data-collect-interval: 1 2025-08-14T21:23:20.0004156Z ##[endgroup] 2025-08-14T21:23:20.0004552Z Complete job name: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_timm, 1, 2, linux.8xlarge.amx) 2025-08-14T21:23:20.0464442Z A job started hook has been configured by the self-hosted runner administrator 2025-08-14T21:23:20.0544234Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-08-14T21:23:20.0551661Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:23:20.0552129Z ##[endgroup] 2025-08-14T21:23:21.0044285Z Runner Type: linux.8xlarge.amx 2025-08-14T21:23:21.0044881Z Instance Type: m7i-flex.8xlarge 2025-08-14T21:23:21.0045194Z AMI Name: unknown 2025-08-14T21:23:21.0068653Z AMI ID: ami-05ffe3c48a9991133 2025-08-14T21:23:25.3448358Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-08-14T21:23:25.3448715Z with: 2025-08-14T21:23:25.3449367Z github-secret: *** 2025-08-14T21:23:25.3449877Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-08-14T21:23:25.3450387Z activate-with-label: false 2025-08-14T21:23:25.3450624Z label: with-ssh 2025-08-14T21:23:25.3450866Z remove-existing-keys: true 2025-08-14T21:23:25.3451114Z fail-silently: true 2025-08-14T21:23:25.3451320Z env: 2025-08-14T21:23:25.3451549Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:23:25.3451800Z ##[endgroup] 2025-08-14T21:23:25.4660447Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-08-14T21:23:25.4661115Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-08-14T21:23:25.4954610Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-08-14T21:23:25.4955060Z with: 2025-08-14T21:23:25.4955270Z no-sudo: true 2025-08-14T21:23:25.4955530Z submodules: recursive 2025-08-14T21:23:25.4955833Z fetch-depth: 0 2025-08-14T21:23:25.4956048Z env: 2025-08-14T21:23:25.4956283Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:23:25.4956589Z ##[endgroup] 2025-08-14T21:23:25.5107604Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:23:25.5108228Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:23:25.5117154Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:23:25.5117412Z env: 2025-08-14T21:23:25.5117590Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:23:25.5117757Z ##[endgroup] 2025-08-14T21:23:25.5205929Z ##[group]Run # Use all available CPUs for fetching 2025-08-14T21:23:25.5206248Z # Use all available CPUs for fetching 2025-08-14T21:23:25.5206476Z cd "${GITHUB_WORKSPACE}" 2025-08-14T21:23:25.5206724Z git config --global fetch.parallel 0 2025-08-14T21:23:25.5206963Z git config --global submodule.fetchJobs 0 2025-08-14T21:23:25.5207172Z  2025-08-14T21:23:25.5207391Z # Clean workspace. The default checkout action should also do this, but 2025-08-14T21:23:25.5207668Z # do it here as well just in case 2025-08-14T21:23:25.5207869Z if [[ -d .git ]]; then 2025-08-14T21:23:25.5208052Z  if [ -z "${NO_SUDO}" ]; then 2025-08-14T21:23:25.5208249Z  sudo git clean -ffdx 2025-08-14T21:23:25.5208428Z  else 2025-08-14T21:23:25.5208576Z  git clean -ffdx 2025-08-14T21:23:25.5208744Z  fi 2025-08-14T21:23:25.5208887Z fi 2025-08-14T21:23:25.5212761Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:23:25.5213103Z env: 2025-08-14T21:23:25.5213256Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:23:25.5213424Z NO_SUDO: true 2025-08-14T21:23:25.5213650Z ##[endgroup] 2025-08-14T21:23:25.5313633Z ##[group]Run actions/checkout@v4 2025-08-14T21:23:25.5313861Z with: 2025-08-14T21:23:25.5314046Z ref: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:23:25.5314267Z fetch-depth: 0 2025-08-14T21:23:25.5314441Z submodules: recursive 2025-08-14T21:23:25.5314624Z show-progress: false 2025-08-14T21:23:25.5314815Z repository: pytorch/pytorch 2025-08-14T21:23:25.5315079Z token: *** 2025-08-14T21:23:25.5315239Z ssh-strict: true 2025-08-14T21:23:25.5315402Z ssh-user: git 2025-08-14T21:23:25.5315571Z persist-credentials: true 2025-08-14T21:23:25.5315750Z clean: true 2025-08-14T21:23:25.5315918Z sparse-checkout-cone-mode: true 2025-08-14T21:23:25.5316102Z fetch-tags: false 2025-08-14T21:23:25.5316269Z lfs: false 2025-08-14T21:23:25.5316426Z set-safe-directory: true 2025-08-14T21:23:25.5316600Z env: 2025-08-14T21:23:25.5316753Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:23:25.5316919Z ##[endgroup] 2025-08-14T21:23:25.6213355Z Syncing repository: pytorch/pytorch 2025-08-14T21:23:25.6214409Z ##[group]Getting Git version info 2025-08-14T21:23:25.6214723Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-08-14T21:23:25.6215157Z [command]/usr/bin/git version 2025-08-14T21:23:25.6407647Z git version 2.47.1 2025-08-14T21:23:25.6431115Z ##[endgroup] 2025-08-14T21:23:25.6442534Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/1611e47c-e41e-4a66-ab49-156449f9b76a/.gitconfig' 2025-08-14T21:23:25.6475732Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/1611e47c-e41e-4a66-ab49-156449f9b76a' before making global git config changes 2025-08-14T21:23:25.6476398Z Adding repository directory to the temporary git global config as a safe directory 2025-08-14T21:23:25.6489149Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:23:25.6534779Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-08-14T21:23:25.6541196Z ##[group]Initializing the repository 2025-08-14T21:23:25.6545473Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:23:25.6589197Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-08-14T21:23:25.6589813Z hint: is subject to change. To configure the initial branch name to use in all 2025-08-14T21:23:25.6590343Z hint: of your new repositories, which will suppress this warning, call: 2025-08-14T21:23:25.6594658Z hint: 2025-08-14T21:23:25.6595160Z hint: git config --global init.defaultBranch 2025-08-14T21:23:25.6595572Z hint: 2025-08-14T21:23:25.6595853Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-08-14T21:23:25.6596460Z hint: 'development'. The just-created branch can be renamed via this command: 2025-08-14T21:23:25.6596980Z hint: 2025-08-14T21:23:25.6597408Z hint: git branch -m 2025-08-14T21:23:25.6607412Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-08-14T21:23:25.6617306Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-08-14T21:23:25.6654232Z ##[endgroup] 2025-08-14T21:23:25.6654624Z ##[group]Disabling automatic garbage collection 2025-08-14T21:23:25.6656648Z [command]/usr/bin/git config --local gc.auto 0 2025-08-14T21:23:25.6690897Z ##[endgroup] 2025-08-14T21:23:25.6691221Z ##[group]Setting up auth 2025-08-14T21:23:25.6691534Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-08-14T21:23:25.6718515Z [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' || :" 2025-08-14T21:23:25.7058862Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-08-14T21:23:25.7090430Z [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' || :" 2025-08-14T21:23:25.7422110Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-08-14T21:23:25.7491364Z ##[endgroup] 2025-08-14T21:23:25.7496105Z ##[group]Fetching the repository 2025-08-14T21:23:25.7499753Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-08-14T21:24:10.2692733Z From https://github.com/pytorch/pytorch 2025-08-14T21:24:10.2693154Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-08-14T21:24:10.2693523Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-08-14T21:24:10.2700803Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-08-14T21:24:10.2701443Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-08-14T21:24:10.2701984Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-08-14T21:24:10.2702433Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-08-14T21:24:10.2702877Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-08-14T21:24:10.2703254Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-08-14T21:24:10.2703631Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-08-14T21:24:10.2703984Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-08-14T21:24:10.2704856Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-08-14T21:24:10.2705328Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-08-14T21:24:10.2705791Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-08-14T21:24:10.2706164Z * [new branch] addVllmPin -> origin/addVllmPin 2025-08-14T21:24:10.2706525Z * [new branch] add_windows_testing_back -> origin/add_windows_testing_back 2025-08-14T21:24:10.2706881Z * [new branch] addbuildvllm -> origin/addbuildvllm 2025-08-14T21:24:10.2707228Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-08-14T21:24:10.2707539Z * [new branch] addsimde -> origin/addsimde 2025-08-14T21:24:10.2707850Z * [new branch] addvllpinnedfile -> origin/addvllpinnedfile 2025-08-14T21:24:10.2708167Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-08-14T21:24:10.2708503Z * [new branch] adi/skip_slow_tests -> origin/adi/skip_slow_tests 2025-08-14T21:24:10.2708844Z * [new branch] adi/test -> origin/adi/test 2025-08-14T21:24:10.2709379Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-08-14T21:24:10.2709700Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-08-14T21:24:10.2710042Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-08-14T21:24:10.2710396Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-08-14T21:24:10.2710748Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-08-14T21:24:10.2711098Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-08-14T21:24:10.2711548Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-08-14T21:24:10.2712043Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-08-14T21:24:10.2712413Z * [new branch] albanD-patch-1 -> origin/albanD-patch-1 2025-08-14T21:24:10.2712752Z * [new branch] alt-disable -> origin/alt-disable 2025-08-14T21:24:10.2716732Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-08-14T21:24:10.2720429Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-08-14T21:24:10.2724210Z * [new branch] angelayi/assert_tensor_metadata_device -> origin/angelayi/assert_tensor_metadata_device 2025-08-14T21:24:10.2724681Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-08-14T21:24:10.2727893Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-08-14T21:24:10.2728342Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-08-14T21:24:10.2728810Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-08-14T21:24:10.2729205Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 2025-08-14T21:24:10.2729592Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-08-14T21:24:10.2729950Z * [new branch] angelayi/del_lib -> origin/angelayi/del_lib 2025-08-14T21:24:10.2730289Z * [new branch] angelayi/docs -> origin/angelayi/docs 2025-08-14T21:24:10.2730623Z * [new branch] angelayi/docs2 -> origin/angelayi/docs2 2025-08-14T21:24:10.2730951Z * [new branch] angelayi/fix_pt2 -> origin/angelayi/fix_pt2 2025-08-14T21:24:10.2731862Z * [new branch] angelayi/logging.bak -> origin/angelayi/logging.bak 2025-08-14T21:24:10.2732247Z * [new branch] angelayi/logging2 -> origin/angelayi/logging2 2025-08-14T21:24:10.2732609Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-08-14T21:24:10.2732982Z * [new branch] angelayi/pytree -> origin/angelayi/pytree 2025-08-14T21:24:10.2733342Z * [new branch] angelayi/save_error -> origin/angelayi/save_error 2025-08-14T21:24:10.2733693Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-08-14T21:24:10.2734044Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-08-14T21:24:10.2734433Z * [new branch] angelayi/tensor_nn_module_meta -> origin/angelayi/tensor_nn_module_meta 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2025-08-14T21:24:10.6524032Z * [new branch] zxiiro/get-hardware -> origin/zxiiro/get-hardware 2025-08-14T21:24:10.6524470Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-08-14T21:24:10.6524671Z * [new branch] zxiiro/test -> origin/zxiiro/test 2025-08-14T21:24:10.6525000Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-08-14T21:24:10.6525201Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-08-14T21:24:10.6530389Z * [new tag] ciflow/binaries/138996 -> ciflow/binaries/138996 2025-08-14T21:24:10.6530557Z * [new tag] ciflow/binaries/143959 -> ciflow/binaries/143959 2025-08-14T21:24:10.6530693Z * [new tag] ciflow/binaries/154595 -> ciflow/binaries/154595 2025-08-14T21:24:10.6530847Z * [new tag] ciflow/binaries/156049 -> ciflow/binaries/156049 2025-08-14T21:24:10.6530998Z * [new tag] ciflow/binaries/156712 -> ciflow/binaries/156712 2025-08-14T21:24:10.6531132Z * [new tag] ciflow/binaries/157432 -> ciflow/binaries/157432 2025-08-14T21:24:10.6531259Z * [new tag] ciflow/binaries/157685 -> ciflow/binaries/157685 2025-08-14T21:24:10.6531382Z * [new tag] ciflow/binaries/157689 -> ciflow/binaries/157689 2025-08-14T21:24:10.6531516Z * [new tag] ciflow/binaries/158104 -> ciflow/binaries/158104 2025-08-14T21:24:10.6531641Z * [new tag] ciflow/binaries/158623 -> ciflow/binaries/158623 2025-08-14T21:24:10.6531775Z * [new tag] ciflow/binaries/159827 -> ciflow/binaries/159827 2025-08-14T21:24:10.6531901Z * [new tag] ciflow/binaries/159869 -> ciflow/binaries/159869 2025-08-14T21:24:10.6532030Z * [new tag] ciflow/binaries/160593 -> ciflow/binaries/160593 2025-08-14T21:24:10.6532363Z * [new tag] ciflow/binaries_libtorch/143959 -> ciflow/binaries_libtorch/143959 2025-08-14T21:24:10.6532542Z * [new tag] ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049 2025-08-14T21:24:10.6532723Z * [new tag] ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432 2025-08-14T21:24:10.6532875Z * [new tag] ciflow/binaries_wheel/143959 -> ciflow/binaries_wheel/143959 2025-08-14T21:24:10.6533023Z * [new tag] ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049 2025-08-14T21:24:10.6533171Z * [new tag] ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432 2025-08-14T21:24:10.6533315Z * [new tag] ciflow/binaries_wheel/158733 -> ciflow/binaries_wheel/158733 2025-08-14T21:24:10.6533460Z * [new tag] ciflow/binaries_wheel/160301 -> ciflow/binaries_wheel/160301 2025-08-14T21:24:10.6533615Z * [new tag] ciflow/binaries_wheel/160496 -> ciflow/binaries_wheel/160496 2025-08-14T21:24:10.6533785Z * [new tag] ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703 2025-08-14T21:24:10.6533938Z * [new tag] ciflow/h100-symm-mem/151845 -> ciflow/h100-symm-mem/151845 2025-08-14T21:24:10.6534603Z * [new tag] ciflow/h100-symm-mem/155923 -> ciflow/h100-symm-mem/155923 2025-08-14T21:24:10.6534740Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-08-14T21:24:10.6534879Z * [new tag] ciflow/h100-symm-mem/159118 -> ciflow/h100-symm-mem/159118 2025-08-14T21:24:10.6535010Z * [new tag] ciflow/h100-symm-mem/159562 -> ciflow/h100-symm-mem/159562 2025-08-14T21:24:10.6535147Z * [new tag] ciflow/h100-symm-mem/159889 -> ciflow/h100-symm-mem/159889 2025-08-14T21:24:10.6535266Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-08-14T21:24:10.6535465Z * [new tag] ciflow/h100/160450 -> ciflow/h100/160450 2025-08-14T21:24:10.6535600Z * [new tag] ciflow/h100/160480 -> ciflow/h100/160480 2025-08-14T21:24:10.6535722Z * [new tag] ciflow/h100/160614 -> ciflow/h100/160614 2025-08-14T21:24:10.6536006Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/151845 -> ciflow/inductor-perf-test-nightly-rocm/151845 2025-08-14T21:24:10.6541705Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/160538 -> ciflow/inductor-perf-test-nightly-rocm/160538 2025-08-14T21:24:10.6542057Z * [new tag] ciflow/inductor-perf-test-nightly-x86-zen/156599 -> ciflow/inductor-perf-test-nightly-x86-zen/156599 2025-08-14T21:24:10.6542245Z * [new tag] ciflow/inductor-periodic/160406 -> ciflow/inductor-periodic/160406 2025-08-14T21:24:10.6542415Z * [new tag] ciflow/inductor-periodic/160538 -> ciflow/inductor-periodic/160538 2025-08-14T21:24:10.6542592Z * [new tag] ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845 2025-08-14T21:24:10.6542740Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-08-14T21:24:10.6542887Z * [new tag] ciflow/inductor-rocm/160073 -> ciflow/inductor-rocm/160073 2025-08-14T21:24:10.6543043Z * [new tag] ciflow/inductor-rocm/160538 -> ciflow/inductor-rocm/160538 2025-08-14T21:24:10.6543177Z * [new tag] ciflow/inductor/134881 -> ciflow/inductor/134881 2025-08-14T21:24:10.6543316Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-08-14T21:24:10.6543443Z * [new tag] ciflow/inductor/144516 -> ciflow/inductor/144516 2025-08-14T21:24:10.6543566Z * [new tag] ciflow/inductor/146506 -> ciflow/inductor/146506 2025-08-14T21:24:10.6543700Z * [new tag] ciflow/inductor/147360 -> ciflow/inductor/147360 2025-08-14T21:24:10.6543829Z * [new tag] ciflow/inductor/147990 -> ciflow/inductor/147990 2025-08-14T21:24:10.6544114Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-08-14T21:24:10.6544393Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-08-14T21:24:10.6544534Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-08-14T21:24:10.6544667Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-08-14T21:24:10.6544806Z * [new tag] ciflow/inductor/150302 -> ciflow/inductor/150302 2025-08-14T21:24:10.6551487Z * [new tag] ciflow/inductor/151845 -> ciflow/inductor/151845 2025-08-14T21:24:10.6556055Z * [new tag] ciflow/inductor/152198 -> ciflow/inductor/152198 2025-08-14T21:24:10.6561318Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-08-14T21:24:10.6561658Z * [new tag] ciflow/inductor/153966 -> ciflow/inductor/153966 2025-08-14T21:24:10.6561833Z * [new tag] ciflow/inductor/154193 -> ciflow/inductor/154193 2025-08-14T21:24:10.6561971Z * [new tag] ciflow/inductor/154650 -> ciflow/inductor/154650 2025-08-14T21:24:10.6562098Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-08-14T21:24:10.6562362Z * [new tag] ciflow/inductor/155072 -> ciflow/inductor/155072 2025-08-14T21:24:10.6562580Z * [new tag] ciflow/inductor/155152 -> ciflow/inductor/155152 2025-08-14T21:24:10.6562709Z * [new tag] ciflow/inductor/155153 -> ciflow/inductor/155153 2025-08-14T21:24:10.6562855Z * [new tag] ciflow/inductor/155154 -> ciflow/inductor/155154 2025-08-14T21:24:10.6563142Z * [new tag] ciflow/inductor/155501 -> ciflow/inductor/155501 2025-08-14T21:24:10.6563442Z * [new tag] ciflow/inductor/155502 -> ciflow/inductor/155502 2025-08-14T21:24:10.6563616Z * [new tag] ciflow/inductor/155503 -> ciflow/inductor/155503 2025-08-14T21:24:10.6563757Z * [new tag] ciflow/inductor/155504 -> ciflow/inductor/155504 2025-08-14T21:24:10.6563885Z * [new tag] ciflow/inductor/155557 -> ciflow/inductor/155557 2025-08-14T21:24:10.6564013Z * [new tag] ciflow/inductor/155608 -> ciflow/inductor/155608 2025-08-14T21:24:10.6564146Z * [new tag] ciflow/inductor/155923 -> ciflow/inductor/155923 2025-08-14T21:24:10.6564274Z * [new tag] ciflow/inductor/155928 -> ciflow/inductor/155928 2025-08-14T21:24:10.6564402Z * [new tag] ciflow/inductor/155958 -> ciflow/inductor/155958 2025-08-14T21:24:10.6564537Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-08-14T21:24:10.6564666Z * [new tag] ciflow/inductor/156851 -> ciflow/inductor/156851 2025-08-14T21:24:10.6564804Z * [new tag] ciflow/inductor/156967 -> ciflow/inductor/156967 2025-08-14T21:24:10.6564928Z * [new tag] ciflow/inductor/157148 -> ciflow/inductor/157148 2025-08-14T21:24:10.6565053Z * [new tag] ciflow/inductor/157149 -> ciflow/inductor/157149 2025-08-14T21:24:10.6565185Z * [new tag] ciflow/inductor/157152 -> ciflow/inductor/157152 2025-08-14T21:24:10.6565311Z * [new tag] ciflow/inductor/157542 -> ciflow/inductor/157542 2025-08-14T21:24:10.6565442Z * [new tag] ciflow/inductor/157572 -> ciflow/inductor/157572 2025-08-14T21:24:10.6565569Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-08-14T21:24:10.6565693Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-08-14T21:24:10.6565826Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-08-14T21:24:10.6566022Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-08-14T21:24:10.6566148Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-08-14T21:24:10.6566279Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-08-14T21:24:10.6566403Z * [new tag] ciflow/inductor/157944 -> ciflow/inductor/157944 2025-08-14T21:24:10.6566537Z * [new tag] ciflow/inductor/157971 -> ciflow/inductor/157971 2025-08-14T21:24:10.6566664Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-08-14T21:24:10.6566789Z * [new tag] ciflow/inductor/158061 -> ciflow/inductor/158061 2025-08-14T21:24:10.6566925Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-08-14T21:24:10.6567052Z * [new tag] ciflow/inductor/158097 -> ciflow/inductor/158097 2025-08-14T21:24:10.6567188Z * [new tag] ciflow/inductor/158098 -> ciflow/inductor/158098 2025-08-14T21:24:10.6567313Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-08-14T21:24:10.6567439Z * [new tag] ciflow/inductor/158168 -> ciflow/inductor/158168 2025-08-14T21:24:10.6567574Z * [new tag] ciflow/inductor/158250 -> ciflow/inductor/158250 2025-08-14T21:24:10.6567699Z * [new tag] ciflow/inductor/158321 -> ciflow/inductor/158321 2025-08-14T21:24:10.6567828Z * [new tag] ciflow/inductor/158609 -> ciflow/inductor/158609 2025-08-14T21:24:10.6568111Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-08-14T21:24:10.6569271Z * [new tag] ciflow/inductor/158914 -> ciflow/inductor/158914 2025-08-14T21:24:10.6569595Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-08-14T21:24:10.6570291Z * [new tag] ciflow/inductor/158987 -> ciflow/inductor/158987 2025-08-14T21:24:10.6570426Z * [new tag] ciflow/inductor/159009 -> ciflow/inductor/159009 2025-08-14T21:24:10.6570602Z * [new tag] ciflow/inductor/159010 -> ciflow/inductor/159010 2025-08-14T21:24:10.6570730Z * [new tag] ciflow/inductor/159093 -> ciflow/inductor/159093 2025-08-14T21:24:10.6570863Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-08-14T21:24:10.6571002Z * [new tag] ciflow/inductor/159197 -> ciflow/inductor/159197 2025-08-14T21:24:10.6571125Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-08-14T21:24:10.6571276Z * [new tag] ciflow/inductor/159281 -> ciflow/inductor/159281 2025-08-14T21:24:10.6571404Z * [new tag] ciflow/inductor/159329 -> ciflow/inductor/159329 2025-08-14T21:24:10.6571528Z * [new tag] ciflow/inductor/159361 -> ciflow/inductor/159361 2025-08-14T21:24:10.6571665Z * [new tag] ciflow/inductor/159365 -> ciflow/inductor/159365 2025-08-14T21:24:10.6571789Z * [new tag] ciflow/inductor/159366 -> ciflow/inductor/159366 2025-08-14T21:24:10.6571919Z * [new tag] ciflow/inductor/159367 -> ciflow/inductor/159367 2025-08-14T21:24:10.6572043Z * [new tag] ciflow/inductor/159368 -> ciflow/inductor/159368 2025-08-14T21:24:10.6572167Z * [new tag] ciflow/inductor/159473 -> ciflow/inductor/159473 2025-08-14T21:24:10.6572298Z * [new tag] ciflow/inductor/159483 -> ciflow/inductor/159483 2025-08-14T21:24:10.6572420Z * [new tag] ciflow/inductor/159508 -> ciflow/inductor/159508 2025-08-14T21:24:10.6572556Z * [new tag] ciflow/inductor/159523 -> ciflow/inductor/159523 2025-08-14T21:24:10.6572684Z * [new tag] ciflow/inductor/159678 -> ciflow/inductor/159678 2025-08-14T21:24:10.6572865Z * [new tag] ciflow/inductor/159691 -> ciflow/inductor/159691 2025-08-14T21:24:10.6573029Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-08-14T21:24:10.6573791Z * [new tag] ciflow/inductor/159786 -> ciflow/inductor/159786 2025-08-14T21:24:10.6573994Z * [new tag] ciflow/inductor/159817 -> ciflow/inductor/159817 2025-08-14T21:24:10.6574648Z * [new tag] ciflow/inductor/159842 -> ciflow/inductor/159842 2025-08-14T21:24:10.6574919Z * [new tag] ciflow/inductor/159864 -> ciflow/inductor/159864 2025-08-14T21:24:10.6575447Z * [new tag] ciflow/inductor/159865 -> ciflow/inductor/159865 2025-08-14T21:24:10.6575889Z * [new tag] ciflow/inductor/159869 -> ciflow/inductor/159869 2025-08-14T21:24:10.6576337Z * [new tag] ciflow/inductor/159875 -> ciflow/inductor/159875 2025-08-14T21:24:10.6576803Z * [new tag] ciflow/inductor/159889 -> ciflow/inductor/159889 2025-08-14T21:24:10.6579492Z * [new tag] ciflow/inductor/159902 -> ciflow/inductor/159902 2025-08-14T21:24:10.6579678Z * [new tag] ciflow/inductor/159923 -> ciflow/inductor/159923 2025-08-14T21:24:10.6579815Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-08-14T21:24:10.6579945Z * [new tag] ciflow/inductor/160004 -> ciflow/inductor/160004 2025-08-14T21:24:10.6580086Z * [new tag] ciflow/inductor/160080 -> ciflow/inductor/160080 2025-08-14T21:24:10.6580549Z * [new tag] ciflow/inductor/160108 -> ciflow/inductor/160108 2025-08-14T21:24:10.6580960Z * [new tag] ciflow/inductor/160109 -> ciflow/inductor/160109 2025-08-14T21:24:10.6581891Z * [new tag] ciflow/inductor/160111 -> ciflow/inductor/160111 2025-08-14T21:24:10.6582156Z * [new tag] ciflow/inductor/160113 -> ciflow/inductor/160113 2025-08-14T21:24:10.6582538Z * [new tag] ciflow/inductor/160127 -> ciflow/inductor/160127 2025-08-14T21:24:10.6583038Z * [new tag] ciflow/inductor/160131 -> ciflow/inductor/160131 2025-08-14T21:24:10.6583514Z * [new tag] ciflow/inductor/160132 -> ciflow/inductor/160132 2025-08-14T21:24:10.6583974Z * [new tag] ciflow/inductor/160136 -> ciflow/inductor/160136 2025-08-14T21:24:10.6584695Z * [new tag] ciflow/inductor/160138 -> ciflow/inductor/160138 2025-08-14T21:24:10.6585218Z * [new tag] ciflow/inductor/160151 -> ciflow/inductor/160151 2025-08-14T21:24:10.6585819Z * [new tag] ciflow/inductor/160152 -> ciflow/inductor/160152 2025-08-14T21:24:10.6586255Z * [new tag] ciflow/inductor/160154 -> ciflow/inductor/160154 2025-08-14T21:24:10.6586668Z * [new tag] ciflow/inductor/160156 -> ciflow/inductor/160156 2025-08-14T21:24:10.6587503Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-08-14T21:24:10.6587842Z * [new tag] ciflow/inductor/160166 -> ciflow/inductor/160166 2025-08-14T21:24:10.6588317Z * [new tag] ciflow/inductor/160168 -> ciflow/inductor/160168 2025-08-14T21:24:10.6588819Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-08-14T21:24:10.6589291Z * [new tag] ciflow/inductor/160181 -> ciflow/inductor/160181 2025-08-14T21:24:10.6590996Z * [new tag] ciflow/inductor/160183 -> ciflow/inductor/160183 2025-08-14T21:24:10.6591326Z * [new tag] ciflow/inductor/160190 -> ciflow/inductor/160190 2025-08-14T21:24:10.6591502Z * [new tag] ciflow/inductor/160198 -> ciflow/inductor/160198 2025-08-14T21:24:10.6591856Z * [new tag] ciflow/inductor/160201 -> ciflow/inductor/160201 2025-08-14T21:24:10.6592252Z * [new tag] ciflow/inductor/160209 -> ciflow/inductor/160209 2025-08-14T21:24:10.6596773Z * [new tag] ciflow/inductor/160218 -> ciflow/inductor/160218 2025-08-14T21:24:10.6601598Z * [new tag] ciflow/inductor/160239 -> ciflow/inductor/160239 2025-08-14T21:24:10.6604041Z * [new tag] ciflow/inductor/160250 -> ciflow/inductor/160250 2025-08-14T21:24:10.6604249Z * [new tag] ciflow/inductor/160253 -> ciflow/inductor/160253 2025-08-14T21:24:10.6604459Z * [new tag] ciflow/inductor/160266 -> ciflow/inductor/160266 2025-08-14T21:24:10.6604607Z * [new tag] ciflow/inductor/160282 -> ciflow/inductor/160282 2025-08-14T21:24:10.6604768Z * [new tag] ciflow/inductor/160298 -> ciflow/inductor/160298 2025-08-14T21:24:10.6604932Z * [new tag] ciflow/inductor/160301 -> ciflow/inductor/160301 2025-08-14T21:24:10.6605152Z * [new tag] ciflow/inductor/160310 -> ciflow/inductor/160310 2025-08-14T21:24:10.6605450Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-08-14T21:24:10.6605595Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-08-14T21:24:10.6605721Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-08-14T21:24:10.6605858Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-08-14T21:24:10.6605983Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-08-14T21:24:10.6606114Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-08-14T21:24:10.6606378Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-08-14T21:24:10.6606516Z * [new tag] ciflow/inductor/160351 -> ciflow/inductor/160351 2025-08-14T21:24:10.6606660Z * [new tag] ciflow/inductor/160353 -> ciflow/inductor/160353 2025-08-14T21:24:10.6606787Z * [new tag] ciflow/inductor/160362 -> ciflow/inductor/160362 2025-08-14T21:24:10.6606919Z * [new tag] ciflow/inductor/160363 -> ciflow/inductor/160363 2025-08-14T21:24:10.6607046Z * [new tag] ciflow/inductor/160364 -> ciflow/inductor/160364 2025-08-14T21:24:10.6607180Z * [new tag] ciflow/inductor/160365 -> ciflow/inductor/160365 2025-08-14T21:24:10.6607312Z * [new tag] ciflow/inductor/160366 -> ciflow/inductor/160366 2025-08-14T21:24:10.6607439Z * [new tag] ciflow/inductor/160367 -> ciflow/inductor/160367 2025-08-14T21:24:10.6607574Z * [new tag] ciflow/inductor/160368 -> ciflow/inductor/160368 2025-08-14T21:24:10.6607702Z * [new tag] ciflow/inductor/160369 -> ciflow/inductor/160369 2025-08-14T21:24:10.6607833Z * [new tag] ciflow/inductor/160371 -> ciflow/inductor/160371 2025-08-14T21:24:10.6607969Z * [new tag] ciflow/inductor/160374 -> ciflow/inductor/160374 2025-08-14T21:24:10.6608094Z * [new tag] ciflow/inductor/160375 -> ciflow/inductor/160375 2025-08-14T21:24:10.6612749Z * [new tag] ciflow/inductor/160377 -> ciflow/inductor/160377 2025-08-14T21:24:10.6617052Z * [new tag] ciflow/inductor/160380 -> ciflow/inductor/160380 2025-08-14T21:24:10.6618862Z * [new tag] ciflow/inductor/160381 -> ciflow/inductor/160381 2025-08-14T21:24:10.6619006Z * [new tag] ciflow/inductor/160383 -> ciflow/inductor/160383 2025-08-14T21:24:10.6619134Z * [new tag] ciflow/inductor/160394 -> ciflow/inductor/160394 2025-08-14T21:24:10.6619287Z * [new tag] ciflow/inductor/160401 -> ciflow/inductor/160401 2025-08-14T21:24:10.6619570Z * [new tag] ciflow/inductor/160402 -> ciflow/inductor/160402 2025-08-14T21:24:10.6619700Z * [new tag] ciflow/inductor/160403 -> ciflow/inductor/160403 2025-08-14T21:24:10.6619857Z * [new tag] ciflow/inductor/160424 -> ciflow/inductor/160424 2025-08-14T21:24:10.6619984Z * [new tag] ciflow/inductor/160426 -> ciflow/inductor/160426 2025-08-14T21:24:10.6620120Z * [new tag] ciflow/inductor/160431 -> ciflow/inductor/160431 2025-08-14T21:24:10.6620247Z * [new tag] ciflow/inductor/160448 -> ciflow/inductor/160448 2025-08-14T21:24:10.6620394Z * [new tag] ciflow/inductor/160450 -> ciflow/inductor/160450 2025-08-14T21:24:10.6620529Z * [new tag] ciflow/inductor/160455 -> ciflow/inductor/160455 2025-08-14T21:24:10.6620657Z * [new tag] ciflow/inductor/160456 -> ciflow/inductor/160456 2025-08-14T21:24:10.6620794Z * [new tag] ciflow/inductor/160461 -> ciflow/inductor/160461 2025-08-14T21:24:10.6620920Z * [new tag] ciflow/inductor/160462 -> ciflow/inductor/160462 2025-08-14T21:24:10.6621046Z * [new tag] ciflow/inductor/160467 -> ciflow/inductor/160467 2025-08-14T21:24:10.6621179Z * [new tag] ciflow/inductor/160470 -> ciflow/inductor/160470 2025-08-14T21:24:10.6621303Z * [new tag] ciflow/inductor/160473 -> ciflow/inductor/160473 2025-08-14T21:24:10.6621429Z * [new tag] ciflow/inductor/160476 -> ciflow/inductor/160476 2025-08-14T21:24:10.6621562Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-08-14T21:24:10.6621685Z * [new tag] ciflow/inductor/160481 -> ciflow/inductor/160481 2025-08-14T21:24:10.6621889Z * [new tag] ciflow/inductor/160482 -> ciflow/inductor/160482 2025-08-14T21:24:10.6622019Z * [new tag] ciflow/inductor/160483 -> ciflow/inductor/160483 2025-08-14T21:24:10.6622144Z * [new tag] ciflow/inductor/160485 -> ciflow/inductor/160485 2025-08-14T21:24:10.6622283Z * [new tag] ciflow/inductor/160486 -> ciflow/inductor/160486 2025-08-14T21:24:10.6622410Z * [new tag] ciflow/inductor/160503 -> ciflow/inductor/160503 2025-08-14T21:24:10.6622547Z * [new tag] ciflow/inductor/160510 -> ciflow/inductor/160510 2025-08-14T21:24:10.6622672Z * [new tag] ciflow/inductor/160527 -> ciflow/inductor/160527 2025-08-14T21:24:10.6622794Z * [new tag] ciflow/inductor/160530 -> ciflow/inductor/160530 2025-08-14T21:24:10.6622929Z * [new tag] ciflow/inductor/160531 -> ciflow/inductor/160531 2025-08-14T21:24:10.6623550Z * [new tag] ciflow/inductor/160538 -> ciflow/inductor/160538 2025-08-14T21:24:10.6624703Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-08-14T21:24:10.6628060Z * [new tag] ciflow/inductor/160540 -> ciflow/inductor/160540 2025-08-14T21:24:10.6628218Z * [new tag] ciflow/inductor/160548 -> ciflow/inductor/160548 2025-08-14T21:24:10.6628533Z * [new tag] ciflow/inductor/160561 -> ciflow/inductor/160561 2025-08-14T21:24:10.6628725Z * [new tag] ciflow/inductor/160576 -> ciflow/inductor/160576 2025-08-14T21:24:10.6628879Z * [new tag] ciflow/inductor/160578 -> ciflow/inductor/160578 2025-08-14T21:24:10.6629041Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-08-14T21:24:10.6629184Z * [new tag] ciflow/inductor/160583 -> ciflow/inductor/160583 2025-08-14T21:24:10.6629443Z * [new tag] ciflow/inductor/160589 -> ciflow/inductor/160589 2025-08-14T21:24:10.6630122Z * [new tag] ciflow/inductor/160590 -> ciflow/inductor/160590 2025-08-14T21:24:10.6636351Z * [new tag] ciflow/inductor/160592 -> ciflow/inductor/160592 2025-08-14T21:24:10.6642104Z * [new tag] ciflow/inductor/160596 -> ciflow/inductor/160596 2025-08-14T21:24:10.6642275Z * [new tag] ciflow/inductor/160601 -> ciflow/inductor/160601 2025-08-14T21:24:10.6642590Z * [new tag] ciflow/inductor/160607 -> ciflow/inductor/160607 2025-08-14T21:24:10.6642729Z * [new tag] ciflow/inductor/160608 -> ciflow/inductor/160608 2025-08-14T21:24:10.6642887Z * [new tag] ciflow/inductor/160611 -> ciflow/inductor/160611 2025-08-14T21:24:10.6643016Z * [new tag] ciflow/inductor/160614 -> ciflow/inductor/160614 2025-08-14T21:24:10.6643173Z * [new tag] ciflow/inductor/160616 -> ciflow/inductor/160616 2025-08-14T21:24:10.6643305Z * [new tag] ciflow/inductor/160619 -> ciflow/inductor/160619 2025-08-14T21:24:10.6643447Z * [new tag] ciflow/inductor/160625 -> ciflow/inductor/160625 2025-08-14T21:24:10.6643579Z * [new tag] ciflow/inductor/160635 -> ciflow/inductor/160635 2025-08-14T21:24:10.6643703Z * [new tag] ciflow/inductor/160649 -> ciflow/inductor/160649 2025-08-14T21:24:10.6643828Z * [new tag] ciflow/inductor/160658 -> ciflow/inductor/160658 2025-08-14T21:24:10.6643962Z * [new tag] ciflow/inductor/160662 -> ciflow/inductor/160662 2025-08-14T21:24:10.6644087Z * [new tag] ciflow/inductor/160668 -> ciflow/inductor/160668 2025-08-14T21:24:10.6644216Z * [new tag] ciflow/inductor/160669 -> ciflow/inductor/160669 2025-08-14T21:24:10.6644342Z * [new tag] ciflow/inductor/160670 -> ciflow/inductor/160670 2025-08-14T21:24:10.6644609Z * [new tag] ciflow/inductor/160671 -> ciflow/inductor/160671 2025-08-14T21:24:10.6644759Z * [new tag] ciflow/inductor/160677 -> ciflow/inductor/160677 2025-08-14T21:24:10.6644886Z * [new tag] ciflow/inductor/160679 -> ciflow/inductor/160679 2025-08-14T21:24:10.6645037Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-08-14T21:24:10.6645177Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-08-14T21:24:10.6645310Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-08-14T21:24:10.6645476Z * [new tag] ciflow/linux-aarch64/147855 -> ciflow/linux-aarch64/147855 2025-08-14T21:24:10.6645620Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-08-14T21:24:10.6645774Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-08-14T21:24:10.6645922Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-08-14T21:24:10.6646068Z * [new tag] ciflow/linux-aarch64/160299 -> ciflow/linux-aarch64/160299 2025-08-14T21:24:10.6646220Z * [new tag] ciflow/linux-aarch64/160301 -> ciflow/linux-aarch64/160301 2025-08-14T21:24:10.6646352Z * [new tag] ciflow/mps/155923 -> ciflow/mps/155923 2025-08-14T21:24:10.6646481Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-08-14T21:24:10.6646601Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-08-14T21:24:10.6646721Z * [new tag] ciflow/mps/160541 -> ciflow/mps/160541 2025-08-14T21:24:10.6646866Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-08-14T21:24:10.6646995Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-08-14T21:24:10.6647152Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-08-14T21:24:10.6647435Z * [new tag] ciflow/periodic-rocm-mi300/139971 -> ciflow/periodic-rocm-mi300/139971 2025-08-14T21:24:10.6647968Z * [new tag] ciflow/periodic-rocm-mi300/160073 -> ciflow/periodic-rocm-mi300/160073 2025-08-14T21:24:10.6648484Z * [new tag] ciflow/periodic-rocm-mi300/160538 -> ciflow/periodic-rocm-mi300/160538 2025-08-14T21:24:10.6649332Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-08-14T21:24:10.6649616Z * [new tag] ciflow/periodic/131296 -> ciflow/periodic/131296 2025-08-14T21:24:10.6650125Z * [new tag] ciflow/periodic/139971 -> ciflow/periodic/139971 2025-08-14T21:24:10.6650560Z * [new tag] ciflow/periodic/143959 -> ciflow/periodic/143959 2025-08-14T21:24:10.6651035Z * [new tag] ciflow/periodic/154595 -> ciflow/periodic/154595 2025-08-14T21:24:10.6651468Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-08-14T21:24:10.6651899Z * [new tag] ciflow/periodic/160201 -> ciflow/periodic/160201 2025-08-14T21:24:10.6652344Z * [new tag] ciflow/periodic/160424 -> ciflow/periodic/160424 2025-08-14T21:24:10.6653846Z * [new tag] ciflow/periodic/160538 -> ciflow/periodic/160538 2025-08-14T21:24:10.6654230Z * [new tag] ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65 2025-08-14T21:24:10.6658735Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-08-14T21:24:10.6659336Z * [new tag] ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b -> ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b 2025-08-14T21:24:10.6659660Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-08-14T21:24:10.6659812Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-08-14T21:24:10.6659967Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-08-14T21:24:10.6660289Z * [new tag] ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee 2025-08-14T21:24:10.6660589Z * [new tag] ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93 -> ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93 2025-08-14T21:24:10.6660756Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-08-14T21:24:10.6660921Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-08-14T21:24:10.6661082Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-08-14T21:24:10.6661614Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-08-14T21:24:10.6661963Z * [new tag] ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51 -> ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51 2025-08-14T21:24:10.6662283Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-08-14T21:24:10.6664891Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-08-14T21:24:10.6665096Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-08-14T21:24:10.6665518Z * [new tag] ciflow/rocm-mi300/151360 -> ciflow/rocm-mi300/151360 2025-08-14T21:24:10.6665660Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-08-14T21:24:10.6665794Z * [new tag] ciflow/rocm-mi300/160073 -> ciflow/rocm-mi300/160073 2025-08-14T21:24:10.6665927Z * [new tag] ciflow/rocm-mi300/160468 -> ciflow/rocm-mi300/160468 2025-08-14T21:24:10.6670026Z * [new tag] ciflow/rocm-mi300/160538 -> ciflow/rocm-mi300/160538 2025-08-14T21:24:10.6670695Z * [new tag] ciflow/rocm-mi355/160215 -> ciflow/rocm-mi355/160215 2025-08-14T21:24:10.6670852Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-08-14T21:24:10.6670986Z * [new tag] ciflow/rocm/151360 -> ciflow/rocm/151360 2025-08-14T21:24:10.6671104Z * [new tag] ciflow/rocm/151845 -> ciflow/rocm/151845 2025-08-14T21:24:10.6671242Z * [new tag] ciflow/rocm/154864 -> ciflow/rocm/154864 2025-08-14T21:24:10.6671359Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-08-14T21:24:10.6671475Z * [new tag] ciflow/rocm/158219 -> ciflow/rocm/158219 2025-08-14T21:24:10.6671598Z * [new tag] ciflow/rocm/158220 -> ciflow/rocm/158220 2025-08-14T21:24:10.6671732Z * [new tag] ciflow/rocm/158224 -> ciflow/rocm/158224 2025-08-14T21:24:10.6671862Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-08-14T21:24:10.6671979Z * [new tag] ciflow/rocm/160215 -> ciflow/rocm/160215 2025-08-14T21:24:10.6672092Z * [new tag] ciflow/rocm/160468 -> ciflow/rocm/160468 2025-08-14T21:24:10.6672524Z * [new tag] ciflow/rocm/160538 -> ciflow/rocm/160538 2025-08-14T21:24:10.6673048Z * [new tag] ciflow/s390/143959 -> ciflow/s390/143959 2025-08-14T21:24:10.6674272Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-08-14T21:24:10.6674707Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-08-14T21:24:10.6675984Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-08-14T21:24:10.6676275Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-08-14T21:24:10.6676422Z * [new tag] ciflow/slow/154595 -> ciflow/slow/154595 2025-08-14T21:24:10.6676684Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-08-14T21:24:10.6678101Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-08-14T21:24:10.6679053Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-08-14T21:24:10.6679213Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-08-14T21:24:10.6682997Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-08-14T21:24:10.6683241Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-08-14T21:24:10.6683514Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-08-14T21:24:10.6683676Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-08-14T21:24:10.6684029Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-08-14T21:24:10.6684153Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-08-14T21:24:10.6686389Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-08-14T21:24:10.6686779Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-08-14T21:24:10.6686907Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-08-14T21:24:10.6687038Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-08-14T21:24:10.6687386Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-08-14T21:24:10.6687531Z * [new tag] ciflow/trunk/131296 -> ciflow/trunk/131296 2025-08-14T21:24:10.6687872Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-08-14T21:24:10.6687990Z * [new tag] ciflow/trunk/138996 -> ciflow/trunk/138996 2025-08-14T21:24:10.6688114Z * [new tag] ciflow/trunk/139971 -> ciflow/trunk/139971 2025-08-14T21:24:10.6688755Z * [new tag] ciflow/trunk/147360 -> ciflow/trunk/147360 2025-08-14T21:24:10.6688936Z * [new tag] ciflow/trunk/147855 -> ciflow/trunk/147855 2025-08-14T21:24:10.6689066Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-08-14T21:24:10.6689188Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-08-14T21:24:10.6690654Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-08-14T21:24:10.6690838Z * [new tag] ciflow/trunk/150282 -> ciflow/trunk/150282 2025-08-14T21:24:10.6691063Z * [new tag] ciflow/trunk/150302 -> ciflow/trunk/150302 2025-08-14T21:24:10.6691201Z * [new tag] ciflow/trunk/151845 -> ciflow/trunk/151845 2025-08-14T21:24:10.6695740Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-08-14T21:24:10.6695903Z * [new tag] ciflow/trunk/154193 -> ciflow/trunk/154193 2025-08-14T21:24:10.6696044Z * [new tag] ciflow/trunk/154595 -> ciflow/trunk/154595 2025-08-14T21:24:10.6696162Z * [new tag] ciflow/trunk/154650 -> ciflow/trunk/154650 2025-08-14T21:24:10.6696288Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-08-14T21:24:10.6696409Z * [new tag] ciflow/trunk/155958 -> ciflow/trunk/155958 2025-08-14T21:24:10.6696527Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-08-14T21:24:10.6696872Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-08-14T21:24:10.6697262Z * [new tag] ciflow/trunk/156851 -> ciflow/trunk/156851 2025-08-14T21:24:10.6697530Z * [new tag] ciflow/trunk/157148 -> ciflow/trunk/157148 2025-08-14T21:24:10.6697674Z * [new tag] ciflow/trunk/157152 -> ciflow/trunk/157152 2025-08-14T21:24:10.6697802Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-08-14T21:24:10.6697935Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-08-14T21:24:10.6698061Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-08-14T21:24:10.6698190Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-08-14T21:24:10.6698315Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-08-14T21:24:10.6698458Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-08-14T21:24:10.6702462Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-08-14T21:24:10.6702605Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-08-14T21:24:10.6702732Z * [new tag] ciflow/trunk/158219 -> ciflow/trunk/158219 2025-08-14T21:24:10.6703148Z * [new tag] ciflow/trunk/158220 -> ciflow/trunk/158220 2025-08-14T21:24:10.6703306Z * [new tag] ciflow/trunk/158224 -> ciflow/trunk/158224 2025-08-14T21:24:10.6703432Z * [new tag] ciflow/trunk/158529 -> ciflow/trunk/158529 2025-08-14T21:24:10.6703551Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-08-14T21:24:10.6703683Z * [new tag] ciflow/trunk/158810 -> ciflow/trunk/158810 2025-08-14T21:24:10.6703804Z * [new tag] ciflow/trunk/158812 -> ciflow/trunk/158812 2025-08-14T21:24:10.6703951Z * [new tag] ciflow/trunk/158863 -> ciflow/trunk/158863 2025-08-14T21:24:10.6704321Z * [new tag] ciflow/trunk/158864 -> ciflow/trunk/158864 2025-08-14T21:24:10.6704446Z * [new tag] ciflow/trunk/158883 -> ciflow/trunk/158883 2025-08-14T21:24:10.6704570Z * [new tag] ciflow/trunk/158914 -> ciflow/trunk/158914 2025-08-14T21:24:10.6704692Z * [new tag] ciflow/trunk/158965 -> ciflow/trunk/158965 2025-08-14T21:24:10.6704820Z * [new tag] ciflow/trunk/158987 -> ciflow/trunk/158987 2025-08-14T21:24:10.6704937Z * [new tag] ciflow/trunk/159033 -> ciflow/trunk/159033 2025-08-14T21:24:10.6708328Z * [new tag] ciflow/trunk/159140 -> ciflow/trunk/159140 2025-08-14T21:24:10.6708556Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-08-14T21:24:10.6708693Z * [new tag] ciflow/trunk/159553 -> ciflow/trunk/159553 2025-08-14T21:24:10.6708825Z * [new tag] ciflow/trunk/159562 -> ciflow/trunk/159562 2025-08-14T21:24:10.6708941Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-08-14T21:24:10.6709066Z * [new tag] ciflow/trunk/159691 -> ciflow/trunk/159691 2025-08-14T21:24:10.6709178Z * [new tag] ciflow/trunk/159842 -> ciflow/trunk/159842 2025-08-14T21:24:10.6711651Z * [new tag] ciflow/trunk/159889 -> ciflow/trunk/159889 2025-08-14T21:24:10.6712078Z * [new tag] ciflow/trunk/159923 -> ciflow/trunk/159923 2025-08-14T21:24:10.6712223Z * [new tag] ciflow/trunk/160004 -> ciflow/trunk/160004 2025-08-14T21:24:10.6712335Z * [new tag] ciflow/trunk/160113 -> ciflow/trunk/160113 2025-08-14T21:24:10.6712454Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-08-14T21:24:10.6712647Z * [new tag] ciflow/trunk/160168 -> ciflow/trunk/160168 2025-08-14T21:24:10.6712783Z * [new tag] ciflow/trunk/160181 -> ciflow/trunk/160181 2025-08-14T21:24:10.6712907Z * [new tag] ciflow/trunk/160183 -> ciflow/trunk/160183 2025-08-14T21:24:10.6713023Z * [new tag] ciflow/trunk/160190 -> ciflow/trunk/160190 2025-08-14T21:24:10.6713146Z * [new tag] ciflow/trunk/160198 -> ciflow/trunk/160198 2025-08-14T21:24:10.6718059Z * [new tag] ciflow/trunk/160205 -> ciflow/trunk/160205 2025-08-14T21:24:10.6721265Z * [new tag] ciflow/trunk/160219 -> ciflow/trunk/160219 2025-08-14T21:24:10.6721401Z * [new tag] ciflow/trunk/160224 -> ciflow/trunk/160224 2025-08-14T21:24:10.6721538Z * [new tag] ciflow/trunk/160250 -> ciflow/trunk/160250 2025-08-14T21:24:10.6721694Z * [new tag] ciflow/trunk/160253 -> ciflow/trunk/160253 2025-08-14T21:24:10.6721836Z * [new tag] ciflow/trunk/160335 -> ciflow/trunk/160335 2025-08-14T21:24:10.6721960Z * [new tag] ciflow/trunk/160338 -> ciflow/trunk/160338 2025-08-14T21:24:10.6722078Z * [new tag] ciflow/trunk/160383 -> ciflow/trunk/160383 2025-08-14T21:24:10.6722207Z * [new tag] ciflow/trunk/160401 -> ciflow/trunk/160401 2025-08-14T21:24:10.6722334Z * [new tag] ciflow/trunk/160403 -> ciflow/trunk/160403 2025-08-14T21:24:10.6722457Z * [new tag] ciflow/trunk/160430 -> ciflow/trunk/160430 2025-08-14T21:24:10.6722583Z * [new tag] ciflow/trunk/160431 -> ciflow/trunk/160431 2025-08-14T21:24:10.6722707Z * [new tag] ciflow/trunk/160439 -> ciflow/trunk/160439 2025-08-14T21:24:10.6722829Z * [new tag] ciflow/trunk/160449 -> ciflow/trunk/160449 2025-08-14T21:24:10.6723104Z * [new tag] ciflow/trunk/160454 -> ciflow/trunk/160454 2025-08-14T21:24:10.6723222Z * [new tag] ciflow/trunk/160468 -> ciflow/trunk/160468 2025-08-14T21:24:10.6723338Z * [new tag] ciflow/trunk/160481 -> ciflow/trunk/160481 2025-08-14T21:24:10.6723458Z * [new tag] ciflow/trunk/160485 -> ciflow/trunk/160485 2025-08-14T21:24:10.6726672Z * [new tag] ciflow/trunk/160519 -> ciflow/trunk/160519 2025-08-14T21:24:10.6729802Z * [new tag] ciflow/trunk/160527 -> ciflow/trunk/160527 2025-08-14T21:24:10.6729933Z * [new tag] ciflow/trunk/160560 -> ciflow/trunk/160560 2025-08-14T21:24:10.6730056Z * [new tag] ciflow/trunk/160578 -> ciflow/trunk/160578 2025-08-14T21:24:10.6730185Z * [new tag] ciflow/trunk/160589 -> ciflow/trunk/160589 2025-08-14T21:24:10.6730326Z * [new tag] ciflow/trunk/160592 -> ciflow/trunk/160592 2025-08-14T21:24:10.6730467Z * [new tag] ciflow/trunk/160649 -> ciflow/trunk/160649 2025-08-14T21:24:10.6730590Z * [new tag] ciflow/trunk/160656 -> ciflow/trunk/160656 2025-08-14T21:24:10.6730713Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-08-14T21:24:10.6730845Z * [new tag] ciflow/vllm/160116 -> ciflow/vllm/160116 2025-08-14T21:24:10.6730963Z * [new tag] ciflow/vllm/160583 -> ciflow/vllm/160583 2025-08-14T21:24:10.6731085Z * [new tag] ciflow/vllm/160619 -> ciflow/vllm/160619 2025-08-14T21:24:10.6731199Z * [new tag] ciflow/vllm/160625 -> ciflow/vllm/160625 2025-08-14T21:24:10.6731313Z * [new tag] ciflow/vllm/160627 -> ciflow/vllm/160627 2025-08-14T21:24:10.6731610Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-08-14T21:24:10.6731747Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-08-14T21:24:10.6734060Z * [new tag] ciflow/win-arm64/159553 -> ciflow/win-arm64/159553 2025-08-14T21:24:10.6734717Z * [new tag] ciflow/win-arm64/159562 -> ciflow/win-arm64/159562 2025-08-14T21:24:10.6735015Z * [new tag] ciflow/win-arm64/159777 -> ciflow/win-arm64/159777 2025-08-14T21:24:10.6735252Z * [new tag] ciflow/win-arm64/159780 -> ciflow/win-arm64/159780 2025-08-14T21:24:10.6735405Z * [new tag] ciflow/win-arm64/159842 -> ciflow/win-arm64/159842 2025-08-14T21:24:10.6735545Z * [new tag] ciflow/win-arm64/160250 -> ciflow/win-arm64/160250 2025-08-14T21:24:10.6735694Z * [new tag] ciflow/win-arm64/160253 -> ciflow/win-arm64/160253 2025-08-14T21:24:10.6735835Z * [new tag] ciflow/win-arm64/160454 -> ciflow/win-arm64/160454 2025-08-14T21:24:10.6735971Z * [new tag] ciflow/win-arm64/160560 -> ciflow/win-arm64/160560 2025-08-14T21:24:10.6736107Z * [new tag] ciflow/xpu/138996 -> ciflow/xpu/138996 2025-08-14T21:24:10.6736223Z * [new tag] ciflow/xpu/139971 -> ciflow/xpu/139971 2025-08-14T21:24:10.6738946Z * [new tag] ciflow/xpu/140972 -> ciflow/xpu/140972 2025-08-14T21:24:10.6739196Z * [new tag] ciflow/xpu/143553 -> ciflow/xpu/143553 2025-08-14T21:24:10.6739331Z * [new tag] ciflow/xpu/156272 -> ciflow/xpu/156272 2025-08-14T21:24:10.6739498Z * [new tag] ciflow/xpu/156812 -> ciflow/xpu/156812 2025-08-14T21:24:10.6740109Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-08-14T21:24:10.6740273Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-08-14T21:24:10.6740413Z * [new tag] ciflow/xpu/158336 -> ciflow/xpu/158336 2025-08-14T21:24:10.6740718Z * [new tag] ciflow/xpu/158733 -> ciflow/xpu/158733 2025-08-14T21:24:10.6740836Z * [new tag] ciflow/xpu/159033 -> ciflow/xpu/159033 2025-08-14T21:24:10.6740955Z * [new tag] ciflow/xpu/159118 -> ciflow/xpu/159118 2025-08-14T21:24:10.6741113Z * [new tag] ciflow/xpu/159140 -> ciflow/xpu/159140 2025-08-14T21:24:10.6741747Z * [new tag] ciflow/xpu/159241 -> ciflow/xpu/159241 2025-08-14T21:24:10.6742234Z * [new tag] ciflow/xpu/159473 -> ciflow/xpu/159473 2025-08-14T21:24:10.6742850Z * [new tag] ciflow/xpu/159474 -> ciflow/xpu/159474 2025-08-14T21:24:10.6743202Z * [new tag] ciflow/xpu/159553 -> ciflow/xpu/159553 2025-08-14T21:24:10.6743804Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-08-14T21:24:10.6745487Z * [new tag] ciflow/xpu/160062 -> ciflow/xpu/160062 2025-08-14T21:24:10.6745733Z * [new tag] ciflow/xpu/160067 -> ciflow/xpu/160067 2025-08-14T21:24:10.6745861Z * [new tag] ciflow/xpu/160158 -> ciflow/xpu/160158 2025-08-14T21:24:10.6745971Z * [new tag] ciflow/xpu/160173 -> ciflow/xpu/160173 2025-08-14T21:24:10.6746185Z * [new tag] ciflow/xpu/160183 -> ciflow/xpu/160183 2025-08-14T21:24:10.6746630Z * [new tag] ciflow/xpu/160301 -> ciflow/xpu/160301 2025-08-14T21:24:10.6748153Z * [new tag] ciflow/xpu/160403 -> ciflow/xpu/160403 2025-08-14T21:24:10.6748343Z * [new tag] ciflow/xpu/160606 -> ciflow/xpu/160606 2025-08-14T21:24:10.6748504Z * [new tag] cslpull75 -> cslpull75 2025-08-14T21:24:10.6749920Z * [new tag] cslpull76 -> cslpull76 2025-08-14T21:24:10.6750236Z * [new tag] cslpull77 -> cslpull77 2025-08-14T21:24:10.6750375Z * [new tag] cslpull78 -> cslpull78 2025-08-14T21:24:10.6750851Z * [new tag] cslpull79 -> cslpull79 2025-08-14T21:24:10.6753218Z * [new tag] cslpull80 -> cslpull80 2025-08-14T21:24:10.6753373Z * [new tag] cslpull81 -> cslpull81 2025-08-14T21:24:10.6753487Z * [new tag] cslpull82 -> cslpull82 2025-08-14T21:24:10.6753590Z * [new tag] cslpull83 -> cslpull83 2025-08-14T21:24:10.6754205Z * [new tag] cslpull84 -> cslpull84 2025-08-14T21:24:10.6754567Z * [new tag] cslpull85 -> cslpull85 2025-08-14T21:24:10.6758694Z * [new tag] cslpull86 -> cslpull86 2025-08-14T21:24:10.6759010Z * [new tag] cslpull87 -> cslpull87 2025-08-14T21:24:10.6759157Z * [new tag] cslpull88 -> cslpull88 2025-08-14T21:24:10.6759266Z * [new tag] cslpull89 -> cslpull89 2025-08-14T21:24:10.6759499Z * [new tag] cslpull90 -> cslpull90 2025-08-14T21:24:10.6759630Z * [new tag] cslpull91 -> cslpull91 2025-08-14T21:24:10.6759771Z * [new tag] cslpull92 -> cslpull92 2025-08-14T21:24:10.6759909Z * [new tag] flight_5 -> flight_5 2025-08-14T21:24:10.6761187Z * [new tag] flight_5.1 -> flight_5.1 2025-08-14T21:24:10.6761486Z * [new tag] flight_5.2 -> flight_5.2 2025-08-14T21:24:10.6761782Z * [new tag] flight_5.3 -> flight_5.3 2025-08-14T21:24:10.6765531Z * [new tag] forpull1 -> forpull1 2025-08-14T21:24:10.6766021Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-08-14T21:24:10.6766200Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-08-14T21:24:10.6766357Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-08-14T21:24:10.6766513Z * [new tag] nightly-binary -> nightly-binary 2025-08-14T21:24:10.6766679Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-08-14T21:24:10.6766920Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-08-14T21:24:10.6767660Z * [new tag] trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6 -> trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6 2025-08-14T21:24:10.6768308Z * [new tag] trunk/017259f9c65b6fad55fb9597d7077e2543eaae46 -> trunk/017259f9c65b6fad55fb9597d7077e2543eaae46 2025-08-14T21:24:10.6768757Z * [new tag] trunk/01bcf9a40dea937637d2cdd530bed2652510943d -> trunk/01bcf9a40dea937637d2cdd530bed2652510943d 2025-08-14T21:24:10.6769353Z * [new tag] trunk/01f66d08d93365015f4af005a252f439c4d4013a -> trunk/01f66d08d93365015f4af005a252f439c4d4013a 2025-08-14T21:24:10.6769895Z * [new tag] trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e -> trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e 2025-08-14T21:24:10.6770389Z * [new tag] trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb -> trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb 2025-08-14T21:24:10.6771123Z * [new tag] trunk/05c19d1acecc01b0d2512364183058a6885b9869 -> trunk/05c19d1acecc01b0d2512364183058a6885b9869 2025-08-14T21:24:10.6771870Z * [new tag] trunk/05c417715f791875fbf28cfc3fc86142de1a3206 -> trunk/05c417715f791875fbf28cfc3fc86142de1a3206 2025-08-14T21:24:10.6772697Z * [new tag] trunk/06824f3c7268bb807a422b663047cd0900ddd126 -> trunk/06824f3c7268bb807a422b663047cd0900ddd126 2025-08-14T21:24:10.6773137Z * [new tag] trunk/077cb389746a7d61cfc018aad2ba29a8aa195610 -> trunk/077cb389746a7d61cfc018aad2ba29a8aa195610 2025-08-14T21:24:10.6775487Z * [new tag] trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057 -> trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057 2025-08-14T21:24:10.6775940Z * [new tag] trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1 -> trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1 2025-08-14T21:24:10.6776242Z * [new tag] trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde -> trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde 2025-08-14T21:24:10.6776490Z * [new tag] trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4 -> trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4 2025-08-14T21:24:10.6776739Z * [new tag] trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81 -> trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81 2025-08-14T21:24:10.6777001Z * [new tag] trunk/0d71ca2c46753bb268bfdcf815c14415c122a289 -> trunk/0d71ca2c46753bb268bfdcf815c14415c122a289 2025-08-14T21:24:10.6777251Z * [new tag] trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b -> trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b 2025-08-14T21:24:10.6777509Z * [new tag] trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11 -> trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11 2025-08-14T21:24:10.6777884Z * [new tag] trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca -> trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca 2025-08-14T21:24:10.6779554Z * [new tag] trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483 -> trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483 2025-08-14T21:24:10.6786227Z * [new tag] trunk/1028c5e2d50e121865bf98307e7c035f549a24b2 -> trunk/1028c5e2d50e121865bf98307e7c035f549a24b2 2025-08-14T21:24:10.6786714Z * [new tag] trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e -> trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e 2025-08-14T21:24:10.6787249Z * [new tag] trunk/10e3514c962b58cbbee994257872a626ff76d51b -> trunk/10e3514c962b58cbbee994257872a626ff76d51b 2025-08-14T21:24:10.6787593Z * [new tag] trunk/1128f4c2a822cbe34a9d966306af15097179ffe1 -> trunk/1128f4c2a822cbe34a9d966306af15097179ffe1 2025-08-14T21:24:10.6788320Z * [new tag] trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e -> trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e 2025-08-14T21:24:10.6788754Z * [new tag] trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76 -> trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76 2025-08-14T21:24:10.6789130Z * [new tag] trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91 -> trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91 2025-08-14T21:24:10.6789384Z * [new tag] trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8 -> trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8 2025-08-14T21:24:10.6789761Z * [new tag] trunk/15e49f61643e4c0eef420f0981609709ef55b848 -> trunk/15e49f61643e4c0eef420f0981609709ef55b848 2025-08-14T21:24:10.6790427Z * [new tag] trunk/16d15445f8bd8740095b23de4af89d757af793ca -> trunk/16d15445f8bd8740095b23de4af89d757af793ca 2025-08-14T21:24:10.6790876Z * [new tag] trunk/178515d0ff6833c8e9221482b2a650ab31e00019 -> trunk/178515d0ff6833c8e9221482b2a650ab31e00019 2025-08-14T21:24:10.6791336Z * [new tag] trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe -> trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe 2025-08-14T21:24:10.6791681Z * [new tag] trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf -> trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf 2025-08-14T21:24:10.6792330Z * [new tag] trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca -> trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca 2025-08-14T21:24:10.6792618Z * [new tag] trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014 -> trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014 2025-08-14T21:24:10.6793152Z * [new tag] trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a -> trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a 2025-08-14T21:24:10.6793583Z * [new tag] trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7 -> trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7 2025-08-14T21:24:10.6794452Z * [new tag] trunk/1c2587119152cec3905647a47c65d3d26619c5a8 -> trunk/1c2587119152cec3905647a47c65d3d26619c5a8 2025-08-14T21:24:10.6794829Z * [new tag] trunk/1c26c53851c212a7c90a325549a72f0571613a8c -> trunk/1c26c53851c212a7c90a325549a72f0571613a8c 2025-08-14T21:24:10.6798335Z * [new tag] trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613 -> trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613 2025-08-14T21:24:10.6798626Z * [new tag] trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3 -> trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3 2025-08-14T21:24:10.6798897Z * [new tag] trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc -> trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc 2025-08-14T21:24:10.6799137Z * [new tag] trunk/1f4057c11ac941fb324386ca594d0a6882185aad -> trunk/1f4057c11ac941fb324386ca594d0a6882185aad 2025-08-14T21:24:10.6799379Z * [new tag] trunk/1fc683cf17c8c673044538d10266c00f92987be2 -> trunk/1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:24:10.6799627Z * [new tag] trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65 2025-08-14T21:24:10.6799875Z * [new tag] trunk/206c1eef6571f906c2792d899a09136b3fce9673 -> trunk/206c1eef6571f906c2792d899a09136b3fce9673 2025-08-14T21:24:10.6800116Z * [new tag] trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb -> trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb 2025-08-14T21:24:10.6800495Z * [new tag] trunk/21392c0e06ac2b2621950455975ca6332f0bf641 -> trunk/21392c0e06ac2b2621950455975ca6332f0bf641 2025-08-14T21:24:10.6800740Z * [new tag] trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6 -> trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6 2025-08-14T21:24:10.6801138Z * [new tag] trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d -> trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d 2025-08-14T21:24:10.6801850Z * [new tag] trunk/231c72240d80091f099c95e326d3600cba866eee -> trunk/231c72240d80091f099c95e326d3600cba866eee 2025-08-14T21:24:10.6802224Z * [new tag] trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c -> trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c 2025-08-14T21:24:10.6805090Z * [new tag] trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd -> trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd 2025-08-14T21:24:10.6805563Z * [new tag] trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9 -> trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9 2025-08-14T21:24:10.6805966Z * [new tag] trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227 -> trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227 2025-08-14T21:24:10.6806360Z * [new tag] trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72 -> trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72 2025-08-14T21:24:10.6807052Z * [new tag] trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c -> trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c 2025-08-14T21:24:10.6807346Z * [new tag] trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31 -> trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31 2025-08-14T21:24:10.6807622Z * [new tag] trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad -> trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad 2025-08-14T21:24:10.6807883Z * [new tag] trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1 -> trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1 2025-08-14T21:24:10.6808431Z * [new tag] trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51 -> trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51 2025-08-14T21:24:10.6808888Z * [new tag] trunk/2ee22e435131369a7e4f8cc4732579acc29a941b -> trunk/2ee22e435131369a7e4f8cc4732579acc29a941b 2025-08-14T21:24:10.6809359Z * [new tag] trunk/2f4c2226175512af787725c4d5ad7313c60d4db1 -> trunk/2f4c2226175512af787725c4d5ad7313c60d4db1 2025-08-14T21:24:10.6809958Z * [new tag] trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5 -> trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5 2025-08-14T21:24:10.6810484Z * [new tag] trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2 -> trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2 2025-08-14T21:24:10.6811141Z * [new tag] trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6 -> trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6 2025-08-14T21:24:10.6812296Z * [new tag] trunk/305fa2239365ad17ac9c534a68bba8a149c42d67 -> trunk/305fa2239365ad17ac9c534a68bba8a149c42d67 2025-08-14T21:24:10.6812547Z * [new tag] trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706 -> trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706 2025-08-14T21:24:10.6812898Z * [new tag] trunk/32099961d588fc19ead8afe805d6b5108de75669 -> trunk/32099961d588fc19ead8afe805d6b5108de75669 2025-08-14T21:24:10.6814682Z * [new tag] trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047 -> trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047 2025-08-14T21:24:10.6814976Z * [new tag] trunk/334b38ccc4427b1d14981c48a3a0b92180d58225 -> trunk/334b38ccc4427b1d14981c48a3a0b92180d58225 2025-08-14T21:24:10.6815235Z * [new tag] trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513 -> trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513 2025-08-14T21:24:10.6815631Z * [new tag] trunk/33d94018668951611b318b7515ae96f04e48eac0 -> trunk/33d94018668951611b318b7515ae96f04e48eac0 2025-08-14T21:24:10.6815993Z * [new tag] trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb -> trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb 2025-08-14T21:24:10.6816459Z * [new tag] trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673 -> trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673 2025-08-14T21:24:10.6816978Z * [new tag] trunk/355462e1278d818deb9ef4a184073d5b66074816 -> trunk/355462e1278d818deb9ef4a184073d5b66074816 2025-08-14T21:24:10.6821832Z * [new tag] trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919 -> trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919 2025-08-14T21:24:10.6822107Z * [new tag] trunk/36f46d082a4954921cb8493223f000f2aab79ed7 -> trunk/36f46d082a4954921cb8493223f000f2aab79ed7 2025-08-14T21:24:10.6823122Z * [new tag] trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2 -> trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2 2025-08-14T21:24:10.6823367Z * [new tag] trunk/3a562374401113187ce2566b87e3f1d87d7c53aa -> trunk/3a562374401113187ce2566b87e3f1d87d7c53aa 2025-08-14T21:24:10.6823624Z * [new tag] trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae -> trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae 2025-08-14T21:24:10.6824105Z * [new tag] trunk/3be70dc30e893b552fc0f23ca06cd8f7949b6d08 -> trunk/3be70dc30e893b552fc0f23ca06cd8f7949b6d08 2025-08-14T21:24:10.6824681Z * [new tag] trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0 -> trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0 2025-08-14T21:24:10.6832341Z * [new tag] trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2 -> trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2 2025-08-14T21:24:10.6837844Z * [new tag] trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f -> trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f 2025-08-14T21:24:10.6842223Z * [new tag] trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0 -> trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0 2025-08-14T21:24:10.6846549Z * [new tag] trunk/3faee0a6318afcbbbb48687009a459214910d820 -> trunk/3faee0a6318afcbbbb48687009a459214910d820 2025-08-14T21:24:10.6848708Z * [new tag] trunk/3fcd79e023da7156ac584992ebab29205d3b7881 -> trunk/3fcd79e023da7156ac584992ebab29205d3b7881 2025-08-14T21:24:10.6848979Z * [new tag] trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6 -> trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6 2025-08-14T21:24:10.6849223Z * [new tag] trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23 -> trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23 2025-08-14T21:24:10.6849454Z * [new tag] trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60 -> trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60 2025-08-14T21:24:10.6849724Z * [new tag] trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d -> trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d 2025-08-14T21:24:10.6849959Z * [new tag] trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f -> trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f 2025-08-14T21:24:10.6850195Z * [new tag] trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3 -> trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3 2025-08-14T21:24:10.6850434Z * [new tag] trunk/45ba7ecda876685b083cbbe932450560c566826b -> trunk/45ba7ecda876685b083cbbe932450560c566826b 2025-08-14T21:24:10.6850678Z * [new tag] trunk/47a1db823dfcdacdb99f317428fc3791a18c5812 -> trunk/47a1db823dfcdacdb99f317428fc3791a18c5812 2025-08-14T21:24:10.6850924Z * [new tag] trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee 2025-08-14T21:24:10.6851156Z * [new tag] trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3 -> trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3 2025-08-14T21:24:10.6851410Z * [new tag] trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d -> trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d 2025-08-14T21:24:10.6851637Z * [new tag] trunk/4d419a74610c32b1372f8802dcc61893740a23cf -> trunk/4d419a74610c32b1372f8802dcc61893740a23cf 2025-08-14T21:24:10.6851881Z * [new tag] trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235 -> trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235 2025-08-14T21:24:10.6852133Z * [new tag] trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc -> trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc 2025-08-14T21:24:10.6852420Z * [new tag] trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42 -> trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42 2025-08-14T21:24:10.6852663Z * [new tag] trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d -> trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d 2025-08-14T21:24:10.6852902Z * [new tag] trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa -> trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa 2025-08-14T21:24:10.6853279Z * [new tag] trunk/53e39494958b7e2278cc8176f63636e812e8945f -> trunk/53e39494958b7e2278cc8176f63636e812e8945f 2025-08-14T21:24:10.6853539Z * [new tag] trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce -> trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce 2025-08-14T21:24:10.6853778Z * [new tag] trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919 -> trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919 2025-08-14T21:24:10.6854024Z * [new tag] trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3 -> trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3 2025-08-14T21:24:10.6854267Z * [new tag] trunk/56c828bef93eada0e18d2cc013207831ca80cc99 -> trunk/56c828bef93eada0e18d2cc013207831ca80cc99 2025-08-14T21:24:10.6854495Z * [new tag] trunk/5737372862253a0ac0292407a5844796f02380ad -> trunk/5737372862253a0ac0292407a5844796f02380ad 2025-08-14T21:24:10.6854727Z * [new tag] trunk/57f738b6357cc8fcdde479a0948e723809a1a44d -> trunk/57f738b6357cc8fcdde479a0948e723809a1a44d 2025-08-14T21:24:10.6854958Z * [new tag] trunk/5a40c5784482255b9baf14086cc4b9349fc6d512 -> trunk/5a40c5784482255b9baf14086cc4b9349fc6d512 2025-08-14T21:24:10.6855204Z * [new tag] trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307 -> trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307 2025-08-14T21:24:10.6855484Z * [new tag] trunk/5ace061254af71aa83d1baae81aa1864c9746add -> trunk/5ace061254af71aa83d1baae81aa1864c9746add 2025-08-14T21:24:10.6855742Z * [new tag] trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f -> trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f 2025-08-14T21:24:10.6855978Z * [new tag] trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf -> trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf 2025-08-14T21:24:10.6856214Z * [new tag] trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a -> trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a 2025-08-14T21:24:10.6856450Z * [new tag] trunk/5f5f508aa836a46dfe88857fb223049616b94e93 -> trunk/5f5f508aa836a46dfe88857fb223049616b94e93 2025-08-14T21:24:10.6856679Z * [new tag] trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca -> trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca 2025-08-14T21:24:10.6856923Z * [new tag] trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc -> trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc 2025-08-14T21:24:10.6857164Z * [new tag] trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62 -> trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62 2025-08-14T21:24:10.6857385Z * [new tag] trunk/641ee7478150f26969968f49d8b358e199679a8a -> trunk/641ee7478150f26969968f49d8b358e199679a8a 2025-08-14T21:24:10.6857623Z * [new tag] trunk/65053c03a3d209060cb239d20a229dac37cf9dd1 -> trunk/65053c03a3d209060cb239d20a229dac37cf9dd1 2025-08-14T21:24:10.6857857Z * [new tag] trunk/652a6f5954d039d61dc6e6575ccf89d385d74537 -> trunk/652a6f5954d039d61dc6e6575ccf89d385d74537 2025-08-14T21:24:10.6858109Z * [new tag] trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14 -> trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14 2025-08-14T21:24:10.6858351Z * [new tag] trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c -> trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c 2025-08-14T21:24:10.6858605Z * [new tag] trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f -> trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f 2025-08-14T21:24:10.6858887Z * [new tag] trunk/6be6d06295c870c77a6eb69f96b3170d983520d5 -> trunk/6be6d06295c870c77a6eb69f96b3170d983520d5 2025-08-14T21:24:10.6859137Z * [new tag] trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49 -> trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49 2025-08-14T21:24:10.6859391Z * [new tag] trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66 -> trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66 2025-08-14T21:24:10.6859633Z * [new tag] trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7 -> trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7 2025-08-14T21:24:10.6859887Z * [new tag] trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58 -> trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58 2025-08-14T21:24:10.6860120Z * [new tag] trunk/6ee175195ac7853734d64704171993cc6265eb38 -> trunk/6ee175195ac7853734d64704171993cc6265eb38 2025-08-14T21:24:10.6860363Z * [new tag] trunk/6f0f4e0c3eacd479864319127915f869f64e1935 -> trunk/6f0f4e0c3eacd479864319127915f869f64e1935 2025-08-14T21:24:10.6860631Z * [new tag] trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8 -> trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8 2025-08-14T21:24:10.6860870Z * [new tag] trunk/72009ec6bebca7714f99c18449183787f202af4d -> trunk/72009ec6bebca7714f99c18449183787f202af4d 2025-08-14T21:24:10.6861124Z * [new tag] trunk/731ee31f7b6ba19307daab323f6196172b71aaf8 -> trunk/731ee31f7b6ba19307daab323f6196172b71aaf8 2025-08-14T21:24:10.6861370Z * [new tag] trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59 -> trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59 2025-08-14T21:24:10.6861608Z * [new tag] trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41 -> trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41 2025-08-14T21:24:10.6861906Z * [new tag] trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4 -> trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4 2025-08-14T21:24:10.6862156Z * [new tag] trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299 -> trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299 2025-08-14T21:24:10.6862402Z * [new tag] trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114 -> trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114 2025-08-14T21:24:10.6862645Z * [new tag] trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef -> trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef 2025-08-14T21:24:10.6862893Z * [new tag] trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac -> trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac 2025-08-14T21:24:10.6863128Z * [new tag] trunk/7e27347fd353928c99620495c8c531a5eba7d56b -> trunk/7e27347fd353928c99620495c8c531a5eba7d56b 2025-08-14T21:24:10.6863358Z * [new tag] trunk/7e91394955721c77645fcdb75a5d47a255d65020 -> trunk/7e91394955721c77645fcdb75a5d47a255d65020 2025-08-14T21:24:10.6863612Z * [new tag] trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001 -> trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001 2025-08-14T21:24:10.6868462Z * [new tag] trunk/7fbc22855c17741ae016992803b2e147a13aa22d -> trunk/7fbc22855c17741ae016992803b2e147a13aa22d 2025-08-14T21:24:10.6873503Z * [new tag] trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348 -> trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348 2025-08-14T21:24:10.6878572Z * [new tag] trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2 -> trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2 2025-08-14T21:24:10.6882770Z * [new tag] trunk/80cca8307943ba64168208b54028f55b2c71daff -> trunk/80cca8307943ba64168208b54028f55b2c71daff 2025-08-14T21:24:10.6884998Z * [new tag] trunk/8147370733bbdcd034cad54e9212e51885a11892 -> trunk/8147370733bbdcd034cad54e9212e51885a11892 2025-08-14T21:24:10.6885405Z * [new tag] trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26 -> trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26 2025-08-14T21:24:10.6890626Z * [new tag] trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654 -> trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654 2025-08-14T21:24:10.6893106Z * [new tag] trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f -> trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f 2025-08-14T21:24:10.6893522Z * [new tag] trunk/85db508af533649d0b3447ff3f0d5fe083150c84 -> trunk/85db508af533649d0b3447ff3f0d5fe083150c84 2025-08-14T21:24:10.6898003Z * [new tag] trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a -> trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a 2025-08-14T21:24:10.6898326Z * [new tag] trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367 -> trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367 2025-08-14T21:24:10.6898589Z * [new tag] trunk/89654db1abccf7e5f261989a150db4d1619ea2aa -> trunk/89654db1abccf7e5f261989a150db4d1619ea2aa 2025-08-14T21:24:10.6898866Z * [new tag] trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1 -> trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1 2025-08-14T21:24:10.6899123Z * [new tag] trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d -> trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d 2025-08-14T21:24:10.6899368Z * [new tag] trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6 -> trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6 2025-08-14T21:24:10.6899627Z * [new tag] trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0 -> trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0 2025-08-14T21:24:10.6899887Z * [new tag] trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4 -> trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4 2025-08-14T21:24:10.6900149Z * [new tag] trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d -> trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d 2025-08-14T21:24:10.6900408Z * [new tag] trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1 -> trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1 2025-08-14T21:24:10.6900846Z * [new tag] trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347 -> trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347 2025-08-14T21:24:10.6901104Z * [new tag] trunk/8d6d3246316e1767a57d5e855acd6208da753b75 -> trunk/8d6d3246316e1767a57d5e855acd6208da753b75 2025-08-14T21:24:10.6901358Z * [new tag] trunk/8e6a3138581152ab827a0997f34c470271399f5e -> trunk/8e6a3138581152ab827a0997f34c470271399f5e 2025-08-14T21:24:10.6901616Z * [new tag] trunk/8eee08d2279b98af2522debb6512d37e837e89e3 -> trunk/8eee08d2279b98af2522debb6512d37e837e89e3 2025-08-14T21:24:10.6901870Z * [new tag] trunk/90b78ee50f73b5c963996076a3d54b74b1b965be -> trunk/90b78ee50f73b5c963996076a3d54b74b1b965be 2025-08-14T21:24:10.6902156Z * [new tag] trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6 -> trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6 2025-08-14T21:24:10.6902399Z * [new tag] trunk/95210cc409dd578988c7116b47725c304dea54c7 -> trunk/95210cc409dd578988c7116b47725c304dea54c7 2025-08-14T21:24:10.6902643Z * [new tag] trunk/96bd33b2de79598566df395f32e27c4d33673f05 -> trunk/96bd33b2de79598566df395f32e27c4d33673f05 2025-08-14T21:24:10.6902886Z * [new tag] trunk/9708fcf92db88b80b9010c68662d634434da3106 -> trunk/9708fcf92db88b80b9010c68662d634434da3106 2025-08-14T21:24:10.6903135Z * [new tag] trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8 -> trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8 2025-08-14T21:24:10.6903390Z * [new tag] trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8 -> trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8 2025-08-14T21:24:10.6903637Z * [new tag] trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd -> trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd 2025-08-14T21:24:10.6903894Z * [new tag] trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd -> trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd 2025-08-14T21:24:10.6904141Z * [new tag] trunk/9a0f7a3bb01b235ea04581ee540970a098071b72 -> trunk/9a0f7a3bb01b235ea04581ee540970a098071b72 2025-08-14T21:24:10.6904698Z * [new tag] trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8 -> trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8 2025-08-14T21:24:10.6904967Z * [new tag] trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df -> trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df 2025-08-14T21:24:10.6905225Z * [new tag] trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc -> trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc 2025-08-14T21:24:10.6905473Z * [new tag] trunk/9e07673deb212c87b1c6fea23799a97474c476ed -> trunk/9e07673deb212c87b1c6fea23799a97474c476ed 2025-08-14T21:24:10.6905725Z * [new tag] trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09 -> trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09 2025-08-14T21:24:10.6905978Z * [new tag] trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674 -> trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674 2025-08-14T21:24:10.6906238Z * [new tag] trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715 -> trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715 2025-08-14T21:24:10.6906493Z * [new tag] trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69 -> trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69 2025-08-14T21:24:10.6906756Z * [new tag] trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c -> trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c 2025-08-14T21:24:10.6907003Z * [new tag] trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600 -> trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600 2025-08-14T21:24:10.6907273Z * [new tag] trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b -> trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b 2025-08-14T21:24:10.6907528Z * [new tag] trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae -> trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae 2025-08-14T21:24:10.6907815Z * [new tag] trunk/a5652407e4f3d772fc44486ac2abf756decf0861 -> trunk/a5652407e4f3d772fc44486ac2abf756decf0861 2025-08-14T21:24:10.6908079Z * [new tag] trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b -> trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b 2025-08-14T21:24:10.6908323Z * [new tag] trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332 -> trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332 2025-08-14T21:24:10.6908589Z * [new tag] trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883 -> trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883 2025-08-14T21:24:10.6908841Z * [new tag] trunk/adcca7d9a1c053495e99012de801b2ea237faad0 -> trunk/adcca7d9a1c053495e99012de801b2ea237faad0 2025-08-14T21:24:10.6909094Z * [new tag] trunk/af10f1f86cc4effc93142a447693d8be55966615 -> trunk/af10f1f86cc4effc93142a447693d8be55966615 2025-08-14T21:24:10.6909357Z * [new tag] trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c -> trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c 2025-08-14T21:24:10.6909607Z * [new tag] trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107 -> trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107 2025-08-14T21:24:10.6909853Z * [new tag] trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5 -> trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5 2025-08-14T21:24:10.6910094Z * [new tag] trunk/b1a602762e6a6674b406a3137e7e7a678885a97b -> trunk/b1a602762e6a6674b406a3137e7e7a678885a97b 2025-08-14T21:24:10.6910350Z * [new tag] trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc -> trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc 2025-08-14T21:24:10.6910604Z * [new tag] trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753 -> trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753 2025-08-14T21:24:10.6910848Z * [new tag] trunk/b4596895b9d85a686c2cb978938b0a7797b3690a -> trunk/b4596895b9d85a686c2cb978938b0a7797b3690a 2025-08-14T21:24:10.6911106Z * [new tag] trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02 -> trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02 2025-08-14T21:24:10.6911437Z * [new tag] trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf -> trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf 2025-08-14T21:24:10.6911706Z * [new tag] trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64 -> trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64 2025-08-14T21:24:10.6911960Z * [new tag] trunk/b7db86600a2614adc71c92ca42d359a7ac534d78 -> trunk/b7db86600a2614adc71c92ca42d359a7ac534d78 2025-08-14T21:24:10.6912203Z * [new tag] trunk/b9003ed3d87699e81e436719625a21996a6654e5 -> trunk/b9003ed3d87699e81e436719625a21996a6654e5 2025-08-14T21:24:10.6912475Z * [new tag] trunk/b90feeac86bda00afc2789321bcd706015ff44e3 -> trunk/b90feeac86bda00afc2789321bcd706015ff44e3 2025-08-14T21:24:10.6912735Z * [new tag] trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8 -> trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8 2025-08-14T21:24:10.6912991Z * [new tag] trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4 -> trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4 2025-08-14T21:24:10.6913244Z * [new tag] trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491 -> trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491 2025-08-14T21:24:10.6913488Z * [new tag] trunk/bcf23ecc476df2bd7479f142567213e2623308ee -> trunk/bcf23ecc476df2bd7479f142567213e2623308ee 2025-08-14T21:24:10.6913739Z * [new tag] trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff -> trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff 2025-08-14T21:24:10.6913990Z * [new tag] trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941 -> trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941 2025-08-14T21:24:10.6914231Z * [new tag] trunk/bfc873d02ec413344717493e4175a902921359fd -> trunk/bfc873d02ec413344717493e4175a902921359fd 2025-08-14T21:24:10.6914509Z * [new tag] trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca -> trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca 2025-08-14T21:24:10.6914756Z * [new tag] trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431 -> trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431 2025-08-14T21:24:10.6915004Z * [new tag] trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4 -> trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4 2025-08-14T21:24:10.6915241Z * [new tag] trunk/c5ec5458a547f7a774468ea0eb2258d3de596492 -> trunk/c5ec5458a547f7a774468ea0eb2258d3de596492 2025-08-14T21:24:10.6915491Z * [new tag] trunk/c5efc5c8a66eca84865015058b3221013ebfe685 -> trunk/c5efc5c8a66eca84865015058b3221013ebfe685 2025-08-14T21:24:10.6915719Z * [new tag] trunk/c6563341208003f64c131854a9cf029555f786d2 -> trunk/c6563341208003f64c131854a9cf029555f786d2 2025-08-14T21:24:10.6915967Z * [new tag] trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e -> trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e 2025-08-14T21:24:10.6916226Z * [new tag] trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23 -> trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23 2025-08-14T21:24:10.6916470Z * [new tag] trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5 -> trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5 2025-08-14T21:24:10.6916714Z * [new tag] trunk/c86040a8e68f754b90a84099187d3624954c7f36 -> trunk/c86040a8e68f754b90a84099187d3624954c7f36 2025-08-14T21:24:10.6916958Z * [new tag] trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4 -> trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4 2025-08-14T21:24:10.6917209Z * [new tag] trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9 -> trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9 2025-08-14T21:24:10.6917458Z * [new tag] trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff -> trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff 2025-08-14T21:24:10.6917702Z * [new tag] trunk/cbffde774557752cf20447d42d99ec6102673c31 -> trunk/cbffde774557752cf20447d42d99ec6102673c31 2025-08-14T21:24:10.6917974Z * [new tag] trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc -> trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc 2025-08-14T21:24:10.6918263Z * [new tag] trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf -> trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf 2025-08-14T21:24:10.6918517Z * [new tag] trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81 -> trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81 2025-08-14T21:24:10.6918765Z * [new tag] trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0 -> trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0 2025-08-14T21:24:10.6919110Z * [new tag] trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2 -> trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2 2025-08-14T21:24:10.6919733Z * [new tag] trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3 -> trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3 2025-08-14T21:24:10.6920324Z * [new tag] trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c -> trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c 2025-08-14T21:24:10.6921019Z * [new tag] trunk/d3d359dbafa89173a371e2637f22b47398e94a24 -> trunk/d3d359dbafa89173a371e2637f22b47398e94a24 2025-08-14T21:24:10.6921794Z * [new tag] trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1 -> trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1 2025-08-14T21:24:10.6922416Z * [new tag] trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f -> trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f 2025-08-14T21:24:10.6923127Z * [new tag] trunk/d556586448f3caab85673c7da0978fe31c7748f7 -> trunk/d556586448f3caab85673c7da0978fe31c7748f7 2025-08-14T21:24:10.6923858Z * [new tag] trunk/d670304001429a1a833255a918ed788d7ec4989a -> trunk/d670304001429a1a833255a918ed788d7ec4989a 2025-08-14T21:24:10.6924591Z * [new tag] trunk/d6786741a77aba200c78002646cc069b7a1799b0 -> trunk/d6786741a77aba200c78002646cc069b7a1799b0 2025-08-14T21:24:10.6925649Z * [new tag] trunk/d68c323692dedcbb74e670801e3502944fd790ff -> trunk/d68c323692dedcbb74e670801e3502944fd790ff 2025-08-14T21:24:10.6925906Z * [new tag] trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c -> trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c 2025-08-14T21:24:10.6926379Z * [new tag] trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd -> trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd 2025-08-14T21:24:10.6926905Z * [new tag] trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35 -> trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35 2025-08-14T21:24:10.6928968Z * [new tag] trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4 -> trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4 2025-08-14T21:24:10.6929481Z * [new tag] trunk/db763b17175553ba09637362eb9773a91997a7ad -> trunk/db763b17175553ba09637362eb9773a91997a7ad 2025-08-14T21:24:10.6929920Z * [new tag] trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f -> trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f 2025-08-14T21:24:10.6930217Z * [new tag] trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd -> trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd 2025-08-14T21:24:10.6930535Z * [new tag] trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8 -> trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8 2025-08-14T21:24:10.6931182Z * [new tag] trunk/deea71a90e05eb320c04bebfead5317746637f0d -> trunk/deea71a90e05eb320c04bebfead5317746637f0d 2025-08-14T21:24:10.6931860Z * [new tag] trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948 -> trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948 2025-08-14T21:24:10.6932359Z * [new tag] trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df -> trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df 2025-08-14T21:24:10.6935219Z * [new tag] trunk/e248719ac03c103767ab72034f6b9fd56855bf98 -> trunk/e248719ac03c103767ab72034f6b9fd56855bf98 2025-08-14T21:24:10.6935704Z * [new tag] trunk/e49762026070f66be41bfa6537fbcf9bfc24e558 -> trunk/e49762026070f66be41bfa6537fbcf9bfc24e558 2025-08-14T21:24:10.6936237Z * [new tag] trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168 -> trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168 2025-08-14T21:24:10.6936524Z * [new tag] trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f -> trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f 2025-08-14T21:24:10.6937270Z * [new tag] trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58 -> trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58 2025-08-14T21:24:10.6937578Z * [new tag] trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3 -> trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3 2025-08-14T21:24:10.6937853Z * [new tag] trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a -> trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a 2025-08-14T21:24:10.6938115Z * [new tag] trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c -> trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c 2025-08-14T21:24:10.6938551Z * [new tag] trunk/eac2d9d695a32dd456050f45cac35134ec3809f4 -> trunk/eac2d9d695a32dd456050f45cac35134ec3809f4 2025-08-14T21:24:10.6938824Z * [new tag] trunk/ecde76c764752540edf9ef62a97936c86d984b17 -> trunk/ecde76c764752540edf9ef62a97936c86d984b17 2025-08-14T21:24:10.6939368Z * [new tag] trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b -> trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b 2025-08-14T21:24:10.6940080Z * [new tag] trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb -> trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb 2025-08-14T21:24:10.6940657Z * [new tag] trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2 -> trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2 2025-08-14T21:24:10.6941345Z * [new tag] trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e -> trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e 2025-08-14T21:24:10.6942604Z * [new tag] trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c -> trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c 2025-08-14T21:24:10.6943048Z * [new tag] trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c -> trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c 2025-08-14T21:24:10.6943643Z * [new tag] trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76 -> trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76 2025-08-14T21:24:10.6944242Z * [new tag] trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94 -> trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94 2025-08-14T21:24:10.6945314Z * [new tag] trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35 -> trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35 2025-08-14T21:24:10.6945990Z * [new tag] trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640 -> trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640 2025-08-14T21:24:10.6946326Z * [new tag] trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5 -> trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5 2025-08-14T21:24:10.6946857Z * [new tag] trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc -> trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc 2025-08-14T21:24:10.6947464Z * [new tag] trunk/f341077ce4710172da20cfad916ee37159bfe9fe -> trunk/f341077ce4710172da20cfad916ee37159bfe9fe 2025-08-14T21:24:10.6949044Z * [new tag] trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7 -> trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7 2025-08-14T21:24:10.6949348Z * [new tag] trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c -> trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c 2025-08-14T21:24:10.6949612Z * [new tag] trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457 -> trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457 2025-08-14T21:24:10.6950229Z * [new tag] trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344 -> trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344 2025-08-14T21:24:10.6950902Z * [new tag] trunk/f8f0414a5983ff481a2188e0c18594150430c8c5 -> trunk/f8f0414a5983ff481a2188e0c18594150430c8c5 2025-08-14T21:24:10.6951455Z * [new tag] trunk/f95b58c2844b3444cd8446fed8570729dc4216eb -> trunk/f95b58c2844b3444cd8446fed8570729dc4216eb 2025-08-14T21:24:10.6952129Z * [new tag] trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d -> trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d 2025-08-14T21:24:10.6952721Z * [new tag] trunk/fb887c3bb588cfe782615e67f6c26db636b8539b -> trunk/fb887c3bb588cfe782615e67f6c26db636b8539b 2025-08-14T21:24:10.6957044Z * [new tag] trunk/fc25c68f20f772290927a7031b998b92615259cf -> trunk/fc25c68f20f772290927a7031b998b92615259cf 2025-08-14T21:24:10.6957327Z * [new tag] trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb -> trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb 2025-08-14T21:24:10.6957592Z * [new tag] trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb -> trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb 2025-08-14T21:24:10.6957863Z * [new tag] trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08 -> trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08 2025-08-14T21:24:10.6958131Z * [new tag] trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab -> trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab 2025-08-14T21:24:10.6958378Z * [new tag] trunk/ff0d56d03592aa03f3ced8359241d21df1783393 -> trunk/ff0d56d03592aa03f3ced8359241d21df1783393 2025-08-14T21:24:10.6958501Z * [new tag] v0.1.1 -> v0.1.1 2025-08-14T21:24:10.6958628Z * [new tag] v0.1.10 -> v0.1.10 2025-08-14T21:24:10.6958776Z * [new tag] v0.1.11 -> v0.1.11 2025-08-14T21:24:10.6959523Z * [new tag] v0.1.12 -> v0.1.12 2025-08-14T21:24:10.6959889Z * [new tag] v0.1.2 -> v0.1.2 2025-08-14T21:24:10.6960823Z * [new tag] v0.1.3 -> v0.1.3 2025-08-14T21:24:10.6961316Z * [new tag] v0.1.4 -> v0.1.4 2025-08-14T21:24:10.6961623Z * [new tag] v0.1.5 -> v0.1.5 2025-08-14T21:24:10.6962294Z * [new tag] v0.1.6 -> v0.1.6 2025-08-14T21:24:10.6962615Z * [new tag] v0.1.7 -> v0.1.7 2025-08-14T21:24:10.6965132Z * [new tag] v0.1.8 -> v0.1.8 2025-08-14T21:24:10.6965511Z * [new tag] v0.1.9 -> v0.1.9 2025-08-14T21:24:10.6965845Z * [new tag] v0.2.0 -> v0.2.0 2025-08-14T21:24:10.6965966Z * [new tag] v0.3.0 -> v0.3.0 2025-08-14T21:24:10.6966062Z * [new tag] v0.3.1 -> v0.3.1 2025-08-14T21:24:10.6966263Z * [new tag] v0.4.0 -> v0.4.0 2025-08-14T21:24:10.6966792Z * [new tag] v0.4.1 -> v0.4.1 2025-08-14T21:24:10.6967324Z * [new tag] v1.0.0 -> v1.0.0 2025-08-14T21:24:10.6968171Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-08-14T21:24:10.6968412Z * [new tag] v1.0.1 -> v1.0.1 2025-08-14T21:24:10.6969284Z * [new tag] v1.0rc0 -> v1.0rc0 2025-08-14T21:24:10.6969404Z * [new tag] v1.0rc1 -> v1.0rc1 2025-08-14T21:24:10.6972490Z * [new tag] v1.1.0 -> v1.1.0 2025-08-14T21:24:10.6972649Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-08-14T21:24:10.6972763Z * [new tag] v1.10.0 -> v1.10.0 2025-08-14T21:24:10.6972880Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-08-14T21:24:10.6973002Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-08-14T21:24:10.6973346Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-08-14T21:24:10.6973875Z * [new tag] v1.10.1 -> v1.10.1 2025-08-14T21:24:10.6974330Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-08-14T21:24:10.6974772Z * [new tag] v1.10.2 -> v1.10.2 2025-08-14T21:24:10.6975189Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-08-14T21:24:10.6976050Z * [new tag] v1.11.0 -> v1.11.0 2025-08-14T21:24:10.6976452Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-08-14T21:24:10.6979178Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-08-14T21:24:10.6979331Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-08-14T21:24:10.6979440Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-08-14T21:24:10.6979545Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-08-14T21:24:10.6979957Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-08-14T21:24:10.6980268Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-08-14T21:24:10.6981230Z * [new tag] v1.12.0 -> v1.12.0 2025-08-14T21:24:10.6984030Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-08-14T21:24:10.6984610Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-08-14T21:24:10.6984737Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-08-14T21:24:10.6984852Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-08-14T21:24:10.6984955Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-08-14T21:24:10.6985062Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-08-14T21:24:10.6985163Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-08-14T21:24:10.6988966Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-08-14T21:24:10.6989260Z * [new tag] v1.12.1 -> v1.12.1 2025-08-14T21:24:10.6994419Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-08-14T21:24:10.6997817Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-08-14T21:24:10.6998262Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-08-14T21:24:10.6998416Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-08-14T21:24:10.6998519Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-08-14T21:24:10.6998633Z * [new tag] v1.13.0 -> v1.13.0 2025-08-14T21:24:10.6998735Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-08-14T21:24:10.6998833Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-08-14T21:24:10.6998953Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-08-14T21:24:10.6999056Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-08-14T21:24:10.6999162Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-08-14T21:24:10.6999261Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-08-14T21:24:10.6999356Z * [new tag] v1.13.1 -> v1.13.1 2025-08-14T21:24:10.6999462Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-08-14T21:24:10.6999574Z * [new tag] v1.2.0 -> v1.2.0 2025-08-14T21:24:10.6999681Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-08-14T21:24:10.6999789Z * [new tag] v1.3.0 -> v1.3.0 2025-08-14T21:24:10.6999890Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-08-14T21:24:10.6999991Z * [new tag] v1.3.1 -> v1.3.1 2025-08-14T21:24:10.7000087Z * [new tag] v1.4.0 -> v1.4.0 2025-08-14T21:24:10.7000371Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-08-14T21:24:10.7000477Z * [new tag] v1.4.1 -> v1.4.1 2025-08-14T21:24:10.7001978Z * [new tag] v1.5.0 -> v1.5.0 2025-08-14T21:24:10.7002130Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-08-14T21:24:10.7002236Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-08-14T21:24:10.7002336Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-08-14T21:24:10.7002546Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-08-14T21:24:10.7002756Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-08-14T21:24:10.7002883Z * [new tag] v1.5.1 -> v1.5.1 2025-08-14T21:24:10.7005678Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-08-14T21:24:10.7005796Z * [new tag] v1.6.0 -> v1.6.0 2025-08-14T21:24:10.7005920Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-08-14T21:24:10.7006018Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-08-14T21:24:10.7006180Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-08-14T21:24:10.7006290Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-08-14T21:24:10.7011670Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-08-14T21:24:10.7017882Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-08-14T21:24:10.7019851Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-08-14T21:24:10.7019972Z * [new tag] v1.7.0 -> v1.7.0 2025-08-14T21:24:10.7020230Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-08-14T21:24:10.7020368Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-08-14T21:24:10.7020475Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-08-14T21:24:10.7020575Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-08-14T21:24:10.7020677Z * [new tag] v1.7.1 -> v1.7.1 2025-08-14T21:24:10.7020788Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-08-14T21:24:10.7020887Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-08-14T21:24:10.7020987Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-08-14T21:24:10.7021093Z * [new tag] v1.8.0 -> v1.8.0 2025-08-14T21:24:10.7021193Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-08-14T21:24:10.7021299Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-08-14T21:24:10.7021401Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-08-14T21:24:10.7021505Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-08-14T21:24:10.7021611Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-08-14T21:24:10.7021709Z * [new tag] v1.8.1 -> v1.8.1 2025-08-14T21:24:10.7021807Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-08-14T21:24:10.7021913Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-08-14T21:24:10.7022011Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-08-14T21:24:10.7022115Z * [new tag] v1.8.2 -> v1.8.2 2025-08-14T21:24:10.7022213Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-08-14T21:24:10.7022310Z * [new tag] v1.9.0 -> v1.9.0 2025-08-14T21:24:10.7022427Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-08-14T21:24:10.7022573Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-08-14T21:24:10.7022680Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-08-14T21:24:10.7022785Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-08-14T21:24:10.7023763Z * [new tag] v1.9.1 -> v1.9.1 2025-08-14T21:24:10.7023960Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-08-14T21:24:10.7026346Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-08-14T21:24:10.7026620Z * [new tag] v2.0.0 -> v2.0.0 2025-08-14T21:24:10.7026823Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-08-14T21:24:10.7026956Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-08-14T21:24:10.7029676Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-08-14T21:24:10.7029977Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-08-14T21:24:10.7030200Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-08-14T21:24:10.7030304Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-08-14T21:24:10.7030541Z * [new tag] v2.0.1 -> v2.0.1 2025-08-14T21:24:10.7031209Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-08-14T21:24:10.7031471Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-08-14T21:24:10.7031595Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-08-14T21:24:10.7033772Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-08-14T21:24:10.7034061Z * [new tag] v2.1.0 -> v2.1.0 2025-08-14T21:24:10.7034326Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-08-14T21:24:10.7034668Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-08-14T21:24:10.7035086Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-08-14T21:24:10.7036556Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-08-14T21:24:10.7036701Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-08-14T21:24:10.7037247Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-08-14T21:24:10.7039063Z * [new tag] v2.1.1 -> v2.1.1 2025-08-14T21:24:10.7039276Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-08-14T21:24:10.7039413Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-08-14T21:24:10.7039535Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-08-14T21:24:10.7040042Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-08-14T21:24:10.7042134Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-08-14T21:24:10.7042423Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-08-14T21:24:10.7042663Z * [new tag] v2.1.2 -> v2.1.2 2025-08-14T21:24:10.7042789Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-08-14T21:24:10.7042952Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-08-14T21:24:10.7044545Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-08-14T21:24:10.7044848Z * [new tag] v2.2.0 -> v2.2.0 2025-08-14T21:24:10.7045067Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-08-14T21:24:10.7045275Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-08-14T21:24:10.7046194Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-08-14T21:24:10.7046338Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-08-14T21:24:10.7049505Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-08-14T21:24:10.7049723Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-08-14T21:24:10.7049858Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-08-14T21:24:10.7049959Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-08-14T21:24:10.7050189Z * [new tag] v2.2.1 -> v2.2.1 2025-08-14T21:24:10.7050380Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-08-14T21:24:10.7050480Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-08-14T21:24:10.7050606Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-08-14T21:24:10.7051106Z * [new tag] v2.2.2 -> v2.2.2 2025-08-14T21:24:10.7051998Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-08-14T21:24:10.7052116Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-08-14T21:24:10.7055247Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-08-14T21:24:10.7055537Z * [new tag] v2.3.0 -> v2.3.0 2025-08-14T21:24:10.7055709Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-08-14T21:24:10.7055825Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-08-14T21:24:10.7056077Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-08-14T21:24:10.7056268Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-08-14T21:24:10.7056392Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-08-14T21:24:10.7056698Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-08-14T21:24:10.7057481Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-08-14T21:24:10.7058364Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-08-14T21:24:10.7058598Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-08-14T21:24:10.7059050Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-08-14T21:24:10.7060431Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-08-14T21:24:10.7060574Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-08-14T21:24:10.7060697Z * [new tag] v2.3.1 -> v2.3.1 2025-08-14T21:24:10.7061859Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-08-14T21:24:10.7062109Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-08-14T21:24:10.7063085Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-08-14T21:24:10.7063502Z * [new tag] v2.4.0 -> v2.4.0 2025-08-14T21:24:10.7065969Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-08-14T21:24:10.7073158Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-08-14T21:24:10.7075576Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-08-14T21:24:10.7080710Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-08-14T21:24:10.7082707Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-08-14T21:24:10.7082977Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-08-14T21:24:10.7083235Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-08-14T21:24:10.7083387Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-08-14T21:24:10.7083488Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-08-14T21:24:10.7083597Z * [new tag] v2.4.1 -> v2.4.1 2025-08-14T21:24:10.7083724Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-08-14T21:24:10.7084051Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-08-14T21:24:10.7084159Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-08-14T21:24:10.7084258Z * [new tag] v2.5.0 -> v2.5.0 2025-08-14T21:24:10.7084359Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-08-14T21:24:10.7084479Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-08-14T21:24:10.7084579Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-08-14T21:24:10.7084684Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-08-14T21:24:10.7084782Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-08-14T21:24:10.7084879Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-08-14T21:24:10.7084986Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-08-14T21:24:10.7085090Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-08-14T21:24:10.7085191Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-08-14T21:24:10.7085296Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-08-14T21:24:10.7085393Z * [new tag] v2.5.1 -> v2.5.1 2025-08-14T21:24:10.7085496Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-08-14T21:24:10.7085593Z * [new tag] v2.6.0 -> v2.6.0 2025-08-14T21:24:10.7088093Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-08-14T21:24:10.7088237Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-08-14T21:24:10.7088335Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-08-14T21:24:10.7088442Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-08-14T21:24:10.7088804Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-08-14T21:24:10.7095285Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-08-14T21:24:10.7100261Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-08-14T21:24:10.7100433Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-08-14T21:24:10.7100540Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-08-14T21:24:10.7100652Z * [new tag] v2.7.0 -> v2.7.0 2025-08-14T21:24:10.7100767Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-08-14T21:24:10.7100879Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-08-14T21:24:10.7100992Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-08-14T21:24:10.7101091Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-08-14T21:24:10.7101224Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-08-14T21:24:10.7101341Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-08-14T21:24:10.7101439Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-08-14T21:24:10.7101546Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-08-14T21:24:10.7101647Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-08-14T21:24:10.7101746Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-08-14T21:24:10.7101853Z * [new tag] v2.7.1 -> v2.7.1 2025-08-14T21:24:10.7101953Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-08-14T21:24:10.7102052Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-08-14T21:24:10.7102158Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-08-14T21:24:10.7102259Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-08-14T21:24:10.7102365Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-08-14T21:24:10.7102616Z * [new tag] v2.8.0 -> v2.8.0 2025-08-14T21:24:10.7102715Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-08-14T21:24:10.7102829Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-08-14T21:24:10.7102929Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-08-14T21:24:10.7103078Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-08-14T21:24:10.7103953Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-08-14T21:24:10.7104326Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-08-14T21:24:10.7105315Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-08-14T21:24:10.7105687Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-08-14T21:24:10.7106948Z * [new tag] whc_flight_1 -> whc_flight_1 2025-08-14T21:24:10.7107071Z * [new tag] whc_flight_2 -> whc_flight_2 2025-08-14T21:24:10.7107953Z * [new tag] whc_flight_4 -> whc_flight_4 2025-08-14T21:24:10.7591938Z [command]/usr/bin/git rev-parse --verify --quiet 1fc683cf17c8c673044538d10266c00f92987be2^{object} 2025-08-14T21:24:10.7621360Z 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:24:10.7625090Z ##[endgroup] 2025-08-14T21:24:10.7625439Z ##[group]Determining the checkout info 2025-08-14T21:24:10.7625860Z ##[endgroup] 2025-08-14T21:24:10.7633058Z [command]/usr/bin/git sparse-checkout disable 2025-08-14T21:24:10.7669482Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-08-14T21:24:10.7695660Z ##[group]Checking out the ref 2025-08-14T21:24:10.7698889Z [command]/usr/bin/git checkout --progress --force 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:24:11.8039074Z Note: switching to '1fc683cf17c8c673044538d10266c00f92987be2'. 2025-08-14T21:24:11.8044749Z 2025-08-14T21:24:11.8046737Z You are in 'detached HEAD' state. You can look around, make experimental 2025-08-14T21:24:11.8047242Z changes and commit them, and you can discard any commits you make in this 2025-08-14T21:24:11.8047732Z state without impacting any branches by switching back to a branch. 2025-08-14T21:24:11.8048056Z 2025-08-14T21:24:11.8048313Z If you want to create a new branch to retain commits you create, you may 2025-08-14T21:24:11.8048764Z do so (now or later) by using -c with the switch command. Example: 2025-08-14T21:24:11.8049078Z 2025-08-14T21:24:11.8049326Z git switch -c 2025-08-14T21:24:11.8049466Z 2025-08-14T21:24:11.8049563Z Or undo this operation with: 2025-08-14T21:24:11.8049701Z 2025-08-14T21:24:11.8049774Z git switch - 2025-08-14T21:24:11.8049878Z 2025-08-14T21:24:11.8050040Z Turn off this advice by setting config variable advice.detachedHead to false 2025-08-14T21:24:11.8050296Z 2025-08-14T21:24:11.8050557Z HEAD is now at 1fc683cf17c [Inductor] Allow indexing a flexible layout for extract_input_node_reduction_ranges (#160645) 2025-08-14T21:24:11.8086806Z ##[endgroup] 2025-08-14T21:24:11.8087139Z ##[group]Setting up auth for fetching submodules 2025-08-14T21:24:11.8095877Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-08-14T21:24:11.8157270Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-08-14T21:24:11.8187322Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-08-14T21:24:11.8220213Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-08-14T21:24:11.8245496Z ##[endgroup] 2025-08-14T21:24:11.8245948Z ##[group]Fetching submodules 2025-08-14T21:24:11.8253579Z [command]/usr/bin/git submodule sync --recursive 2025-08-14T21:24:11.8586192Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-08-14T21:24:11.9167813Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-08-14T21:24:11.9168584Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-08-14T21:24:11.9169268Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-08-14T21:24:11.9173171Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-08-14T21:24:11.9174940Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-08-14T21:24:11.9176954Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-08-14T21:24:11.9180214Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-08-14T21:24:11.9190532Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-08-14T21:24:11.9191795Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-08-14T21:24:11.9192626Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-08-14T21:24:11.9206451Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-08-14T21:24:11.9208549Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-08-14T21:24:11.9209497Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-08-14T21:24:11.9210093Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-08-14T21:24:11.9219691Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-08-14T21:24:11.9220386Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-08-14T21:24:11.9222171Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-08-14T21:24:11.9237635Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-08-14T21:24:11.9238467Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:24:11.9239225Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-08-14T21:24:11.9245153Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-08-14T21:24:11.9258234Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-08-14T21:24:11.9258931Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-08-14T21:24:11.9261303Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-08-14T21:24:11.9268692Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-08-14T21:24:11.9272095Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-08-14T21:24:11.9274446Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-08-14T21:24:11.9277296Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-08-14T21:24:11.9290902Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-08-14T21:24:11.9291820Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-08-14T21:24:11.9297005Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-08-14T21:24:11.9304748Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-08-14T21:24:11.9309898Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-08-14T21:24:11.9314102Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-08-14T21:24:11.9317393Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-08-14T21:24:11.9328585Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-08-14T21:24:11.9331271Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-08-14T21:24:11.9364781Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-08-14T21:24:12.1590037Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-08-14T21:24:12.1590563Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-08-14T21:24:12.1591023Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-08-14T21:24:12.1620037Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-08-14T21:24:12.3575602Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-08-14T21:24:12.3576145Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-08-14T21:24:12.3576612Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-08-14T21:24:12.3577101Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-08-14T21:24:12.3577588Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-08-14T21:24:12.4001148Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-08-14T21:24:13.3940032Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-08-14T21:24:13.3940613Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-08-14T21:24:13.3941115Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-08-14T21:24:13.3941576Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-08-14T21:24:13.3942062Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-08-14T21:24:13.3942559Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-08-14T21:24:13.3943042Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-08-14T21:24:13.3943510Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-08-14T21:24:13.3943955Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-08-14T21:24:13.3944684Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-08-14T21:24:13.3945152Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-08-14T21:24:13.3945759Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-08-14T21:24:13.3946197Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-08-14T21:24:13.4941960Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-08-14T21:24:13.6274218Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-08-14T21:24:13.6274992Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-08-14T21:24:13.7170131Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-08-14T21:24:25.5191514Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-08-14T21:24:25.5197069Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-08-14T21:24:25.5199006Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-08-14T21:24:25.5199631Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-08-14T21:24:25.5204540Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-08-14T21:24:25.5206274Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-08-14T21:24:25.5206943Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-08-14T21:24:25.5210470Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-08-14T21:24:25.5215609Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-08-14T21:24:25.5320557Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-08-14T21:24:25.5430314Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-08-14T21:24:25.5518043Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-08-14T21:24:25.5718599Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-08-14T21:24:25.6358985Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-08-14T21:24:25.6767996Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-08-14T21:24:26.1915894Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-08-14T21:24:26.3137559Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-08-14T21:24:26.3157018Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:24:26.3186182Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-08-14T21:24:29.6763446Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-08-14T21:24:29.6975474Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-08-14T21:24:29.9371859Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-08-14T21:24:29.9816944Z Submodule path 'third_party/cpp-httplib': checked out '3af7f2c16147f3fbc6e4d717032daf505dc1652c' 2025-08-14T21:24:30.0677951Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-08-14T21:24:30.1069288Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-08-14T21:24:30.6295768Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-08-14T21:24:30.7417724Z Submodule path 'third_party/fbgemm': checked out '21c7d30c526c0f1ad873ecc632dca6cfa8a69067' 2025-08-14T21:24:30.7436790Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-08-14T21:24:30.7437732Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:24:30.7444194Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:24:30.7448834Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-08-14T21:24:30.7453342Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-08-14T21:24:30.7455500Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:24:30.7456143Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-08-14T21:24:30.7475160Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-08-14T21:24:32.0004201Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-08-14T21:24:32.0009093Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-08-14T21:24:32.0011614Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-08-14T21:24:32.0012387Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-08-14T21:24:32.1003267Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-08-14T21:24:33.0876113Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-08-14T21:24:37.1580717Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-08-14T21:24:37.3627434Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-08-14T21:24:37.4551816Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-08-14T21:24:37.9777797Z Submodule path 'third_party/fbgemm/external/cutlass': checked out 'b40777404c174b9694a870bff5c13ce6b7f656ad' 2025-08-14T21:24:38.0186189Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-14T21:24:38.0304799Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out 'a4337c69fe0e2552a7b7b0669178926beeed828c' 2025-08-14T21:24:38.1198657Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-08-14T21:24:38.1804624Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-08-14T21:24:38.1825252Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:24:38.1825987Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:24:38.1854550Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-08-14T21:24:41.3537613Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-08-14T21:24:41.5350987Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-08-14T21:24:42.0067906Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-08-14T21:24:42.1167980Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-08-14T21:24:42.1477235Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-08-14T21:24:42.1825068Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-08-14T21:24:42.2055138Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-08-14T21:24:42.2463208Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-14T21:24:42.2596692Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-08-14T21:24:42.2611267Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-08-14T21:24:42.2639154Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-08-14T21:24:53.6566591Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-08-14T21:24:53.6740147Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-08-14T21:24:53.7585016Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-08-14T21:24:53.7603494Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:24:53.7604255Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:24:53.7610180Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:24:53.7639745Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-08-14T21:24:54.3856901Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-08-14T21:24:55.0077532Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-08-14T21:24:55.0769977Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-08-14T21:24:55.0782678Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:24:55.0783385Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:24:55.0784912Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:24:55.0788423Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:24:55.0789262Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:24:55.0798118Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:24:55.0799082Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:24:55.0799814Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:24:55.0825231Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-08-14T21:24:56.2268447Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-08-14T21:24:56.2269226Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-08-14T21:24:56.2269927Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-08-14T21:24:56.2270622Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-08-14T21:24:56.2271364Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-08-14T21:24:56.3273868Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-08-14T21:24:56.5151815Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-08-14T21:25:01.5506666Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-08-14T21:25:01.5660788Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-08-14T21:25:01.5973335Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-08-14T21:25:01.6099478Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-08-14T21:25:01.6116748Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:25:01.6139547Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-08-14T21:25:01.9683240Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-08-14T21:25:01.9849584Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-08-14T21:25:02.0198833Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-08-14T21:25:02.1031979Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-08-14T21:25:02.1181884Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-08-14T21:25:02.1488421Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-08-14T21:25:02.2016664Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-08-14T21:25:02.2425408Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-08-14T21:25:02.2767222Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-08-14T21:25:02.3743549Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-08-14T21:25:02.6596431Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-08-14T21:25:02.6629993Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-08-14T21:25:02.6651662Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-08-14T21:25:04.2939417Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-08-14T21:25:04.3452743Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-08-14T21:25:04.3469932Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:25:04.3474276Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:25:04.3477311Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:25:04.3477993Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:25:04.3478902Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:25:04.3479762Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:25:04.3480576Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:25:04.3481227Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:25:04.3506151Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-08-14T21:25:04.7735506Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-08-14T21:25:04.7736262Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-08-14T21:25:04.7736926Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-08-14T21:25:04.7737565Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-08-14T21:25:04.8742388Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-08-14T21:25:05.4227524Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-08-14T21:25:12.4276854Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-08-14T21:25:12.9570997Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-08-14T21:25:12.9954467Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-08-14T21:25:13.0120247Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-08-14T21:25:13.1060292Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-08-14T21:25:13.1194370Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-08-14T21:25:13.1338452Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-08-14T21:25:13.1476662Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-08-14T21:25:13.1488023Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:25:13.1493828Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:25:13.1517305Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-08-14T21:25:14.9897822Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'... 2025-08-14T21:25:15.2030974Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-08-14T21:25:15.2434192Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-08-14T21:25:15.5816691Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-08-14T21:25:15.5931802Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-08-14T21:25:15.8184674Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a' 2025-08-14T21:25:15.8206010Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:25:15.8211204Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest' 2025-08-14T21:25:15.8236252Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'... 2025-08-14T21:25:16.3762336Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'... 2025-08-14T21:25:16.7865317Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8' 2025-08-14T21:25:16.8475807Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081' 2025-08-14T21:25:16.8568351Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900' 2025-08-14T21:25:16.8679018Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8' 2025-08-14T21:25:16.8993478Z Submodule path 'third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-08-14T21:25:16.9226819Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67' 2025-08-14T21:25:16.9590860Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68' 2025-08-14T21:25:16.9816158Z Submodule path 'third_party/tensorpipe': checked out 'dacda0567d9f23d4bc503e1c4f84aa65f33ac38a' 2025-08-14T21:25:16.9829026Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:25:16.9829787Z Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:25:16.9830488Z Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:25:16.9831575Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:25:16.9862221Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/googletest'... 2025-08-14T21:25:17.9501379Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libnop'... 2025-08-14T21:25:17.9604448Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libuv'... 2025-08-14T21:25:18.1463595Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11'... 2025-08-14T21:25:18.1963073Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' 2025-08-14T21:25:18.2101687Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281' 2025-08-14T21:25:18.2739869Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b' 2025-08-14T21:25:18.3014320Z Submodule 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'third_party/XNNPACK' 2025-08-14T21:25:20.0702433Z Entering 'third_party/aiter' 2025-08-14T21:25:20.0742006Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:25:20.0790218Z Entering 'third_party/benchmark' 2025-08-14T21:25:20.0829276Z Entering 'third_party/composable_kernel' 2025-08-14T21:25:20.0874423Z Entering 'third_party/cpp-httplib' 2025-08-14T21:25:20.0916120Z Entering 'third_party/cpuinfo' 2025-08-14T21:25:20.0958941Z Entering 'third_party/cudnn_frontend' 2025-08-14T21:25:20.0999746Z Entering 'third_party/cutlass' 2025-08-14T21:25:20.1046434Z Entering 'third_party/fbgemm' 2025-08-14T21:25:20.1084907Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T21:25:20.1126582Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:25:20.1167791Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:25:20.1219302Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T21:25:20.1263318Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T21:25:20.1309499Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:25:20.1345243Z Entering 'third_party/fbgemm/external/json' 2025-08-14T21:25:20.1388369Z Entering 'third_party/flash-attention' 2025-08-14T21:25:20.1428242Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:25:20.1470396Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:25:20.1519182Z Entering 'third_party/flatbuffers' 2025-08-14T21:25:20.1559089Z Entering 'third_party/fmt' 2025-08-14T21:25:20.1606720Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:25:20.1646642Z Entering 'third_party/gloo' 2025-08-14T21:25:20.1692375Z Entering 'third_party/googletest' 2025-08-14T21:25:20.1734382Z Entering 'third_party/ideep' 2025-08-14T21:25:20.1770547Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T21:25:20.1821347Z Entering 'third_party/ittapi' 2025-08-14T21:25:20.1864443Z Entering 'third_party/kineto' 2025-08-14T21:25:20.1902329Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:25:20.1965334Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:25:20.2007474Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:25:20.2048299Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:25:20.2078636Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:25:20.2116963Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:25:20.2160262Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:25:20.2203659Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:25:20.2240450Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:25:20.2280259Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:25:20.2325969Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:25:20.2365547Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:25:20.2410400Z Entering 'third_party/kleidiai' 2025-08-14T21:25:20.2451404Z Entering 'third_party/mimalloc' 2025-08-14T21:25:20.2490227Z Entering 'third_party/nlohmann' 2025-08-14T21:25:20.2531750Z Entering 'third_party/onnx' 2025-08-14T21:25:20.2591099Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T21:25:20.2630218Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T21:25:20.2670255Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:25:20.2710418Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:25:20.2750181Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:25:20.2788609Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:25:20.2834999Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:25:20.2869614Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:25:20.2914607Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:25:20.2949482Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:25:20.2988573Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:25:20.3030616Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:25:20.3083623Z Entering 'third_party/pocketfft' 2025-08-14T21:25:20.3120002Z Entering 'third_party/protobuf' 2025-08-14T21:25:20.3161279Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:25:20.3200750Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T21:25:20.3245156Z Entering 'third_party/psimd' 2025-08-14T21:25:20.3285842Z Entering 'third_party/pthreadpool' 2025-08-14T21:25:20.3326643Z Entering 'third_party/pybind11' 2025-08-14T21:25:20.3366113Z Entering 'third_party/python-peachpy' 2025-08-14T21:25:20.3407766Z Entering 'third_party/sleef' 2025-08-14T21:25:20.3449382Z Entering 'third_party/tensorpipe' 2025-08-14T21:25:20.3491030Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:25:20.3533510Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:25:20.3568450Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:25:20.3610983Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:25:20.3653479Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:25:20.3716936Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-08-14T21:25:20.4022728Z Entering 'android/libs/fbjni' 2025-08-14T21:25:20.4063854Z Entering 'third_party/FP16' 2025-08-14T21:25:20.4105514Z Entering 'third_party/FXdiv' 2025-08-14T21:25:20.4141027Z Entering 'third_party/NNPACK' 2025-08-14T21:25:20.4177890Z Entering 'third_party/NVTX' 2025-08-14T21:25:20.4221396Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T21:25:20.4257924Z Entering 'third_party/XNNPACK' 2025-08-14T21:25:20.4315989Z Entering 'third_party/aiter' 2025-08-14T21:25:20.4353369Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:25:20.4407214Z Entering 'third_party/benchmark' 2025-08-14T21:25:20.4448460Z Entering 'third_party/composable_kernel' 2025-08-14T21:25:20.4490718Z Entering 'third_party/cpp-httplib' 2025-08-14T21:25:20.4531733Z Entering 'third_party/cpuinfo' 2025-08-14T21:25:20.4566291Z Entering 'third_party/cudnn_frontend' 2025-08-14T21:25:20.4609896Z Entering 'third_party/cutlass' 2025-08-14T21:25:20.4658674Z Entering 'third_party/fbgemm' 2025-08-14T21:25:20.4698343Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T21:25:20.4742542Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:25:20.4779417Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:25:20.4821168Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T21:25:20.4866223Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T21:25:20.4906616Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:25:20.4951228Z Entering 'third_party/fbgemm/external/json' 2025-08-14T21:25:20.4993391Z Entering 'third_party/flash-attention' 2025-08-14T21:25:20.5036103Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:25:20.5073469Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:25:20.5119885Z Entering 'third_party/flatbuffers' 2025-08-14T21:25:20.5160701Z Entering 'third_party/fmt' 2025-08-14T21:25:20.5202267Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:25:20.5237866Z Entering 'third_party/gloo' 2025-08-14T21:25:20.5275784Z Entering 'third_party/googletest' 2025-08-14T21:25:20.5323286Z Entering 'third_party/ideep' 2025-08-14T21:25:20.5357029Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T21:25:20.5405330Z Entering 'third_party/ittapi' 2025-08-14T21:25:20.5443424Z Entering 'third_party/kineto' 2025-08-14T21:25:20.5479660Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:25:20.5519499Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:25:20.5558917Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:25:20.5592874Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:25:20.5632850Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:25:20.5666660Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:25:20.5717305Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:25:20.5760379Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:25:20.5796238Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:25:20.5835682Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:25:20.5875509Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:25:20.5918994Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:25:20.5960120Z Entering 'third_party/kleidiai' 2025-08-14T21:25:20.5999189Z Entering 'third_party/mimalloc' 2025-08-14T21:25:20.6032880Z Entering 'third_party/nlohmann' 2025-08-14T21:25:20.6072230Z Entering 'third_party/onnx' 2025-08-14T21:25:20.6125928Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T21:25:20.6169586Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T21:25:20.6206735Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:25:20.6246320Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:25:20.6283718Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:25:20.6324329Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:25:20.6362085Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:25:20.6397813Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:25:20.6437781Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:25:20.6473542Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:25:20.6524782Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:25:20.6567915Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:25:20.6620204Z Entering 'third_party/pocketfft' 2025-08-14T21:25:20.6665190Z Entering 'third_party/protobuf' 2025-08-14T21:25:20.6710574Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:25:20.6748969Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T21:25:20.6790078Z Entering 'third_party/psimd' 2025-08-14T21:25:20.6834329Z Entering 'third_party/pthreadpool' 2025-08-14T21:25:20.6875463Z Entering 'third_party/pybind11' 2025-08-14T21:25:20.6920422Z Entering 'third_party/python-peachpy' 2025-08-14T21:25:20.6958958Z Entering 'third_party/sleef' 2025-08-14T21:25:20.6998733Z Entering 'third_party/tensorpipe' 2025-08-14T21:25:20.7041449Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:25:20.7079810Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:25:20.7120682Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:25:20.7162504Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:25:20.7203885Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:25:20.7260218Z ##[endgroup] 2025-08-14T21:25:20.7299934Z [command]/usr/bin/git log -1 --format=%H 2025-08-14T21:25:20.7321510Z 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:25:20.7487329Z Prepare all required actions 2025-08-14T21:25:20.7487857Z Getting action download info 2025-08-14T21:25:20.8847414Z ##[group]Run ./.github/actions/setup-linux 2025-08-14T21:25:20.8847640Z env: 2025-08-14T21:25:20.8847801Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:20.8847972Z ##[endgroup] 2025-08-14T21:25:20.8879384Z ##[group]Run set -euo pipefail 2025-08-14T21:25:20.8879641Z set -euo pipefail 2025-08-14T21:25:20.8879852Z function get_ec2_metadata() { 2025-08-14T21:25:20.8880094Z  # Pulled from instance metadata endpoint for EC2 2025-08-14T21:25:20.8880487Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-08-14T21:25:20.8880826Z  category=$1 2025-08-14T21:25:20.8881054Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-08-14T21:25:20.8881329Z  runner_name_str=i-0a572e829b0dd50b7 2025-08-14T21:25:20.8881607Z  if [[ -f /.inarc ]]; then 2025-08-14T21:25:20.8881828Z  echo "ARC Runner, no info on ec2 metadata" 2025-08-14T21:25:20.8882085Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-08-14T21:25:20.8882371Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-08-14T21:25:20.8882617Z  else 2025-08-14T21:25:20.8883131Z  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}" 2025-08-14T21:25:20.8883634Z  fi 2025-08-14T21:25:20.8883787Z } 2025-08-14T21:25:20.8883964Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-08-14T21:25:20.8884232Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-08-14T21:25:20.8884528Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-08-14T21:25:20.8884780Z echo "system info $(uname -a)" 2025-08-14T21:25:20.8891435Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:20.8891677Z env: 2025-08-14T21:25:20.8891829Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:20.8891995Z ##[endgroup] 2025-08-14T21:25:20.9032774Z ami-id: ami-05ffe3c48a9991133 2025-08-14T21:25:20.9135310Z instance-id: i-0a572e829b0dd50b7 2025-08-14T21:25:20.9224374Z instance-type: m7i-flex.8xlarge 2025-08-14T21:25:20.9237295Z system info Linux ip-10-0-31-34.ec2.internal 6.1.141-155.222.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 17 10:29:47 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-08-14T21:25:20.9253293Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:25:20.9253856Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:25:20.9258827Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:20.9259085Z env: 2025-08-14T21:25:20.9259248Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:20.9259542Z ##[endgroup] 2025-08-14T21:25:20.9312495Z ##[group]Run if systemctl is-active --quiet docker; then 2025-08-14T21:25:20.9312877Z if systemctl is-active --quiet docker; then 2025-08-14T21:25:20.9313131Z  echo "Docker daemon is running..."; 2025-08-14T21:25:20.9313339Z else 2025-08-14T21:25:20.9313578Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-08-14T21:25:20.9313840Z fi 2025-08-14T21:25:20.9318053Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:20.9318289Z env: 2025-08-14T21:25:20.9318443Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:20.9318611Z ##[endgroup] 2025-08-14T21:25:20.9390230Z Docker daemon is running... 2025-08-14T21:25:20.9417506Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-14T21:25:20.9417710Z with: 2025-08-14T21:25:20.9417858Z shell: bash 2025-08-14T21:25:20.9418124Z timeout_minutes: 5 2025-08-14T21:25:20.9418287Z max_attempts: 3 2025-08-14T21:25:20.9418464Z retry_wait_seconds: 30 2025-08-14T21:25:20.9419731Z command: AWS_ACCOUNT_ID=$(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 2025-08-14T21:25:20.9420959Z polling_interval_seconds: 1 2025-08-14T21:25:20.9421135Z warning_on_retry: true 2025-08-14T21:25:20.9421303Z continue_on_error: false 2025-08-14T21:25:20.9421473Z env: 2025-08-14T21:25:20.9421615Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:20.9421789Z AWS_RETRY_MODE: standard 2025-08-14T21:25:20.9421962Z AWS_MAX_ATTEMPTS: 5 2025-08-14T21:25:20.9422124Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:25:20.9422305Z ##[endgroup] 2025-08-14T21:25:21.8668113Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:25:21.8671351Z Configure a credential helper to remove this warning. See 2025-08-14T21:25:21.8671738Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:25:21.8672041Z 2025-08-14T21:25:21.8676869Z Login Succeeded 2025-08-14T21:25:22.0104321Z Command completed after 1 attempt(s). 2025-08-14T21:25:22.0172164Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:25:22.0172565Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:25:22.0172877Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:25:22.0180421Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:22.0180707Z env: 2025-08-14T21:25:22.0180889Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:22.0181083Z ##[endgroup] 2025-08-14T21:25:22.0256012Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:25:22.0256434Z # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:25:22.0256767Z # shellcheck disable=SC2046 2025-08-14T21:25:22.0257072Z docker stop $(docker ps -q) || true 2025-08-14T21:25:22.0257318Z # Prune all of the docker images 2025-08-14T21:25:22.0257562Z docker system prune -af 2025-08-14T21:25:22.0262236Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:22.0262492Z env: 2025-08-14T21:25:22.0262669Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:22.0262866Z ##[endgroup] 2025-08-14T21:25:22.0683085Z "docker stop" requires at least 1 argument. 2025-08-14T21:25:22.0683479Z See 'docker stop --help'. 2025-08-14T21:25:22.0683652Z 2025-08-14T21:25:22.0683794Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-08-14T21:25:22.0684338Z 2025-08-14T21:25:22.0684463Z Stop one or more running containers 2025-08-14T21:25:22.0861191Z Total reclaimed space: 0B 2025-08-14T21:25:22.0891525Z ##[group]Run set +e 2025-08-14T21:25:22.0891752Z set +e 2025-08-14T21:25:22.0891931Z set -x 2025-08-14T21:25:22.0892099Z  2025-08-14T21:25:22.0892278Z PT_DOMAIN=download.pytorch.org 2025-08-14T21:25:22.0892678Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-08-14T21:25:22.0893153Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-08-14T21:25:22.0893493Z # one is returned at random 2025-08-14T21:25:22.0893764Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-08-14T21:25:22.0894018Z  2025-08-14T21:25:22.0894306Z if [ -z "${RESOLVED_IP}" ]; then 2025-08-14T21:25:22.0894597Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-08-14T21:25:22.0894948Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-08-14T21:25:22.0895207Z  2025-08-14T21:25:22.0895384Z  if [ -z "${RESOLVED_IP}" ]; then 2025-08-14T21:25:22.0895642Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-08-14T21:25:22.0895891Z  exit 1 2025-08-14T21:25:22.0896065Z  fi 2025-08-14T21:25:22.0896220Z fi 2025-08-14T21:25:22.0896375Z  2025-08-14T21:25:22.0896564Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-08-14T21:25:22.0896809Z  # Clean up any old records first 2025-08-14T21:25:22.0897055Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-08-14T21:25:22.0897278Z fi 2025-08-14T21:25:22.0897431Z  2025-08-14T21:25:22.0897648Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-08-14T21:25:22.0897911Z cat /etc/hosts 2025-08-14T21:25:22.0903476Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:22.0903729Z env: 2025-08-14T21:25:22.0903901Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:22.0904329Z ##[endgroup] 2025-08-14T21:25:22.0929027Z + PT_DOMAIN=download.pytorch.org 2025-08-14T21:25:22.0935673Z ++ dig -4 +short download.pytorch.org 2025-08-14T21:25:22.0935946Z ++ tail -n1 2025-08-14T21:25:22.1358652Z + RESOLVED_IP=18.160.10.28 2025-08-14T21:25:22.1358947Z + '[' -z 18.160.10.28 ']' 2025-08-14T21:25:22.1362643Z + grep -r download.pytorch.org /etc/hosts 2025-08-14T21:25:22.1374171Z + echo '18.160.10.28 download.pytorch.org' 2025-08-14T21:25:22.1375028Z + sudo tee -a /etc/hosts 2025-08-14T21:25:22.4442996Z 18.160.10.28 download.pytorch.org 2025-08-14T21:25:22.4470699Z + cat /etc/hosts 2025-08-14T21:25:22.4482647Z 127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4 2025-08-14T21:25:22.4492655Z ::1 localhost6 localhost6.localdomain6 2025-08-14T21:25:22.4492965Z 18.160.10.28 download.pytorch.org 2025-08-14T21:25:22.4605723Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-08-14T21:25:22.4606025Z with: 2025-08-14T21:25:22.4606564Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:22.4607131Z use-custom-docker-registry: true 2025-08-14T21:25:22.4607364Z docker-build-dir: .ci/docker 2025-08-14T21:25:22.4607582Z docker-build-script: ./build.sh 2025-08-14T21:25:22.4607786Z working-directory: . 2025-08-14T21:25:22.4608034Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:22.4608288Z force-push: false 2025-08-14T21:25:22.4608441Z env: 2025-08-14T21:25:22.4608598Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:22.4608785Z ##[endgroup] 2025-08-14T21:25:22.4622194Z ##[group]Run set -ex 2025-08-14T21:25:22.4622441Z set -ex 2025-08-14T21:25:22.4622719Z  2025-08-14T21:25:22.4623048Z # If the docker build directory or the build script doesn't exist, the action will 2025-08-14T21:25:22.4623480Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-08-14T21:25:22.4623851Z # job could then download the pre-built image as usual 2025-08-14T21:25:22.4624608Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-08-14T21:25:22.4625042Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-08-14T21:25:22.4625273Z else 2025-08-14T21:25:22.4625476Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:25:22.4625794Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:25:22.4626077Z  2025-08-14T21:25:22.4626444Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-08-14T21:25:22.4626830Z  exit 0 2025-08-14T21:25:22.4626989Z fi 2025-08-14T21:25:22.4627130Z  2025-08-14T21:25:22.4627355Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-08-14T21:25:22.4627718Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-08-14T21:25:22.4628048Z  # use it as it is, but first let's extract the tag 2025-08-14T21:25:22.4628361Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-08-14T21:25:22.4628705Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:25:22.4629007Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:25:22.4629259Z else 2025-08-14T21:25:22.4629440Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-08-14T21:25:22.4629687Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-08-14T21:25:22.4629956Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-08-14T21:25:22.4630177Z  fi 2025-08-14T21:25:22.4630487Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-08-14T21:25:22.4630858Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:25:22.4631244Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:25:22.4631658Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:25:22.4631937Z fi 2025-08-14T21:25:22.4638703Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:22.4638936Z env: 2025-08-14T21:25:22.4639096Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:22.4639282Z REPO_NAME: pytorch 2025-08-14T21:25:22.4639899Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:22.4640433Z DOCKER_BUILD_DIR: .ci/docker 2025-08-14T21:25:22.4640630Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-08-14T21:25:22.4640883Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:22.4641131Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-08-14T21:25:22.4641329Z CUSTOM_TAG_PREFIX: 2025-08-14T21:25:22.4641498Z ##[endgroup] 2025-08-14T21:25:22.4664813Z + [[ -d .ci/docker ]] 2025-08-14T21:25:22.4665301Z + [[ -f .ci/docker/./build.sh ]] 2025-08-14T21:25:22.4665650Z + [[ true == \t\r\u\e ]] 2025-08-14T21:25:22.4665936Z + echo skip=false 2025-08-14T21:25:22.4666719Z + [[ 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* ]] 2025-08-14T21:25:22.4672346Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:22.4673109Z ++ awk -F '[:,]' '{print $2}' 2025-08-14T21:25:22.4703449Z + DOCKER_TAG=pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:22.4705760Z + echo docker-tag=pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:22.4706640Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:22.4725382Z ##[group]Run set +e 2025-08-14T21:25:22.4725612Z set +e 2025-08-14T21:25:22.4725784Z set -x 2025-08-14T21:25:22.4725938Z  2025-08-14T21:25:22.4726082Z login() { 2025-08-14T21:25:22.4726394Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-08-14T21:25:22.4726728Z } 2025-08-14T21:25:22.4726872Z  2025-08-14T21:25:22.4727021Z retry () { 2025-08-14T21:25:22.4727212Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-08-14T21:25:22.4727412Z } 2025-08-14T21:25:22.4727559Z  2025-08-14T21:25:22.4727716Z retry login "${DOCKER_REGISTRY}" 2025-08-14T21:25:22.4727916Z  2025-08-14T21:25:22.4728063Z START_TIME=$(date +%s) 2025-08-14T21:25:22.4728265Z # Wait up to 120 minutes 2025-08-14T21:25:22.4728513Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-08-14T21:25:22.4728811Z  # Check if image already exists, if it does then skip building it 2025-08-14T21:25:22.4729116Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-08-14T21:25:22.4729358Z  exit 0 2025-08-14T21:25:22.4729525Z  fi 2025-08-14T21:25:22.4729685Z  2025-08-14T21:25:22.4729954Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-08-14T21:25:22.4730369Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-08-14T21:25:22.4730768Z  # latter, it will wait for the Docker images to become available before continuing 2025-08-14T21:25:22.4731093Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-08-14T21:25:22.4731352Z  # It's a Docker build job, let's build the image 2025-08-14T21:25:22.4731568Z  break 2025-08-14T21:25:22.4731722Z  else 2025-08-14T21:25:22.4731948Z  # It's a regular build job, wait for the image to become available 2025-08-14T21:25:22.4732202Z  sleep 300 2025-08-14T21:25:22.4732366Z  fi 2025-08-14T21:25:22.4732519Z done 2025-08-14T21:25:22.4732669Z  2025-08-14T21:25:22.4732890Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-08-14T21:25:22.4733346Z # be empty. The default action would be to continue rebuild the image 2025-08-14T21:25:22.4733675Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-08-14T21:25:22.4733970Z  # if we're on the base branch then use the parent commit 2025-08-14T21:25:22.4734223Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-08-14T21:25:22.4734434Z else 2025-08-14T21:25:22.4734655Z  # otherwise we're on a PR, so use the most recent base commit 2025-08-14T21:25:22.4734947Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-08-14T21:25:22.4735178Z fi 2025-08-14T21:25:22.4735331Z  2025-08-14T21:25:22.4735496Z if [[ -z "${MERGE_BASE}" ]]; then 2025-08-14T21:25:22.4735725Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:25:22.4735942Z  2025-08-14T21:25:22.4736234Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-08-14T21:25:22.4736630Z  exit 0 2025-08-14T21:25:22.4736786Z fi 2025-08-14T21:25:22.4736930Z  2025-08-14T21:25:22.4737129Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-08-14T21:25:22.4737535Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-08-14T21:25:22.4737880Z  exit 1 2025-08-14T21:25:22.4738175Z fi 2025-08-14T21:25:22.4738319Z  2025-08-14T21:25:22.4738559Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-08-14T21:25:22.4738969Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-08-14T21:25:22.4739393Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-08-14T21:25:22.4739832Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-08-14T21:25:22.4740313Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-08-14T21:25:22.4740608Z fi 2025-08-14T21:25:22.4740755Z  2025-08-14T21:25:22.4740945Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:25:22.4746168Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:22.4746436Z env: 2025-08-14T21:25:22.4746610Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:22.4746798Z DOCKER_BUILD_DIR: .ci/docker 2025-08-14T21:25:22.4747035Z BASE_REVISION: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:25:22.4747689Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:22.4748504Z DOCKER_TAG: pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:22.4749003Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:22.4749274Z DOCKER_PUSH: 2025-08-14T21:25:22.4749442Z ##[endgroup] 2025-08-14T21:25:22.4772008Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:22.4772540Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:22.4775663Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:22.4776396Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:25:22.8941165Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:25:22.8941526Z Login Succeeded 2025-08-14T21:25:22.8941776Z Configure a credential helper to remove this warning. See 2025-08-14T21:25:22.8942157Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:25:22.8942391Z 2025-08-14T21:25:22.8962308Z ++ date +%s 2025-08-14T21:25:22.8970327Z + START_TIME=1755206722 2025-08-14T21:25:22.8974475Z ++ date +%s 2025-08-14T21:25:22.8983546Z + [[ 1755199522 -lt 1755206722 ]] 2025-08-14T21:25:22.8984444Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:23.1526505Z { 2025-08-14T21:25:23.1526835Z "schemaVersion": 2, 2025-08-14T21:25:23.1527237Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-08-14T21:25:23.1527577Z "config": { 2025-08-14T21:25:23.1527847Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-08-14T21:25:23.1528144Z "size": 30151, 2025-08-14T21:25:23.1528459Z "digest": 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"sha256:9fb73296da6ac15f37f36663bd10afc98abb8a01fb40bff4848de7247d28e018" 2025-08-14T21:25:23.1615707Z }, 2025-08-14T21:25:23.1615821Z { 2025-08-14T21:25:23.1616016Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:25:23.1616249Z "size": 32, 2025-08-14T21:25:23.1616524Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-08-14T21:25:23.1616792Z } 2025-08-14T21:25:23.1616915Z ] 2025-08-14T21:25:23.1617034Z } 2025-08-14T21:25:23.1636480Z ##[group]Run set -eux 2025-08-14T21:25:23.1636692Z set -eux 2025-08-14T21:25:23.1637201Z 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 2025-08-14T21:25:23.1642270Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:23.1642499Z env: 2025-08-14T21:25:23.1642657Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:23.1642833Z ##[endgroup] 2025-08-14T21:25:23.1668678Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-08-14T21:25:23.1670988Z + jq --raw-output .SecretString 2025-08-14T21:25:23.1671297Z + docker login --username pytorchbot --password-stdin 2025-08-14T21:25:23.1671587Z + jq -r .docker_hub_readonly_token 2025-08-14T21:25:23.6145245Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:25:23.6145629Z Login Succeeded 2025-08-14T21:25:23.6145861Z Configure a credential helper to remove this warning. See 2025-08-14T21:25:23.6146235Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:25:23.6146483Z 2025-08-14T21:25:23.6218410Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-08-14T21:25:23.6218662Z tag=${ECR_DOCKER_IMAGE##*:} 2025-08-14T21:25:23.6218905Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-08-14T21:25:23.6223529Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:23.6223758Z env: 2025-08-14T21:25:23.6223902Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:23.6224579Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:23.6225137Z ##[endgroup] 2025-08-14T21:25:23.6250010Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:23.6282862Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-08-14T21:25:23.6283184Z with: 2025-08-14T21:25:23.6283786Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:23.6284494Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:23.6284795Z env: 2025-08-14T21:25:23.6284979Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:23.6285199Z ##[endgroup] 2025-08-14T21:25:23.6309396Z ##[group]Run set -x 2025-08-14T21:25:23.6309609Z set -x 2025-08-14T21:25:23.6309782Z set +e 2025-08-14T21:25:23.6309948Z  2025-08-14T21:25:23.6310101Z login() { 2025-08-14T21:25:23.6310447Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-08-14T21:25:23.6310810Z } 2025-08-14T21:25:23.6310961Z  2025-08-14T21:25:23.6311176Z retry () { 2025-08-14T21:25:23.6311369Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-08-14T21:25:23.6311591Z } 2025-08-14T21:25:23.6311746Z  2025-08-14T21:25:23.6311918Z retry login "${DOCKER_REGISTRY}" 2025-08-14T21:25:23.6312128Z  2025-08-14T21:25:23.6312454Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-08-14T21:25:23.6312879Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-08-14T21:25:23.6313125Z  2025-08-14T21:25:23.6313281Z set -e 2025-08-14T21:25:23.6313521Z # ignore output since only exit code is used for conditional 2025-08-14T21:25:23.6313843Z # only pull docker image if it's not available locally 2025-08-14T21:25:23.6314290Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-08-14T21:25:23.6314602Z  retry docker pull "${DOCKER_IMAGE}" 2025-08-14T21:25:23.6314809Z fi 2025-08-14T21:25:23.6318752Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:25:23.6319000Z env: 2025-08-14T21:25:23.6319164Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:25:23.6319704Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:23.6320330Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:23.6320582Z ##[endgroup] 2025-08-14T21:25:23.6341466Z + set +e 2025-08-14T21:25:23.6341757Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:23.6342085Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:23.6344395Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:25:23.6345017Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:25:24.0759070Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:25:24.0759566Z Configure a credential helper to remove this warning. See 2025-08-14T21:25:24.0759990Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:25:24.0760246Z 2025-08-14T21:25:24.0760326Z Login Succeeded 2025-08-14T21:25:24.0783284Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-08-14T21:25:24.0784089Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:24.3459637Z + IMAGE_SIZE=27663.483686447144 2025-08-14T21:25:24.3459939Z + echo 'Compressed size of image in MB: 27663.483686447144' 2025-08-14T21:25:24.3460224Z + set -e 2025-08-14T21:25:24.3461171Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:24.3461798Z Compressed size of image in MB: 27663.483686447144 2025-08-14T21:25:24.3605262Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:24.3606446Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:25:24.6305984Z pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe: Pulling from pytorch/ci-image 2025-08-14T21:25:24.6306700Z 660ffc76f83b: Pulling fs layer 2025-08-14T21:25:24.6306921Z c7b4a852a455: Pulling fs layer 2025-08-14T21:25:24.6307149Z e5a28988c893: Pulling fs layer 2025-08-14T21:25:24.6307344Z 76a69b57b683: Pulling fs layer 2025-08-14T21:25:24.6307539Z 5c785dcb4cdb: Pulling fs layer 2025-08-14T21:25:24.6307723Z 836ab08052e8: Pulling fs layer 2025-08-14T21:25:24.6307926Z 53b11c77468c: Pulling fs layer 2025-08-14T21:25:24.6308114Z e97311a6a967: Pulling fs layer 2025-08-14T21:25:24.6308296Z 2c414689d31d: Pulling fs layer 2025-08-14T21:25:24.6308488Z 6d89b5f065d5: Pulling fs layer 2025-08-14T21:25:24.6308680Z 5a5cc76ada43: Pulling fs layer 2025-08-14T21:25:24.6308869Z fc6b37d40530: Pulling fs layer 2025-08-14T21:25:24.6309060Z 2e1657907860: Pulling fs layer 2025-08-14T21:25:24.6309250Z 7b92d7a4b8c7: Pulling fs layer 2025-08-14T21:25:24.6309441Z 4f4fb700ef54: Pulling fs layer 2025-08-14T21:25:24.6309625Z d6226eb61f82: Pulling fs layer 2025-08-14T21:25:24.6309815Z 83c70f4266a6: Pulling fs layer 2025-08-14T21:25:24.6310003Z 60c725d21861: Pulling fs layer 2025-08-14T21:25:24.6310182Z a504e76e66a4: Pulling fs layer 2025-08-14T21:25:24.6311380Z fc1c200a4f77: Pulling fs layer 2025-08-14T21:25:24.6311572Z 43273c22704f: Pulling fs layer 2025-08-14T21:25:24.6311758Z 89df389d042a: Pulling fs layer 2025-08-14T21:25:24.6311950Z 684349f50d94: Pulling fs layer 2025-08-14T21:25:24.6312147Z 21d0eae87fb3: Pulling fs layer 2025-08-14T21:25:24.6312331Z c9c2b424b8e0: Pulling fs layer 2025-08-14T21:25:24.6312520Z 98dda28f3395: Pulling fs layer 2025-08-14T21:25:24.6312713Z acf5babd87f2: Pulling fs layer 2025-08-14T21:25:24.6312896Z 7c5050d8408d: Pulling fs layer 2025-08-14T21:25:24.6313088Z 7ddd14e2b548: Pulling fs layer 2025-08-14T21:25:24.6313279Z 4ba8e7a736c8: Pulling fs layer 2025-08-14T21:25:24.6313462Z 907c320fee2f: Pulling fs layer 2025-08-14T21:25:24.6313651Z 18c4ed1ec491: Pulling fs layer 2025-08-14T21:25:24.6313844Z d7618c2df6cd: Pulling fs layer 2025-08-14T21:25:24.6314036Z b7bdd9a6f789: Pulling fs layer 2025-08-14T21:25:24.6314219Z 6738ba83282e: Pulling fs layer 2025-08-14T21:25:24.6314413Z dfb0f2488639: Pulling fs layer 2025-08-14T21:25:24.6314607Z dc833b0762f2: Pulling fs layer 2025-08-14T21:25:24.6314793Z 8827df8ca2da: Pulling fs layer 2025-08-14T21:25:24.6314989Z fac8f3bd0f85: Pulling fs layer 2025-08-14T21:25:24.6315184Z d7cf7f140df3: Pulling fs layer 2025-08-14T21:25:24.6315378Z 733eedc8da8d: Pulling fs layer 2025-08-14T21:25:24.6315572Z 5b092eb06909: Pulling fs layer 2025-08-14T21:25:24.6315764Z bc5961031092: Pulling fs layer 2025-08-14T21:25:24.6315947Z 0531cc34c12a: Pulling fs layer 2025-08-14T21:25:24.6316139Z 38c303d3b62e: Pulling fs layer 2025-08-14T21:25:24.6316331Z e06d15594a2a: Pulling fs layer 2025-08-14T21:25:24.6316516Z 0e55deb5cb38: Pulling fs layer 2025-08-14T21:25:24.6316706Z 4a53d66dce07: Pulling fs layer 2025-08-14T21:25:24.6316894Z 1519daa051b8: Pulling fs layer 2025-08-14T21:25:24.6317084Z 381ed91d2119: Pulling fs layer 2025-08-14T21:25:24.6317270Z c6b0a01a96dd: Pulling fs layer 2025-08-14T21:25:24.6317465Z 62df6413daee: Pulling fs layer 2025-08-14T21:25:24.6317658Z 7a18bc2a6881: Pulling fs layer 2025-08-14T21:25:24.6317848Z 93359cd58a8c: Pulling fs layer 2025-08-14T21:25:24.6318044Z c35ba0a1f353: Pulling fs layer 2025-08-14T21:25:24.6318274Z dcf1e01c98d6: Pulling fs layer 2025-08-14T21:25:24.6318467Z bad0564f61fd: Pulling fs layer 2025-08-14T21:25:24.6318811Z 539ded905736: Pulling fs layer 2025-08-14T21:25:24.6319008Z acf5babd87f2: Waiting 2025-08-14T21:25:24.6319196Z 28d482062637: Pulling fs layer 2025-08-14T21:25:24.6319377Z 7c5050d8408d: Waiting 2025-08-14T21:25:24.6319556Z 3245316ff51b: Pulling fs layer 2025-08-14T21:25:24.6319752Z b53167d1a6df: Pulling fs layer 2025-08-14T21:25:24.6319936Z 7f5277f69167: Pulling fs layer 2025-08-14T21:25:24.6320133Z 23dff10cdaa5: Pulling fs layer 2025-08-14T21:25:24.6320326Z 9fb73296da6a: Pulling fs layer 2025-08-14T21:25:24.6320503Z 53b11c77468c: Waiting 2025-08-14T21:25:24.6320674Z 76a69b57b683: Waiting 2025-08-14T21:25:24.6320842Z 98dda28f3395: Waiting 2025-08-14T21:25:24.6321002Z 7ddd14e2b548: Waiting 2025-08-14T21:25:24.6321171Z 381ed91d2119: Waiting 2025-08-14T21:25:24.6321334Z 733eedc8da8d: Waiting 2025-08-14T21:25:24.6321504Z 93359cd58a8c: Waiting 2025-08-14T21:25:24.6321661Z 5b092eb06909: Waiting 2025-08-14T21:25:24.6321826Z d7618c2df6cd: Waiting 2025-08-14T21:25:24.6321990Z c35ba0a1f353: 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836ab08052e8: Verifying Checksum 2025-08-14T21:25:25.0182760Z 836ab08052e8: Download complete 2025-08-14T21:25:25.1051270Z 53b11c77468c: Verifying Checksum 2025-08-14T21:25:25.1051637Z 53b11c77468c: Download complete 2025-08-14T21:25:25.1194510Z e97311a6a967: Verifying Checksum 2025-08-14T21:25:25.1198305Z e97311a6a967: Download complete 2025-08-14T21:25:25.2670628Z 6d89b5f065d5: Download complete 2025-08-14T21:25:25.3391861Z 5a5cc76ada43: Download complete 2025-08-14T21:25:25.4317742Z fc6b37d40530: Download complete 2025-08-14T21:25:25.5147773Z 2e1657907860: Download complete 2025-08-14T21:25:26.0842443Z 660ffc76f83b: Pull complete 2025-08-14T21:25:26.0946329Z c7b4a852a455: Pull complete 2025-08-14T21:25:26.2555559Z 2c414689d31d: Verifying Checksum 2025-08-14T21:25:26.2555908Z 2c414689d31d: Download complete 2025-08-14T21:25:26.2616927Z 4f4fb700ef54: Verifying Checksum 2025-08-14T21:25:26.2618712Z 4f4fb700ef54: Download complete 2025-08-14T21:25:26.3639203Z d6226eb61f82: Verifying 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b53167d1a6df: Pull complete 2025-08-14T21:35:03.1405961Z 7f5277f69167: Pull complete 2025-08-14T21:35:03.6968967Z 23dff10cdaa5: Pull complete 2025-08-14T21:35:06.4874540Z 9fb73296da6a: Pull complete 2025-08-14T21:35:07.1842677Z Digest: sha256:4236794baba289041d240d08fd393bbd57497c3012e5e0ccd9fd98f61ebf35c6 2025-08-14T21:35:07.2914794Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:35:07.3248717Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:35:07.3319980Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:35:07.3320587Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:35:07.3329345Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:07.3329605Z env: 2025-08-14T21:35:07.3329783Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:07.3329987Z ##[endgroup] 2025-08-14T21:35:07.3407202Z Prepare all required actions 2025-08-14T21:35:07.3441208Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-08-14T21:35:07.3441485Z with: 2025-08-14T21:35:07.3442098Z github-token: *** 2025-08-14T21:35:07.3442286Z env: 2025-08-14T21:35:07.3442476Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:07.3442697Z ##[endgroup] 2025-08-14T21:35:07.3635814Z ##[group]Run set -eux 2025-08-14T21:35:07.3636032Z set -eux 2025-08-14T21:35:07.3636323Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-08-14T21:35:07.3641114Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:07.3641343Z env: 2025-08-14T21:35:07.3641498Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:07.3641974Z GITHUB_TOKEN: *** 2025-08-14T21:35:07.3642137Z ##[endgroup] 2025-08-14T21:35:07.3663125Z + python3 .github/scripts/get_workflow_job_id.py 16976338999 i-0a572e829b0dd50b7 2025-08-14T21:35:09.0221224Z Setting output job-id=48128301874 2025-08-14T21:35:09.0222143Z Setting output job-name=linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_timm, 1, 2, linux.8xlarge.amx) 2025-08-14T21:35:09.0336922Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-08-14T21:35:09.0337361Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-08-14T21:35:09.0337907Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-08-14T21:35:09.0338387Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:35:09.0342920Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:09.0343155Z env: 2025-08-14T21:35:09.0343315Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:09.0343484Z JOB_ID: 48128301874 2025-08-14T21:35:09.0343857Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_timm, 1, 2, linux.8xlarge.amx) 2025-08-14T21:35:09.0344494Z WORKFLOW_NAME: inductor-periodic 2025-08-14T21:35:09.0344757Z WORKFLOW_RUN_ID: 16976338999 2025-08-14T21:35:09.0344952Z MONITOR_LOG_INTERVAL: 5 2025-08-14T21:35:09.0345165Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-08-14T21:35:09.0345355Z ##[endgroup] 2025-08-14T21:35:09.8006019Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:35:10.0920655Z Collecting psutil==5.9.8 2025-08-14T21:35:10.1068456Z 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) 2025-08-14T21:35:10.2365662Z Collecting dataclasses_json==0.6.7 2025-08-14T21:35:10.2404482Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-08-14T21:35:10.2857554Z Collecting nvidia-ml-py==11.525.84 2025-08-14T21:35:10.2893402Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-08-14T21:35:10.4135414Z Collecting marshmallow<4.0.0,>=3.18.0 2025-08-14T21:35:10.4174164Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-08-14T21:35:10.5377122Z Collecting typing-inspect<1,>=0.4.0 2025-08-14T21:35:10.5415850Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-08-14T21:35:10.6791110Z Collecting packaging>=17.0 2025-08-14T21:35:10.6830113Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-08-14T21:35:10.8211726Z Collecting typing-extensions>=3.7.4 2025-08-14T21:35:10.8251929Z Downloading typing_extensions-4.14.1-py3-none-any.whl (43 kB) 2025-08-14T21:35:10.9301600Z Collecting mypy-extensions>=0.3.0 2025-08-14T21:35:10.9338271Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-08-14T21:35:11.2453991Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-08-14T21:35:11.8978812Z 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 2025-08-14T21:35:12.1457446Z Prepare all required actions 2025-08-14T21:35:12.1457728Z Getting action download info 2025-08-14T21:35:12.2890267Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-08-14T21:35:12.6841548Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-08-14T21:35:15.5077250Z ##[group]Run ./.github/actions/download-build-artifacts 2025-08-14T21:35:15.5077507Z with: 2025-08-14T21:35:15.5077691Z name: linux-jammy-py3.9-gcc11-build 2025-08-14T21:35:15.5077905Z s3-bucket: gha-artifacts 2025-08-14T21:35:15.5078087Z env: 2025-08-14T21:35:15.5078246Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:15.5078582Z ##[endgroup] 2025-08-14T21:35:15.5097193Z ##[group]Run seemethere/download-artifact-s3@v4 2025-08-14T21:35:15.5097409Z with: 2025-08-14T21:35:15.5097572Z name: linux-jammy-py3.9-gcc11-build 2025-08-14T21:35:15.5097789Z s3-bucket: gha-artifacts 2025-08-14T21:35:15.5097995Z region: us-east-1 2025-08-14T21:35:15.5098137Z env: 2025-08-14T21:35:15.5098279Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:15.5098442Z ##[endgroup] 2025-08-14T21:35:16.1294364Z (node:47840) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-08-14T21:35:16.1298271Z 2025-08-14T21:35:16.1301822Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-08-14T21:35:16.1302244Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-08-14T21:35:16.1303277Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-08-14T21:35:16.8828921Z Found 1 objects with prefix pytorch/pytorch/16976338999/linux-jammy-py3.9-gcc11-build/ 2025-08-14T21:35:16.8829409Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-08-14T21:35:21.5515954Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-08-14T21:35:21.5521744Z Artifact download has finished successfully 2025-08-14T21:35:21.5742894Z ##[group]Run unzip -o artifacts.zip 2025-08-14T21:35:21.5743155Z unzip -o artifacts.zip 2025-08-14T21:35:21.5748364Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:21.5748620Z env: 2025-08-14T21:35:21.5748790Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:21.5748986Z ##[endgroup] 2025-08-14T21:35:21.5817830Z Archive: artifacts.zip 2025-08-14T21:35:21.5822205Z creating: dist/ 2025-08-14T21:35:22.6440439Z inflating: dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl 2025-08-14T21:35:22.6444823Z 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2025-08-14T21:35:28.2840798Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:28.2841023Z env: 2025-08-14T21:35:28.2841171Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:28.2841344Z ##[endgroup] 2025-08-14T21:35:28.3371426Z ##[group]Run df -H 2025-08-14T21:35:28.3371612Z df -H 2025-08-14T21:35:28.3376071Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:28.3376457Z env: 2025-08-14T21:35:28.3376623Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:28.3376799Z ##[endgroup] 2025-08-14T21:35:28.3417132Z Filesystem Size Used Avail Use% Mounted on 2025-08-14T21:35:28.3422402Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-08-14T21:35:28.3422698Z tmpfs 67G 0 67G 0% /dev/shm 2025-08-14T21:35:28.3422921Z tmpfs 27G 791k 27G 1% /run 2025-08-14T21:35:28.3423124Z /dev/nvme0n1p1 215G 69G 147G 32% / 2025-08-14T21:35:28.3423322Z tmpfs 67G 13k 67G 1% /tmp 2025-08-14T21:35:28.3423538Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-08-14T21:35:28.3443887Z Prepare all required actions 2025-08-14T21:35:28.3444799Z Getting action download info 2025-08-14T21:35:28.4838874Z ##[group]Run ./.github/actions/download-td-artifacts 2025-08-14T21:35:28.4839171Z with: 2025-08-14T21:35:28.4839315Z env: 2025-08-14T21:35:28.4839487Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:28.4839663Z ##[endgroup] 2025-08-14T21:35:28.4977688Z ##[group]Run seemethere/download-artifact-s3@v4 2025-08-14T21:35:28.4977914Z with: 2025-08-14T21:35:28.4978068Z name: td_results 2025-08-14T21:35:28.4978235Z s3-bucket: gha-artifacts 2025-08-14T21:35:28.4978597Z region: us-east-1 2025-08-14T21:35:28.4978759Z env: 2025-08-14T21:35:28.4978941Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:28.4979112Z ##[endgroup] 2025-08-14T21:35:28.8356720Z (node:47861) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-08-14T21:35:28.8357163Z 2025-08-14T21:35:28.8357498Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-08-14T21:35:28.8357822Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-08-14T21:35:28.8358146Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-08-14T21:35:28.9166978Z Found 0 objects with prefix pytorch/pytorch/16976338999/td_results/ 2025-08-14T21:35:28.9169999Z Artifact download has finished successfully 2025-08-14T21:35:28.9360919Z ##[group]Run mkdir -p .additional_ci_files 2025-08-14T21:35:28.9361174Z mkdir -p .additional_ci_files 2025-08-14T21:35:28.9361437Z mv td_results.json .additional_ci_files/td_results.json || true 2025-08-14T21:35:28.9366598Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:28.9366853Z env: 2025-08-14T21:35:28.9367008Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:28.9367171Z ##[endgroup] 2025-08-14T21:35:28.9413942Z mv: cannot stat 'td_results.json': No such file or directory 2025-08-14T21:35:28.9459192Z ##[group]Run .github/scripts/parse_ref.py 2025-08-14T21:35:28.9459443Z .github/scripts/parse_ref.py 2025-08-14T21:35:28.9463266Z shell: /usr/bin/bash -e {0} 2025-08-14T21:35:28.9463443Z env: 2025-08-14T21:35:28.9463594Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:28.9463763Z ##[endgroup] 2025-08-14T21:35:28.9856115Z Setting output branch=main 2025-08-14T21:35:28.9938150Z Prepare all required actions 2025-08-14T21:35:28.9938447Z Getting action download info 2025-08-14T21:35:29.2166130Z ##[group]Run ./.github/actions/filter-test-configs 2025-08-14T21:35:29.2166371Z with: 2025-08-14T21:35:29.2166774Z github-token: *** 2025-08-14T21:35:29.2168729Z 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"}]} 2025-08-14T21:35:29.2171107Z job-name: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_timm, 1, 2, linux.8xlarge.amx) 2025-08-14T21:35:29.2171472Z env: 2025-08-14T21:35:29.2171616Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:29.2171787Z ##[endgroup] 2025-08-14T21:35:29.2247282Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-14T21:35:29.2247499Z with: 2025-08-14T21:35:29.2247661Z shell: bash 2025-08-14T21:35:29.2247832Z timeout_minutes: 10 2025-08-14T21:35:29.2247998Z max_attempts: 5 2025-08-14T21:35:29.2248187Z retry_wait_seconds: 30 2025-08-14T21:35:29.2248670Z 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 2025-08-14T21:35:29.2249135Z polling_interval_seconds: 1 2025-08-14T21:35:29.2249310Z warning_on_retry: true 2025-08-14T21:35:29.2249479Z continue_on_error: false 2025-08-14T21:35:29.2249648Z env: 2025-08-14T21:35:29.2249784Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:29.2250086Z GITHUB_TOKEN: *** 2025-08-14T21:35:29.2250243Z ##[endgroup] 2025-08-14T21:35:29.3314009Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-08-14T21:35:29.4990576Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:35:30.5008031Z Collecting requests==2.27.1 2025-08-14T21:35:30.5155716Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-08-14T21:35:30.7732140Z Collecting pyyaml==6.0.2 2025-08-14T21:35:30.7777350Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-08-14T21:35:31.1562473Z Collecting charset-normalizer~=2.0.0 2025-08-14T21:35:31.1601731Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-08-14T21:35:31.2296455Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-08-14T21:35:31.3300366Z Collecting certifi>=2017.4.17 2025-08-14T21:35:31.3334804Z Downloading certifi-2025.8.3-py3-none-any.whl (161 kB) 2025-08-14T21:35:31.3891839Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-08-14T21:35:31.4472526Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-08-14T21:35:31.8675296Z Successfully installed certifi-2025.8.3 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-08-14T21:35:32.2872452Z Command completed after 1 attempt(s). 2025-08-14T21:35:32.2926380Z ##[group]Run set -x 2025-08-14T21:35:32.2926584Z set -x 2025-08-14T21:35:32.2926743Z  2025-08-14T21:35:32.2927001Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-08-14T21:35:32.2927296Z # in runner workspace 2025-08-14T21:35:32.2927550Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-08-14T21:35:32.2933061Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:32.2933336Z env: 2025-08-14T21:35:32.2933508Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:32.2933742Z ##[endgroup] 2025-08-14T21:35:32.2957614Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-08-14T21:35:32.3100199Z Setting output branch=main 2025-08-14T21:35:32.3155027Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-08-14T21:35:32.3155311Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-08-14T21:35:32.3155557Z echo "Job name: ${JOB_NAME}" 2025-08-14T21:35:32.3155759Z  2025-08-14T21:35:32.3156010Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-08-14T21:35:32.3156454Z # in runner workspace 2025-08-14T21:35:32.3156737Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-08-14T21:35:32.3157048Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-08-14T21:35:32.3157265Z  --job-name "${JOB_NAME}" \ 2025-08-14T21:35:32.3159402Z  --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"}]}" \ 2025-08-14T21:35:32.3161728Z  --selected-test-configs "" \ 2025-08-14T21:35:32.3161947Z  --pr-number "${PR_NUMBER}" \ 2025-08-14T21:35:32.3162148Z  --tag "${TAG}" \ 2025-08-14T21:35:32.3162339Z  --event-name "${EVENT_NAME}" \ 2025-08-14T21:35:32.3162550Z  --schedule "${SCHEDULE}" \ 2025-08-14T21:35:32.3162741Z  --branch "${HEAD_BRANCH}" 2025-08-14T21:35:32.3167343Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:32.3167584Z env: 2025-08-14T21:35:32.3167739Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:32.3168235Z GITHUB_TOKEN: *** 2025-08-14T21:35:32.3168617Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_timm, 1, 2, linux.8xlarge.amx) 2025-08-14T21:35:32.3168987Z PR_NUMBER: 2025-08-14T21:35:32.3169131Z TAG: 2025-08-14T21:35:32.3169276Z EVENT_NAME: schedule 2025-08-14T21:35:32.3169453Z SCHEDULE: 45 0,4,8,12,16,20 * * 1-5 2025-08-14T21:35:32.3169646Z HEAD_BRANCH: main 2025-08-14T21:35:32.3169812Z ##[endgroup] 2025-08-14T21:35:32.3192336Z Workflow: inductor-periodic 2025-08-14T21:35:32.3198678Z Job name: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_timm, 1, 2, linux.8xlarge.amx) 2025-08-14T21:35:32.4751708Z Setting output keep-going=True 2025-08-14T21:35:32.4755039Z Setting output ci-verbose-test-logs=False 2025-08-14T21:35:32.4755408Z Setting output ci-test-showlocals=False 2025-08-14T21:35:32.4755663Z Setting output ci-no-test-timeout=False 2025-08-14T21:35:32.4755888Z Setting output ci-no-td=False 2025-08-14T21:35:32.4756104Z Setting output ci-td-distributed=False 2025-08-14T21:35:32.4756314Z Setting output is-unstable=False 2025-08-14T21:35:32.4756519Z Setting output reenabled-issues= 2025-08-14T21:35:32.4758692Z 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"}]} 2025-08-14T21:35:32.4761115Z Setting output is-test-matrix-empty=False 2025-08-14T21:35:32.4904922Z ##[group]Run echo "Filtered matrix:" 2025-08-14T21:35:32.4905221Z echo "Filtered matrix:" 2025-08-14T21:35:32.4907361Z 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"}]}" 2025-08-14T21:35:32.4909575Z  2025-08-14T21:35:32.4909727Z echo 2025-08-14T21:35:32.4909916Z echo "Is the current job unstable? False" 2025-08-14T21:35:32.4910144Z  2025-08-14T21:35:32.4910287Z echo 2025-08-14T21:35:32.4910462Z echo "Is keep-going label set? True" 2025-08-14T21:35:32.4910661Z  2025-08-14T21:35:32.4910799Z echo 2025-08-14T21:35:32.4910961Z echo "Reenabled issues? " 2025-08-14T21:35:32.4915557Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:32.4915808Z env: 2025-08-14T21:35:32.4915971Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:32.4916145Z ##[endgroup] 2025-08-14T21:35:32.4939767Z Filtered matrix: 2025-08-14T21:35:32.4942655Z {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}]} 2025-08-14T21:35:32.4945286Z 2025-08-14T21:35:32.4945387Z Is the current job unstable? False 2025-08-14T21:35:32.4945552Z 2025-08-14T21:35:32.4945642Z Is keep-going label set? True 2025-08-14T21:35:32.4945788Z 2025-08-14T21:35:32.4945897Z Reenabled issues? 2025-08-14T21:35:32.5081315Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-08-14T21:35:32.5081833Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-08-14T21:35:32.5086877Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:32.5087120Z env: 2025-08-14T21:35:32.5087278Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:32.5087450Z JOB_TIMEOUT: 240 2025-08-14T21:35:32.5087612Z ##[endgroup] 2025-08-14T21:35:32.5253638Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:35:32.5253974Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:35:32.5254252Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:35:32.5258337Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:32.5258575Z env: 2025-08-14T21:35:32.5258737Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:32.5258913Z ##[endgroup] 2025-08-14T21:35:32.5348779Z ##[group]Run set -x 2025-08-14T21:35:32.5349029Z set -x 2025-08-14T21:35:32.5349197Z  2025-08-14T21:35:32.5349387Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-08-14T21:35:32.5349641Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-08-14T21:35:32.5349882Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-08-14T21:35:32.5350111Z  TEST_COMMAND=.ci/onnx/test.sh 2025-08-14T21:35:32.5350308Z else 2025-08-14T21:35:32.5350486Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-08-14T21:35:32.5350681Z fi 2025-08-14T21:35:32.5350826Z  2025-08-14T21:35:32.5351010Z # Leaving 1GB for the runner and other things 2025-08-14T21:35:32.5351362Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-08-14T21:35:32.5351912Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-08-14T21:35:32.5352336Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-08-14T21:35:32.5352662Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-08-14T21:35:32.5352920Z  2025-08-14T21:35:32.5353103Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-08-14T21:35:32.5353320Z  SHM_OPTS= 2025-08-14T21:35:32.5353495Z  JENKINS_USER= 2025-08-14T21:35:32.5353728Z  # ensure that docker container cleanly exits in 12 hours 2025-08-14T21:35:32.5354016Z  # if for some reason cleanup action doesn't stop container 2025-08-14T21:35:32.5354269Z  # when job is cancelled 2025-08-14T21:35:32.5354483Z  DOCKER_SHELL_CMD="sleep 12h" 2025-08-14T21:35:32.5354680Z else 2025-08-14T21:35:32.5354853Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-08-14T21:35:32.5355077Z  JENKINS_USER="--user jenkins" 2025-08-14T21:35:32.5355304Z  DOCKER_SHELL_CMD= 2025-08-14T21:35:32.5355475Z fi 2025-08-14T21:35:32.5355625Z  2025-08-14T21:35:32.5355844Z # detached container should get cleaned up by teardown_ec2_linux 2025-08-14T21:35:32.5356168Z # TODO: Stop building test binaries as part of the build phase 2025-08-14T21:35:32.5356527Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-08-14T21:35:32.5356851Z # shellcheck disable=SC2086,SC2090 2025-08-14T21:35:32.5357075Z container_name=$(docker run \ 2025-08-14T21:35:32.5357279Z  ${GPU_FLAG:-} \ 2025-08-14T21:35:32.5357486Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-08-14T21:35:32.5357712Z  -e BUILD_ENVIRONMENT \ 2025-08-14T21:35:32.5357913Z  -e PR_NUMBER \ 2025-08-14T21:35:32.5358094Z  -e GITHUB_ACTIONS \ 2025-08-14T21:35:32.5358289Z  -e GITHUB_REPOSITORY \ 2025-08-14T21:35:32.5358490Z  -e GITHUB_WORKFLOW \ 2025-08-14T21:35:32.5358678Z  -e GITHUB_JOB \ 2025-08-14T21:35:32.5358961Z  -e GITHUB_RUN_ID \ 2025-08-14T21:35:32.5359152Z  -e GITHUB_RUN_NUMBER \ 2025-08-14T21:35:32.5359340Z  -e GITHUB_RUN_ATTEMPT \ 2025-08-14T21:35:32.5359537Z  -e JOB_ID \ 2025-08-14T21:35:32.5359717Z  -e JOB_NAME \ 2025-08-14T21:35:32.5359900Z  -e BASE_SHA \ 2025-08-14T21:35:32.5360068Z  -e BRANCH \ 2025-08-14T21:35:32.5360236Z  -e SHA1 \ 2025-08-14T21:35:32.5360412Z  -e AWS_DEFAULT_REGION \ 2025-08-14T21:35:32.5360604Z  -e IN_WHEEL_TEST \ 2025-08-14T21:35:32.5360789Z  -e SHARD_NUMBER \ 2025-08-14T21:35:32.5360975Z  -e TEST_CONFIG \ 2025-08-14T21:35:32.5361153Z  -e NUM_TEST_SHARDS \ 2025-08-14T21:35:32.5361349Z  -e REENABLED_ISSUES \ 2025-08-14T21:35:32.5361553Z  -e CONTINUE_THROUGH_ERROR \ 2025-08-14T21:35:32.5361823Z  -e VERBOSE_TEST_LOGS \ 2025-08-14T21:35:32.5362019Z  -e TEST_SHOWLOCALS \ 2025-08-14T21:35:32.5362212Z  -e NO_TEST_TIMEOUT \ 2025-08-14T21:35:32.5362398Z  -e NO_TD \ 2025-08-14T21:35:32.5362568Z  -e TD_DISTRIBUTED \ 2025-08-14T21:35:32.5362757Z  -e PR_LABELS \ 2025-08-14T21:35:32.5362961Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-08-14T21:35:32.5363171Z  -e SCCACHE_BUCKET \ 2025-08-14T21:35:32.5363363Z  -e SCCACHE_REGION \ 2025-08-14T21:35:32.5363551Z  -e XLA_CUDA \ 2025-08-14T21:35:32.5363740Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-08-14T21:35:32.5363976Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-08-14T21:35:32.5364219Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-08-14T21:35:32.5364455Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-08-14T21:35:32.5364671Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-08-14T21:35:32.5364890Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-08-14T21:35:32.5365100Z  -e DASHBOARD_TAG \ 2025-08-14T21:35:32.5365293Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-08-14T21:35:32.5365529Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-08-14T21:35:32.5365799Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-08-14T21:35:32.5366065Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-08-14T21:35:32.5366310Z  --security-opt seccomp=unconfined \ 2025-08-14T21:35:32.5366532Z  --cap-add=SYS_PTRACE \ 2025-08-14T21:35:32.5366728Z  --ipc=host \ 2025-08-14T21:35:32.5366903Z  ${SHM_OPTS} \ 2025-08-14T21:35:32.5367076Z  --tty \ 2025-08-14T21:35:32.5367238Z  --detach \ 2025-08-14T21:35:32.5367415Z  --name="${container_name}" \ 2025-08-14T21:35:32.5367622Z  ${JENKINS_USER} \ 2025-08-14T21:35:32.5367853Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-08-14T21:35:32.5368112Z  -w /var/lib/jenkins/workspace \ 2025-08-14T21:35:32.5368318Z  "${DOCKER_IMAGE}" \ 2025-08-14T21:35:32.5368505Z  ${DOCKER_SHELL_CMD} 2025-08-14T21:35:32.5368682Z ) 2025-08-14T21:35:32.5368875Z # Propagate download.pytorch.org IP to container 2025-08-14T21:35:32.5369279Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-08-14T21:35:32.5369686Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-08-14T21:35:32.5369919Z  2025-08-14T21:35:32.5370093Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-08-14T21:35:32.5370428Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-08-14T21:35:32.5370721Z fi 2025-08-14T21:35:32.5370859Z  2025-08-14T21:35:32.5371150Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-08-14T21:35:32.5375037Z shell: /usr/bin/bash -e {0} 2025-08-14T21:35:32.5375215Z env: 2025-08-14T21:35:32.5375369Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:32.5375588Z BUILD_ENVIRONMENT: linux-jammy-py3.9-gcc11-build 2025-08-14T21:35:32.5375814Z PR_NUMBER: 2025-08-14T21:35:32.5375975Z GITHUB_REPOSITORY: pytorch/pytorch 2025-08-14T21:35:32.5376186Z GITHUB_WORKFLOW: inductor-periodic 2025-08-14T21:35:32.5376381Z GITHUB_JOB: test 2025-08-14T21:35:32.5376537Z GITHUB_RUN_ID: 16976338999 2025-08-14T21:35:32.5376720Z GITHUB_RUN_NUMBER: 66307 2025-08-14T21:35:32.5376897Z GITHUB_RUN_ATTEMPT: 1 2025-08-14T21:35:32.5377063Z JOB_ID: 48128301874 2025-08-14T21:35:32.5377434Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_timm, 1, 2, linux.8xlarge.amx) 2025-08-14T21:35:32.5377814Z BRANCH: main 2025-08-14T21:35:32.5377988Z SHA1: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:32.5378286Z BASE_SHA: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:32.5378808Z TEST_CONFIG: cpu_inductor_timm 2025-08-14T21:35:32.5379009Z SHARD_NUMBER: 1 2025-08-14T21:35:32.5379172Z NUM_TEST_SHARDS: 2 2025-08-14T21:35:32.5379353Z REENABLED_ISSUES: 2025-08-14T21:35:32.5379538Z CONTINUE_THROUGH_ERROR: True 2025-08-14T21:35:32.5379731Z VERBOSE_TEST_LOGS: False 2025-08-14T21:35:32.5379928Z TEST_SHOWLOCALS: False 2025-08-14T21:35:32.5380117Z NO_TEST_TIMEOUT: False 2025-08-14T21:35:32.5380287Z NO_TD: False 2025-08-14T21:35:32.5380455Z TD_DISTRIBUTED: False 2025-08-14T21:35:32.5380682Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-08-14T21:35:32.5380938Z SCCACHE_REGION: us-east-1 2025-08-14T21:35:32.5381135Z SHM_SIZE: 1g 2025-08-14T21:35:32.5381646Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:35:32.5382180Z XLA_CUDA: 2025-08-14T21:35:32.5382420Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-08-14T21:35:32.5382721Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-08-14T21:35:32.5382941Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-08-14T21:35:32.5383135Z DASHBOARD_TAG: 2025-08-14T21:35:32.5383463Z HUGGING_FACE_HUB_TOKEN: *** 2025-08-14T21:35:32.5383740Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-08-14T21:35:32.5384120Z ARTIFACTS_FILE_SUFFIX: test-cpu_inductor_timm-1-2-linux.8xlarge.amx_48128301874 2025-08-14T21:35:32.5384431Z ##[endgroup] 2025-08-14T21:35:32.5407734Z + [[ cpu_inductor_timm == \m\u\l\t\i\g\p\u ]] 2025-08-14T21:35:32.5409530Z + [[ linux-jammy-py3.9-gcc11-build == *onnx* ]] 2025-08-14T21:35:32.5409927Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-08-14T21:35:32.5414718Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-08-14T21:35:32.5425871Z + TOTAL_AVAILABLE_MEMORY_IN_GB='122.780 ' 2025-08-14T21:35:32.5426256Z + TOTAL_MEMORY_WITH_SWAP=125 2025-08-14T21:35:32.5426643Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]] 2025-08-14T21:35:32.5427003Z + SHM_OPTS=--shm-size=1g 2025-08-14T21:35:32.5427595Z + JENKINS_USER='--user jenkins' 2025-08-14T21:35:32.5427835Z + DOCKER_SHELL_CMD= 2025-08-14T21:35:32.5432946Z +++ nproc --ignore=2 2025-08-14T21:35:32.5700138Z ++ 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 2025-08-14T21:35:43.1777826Z + container_name=15c4eda562fa25dae1d827bceb41c94b64c28c3c3c95c95e35207df2176ef02d 2025-08-14T21:35:43.1783181Z + docker exec -i 15c4eda562fa25dae1d827bceb41c94b64c28c3c3c95c95e35207df2176ef02d sudo bash -c '/bin/cat >> /etc/hosts' 2025-08-14T21:35:43.1783763Z + grep download.pytorch.org /etc/hosts 2025-08-14T21:35:43.3560342Z + echo DOCKER_CONTAINER_ID=15c4eda562fa25dae1d827bceb41c94b64c28c3c3c95c95e35207df2176ef02d 2025-08-14T21:35:43.3560812Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]] 2025-08-14T21:35:43.3564151Z ++ echo dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl 2025-08-14T21:35:43.3566527Z + docker exec -t 15c4eda562fa25dae1d827bceb41c94b64c28c3c3c95c95e35207df2176ef02d sh -c 'python3 -m pip install dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-08-14T21:35:43.6880584Z Processing ./dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl (from torch==2.9.0a0+git1fc683c) 2025-08-14T21:35:43.8978016Z 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) 2025-08-14T21:35:43.8979359Z 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) 2025-08-14T21:35:43.8982657Z 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) 2025-08-14T21:35:43.8983484Z 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) 2025-08-14T21:35:43.8985128Z 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) 2025-08-14T21:35:43.8991937Z 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) 2025-08-14T21:35:43.9006175Z 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) 2025-08-14T21:35:43.9283615Z 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) 2025-08-14T21:35:43.9300020Z 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) 2025-08-14T21:35:43.9346171Z 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) 2025-08-14T21:35:44.6615352Z Installing collected packages: torch 2025-08-14T21:35:51.4414008Z 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. 2025-08-14T21:35:51.4414852Z dall-e 0.1 requires torchvision, which is not installed. 2025-08-14T21:35:51.4415293Z effdet 0.4.1 requires torchvision, which is not installed. 2025-08-14T21:35:51.4415813Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-08-14T21:35:51.4416375Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-08-14T21:35:51.4417242Z timm 1.0.14 requires torchvision, which is not installed. 2025-08-14T21:35:51.4417602Z Successfully installed torch-2.9.0a0+git1fc683c 2025-08-14T21:35:51.5375767Z + export TERM=vt100 2025-08-14T21:35:51.5378044Z + TERM=vt100 2025-08-14T21:35:51.5378284Z ++ dirname .ci/pytorch/test.sh 2025-08-14T21:35:51.5385437Z + source .ci/pytorch/common.sh 2025-08-14T21:35:51.5391061Z +++ dirname .ci/pytorch/common.sh 2025-08-14T21:35:51.5397219Z ++ source .ci/pytorch/common_utils.sh 2025-08-14T21:35:51.5399302Z +++ declare -f -t trap_add 2025-08-14T21:35:51.5399634Z ++ set -ex -o pipefail 2025-08-14T21:35:51.5405671Z ++ [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-08-14T21:35:51.5407697Z ++ BUILD_TEST_LIBTORCH=0 2025-08-14T21:35:51.5408041Z ++ dirname .ci/pytorch/test.sh 2025-08-14T21:35:51.5411409Z + source .ci/pytorch/common-build.sh 2025-08-14T21:35:51.5412174Z ++ [[ linux-jammy-py3.9-gcc11-build != *win-* ]] 2025-08-14T21:35:51.5420182Z ++++ dirname .ci/pytorch/common-build.sh 2025-08-14T21:35:51.5424942Z +++ cd .ci/pytorch 2025-08-14T21:35:51.5428257Z +++ pwd -P 2025-08-14T21:35:51.5428606Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-08-14T21:35:51.5434234Z ++ [[ linux-jammy-py3.9-gcc11-build == *-pch* ]] 2025-08-14T21:35:51.5434650Z ++ which sccache 2025-08-14T21:35:51.5446446Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-08-14T21:35:51.5446907Z ++ sccache --stop-server 2025-08-14T21:35:51.5472367Z ++ true 2025-08-14T21:35:51.5473110Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-08-14T21:35:51.5478259Z ++ trap_add sccache_epilogue EXIT 2025-08-14T21:35:51.5478751Z ++ trap_add_cmd=sccache_epilogue 2025-08-14T21:35:51.5483606Z ++ shift 2025-08-14T21:35:51.5484052Z ++ for trap_add_name in "$@" 2025-08-14T21:35:51.5484309Z ++++ trap -p EXIT 2025-08-14T21:35:51.5492125Z +++ eval 'extract_trap_cmd ' 2025-08-14T21:35:51.5496992Z ++++ extract_trap_cmd 2025-08-14T21:35:51.5499164Z ++++ printf '%s\n' '' 2025-08-14T21:35:51.5499552Z +++ printf '%s\n' sccache_epilogue 2025-08-14T21:35:51.5499864Z ++ trap -- ' 2025-08-14T21:35:51.5500052Z sccache_epilogue' EXIT 2025-08-14T21:35:51.5500227Z ++ [[ -n 1 ]] 2025-08-14T21:35:51.5500627Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-08-14T21:35:51.5501126Z Skipping sccache server initialization, setting environment variables 2025-08-14T21:35:51.5501405Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:35:51.5501894Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:35:51.5502196Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:35:51.5502485Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:35:51.5502787Z ++ export RUST_LOG=sccache::server=error 2025-08-14T21:35:51.5503007Z ++ RUST_LOG=sccache::server=error 2025-08-14T21:35:51.5503208Z ++ sccache --zero-stats 2025-08-14T21:35:51.6879490Z Statistics zeroed. 2025-08-14T21:35:51.6888091Z ++ which ccache 2025-08-14T21:35:51.6918997Z + [[ linux-jammy-py3.9-gcc11-build != *rocm* ]] 2025-08-14T21:35:51.6923566Z + [[ linux-jammy-py3.9-gcc11-build != *s390x* ]] 2025-08-14T21:35:51.6925701Z + [[ -d /var/lib/jenkins/workspace ]] 2025-08-14T21:35:51.6925947Z ++ stat -c %u /var/lib/jenkins/workspace 2025-08-14T21:35:51.6933369Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-08-14T21:35:51.6933592Z + trap_add cleanup_workspace EXIT 2025-08-14T21:35:51.6933811Z + trap_add_cmd=cleanup_workspace 2025-08-14T21:35:51.6934012Z + shift 2025-08-14T21:35:51.6934181Z + for trap_add_name in "$@" 2025-08-14T21:35:51.6939500Z +++ trap -p EXIT 2025-08-14T21:35:51.6940297Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-08-14T21:35:51.6940736Z sccache_epilogue'\'' EXIT' 2025-08-14T21:35:51.6941060Z +++ extract_trap_cmd trap -- ' 2025-08-14T21:35:51.6941366Z sccache_epilogue' EXIT 2025-08-14T21:35:51.6941644Z +++ printf '%s\n' ' 2025-08-14T21:35:51.6941909Z sccache_epilogue' 2025-08-14T21:35:51.6942178Z ++ printf '%s\n' cleanup_workspace 2025-08-14T21:35:51.6942520Z + trap -- ' 2025-08-14T21:35:51.6942755Z sccache_epilogue 2025-08-14T21:35:51.6943271Z cleanup_workspace' EXIT 2025-08-14T21:35:51.6943616Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-08-14T21:35:52.1071093Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-08-14T21:35:52.1089992Z + echo 'Environment variables:' 2025-08-14T21:35:52.1092007Z Environment variables: 2025-08-14T21:35:52.1092361Z + env 2025-08-14T21:35:52.1100470Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:35:52.1100800Z CONTINUE_THROUGH_ERROR=True 2025-08-14T21:35:52.1101072Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build 2025-08-14T21:35:52.1101320Z HOSTNAME=15c4eda562fa 2025-08-14T21:35:52.1101741Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_44d5c182-9e94-4111-bb09-7278bec5a432 2025-08-14T21:35:52.1102116Z GITHUB_ACTION=__run_2 2025-08-14T21:35:52.1102308Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-08-14T21:35:52.1102803Z GITHUB_RUN_NUMBER=66307 2025-08-14T21:35:52.1103008Z TEST_CONFIG=cpu_inductor_timm 2025-08-14T21:35:52.1103243Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-08-14T21:35:52.1103491Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-08-14T21:35:52.1103718Z SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:35:52.1104346Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-08-14T21:35:52.1104587Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-08-14T21:35:52.1104820Z GITHUB_REF_TYPE=branch 2025-08-14T21:35:52.1105005Z TORCH_CUDA_ARCH_LIST=Maxwell 2025-08-14T21:35:52.1105238Z BASE_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:52.1105476Z XLA_CUDA= 2025-08-14T21:35:52.1105635Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-08-14T21:35:52.1105911Z HUGGING_FACE_HUB_TOKEN=*** 2025-08-14T21:35:52.1111623Z *** 2025-08-14T21:35:52.1111835Z GITHUB_REPOSITORY_ID=65600975 2025-08-14T21:35:52.1112044Z GITHUB_ACTIONS=true 2025-08-14T21:35:52.1112260Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:35:52.1112547Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:52.1112792Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:52.1113175Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-periodic.yml@refs/heads/main 2025-08-14T21:35:52.1113516Z UCC_HOME=/usr 2025-08-14T21:35:52.1113674Z VERBOSE_TEST_LOGS=False 2025-08-14T21:35:52.1113860Z GITHUB_REF=refs/heads/main 2025-08-14T21:35:52.1114043Z SHARD_NUMBER=1 2025-08-14T21:35:52.1114202Z GITHUB_REF_PROTECTED=true 2025-08-14T21:35:52.1114384Z HOME=/var/lib/jenkins 2025-08-14T21:35:52.1114580Z GITHUB_API_URL=https://api.github.com 2025-08-14T21:35:52.1114801Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-08-14T21:35:52.1114999Z UCX_COMMIT= 2025-08-14T21:35:52.1115149Z USE_SYSTEM_NCCL=1 2025-08-14T21:35:52.1115309Z NUM_TEST_SHARDS=2 2025-08-14T21:35:52.1115458Z UCX_HOME=/usr 2025-08-14T21:35:52.1115821Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_44d5c182-9e94-4111-bb09-7278bec5a432 2025-08-14T21:35:52.1116423Z JOB_NAME=linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_timm, 1, 2, linux.8xlarge.amx) 2025-08-14T21:35:52.1117001Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_44d5c182-9e94-4111-bb09-7278bec5a432 2025-08-14T21:35:52.1117495Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-08-14T21:35:52.1117810Z GITHUB_EVENT_NAME=schedule 2025-08-14T21:35:52.1118004Z DASHBOARD_TAG= 2025-08-14T21:35:52.1118156Z GITHUB_RUN_ID=16976338999 2025-08-14T21:35:52.1118333Z INSTALLED_OPENBLAS= 2025-08-14T21:35:52.1118705Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_44d5c182-9e94-4111-bb09-7278bec5a432 2025-08-14T21:35:52.1119119Z GITHUB_ACTOR=pytorchmergebot 2025-08-14T21:35:52.1119309Z PR_NUMBER= 2025-08-14T21:35:52.1119458Z DESIRED_CUDA= 2025-08-14T21:35:52.1119610Z GITHUB_RUN_ATTEMPT=1 2025-08-14T21:35:52.1119791Z ANACONDA_PYTHON_VERSION=3.9 2025-08-14T21:35:52.1120022Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-08-14T21:35:52.1120450Z TERM=vt100 2025-08-14T21:35:52.1120609Z INSTALLED_VISION=yes 2025-08-14T21:35:52.1120780Z BRANCH=main 2025-08-14T21:35:52.1120934Z SCCACHE_REGION=us-east-1 2025-08-14T21:35:52.1121129Z OPENSSL_ROOT_DIR=/opt/openssl 2025-08-14T21:35:52.1121326Z CUDA_PATH=/usr/local/cuda 2025-08-14T21:35:52.1121653Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-08-14T21:35:52.1122021Z GITHUB_SERVER_URL=https://github.com 2025-08-14T21:35:52.1122233Z UCC_COMMIT= 2025-08-14T21:35:52.1122384Z REENABLED_ISSUES= 2025-08-14T21:35:52.1122535Z DOCS=yes 2025-08-14T21:35:52.1122676Z SHLVL=1 2025-08-14T21:35:52.1122817Z MAX_JOBS=30 2025-08-14T21:35:52.1122962Z GITHUB_ACTOR_ID=97764156 2025-08-14T21:35:52.1123195Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:52.1123441Z GITHUB_REF_NAME=main 2025-08-14T21:35:52.1123749Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-08-14T21:35:52.1124027Z GITHUB_JOB=test 2025-08-14T21:35:52.1124196Z NO_TEST_TIMEOUT=False 2025-08-14T21:35:52.1124360Z TD_DISTRIBUTED=False 2025-08-14T21:35:52.1124542Z GITHUB_REPOSITORY=pytorch/pytorch 2025-08-14T21:35:52.1124773Z GITHUB_RETENTION_DAYS=90 2025-08-14T21:35:52.1124958Z OPENSSL_DIR=/opt/openssl 2025-08-14T21:35:52.1125138Z GITHUB_ACTION_REPOSITORY= 2025-08-14T21:35:52.1125629Z 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 2025-08-14T21:35:52.1126097Z GITHUB_BASE_REF= 2025-08-14T21:35:52.1126249Z INSTALLED_ACL= 2025-08-14T21:35:52.1126499Z ARTIFACTS_FILE_SUFFIX=test-cpu_inductor_timm-1-2-linux.8xlarge.amx_48128301874 2025-08-14T21:35:52.1126797Z CI=true 2025-08-14T21:35:52.1126951Z GITHUB_REPOSITORY_OWNER=pytorch 2025-08-14T21:35:52.1127182Z RUST_LOG=sccache::server=error 2025-08-14T21:35:52.1127366Z JOB_ID=48128301874 2025-08-14T21:35:52.1127526Z GITHUB_HEAD_REF= 2025-08-14T21:35:52.1127677Z GITHUB_ACTION_REF= 2025-08-14T21:35:52.1127882Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-08-14T21:35:52.1128111Z TEST_SHOWLOCALS=False 2025-08-14T21:35:52.1128286Z GITHUB_WORKFLOW=inductor-periodic 2025-08-14T21:35:52.1128488Z DEBIAN_FRONTEND=noninteractive 2025-08-14T21:35:52.1128862Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_44d5c182-9e94-4111-bb09-7278bec5a432 2025-08-14T21:35:52.1129227Z NO_TD=False 2025-08-14T21:35:52.1129383Z SKIP_SCCACHE_INITIALIZATION=1 2025-08-14T21:35:52.1129584Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-08-14T21:35:52.1129783Z _=/usr/bin/env 2025-08-14T21:35:52.1129990Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-08-14T21:35:52.1350691Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch 2025-08-14T21:35:52.1352847Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/bin 2025-08-14T21:35:52.1353261Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib 2025-08-14T21:35:52.1353661Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/test 2025-08-14T21:35:52.1353966Z + BUILD_DIR=build 2025-08-14T21:35:52.1354159Z + BUILD_RENAMED_DIR=build_renamed 2025-08-14T21:35:52.1354372Z + BUILD_BIN_DIR=build/bin 2025-08-14T21:35:52.1354579Z + SHARD_NUMBER=1 2025-08-14T21:35:52.1354755Z + NUM_TEST_SHARDS=2 2025-08-14T21:35:52.1354950Z + export TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:35:52.1355183Z + TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:35:52.1355386Z + export VALGRIND=ON 2025-08-14T21:35:52.1355559Z + VALGRIND=ON 2025-08-14T21:35:52.1355766Z + [[ linux-jammy-py3.9-gcc11-build == *clang9* ]] 2025-08-14T21:35:52.1356041Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-08-14T21:35:52.1356299Z + [[ linux-jammy-py3.9-gcc11-build == *s390x* ]] 2025-08-14T21:35:52.1356530Z + [[ 0 == \1 ]] 2025-08-14T21:35:52.1356698Z + [[ True == \1 ]] 2025-08-14T21:35:52.1356900Z + [[ linux-jammy-py3.9-gcc11-build != *bazel* ]] 2025-08-14T21:35:52.1357145Z ++ realpath build/custom_test_artifacts 2025-08-14T21:35:52.1359324Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-08-14T21:35:52.1359638Z + [[ -n '' ]] 2025-08-14T21:35:52.1359799Z + echo 'Environment variables' 2025-08-14T21:35:52.1359988Z Environment variables 2025-08-14T21:35:52.1360153Z + env 2025-08-14T21:35:52.1378948Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:35:52.1379251Z CONTINUE_THROUGH_ERROR=True 2025-08-14T21:35:52.1379490Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build 2025-08-14T21:35:52.1379732Z HOSTNAME=15c4eda562fa 2025-08-14T21:35:52.1380101Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_44d5c182-9e94-4111-bb09-7278bec5a432 2025-08-14T21:35:52.1380494Z GITHUB_ACTION=__run_2 2025-08-14T21:35:52.1380687Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-08-14T21:35:52.1380900Z GITHUB_RUN_NUMBER=66307 2025-08-14T21:35:52.1381227Z TEST_CONFIG=cpu_inductor_timm 2025-08-14T21:35:52.1381453Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-08-14T21:35:52.1381677Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-08-14T21:35:52.1381894Z SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:35:52.1382313Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-08-14T21:35:52.1382524Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-08-14T21:35:52.1382788Z GITHUB_REF_TYPE=branch 2025-08-14T21:35:52.1382963Z TORCH_CUDA_ARCH_LIST=Maxwell 2025-08-14T21:35:52.1383181Z BASE_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:52.1383402Z XLA_CUDA= 2025-08-14T21:35:52.1383561Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-08-14T21:35:52.1383828Z HUGGING_FACE_HUB_TOKEN=*** 2025-08-14T21:35:52.1384222Z *** 2025-08-14T21:35:52.1384390Z GITHUB_REPOSITORY_ID=65600975 2025-08-14T21:35:52.1384570Z GITHUB_ACTIONS=true 2025-08-14T21:35:52.1384773Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:35:52.1385037Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:52.1385265Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:52.1385616Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-periodic.yml@refs/heads/main 2025-08-14T21:35:52.1385949Z UCC_HOME=/usr 2025-08-14T21:35:52.1386107Z TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:35:52.1386299Z VERBOSE_TEST_LOGS=False 2025-08-14T21:35:52.1386480Z GITHUB_REF=refs/heads/main 2025-08-14T21:35:52.1386651Z SHARD_NUMBER=1 2025-08-14T21:35:52.1386817Z GITHUB_REF_PROTECTED=true 2025-08-14T21:35:52.1386997Z HOME=/var/lib/jenkins 2025-08-14T21:35:52.1387196Z GITHUB_API_URL=https://api.github.com 2025-08-14T21:35:52.1387412Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-08-14T21:35:52.1387607Z UCX_COMMIT= 2025-08-14T21:35:52.1387760Z USE_SYSTEM_NCCL=1 2025-08-14T21:35:52.1387915Z NUM_TEST_SHARDS=2 2025-08-14T21:35:52.1388072Z UCX_HOME=/usr 2025-08-14T21:35:52.1388422Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_44d5c182-9e94-4111-bb09-7278bec5a432 2025-08-14T21:35:52.1389011Z JOB_NAME=linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_timm, 1, 2, linux.8xlarge.amx) 2025-08-14T21:35:52.1389595Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_44d5c182-9e94-4111-bb09-7278bec5a432 2025-08-14T21:35:52.1390085Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-08-14T21:35:52.1390396Z GITHUB_EVENT_NAME=schedule 2025-08-14T21:35:52.1390571Z DASHBOARD_TAG= 2025-08-14T21:35:52.1390734Z GITHUB_RUN_ID=16976338999 2025-08-14T21:35:52.1390911Z INSTALLED_OPENBLAS= 2025-08-14T21:35:52.1391285Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_44d5c182-9e94-4111-bb09-7278bec5a432 2025-08-14T21:35:52.1391698Z GITHUB_ACTOR=pytorchmergebot 2025-08-14T21:35:52.1391885Z PR_NUMBER= 2025-08-14T21:35:52.1392028Z DESIRED_CUDA= 2025-08-14T21:35:52.1392192Z GITHUB_RUN_ATTEMPT=1 2025-08-14T21:35:52.1392361Z VALGRIND=ON 2025-08-14T21:35:52.1392517Z ANACONDA_PYTHON_VERSION=3.9 2025-08-14T21:35:52.1392741Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-08-14T21:35:52.1393059Z TERM=vt100 2025-08-14T21:35:52.1393211Z INSTALLED_VISION=yes 2025-08-14T21:35:52.1393369Z BRANCH=main 2025-08-14T21:35:52.1393526Z SCCACHE_REGION=us-east-1 2025-08-14T21:35:52.1393718Z OPENSSL_ROOT_DIR=/opt/openssl 2025-08-14T21:35:52.1393904Z CUDA_PATH=/usr/local/cuda 2025-08-14T21:35:52.1394237Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-08-14T21:35:52.1394599Z GITHUB_SERVER_URL=https://github.com 2025-08-14T21:35:52.1394794Z UCC_COMMIT= 2025-08-14T21:35:52.1394948Z REENABLED_ISSUES= 2025-08-14T21:35:52.1395109Z DOCS=yes 2025-08-14T21:35:52.1395249Z SHLVL=1 2025-08-14T21:35:52.1395391Z MAX_JOBS=30 2025-08-14T21:35:52.1395543Z GITHUB_ACTOR_ID=97764156 2025-08-14T21:35:52.1395766Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:35:52.1396011Z GITHUB_REF_NAME=main 2025-08-14T21:35:52.1396315Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-08-14T21:35:52.1396587Z GITHUB_JOB=test 2025-08-14T21:35:52.1396750Z NO_TEST_TIMEOUT=False 2025-08-14T21:35:52.1396921Z TD_DISTRIBUTED=False 2025-08-14T21:35:52.1397093Z GITHUB_REPOSITORY=pytorch/pytorch 2025-08-14T21:35:52.1397297Z GITHUB_RETENTION_DAYS=90 2025-08-14T21:35:52.1397480Z OPENSSL_DIR=/opt/openssl 2025-08-14T21:35:52.1397660Z GITHUB_ACTION_REPOSITORY= 2025-08-14T21:35:52.1398146Z 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 2025-08-14T21:35:52.1398604Z GITHUB_BASE_REF= 2025-08-14T21:35:52.1398770Z INSTALLED_ACL= 2025-08-14T21:35:52.1399004Z ARTIFACTS_FILE_SUFFIX=test-cpu_inductor_timm-1-2-linux.8xlarge.amx_48128301874 2025-08-14T21:35:52.1399274Z CI=true 2025-08-14T21:35:52.1399424Z GITHUB_REPOSITORY_OWNER=pytorch 2025-08-14T21:35:52.1399655Z RUST_LOG=sccache::server=error 2025-08-14T21:35:52.1399833Z JOB_ID=48128301874 2025-08-14T21:35:52.1399988Z GITHUB_HEAD_REF= 2025-08-14T21:35:52.1400136Z GITHUB_ACTION_REF= 2025-08-14T21:35:52.1400330Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-08-14T21:35:52.1400559Z TEST_SHOWLOCALS=False 2025-08-14T21:35:52.1400729Z GITHUB_WORKFLOW=inductor-periodic 2025-08-14T21:35:52.1400915Z DEBIAN_FRONTEND=noninteractive 2025-08-14T21:35:52.1401276Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_44d5c182-9e94-4111-bb09-7278bec5a432 2025-08-14T21:35:52.1401634Z NO_TD=False 2025-08-14T21:35:52.1401822Z SKIP_SCCACHE_INITIALIZATION=1 2025-08-14T21:35:52.1402021Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-08-14T21:35:52.1402210Z _=/usr/bin/env 2025-08-14T21:35:52.1402355Z + echo 'Testing pytorch' 2025-08-14T21:35:52.1402519Z Testing pytorch 2025-08-14T21:35:52.1402690Z + export LANG=C.UTF-8 2025-08-14T21:35:52.1402838Z + LANG=C.UTF-8 2025-08-14T21:35:52.1403001Z + PR_NUMBER= 2025-08-14T21:35:52.1403160Z + [[ cpu_inductor_timm == \d\e\f\a\u\l\t ]] 2025-08-14T21:35:52.1403375Z + [[ cpu_inductor_timm == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-08-14T21:35:52.1403585Z + [[ cpu_inductor_timm == \s\l\o\w ]] 2025-08-14T21:35:52.1403822Z + [[ linux-jammy-py3.9-gcc11-build == *slow-gradcheck* ]] 2025-08-14T21:35:52.1404078Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-08-14T21:35:52.1404299Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-08-14T21:35:52.1404526Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-08-14T21:35:52.1404740Z + [[ cpu_inductor_timm == *crossref* ]] 2025-08-14T21:35:52.1404945Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-08-14T21:35:52.1405172Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-08-14T21:35:52.1405407Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]] 2025-08-14T21:35:52.1405622Z + pip_install ninja==1.10.2 2025-08-14T21:35:52.1405859Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-08-14T21:35:52.1406146Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-08-14T21:35:52.5030967Z Collecting ninja==1.10.2 2025-08-14T21:35:52.5134953Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-08-14T21:35:52.5253565Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-08-14T21:35:53.2366157Z Installing collected packages: ninja 2025-08-14T21:35:53.2366518Z Attempting uninstall: ninja 2025-08-14T21:35:53.2373145Z Found existing installation: ninja 1.11.1.3 2025-08-14T21:35:53.2388531Z Uninstalling ninja-1.11.1.3: 2025-08-14T21:35:53.2437667Z Successfully uninstalled ninja-1.11.1.3 2025-08-14T21:35:53.2893531Z Successfully installed ninja-1.10.2 2025-08-14T21:35:53.3840560Z + 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 2025-08-14T21:35:53.3842372Z + 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 2025-08-14T21:35:53.3842935Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]] 2025-08-14T21:35:53.3843189Z + [[ linux-jammy-py3.9-gcc11-build == *asan* ]] 2025-08-14T21:35:53.3843526Z + [[ linux-jammy-py3.9-gcc11-build == *-debug* ]] 2025-08-14T21:35:53.3847764Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]] 2025-08-14T21:35:53.3849837Z + echo 'We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass' 2025-08-14T21:35:53.3850388Z We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass 2025-08-14T21:35:53.3854419Z + cd test 2025-08-14T21:35:53.3856731Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-08-14T21:35:54.4843976Z + [[ cpu_inductor_timm == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-08-14T21:35:54.4848558Z + [[ cpu_inductor_timm == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-08-14T21:35:54.4852484Z + [[ cpu_inductor_timm == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-08-14T21:35:54.4856360Z + DYNAMO_BENCHMARK_FLAGS=() 2025-08-14T21:35:54.4858181Z + [[ cpu_inductor_timm == *pr_time_benchmarks* ]] 2025-08-14T21:35:54.4858425Z + [[ cpu_inductor_timm == *dynamo_eager* ]] 2025-08-14T21:35:54.4858648Z + [[ cpu_inductor_timm == *aot_eager* ]] 2025-08-14T21:35:54.4858849Z + [[ cpu_inductor_timm == *aot_inductor* ]] 2025-08-14T21:35:54.4859070Z + [[ cpu_inductor_timm == *max_autotune_inductor* ]] 2025-08-14T21:35:54.4859285Z + [[ cpu_inductor_timm == *inductor* ]] 2025-08-14T21:35:54.4859479Z + [[ cpu_inductor_timm != *perf* ]] 2025-08-14T21:35:54.4859701Z + DYNAMO_BENCHMARK_FLAGS+=(--inductor) 2025-08-14T21:35:54.4859905Z + [[ cpu_inductor_timm == *dynamic* ]] 2025-08-14T21:35:54.4860093Z + [[ cpu_inductor_timm == *cpu* ]] 2025-08-14T21:35:54.4860291Z + DYNAMO_BENCHMARK_FLAGS+=(--device cpu) 2025-08-14T21:35:54.4912255Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]] 2025-08-14T21:35:54.4916346Z + [[ linux-jammy-py3.9-gcc11-build == *-bazel-* ]] 2025-08-14T21:35:54.4920822Z + cd test 2025-08-14T21:35:54.4925414Z + python -c 'import torch; print(torch.__config__.show())' 2025-08-14T21:35:55.3940199Z PyTorch built with: 2025-08-14T21:35:55.3942275Z - GCC 11.4 2025-08-14T21:35:55.3942896Z - C++ Version: 201703 2025-08-14T21:35:55.3943325Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-08-14T21:35:55.3943773Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-08-14T21:35:55.3944166Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-08-14T21:35:55.3944433Z - LAPACK is enabled (usually provided by MKL) 2025-08-14T21:35:55.3944677Z - NNPACK is enabled 2025-08-14T21:35:55.3944871Z - CPU capability usage: AVX512 2025-08-14T21:35:55.3947611Z - 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, 2025-08-14T21:35:55.3950760Z 2025-08-14T21:35:55.5756943Z + cd test 2025-08-14T21:35:55.5761531Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-08-14T21:35:56.4964344Z ATen/Parallel: 2025-08-14T21:35:56.4967325Z at::get_num_threads() : 16 2025-08-14T21:35:56.4967755Z at::get_num_interop_threads() : 16 2025-08-14T21:35:56.4968072Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-08-14T21:35:56.4968395Z omp_get_max_threads() : 16 2025-08-14T21:35:56.4968857Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-08-14T21:35:56.4969232Z mkl_get_max_threads() : 16 2025-08-14T21:35:56.4969493Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-08-14T21:35:56.4969772Z std::thread::hardware_concurrency() : 32 2025-08-14T21:35:56.4969993Z Environment variables: 2025-08-14T21:35:56.4970180Z OMP_NUM_THREADS : [not set] 2025-08-14T21:35:56.4970356Z MKL_NUM_THREADS : [not set] 2025-08-14T21:35:56.4970580Z ATen parallel backend: OpenMP 2025-08-14T21:35:56.4970697Z 2025-08-14T21:35:56.7023912Z + [[ cpu_inductor_timm == *numpy_2* ]] 2025-08-14T21:35:56.7024383Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]] 2025-08-14T21:35:56.7024648Z + [[ cpu_inductor_timm == *backward* ]] 2025-08-14T21:35:56.7024876Z + [[ cpu_inductor_timm == *xla* ]] 2025-08-14T21:35:56.7025101Z + [[ cpu_inductor_timm == *executorch* ]] 2025-08-14T21:35:56.7025339Z + [[ cpu_inductor_timm == \j\i\t\_\l\e\g\a\c\y ]] 2025-08-14T21:35:56.7025604Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]] 2025-08-14T21:35:56.7025863Z + [[ cpu_inductor_timm == distributed ]] 2025-08-14T21:35:56.7026084Z + [[ cpu_inductor_timm == *operator_benchmark* ]] 2025-08-14T21:35:56.7026323Z + [[ cpu_inductor_timm == *inductor_distributed* ]] 2025-08-14T21:35:56.7026562Z + [[ cpu_inductor_timm == *inductor-halide* ]] 2025-08-14T21:35:56.7026810Z + [[ cpu_inductor_timm == *inductor-triton-cpu* ]] 2025-08-14T21:35:56.7027080Z + [[ cpu_inductor_timm == *inductor-micro-benchmark* ]] 2025-08-14T21:35:56.7027323Z + [[ cpu_inductor_timm == *huggingface* ]] 2025-08-14T21:35:56.7027539Z + [[ cpu_inductor_timm == *timm* ]] 2025-08-14T21:35:56.7027731Z + install_torchvision 2025-08-14T21:35:56.7027907Z + local orig_preload 2025-08-14T21:35:56.7028075Z + local commit 2025-08-14T21:35:56.7028235Z ++ get_pinned_commit vision 2025-08-14T21:35:56.7028434Z ++ cat .github/ci_commit_pins/vision.txt 2025-08-14T21:35:56.7416840Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:35:56.7417677Z + orig_preload= 2025-08-14T21:35:56.7417934Z + '[' -n '' ']' 2025-08-14T21:35:56.7418194Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-08-14T21:35:56.7418712Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-08-14T21:35:56.7419297Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:35:56.7419757Z + local wheel_dir=dist/vision 2025-08-14T21:35:56.7419999Z + local found_whl=0 2025-08-14T21:35:56.7420193Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:35:56.7420841Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl ]] 2025-08-14T21:35:56.7421163Z + found_whl=1 2025-08-14T21:35:56.7421324Z + break 2025-08-14T21:35:56.7421484Z + '[' 1 == 0 ']' 2025-08-14T21:35:56.7421676Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:35:56.7422019Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:35:56.7422471Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl') 2025-08-14T21:35:56.7422786Z + local args 2025-08-14T21:35:56.7423070Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl == *\ * ]] 2025-08-14T21:35:56.7423407Z + for path in "${args[@]}" 2025-08-14T21:35:56.7423740Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl' 2025-08-14T21:35:56.7424475Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:35:56.7425009Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:35:57.0295018Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:35:57.0376132Z Installing collected packages: torchvision 2025-08-14T21:35:57.6340701Z Successfully installed torchvision-0.22.0a0+966da7e 2025-08-14T21:35:57.6728562Z + '[' -n '' ']' 2025-08-14T21:35:57.6729962Z + id=0 2025-08-14T21:35:57.6730280Z + test_dynamo_benchmark timm_models 0 2025-08-14T21:35:57.6736766Z ++ pwd 2025-08-14T21:35:57.6741660Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-08-14T21:35:57.6745967Z + local suite=timm_models 2025-08-14T21:35:57.6747856Z + shift 2025-08-14T21:35:57.6748160Z + local shard_id=0 2025-08-14T21:35:57.6753801Z + shift 2025-08-14T21:35:57.6756365Z + [[ cpu_inductor_timm == *perf_compare* ]] 2025-08-14T21:35:57.6756858Z + [[ cpu_inductor_timm == *perf* ]] 2025-08-14T21:35:57.6757202Z + [[ cpu_inductor_timm == *cpu* ]] 2025-08-14T21:35:57.6761901Z + local dt=float32 2025-08-14T21:35:57.6767333Z + [[ cpu_inductor_timm == *amp* ]] 2025-08-14T21:35:57.6769305Z + [[ cpu_inductor_timm == *freezing* ]] 2025-08-14T21:35:57.6769647Z + test_single_dynamo_benchmark inference timm_models 0 --inference --float32 2025-08-14T21:35:57.6769933Z ++ pwd 2025-08-14T21:35:57.6770151Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-08-14T21:35:57.6770432Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-08-14T21:35:57.6770661Z + local name=inference 2025-08-14T21:35:57.6770825Z + shift 2025-08-14T21:35:57.6770969Z + local suite=timm_models 2025-08-14T21:35:57.6771138Z + shift 2025-08-14T21:35:57.6771278Z + local shard_id=0 2025-08-14T21:35:57.6771421Z + shift 2025-08-14T21:35:57.6771562Z + partition_flags=() 2025-08-14T21:35:57.6771729Z + local partition_flags 2025-08-14T21:35:57.6771885Z + [[ -n 2 ]] 2025-08-14T21:35:57.6772028Z + [[ -n 0 ]] 2025-08-14T21:35:57.6772295Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-08-14T21:35:57.6772603Z + [[ cpu_inductor_timm == *perf_compare* ]] 2025-08-14T21:35:57.6772815Z + [[ cpu_inductor_timm == *perf* ]] 2025-08-14T21:35:57.6773015Z + [[ cpu_inductor_timm == *_avx2* ]] 2025-08-14T21:35:57.6773214Z + [[ cpu_inductor_timm == *_avx512* ]] 2025-08-14T21:35:57.6773898Z + python benchmarks/dynamo/timm_models.py --ci --accuracy --timing --explain --print-compilation-time --inductor --device cpu --inference --float32 --total-partitions 2 --partition-id 0 --output /var/lib/jenkins/workspace/test/test-reports/inference_timm_models.csv 2025-08-14T21:36:03.8827347Z 2025-08-14T21:36:04.1403413Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:36:04.1403806Z 2025-08-14T21:36:04.2531681Z model.safetensors: 0% 0.00/95.5M [00:00 [B, N, h, Ch] -> [B, N, C] 2025-08-14T21:39:27.9329108Z 2025-08-14T21:39:27.9329226Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9329602Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9329944Z return mod(*inputs) 2025-08-14T21:39:27.9330249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9330585Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9330942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:39:27.9331309Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:39:27.9331639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9331953Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9332276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 134, in forward 2025-08-14T21:39:27.9332587Z x = self.proj(x) 2025-08-14T21:39:27.9332689Z 2025-08-14T21:39:27.9332800Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9333153Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9333476Z return mod(*inputs) 2025-08-14T21:39:27.9333765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9334081Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9334427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:39:27.9334773Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:39:27.9335070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:39:27.9335391Z cur = self.mlp(cur) 2025-08-14T21:39:27.9335700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:39:27.9336024Z x = self.fc1(x) 2025-08-14T21:39:27.9336125Z 2025-08-14T21:39:27.9336234Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9336620Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9336962Z return mod(*inputs) 2025-08-14T21:39:27.9337266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9337602Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9337965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:39:27.9338349Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:39:27.9338654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:39:27.9338980Z cur = self.mlp(cur) 2025-08-14T21:39:27.9339284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:39:27.9339605Z x = self.act(x) 2025-08-14T21:39:27.9339704Z 2025-08-14T21:39:27.9339812Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9340194Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9340534Z return mod(*inputs) 2025-08-14T21:39:27.9340828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9341203Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9341572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:39:27.9341957Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:39:27.9342273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:39:27.9342605Z cur = self.mlp(cur) 2025-08-14T21:39:27.9342910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:39:27.9343226Z x = self.fc2(x) 2025-08-14T21:39:27.9343332Z 2025-08-14T21:39:27.9343439Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9343819Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9344160Z return mod(*inputs) 2025-08-14T21:39:27.9344548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9344887Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9345253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:39:27.9345624Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:39:27.9345950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 220, in forward 2025-08-14T21:39:27.9346293Z x = x + self.drop_path(cur) 2025-08-14T21:39:27.9346414Z 2025-08-14T21:39:27.9346534Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9346921Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9347268Z return mod(*inputs) 2025-08-14T21:39:27.9347583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9347925Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9348291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:39:27.9348667Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:39:27.9348992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:39:27.9349369Z x = self.cpe(x, size) 2025-08-14T21:39:27.9349688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-08-14T21:39:27.9350033Z x = self.proj(feat) + feat 2025-08-14T21:39:27.9350156Z 2025-08-14T21:39:27.9350243Z cudagraph partition due to non gpu ops 2025-08-14T21:39:27.9350480Z cudagraph partition due to non gpu ops 2025-08-14T21:39:27.9350732Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9351114Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9351455Z return mod(*inputs) 2025-08-14T21:39:27.9351763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9352133Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9352490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:39:27.9352851Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:39:27.9353166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:39:27.9353488Z x = self.cpe(x, size) 2025-08-14T21:39:27.9353799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 162, in forward 2025-08-14T21:39:27.9354136Z x = torch.cat((cls_token, x), dim=1) 2025-08-14T21:39:27.9354275Z 2025-08-14T21:39:27.9354393Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9354769Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9355111Z return mod(*inputs) 2025-08-14T21:39:27.9355474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9355826Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9356503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:39:27.9356880Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:39:27.9357204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9357550Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9357901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 118, in forward 2025-08-14T21:39:27.9358344Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:39:27.9358575Z 2025-08-14T21:39:27.9358696Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9359080Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9359435Z return mod(*inputs) 2025-08-14T21:39:27.9359752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9360097Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9360466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:39:27.9360834Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:39:27.9361159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9361503Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9361851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:39:27.9362195Z k_softmax = k.softmax(dim=2) 2025-08-14T21:39:27.9362328Z 2025-08-14T21:39:27.9362441Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9362838Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9363205Z return mod(*inputs) 2025-08-14T21:39:27.9363519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9363871Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9364244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:39:27.9364625Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:39:27.9364921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9365255Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9365584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:39:27.9365910Z k_softmax = k.softmax(dim=2) 2025-08-14T21:39:27.9366033Z 2025-08-14T21:39:27.9366143Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9366533Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9366860Z return mod(*inputs) 2025-08-14T21:39:27.9367142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9367465Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9367807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:39:27.9368150Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:39:27.9368438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9368759Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9369080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:39:27.9369425Z k_softmax = k.softmax(dim=2) 2025-08-14T21:39:27.9369553Z 2025-08-14T21:39:27.9369657Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9370049Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9370379Z return mod(*inputs) 2025-08-14T21:39:27.9370661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9370983Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9371328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:39:27.9371663Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:39:27.9371962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9372289Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9372609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:39:27.9372920Z k_softmax = k.softmax(dim=2) 2025-08-14T21:39:27.9373048Z 2025-08-14T21:39:27.9373152Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9373515Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9373838Z return mod(*inputs) 2025-08-14T21:39:27.9374121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9374436Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9374780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:39:27.9375112Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:39:27.9375412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9375734Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9376050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:39:27.9376395Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:39:27.9376556Z 2025-08-14T21:39:27.9376661Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9377021Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9377341Z return mod(*inputs) 2025-08-14T21:39:27.9377633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9377956Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9378302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:39:27.9378871Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:39:27.9379171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9379500Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9379814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:39:27.9380194Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:39:27.9380342Z 2025-08-14T21:39:27.9380454Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9380811Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9381125Z return mod(*inputs) 2025-08-14T21:39:27.9381413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9381737Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9382073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:39:27.9382416Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:39:27.9382770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9383092Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9383407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:39:27.9383753Z factor_att = q @ factor_att 2025-08-14T21:39:27.9383866Z 2025-08-14T21:39:27.9383989Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9384420Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9384787Z return mod(*inputs) 2025-08-14T21:39:27.9385104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9385463Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9385843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:39:27.9386213Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:39:27.9386536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9386877Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9387232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:39:27.9387577Z factor_att = q @ factor_att 2025-08-14T21:39:27.9387698Z 2025-08-14T21:39:27.9387832Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9388191Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9388529Z return mod(*inputs) 2025-08-14T21:39:27.9388835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9389172Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9389519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:39:27.9389867Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:39:27.9390171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9390490Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9390814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:39:27.9391158Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:39:27.9391494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:39:27.9391833Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:39:27.9391986Z 2025-08-14T21:39:27.9392090Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9392452Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9392774Z return mod(*inputs) 2025-08-14T21:39:27.9393082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9393424Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9393802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:39:27.9394147Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:39:27.9394448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9394774Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9395088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:39:27.9395431Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:39:27.9395771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:39:27.9396099Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:39:27.9396252Z 2025-08-14T21:39:27.9396396Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9396754Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9397103Z return mod(*inputs) 2025-08-14T21:39:27.9397387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9397712Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9398055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:39:27.9398388Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:39:27.9398690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9399013Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9399335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:39:27.9399667Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:39:27.9400011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:39:27.9400346Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:39:27.9400492Z 2025-08-14T21:39:27.9400581Z cudagraph partition due to non gpu ops 2025-08-14T21:39:27.9400794Z cudagraph partition due to non gpu ops 2025-08-14T21:39:27.9401010Z cudagraph partition due to non gpu ops 2025-08-14T21:39:27.9401251Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9401605Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9401930Z return mod(*inputs) 2025-08-14T21:39:27.9402224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9402537Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9402884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:39:27.9403231Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:39:27.9403534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9403852Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9404174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:39:27.9404516Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:39:27.9404842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 82, in forward 2025-08-14T21:39:27.9405178Z conv_v_img = torch.cat(conv_v_img_list, dim=1) 2025-08-14T21:39:27.9405334Z 2025-08-14T21:39:27.9405439Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9405797Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9406114Z return mod(*inputs) 2025-08-14T21:39:27.9406407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9406746Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9407081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:39:27.9407425Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:39:27.9407724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9408051Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9408368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 131, in forward 2025-08-14T21:39:27.9408760Z x = x.transpose(1, 2).reshape(B, N, C) # [B, h, N, Ch] -> [B, N, h, Ch] -> [B, N, C] 2025-08-14T21:39:27.9408956Z 2025-08-14T21:39:27.9409066Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9409485Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9409811Z return mod(*inputs) 2025-08-14T21:39:27.9410105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9410448Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9410784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:39:27.9411136Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:39:27.9411427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9411739Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9412042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 134, in forward 2025-08-14T21:39:27.9412351Z x = self.proj(x) 2025-08-14T21:39:27.9412448Z 2025-08-14T21:39:27.9412556Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9412902Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9413218Z return mod(*inputs) 2025-08-14T21:39:27.9413501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9413813Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9414137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:39:27.9414471Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:39:27.9414759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:39:27.9415056Z cur = self.mlp(cur) 2025-08-14T21:39:27.9415337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:39:27.9415637Z x = self.fc1(x) 2025-08-14T21:39:27.9415727Z 2025-08-14T21:39:27.9415834Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9416182Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9416494Z return mod(*inputs) 2025-08-14T21:39:27.9416776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9417078Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9417416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:39:27.9417758Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:39:27.9418056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:39:27.9418359Z cur = self.mlp(cur) 2025-08-14T21:39:27.9418643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:39:27.9418947Z x = self.act(x) 2025-08-14T21:39:27.9419042Z 2025-08-14T21:39:27.9419144Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9419507Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9419854Z return mod(*inputs) 2025-08-14T21:39:27.9420140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9420455Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9420793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 577, in forward_features 2025-08-14T21:39:27.9421136Z x1 = blk(x1, size=(H1, W1)) 2025-08-14T21:39:27.9421428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:39:27.9421736Z cur = self.mlp(cur) 2025-08-14T21:39:27.9422024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:39:27.9422330Z x = self.fc2(x) 2025-08-14T21:39:27.9422425Z 2025-08-14T21:39:27.9422565Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9422931Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9423278Z return mod(*inputs) 2025-08-14T21:39:27.9423562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9423885Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9424336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 578, in forward_features 2025-08-14T21:39:27.9424813Z x1_nocls = remove_cls(x1).reshape(B, H1, W1, -1).permute(0, 3, 1, 2).contiguous() 2025-08-14T21:39:27.9425038Z 2025-08-14T21:39:27.9425154Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9425552Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9425900Z return mod(*inputs) 2025-08-14T21:39:27.9426205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9426536Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9426900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 581, in forward_features 2025-08-14T21:39:27.9427273Z x2 = self.patch_embed2(x1_nocls) 2025-08-14T21:39:27.9427627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-08-14T21:39:27.9427980Z x = self.proj(x) 2025-08-14T21:39:27.9428084Z 2025-08-14T21:39:27.9428202Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9428571Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9428910Z return mod(*inputs) 2025-08-14T21:39:27.9429225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9429570Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9429923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 581, in forward_features 2025-08-14T21:39:27.9430291Z x2 = self.patch_embed2(x1_nocls) 2025-08-14T21:39:27.9430645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 136, in forward 2025-08-14T21:39:27.9430986Z x = self.norm(x) 2025-08-14T21:39:27.9431097Z 2025-08-14T21:39:27.9431206Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9431592Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9431945Z return mod(*inputs) 2025-08-14T21:39:27.9432253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9432589Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9432944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 583, in forward_features 2025-08-14T21:39:27.9433322Z x2 = insert_cls(x2, self.cls_token2) 2025-08-14T21:39:27.9433721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 677, in insert_cls 2025-08-14T21:39:27.9434076Z x = torch.cat((cls_tokens, x), dim=1) 2025-08-14T21:39:27.9434217Z 2025-08-14T21:39:27.9434335Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9434705Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9435044Z return mod(*inputs) 2025-08-14T21:39:27.9435352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9435683Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9436046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9436412Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9436773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:39:27.9437099Z x = self.cpe(x, size) 2025-08-14T21:39:27.9437416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-08-14T21:39:27.9437771Z x = self.proj(feat) + feat 2025-08-14T21:39:27.9437896Z 2025-08-14T21:39:27.9437983Z cudagraph partition due to non gpu ops 2025-08-14T21:39:27.9438213Z cudagraph partition due to non gpu ops 2025-08-14T21:39:27.9438469Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9438849Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9439185Z return mod(*inputs) 2025-08-14T21:39:27.9439491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9439832Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9440191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9440555Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9440872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:39:27.9441206Z x = self.cpe(x, size) 2025-08-14T21:39:27.9441494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 162, in forward 2025-08-14T21:39:27.9441811Z x = torch.cat((cls_token, x), dim=1) 2025-08-14T21:39:27.9441941Z 2025-08-14T21:39:27.9442050Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9442401Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9442725Z return mod(*inputs) 2025-08-14T21:39:27.9443016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9443334Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9443671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9444013Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9444313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9444627Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9444956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 118, in forward 2025-08-14T21:39:27.9445362Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:39:27.9445574Z 2025-08-14T21:39:27.9445685Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9446038Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9446364Z return mod(*inputs) 2025-08-14T21:39:27.9446661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9446972Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9447334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9447679Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9447980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9448299Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9448623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:39:27.9448941Z k_softmax = k.softmax(dim=2) 2025-08-14T21:39:27.9449061Z 2025-08-14T21:39:27.9449170Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9449521Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9449845Z return mod(*inputs) 2025-08-14T21:39:27.9450175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9450488Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9450853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9451207Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9451507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9451836Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9452163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:39:27.9452488Z k_softmax = k.softmax(dim=2) 2025-08-14T21:39:27.9452611Z 2025-08-14T21:39:27.9452717Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9453080Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9453418Z return mod(*inputs) 2025-08-14T21:39:27.9453719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9454047Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9454394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9454743Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9455059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9455445Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9455801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:39:27.9456140Z k_softmax = k.softmax(dim=2) 2025-08-14T21:39:27.9456278Z 2025-08-14T21:39:27.9456384Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9456786Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9457126Z return mod(*inputs) 2025-08-14T21:39:27.9457437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9457786Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9458145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9458523Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9458839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9459180Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9459535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:39:27.9459868Z k_softmax = k.softmax(dim=2) 2025-08-14T21:39:27.9460014Z 2025-08-14T21:39:27.9460121Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9460501Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9460866Z return mod(*inputs) 2025-08-14T21:39:27.9461152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9461474Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9461820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9462157Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9462456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9462782Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9463105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:39:27.9463442Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:39:27.9463600Z 2025-08-14T21:39:27.9463744Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9464107Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9464522Z return mod(*inputs) 2025-08-14T21:39:27.9464836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9465204Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9465585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9465946Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9466269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9466621Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9466956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:39:27.9467302Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:39:27.9467467Z 2025-08-14T21:39:27.9467573Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9467939Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9468260Z return mod(*inputs) 2025-08-14T21:39:27.9468548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9468871Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9469209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9469557Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9469860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9470188Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9470506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:39:27.9470826Z factor_att = q @ factor_att 2025-08-14T21:39:27.9470941Z 2025-08-14T21:39:27.9471053Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9471409Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9471739Z return mod(*inputs) 2025-08-14T21:39:27.9472032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9472360Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9472698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9473044Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9473348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9473666Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9473992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:39:27.9474340Z factor_att = q @ factor_att 2025-08-14T21:39:27.9474451Z 2025-08-14T21:39:27.9474563Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9474913Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9475239Z return mod(*inputs) 2025-08-14T21:39:27.9475529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9475841Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9476181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9476518Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9476817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9477129Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9477484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:39:27.9477826Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:39:27.9478181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:39:27.9478688Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:39:27.9478849Z 2025-08-14T21:39:27.9478960Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9479344Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9479680Z return mod(*inputs) 2025-08-14T21:39:27.9479993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9480336Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9480702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9481063Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9481385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9481729Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9482061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:39:27.9482423Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:39:27.9482786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:39:27.9483141Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:39:27.9483298Z 2025-08-14T21:39:27.9483403Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9483764Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9484088Z return mod(*inputs) 2025-08-14T21:39:27.9484376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9484706Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9485056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9485399Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9485695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9486020Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9486342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:39:27.9486676Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:39:27.9487017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:39:27.9487353Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:39:27.9487497Z 2025-08-14T21:39:27.9487592Z cudagraph partition due to non gpu ops 2025-08-14T21:39:27.9487851Z cudagraph partition due to non gpu ops 2025-08-14T21:39:27.9488067Z cudagraph partition due to non gpu ops 2025-08-14T21:39:27.9488304Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9488658Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9488987Z return mod(*inputs) 2025-08-14T21:39:27.9489280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9489604Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9489941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9490287Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9490589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9490966Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9491294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:39:27.9491667Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:39:27.9492000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 82, in forward 2025-08-14T21:39:27.9492329Z conv_v_img = torch.cat(conv_v_img_list, dim=1) 2025-08-14T21:39:27.9492482Z 2025-08-14T21:39:27.9492586Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9492944Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9493263Z return mod(*inputs) 2025-08-14T21:39:27.9493557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9493880Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9494225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9494563Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9494867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9495189Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9495504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 131, in forward 2025-08-14T21:39:27.9495891Z x = x.transpose(1, 2).reshape(B, N, C) # [B, h, N, Ch] -> [B, N, h, Ch] -> [B, N, C] 2025-08-14T21:39:27.9496093Z 2025-08-14T21:39:27.9496198Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9496558Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9496876Z return mod(*inputs) 2025-08-14T21:39:27.9497168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9497499Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9497834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9498181Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9498489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9498801Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9499104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 134, in forward 2025-08-14T21:39:27.9499403Z x = self.proj(x) 2025-08-14T21:39:27.9499501Z 2025-08-14T21:39:27.9499609Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9499952Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9500267Z return mod(*inputs) 2025-08-14T21:39:27.9500552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9500864Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9501214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9501549Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9501837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:39:27.9502131Z cur = self.mlp(cur) 2025-08-14T21:39:27.9502416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:39:27.9502718Z x = self.fc1(x) 2025-08-14T21:39:27.9502811Z 2025-08-14T21:39:27.9502922Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9503274Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9503599Z return mod(*inputs) 2025-08-14T21:39:27.9503927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9504354Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9504835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9505210Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9505545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:39:27.9505869Z cur = self.mlp(cur) 2025-08-14T21:39:27.9506160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:39:27.9506466Z x = self.act(x) 2025-08-14T21:39:27.9506563Z 2025-08-14T21:39:27.9506669Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9507033Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9507381Z return mod(*inputs) 2025-08-14T21:39:27.9507676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9507992Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9508339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9508703Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9508996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:39:27.9509323Z cur = self.mlp(cur) 2025-08-14T21:39:27.9509607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:39:27.9509912Z x = self.fc2(x) 2025-08-14T21:39:27.9510005Z 2025-08-14T21:39:27.9510109Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9510466Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9510785Z return mod(*inputs) 2025-08-14T21:39:27.9511071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9511395Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9511729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9512059Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9512345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 220, in forward 2025-08-14T21:39:27.9512649Z x = x + self.drop_path(cur) 2025-08-14T21:39:27.9512758Z 2025-08-14T21:39:27.9512867Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9513214Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9513522Z return mod(*inputs) 2025-08-14T21:39:27.9513797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9514106Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9514423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9514773Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9515058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:39:27.9515351Z x = self.cpe(x, size) 2025-08-14T21:39:27.9515635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-08-14T21:39:27.9515936Z x = self.proj(feat) + feat 2025-08-14T21:39:27.9516049Z 2025-08-14T21:39:27.9516134Z cudagraph partition due to non gpu ops 2025-08-14T21:39:27.9516331Z cudagraph partition due to non gpu ops 2025-08-14T21:39:27.9516555Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9516895Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9517236Z return mod(*inputs) 2025-08-14T21:39:27.9517516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9517844Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9518166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9518480Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9518762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:39:27.9519063Z x = self.cpe(x, size) 2025-08-14T21:39:27.9519339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 162, in forward 2025-08-14T21:39:27.9519648Z x = torch.cat((cls_token, x), dim=1) 2025-08-14T21:39:27.9519774Z 2025-08-14T21:39:27.9519881Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9520239Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9520536Z return mod(*inputs) 2025-08-14T21:39:27.9520810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9521115Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9521431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9521752Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9522032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9522336Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9522630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 118, in forward 2025-08-14T21:39:27.9523010Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:39:27.9523210Z 2025-08-14T21:39:27.9523316Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9523646Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9523954Z return mod(*inputs) 2025-08-14T21:39:27.9524228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9524527Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9524842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9525163Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9525442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9525737Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9526038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:39:27.9526336Z k_softmax = k.softmax(dim=2) 2025-08-14T21:39:27.9526453Z 2025-08-14T21:39:27.9526558Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9526915Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9527238Z return mod(*inputs) 2025-08-14T21:39:27.9527524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9527833Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9528172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9528509Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9528806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9529153Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9529473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:39:27.9529830Z k_softmax = k.softmax(dim=2) 2025-08-14T21:39:27.9529949Z 2025-08-14T21:39:27.9530053Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9530425Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9530738Z return mod(*inputs) 2025-08-14T21:39:27.9531020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9531324Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9531655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9531985Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9532270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9532595Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9532916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:39:27.9533229Z k_softmax = k.softmax(dim=2) 2025-08-14T21:39:27.9533352Z 2025-08-14T21:39:27.9533461Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9533818Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9534145Z return mod(*inputs) 2025-08-14T21:39:27.9534428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9534748Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9535090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9535433Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9535725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9536051Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9536373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:39:27.9536683Z k_softmax = k.softmax(dim=2) 2025-08-14T21:39:27.9536811Z 2025-08-14T21:39:27.9536916Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9537273Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9537592Z return mod(*inputs) 2025-08-14T21:39:27.9537873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9538191Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9538534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9538884Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9539192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9539531Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9539866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:39:27.9540250Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:39:27.9540414Z 2025-08-14T21:39:27.9540524Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9540904Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9541245Z return mod(*inputs) 2025-08-14T21:39:27.9541542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9541880Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9542243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9542594Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9542951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9543294Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9543633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:39:27.9543999Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:39:27.9544162Z 2025-08-14T21:39:27.9544361Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9544751Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9545085Z return mod(*inputs) 2025-08-14T21:39:27.9545392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9545732Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9546095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9546451Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9546775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9547121Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9547455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:39:27.9547789Z factor_att = q @ factor_att 2025-08-14T21:39:27.9547909Z 2025-08-14T21:39:27.9548025Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9548407Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9548739Z return mod(*inputs) 2025-08-14T21:39:27.9549047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9549387Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9549741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9550105Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9550424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9550766Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9551096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:39:27.9551423Z factor_att = q @ factor_att 2025-08-14T21:39:27.9551541Z 2025-08-14T21:39:27.9551658Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9552030Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9552374Z return mod(*inputs) 2025-08-14T21:39:27.9552679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9553017Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9553375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9553737Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9554083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9554414Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9554752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:39:27.9555109Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:39:27.9555468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:39:27.9555814Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:39:27.9555974Z 2025-08-14T21:39:27.9556084Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9556460Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9556794Z return mod(*inputs) 2025-08-14T21:39:27.9557150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9557492Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9557873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9558207Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9558507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9558834Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9559147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:39:27.9559490Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:39:27.9559830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:39:27.9560166Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:39:27.9560316Z 2025-08-14T21:39:27.9560420Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9560782Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9561109Z return mod(*inputs) 2025-08-14T21:39:27.9561391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9561715Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9562057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9562401Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9562693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9563015Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9563336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:39:27.9563669Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:39:27.9564008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:39:27.9564345Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:39:27.9564489Z 2025-08-14T21:39:27.9564578Z cudagraph partition due to non gpu ops 2025-08-14T21:39:27.9564794Z cudagraph partition due to non gpu ops 2025-08-14T21:39:27.9565016Z cudagraph partition due to non gpu ops 2025-08-14T21:39:27.9565267Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9565642Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9565993Z return mod(*inputs) 2025-08-14T21:39:27.9566303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9566647Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9567008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9567395Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9567719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9568052Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9568377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:39:27.9568738Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:39:27.9569095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 82, in forward 2025-08-14T21:39:27.9569442Z conv_v_img = torch.cat(conv_v_img_list, dim=1) 2025-08-14T21:39:27.9569604Z 2025-08-14T21:39:27.9569719Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9570077Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9570431Z return mod(*inputs) 2025-08-14T21:39:27.9570725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9571072Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9571412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9571746Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9572046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9572366Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9572678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 131, in forward 2025-08-14T21:39:27.9573064Z x = x.transpose(1, 2).reshape(B, N, C) # [B, h, N, Ch] -> [B, N, h, Ch] -> [B, N, C] 2025-08-14T21:39:27.9573265Z 2025-08-14T21:39:27.9573371Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9573735Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9574052Z return mod(*inputs) 2025-08-14T21:39:27.9574346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9574667Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9575008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9575347Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9575648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9575973Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9576285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 134, in forward 2025-08-14T21:39:27.9576597Z x = self.proj(x) 2025-08-14T21:39:27.9576700Z 2025-08-14T21:39:27.9576812Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9577174Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9577491Z return mod(*inputs) 2025-08-14T21:39:27.9577783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9578101Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9578561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9578916Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9579223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:39:27.9579549Z cur = self.mlp(cur) 2025-08-14T21:39:27.9579855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:39:27.9580186Z x = self.fc1(x) 2025-08-14T21:39:27.9580287Z 2025-08-14T21:39:27.9580410Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9580834Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9581180Z return mod(*inputs) 2025-08-14T21:39:27.9581486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9581826Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9582183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9582547Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9582867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:39:27.9583187Z cur = self.mlp(cur) 2025-08-14T21:39:27.9583494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:39:27.9583818Z x = self.act(x) 2025-08-14T21:39:27.9583973Z 2025-08-14T21:39:27.9584093Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9584533Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9584925Z return mod(*inputs) 2025-08-14T21:39:27.9585241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9585578Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9585953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 585, in forward_features 2025-08-14T21:39:27.9586313Z x2 = blk(x2, size=(H2, W2)) 2025-08-14T21:39:27.9586629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:39:27.9586948Z cur = self.mlp(cur) 2025-08-14T21:39:27.9587253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:39:27.9587580Z x = self.fc2(x) 2025-08-14T21:39:27.9587679Z 2025-08-14T21:39:27.9587788Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9588171Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9588512Z return mod(*inputs) 2025-08-14T21:39:27.9588816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9589220Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9589450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 586, in forward_features 2025-08-14T21:39:27.9589611Z x2_nocls = remove_cls(x2).reshape(B, H2, W2, -1).permute(0, 3, 1, 2).contiguous() 2025-08-14T21:39:27.9589616Z 2025-08-14T21:39:27.9589725Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9589952Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9590024Z return mod(*inputs) 2025-08-14T21:39:27.9590226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9590310Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9590534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 589, in forward_features 2025-08-14T21:39:27.9590621Z x3 = self.patch_embed3(x2_nocls) 2025-08-14T21:39:27.9590839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-08-14T21:39:27.9590908Z x = self.proj(x) 2025-08-14T21:39:27.9590911Z 2025-08-14T21:39:27.9591028Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9591241Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9591321Z return mod(*inputs) 2025-08-14T21:39:27.9591523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9591597Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9591831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 589, in forward_features 2025-08-14T21:39:27.9591906Z x3 = self.patch_embed3(x2_nocls) 2025-08-14T21:39:27.9592105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 136, in forward 2025-08-14T21:39:27.9592174Z x = self.norm(x) 2025-08-14T21:39:27.9592178Z 2025-08-14T21:39:27.9592279Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9592478Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9592543Z return mod(*inputs) 2025-08-14T21:39:27.9592722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9592804Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9593047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 591, in forward_features 2025-08-14T21:39:27.9593126Z x3 = insert_cls(x3, self.cls_token3) 2025-08-14T21:39:27.9593341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 677, in insert_cls 2025-08-14T21:39:27.9593418Z x = torch.cat((cls_tokens, x), dim=1) 2025-08-14T21:39:27.9593422Z 2025-08-14T21:39:27.9593529Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9593723Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9593786Z return mod(*inputs) 2025-08-14T21:39:27.9593969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9594040Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9594249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9594319Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9594497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:39:27.9594573Z x = self.cpe(x, size) 2025-08-14T21:39:27.9594749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-08-14T21:39:27.9594818Z x = self.proj(feat) + feat 2025-08-14T21:39:27.9594821Z 2025-08-14T21:39:27.9594908Z cudagraph partition due to non gpu ops 2025-08-14T21:39:27.9594985Z cudagraph partition due to non gpu ops 2025-08-14T21:39:27.9595089Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9595281Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9595344Z return mod(*inputs) 2025-08-14T21:39:27.9595525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9595598Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9595805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9595883Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9596058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:39:27.9596132Z x = self.cpe(x, size) 2025-08-14T21:39:27.9596306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 162, in forward 2025-08-14T21:39:27.9596381Z x = torch.cat((cls_token, x), dim=1) 2025-08-14T21:39:27.9596384Z 2025-08-14T21:39:27.9596489Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9596682Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9596748Z return mod(*inputs) 2025-08-14T21:39:27.9596931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9597005Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9597212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9597299Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9597474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9597560Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9597739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 118, in forward 2025-08-14T21:39:27.9597897Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:39:27.9597909Z 2025-08-14T21:39:27.9598008Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9598199Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9598269Z return mod(*inputs) 2025-08-14T21:39:27.9598488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9598562Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9598794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9598859Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9599040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9599116Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9599291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:39:27.9599368Z k_softmax = k.softmax(dim=2) 2025-08-14T21:39:27.9599372Z 2025-08-14T21:39:27.9599469Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9599658Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9599730Z return mod(*inputs) 2025-08-14T21:39:27.9599906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9599987Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9600190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9600256Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9600436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9600511Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9600683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:39:27.9600763Z k_softmax = k.softmax(dim=2) 2025-08-14T21:39:27.9600766Z 2025-08-14T21:39:27.9600865Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9601068Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9601132Z return mod(*inputs) 2025-08-14T21:39:27.9601313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9601395Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9601597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9601664Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9601846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9601921Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9602101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:39:27.9602172Z k_softmax = k.softmax(dim=2) 2025-08-14T21:39:27.9602175Z 2025-08-14T21:39:27.9602273Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9602471Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9602556Z return mod(*inputs) 2025-08-14T21:39:27.9602738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9602817Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9603023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9603096Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9603274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9603351Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9603537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:39:27.9603607Z k_softmax = k.softmax(dim=2) 2025-08-14T21:39:27.9603611Z 2025-08-14T21:39:27.9603755Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9603951Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9604826Z return mod(*inputs) 2025-08-14T21:39:27.9605018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9605093Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9605303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9605381Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9605565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9605651Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9605832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:39:27.9605934Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:39:27.9605937Z 2025-08-14T21:39:27.9606049Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9606256Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9606321Z return mod(*inputs) 2025-08-14T21:39:27.9606507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9606581Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9606791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9606856Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9607030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9607113Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9607293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:39:27.9607385Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:39:27.9607397Z 2025-08-14T21:39:27.9607507Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9607697Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9607767Z return mod(*inputs) 2025-08-14T21:39:27.9607938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9608008Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9608212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9608276Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9608447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9608530Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9608706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:39:27.9608798Z factor_att = q @ factor_att 2025-08-14T21:39:27.9608803Z 2025-08-14T21:39:27.9608901Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9609086Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9609157Z return mod(*inputs) 2025-08-14T21:39:27.9609332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9609411Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9609617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9609684Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9609868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9609981Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9610158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:39:27.9610252Z factor_att = q @ factor_att 2025-08-14T21:39:27.9610256Z 2025-08-14T21:39:27.9610359Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9610567Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9610630Z return mod(*inputs) 2025-08-14T21:39:27.9610803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9610880Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9611077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9611143Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9611321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9611396Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9611574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:39:27.9611668Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:39:27.9611842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:39:27.9611936Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:39:27.9611939Z 2025-08-14T21:39:27.9612036Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9612221Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9612291Z return mod(*inputs) 2025-08-14T21:39:27.9612464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9612540Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9612741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9612806Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9612985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9613057Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9613226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:39:27.9613325Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:39:27.9613502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:39:27.9613598Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:39:27.9613601Z 2025-08-14T21:39:27.9613700Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9613889Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9613962Z return mod(*inputs) 2025-08-14T21:39:27.9614137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9614236Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9614439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9614504Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9614685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9614762Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9614937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:39:27.9615034Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:39:27.9615212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:39:27.9615340Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:39:27.9615344Z 2025-08-14T21:39:27.9615430Z cudagraph partition due to non gpu ops 2025-08-14T21:39:27.9615527Z cudagraph partition due to non gpu ops 2025-08-14T21:39:27.9615611Z cudagraph partition due to non gpu ops 2025-08-14T21:39:27.9615714Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9615911Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9615987Z return mod(*inputs) 2025-08-14T21:39:27.9616168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9616249Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9616466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9616533Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9616720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9616797Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9616974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:39:27.9617072Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:39:27.9617248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 82, in forward 2025-08-14T21:39:27.9617347Z conv_v_img = torch.cat(conv_v_img_list, dim=1) 2025-08-14T21:39:27.9617351Z 2025-08-14T21:39:27.9617451Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9617648Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9617722Z return mod(*inputs) 2025-08-14T21:39:27.9617902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9617979Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9618195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9618267Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9618452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9618531Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9618711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 131, in forward 2025-08-14T21:39:27.9618858Z x = x.transpose(1, 2).reshape(B, N, C) # [B, h, N, Ch] -> [B, N, h, Ch] -> [B, N, C] 2025-08-14T21:39:27.9618862Z 2025-08-14T21:39:27.9618963Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9619165Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9619231Z return mod(*inputs) 2025-08-14T21:39:27.9619414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9619527Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9619737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9619804Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9619992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9620068Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9620256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 134, in forward 2025-08-14T21:39:27.9620321Z x = self.proj(x) 2025-08-14T21:39:27.9620324Z 2025-08-14T21:39:27.9620426Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9620630Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9620694Z return mod(*inputs) 2025-08-14T21:39:27.9620911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9620997Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9621228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9621302Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9621484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:39:27.9621550Z cur = self.mlp(cur) 2025-08-14T21:39:27.9621738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:39:27.9621802Z x = self.fc1(x) 2025-08-14T21:39:27.9621806Z 2025-08-14T21:39:27.9621907Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9622110Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9622178Z return mod(*inputs) 2025-08-14T21:39:27.9622367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9622444Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9622651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9622728Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9622908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:39:27.9622973Z cur = self.mlp(cur) 2025-08-14T21:39:27.9623163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:39:27.9623226Z x = self.act(x) 2025-08-14T21:39:27.9623230Z 2025-08-14T21:39:27.9623337Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9623530Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9623597Z return mod(*inputs) 2025-08-14T21:39:27.9623786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9623862Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9624067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9624143Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9624400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:39:27.9624483Z cur = self.mlp(cur) 2025-08-14T21:39:27.9624674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:39:27.9624740Z x = self.fc2(x) 2025-08-14T21:39:27.9624744Z 2025-08-14T21:39:27.9624860Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9625075Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9625151Z return mod(*inputs) 2025-08-14T21:39:27.9625366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9625446Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9625684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9625753Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9625934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 220, in forward 2025-08-14T21:39:27.9626013Z x = x + self.drop_path(cur) 2025-08-14T21:39:27.9626016Z 2025-08-14T21:39:27.9626118Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9626322Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9626387Z return mod(*inputs) 2025-08-14T21:39:27.9626610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9626693Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9626920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9626986Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9627175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:39:27.9627243Z x = self.cpe(x, size) 2025-08-14T21:39:27.9627433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-08-14T21:39:27.9627506Z x = self.proj(feat) + feat 2025-08-14T21:39:27.9627510Z 2025-08-14T21:39:27.9627589Z cudagraph partition due to non gpu ops 2025-08-14T21:39:27.9627677Z cudagraph partition due to non gpu ops 2025-08-14T21:39:27.9627779Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9627980Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9628056Z return mod(*inputs) 2025-08-14T21:39:27.9628238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9628320Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9628527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9628594Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9628783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:39:27.9628852Z x = self.cpe(x, size) 2025-08-14T21:39:27.9629034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 162, in forward 2025-08-14T21:39:27.9629121Z x = torch.cat((cls_token, x), dim=1) 2025-08-14T21:39:27.9629124Z 2025-08-14T21:39:27.9629228Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9629435Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9629504Z return mod(*inputs) 2025-08-14T21:39:27.9629684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9629765Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9629972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9630039Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9630226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9630304Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9630491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 118, in forward 2025-08-14T21:39:27.9630654Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:39:27.9630660Z 2025-08-14T21:39:27.9630763Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9630991Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9631059Z return mod(*inputs) 2025-08-14T21:39:27.9631250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9631324Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9631534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9631608Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9631790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9631868Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9632058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:39:27.9632167Z k_softmax = k.softmax(dim=2) 2025-08-14T21:39:27.9632173Z 2025-08-14T21:39:27.9632285Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9632497Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9632562Z return mod(*inputs) 2025-08-14T21:39:27.9632751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9632825Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9633033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9633108Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9633288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9633374Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9633556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:39:27.9633632Z k_softmax = k.softmax(dim=2) 2025-08-14T21:39:27.9633635Z 2025-08-14T21:39:27.9633745Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9633944Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9634011Z return mod(*inputs) 2025-08-14T21:39:27.9634199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9634274Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9634491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9634560Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9634738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9634822Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9635007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:39:27.9635078Z k_softmax = k.softmax(dim=2) 2025-08-14T21:39:27.9635091Z 2025-08-14T21:39:27.9635193Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9635390Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9635463Z return mod(*inputs) 2025-08-14T21:39:27.9635643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9635715Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9635930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9635997Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9636183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9636262Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9636440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:39:27.9636540Z k_softmax = k.softmax(dim=2) 2025-08-14T21:39:27.9636544Z 2025-08-14T21:39:27.9636648Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9636850Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9636921Z return mod(*inputs) 2025-08-14T21:39:27.9637109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9637189Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9637401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9637469Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9637698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9637776Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9637959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:39:27.9638086Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:39:27.9638090Z 2025-08-14T21:39:27.9638191Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9638394Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9638460Z return mod(*inputs) 2025-08-14T21:39:27.9638641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9638721Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9638932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9638999Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9639194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9639276Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9639479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:39:27.9639576Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:39:27.9639579Z 2025-08-14T21:39:27.9639687Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9639905Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9639974Z return mod(*inputs) 2025-08-14T21:39:27.9640177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9640257Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9640480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9640564Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9640758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9640842Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9641045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:39:27.9641120Z factor_att = q @ factor_att 2025-08-14T21:39:27.9641124Z 2025-08-14T21:39:27.9641239Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9641500Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9641570Z return mod(*inputs) 2025-08-14T21:39:27.9641768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9641848Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9642072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9642176Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9642371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9642460Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9642653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:39:27.9642725Z factor_att = q @ factor_att 2025-08-14T21:39:27.9642728Z 2025-08-14T21:39:27.9642845Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9643053Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9643120Z return mod(*inputs) 2025-08-14T21:39:27.9643322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9643401Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9643669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9643750Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9643969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9644056Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9644246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:39:27.9644346Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:39:27.9644543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:39:27.9644636Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:39:27.9644640Z 2025-08-14T21:39:27.9644754Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9644964Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9645033Z return mod(*inputs) 2025-08-14T21:39:27.9645232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9645311Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9645536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9645607Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9645799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9645885Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9646077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:39:27.9646174Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:39:27.9646374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:39:27.9646468Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:39:27.9646474Z 2025-08-14T21:39:27.9646588Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9646795Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9646863Z return mod(*inputs) 2025-08-14T21:39:27.9647061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9647138Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9647358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9647438Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9647626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9647715Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9647909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:39:27.9648032Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:39:27.9648235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:39:27.9648327Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:39:27.9648331Z 2025-08-14T21:39:27.9648415Z cudagraph partition due to non gpu ops 2025-08-14T21:39:27.9648505Z cudagraph partition due to non gpu ops 2025-08-14T21:39:27.9648586Z cudagraph partition due to non gpu ops 2025-08-14T21:39:27.9648698Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9648907Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9648976Z return mod(*inputs) 2025-08-14T21:39:27.9649174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9649291Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9649511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9649612Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9649805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9649891Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9650084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:39:27.9650181Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:39:27.9650379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 82, in forward 2025-08-14T21:39:27.9650478Z conv_v_img = torch.cat(conv_v_img_list, dim=1) 2025-08-14T21:39:27.9650482Z 2025-08-14T21:39:27.9650588Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9650808Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9650879Z return mod(*inputs) 2025-08-14T21:39:27.9651084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9651157Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9651365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9651439Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9651620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9651710Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9651901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 131, in forward 2025-08-14T21:39:27.9652049Z x = x.transpose(1, 2).reshape(B, N, C) # [B, h, N, Ch] -> [B, N, h, Ch] -> [B, N, C] 2025-08-14T21:39:27.9652053Z 2025-08-14T21:39:27.9652171Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9652381Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9652452Z return mod(*inputs) 2025-08-14T21:39:27.9652653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9652730Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9652958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9653030Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9653223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9653312Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9653513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 134, in forward 2025-08-14T21:39:27.9653578Z x = self.proj(x) 2025-08-14T21:39:27.9653584Z 2025-08-14T21:39:27.9653697Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9653912Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9653989Z return mod(*inputs) 2025-08-14T21:39:27.9654174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9654252Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9654472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9654544Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9654728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:39:27.9654805Z cur = self.mlp(cur) 2025-08-14T21:39:27.9654993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:39:27.9655101Z x = self.fc1(x) 2025-08-14T21:39:27.9655106Z 2025-08-14T21:39:27.9655211Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9655427Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9655502Z return mod(*inputs) 2025-08-14T21:39:27.9655686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9655760Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9655976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9656044Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9656235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:39:27.9656301Z cur = self.mlp(cur) 2025-08-14T21:39:27.9656483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:39:27.9656554Z x = self.act(x) 2025-08-14T21:39:27.9656559Z 2025-08-14T21:39:27.9656661Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9656864Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9656928Z return mod(*inputs) 2025-08-14T21:39:27.9657109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9657189Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9657398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 593, in forward_features 2025-08-14T21:39:27.9657466Z x3 = blk(x3, size=(H3, W3)) 2025-08-14T21:39:27.9657653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:39:27.9657717Z cur = self.mlp(cur) 2025-08-14T21:39:27.9657909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:39:27.9657973Z x = self.fc2(x) 2025-08-14T21:39:27.9657978Z 2025-08-14T21:39:27.9658081Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9658282Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9658348Z return mod(*inputs) 2025-08-14T21:39:27.9658533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9658615Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9658824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 594, in forward_features 2025-08-14T21:39:27.9658985Z x3_nocls = remove_cls(x3).reshape(B, H3, W3, -1).permute(0, 3, 1, 2).contiguous() 2025-08-14T21:39:27.9658990Z 2025-08-14T21:39:27.9659091Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9659286Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9659359Z return mod(*inputs) 2025-08-14T21:39:27.9659557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9659634Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9659845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 597, in forward_features 2025-08-14T21:39:27.9659923Z x4 = self.patch_embed4(x3_nocls) 2025-08-14T21:39:27.9660135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-08-14T21:39:27.9660200Z x = self.proj(x) 2025-08-14T21:39:27.9660204Z 2025-08-14T21:39:27.9660305Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9660506Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9660572Z return mod(*inputs) 2025-08-14T21:39:27.9660799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9660883Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9661110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 597, in forward_features 2025-08-14T21:39:27.9661193Z x4 = self.patch_embed4(x3_nocls) 2025-08-14T21:39:27.9661398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 136, in forward 2025-08-14T21:39:27.9661461Z x = self.norm(x) 2025-08-14T21:39:27.9661464Z 2025-08-14T21:39:27.9661575Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9661769Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9661841Z return mod(*inputs) 2025-08-14T21:39:27.9662021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9662097Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9662310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 599, in forward_features 2025-08-14T21:39:27.9662390Z x4 = insert_cls(x4, self.cls_token4) 2025-08-14T21:39:27.9662584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 677, in insert_cls 2025-08-14T21:39:27.9662670Z x = torch.cat((cls_tokens, x), dim=1) 2025-08-14T21:39:27.9662673Z 2025-08-14T21:39:27.9662774Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9662974Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9663038Z return mod(*inputs) 2025-08-14T21:39:27.9663219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9663298Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9663508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9663576Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9663765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:39:27.9663835Z x = self.cpe(x, size) 2025-08-14T21:39:27.9664022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-08-14T21:39:27.9664097Z x = self.proj(feat) + feat 2025-08-14T21:39:27.9664100Z 2025-08-14T21:39:27.9664240Z cudagraph partition due to non gpu ops 2025-08-14T21:39:27.9664337Z cudagraph partition due to non gpu ops 2025-08-14T21:39:27.9664441Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9664639Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9664715Z return mod(*inputs) 2025-08-14T21:39:27.9664918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9665005Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9665250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9665325Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9665524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:39:27.9665597Z x = self.cpe(x, size) 2025-08-14T21:39:27.9665787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 162, in forward 2025-08-14T21:39:27.9665877Z x = torch.cat((cls_token, x), dim=1) 2025-08-14T21:39:27.9665881Z 2025-08-14T21:39:27.9665989Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9666207Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9666276Z return mod(*inputs) 2025-08-14T21:39:27.9666503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9666602Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9666829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9666899Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9667086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9667164Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9667351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 118, in forward 2025-08-14T21:39:27.9667513Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:39:27.9667517Z 2025-08-14T21:39:27.9667618Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9667825Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9667893Z return mod(*inputs) 2025-08-14T21:39:27.9668089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9668164Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9668372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9668449Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9668628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9668706Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9668892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:39:27.9668964Z k_softmax = k.softmax(dim=2) 2025-08-14T21:39:27.9668968Z 2025-08-14T21:39:27.9669075Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9669274Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9669341Z return mod(*inputs) 2025-08-14T21:39:27.9669531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9669604Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9669812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9669887Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9670067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9670154Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9670332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:39:27.9670403Z k_softmax = k.softmax(dim=2) 2025-08-14T21:39:27.9670407Z 2025-08-14T21:39:27.9670519Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9670714Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9670802Z return mod(*inputs) 2025-08-14T21:39:27.9670989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9671063Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9671276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9671342Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9671523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9671608Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9671789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:39:27.9671868Z k_softmax = k.softmax(dim=2) 2025-08-14T21:39:27.9671871Z 2025-08-14T21:39:27.9672007Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9672205Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9672293Z return mod(*inputs) 2025-08-14T21:39:27.9672480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9672553Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9672774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9672842Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9673035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9673114Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9673298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:39:27.9673379Z k_softmax = k.softmax(dim=2) 2025-08-14T21:39:27.9673382Z 2025-08-14T21:39:27.9673486Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9673687Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9673759Z return mod(*inputs) 2025-08-14T21:39:27.9673945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9674026Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9674236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9674307Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9674497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9674573Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9674760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:39:27.9674863Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:39:27.9674868Z 2025-08-14T21:39:27.9674972Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9675175Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9675240Z return mod(*inputs) 2025-08-14T21:39:27.9675426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9675507Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9675715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9675781Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9675971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9676047Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9676239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:39:27.9676351Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:39:27.9676357Z 2025-08-14T21:39:27.9676459Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9676661Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9676725Z return mod(*inputs) 2025-08-14T21:39:27.9676911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9676985Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9677191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9677266Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9677449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9677564Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9677754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:39:27.9677844Z factor_att = q @ factor_att 2025-08-14T21:39:27.9677847Z 2025-08-14T21:39:27.9677956Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9678154Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9678220Z return mod(*inputs) 2025-08-14T21:39:27.9678531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9678613Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9678821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9678899Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9679084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9679168Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9679350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:39:27.9679420Z factor_att = q @ factor_att 2025-08-14T21:39:27.9679423Z 2025-08-14T21:39:27.9679533Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9679729Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9679797Z return mod(*inputs) 2025-08-14T21:39:27.9679992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9680068Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9680284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9680351Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9680535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9680622Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9680803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:39:27.9680901Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:39:27.9681091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:39:27.9681179Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:39:27.9681183Z 2025-08-14T21:39:27.9681291Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9681485Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9681549Z return mod(*inputs) 2025-08-14T21:39:27.9681738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9681814Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9682031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9682149Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9682330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9682414Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9682591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:39:27.9682687Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:39:27.9682877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:39:27.9682965Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:39:27.9682969Z 2025-08-14T21:39:27.9683076Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9683330Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9683401Z return mod(*inputs) 2025-08-14T21:39:27.9683620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9683694Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9683902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9683976Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9684156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9684240Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9684419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:39:27.9684513Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:39:27.9684705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:39:27.9684796Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:39:27.9684801Z 2025-08-14T21:39:27.9684888Z cudagraph partition due to non gpu ops 2025-08-14T21:39:27.9684966Z cudagraph partition due to non gpu ops 2025-08-14T21:39:27.9685041Z cudagraph partition due to non gpu ops 2025-08-14T21:39:27.9685150Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9685349Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9685416Z return mod(*inputs) 2025-08-14T21:39:27.9685605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9685678Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9685889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9685967Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9686148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9686234Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9686414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:39:27.9686506Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:39:27.9686694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 82, in forward 2025-08-14T21:39:27.9686790Z conv_v_img = torch.cat(conv_v_img_list, dim=1) 2025-08-14T21:39:27.9686794Z 2025-08-14T21:39:27.9686903Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9687100Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9687164Z return mod(*inputs) 2025-08-14T21:39:27.9687353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9687427Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9687655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9687734Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9687916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9688002Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9688183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 131, in forward 2025-08-14T21:39:27.9688325Z x = x.transpose(1, 2).reshape(B, N, C) # [B, h, N, Ch] -> [B, N, h, Ch] -> [B, N, C] 2025-08-14T21:39:27.9688329Z 2025-08-14T21:39:27.9688440Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9688638Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9688740Z return mod(*inputs) 2025-08-14T21:39:27.9688931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9689026Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9689241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9689309Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9689489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9689574Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9689763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 134, in forward 2025-08-14T21:39:27.9689826Z x = self.proj(x) 2025-08-14T21:39:27.9689837Z 2025-08-14T21:39:27.9689938Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9690131Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9690202Z return mod(*inputs) 2025-08-14T21:39:27.9690380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9690452Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9690660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9690726Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9690903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:39:27.9690973Z cur = self.mlp(cur) 2025-08-14T21:39:27.9691150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:39:27.9691219Z x = self.fc1(x) 2025-08-14T21:39:27.9691222Z 2025-08-14T21:39:27.9691322Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9691517Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9691590Z return mod(*inputs) 2025-08-14T21:39:27.9691768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9691849Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9692052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9692117Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9692302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:39:27.9692366Z cur = self.mlp(cur) 2025-08-14T21:39:27.9692541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:39:27.9692609Z x = self.act(x) 2025-08-14T21:39:27.9692613Z 2025-08-14T21:39:27.9692712Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9692912Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9692996Z return mod(*inputs) 2025-08-14T21:39:27.9693176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9693254Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9693463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9693530Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9693720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:39:27.9693784Z cur = self.mlp(cur) 2025-08-14T21:39:27.9693972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:39:27.9694040Z x = self.fc2(x) 2025-08-14T21:39:27.9694043Z 2025-08-14T21:39:27.9694145Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9694379Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9694448Z return mod(*inputs) 2025-08-14T21:39:27.9694646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9694728Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9694935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9695008Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9695191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 220, in forward 2025-08-14T21:39:27.9695260Z x = x + self.drop_path(cur) 2025-08-14T21:39:27.9695264Z 2025-08-14T21:39:27.9695371Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9695564Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9695632Z return mod(*inputs) 2025-08-14T21:39:27.9695818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9695894Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9696110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9696177Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9696367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:39:27.9696441Z x = self.cpe(x, size) 2025-08-14T21:39:27.9696617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 158, in forward 2025-08-14T21:39:27.9696688Z x = self.proj(feat) + feat 2025-08-14T21:39:27.9696699Z 2025-08-14T21:39:27.9696777Z cudagraph partition due to non gpu ops 2025-08-14T21:39:27.9696854Z cudagraph partition due to non gpu ops 2025-08-14T21:39:27.9696961Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9697150Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9697216Z return mod(*inputs) 2025-08-14T21:39:27.9697400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9697471Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9697673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9697748Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9697925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 212, in forward 2025-08-14T21:39:27.9697997Z x = self.cpe(x, size) 2025-08-14T21:39:27.9698171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 162, in forward 2025-08-14T21:39:27.9698244Z x = torch.cat((cls_token, x), dim=1) 2025-08-14T21:39:27.9698248Z 2025-08-14T21:39:27.9698354Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9698567Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9698640Z return mod(*inputs) 2025-08-14T21:39:27.9698817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9698887Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9699096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9699162Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9699337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9699418Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9699595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 118, in forward 2025-08-14T21:39:27.9699789Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:39:27.9699794Z 2025-08-14T21:39:27.9699894Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9700106Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9700178Z return mod(*inputs) 2025-08-14T21:39:27.9700359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9700434Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9700646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9700715Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9700902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9700982Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9701163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:39:27.9701245Z k_softmax = k.softmax(dim=2) 2025-08-14T21:39:27.9701250Z 2025-08-14T21:39:27.9701353Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9701553Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9701629Z return mod(*inputs) 2025-08-14T21:39:27.9701814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9701896Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9702108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9702178Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9702367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9702450Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9702632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:39:27.9702718Z k_softmax = k.softmax(dim=2) 2025-08-14T21:39:27.9702721Z 2025-08-14T21:39:27.9702825Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9703030Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9703099Z return mod(*inputs) 2025-08-14T21:39:27.9703283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9703369Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9703580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9703659Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9703842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9703929Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9704164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:39:27.9704312Z k_softmax = k.softmax(dim=2) 2025-08-14T21:39:27.9704316Z 2025-08-14T21:39:27.9704430Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9704667Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9704739Z return mod(*inputs) 2025-08-14T21:39:27.9704952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9705034Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9705266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9705352Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9705606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9705687Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9705899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 122, in forward 2025-08-14T21:39:27.9705970Z k_softmax = k.softmax(dim=2) 2025-08-14T21:39:27.9705974Z 2025-08-14T21:39:27.9706091Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9706318Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9706389Z return mod(*inputs) 2025-08-14T21:39:27.9706604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9706686Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9706921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9707002Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9707215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9707309Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9707508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:39:27.9707610Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:39:27.9707614Z 2025-08-14T21:39:27.9707732Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9707957Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9708034Z return mod(*inputs) 2025-08-14T21:39:27.9708248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9708326Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9708566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9708640Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9708854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9708947Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9709157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 123, in forward 2025-08-14T21:39:27.9709264Z factor_att = k_softmax.transpose(-1, -2) @ v 2025-08-14T21:39:27.9709269Z 2025-08-14T21:39:27.9709380Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9709607Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9709686Z return mod(*inputs) 2025-08-14T21:39:27.9709897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9709978Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9710219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9710315Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9710535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9710620Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9710818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:39:27.9710900Z factor_att = q @ factor_att 2025-08-14T21:39:27.9710903Z 2025-08-14T21:39:27.9711014Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9711238Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9711317Z return mod(*inputs) 2025-08-14T21:39:27.9711526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9711653Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9711887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9711979Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9712180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9712264Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9712459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 124, in forward 2025-08-14T21:39:27.9712541Z factor_att = q @ factor_att 2025-08-14T21:39:27.9712545Z 2025-08-14T21:39:27.9712655Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9712877Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9712946Z return mod(*inputs) 2025-08-14T21:39:27.9713153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9713243Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9713473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9713555Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9713761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9713843Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9714048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:39:27.9714150Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:39:27.9714348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:39:27.9714455Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:39:27.9714458Z 2025-08-14T21:39:27.9714556Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9714756Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9714821Z return mod(*inputs) 2025-08-14T21:39:27.9714995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9715074Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9715274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9715339Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9715521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9715596Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9715779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:39:27.9715870Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:39:27.9716047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:39:27.9716162Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:39:27.9716167Z 2025-08-14T21:39:27.9716267Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9716458Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9716530Z return mod(*inputs) 2025-08-14T21:39:27.9716709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9716787Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9716988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9717054Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9717239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9717371Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9717550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:39:27.9717670Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:39:27.9717846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 81, in forward 2025-08-14T21:39:27.9717939Z conv_v_img_list.append(conv(v_img_list[i])) 2025-08-14T21:39:27.9717943Z 2025-08-14T21:39:27.9718021Z cudagraph partition due to non gpu ops 2025-08-14T21:39:27.9718098Z cudagraph partition due to non gpu ops 2025-08-14T21:39:27.9718179Z cudagraph partition due to non gpu ops 2025-08-14T21:39:27.9718281Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9718472Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9718545Z return mod(*inputs) 2025-08-14T21:39:27.9718724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9718804Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9719013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9719081Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9719269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9719347Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9719527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 127, in forward 2025-08-14T21:39:27.9719630Z crpe = self.crpe(q, v, size=size) # [B, h, N, Ch] 2025-08-14T21:39:27.9719816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 82, in forward 2025-08-14T21:39:27.9719920Z conv_v_img = torch.cat(conv_v_img_list, dim=1) 2025-08-14T21:39:27.9719924Z 2025-08-14T21:39:27.9720030Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9720230Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9720308Z return mod(*inputs) 2025-08-14T21:39:27.9720490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9720570Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9720778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9720846Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9721033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9721110Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9721292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 131, in forward 2025-08-14T21:39:27.9721442Z x = x.transpose(1, 2).reshape(B, N, C) # [B, h, N, Ch] -> [B, N, h, Ch] -> [B, N, C] 2025-08-14T21:39:27.9721445Z 2025-08-14T21:39:27.9721576Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9721781Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9721845Z return mod(*inputs) 2025-08-14T21:39:27.9722028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9722110Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9722327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9722393Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9722578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 214, in forward 2025-08-14T21:39:27.9722654Z cur = self.factoratt_crpe(cur, size) 2025-08-14T21:39:27.9722869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 134, in forward 2025-08-14T21:39:27.9722934Z x = self.proj(x) 2025-08-14T21:39:27.9722940Z 2025-08-14T21:39:27.9723038Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9723261Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9723326Z return mod(*inputs) 2025-08-14T21:39:27.9723507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9723577Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9723778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9723851Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9724027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:39:27.9724091Z cur = self.mlp(cur) 2025-08-14T21:39:27.9724277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:39:27.9724338Z x = self.fc1(x) 2025-08-14T21:39:27.9724342Z 2025-08-14T21:39:27.9724449Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9724635Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9724698Z return mod(*inputs) 2025-08-14T21:39:27.9724879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9724951Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9725150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9725222Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9725397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:39:27.9725466Z cur = self.mlp(cur) 2025-08-14T21:39:27.9725643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:39:27.9725704Z x = self.act(x) 2025-08-14T21:39:27.9725709Z 2025-08-14T21:39:27.9725816Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9726005Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9726068Z return mod(*inputs) 2025-08-14T21:39:27.9726249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 669, in forward 2025-08-14T21:39:27.9726320Z x_feat = self.forward_features(x) 2025-08-14T21:39:27.9726529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 601, in forward_features 2025-08-14T21:39:27.9726595Z x4 = blk(x4, size=(H4, W4)) 2025-08-14T21:39:27.9726767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 219, in forward 2025-08-14T21:39:27.9726838Z cur = self.mlp(cur) 2025-08-14T21:39:27.9727013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:39:27.9727096Z x = self.fc2(x) 2025-08-14T21:39:27.9727099Z 2025-08-14T21:39:27.9727205Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9727395Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9727466Z return mod(*inputs) 2025-08-14T21:39:27.9727641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 670, in forward 2025-08-14T21:39:27.9727713Z x = self.forward_head(x_feat) 2025-08-14T21:39:27.9727918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 660, in forward_head 2025-08-14T21:39:27.9727985Z x = self.head_drop(x) 2025-08-14T21:39:27.9727989Z 2025-08-14T21:39:27.9728087Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:39:27.9728319Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:39:27.9728386Z return mod(*inputs) 2025-08-14T21:39:27.9728566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 670, in forward 2025-08-14T21:39:27.9728658Z x = self.forward_head(x_feat) 2025-08-14T21:39:27.9728853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/coat.py", line 661, in forward_head 2025-08-14T21:39:27.9728946Z return x if pre_logits else self.head(x) 2025-08-14T21:39:27.9728950Z 2025-08-14T21:39:39.5176492Z Compilation time (from dynamo_timed): 18.93026131 2025-08-14T21:39:39.5176838Z pass 2025-08-14T21:39:39.5177139Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:39:39.5177964Z TIMING: _recursive_pre_grad_passes:0.00722 _recursive_joint_graph_passes:0.59749 _recursive_post_grad_passes:0.12438 async_compile.wait:0.68039 code_gen:11.74346 inductor_compile:13.63466 backend_compile:16.65808 gc:0.00192 entire_frame_compile:18.93026 total_wall_time:18.93026 2025-08-14T21:39:39.5179212Z STATS: call_* op count: 460 | FakeTensorMode.__torch_dispatch__:13518 | FakeTensor.__torch_dispatch__:4870 | ProxyTorchDispatchMode.__torch_dispatch__:4460 2025-08-14T21:39:39.5179744Z Dynamo produced 1 graphs covering 460 ops with 0 graph breaks (0 unique) 2025-08-14T21:39:44.5789765Z 2025-08-14T21:39:44.7955705Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:39:44.7956266Z 2025-08-14T21:39:44.9316731Z model.safetensors: 0% 0.00/84.9M [00:00 BH1(C/H) -> B1H(C/H) -> B1C 2025-08-14T21:41:10.1345698Z 2025-08-14T21:41:10.1345809Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1346213Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1346568Z return mod(*inputs) 2025-08-14T21:41:10.1346948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1347307Z xs = self.forward_features(x) 2025-08-14T21:41:10.1347693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1348070Z xs = blk(xs) 2025-08-14T21:41:10.1348386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:41:10.1348740Z tmp = fusion(tmp) 2025-08-14T21:41:10.1349065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:41:10.1349456Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:41:10.1349849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 112, in forward 2025-08-14T21:41:10.1350315Z q = self.wq(x[:, 0:1, ...]).reshape(B, 1, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:41:10.1350544Z 2025-08-14T21:41:10.1350657Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1351051Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1351394Z return mod(*inputs) 2025-08-14T21:41:10.1351745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1352100Z xs = self.forward_features(x) 2025-08-14T21:41:10.1352472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1352845Z xs = blk(xs) 2025-08-14T21:41:10.1353123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:41:10.1353422Z tmp = fusion(tmp) 2025-08-14T21:41:10.1353704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:41:10.1354038Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:41:10.1354368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 114, in forward 2025-08-14T21:41:10.1354787Z k = self.wk(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:41:10.1354987Z 2025-08-14T21:41:10.1355105Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1355447Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1355751Z return mod(*inputs) 2025-08-14T21:41:10.1356042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1356353Z xs = self.forward_features(x) 2025-08-14T21:41:10.1356672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1356993Z xs = blk(xs) 2025-08-14T21:41:10.1357260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:41:10.1357564Z tmp = fusion(tmp) 2025-08-14T21:41:10.1357844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:41:10.1358178Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:41:10.1358512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 116, in forward 2025-08-14T21:41:10.1358885Z v = self.wv(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:41:10.1359082Z 2025-08-14T21:41:10.1359180Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1359520Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1359829Z return mod(*inputs) 2025-08-14T21:41:10.1360108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1360425Z xs = self.forward_features(x) 2025-08-14T21:41:10.1360762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1361096Z xs = blk(xs) 2025-08-14T21:41:10.1361383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:41:10.1361692Z tmp = fusion(tmp) 2025-08-14T21:41:10.1361975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:41:10.1362303Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:41:10.1362640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 123, in forward 2025-08-14T21:41:10.1362946Z x = self.proj(x) 2025-08-14T21:41:10.1363042Z 2025-08-14T21:41:10.1363147Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1363482Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1363793Z return mod(*inputs) 2025-08-14T21:41:10.1364085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1364407Z xs = self.forward_features(x) 2025-08-14T21:41:10.1364740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1365072Z xs = blk(xs) 2025-08-14T21:41:10.1365355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:41:10.1365661Z tmp = fusion(tmp) 2025-08-14T21:41:10.1365951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:41:10.1366292Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:41:10.1366627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 122, in forward 2025-08-14T21:41:10.1367064Z x = (attn @ v).transpose(1, 2).reshape(B, 1, C) # (BH1N @ BHN(C/H)) -> BH1(C/H) -> B1H(C/H) -> B1C 2025-08-14T21:41:10.1367279Z 2025-08-14T21:41:10.1367376Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1367723Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1368022Z return mod(*inputs) 2025-08-14T21:41:10.1368313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1368629Z xs = self.forward_features(x) 2025-08-14T21:41:10.1368945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1369274Z xs = blk(xs) 2025-08-14T21:41:10.1369550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 264, in forward 2025-08-14T21:41:10.1369901Z reverted_proj_cls_token = revert_proj(tmp[:, 0:1, ...]) 2025-08-14T21:41:10.1370059Z 2025-08-14T21:41:10.1370159Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1370498Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1370808Z return mod(*inputs) 2025-08-14T21:41:10.1371085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1371455Z xs = self.forward_features(x) 2025-08-14T21:41:10.1371765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1372070Z xs = blk(xs) 2025-08-14T21:41:10.1372329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:41:10.1372622Z tmp = fusion(tmp) 2025-08-14T21:41:10.1372894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:41:10.1373209Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:41:10.1373533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 123, in forward 2025-08-14T21:41:10.1373827Z x = self.proj(x) 2025-08-14T21:41:10.1373920Z 2025-08-14T21:41:10.1374007Z cudagraph partition due to non gpu ops 2025-08-14T21:41:10.1374223Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1374551Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1374853Z return mod(*inputs) 2025-08-14T21:41:10.1375126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1375425Z xs = self.forward_features(x) 2025-08-14T21:41:10.1375736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1376049Z xs = blk(xs) 2025-08-14T21:41:10.1376311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-08-14T21:41:10.1376675Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-08-14T21:41:10.1376862Z 2025-08-14T21:41:10.1376968Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1377301Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1377592Z return mod(*inputs) 2025-08-14T21:41:10.1377872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1378176Z xs = self.forward_features(x) 2025-08-14T21:41:10.1378652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1378982Z xs = blk(xs) 2025-08-14T21:41:10.1379254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 264, in forward 2025-08-14T21:41:10.1379590Z reverted_proj_cls_token = revert_proj(tmp[:, 0:1, ...]) 2025-08-14T21:41:10.1379832Z 2025-08-14T21:41:10.1379907Z cudagraph partition due to non gpu ops 2025-08-14T21:41:10.1380121Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1380483Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1380775Z return mod(*inputs) 2025-08-14T21:41:10.1381057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1381364Z xs = self.forward_features(x) 2025-08-14T21:41:10.1381680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1382006Z xs = blk(xs) 2025-08-14T21:41:10.1382279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-08-14T21:41:10.1382646Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-08-14T21:41:10.1382820Z 2025-08-14T21:41:10.1382920Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1383267Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1383577Z return mod(*inputs) 2025-08-14T21:41:10.1383867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1384263Z xs = self.forward_features(x) 2025-08-14T21:41:10.1384629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1384986Z xs = blk(xs) 2025-08-14T21:41:10.1385283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1385616Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1385984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:41:10.1386383Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:41:10.1386765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 88, in forward 2025-08-14T21:41:10.1387264Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-08-14T21:41:10.1387467Z 2025-08-14T21:41:10.1387556Z cudagraph partition due to non gpu ops 2025-08-14T21:41:10.1387785Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1388134Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1388441Z return mod(*inputs) 2025-08-14T21:41:10.1388733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1389045Z xs = self.forward_features(x) 2025-08-14T21:41:10.1389379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1389711Z xs = blk(xs) 2025-08-14T21:41:10.1389984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1390327Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1390659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:41:10.1391034Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:41:10.1391393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 88, in forward 2025-08-14T21:41:10.1391800Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-08-14T21:41:10.1391991Z 2025-08-14T21:41:10.1392094Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1392430Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1392763Z return mod(*inputs) 2025-08-14T21:41:10.1393063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1393393Z xs = self.forward_features(x) 2025-08-14T21:41:10.1393712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1394041Z xs = blk(xs) 2025-08-14T21:41:10.1394322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1394636Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1394960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:41:10.1395334Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:41:10.1395698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-08-14T21:41:10.1396035Z x = F.scaled_dot_product_attention( 2025-08-14T21:41:10.1396168Z 2025-08-14T21:41:10.1396242Z cudagraph partition due to non gpu ops 2025-08-14T21:41:10.1396465Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1396814Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1397120Z return mod(*inputs) 2025-08-14T21:41:10.1397402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1397715Z xs = self.forward_features(x) 2025-08-14T21:41:10.1398032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1398357Z xs = blk(xs) 2025-08-14T21:41:10.1398633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1398941Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1399262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:41:10.1399637Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:41:10.1400005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 105, in forward 2025-08-14T21:41:10.1400329Z x = self.proj(x) 2025-08-14T21:41:10.1400434Z 2025-08-14T21:41:10.1400533Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1400879Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1401186Z return mod(*inputs) 2025-08-14T21:41:10.1401465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1401778Z xs = self.forward_features(x) 2025-08-14T21:41:10.1402104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1402418Z xs = blk(xs) 2025-08-14T21:41:10.1402691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1403015Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1403336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:41:10.1403697Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:41:10.1404063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-08-14T21:41:10.1404402Z x = F.scaled_dot_product_attention( 2025-08-14T21:41:10.1404529Z 2025-08-14T21:41:10.1404628Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1404970Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1405274Z return mod(*inputs) 2025-08-14T21:41:10.1405593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1405902Z xs = self.forward_features(x) 2025-08-14T21:41:10.1406248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1406579Z xs = blk(xs) 2025-08-14T21:41:10.1406856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1407174Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1407509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:41:10.1407886Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:41:10.1408220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:41:10.1408520Z x = self.fc1(x) 2025-08-14T21:41:10.1408612Z 2025-08-14T21:41:10.1408725Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1409078Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1409389Z return mod(*inputs) 2025-08-14T21:41:10.1409685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1410013Z xs = self.forward_features(x) 2025-08-14T21:41:10.1410336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1410667Z xs = blk(xs) 2025-08-14T21:41:10.1410946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1411259Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1411592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:41:10.1411974Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:41:10.1412353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 105, in forward 2025-08-14T21:41:10.1412689Z x = self.proj(x) 2025-08-14T21:41:10.1412795Z 2025-08-14T21:41:10.1412898Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1413249Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1413564Z return mod(*inputs) 2025-08-14T21:41:10.1413853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1414173Z xs = self.forward_features(x) 2025-08-14T21:41:10.1414505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1414830Z xs = blk(xs) 2025-08-14T21:41:10.1415113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1415435Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1415767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:41:10.1416149Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:41:10.1416479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:41:10.1416769Z x = self.act(x) 2025-08-14T21:41:10.1416858Z 2025-08-14T21:41:10.1416956Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1417298Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1417605Z return mod(*inputs) 2025-08-14T21:41:10.1417893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1418200Z xs = self.forward_features(x) 2025-08-14T21:41:10.1418560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1418882Z xs = blk(xs) 2025-08-14T21:41:10.1419152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1419489Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1419822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:41:10.1420204Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:41:10.1420538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:41:10.1420837Z x = self.fc1(x) 2025-08-14T21:41:10.1420927Z 2025-08-14T21:41:10.1421036Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1421383Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1421702Z return mod(*inputs) 2025-08-14T21:41:10.1422002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1422328Z xs = self.forward_features(x) 2025-08-14T21:41:10.1422657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1422989Z xs = blk(xs) 2025-08-14T21:41:10.1423277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1423589Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1423924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:41:10.1424394Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:41:10.1424758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:41:10.1425062Z x = self.fc2(x) 2025-08-14T21:41:10.1425172Z 2025-08-14T21:41:10.1425279Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1425643Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1425958Z return mod(*inputs) 2025-08-14T21:41:10.1426258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1426585Z xs = self.forward_features(x) 2025-08-14T21:41:10.1426923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1427253Z xs = blk(xs) 2025-08-14T21:41:10.1427537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1427864Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1428191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:41:10.1428576Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:41:10.1428936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:41:10.1429234Z x = self.act(x) 2025-08-14T21:41:10.1429329Z 2025-08-14T21:41:10.1429433Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1429791Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1430119Z return mod(*inputs) 2025-08-14T21:41:10.1430415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1430741Z xs = self.forward_features(x) 2025-08-14T21:41:10.1431081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1431419Z xs = blk(xs) 2025-08-14T21:41:10.1431745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 257, in forward 2025-08-14T21:41:10.1432097Z proj_cls_token.append(proj(outs_b[i][:, 0:1, ...])) 2025-08-14T21:41:10.1432250Z 2025-08-14T21:41:10.1432377Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1432720Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1433035Z return mod(*inputs) 2025-08-14T21:41:10.1433327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1433645Z xs = self.forward_features(x) 2025-08-14T21:41:10.1433973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1434306Z xs = blk(xs) 2025-08-14T21:41:10.1434592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1434908Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1435255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:41:10.1435641Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:41:10.1435994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:41:10.1436281Z x = self.fc2(x) 2025-08-14T21:41:10.1436379Z 2025-08-14T21:41:10.1436458Z cudagraph partition due to non gpu ops 2025-08-14T21:41:10.1436690Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1437028Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1437339Z return mod(*inputs) 2025-08-14T21:41:10.1437629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1437943Z xs = self.forward_features(x) 2025-08-14T21:41:10.1438268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1438595Z xs = blk(xs) 2025-08-14T21:41:10.1438876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1439185Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1439513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:41:10.1439891Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:41:10.1440262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 88, in forward 2025-08-14T21:41:10.1440667Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-08-14T21:41:10.1440870Z 2025-08-14T21:41:10.1440948Z cudagraph partition due to non gpu ops 2025-08-14T21:41:10.1441179Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1441529Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1441849Z return mod(*inputs) 2025-08-14T21:41:10.1442138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1442448Z xs = self.forward_features(x) 2025-08-14T21:41:10.1442765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1443089Z xs = blk(xs) 2025-08-14T21:41:10.1443364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1443676Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1443994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:41:10.1444367Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:41:10.1444760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-08-14T21:41:10.1445099Z x = F.scaled_dot_product_attention( 2025-08-14T21:41:10.1445252Z 2025-08-14T21:41:10.1445352Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1445695Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1446003Z return mod(*inputs) 2025-08-14T21:41:10.1446284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1446597Z xs = self.forward_features(x) 2025-08-14T21:41:10.1446924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1447241Z xs = blk(xs) 2025-08-14T21:41:10.1447519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1447829Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1448157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:41:10.1448523Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:41:10.1448892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 105, in forward 2025-08-14T21:41:10.1449225Z x = self.proj(x) 2025-08-14T21:41:10.1449322Z 2025-08-14T21:41:10.1449422Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1449766Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1450090Z return mod(*inputs) 2025-08-14T21:41:10.1450371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1450672Z xs = self.forward_features(x) 2025-08-14T21:41:10.1450997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1451313Z xs = blk(xs) 2025-08-14T21:41:10.1451582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1451893Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1452211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:41:10.1452571Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:41:10.1452891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:41:10.1453178Z x = self.fc1(x) 2025-08-14T21:41:10.1453266Z 2025-08-14T21:41:10.1453370Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1453697Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1454003Z return mod(*inputs) 2025-08-14T21:41:10.1454289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1454614Z xs = self.forward_features(x) 2025-08-14T21:41:10.1454927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1455240Z xs = blk(xs) 2025-08-14T21:41:10.1455510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1455813Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1456138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:41:10.1456508Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:41:10.1456837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:41:10.1457123Z x = self.act(x) 2025-08-14T21:41:10.1457220Z 2025-08-14T21:41:10.1457350Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1457693Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1458025Z return mod(*inputs) 2025-08-14T21:41:10.1458309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1458630Z xs = self.forward_features(x) 2025-08-14T21:41:10.1458967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1459291Z xs = blk(xs) 2025-08-14T21:41:10.1459575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1459896Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1460220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:41:10.1460602Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:41:10.1460942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:41:10.1461241Z x = self.fc2(x) 2025-08-14T21:41:10.1461333Z 2025-08-14T21:41:10.1461434Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1461785Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1462102Z return mod(*inputs) 2025-08-14T21:41:10.1462395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1462707Z xs = self.forward_features(x) 2025-08-14T21:41:10.1463037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1463362Z xs = blk(xs) 2025-08-14T21:41:10.1463641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1463962Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1464365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:41:10.1464761Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:41:10.1464924Z 2025-08-14T21:41:10.1465037Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1465424Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1465763Z return mod(*inputs) 2025-08-14T21:41:10.1466053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1466381Z xs = self.forward_features(x) 2025-08-14T21:41:10.1466722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1467064Z xs = blk(xs) 2025-08-14T21:41:10.1467341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1467685Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1468020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:41:10.1468398Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:41:10.1468796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 88, in forward 2025-08-14T21:41:10.1469226Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-08-14T21:41:10.1469430Z 2025-08-14T21:41:10.1469526Z cudagraph partition due to non gpu ops 2025-08-14T21:41:10.1469755Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1470111Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1470430Z return mod(*inputs) 2025-08-14T21:41:10.1470749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1471075Z xs = self.forward_features(x) 2025-08-14T21:41:10.1471427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1471760Z xs = blk(xs) 2025-08-14T21:41:10.1472038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1472356Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1472689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:41:10.1473152Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:41:10.1473533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-08-14T21:41:10.1473890Z x = F.scaled_dot_product_attention( 2025-08-14T21:41:10.1474026Z 2025-08-14T21:41:10.1474138Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1474486Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1474807Z return mod(*inputs) 2025-08-14T21:41:10.1475104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1475427Z xs = self.forward_features(x) 2025-08-14T21:41:10.1475758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1476093Z xs = blk(xs) 2025-08-14T21:41:10.1476379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1476695Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1477035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:41:10.1477421Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:41:10.1477802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 105, in forward 2025-08-14T21:41:10.1478137Z x = self.proj(x) 2025-08-14T21:41:10.1478234Z 2025-08-14T21:41:10.1478476Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1478824Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1479121Z return mod(*inputs) 2025-08-14T21:41:10.1479412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1479730Z xs = self.forward_features(x) 2025-08-14T21:41:10.1480058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1480378Z xs = blk(xs) 2025-08-14T21:41:10.1480661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1481038Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1481361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:41:10.1481734Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:41:10.1482067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:41:10.1482362Z x = self.fc1(x) 2025-08-14T21:41:10.1482455Z 2025-08-14T21:41:10.1482555Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1482900Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1483209Z return mod(*inputs) 2025-08-14T21:41:10.1483492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1483864Z xs = self.forward_features(x) 2025-08-14T21:41:10.1484194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1484548Z xs = blk(xs) 2025-08-14T21:41:10.1484809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1485115Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1485432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:41:10.1485783Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:41:10.1486107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:41:10.1486392Z x = self.act(x) 2025-08-14T21:41:10.1486478Z 2025-08-14T21:41:10.1486583Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1486912Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1487212Z return mod(*inputs) 2025-08-14T21:41:10.1487495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1487795Z xs = self.forward_features(x) 2025-08-14T21:41:10.1488112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1488425Z xs = blk(xs) 2025-08-14T21:41:10.1488694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1488993Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1489310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:41:10.1489675Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:41:10.1489991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:41:10.1490062Z x = self.fc2(x) 2025-08-14T21:41:10.1490065Z 2025-08-14T21:41:10.1490168Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1490364Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1490427Z return mod(*inputs) 2025-08-14T21:41:10.1490610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1490686Z xs = self.forward_features(x) 2025-08-14T21:41:10.1490895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1490953Z xs = blk(xs) 2025-08-14T21:41:10.1491143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 262, in forward 2025-08-14T21:41:10.1491296Z tmp = torch.cat((proj_cls_token[i], outs_b[(i + 1) % self.num_branches][:, 1:, ...]), dim=1) 2025-08-14T21:41:10.1491299Z 2025-08-14T21:41:10.1491407Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1491645Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1491711Z return mod(*inputs) 2025-08-14T21:41:10.1491905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1491975Z xs = self.forward_features(x) 2025-08-14T21:41:10.1492194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1492253Z xs = blk(xs) 2025-08-14T21:41:10.1492438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 257, in forward 2025-08-14T21:41:10.1492544Z proj_cls_token.append(proj(outs_b[i][:, 0:1, ...])) 2025-08-14T21:41:10.1492548Z 2025-08-14T21:41:10.1492630Z cudagraph partition due to non gpu ops 2025-08-14T21:41:10.1492760Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1492955Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1493035Z return mod(*inputs) 2025-08-14T21:41:10.1493224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1493291Z xs = self.forward_features(x) 2025-08-14T21:41:10.1493501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1493563Z xs = blk(xs) 2025-08-14T21:41:10.1493746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 262, in forward 2025-08-14T21:41:10.1493892Z tmp = torch.cat((proj_cls_token[i], outs_b[(i + 1) % self.num_branches][:, 1:, ...]), dim=1) 2025-08-14T21:41:10.1493895Z 2025-08-14T21:41:10.1494001Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1494187Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1494260Z return mod(*inputs) 2025-08-14T21:41:10.1494445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1494514Z xs = self.forward_features(x) 2025-08-14T21:41:10.1494731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1494787Z xs = blk(xs) 2025-08-14T21:41:10.1494971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:41:10.1495042Z tmp = fusion(tmp) 2025-08-14T21:41:10.1495225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:41:10.1495328Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:41:10.1495512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 112, in forward 2025-08-14T21:41:10.1495663Z q = self.wq(x[:, 0:1, ...]).reshape(B, 1, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:41:10.1495669Z 2025-08-14T21:41:10.1495776Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1495962Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1496032Z return mod(*inputs) 2025-08-14T21:41:10.1496217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1496286Z xs = self.forward_features(x) 2025-08-14T21:41:10.1496501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1496559Z xs = blk(xs) 2025-08-14T21:41:10.1496742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:41:10.1496815Z tmp = fusion(tmp) 2025-08-14T21:41:10.1496996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:41:10.1497118Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:41:10.1497301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 114, in forward 2025-08-14T21:41:10.1497440Z k = self.wk(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:41:10.1497443Z 2025-08-14T21:41:10.1497548Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1497734Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1497803Z return mod(*inputs) 2025-08-14T21:41:10.1497987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1498054Z xs = self.forward_features(x) 2025-08-14T21:41:10.1498296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1498355Z xs = blk(xs) 2025-08-14T21:41:10.1498553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:41:10.1498622Z tmp = fusion(tmp) 2025-08-14T21:41:10.1498803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:41:10.1498902Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:41:10.1499083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 116, in forward 2025-08-14T21:41:10.1499217Z v = self.wv(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:41:10.1499220Z 2025-08-14T21:41:10.1499326Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1499513Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1499575Z return mod(*inputs) 2025-08-14T21:41:10.1499765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1499834Z xs = self.forward_features(x) 2025-08-14T21:41:10.1500047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1500104Z xs = blk(xs) 2025-08-14T21:41:10.1500286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:41:10.1500353Z tmp = fusion(tmp) 2025-08-14T21:41:10.1500535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:41:10.1500624Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:41:10.1500813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 122, in forward 2025-08-14T21:41:10.1500969Z x = (attn @ v).transpose(1, 2).reshape(B, 1, C) # (BH1N @ BHN(C/H)) -> BH1(C/H) -> B1H(C/H) -> B1C 2025-08-14T21:41:10.1500975Z 2025-08-14T21:41:10.1501079Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1501263Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1501326Z return mod(*inputs) 2025-08-14T21:41:10.1501518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1501585Z xs = self.forward_features(x) 2025-08-14T21:41:10.1501799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1501856Z xs = blk(xs) 2025-08-14T21:41:10.1502038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:41:10.1502107Z tmp = fusion(tmp) 2025-08-14T21:41:10.1502290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:41:10.1502397Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:41:10.1502589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 112, in forward 2025-08-14T21:41:10.1502732Z q = self.wq(x[:, 0:1, ...]).reshape(B, 1, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:41:10.1502736Z 2025-08-14T21:41:10.1502838Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1503022Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1503083Z return mod(*inputs) 2025-08-14T21:41:10.1503274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1503341Z xs = self.forward_features(x) 2025-08-14T21:41:10.1503579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1503646Z xs = blk(xs) 2025-08-14T21:41:10.1503851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:41:10.1503919Z tmp = fusion(tmp) 2025-08-14T21:41:10.1504101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:41:10.1504249Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:41:10.1504450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 114, in forward 2025-08-14T21:41:10.1504589Z k = self.wk(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:41:10.1504593Z 2025-08-14T21:41:10.1504706Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1504907Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1504973Z return mod(*inputs) 2025-08-14T21:41:10.1505187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1505260Z xs = self.forward_features(x) 2025-08-14T21:41:10.1505475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1505541Z xs = blk(xs) 2025-08-14T21:41:10.1505741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:41:10.1505811Z tmp = fusion(tmp) 2025-08-14T21:41:10.1505994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:41:10.1506085Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:41:10.1506279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 116, in forward 2025-08-14T21:41:10.1506414Z v = self.wv(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:41:10.1506418Z 2025-08-14T21:41:10.1506525Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1506713Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1506777Z return mod(*inputs) 2025-08-14T21:41:10.1506968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1507035Z xs = self.forward_features(x) 2025-08-14T21:41:10.1507244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1507310Z xs = blk(xs) 2025-08-14T21:41:10.1507493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:41:10.1507561Z tmp = fusion(tmp) 2025-08-14T21:41:10.1507746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:41:10.1507862Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:41:10.1508055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 123, in forward 2025-08-14T21:41:10.1508116Z x = self.proj(x) 2025-08-14T21:41:10.1508120Z 2025-08-14T21:41:10.1508218Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1508411Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1508472Z return mod(*inputs) 2025-08-14T21:41:10.1508664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1508730Z xs = self.forward_features(x) 2025-08-14T21:41:10.1508939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1509033Z xs = blk(xs) 2025-08-14T21:41:10.1509214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:41:10.1509298Z tmp = fusion(tmp) 2025-08-14T21:41:10.1509489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:41:10.1509579Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:41:10.1509766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 122, in forward 2025-08-14T21:41:10.1509919Z x = (attn @ v).transpose(1, 2).reshape(B, 1, C) # (BH1N @ BHN(C/H)) -> BH1(C/H) -> B1H(C/H) -> B1C 2025-08-14T21:41:10.1509923Z 2025-08-14T21:41:10.1510021Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1510214Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1510278Z return mod(*inputs) 2025-08-14T21:41:10.1510472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1510541Z xs = self.forward_features(x) 2025-08-14T21:41:10.1510752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1510815Z xs = blk(xs) 2025-08-14T21:41:10.1510998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 264, in forward 2025-08-14T21:41:10.1511105Z reverted_proj_cls_token = revert_proj(tmp[:, 0:1, ...]) 2025-08-14T21:41:10.1511109Z 2025-08-14T21:41:10.1511216Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1511398Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1511467Z return mod(*inputs) 2025-08-14T21:41:10.1511652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1511721Z xs = self.forward_features(x) 2025-08-14T21:41:10.1511936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1511995Z xs = blk(xs) 2025-08-14T21:41:10.1512180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:41:10.1512248Z tmp = fusion(tmp) 2025-08-14T21:41:10.1512433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:41:10.1512530Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:41:10.1512715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 123, in forward 2025-08-14T21:41:10.1512774Z x = self.proj(x) 2025-08-14T21:41:10.1512778Z 2025-08-14T21:41:10.1512862Z cudagraph partition due to non gpu ops 2025-08-14T21:41:10.1512959Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1513145Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1513235Z return mod(*inputs) 2025-08-14T21:41:10.1513418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1513491Z xs = self.forward_features(x) 2025-08-14T21:41:10.1513698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1513754Z xs = blk(xs) 2025-08-14T21:41:10.1513944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-08-14T21:41:10.1514072Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-08-14T21:41:10.1514076Z 2025-08-14T21:41:10.1514183Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1514400Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1514465Z return mod(*inputs) 2025-08-14T21:41:10.1514655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1514740Z xs = self.forward_features(x) 2025-08-14T21:41:10.1514961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1515024Z xs = blk(xs) 2025-08-14T21:41:10.1515205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 264, in forward 2025-08-14T21:41:10.1515316Z reverted_proj_cls_token = revert_proj(tmp[:, 0:1, ...]) 2025-08-14T21:41:10.1515319Z 2025-08-14T21:41:10.1515394Z cudagraph partition due to non gpu ops 2025-08-14T21:41:10.1515489Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1515678Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1515741Z return mod(*inputs) 2025-08-14T21:41:10.1515923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1515999Z xs = self.forward_features(x) 2025-08-14T21:41:10.1516207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1516269Z xs = blk(xs) 2025-08-14T21:41:10.1516449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-08-14T21:41:10.1516574Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-08-14T21:41:10.1516577Z 2025-08-14T21:41:10.1516679Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1516861Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1516921Z return mod(*inputs) 2025-08-14T21:41:10.1517114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1517178Z xs = self.forward_features(x) 2025-08-14T21:41:10.1517393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1517450Z xs = blk(xs) 2025-08-14T21:41:10.1517632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1517707Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1517922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:41:10.1518024Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:41:10.1518239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 88, in forward 2025-08-14T21:41:10.1518381Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-08-14T21:41:10.1518387Z 2025-08-14T21:41:10.1518471Z cudagraph partition due to non gpu ops 2025-08-14T21:41:10.1518585Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1518769Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1518835Z return mod(*inputs) 2025-08-14T21:41:10.1519016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1519088Z xs = self.forward_features(x) 2025-08-14T21:41:10.1519292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1519347Z xs = blk(xs) 2025-08-14T21:41:10.1519532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1519599Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1519842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:41:10.1519952Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:41:10.1520173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 88, in forward 2025-08-14T21:41:10.1520322Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-08-14T21:41:10.1520326Z 2025-08-14T21:41:10.1520423Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1520604Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1520673Z return mod(*inputs) 2025-08-14T21:41:10.1520854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1520922Z xs = self.forward_features(x) 2025-08-14T21:41:10.1521136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1521192Z xs = blk(xs) 2025-08-14T21:41:10.1521382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1521451Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1521662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:41:10.1521767Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:41:10.1521972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-08-14T21:41:10.1522055Z x = F.scaled_dot_product_attention( 2025-08-14T21:41:10.1522058Z 2025-08-14T21:41:10.1522134Z cudagraph partition due to non gpu ops 2025-08-14T21:41:10.1522231Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1522420Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1522484Z return mod(*inputs) 2025-08-14T21:41:10.1522665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1522743Z xs = self.forward_features(x) 2025-08-14T21:41:10.1522954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1523018Z xs = blk(xs) 2025-08-14T21:41:10.1523198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1523263Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1523474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:41:10.1523571Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:41:10.1523774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 105, in forward 2025-08-14T21:41:10.1523842Z x = self.proj(x) 2025-08-14T21:41:10.1523845Z 2025-08-14T21:41:10.1523958Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1524146Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1524206Z return mod(*inputs) 2025-08-14T21:41:10.1524386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1524459Z xs = self.forward_features(x) 2025-08-14T21:41:10.1524661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1524715Z xs = blk(xs) 2025-08-14T21:41:10.1524903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1524969Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1525221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:41:10.1525321Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:41:10.1525526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-08-14T21:41:10.1525626Z x = F.scaled_dot_product_attention( 2025-08-14T21:41:10.1525629Z 2025-08-14T21:41:10.1525727Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1525917Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1525978Z return mod(*inputs) 2025-08-14T21:41:10.1526172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1526244Z xs = self.forward_features(x) 2025-08-14T21:41:10.1526446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1526501Z xs = blk(xs) 2025-08-14T21:41:10.1526688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1526756Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1526968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:41:10.1527068Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:41:10.1527237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:41:10.1527301Z x = self.fc1(x) 2025-08-14T21:41:10.1527304Z 2025-08-14T21:41:10.1527400Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1527577Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1527646Z return mod(*inputs) 2025-08-14T21:41:10.1527822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1527896Z xs = self.forward_features(x) 2025-08-14T21:41:10.1528097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1528153Z xs = blk(xs) 2025-08-14T21:41:10.1528336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1528400Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1528602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:41:10.1528707Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:41:10.1528909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 105, in forward 2025-08-14T21:41:10.1528974Z x = self.proj(x) 2025-08-14T21:41:10.1528977Z 2025-08-14T21:41:10.1529072Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1529253Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1529335Z return mod(*inputs) 2025-08-14T21:41:10.1529516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1529579Z xs = self.forward_features(x) 2025-08-14T21:41:10.1529789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1529844Z xs = blk(xs) 2025-08-14T21:41:10.1530028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1530091Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1530292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:41:10.1530397Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:41:10.1530595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:41:10.1530658Z x = self.act(x) 2025-08-14T21:41:10.1530686Z 2025-08-14T21:41:10.1530782Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1530962Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1531030Z return mod(*inputs) 2025-08-14T21:41:10.1531208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1531274Z xs = self.forward_features(x) 2025-08-14T21:41:10.1531482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1531537Z xs = blk(xs) 2025-08-14T21:41:10.1531723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1531789Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1531993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:41:10.1532099Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:41:10.1532269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:41:10.1532327Z x = self.fc1(x) 2025-08-14T21:41:10.1532330Z 2025-08-14T21:41:10.1532435Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1532615Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1532681Z return mod(*inputs) 2025-08-14T21:41:10.1532861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1532926Z xs = self.forward_features(x) 2025-08-14T21:41:10.1533134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1533193Z xs = blk(xs) 2025-08-14T21:41:10.1533372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1533448Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1533651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:41:10.1533755Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:41:10.1533921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:41:10.1533979Z x = self.fc2(x) 2025-08-14T21:41:10.1533983Z 2025-08-14T21:41:10.1534087Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1534271Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1534333Z return mod(*inputs) 2025-08-14T21:41:10.1534534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1534618Z xs = self.forward_features(x) 2025-08-14T21:41:10.1534831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1534887Z xs = blk(xs) 2025-08-14T21:41:10.1535070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1535143Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1535354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:41:10.1535453Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:41:10.1535636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:41:10.1535695Z x = self.act(x) 2025-08-14T21:41:10.1535698Z 2025-08-14T21:41:10.1535832Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1536017Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1536095Z return mod(*inputs) 2025-08-14T21:41:10.1536286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1536353Z xs = self.forward_features(x) 2025-08-14T21:41:10.1536570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1536625Z xs = blk(xs) 2025-08-14T21:41:10.1536818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 257, in forward 2025-08-14T21:41:10.1536920Z proj_cls_token.append(proj(outs_b[i][:, 0:1, ...])) 2025-08-14T21:41:10.1536923Z 2025-08-14T21:41:10.1537018Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1537198Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1537267Z return mod(*inputs) 2025-08-14T21:41:10.1537447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1537522Z xs = self.forward_features(x) 2025-08-14T21:41:10.1537723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1537778Z xs = blk(xs) 2025-08-14T21:41:10.1537964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1538030Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1538236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:41:10.1538339Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:41:10.1538506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:41:10.1538573Z x = self.fc2(x) 2025-08-14T21:41:10.1538576Z 2025-08-14T21:41:10.1538653Z cudagraph partition due to non gpu ops 2025-08-14T21:41:10.1538750Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1538939Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1538999Z return mod(*inputs) 2025-08-14T21:41:10.1539177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1539249Z xs = self.forward_features(x) 2025-08-14T21:41:10.1539451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1539512Z xs = blk(xs) 2025-08-14T21:41:10.1539694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1539759Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1539977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:41:10.1540095Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:41:10.1540306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 88, in forward 2025-08-14T21:41:10.1540458Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-08-14T21:41:10.1540461Z 2025-08-14T21:41:10.1540538Z cudagraph partition due to non gpu ops 2025-08-14T21:41:10.1540642Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1540829Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1540891Z return mod(*inputs) 2025-08-14T21:41:10.1541089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1541155Z xs = self.forward_features(x) 2025-08-14T21:41:10.1541399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1541472Z xs = blk(xs) 2025-08-14T21:41:10.1541663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1541736Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1541950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:41:10.1542051Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:41:10.1542270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-08-14T21:41:10.1542346Z x = F.scaled_dot_product_attention( 2025-08-14T21:41:10.1542349Z 2025-08-14T21:41:10.1542454Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1542646Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1542709Z return mod(*inputs) 2025-08-14T21:41:10.1542909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1542979Z xs = self.forward_features(x) 2025-08-14T21:41:10.1543191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1543255Z xs = blk(xs) 2025-08-14T21:41:10.1543445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1543519Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1543732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:41:10.1543831Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:41:10.1544058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 105, in forward 2025-08-14T21:41:10.1544119Z x = self.proj(x) 2025-08-14T21:41:10.1544123Z 2025-08-14T21:41:10.1544298Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1544487Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1544550Z return mod(*inputs) 2025-08-14T21:41:10.1544749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1544820Z xs = self.forward_features(x) 2025-08-14T21:41:10.1545039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1545108Z xs = blk(xs) 2025-08-14T21:41:10.1545303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1545383Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1545616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:41:10.1545741Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:41:10.1545930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:41:10.1545995Z x = self.fc1(x) 2025-08-14T21:41:10.1545998Z 2025-08-14T21:41:10.1546100Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1546305Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1546369Z return mod(*inputs) 2025-08-14T21:41:10.1546574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1546641Z xs = self.forward_features(x) 2025-08-14T21:41:10.1546846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1546947Z xs = blk(xs) 2025-08-14T21:41:10.1547131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1547216Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1547434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:41:10.1547533Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:41:10.1547715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:41:10.1547775Z x = self.act(x) 2025-08-14T21:41:10.1547778Z 2025-08-14T21:41:10.1547876Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1548069Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1548131Z return mod(*inputs) 2025-08-14T21:41:10.1548319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1548394Z xs = self.forward_features(x) 2025-08-14T21:41:10.1548602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1548668Z xs = blk(xs) 2025-08-14T21:41:10.1548852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1548918Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1549135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:41:10.1549233Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:41:10.1549406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:41:10.1549472Z x = self.fc2(x) 2025-08-14T21:41:10.1549475Z 2025-08-14T21:41:10.1549573Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1549769Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1549832Z return mod(*inputs) 2025-08-14T21:41:10.1550018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1550094Z xs = self.forward_features(x) 2025-08-14T21:41:10.1550307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1550371Z xs = blk(xs) 2025-08-14T21:41:10.1550557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1550624Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1550841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:41:10.1550938Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:41:10.1550942Z 2025-08-14T21:41:10.1551043Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1551256Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1551318Z return mod(*inputs) 2025-08-14T21:41:10.1551512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1551580Z xs = self.forward_features(x) 2025-08-14T21:41:10.1551791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1551855Z xs = blk(xs) 2025-08-14T21:41:10.1552040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1552106Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1552325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:41:10.1552454Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:41:10.1552670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 88, in forward 2025-08-14T21:41:10.1552835Z qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-08-14T21:41:10.1552839Z 2025-08-14T21:41:10.1552915Z cudagraph partition due to non gpu ops 2025-08-14T21:41:10.1553019Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1553207Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1553276Z return mod(*inputs) 2025-08-14T21:41:10.1553462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1553529Z xs = self.forward_features(x) 2025-08-14T21:41:10.1553739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1553799Z xs = blk(xs) 2025-08-14T21:41:10.1553982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1554058Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1554269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:41:10.1554374Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:41:10.1554583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-08-14T21:41:10.1554657Z x = F.scaled_dot_product_attention( 2025-08-14T21:41:10.1554661Z 2025-08-14T21:41:10.1554767Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1554954Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1555016Z return mod(*inputs) 2025-08-14T21:41:10.1555212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1555280Z xs = self.forward_features(x) 2025-08-14T21:41:10.1555495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1555551Z xs = blk(xs) 2025-08-14T21:41:10.1555733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1555807Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1556018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-08-14T21:41:10.1556116Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-08-14T21:41:10.1556335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 105, in forward 2025-08-14T21:41:10.1556396Z x = self.proj(x) 2025-08-14T21:41:10.1556400Z 2025-08-14T21:41:10.1556509Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1556696Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1556778Z return mod(*inputs) 2025-08-14T21:41:10.1556971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1557039Z xs = self.forward_features(x) 2025-08-14T21:41:10.1557250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1557314Z xs = blk(xs) 2025-08-14T21:41:10.1557500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1557574Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1557784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:41:10.1557911Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:41:10.1558093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:41:10.1558170Z x = self.fc1(x) 2025-08-14T21:41:10.1558174Z 2025-08-14T21:41:10.1558279Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1558464Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1558527Z return mod(*inputs) 2025-08-14T21:41:10.1558718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1558785Z xs = self.forward_features(x) 2025-08-14T21:41:10.1558990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1559055Z xs = blk(xs) 2025-08-14T21:41:10.1559239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1559317Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1559526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:41:10.1559626Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:41:10.1559806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:41:10.1559867Z x = self.act(x) 2025-08-14T21:41:10.1559870Z 2025-08-14T21:41:10.1559969Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1560163Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1560225Z return mod(*inputs) 2025-08-14T21:41:10.1560414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1560482Z xs = self.forward_features(x) 2025-08-14T21:41:10.1560691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1560760Z xs = blk(xs) 2025-08-14T21:41:10.1560945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 252, in forward 2025-08-14T21:41:10.1561011Z outs_b.append(block(x[i])) 2025-08-14T21:41:10.1561229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 170, in forward 2025-08-14T21:41:10.1561327Z x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) 2025-08-14T21:41:10.1561505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:41:10.1561564Z x = self.fc2(x) 2025-08-14T21:41:10.1561567Z 2025-08-14T21:41:10.1561665Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1561856Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1561923Z return mod(*inputs) 2025-08-14T21:41:10.1562108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1562202Z xs = self.forward_features(x) 2025-08-14T21:41:10.1562406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1562469Z xs = blk(xs) 2025-08-14T21:41:10.1562651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 262, in forward 2025-08-14T21:41:10.1562800Z tmp = torch.cat((proj_cls_token[i], outs_b[(i + 1) % self.num_branches][:, 1:, ...]), dim=1) 2025-08-14T21:41:10.1562803Z 2025-08-14T21:41:10.1562909Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1563093Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1563164Z return mod(*inputs) 2025-08-14T21:41:10.1563384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1563455Z xs = self.forward_features(x) 2025-08-14T21:41:10.1563673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1563747Z xs = blk(xs) 2025-08-14T21:41:10.1563932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 257, in forward 2025-08-14T21:41:10.1564038Z proj_cls_token.append(proj(outs_b[i][:, 0:1, ...])) 2025-08-14T21:41:10.1564042Z 2025-08-14T21:41:10.1564117Z cudagraph partition due to non gpu ops 2025-08-14T21:41:10.1564220Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1564404Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1564465Z return mod(*inputs) 2025-08-14T21:41:10.1564658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1564727Z xs = self.forward_features(x) 2025-08-14T21:41:10.1564942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1565009Z xs = blk(xs) 2025-08-14T21:41:10.1565197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 262, in forward 2025-08-14T21:41:10.1565352Z tmp = torch.cat((proj_cls_token[i], outs_b[(i + 1) % self.num_branches][:, 1:, ...]), dim=1) 2025-08-14T21:41:10.1565356Z 2025-08-14T21:41:10.1565454Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1565645Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1565715Z return mod(*inputs) 2025-08-14T21:41:10.1565907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1565982Z xs = self.forward_features(x) 2025-08-14T21:41:10.1566198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1566258Z xs = blk(xs) 2025-08-14T21:41:10.1566453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:41:10.1566515Z tmp = fusion(tmp) 2025-08-14T21:41:10.1566707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:41:10.1566813Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:41:10.1567002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 112, in forward 2025-08-14T21:41:10.1567170Z q = self.wq(x[:, 0:1, ...]).reshape(B, 1, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:41:10.1567174Z 2025-08-14T21:41:10.1567270Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1567459Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1567552Z return mod(*inputs) 2025-08-14T21:41:10.1567738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1567807Z xs = self.forward_features(x) 2025-08-14T21:41:10.1568028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1568085Z xs = blk(xs) 2025-08-14T21:41:10.1568278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:41:10.1568341Z tmp = fusion(tmp) 2025-08-14T21:41:10.1568529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:41:10.1568634Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:41:10.1568912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 114, in forward 2025-08-14T21:41:10.1569058Z k = self.wk(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:41:10.1569087Z 2025-08-14T21:41:10.1569190Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1569380Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1569451Z return mod(*inputs) 2025-08-14T21:41:10.1569637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1569705Z xs = self.forward_features(x) 2025-08-14T21:41:10.1569925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1569982Z xs = blk(xs) 2025-08-14T21:41:10.1570179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:41:10.1570242Z tmp = fusion(tmp) 2025-08-14T21:41:10.1570433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:41:10.1570539Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:41:10.1570729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 116, in forward 2025-08-14T21:41:10.1570869Z v = self.wv(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:41:10.1570880Z 2025-08-14T21:41:10.1570981Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1571170Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1571242Z return mod(*inputs) 2025-08-14T21:41:10.1571433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1571504Z xs = self.forward_features(x) 2025-08-14T21:41:10.1571728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1571788Z xs = blk(xs) 2025-08-14T21:41:10.1571980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:41:10.1572049Z tmp = fusion(tmp) 2025-08-14T21:41:10.1572236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:41:10.1572340Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:41:10.1572529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 122, in forward 2025-08-14T21:41:10.1572690Z x = (attn @ v).transpose(1, 2).reshape(B, 1, C) # (BH1N @ BHN(C/H)) -> BH1(C/H) -> B1H(C/H) -> B1C 2025-08-14T21:41:10.1572694Z 2025-08-14T21:41:10.1572803Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1572999Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1573070Z return mod(*inputs) 2025-08-14T21:41:10.1573287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1573357Z xs = self.forward_features(x) 2025-08-14T21:41:10.1573575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1573633Z xs = blk(xs) 2025-08-14T21:41:10.1573819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:41:10.1573889Z tmp = fusion(tmp) 2025-08-14T21:41:10.1574075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:41:10.1574172Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:41:10.1574392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 112, in forward 2025-08-14T21:41:10.1574537Z q = self.wq(x[:, 0:1, ...]).reshape(B, 1, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:41:10.1574591Z 2025-08-14T21:41:10.1574701Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1574889Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1574959Z return mod(*inputs) 2025-08-14T21:41:10.1575148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1575217Z xs = self.forward_features(x) 2025-08-14T21:41:10.1575435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1575494Z xs = blk(xs) 2025-08-14T21:41:10.1575681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:41:10.1575753Z tmp = fusion(tmp) 2025-08-14T21:41:10.1575942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:41:10.1576043Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:41:10.1576230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 114, in forward 2025-08-14T21:41:10.1576367Z k = self.wk(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:41:10.1576371Z 2025-08-14T21:41:10.1576481Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1576671Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1576734Z return mod(*inputs) 2025-08-14T21:41:10.1576928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1576997Z xs = self.forward_features(x) 2025-08-14T21:41:10.1577219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1577279Z xs = blk(xs) 2025-08-14T21:41:10.1577466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:41:10.1577540Z tmp = fusion(tmp) 2025-08-14T21:41:10.1577730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:41:10.1577824Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:41:10.1578020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 116, in forward 2025-08-14T21:41:10.1578157Z v = self.wv(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-08-14T21:41:10.1578160Z 2025-08-14T21:41:10.1578265Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1578618Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1578688Z return mod(*inputs) 2025-08-14T21:41:10.1578930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1579002Z xs = self.forward_features(x) 2025-08-14T21:41:10.1579221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1579280Z xs = blk(xs) 2025-08-14T21:41:10.1579469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:41:10.1579538Z tmp = fusion(tmp) 2025-08-14T21:41:10.1579727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:41:10.1579818Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:41:10.1580018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 123, in forward 2025-08-14T21:41:10.1580122Z x = self.proj(x) 2025-08-14T21:41:10.1580127Z 2025-08-14T21:41:10.1580233Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1580441Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1580502Z return mod(*inputs) 2025-08-14T21:41:10.1580693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1580761Z xs = self.forward_features(x) 2025-08-14T21:41:10.1580971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1581035Z xs = blk(xs) 2025-08-14T21:41:10.1581220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:41:10.1581289Z tmp = fusion(tmp) 2025-08-14T21:41:10.1581473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:41:10.1581565Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:41:10.1581759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 122, in forward 2025-08-14T21:41:10.1581912Z x = (attn @ v).transpose(1, 2).reshape(B, 1, C) # (BH1N @ BHN(C/H)) -> BH1(C/H) -> B1H(C/H) -> B1C 2025-08-14T21:41:10.1581916Z 2025-08-14T21:41:10.1582020Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1582206Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1582269Z return mod(*inputs) 2025-08-14T21:41:10.1582467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1582536Z xs = self.forward_features(x) 2025-08-14T21:41:10.1582747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1582815Z xs = blk(xs) 2025-08-14T21:41:10.1583001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 264, in forward 2025-08-14T21:41:10.1583117Z reverted_proj_cls_token = revert_proj(tmp[:, 0:1, ...]) 2025-08-14T21:41:10.1583121Z 2025-08-14T21:41:10.1583218Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1583404Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1583475Z return mod(*inputs) 2025-08-14T21:41:10.1583658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1583726Z xs = self.forward_features(x) 2025-08-14T21:41:10.1583946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1584005Z xs = blk(xs) 2025-08-14T21:41:10.1584320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 263, in forward 2025-08-14T21:41:10.1584392Z tmp = fusion(tmp) 2025-08-14T21:41:10.1584607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 155, in forward 2025-08-14T21:41:10.1584716Z x = x[:, 0:1, ...] + self.drop_path(self.attn(self.norm1(x))) 2025-08-14T21:41:10.1584911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 123, in forward 2025-08-14T21:41:10.1584977Z x = self.proj(x) 2025-08-14T21:41:10.1584989Z 2025-08-14T21:41:10.1585082Z cudagraph partition due to non gpu ops 2025-08-14T21:41:10.1585183Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1585381Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1585445Z return mod(*inputs) 2025-08-14T21:41:10.1585637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1585748Z xs = self.forward_features(x) 2025-08-14T21:41:10.1585971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1586056Z xs = blk(xs) 2025-08-14T21:41:10.1586251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-08-14T21:41:10.1586381Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-08-14T21:41:10.1586385Z 2025-08-14T21:41:10.1586492Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1586678Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1586739Z return mod(*inputs) 2025-08-14T21:41:10.1586932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1587000Z xs = self.forward_features(x) 2025-08-14T21:41:10.1587219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1587278Z xs = blk(xs) 2025-08-14T21:41:10.1587461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 264, in forward 2025-08-14T21:41:10.1587577Z reverted_proj_cls_token = revert_proj(tmp[:, 0:1, ...]) 2025-08-14T21:41:10.1587580Z 2025-08-14T21:41:10.1587678Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1587864Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1587933Z return mod(*inputs) 2025-08-14T21:41:10.1588117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 463, in forward 2025-08-14T21:41:10.1588192Z x = self.forward_head(xs) 2025-08-14T21:41:10.1588395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 456, in forward_head 2025-08-14T21:41:10.1588475Z xs = [self.head_drop(x) for x in xs] 2025-08-14T21:41:10.1588682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 456, in 2025-08-14T21:41:10.1588761Z xs = [self.head_drop(x) for x in xs] 2025-08-14T21:41:10.1588764Z 2025-08-14T21:41:10.1588841Z cudagraph partition due to non gpu ops 2025-08-14T21:41:10.1588946Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1589130Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1589199Z return mod(*inputs) 2025-08-14T21:41:10.1589382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 462, in forward 2025-08-14T21:41:10.1589451Z xs = self.forward_features(x) 2025-08-14T21:41:10.1589665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 448, in forward_features 2025-08-14T21:41:10.1589724Z xs = blk(xs) 2025-08-14T21:41:10.1589909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 265, in forward 2025-08-14T21:41:10.1590059Z tmp = torch.cat((reverted_proj_cls_token, outs_b[i][:, 1:, ...]), dim=1) 2025-08-14T21:41:10.1590065Z 2025-08-14T21:41:10.1590205Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1590396Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1590459Z return mod(*inputs) 2025-08-14T21:41:10.1590655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 463, in forward 2025-08-14T21:41:10.1590725Z x = self.forward_head(xs) 2025-08-14T21:41:10.1590928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in forward_head 2025-08-14T21:41:10.1591104Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-08-14T21:41:10.1591333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in 2025-08-14T21:41:10.1591503Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-08-14T21:41:10.1591522Z 2025-08-14T21:41:10.1591621Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1591804Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1591874Z return mod(*inputs) 2025-08-14T21:41:10.1592058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 463, in forward 2025-08-14T21:41:10.1592127Z x = self.forward_head(xs) 2025-08-14T21:41:10.1592333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 456, in forward_head 2025-08-14T21:41:10.1592408Z xs = [self.head_drop(x) for x in xs] 2025-08-14T21:41:10.1592612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 456, in 2025-08-14T21:41:10.1592688Z xs = [self.head_drop(x) for x in xs] 2025-08-14T21:41:10.1592693Z 2025-08-14T21:41:10.1592791Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1592985Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1593047Z return mod(*inputs) 2025-08-14T21:41:10.1593231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 463, in forward 2025-08-14T21:41:10.1593307Z x = self.forward_head(xs) 2025-08-14T21:41:10.1593507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in forward_head 2025-08-14T21:41:10.1593674Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-08-14T21:41:10.1593869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in 2025-08-14T21:41:10.1594027Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-08-14T21:41:10.1594032Z 2025-08-14T21:41:10.1594138Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1594323Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1594393Z return mod(*inputs) 2025-08-14T21:41:10.1594578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 463, in forward 2025-08-14T21:41:10.1594647Z x = self.forward_head(xs) 2025-08-14T21:41:10.1594852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in forward_head 2025-08-14T21:41:10.1595010Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-08-14T21:41:10.1595013Z 2025-08-14T21:41:10.1595118Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:41:10.1595304Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:41:10.1595367Z return mod(*inputs) 2025-08-14T21:41:10.1595574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 463, in forward 2025-08-14T21:41:10.1595641Z x = self.forward_head(xs) 2025-08-14T21:41:10.1595838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/crossvit.py", line 459, in forward_head 2025-08-14T21:41:10.1596001Z return torch.mean(torch.stack([head(xs[i]) for i, head in enumerate(self.head)], dim=0), dim=0) 2025-08-14T21:41:10.1596004Z 2025-08-14T21:41:21.4305282Z Compilation time (from dynamo_timed): 21.115433928 2025-08-14T21:41:21.4308873Z pass 2025-08-14T21:41:21.4314819Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:41:21.4317318Z TIMING: _recursive_pre_grad_passes:0.25584 _recursive_joint_graph_passes:0.48789 _recursive_post_grad_passes:0.1261 async_compile.wait:0.72074 code_gen:11.15593 inductor_compile:13.55549 backend_compile:18.00269 gc:0.0023 entire_frame_compile:21.11543 total_wall_time:21.11543 2025-08-14T21:41:21.4318345Z STATS: call_* op count: 487 | FakeTensorMode.__torch_dispatch__:20187 | FakeTensor.__torch_dispatch__:8817 | ProxyTorchDispatchMode.__torch_dispatch__:7548 2025-08-14T21:41:21.4318953Z Dynamo produced 1 graphs covering 487 ops with 0 graph breaks (0 unique) 2025-08-14T21:41:26.2571173Z 2025-08-14T21:41:26.5445142Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:41:26.5445375Z 2025-08-14T21:41:26.6493982Z model.safetensors: 0% 0.00/111M [00:00 2025-08-14T21:49:38.5212156Z xl = [t(x) for i, t in enumerate(self.transition1)] 2025-08-14T21:49:38.5212305Z 2025-08-14T21:49:38.5212414Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5212771Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5213113Z return mod(*inputs) 2025-08-14T21:49:38.5213423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5213751Z y = self.forward_features(x) 2025-08-14T21:49:38.5214089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5214428Z yl = self.stages(x) 2025-08-14T21:49:38.5214706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 750, in stages 2025-08-14T21:49:38.5215053Z xl = [t(x) for i, t in enumerate(self.transition1)] 2025-08-14T21:49:38.5215405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 750, in 2025-08-14T21:49:38.5215749Z xl = [t(x) for i, t in enumerate(self.transition1)] 2025-08-14T21:49:38.5215898Z 2025-08-14T21:49:38.5216016Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5216376Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5216693Z return mod(*inputs) 2025-08-14T21:49:38.5216971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5217283Z y = self.forward_features(x) 2025-08-14T21:49:38.5217623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5217963Z yl = self.stages(x) 2025-08-14T21:49:38.5218242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:49:38.5218558Z yl = self.stage2(xl) 2025-08-14T21:49:38.5218857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5219158Z x = module(x) 2025-08-14T21:49:38.5219451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5219773Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5220062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5220378Z x = self.conv1(x) 2025-08-14T21:49:38.5220481Z 2025-08-14T21:49:38.5220583Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5220953Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5221274Z return mod(*inputs) 2025-08-14T21:49:38.5221565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5221885Z y = self.forward_features(x) 2025-08-14T21:49:38.5222236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5222578Z yl = self.stages(x) 2025-08-14T21:49:38.5222868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:49:38.5223186Z yl = self.stage2(xl) 2025-08-14T21:49:38.5223483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5223811Z x = module(x) 2025-08-14T21:49:38.5224116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5224525Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5224845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5225177Z x = self.act1(x) 2025-08-14T21:49:38.5225290Z 2025-08-14T21:49:38.5225405Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5225766Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5226093Z return mod(*inputs) 2025-08-14T21:49:38.5226391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5226732Z y = self.forward_features(x) 2025-08-14T21:49:38.5227127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5227471Z yl = self.stages(x) 2025-08-14T21:49:38.5227759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:49:38.5228061Z yl = self.stage2(xl) 2025-08-14T21:49:38.5228358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5228664Z x = module(x) 2025-08-14T21:49:38.5228939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5229264Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5229576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5229898Z x = self.conv2(x) 2025-08-14T21:49:38.5229998Z 2025-08-14T21:49:38.5230101Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5230467Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5230787Z return mod(*inputs) 2025-08-14T21:49:38.5231069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5231387Z y = self.forward_features(x) 2025-08-14T21:49:38.5231721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5232059Z yl = self.stages(x) 2025-08-14T21:49:38.5232338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:49:38.5232648Z yl = self.stage2(xl) 2025-08-14T21:49:38.5232938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5233242Z x = module(x) 2025-08-14T21:49:38.5233534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5233862Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5234175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5234481Z x = self.act2(x) 2025-08-14T21:49:38.5234582Z 2025-08-14T21:49:38.5234686Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5235043Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5235353Z return mod(*inputs) 2025-08-14T21:49:38.5235659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5236029Z y = self.forward_features(x) 2025-08-14T21:49:38.5236367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5236706Z yl = self.stages(x) 2025-08-14T21:49:38.5236991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:49:38.5237313Z yl = self.stage2(xl) 2025-08-14T21:49:38.5237602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5237917Z x = module(x) 2025-08-14T21:49:38.5238215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5238539Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5238883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5239209Z x = self.conv1(x) 2025-08-14T21:49:38.5239309Z 2025-08-14T21:49:38.5239417Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5239769Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5240099Z return mod(*inputs) 2025-08-14T21:49:38.5240392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5240730Z y = self.forward_features(x) 2025-08-14T21:49:38.5241059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5241395Z yl = self.stages(x) 2025-08-14T21:49:38.5241678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:49:38.5241990Z yl = self.stage2(xl) 2025-08-14T21:49:38.5242275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5242577Z x = module(x) 2025-08-14T21:49:38.5242840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5243156Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5243439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5243748Z x = self.act1(x) 2025-08-14T21:49:38.5243842Z 2025-08-14T21:49:38.5243943Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5244293Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5244604Z return mod(*inputs) 2025-08-14T21:49:38.5244876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5245201Z y = self.forward_features(x) 2025-08-14T21:49:38.5245569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5245899Z yl = self.stages(x) 2025-08-14T21:49:38.5246166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:49:38.5246464Z yl = self.stage2(xl) 2025-08-14T21:49:38.5246744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5247037Z x = module(x) 2025-08-14T21:49:38.5247304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5247602Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5247882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5248179Z x = self.conv2(x) 2025-08-14T21:49:38.5248277Z 2025-08-14T21:49:38.5248376Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5248720Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5249048Z return mod(*inputs) 2025-08-14T21:49:38.5249333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5249641Z y = self.forward_features(x) 2025-08-14T21:49:38.5249965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5250290Z yl = self.stages(x) 2025-08-14T21:49:38.5250568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:49:38.5250870Z yl = self.stage2(xl) 2025-08-14T21:49:38.5251154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5251457Z x = module(x) 2025-08-14T21:49:38.5251736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5252046Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5252333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5252644Z x = self.act2(x) 2025-08-14T21:49:38.5252740Z 2025-08-14T21:49:38.5252849Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5253217Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5253568Z return mod(*inputs) 2025-08-14T21:49:38.5253871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5254273Z y = self.forward_features(x) 2025-08-14T21:49:38.5254638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5255003Z yl = self.stages(x) 2025-08-14T21:49:38.5255303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:49:38.5255626Z yl = self.stage2(xl) 2025-08-14T21:49:38.5255939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5256262Z x = module(x) 2025-08-14T21:49:38.5256577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5256905Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5257214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5257533Z x = self.conv1(x) 2025-08-14T21:49:38.5257633Z 2025-08-14T21:49:38.5257739Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5258116Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5258439Z return mod(*inputs) 2025-08-14T21:49:38.5258727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5259052Z y = self.forward_features(x) 2025-08-14T21:49:38.5259405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5259769Z yl = self.stages(x) 2025-08-14T21:49:38.5260062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:49:38.5260393Z yl = self.stage2(xl) 2025-08-14T21:49:38.5260702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5261024Z x = module(x) 2025-08-14T21:49:38.5261309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5261634Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5261937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5262260Z x = self.act1(x) 2025-08-14T21:49:38.5262367Z 2025-08-14T21:49:38.5262475Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5262875Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5263208Z return mod(*inputs) 2025-08-14T21:49:38.5263508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5263843Z y = self.forward_features(x) 2025-08-14T21:49:38.5264262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5264623Z yl = self.stages(x) 2025-08-14T21:49:38.5264927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:49:38.5265279Z yl = self.stage2(xl) 2025-08-14T21:49:38.5265594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5265936Z x = module(x) 2025-08-14T21:49:38.5266264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5266601Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5266904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5267245Z x = self.conv2(x) 2025-08-14T21:49:38.5267373Z 2025-08-14T21:49:38.5267512Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5267884Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5268276Z return mod(*inputs) 2025-08-14T21:49:38.5268579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5268918Z y = self.forward_features(x) 2025-08-14T21:49:38.5269266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5269627Z yl = self.stages(x) 2025-08-14T21:49:38.5269931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:49:38.5270251Z yl = self.stage2(xl) 2025-08-14T21:49:38.5270589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5270901Z x = module(x) 2025-08-14T21:49:38.5271182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5271486Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5271782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5272103Z x = self.act2(x) 2025-08-14T21:49:38.5272198Z 2025-08-14T21:49:38.5272300Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5272658Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5272978Z return mod(*inputs) 2025-08-14T21:49:38.5273268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5273584Z y = self.forward_features(x) 2025-08-14T21:49:38.5273919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5274263Z yl = self.stages(x) 2025-08-14T21:49:38.5274546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:49:38.5274860Z yl = self.stage2(xl) 2025-08-14T21:49:38.5275170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5275537Z x = module(x) 2025-08-14T21:49:38.5275810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5276170Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5276487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5276842Z x = self.conv1(x) 2025-08-14T21:49:38.5276951Z 2025-08-14T21:49:38.5277057Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5277441Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5277785Z return mod(*inputs) 2025-08-14T21:49:38.5278088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5278568Z y = self.forward_features(x) 2025-08-14T21:49:38.5278910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5279254Z yl = self.stages(x) 2025-08-14T21:49:38.5279546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:49:38.5279871Z yl = self.stage2(xl) 2025-08-14T21:49:38.5280185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5280510Z x = module(x) 2025-08-14T21:49:38.5280815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5281153Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5281494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5281846Z x = self.act1(x) 2025-08-14T21:49:38.5281944Z 2025-08-14T21:49:38.5282055Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5282420Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5282736Z return mod(*inputs) 2025-08-14T21:49:38.5283028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5283348Z y = self.forward_features(x) 2025-08-14T21:49:38.5283679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5284018Z yl = self.stages(x) 2025-08-14T21:49:38.5284327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:49:38.5284635Z yl = self.stage2(xl) 2025-08-14T21:49:38.5284930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5285244Z x = module(x) 2025-08-14T21:49:38.5285534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5285839Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5286128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5286444Z x = self.conv2(x) 2025-08-14T21:49:38.5286540Z 2025-08-14T21:49:38.5286641Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5287001Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5287324Z return mod(*inputs) 2025-08-14T21:49:38.5287616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5287927Z y = self.forward_features(x) 2025-08-14T21:49:38.5288261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5288606Z yl = self.stages(x) 2025-08-14T21:49:38.5288881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:49:38.5289191Z yl = self.stage2(xl) 2025-08-14T21:49:38.5289483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5289789Z x = module(x) 2025-08-14T21:49:38.5290060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5290369Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5290682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5290988Z x = self.act2(x) 2025-08-14T21:49:38.5291095Z 2025-08-14T21:49:38.5291197Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5291561Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5291886Z return mod(*inputs) 2025-08-14T21:49:38.5292169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5292497Z y = self.forward_features(x) 2025-08-14T21:49:38.5292823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5293167Z yl = self.stages(x) 2025-08-14T21:49:38.5293467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 750, in stages 2025-08-14T21:49:38.5293827Z xl = [t(x) for i, t in enumerate(self.transition1)] 2025-08-14T21:49:38.5294184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 750, in 2025-08-14T21:49:38.5294531Z xl = [t(x) for i, t in enumerate(self.transition1)] 2025-08-14T21:49:38.5294705Z 2025-08-14T21:49:38.5294825Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5295188Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5295501Z return mod(*inputs) 2025-08-14T21:49:38.5295790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5296112Z y = self.forward_features(x) 2025-08-14T21:49:38.5296441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5296762Z yl = self.stages(x) 2025-08-14T21:49:38.5297041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 750, in stages 2025-08-14T21:49:38.5297364Z xl = [t(x) for i, t in enumerate(self.transition1)] 2025-08-14T21:49:38.5297722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 750, in 2025-08-14T21:49:38.5298062Z xl = [t(x) for i, t in enumerate(self.transition1)] 2025-08-14T21:49:38.5298216Z 2025-08-14T21:49:38.5298316Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5298664Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5298967Z return mod(*inputs) 2025-08-14T21:49:38.5299249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5299558Z y = self.forward_features(x) 2025-08-14T21:49:38.5299882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5300211Z yl = self.stages(x) 2025-08-14T21:49:38.5300510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:49:38.5300815Z yl = self.stage2(xl) 2025-08-14T21:49:38.5301096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5301401Z x = module(x) 2025-08-14T21:49:38.5301674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5301971Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5302256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5302562Z x = self.conv1(x) 2025-08-14T21:49:38.5302658Z 2025-08-14T21:49:38.5302767Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5303120Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5303455Z return mod(*inputs) 2025-08-14T21:49:38.5303750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5304065Z y = self.forward_features(x) 2025-08-14T21:49:38.5304468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5304832Z yl = self.stages(x) 2025-08-14T21:49:38.5305152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:49:38.5305491Z yl = self.stage2(xl) 2025-08-14T21:49:38.5305805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5306136Z x = module(x) 2025-08-14T21:49:38.5306402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5306714Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5307002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5307311Z x = self.act1(x) 2025-08-14T21:49:38.5307405Z 2025-08-14T21:49:38.5307507Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5307854Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5308210Z return mod(*inputs) 2025-08-14T21:49:38.5308492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5308811Z y = self.forward_features(x) 2025-08-14T21:49:38.5309150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5309486Z yl = self.stages(x) 2025-08-14T21:49:38.5309773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:49:38.5310077Z yl = self.stage2(xl) 2025-08-14T21:49:38.5310363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5310663Z x = module(x) 2025-08-14T21:49:38.5310967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5311295Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5311612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5311921Z x = self.conv2(x) 2025-08-14T21:49:38.5312027Z 2025-08-14T21:49:38.5312130Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5312494Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5312810Z return mod(*inputs) 2025-08-14T21:49:38.5313102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5313425Z y = self.forward_features(x) 2025-08-14T21:49:38.5313761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5314095Z yl = self.stages(x) 2025-08-14T21:49:38.5314386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:49:38.5314700Z yl = self.stage2(xl) 2025-08-14T21:49:38.5314990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5315302Z x = module(x) 2025-08-14T21:49:38.5315580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5315894Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5316180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5316496Z x = self.act2(x) 2025-08-14T21:49:38.5316594Z 2025-08-14T21:49:38.5316716Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5317088Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5317410Z return mod(*inputs) 2025-08-14T21:49:38.5317700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5318028Z y = self.forward_features(x) 2025-08-14T21:49:38.5318354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5318694Z yl = self.stages(x) 2025-08-14T21:49:38.5318987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:49:38.5319298Z yl = self.stage2(xl) 2025-08-14T21:49:38.5319591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5319903Z x = module(x) 2025-08-14T21:49:38.5320181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5320484Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5320780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5321100Z x = self.conv1(x) 2025-08-14T21:49:38.5321216Z 2025-08-14T21:49:38.5321317Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5321707Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5322028Z return mod(*inputs) 2025-08-14T21:49:38.5322318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5322637Z y = self.forward_features(x) 2025-08-14T21:49:38.5322977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5323333Z yl = self.stages(x) 2025-08-14T21:49:38.5323610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:49:38.5323911Z yl = self.stage2(xl) 2025-08-14T21:49:38.5324214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5324505Z x = module(x) 2025-08-14T21:49:38.5324778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5325081Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5325369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5325676Z x = self.act1(x) 2025-08-14T21:49:38.5325781Z 2025-08-14T21:49:38.5325883Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5326241Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5326554Z return mod(*inputs) 2025-08-14T21:49:38.5326846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5327171Z y = self.forward_features(x) 2025-08-14T21:49:38.5327507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5327843Z yl = self.stages(x) 2025-08-14T21:49:38.5328131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:49:38.5328439Z yl = self.stage2(xl) 2025-08-14T21:49:38.5328723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5329036Z x = module(x) 2025-08-14T21:49:38.5329306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5329606Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5329884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5330192Z x = self.conv2(x) 2025-08-14T21:49:38.5330300Z 2025-08-14T21:49:38.5330408Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5330748Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5331062Z return mod(*inputs) 2025-08-14T21:49:38.5331346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5331654Z y = self.forward_features(x) 2025-08-14T21:49:38.5331971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5332296Z yl = self.stages(x) 2025-08-14T21:49:38.5332574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:49:38.5332867Z yl = self.stage2(xl) 2025-08-14T21:49:38.5333156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5333455Z x = module(x) 2025-08-14T21:49:38.5333727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5334025Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5334311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5334645Z x = self.act2(x) 2025-08-14T21:49:38.5334739Z 2025-08-14T21:49:38.5334839Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5335188Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5335502Z return mod(*inputs) 2025-08-14T21:49:38.5335781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5336085Z y = self.forward_features(x) 2025-08-14T21:49:38.5336411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5336744Z yl = self.stages(x) 2025-08-14T21:49:38.5337013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:49:38.5337330Z yl = self.stage2(xl) 2025-08-14T21:49:38.5337618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5337926Z x = module(x) 2025-08-14T21:49:38.5338195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5338503Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5338794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5339103Z x = self.conv1(x) 2025-08-14T21:49:38.5339207Z 2025-08-14T21:49:38.5339311Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5339670Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5340037Z return mod(*inputs) 2025-08-14T21:49:38.5340312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5340621Z y = self.forward_features(x) 2025-08-14T21:49:38.5340946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5341270Z yl = self.stages(x) 2025-08-14T21:49:38.5341550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:49:38.5341852Z yl = self.stage2(xl) 2025-08-14T21:49:38.5342129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5342427Z x = module(x) 2025-08-14T21:49:38.5342698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5342998Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5343288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5343587Z x = self.act1(x) 2025-08-14T21:49:38.5343678Z 2025-08-14T21:49:38.5343784Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5344155Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5344585Z return mod(*inputs) 2025-08-14T21:49:38.5344906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5345266Z y = self.forward_features(x) 2025-08-14T21:49:38.5345616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5345979Z yl = self.stages(x) 2025-08-14T21:49:38.5346284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:49:38.5346612Z yl = self.stage2(xl) 2025-08-14T21:49:38.5346898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5347193Z x = module(x) 2025-08-14T21:49:38.5347459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5347787Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5348064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5348364Z x = self.conv2(x) 2025-08-14T21:49:38.5348456Z 2025-08-14T21:49:38.5348555Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5348898Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5349203Z return mod(*inputs) 2025-08-14T21:49:38.5349478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5349777Z y = self.forward_features(x) 2025-08-14T21:49:38.5350096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5350438Z yl = self.stages(x) 2025-08-14T21:49:38.5350703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:49:38.5351004Z yl = self.stage2(xl) 2025-08-14T21:49:38.5351280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5351568Z x = module(x) 2025-08-14T21:49:38.5351748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5351809Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5351998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5352058Z x = self.act2(x) 2025-08-14T21:49:38.5352062Z 2025-08-14T21:49:38.5352159Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5352353Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5352417Z return mod(*inputs) 2025-08-14T21:49:38.5352598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5352669Z y = self.forward_features(x) 2025-08-14T21:49:38.5352871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5352937Z yl = self.stages(x) 2025-08-14T21:49:38.5353108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:49:38.5353170Z yl = self.stage2(xl) 2025-08-14T21:49:38.5353353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5353411Z x = module(x) 2025-08-14T21:49:38.5353621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5353682Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5353865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5353934Z x = self.conv1(x) 2025-08-14T21:49:38.5353937Z 2025-08-14T21:49:38.5354036Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5354220Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5354290Z return mod(*inputs) 2025-08-14T21:49:38.5354468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5354542Z y = self.forward_features(x) 2025-08-14T21:49:38.5354742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5354803Z yl = self.stages(x) 2025-08-14T21:49:38.5354983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:49:38.5355046Z yl = self.stage2(xl) 2025-08-14T21:49:38.5355221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5355302Z x = module(x) 2025-08-14T21:49:38.5355495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5355563Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5355743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5355802Z x = self.act1(x) 2025-08-14T21:49:38.5355805Z 2025-08-14T21:49:38.5355910Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5356096Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5356158Z return mod(*inputs) 2025-08-14T21:49:38.5356341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5356408Z y = self.forward_features(x) 2025-08-14T21:49:38.5356631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5356696Z yl = self.stages(x) 2025-08-14T21:49:38.5356872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:49:38.5356942Z yl = self.stage2(xl) 2025-08-14T21:49:38.5357119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5357176Z x = module(x) 2025-08-14T21:49:38.5357359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5357419Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5357609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5357672Z x = self.conv2(x) 2025-08-14T21:49:38.5357675Z 2025-08-14T21:49:38.5357771Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5357967Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5358028Z return mod(*inputs) 2025-08-14T21:49:38.5358205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5358279Z y = self.forward_features(x) 2025-08-14T21:49:38.5358484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5358551Z yl = self.stages(x) 2025-08-14T21:49:38.5358724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:49:38.5358785Z yl = self.stage2(xl) 2025-08-14T21:49:38.5358985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5359048Z x = module(x) 2025-08-14T21:49:38.5359223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.5359290Z y = f(x[j]) 2025-08-14T21:49:38.5359295Z 2025-08-14T21:49:38.5359393Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5359588Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5359657Z return mod(*inputs) 2025-08-14T21:49:38.5359896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5359973Z y = self.forward_features(x) 2025-08-14T21:49:38.5360178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5360240Z yl = self.stages(x) 2025-08-14T21:49:38.5360421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:49:38.5360483Z yl = self.stage2(xl) 2025-08-14T21:49:38.5360664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5360721Z x = module(x) 2025-08-14T21:49:38.5360916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.5361001Z y = y + f(x[j]) 2025-08-14T21:49:38.5361005Z 2025-08-14T21:49:38.5361104Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5361296Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5361367Z return mod(*inputs) 2025-08-14T21:49:38.5361547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5361620Z y = self.forward_features(x) 2025-08-14T21:49:38.5361826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5361887Z yl = self.stages(x) 2025-08-14T21:49:38.5362086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:49:38.5362150Z yl = self.stage2(xl) 2025-08-14T21:49:38.5362326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5362393Z x = module(x) 2025-08-14T21:49:38.5362566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.5362634Z y = y + f(x[j]) 2025-08-14T21:49:38.5362637Z 2025-08-14T21:49:38.5362733Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5362917Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5362988Z return mod(*inputs) 2025-08-14T21:49:38.5363167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5363233Z y = self.forward_features(x) 2025-08-14T21:49:38.5363442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5363504Z yl = self.stages(x) 2025-08-14T21:49:38.5363686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 751, in stages 2025-08-14T21:49:38.5363747Z yl = self.stage2(xl) 2025-08-14T21:49:38.5363922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5363989Z x = module(x) 2025-08-14T21:49:38.5364163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:49:38.5364238Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:49:38.5364250Z 2025-08-14T21:49:38.5364345Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5364550Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5364621Z return mod(*inputs) 2025-08-14T21:49:38.5364797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5364865Z y = self.forward_features(x) 2025-08-14T21:49:38.5365077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5365138Z yl = self.stages(x) 2025-08-14T21:49:38.5365308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5365378Z yl = self.stage3(xl) 2025-08-14T21:49:38.5365552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5365615Z x = module(x) 2025-08-14T21:49:38.5365796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5365859Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5366049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5366112Z x = self.conv1(x) 2025-08-14T21:49:38.5366115Z 2025-08-14T21:49:38.5366230Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5366443Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5366506Z return mod(*inputs) 2025-08-14T21:49:38.5366694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5366763Z y = self.forward_features(x) 2025-08-14T21:49:38.5366971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5367044Z yl = self.stages(x) 2025-08-14T21:49:38.5367224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5367289Z yl = self.stage3(xl) 2025-08-14T21:49:38.5367494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5367554Z x = module(x) 2025-08-14T21:49:38.5367745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5367809Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5367995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5368063Z x = self.act1(x) 2025-08-14T21:49:38.5368067Z 2025-08-14T21:49:38.5368166Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5368359Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5368431Z return mod(*inputs) 2025-08-14T21:49:38.5368610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5368686Z y = self.forward_features(x) 2025-08-14T21:49:38.5368897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5368959Z yl = self.stages(x) 2025-08-14T21:49:38.5369147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5369211Z yl = self.stage3(xl) 2025-08-14T21:49:38.5369400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5369466Z x = module(x) 2025-08-14T21:49:38.5369648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5369718Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5369904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5369967Z x = self.conv2(x) 2025-08-14T21:49:38.5369970Z 2025-08-14T21:49:38.5370091Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5370283Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5370352Z return mod(*inputs) 2025-08-14T21:49:38.5370533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5370603Z y = self.forward_features(x) 2025-08-14T21:49:38.5370814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5370877Z yl = self.stages(x) 2025-08-14T21:49:38.5371054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5371126Z yl = self.stage3(xl) 2025-08-14T21:49:38.5371306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5371365Z x = module(x) 2025-08-14T21:49:38.5371554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5371617Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5371811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5371905Z x = self.act2(x) 2025-08-14T21:49:38.5371908Z 2025-08-14T21:49:38.5372006Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5372205Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5372267Z return mod(*inputs) 2025-08-14T21:49:38.5372457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5372524Z y = self.forward_features(x) 2025-08-14T21:49:38.5372733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5372805Z yl = self.stages(x) 2025-08-14T21:49:38.5372984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5373062Z yl = self.stage3(xl) 2025-08-14T21:49:38.5373247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5373308Z x = module(x) 2025-08-14T21:49:38.5373485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5373553Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5373736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5373804Z x = self.conv1(x) 2025-08-14T21:49:38.5373807Z 2025-08-14T21:49:38.5373904Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5374092Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5374164Z return mod(*inputs) 2025-08-14T21:49:38.5374340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5374415Z y = self.forward_features(x) 2025-08-14T21:49:38.5374622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5374687Z yl = self.stages(x) 2025-08-14T21:49:38.5374869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5374932Z yl = self.stage3(xl) 2025-08-14T21:49:38.5375110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5375176Z x = module(x) 2025-08-14T21:49:38.5375355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5375416Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5375622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5375684Z x = self.act1(x) 2025-08-14T21:49:38.5375687Z 2025-08-14T21:49:38.5375793Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5375982Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5376047Z return mod(*inputs) 2025-08-14T21:49:38.5376231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5376299Z y = self.forward_features(x) 2025-08-14T21:49:38.5376513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5376576Z yl = self.stages(x) 2025-08-14T21:49:38.5376751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5376821Z yl = self.stage3(xl) 2025-08-14T21:49:38.5377001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5377058Z x = module(x) 2025-08-14T21:49:38.5377243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5377319Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5377519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5377587Z x = self.conv2(x) 2025-08-14T21:49:38.5377591Z 2025-08-14T21:49:38.5377688Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5377886Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5377949Z return mod(*inputs) 2025-08-14T21:49:38.5378130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5378205Z y = self.forward_features(x) 2025-08-14T21:49:38.5378585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5378662Z yl = self.stages(x) 2025-08-14T21:49:38.5378880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5378950Z yl = self.stage3(xl) 2025-08-14T21:49:38.5379139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5379198Z x = module(x) 2025-08-14T21:49:38.5379377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5379448Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5379632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5379693Z x = self.act2(x) 2025-08-14T21:49:38.5379704Z 2025-08-14T21:49:38.5379803Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5379995Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5380067Z return mod(*inputs) 2025-08-14T21:49:38.5380246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5380319Z y = self.forward_features(x) 2025-08-14T21:49:38.5380534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5380597Z yl = self.stages(x) 2025-08-14T21:49:38.5380793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5380857Z yl = self.stage3(xl) 2025-08-14T21:49:38.5381030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5381097Z x = module(x) 2025-08-14T21:49:38.5381297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5381359Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5381546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5381606Z x = self.conv1(x) 2025-08-14T21:49:38.5381611Z 2025-08-14T21:49:38.5381714Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5381900Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5381962Z return mod(*inputs) 2025-08-14T21:49:38.5382144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5382208Z y = self.forward_features(x) 2025-08-14T21:49:38.5382410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5382479Z yl = self.stages(x) 2025-08-14T21:49:38.5382658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5382730Z yl = self.stage3(xl) 2025-08-14T21:49:38.5382909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5382969Z x = module(x) 2025-08-14T21:49:38.5383178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5383260Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5383444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5383512Z x = self.act1(x) 2025-08-14T21:49:38.5383516Z 2025-08-14T21:49:38.5383615Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5383814Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5383879Z return mod(*inputs) 2025-08-14T21:49:38.5384058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5384134Z y = self.forward_features(x) 2025-08-14T21:49:38.5384452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5384527Z yl = self.stages(x) 2025-08-14T21:49:38.5384720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5384786Z yl = self.stage3(xl) 2025-08-14T21:49:38.5384978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5385042Z x = module(x) 2025-08-14T21:49:38.5385238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5385313Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5385518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5385585Z x = self.conv2(x) 2025-08-14T21:49:38.5385592Z 2025-08-14T21:49:38.5385709Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5385919Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5385993Z return mod(*inputs) 2025-08-14T21:49:38.5386179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5386248Z y = self.forward_features(x) 2025-08-14T21:49:38.5386477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5386539Z yl = self.stages(x) 2025-08-14T21:49:38.5386712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5386782Z yl = self.stage3(xl) 2025-08-14T21:49:38.5386958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5387038Z x = module(x) 2025-08-14T21:49:38.5387212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5387271Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5387460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5387520Z x = self.act2(x) 2025-08-14T21:49:38.5387523Z 2025-08-14T21:49:38.5387618Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5387810Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5387872Z return mod(*inputs) 2025-08-14T21:49:38.5388049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5388114Z y = self.forward_features(x) 2025-08-14T21:49:38.5388315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5388383Z yl = self.stages(x) 2025-08-14T21:49:38.5388556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5388617Z yl = self.stage3(xl) 2025-08-14T21:49:38.5388840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5388914Z x = module(x) 2025-08-14T21:49:38.5389096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5389155Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5389335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5389403Z x = self.conv1(x) 2025-08-14T21:49:38.5389406Z 2025-08-14T21:49:38.5389502Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5389690Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5389759Z return mod(*inputs) 2025-08-14T21:49:38.5389949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5390026Z y = self.forward_features(x) 2025-08-14T21:49:38.5390230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5390294Z yl = self.stages(x) 2025-08-14T21:49:38.5390476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5390540Z yl = self.stage3(xl) 2025-08-14T21:49:38.5390716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5390781Z x = module(x) 2025-08-14T21:49:38.5390957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5391026Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5391207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5391266Z x = self.act1(x) 2025-08-14T21:49:38.5391270Z 2025-08-14T21:49:38.5391375Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5391562Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5391625Z return mod(*inputs) 2025-08-14T21:49:38.5391810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5391875Z y = self.forward_features(x) 2025-08-14T21:49:38.5392084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5392145Z yl = self.stages(x) 2025-08-14T21:49:38.5392318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5392387Z yl = self.stage3(xl) 2025-08-14T21:49:38.5392586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5392647Z x = module(x) 2025-08-14T21:49:38.5392830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5392895Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5393084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5393146Z x = self.conv2(x) 2025-08-14T21:49:38.5393149Z 2025-08-14T21:49:38.5393245Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5393439Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5393501Z return mod(*inputs) 2025-08-14T21:49:38.5393675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5393749Z y = self.forward_features(x) 2025-08-14T21:49:38.5393954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5394025Z yl = self.stages(x) 2025-08-14T21:49:38.5394201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5394292Z yl = self.stage3(xl) 2025-08-14T21:49:38.5394473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5394533Z x = module(x) 2025-08-14T21:49:38.5394709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5394775Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5394953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5395019Z x = self.act2(x) 2025-08-14T21:49:38.5395022Z 2025-08-14T21:49:38.5395121Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5395305Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5395389Z return mod(*inputs) 2025-08-14T21:49:38.5395564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5395633Z y = self.forward_features(x) 2025-08-14T21:49:38.5395841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5395902Z yl = self.stages(x) 2025-08-14T21:49:38.5396083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5396145Z yl = self.stage3(xl) 2025-08-14T21:49:38.5396320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5396385Z x = module(x) 2025-08-14T21:49:38.5396559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5396619Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5396805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5396867Z x = self.conv1(x) 2025-08-14T21:49:38.5396872Z 2025-08-14T21:49:38.5396975Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5397159Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5397220Z return mod(*inputs) 2025-08-14T21:49:38.5397401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5397467Z y = self.forward_features(x) 2025-08-14T21:49:38.5397667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5397735Z yl = self.stages(x) 2025-08-14T21:49:38.5397920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5397991Z yl = self.stage3(xl) 2025-08-14T21:49:38.5398166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5398225Z x = module(x) 2025-08-14T21:49:38.5398408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5398467Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5398646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5398712Z x = self.act1(x) 2025-08-14T21:49:38.5398715Z 2025-08-14T21:49:38.5398810Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5398999Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5399061Z return mod(*inputs) 2025-08-14T21:49:38.5399237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5399310Z y = self.forward_features(x) 2025-08-14T21:49:38.5399510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5399596Z yl = self.stages(x) 2025-08-14T21:49:38.5399785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5399845Z yl = self.stage3(xl) 2025-08-14T21:49:38.5400021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5400076Z x = module(x) 2025-08-14T21:49:38.5400243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5400307Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5400481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5400540Z x = self.conv2(x) 2025-08-14T21:49:38.5400544Z 2025-08-14T21:49:38.5400644Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5400841Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5400911Z return mod(*inputs) 2025-08-14T21:49:38.5401086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5401150Z y = self.forward_features(x) 2025-08-14T21:49:38.5401357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5401418Z yl = self.stages(x) 2025-08-14T21:49:38.5401592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5401662Z yl = self.stage3(xl) 2025-08-14T21:49:38.5401838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5401903Z x = module(x) 2025-08-14T21:49:38.5402077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5402137Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5402323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5402382Z x = self.act2(x) 2025-08-14T21:49:38.5402385Z 2025-08-14T21:49:38.5402479Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5402671Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5402730Z return mod(*inputs) 2025-08-14T21:49:38.5402911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5402979Z y = self.forward_features(x) 2025-08-14T21:49:38.5403193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5403259Z yl = self.stages(x) 2025-08-14T21:49:38.5403431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5403492Z yl = self.stage3(xl) 2025-08-14T21:49:38.5403672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5403731Z x = module(x) 2025-08-14T21:49:38.5403910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5403969Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5404144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5404210Z x = self.conv1(x) 2025-08-14T21:49:38.5404213Z 2025-08-14T21:49:38.5404308Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5404490Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5404559Z return mod(*inputs) 2025-08-14T21:49:38.5404730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5404801Z y = self.forward_features(x) 2025-08-14T21:49:38.5405010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5405085Z yl = self.stages(x) 2025-08-14T21:49:38.5405259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5405319Z yl = self.stage3(xl) 2025-08-14T21:49:38.5405488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5405551Z x = module(x) 2025-08-14T21:49:38.5405723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5405790Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5405969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5406042Z x = self.act1(x) 2025-08-14T21:49:38.5406046Z 2025-08-14T21:49:38.5406148Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5406336Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5406398Z return mod(*inputs) 2025-08-14T21:49:38.5406580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5406645Z y = self.forward_features(x) 2025-08-14T21:49:38.5406853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5406914Z yl = self.stages(x) 2025-08-14T21:49:38.5407086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5407159Z yl = self.stage3(xl) 2025-08-14T21:49:38.5407332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5407392Z x = module(x) 2025-08-14T21:49:38.5407572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5407635Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5407822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5407883Z x = self.conv2(x) 2025-08-14T21:49:38.5407886Z 2025-08-14T21:49:38.5407982Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5408173Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5408234Z return mod(*inputs) 2025-08-14T21:49:38.5408409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5408504Z y = self.forward_features(x) 2025-08-14T21:49:38.5408706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5408773Z yl = self.stages(x) 2025-08-14T21:49:38.5408948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5409012Z yl = self.stage3(xl) 2025-08-14T21:49:38.5409195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5409253Z x = module(x) 2025-08-14T21:49:38.5409426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5409493Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5409672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5409737Z x = self.act2(x) 2025-08-14T21:49:38.5409741Z 2025-08-14T21:49:38.5409836Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5410018Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5410090Z return mod(*inputs) 2025-08-14T21:49:38.5410282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5410363Z y = self.forward_features(x) 2025-08-14T21:49:38.5410572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5410633Z yl = self.stages(x) 2025-08-14T21:49:38.5410814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5410877Z yl = self.stage3(xl) 2025-08-14T21:49:38.5411053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5411116Z x = module(x) 2025-08-14T21:49:38.5411289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5411350Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5411570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5411634Z x = self.conv1(x) 2025-08-14T21:49:38.5411638Z 2025-08-14T21:49:38.5411739Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5411923Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5411983Z return mod(*inputs) 2025-08-14T21:49:38.5412162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5412226Z y = self.forward_features(x) 2025-08-14T21:49:38.5412427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5412493Z yl = self.stages(x) 2025-08-14T21:49:38.5412664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5412732Z yl = self.stage3(xl) 2025-08-14T21:49:38.5412903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5412962Z x = module(x) 2025-08-14T21:49:38.5413144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5413203Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5413379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5413444Z x = self.act1(x) 2025-08-14T21:49:38.5413447Z 2025-08-14T21:49:38.5413541Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5413732Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5413794Z return mod(*inputs) 2025-08-14T21:49:38.5413981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5414054Z y = self.forward_features(x) 2025-08-14T21:49:38.5414255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5414318Z yl = self.stages(x) 2025-08-14T21:49:38.5414495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5414555Z yl = self.stage3(xl) 2025-08-14T21:49:38.5414734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5414790Z x = module(x) 2025-08-14T21:49:38.5414962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5415029Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5415209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5415270Z x = self.conv2(x) 2025-08-14T21:49:38.5415282Z 2025-08-14T21:49:38.5415382Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5415571Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5415671Z return mod(*inputs) 2025-08-14T21:49:38.5415850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5415918Z y = self.forward_features(x) 2025-08-14T21:49:38.5416138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5416200Z yl = self.stages(x) 2025-08-14T21:49:38.5416375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5416445Z yl = self.stage3(xl) 2025-08-14T21:49:38.5416623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5416686Z x = module(x) 2025-08-14T21:49:38.5416876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5416938Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5417126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5417186Z x = self.act2(x) 2025-08-14T21:49:38.5417189Z 2025-08-14T21:49:38.5417287Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5417481Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5417542Z return mod(*inputs) 2025-08-14T21:49:38.5417725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5417792Z y = self.forward_features(x) 2025-08-14T21:49:38.5417995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5418064Z yl = self.stages(x) 2025-08-14T21:49:38.5418241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5418305Z yl = self.stage3(xl) 2025-08-14T21:49:38.5418488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5418546Z x = module(x) 2025-08-14T21:49:38.5418728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5418789Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5418968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5419034Z x = self.conv1(x) 2025-08-14T21:49:38.5419038Z 2025-08-14T21:49:38.5419133Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5419336Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5419409Z return mod(*inputs) 2025-08-14T21:49:38.5419585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5419661Z y = self.forward_features(x) 2025-08-14T21:49:38.5419862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5419923Z yl = self.stages(x) 2025-08-14T21:49:38.5420103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5420166Z yl = self.stage3(xl) 2025-08-14T21:49:38.5420338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5420402Z x = module(x) 2025-08-14T21:49:38.5420575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5420643Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5420820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5420880Z x = self.act1(x) 2025-08-14T21:49:38.5420883Z 2025-08-14T21:49:38.5421001Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5421199Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5421260Z return mod(*inputs) 2025-08-14T21:49:38.5421439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5421505Z y = self.forward_features(x) 2025-08-14T21:49:38.5421713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5421774Z yl = self.stages(x) 2025-08-14T21:49:38.5421944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5422014Z yl = self.stage3(xl) 2025-08-14T21:49:38.5422203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5422261Z x = module(x) 2025-08-14T21:49:38.5422442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5422504Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5422693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5422753Z x = self.conv2(x) 2025-08-14T21:49:38.5422757Z 2025-08-14T21:49:38.5422853Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5423046Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5423107Z return mod(*inputs) 2025-08-14T21:49:38.5423284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5423360Z y = self.forward_features(x) 2025-08-14T21:49:38.5423562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5423631Z yl = self.stages(x) 2025-08-14T21:49:38.5423804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5423869Z yl = self.stage3(xl) 2025-08-14T21:49:38.5424050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5424108Z x = module(x) 2025-08-14T21:49:38.5424370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5424453Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5424655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5424731Z x = self.act2(x) 2025-08-14T21:49:38.5424735Z 2025-08-14T21:49:38.5424867Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5425077Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5425166Z return mod(*inputs) 2025-08-14T21:49:38.5425349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5425429Z y = self.forward_features(x) 2025-08-14T21:49:38.5425644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5425710Z yl = self.stages(x) 2025-08-14T21:49:38.5425907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5425972Z yl = self.stage3(xl) 2025-08-14T21:49:38.5426148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5426216Z x = module(x) 2025-08-14T21:49:38.5426392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.5426450Z y = y + f(x[j]) 2025-08-14T21:49:38.5426462Z 2025-08-14T21:49:38.5426560Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5426776Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5426844Z return mod(*inputs) 2025-08-14T21:49:38.5427017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5427085Z y = self.forward_features(x) 2025-08-14T21:49:38.5427296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5427359Z yl = self.stages(x) 2025-08-14T21:49:38.5427541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5427605Z yl = self.stage3(xl) 2025-08-14T21:49:38.5427782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5427861Z x = module(x) 2025-08-14T21:49:38.5428033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.5428094Z y = y + f(x[j]) 2025-08-14T21:49:38.5428097Z 2025-08-14T21:49:38.5428201Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5428383Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5428452Z return mod(*inputs) 2025-08-14T21:49:38.5428624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5428689Z y = self.forward_features(x) 2025-08-14T21:49:38.5428896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5428957Z yl = self.stages(x) 2025-08-14T21:49:38.5429129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 753, in stages 2025-08-14T21:49:38.5429308Z xl = [t(yl[-1]) if not isinstance(t, nn.Identity) else yl[i] for i, t in enumerate(self.transition2)] 2025-08-14T21:49:38.5429498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 753, in 2025-08-14T21:49:38.5429668Z xl = [t(yl[-1]) if not isinstance(t, nn.Identity) else yl[i] for i, t in enumerate(self.transition2)] 2025-08-14T21:49:38.5429672Z 2025-08-14T21:49:38.5429770Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5429954Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5430024Z return mod(*inputs) 2025-08-14T21:49:38.5430198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5430277Z y = self.forward_features(x) 2025-08-14T21:49:38.5430488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5430549Z yl = self.stages(x) 2025-08-14T21:49:38.5430730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 753, in stages 2025-08-14T21:49:38.5430893Z xl = [t(yl[-1]) if not isinstance(t, nn.Identity) else yl[i] for i, t in enumerate(self.transition2)] 2025-08-14T21:49:38.5431078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 753, in 2025-08-14T21:49:38.5431239Z xl = [t(yl[-1]) if not isinstance(t, nn.Identity) else yl[i] for i, t in enumerate(self.transition2)] 2025-08-14T21:49:38.5431243Z 2025-08-14T21:49:38.5431341Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5431534Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5431598Z return mod(*inputs) 2025-08-14T21:49:38.5431774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5431851Z y = self.forward_features(x) 2025-08-14T21:49:38.5432054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5432152Z yl = self.stages(x) 2025-08-14T21:49:38.5432336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5432399Z yl = self.stage3(xl) 2025-08-14T21:49:38.5432582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5432638Z x = module(x) 2025-08-14T21:49:38.5432816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5432882Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5433065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5433126Z x = self.conv1(x) 2025-08-14T21:49:38.5433130Z 2025-08-14T21:49:38.5433248Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5433434Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5433504Z return mod(*inputs) 2025-08-14T21:49:38.5433679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5433745Z y = self.forward_features(x) 2025-08-14T21:49:38.5433954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5434014Z yl = self.stages(x) 2025-08-14T21:49:38.5434187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5434256Z yl = self.stage3(xl) 2025-08-14T21:49:38.5434431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5434496Z x = module(x) 2025-08-14T21:49:38.5434671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5434732Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5434919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5434977Z x = self.act1(x) 2025-08-14T21:49:38.5434981Z 2025-08-14T21:49:38.5435076Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5435269Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5435330Z return mod(*inputs) 2025-08-14T21:49:38.5435513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5435580Z y = self.forward_features(x) 2025-08-14T21:49:38.5435797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5435867Z yl = self.stages(x) 2025-08-14T21:49:38.5436045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5436110Z yl = self.stage3(xl) 2025-08-14T21:49:38.5436291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5436347Z x = module(x) 2025-08-14T21:49:38.5436530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5436590Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5436775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5436843Z x = self.conv2(x) 2025-08-14T21:49:38.5436846Z 2025-08-14T21:49:38.5436943Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5437130Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5437198Z return mod(*inputs) 2025-08-14T21:49:38.5437378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5437483Z y = self.forward_features(x) 2025-08-14T21:49:38.5437687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5437748Z yl = self.stages(x) 2025-08-14T21:49:38.5437931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5437993Z yl = self.stage3(xl) 2025-08-14T21:49:38.5438172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5438237Z x = module(x) 2025-08-14T21:49:38.5438416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5438484Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5438681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5438743Z x = self.act2(x) 2025-08-14T21:49:38.5438747Z 2025-08-14T21:49:38.5438852Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5439040Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5439102Z return mod(*inputs) 2025-08-14T21:49:38.5439287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5439355Z y = self.forward_features(x) 2025-08-14T21:49:38.5439564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5439627Z yl = self.stages(x) 2025-08-14T21:49:38.5439804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5439875Z yl = self.stage3(xl) 2025-08-14T21:49:38.5440056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5440114Z x = module(x) 2025-08-14T21:49:38.5440291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5440350Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5441563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5441624Z x = self.conv1(x) 2025-08-14T21:49:38.5441627Z 2025-08-14T21:49:38.5441721Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5441912Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5441973Z return mod(*inputs) 2025-08-14T21:49:38.5442174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5442241Z y = self.forward_features(x) 2025-08-14T21:49:38.5442438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5442509Z yl = self.stages(x) 2025-08-14T21:49:38.5442681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5442741Z yl = self.stage3(xl) 2025-08-14T21:49:38.5442921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5442978Z x = module(x) 2025-08-14T21:49:38.5443157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5443217Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5443392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5443461Z x = self.act1(x) 2025-08-14T21:49:38.5443464Z 2025-08-14T21:49:38.5443558Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5443738Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5443825Z return mod(*inputs) 2025-08-14T21:49:38.5444009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5444081Z y = self.forward_features(x) 2025-08-14T21:49:38.5444275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5444334Z yl = self.stages(x) 2025-08-14T21:49:38.5444509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5444569Z yl = self.stage3(xl) 2025-08-14T21:49:38.5444739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5444813Z x = module(x) 2025-08-14T21:49:38.5444982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5445060Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5445233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5445293Z x = self.conv2(x) 2025-08-14T21:49:38.5445297Z 2025-08-14T21:49:38.5445396Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5445576Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5445635Z return mod(*inputs) 2025-08-14T21:49:38.5445809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5445873Z y = self.forward_features(x) 2025-08-14T21:49:38.5446078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5446136Z yl = self.stages(x) 2025-08-14T21:49:38.5446304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5446371Z yl = self.stage3(xl) 2025-08-14T21:49:38.5446541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5446598Z x = module(x) 2025-08-14T21:49:38.5446771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5446831Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5447010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5447067Z x = self.act2(x) 2025-08-14T21:49:38.5447070Z 2025-08-14T21:49:38.5447164Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5447363Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5447425Z return mod(*inputs) 2025-08-14T21:49:38.5447599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5447670Z y = self.forward_features(x) 2025-08-14T21:49:38.5447869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5447937Z yl = self.stages(x) 2025-08-14T21:49:38.5448108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5448167Z yl = self.stage3(xl) 2025-08-14T21:49:38.5448349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5448406Z x = module(x) 2025-08-14T21:49:38.5448579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5448645Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5448824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5448890Z x = self.conv1(x) 2025-08-14T21:49:38.5448894Z 2025-08-14T21:49:38.5448990Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5449188Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5449271Z return mod(*inputs) 2025-08-14T21:49:38.5449443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5449508Z y = self.forward_features(x) 2025-08-14T21:49:38.5449711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5449771Z yl = self.stages(x) 2025-08-14T21:49:38.5449947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5450009Z yl = self.stage3(xl) 2025-08-14T21:49:38.5450180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5450260Z x = module(x) 2025-08-14T21:49:38.5450433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5450494Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5450678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5450734Z x = self.act1(x) 2025-08-14T21:49:38.5450737Z 2025-08-14T21:49:38.5450841Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5451021Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5451081Z return mod(*inputs) 2025-08-14T21:49:38.5451258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5451325Z y = self.forward_features(x) 2025-08-14T21:49:38.5451521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5451591Z yl = self.stages(x) 2025-08-14T21:49:38.5451761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5451833Z yl = self.stage3(xl) 2025-08-14T21:49:38.5452002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5452057Z x = module(x) 2025-08-14T21:49:38.5452232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5452290Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5452464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5452532Z x = self.conv2(x) 2025-08-14T21:49:38.5452535Z 2025-08-14T21:49:38.5452643Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5452830Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5452891Z return mod(*inputs) 2025-08-14T21:49:38.5453060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5453136Z y = self.forward_features(x) 2025-08-14T21:49:38.5453330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5453390Z yl = self.stages(x) 2025-08-14T21:49:38.5453565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5453626Z yl = self.stage3(xl) 2025-08-14T21:49:38.5453801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5453857Z x = module(x) 2025-08-14T21:49:38.5454027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5454091Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5454266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5454973Z x = self.act2(x) 2025-08-14T21:49:38.5454992Z 2025-08-14T21:49:38.5455098Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5455281Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5455350Z return mod(*inputs) 2025-08-14T21:49:38.5455520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5455586Z y = self.forward_features(x) 2025-08-14T21:49:38.5455789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5455849Z yl = self.stages(x) 2025-08-14T21:49:38.5456017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5456087Z yl = self.stage3(xl) 2025-08-14T21:49:38.5456275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5456338Z x = module(x) 2025-08-14T21:49:38.5456511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5456570Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5456749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5456807Z x = self.conv1(x) 2025-08-14T21:49:38.5456810Z 2025-08-14T21:49:38.5456905Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5457095Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5457154Z return mod(*inputs) 2025-08-14T21:49:38.5457333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5457398Z y = self.forward_features(x) 2025-08-14T21:49:38.5457597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5457665Z yl = self.stages(x) 2025-08-14T21:49:38.5457833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5457893Z yl = self.stage3(xl) 2025-08-14T21:49:38.5458070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5458126Z x = module(x) 2025-08-14T21:49:38.5458303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5458360Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5458535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5458614Z x = self.act1(x) 2025-08-14T21:49:38.5458618Z 2025-08-14T21:49:38.5458712Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5458894Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5458964Z return mod(*inputs) 2025-08-14T21:49:38.5459135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5459206Z y = self.forward_features(x) 2025-08-14T21:49:38.5459403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5459462Z yl = self.stages(x) 2025-08-14T21:49:38.5459635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5459696Z yl = self.stage3(xl) 2025-08-14T21:49:38.5459867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5459932Z x = module(x) 2025-08-14T21:49:38.5460107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5460173Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5460361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5460436Z x = self.conv2(x) 2025-08-14T21:49:38.5460439Z 2025-08-14T21:49:38.5460542Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5460727Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5460786Z return mod(*inputs) 2025-08-14T21:49:38.5460970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5461034Z y = self.forward_features(x) 2025-08-14T21:49:38.5461245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5461305Z yl = self.stages(x) 2025-08-14T21:49:38.5461491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5461564Z yl = self.stage3(xl) 2025-08-14T21:49:38.5461733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5461791Z x = module(x) 2025-08-14T21:49:38.5461968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.5462027Z y = f(x[j]) 2025-08-14T21:49:38.5462030Z 2025-08-14T21:49:38.5462132Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5462312Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5462373Z return mod(*inputs) 2025-08-14T21:49:38.5462561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5462627Z y = self.forward_features(x) 2025-08-14T21:49:38.5462824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5462894Z yl = self.stages(x) 2025-08-14T21:49:38.5463064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5463131Z yl = self.stage3(xl) 2025-08-14T21:49:38.5463301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5463355Z x = module(x) 2025-08-14T21:49:38.5463532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.5463589Z y = f(x[j]) 2025-08-14T21:49:38.5463593Z 2025-08-14T21:49:38.5463688Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5463888Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5463948Z return mod(*inputs) 2025-08-14T21:49:38.5464126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5464252Z y = self.forward_features(x) 2025-08-14T21:49:38.5464460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5464529Z yl = self.stages(x) 2025-08-14T21:49:38.5464696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5464760Z yl = self.stage3(xl) 2025-08-14T21:49:38.5464985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5465049Z x = module(x) 2025-08-14T21:49:38.5465260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.5465326Z y = f(x[j]) 2025-08-14T21:49:38.5465331Z 2025-08-14T21:49:38.5465439Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5465657Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5465749Z return mod(*inputs) 2025-08-14T21:49:38.5465970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5466054Z y = self.forward_features(x) 2025-08-14T21:49:38.5466284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5466355Z yl = self.stages(x) 2025-08-14T21:49:38.5466537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5466601Z yl = self.stage3(xl) 2025-08-14T21:49:38.5466802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5466863Z x = module(x) 2025-08-14T21:49:38.5467042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.5467134Z y = y + f(x[j]) 2025-08-14T21:49:38.5467138Z 2025-08-14T21:49:38.5467241Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5467457Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5467525Z return mod(*inputs) 2025-08-14T21:49:38.5467734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5467816Z y = self.forward_features(x) 2025-08-14T21:49:38.5468046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5468112Z yl = self.stages(x) 2025-08-14T21:49:38.5468322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5468391Z yl = self.stage3(xl) 2025-08-14T21:49:38.5468599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5468662Z x = module(x) 2025-08-14T21:49:38.5468858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.5468930Z y = y + f(x[j]) 2025-08-14T21:49:38.5468934Z 2025-08-14T21:49:38.5469041Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5469250Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5469326Z return mod(*inputs) 2025-08-14T21:49:38.5469533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5469613Z y = self.forward_features(x) 2025-08-14T21:49:38.5469852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5469919Z yl = self.stages(x) 2025-08-14T21:49:38.5470126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5470195Z yl = self.stage3(xl) 2025-08-14T21:49:38.5470402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5470474Z x = module(x) 2025-08-14T21:49:38.5470678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.5470748Z y = y + f(x[j]) 2025-08-14T21:49:38.5470751Z 2025-08-14T21:49:38.5470860Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5471068Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5471144Z return mod(*inputs) 2025-08-14T21:49:38.5471350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5471426Z y = self.forward_features(x) 2025-08-14T21:49:38.5471660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5471727Z yl = self.stages(x) 2025-08-14T21:49:38.5471955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5472039Z yl = self.stage3(xl) 2025-08-14T21:49:38.5472247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5472318Z x = module(x) 2025-08-14T21:49:38.5472527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:49:38.5472612Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:49:38.5472623Z 2025-08-14T21:49:38.5472733Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5472942Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5473018Z return mod(*inputs) 2025-08-14T21:49:38.5473243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5473324Z y = self.forward_features(x) 2025-08-14T21:49:38.5473566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5473634Z yl = self.stages(x) 2025-08-14T21:49:38.5473839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5473923Z yl = self.stage3(xl) 2025-08-14T21:49:38.5474102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5474167Z x = module(x) 2025-08-14T21:49:38.5474343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5474405Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5474592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5474654Z x = self.conv1(x) 2025-08-14T21:49:38.5474657Z 2025-08-14T21:49:38.5474753Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5474948Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5475009Z return mod(*inputs) 2025-08-14T21:49:38.5475192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5475258Z y = self.forward_features(x) 2025-08-14T21:49:38.5475458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5475525Z yl = self.stages(x) 2025-08-14T21:49:38.5475698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5475809Z yl = self.stage3(xl) 2025-08-14T21:49:38.5475990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5476048Z x = module(x) 2025-08-14T21:49:38.5476231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5476294Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5476473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5476539Z x = self.act1(x) 2025-08-14T21:49:38.5476542Z 2025-08-14T21:49:38.5476638Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5476830Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5476892Z return mod(*inputs) 2025-08-14T21:49:38.5477068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5477144Z y = self.forward_features(x) 2025-08-14T21:49:38.5477346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5477408Z yl = self.stages(x) 2025-08-14T21:49:38.5477606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5477682Z yl = self.stage3(xl) 2025-08-14T21:49:38.5477860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5477925Z x = module(x) 2025-08-14T21:49:38.5478106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5478174Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5478497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5478567Z x = self.conv2(x) 2025-08-14T21:49:38.5478570Z 2025-08-14T21:49:38.5478681Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5478906Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5478980Z return mod(*inputs) 2025-08-14T21:49:38.5479157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5479227Z y = self.forward_features(x) 2025-08-14T21:49:38.5479436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5479498Z yl = self.stages(x) 2025-08-14T21:49:38.5479673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5479742Z yl = self.stage3(xl) 2025-08-14T21:49:38.5479917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5479976Z x = module(x) 2025-08-14T21:49:38.5480158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5480217Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5480402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5480465Z x = self.act2(x) 2025-08-14T21:49:38.5480468Z 2025-08-14T21:49:38.5480564Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5480759Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5480822Z return mod(*inputs) 2025-08-14T21:49:38.5481007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5481073Z y = self.forward_features(x) 2025-08-14T21:49:38.5481275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5481345Z yl = self.stages(x) 2025-08-14T21:49:38.5481538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5481602Z yl = self.stage3(xl) 2025-08-14T21:49:38.5481782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5481843Z x = module(x) 2025-08-14T21:49:38.5482017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5482083Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5482263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5482330Z x = self.conv1(x) 2025-08-14T21:49:38.5482332Z 2025-08-14T21:49:38.5482429Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5482614Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5482683Z return mod(*inputs) 2025-08-14T21:49:38.5482860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5482935Z y = self.forward_features(x) 2025-08-14T21:49:38.5483137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5483238Z yl = self.stages(x) 2025-08-14T21:49:38.5483419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5483482Z yl = self.stage3(xl) 2025-08-14T21:49:38.5483656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5483722Z x = module(x) 2025-08-14T21:49:38.5483899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5483959Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5484148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5484208Z x = self.act1(x) 2025-08-14T21:49:38.5484211Z 2025-08-14T21:49:38.5484329Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5484515Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5484579Z return mod(*inputs) 2025-08-14T21:49:38.5484763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5484831Z y = self.forward_features(x) 2025-08-14T21:49:38.5485041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5485101Z yl = self.stages(x) 2025-08-14T21:49:38.5485277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5485346Z yl = self.stage3(xl) 2025-08-14T21:49:38.5485523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5485580Z x = module(x) 2025-08-14T21:49:38.5485763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5485824Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5486005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5486071Z x = self.conv2(x) 2025-08-14T21:49:38.5486074Z 2025-08-14T21:49:38.5486172Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5486367Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5486430Z return mod(*inputs) 2025-08-14T21:49:38.5486604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5486679Z y = self.forward_features(x) 2025-08-14T21:49:38.5486897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5486966Z yl = self.stages(x) 2025-08-14T21:49:38.5487142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5487205Z yl = self.stage3(xl) 2025-08-14T21:49:38.5487388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5487445Z x = module(x) 2025-08-14T21:49:38.5487622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5487701Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5487876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5487932Z x = self.act2(x) 2025-08-14T21:49:38.5487943Z 2025-08-14T21:49:38.5488039Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5488224Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5488291Z return mod(*inputs) 2025-08-14T21:49:38.5488467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5488547Z y = self.forward_features(x) 2025-08-14T21:49:38.5488766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5488826Z yl = self.stages(x) 2025-08-14T21:49:38.5489001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5489064Z yl = self.stage3(xl) 2025-08-14T21:49:38.5489232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5489295Z x = module(x) 2025-08-14T21:49:38.5489465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5489525Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5489723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5489785Z x = self.conv1(x) 2025-08-14T21:49:38.5489789Z 2025-08-14T21:49:38.5489891Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5490074Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5490133Z return mod(*inputs) 2025-08-14T21:49:38.5490310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5490374Z y = self.forward_features(x) 2025-08-14T21:49:38.5490570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5490637Z yl = self.stages(x) 2025-08-14T21:49:38.5490807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5490875Z yl = self.stage3(xl) 2025-08-14T21:49:38.5491047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5491102Z x = module(x) 2025-08-14T21:49:38.5491277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5491339Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5491512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5491577Z x = self.act1(x) 2025-08-14T21:49:38.5491580Z 2025-08-14T21:49:38.5491674Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5491860Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5491920Z return mod(*inputs) 2025-08-14T21:49:38.5492104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5492176Z y = self.forward_features(x) 2025-08-14T21:49:38.5492373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5492432Z yl = self.stages(x) 2025-08-14T21:49:38.5492617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5492682Z yl = self.stage3(xl) 2025-08-14T21:49:38.5492856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5492911Z x = module(x) 2025-08-14T21:49:38.5493080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5493145Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5493319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5493377Z x = self.conv2(x) 2025-08-14T21:49:38.5493381Z 2025-08-14T21:49:38.5493483Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5493670Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5493738Z return mod(*inputs) 2025-08-14T21:49:38.5493932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5494014Z y = self.forward_features(x) 2025-08-14T21:49:38.5494231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5494291Z yl = self.stages(x) 2025-08-14T21:49:38.5494460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5494528Z yl = self.stage3(xl) 2025-08-14T21:49:38.5494696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5494761Z x = module(x) 2025-08-14T21:49:38.5494930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5495011Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5495195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5495255Z x = self.act2(x) 2025-08-14T21:49:38.5495258Z 2025-08-14T21:49:38.5495353Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5495539Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5495600Z return mod(*inputs) 2025-08-14T21:49:38.5495775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5495840Z y = self.forward_features(x) 2025-08-14T21:49:38.5496038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5496105Z yl = self.stages(x) 2025-08-14T21:49:38.5496274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5496336Z yl = self.stage3(xl) 2025-08-14T21:49:38.5496512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5496571Z x = module(x) 2025-08-14T21:49:38.5496749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5496807Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5496981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5497047Z x = self.conv1(x) 2025-08-14T21:49:38.5497050Z 2025-08-14T21:49:38.5497144Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5497326Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5497408Z return mod(*inputs) 2025-08-14T21:49:38.5497576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5497650Z y = self.forward_features(x) 2025-08-14T21:49:38.5497846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5497907Z yl = self.stages(x) 2025-08-14T21:49:38.5498082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5498143Z yl = self.stage3(xl) 2025-08-14T21:49:38.5498312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5498378Z x = module(x) 2025-08-14T21:49:38.5498545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5498612Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5498786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5498844Z x = self.act1(x) 2025-08-14T21:49:38.5498847Z 2025-08-14T21:49:38.5498949Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5499146Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5499220Z return mod(*inputs) 2025-08-14T21:49:38.5499398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5499463Z y = self.forward_features(x) 2025-08-14T21:49:38.5499667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5499726Z yl = self.stages(x) 2025-08-14T21:49:38.5499892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5499961Z yl = self.stage3(xl) 2025-08-14T21:49:38.5500133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5500189Z x = module(x) 2025-08-14T21:49:38.5500382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5500444Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5500629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5500688Z x = self.conv2(x) 2025-08-14T21:49:38.5500691Z 2025-08-14T21:49:38.5500785Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5500975Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5501036Z return mod(*inputs) 2025-08-14T21:49:38.5501212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5501287Z y = self.forward_features(x) 2025-08-14T21:49:38.5501490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5501558Z yl = self.stages(x) 2025-08-14T21:49:38.5501733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5501796Z yl = self.stage3(xl) 2025-08-14T21:49:38.5501979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5502036Z x = module(x) 2025-08-14T21:49:38.5502211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5502279Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5502458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5502525Z x = self.act2(x) 2025-08-14T21:49:38.5502528Z 2025-08-14T21:49:38.5502625Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5502824Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5502894Z return mod(*inputs) 2025-08-14T21:49:38.5503074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5503142Z y = self.forward_features(x) 2025-08-14T21:49:38.5503350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5503410Z yl = self.stages(x) 2025-08-14T21:49:38.5503590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5503653Z yl = self.stage3(xl) 2025-08-14T21:49:38.5503827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5503892Z x = module(x) 2025-08-14T21:49:38.5504067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.5504124Z y = f(x[j]) 2025-08-14T21:49:38.5504127Z 2025-08-14T21:49:38.5504297Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5504491Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5504597Z return mod(*inputs) 2025-08-14T21:49:38.5504773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5504841Z y = self.forward_features(x) 2025-08-14T21:49:38.5505056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5505119Z yl = self.stages(x) 2025-08-14T21:49:38.5505297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5505381Z yl = self.stage3(xl) 2025-08-14T21:49:38.5505558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5505627Z x = module(x) 2025-08-14T21:49:38.5505815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.5505874Z y = y + f(x[j]) 2025-08-14T21:49:38.5505879Z 2025-08-14T21:49:38.5505990Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5506178Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5506243Z return mod(*inputs) 2025-08-14T21:49:38.5506424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5506492Z y = self.forward_features(x) 2025-08-14T21:49:38.5506703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5506764Z yl = self.stages(x) 2025-08-14T21:49:38.5506938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5507009Z yl = self.stage3(xl) 2025-08-14T21:49:38.5507189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5507248Z x = module(x) 2025-08-14T21:49:38.5507432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.5507488Z y = y + f(x[j]) 2025-08-14T21:49:38.5507493Z 2025-08-14T21:49:38.5507597Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5507782Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5507844Z return mod(*inputs) 2025-08-14T21:49:38.5508027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5508094Z y = self.forward_features(x) 2025-08-14T21:49:38.5508310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5508379Z yl = self.stages(x) 2025-08-14T21:49:38.5508557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5508629Z yl = self.stage3(xl) 2025-08-14T21:49:38.5508811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5508869Z x = module(x) 2025-08-14T21:49:38.5509053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:49:38.5509128Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:49:38.5509131Z 2025-08-14T21:49:38.5509228Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5509427Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5509490Z return mod(*inputs) 2025-08-14T21:49:38.5509683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5509751Z y = self.forward_features(x) 2025-08-14T21:49:38.5509957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5510056Z yl = self.stages(x) 2025-08-14T21:49:38.5510233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5510294Z yl = self.stage3(xl) 2025-08-14T21:49:38.5510480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5510536Z x = module(x) 2025-08-14T21:49:38.5510719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5510780Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5510959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5511031Z x = self.conv1(x) 2025-08-14T21:49:38.5511034Z 2025-08-14T21:49:38.5511131Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5511331Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5511403Z return mod(*inputs) 2025-08-14T21:49:38.5511578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5511652Z y = self.forward_features(x) 2025-08-14T21:49:38.5511853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5511913Z yl = self.stages(x) 2025-08-14T21:49:38.5512091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5512153Z yl = self.stage3(xl) 2025-08-14T21:49:38.5512332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5512401Z x = module(x) 2025-08-14T21:49:38.5512577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5512646Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5512828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5512887Z x = self.act1(x) 2025-08-14T21:49:38.5512891Z 2025-08-14T21:49:38.5512995Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5513181Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5513243Z return mod(*inputs) 2025-08-14T21:49:38.5513425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5513491Z y = self.forward_features(x) 2025-08-14T21:49:38.5513711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5513774Z yl = self.stages(x) 2025-08-14T21:49:38.5513948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5514019Z yl = self.stage3(xl) 2025-08-14T21:49:38.5514196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5514253Z x = module(x) 2025-08-14T21:49:38.5514434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5514495Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5514679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5514741Z x = self.conv2(x) 2025-08-14T21:49:38.5514743Z 2025-08-14T21:49:38.5514842Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5515037Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5515100Z return mod(*inputs) 2025-08-14T21:49:38.5515278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5515364Z y = self.forward_features(x) 2025-08-14T21:49:38.5515585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5515651Z yl = self.stages(x) 2025-08-14T21:49:38.5515822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5515884Z yl = self.stage3(xl) 2025-08-14T21:49:38.5516064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5516121Z x = module(x) 2025-08-14T21:49:38.5516296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5516363Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5516542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5516621Z x = self.act2(x) 2025-08-14T21:49:38.5516625Z 2025-08-14T21:49:38.5516723Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5516909Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5516976Z return mod(*inputs) 2025-08-14T21:49:38.5517151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5517219Z y = self.forward_features(x) 2025-08-14T21:49:38.5517425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5517487Z yl = self.stages(x) 2025-08-14T21:49:38.5517664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5517728Z yl = self.stage3(xl) 2025-08-14T21:49:38.5517903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5517969Z x = module(x) 2025-08-14T21:49:38.5518153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5518215Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5518396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5518455Z x = self.conv1(x) 2025-08-14T21:49:38.5518458Z 2025-08-14T21:49:38.5518561Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5518741Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5518801Z return mod(*inputs) 2025-08-14T21:49:38.5518977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5519058Z y = self.forward_features(x) 2025-08-14T21:49:38.5519256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5519322Z yl = self.stages(x) 2025-08-14T21:49:38.5519490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5519562Z yl = self.stage3(xl) 2025-08-14T21:49:38.5519730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5519787Z x = module(x) 2025-08-14T21:49:38.5519962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5520020Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5520193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5520258Z x = self.act1(x) 2025-08-14T21:49:38.5520261Z 2025-08-14T21:49:38.5520356Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5520543Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5520603Z return mod(*inputs) 2025-08-14T21:49:38.5520789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5520876Z y = self.forward_features(x) 2025-08-14T21:49:38.5521075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5521135Z yl = self.stages(x) 2025-08-14T21:49:38.5521316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5521376Z yl = self.stage3(xl) 2025-08-14T21:49:38.5521557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5521615Z x = module(x) 2025-08-14T21:49:38.5521792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5521859Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5522050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5522115Z x = self.conv2(x) 2025-08-14T21:49:38.5522125Z 2025-08-14T21:49:38.5522220Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5522403Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5522472Z return mod(*inputs) 2025-08-14T21:49:38.5522645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5522709Z y = self.forward_features(x) 2025-08-14T21:49:38.5522918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5522977Z yl = self.stages(x) 2025-08-14T21:49:38.5523147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5523216Z yl = self.stage3(xl) 2025-08-14T21:49:38.5523394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5523462Z x = module(x) 2025-08-14T21:49:38.5523639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5523699Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5523887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5523946Z x = self.act2(x) 2025-08-14T21:49:38.5523949Z 2025-08-14T21:49:38.5524051Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5524238Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5524300Z return mod(*inputs) 2025-08-14T21:49:38.5524506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5524574Z y = self.forward_features(x) 2025-08-14T21:49:38.5524773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5524844Z yl = self.stages(x) 2025-08-14T21:49:38.5525019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5525082Z yl = self.stage3(xl) 2025-08-14T21:49:38.5525268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5525326Z x = module(x) 2025-08-14T21:49:38.5525509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5525569Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5525750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5525817Z x = self.conv1(x) 2025-08-14T21:49:38.5525820Z 2025-08-14T21:49:38.5525917Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5526108Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5526198Z return mod(*inputs) 2025-08-14T21:49:38.5526373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5526446Z y = self.forward_features(x) 2025-08-14T21:49:38.5526651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5526710Z yl = self.stages(x) 2025-08-14T21:49:38.5526887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5526948Z yl = self.stage3(xl) 2025-08-14T21:49:38.5527122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5527186Z x = module(x) 2025-08-14T21:49:38.5527375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5527442Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5527626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5527684Z x = self.act1(x) 2025-08-14T21:49:38.5527687Z 2025-08-14T21:49:38.5527793Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5527982Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5528048Z return mod(*inputs) 2025-08-14T21:49:38.5528226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5528291Z y = self.forward_features(x) 2025-08-14T21:49:38.5528499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5528559Z yl = self.stages(x) 2025-08-14T21:49:38.5528735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5528809Z yl = self.stage3(xl) 2025-08-14T21:49:38.5528986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5529042Z x = module(x) 2025-08-14T21:49:38.5529223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5529283Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5529471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5529531Z x = self.conv2(x) 2025-08-14T21:49:38.5529534Z 2025-08-14T21:49:38.5529631Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5529855Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5529918Z return mod(*inputs) 2025-08-14T21:49:38.5530100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5530167Z y = self.forward_features(x) 2025-08-14T21:49:38.5530373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5530440Z yl = self.stages(x) 2025-08-14T21:49:38.5530614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5530678Z yl = self.stage3(xl) 2025-08-14T21:49:38.5530862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5530920Z x = module(x) 2025-08-14T21:49:38.5531102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5531163Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5531344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5531422Z x = self.act2(x) 2025-08-14T21:49:38.5531441Z 2025-08-14T21:49:38.5531538Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5531737Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5531805Z return mod(*inputs) 2025-08-14T21:49:38.5531976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5532048Z y = self.forward_features(x) 2025-08-14T21:49:38.5532245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5532305Z yl = self.stages(x) 2025-08-14T21:49:38.5532482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5532543Z yl = self.stage3(xl) 2025-08-14T21:49:38.5532731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5532797Z x = module(x) 2025-08-14T21:49:38.5532970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5533038Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5533212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5533271Z x = self.conv1(x) 2025-08-14T21:49:38.5533274Z 2025-08-14T21:49:38.5533376Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5533557Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5533617Z return mod(*inputs) 2025-08-14T21:49:38.5533797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5533863Z y = self.forward_features(x) 2025-08-14T21:49:38.5534068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5534126Z yl = self.stages(x) 2025-08-14T21:49:38.5534296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5534366Z yl = self.stage3(xl) 2025-08-14T21:49:38.5534537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5534596Z x = module(x) 2025-08-14T21:49:38.5534777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5534837Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5535019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5535078Z x = self.act1(x) 2025-08-14T21:49:38.5535097Z 2025-08-14T21:49:38.5535192Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5535379Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5535438Z return mod(*inputs) 2025-08-14T21:49:38.5535608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5535682Z y = self.forward_features(x) 2025-08-14T21:49:38.5535876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5535944Z yl = self.stages(x) 2025-08-14T21:49:38.5536112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5536171Z yl = self.stage3(xl) 2025-08-14T21:49:38.5536347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5536404Z x = module(x) 2025-08-14T21:49:38.5536574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5536642Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5536816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5536920Z x = self.conv2(x) 2025-08-14T21:49:38.5536924Z 2025-08-14T21:49:38.5537022Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5537201Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5537268Z return mod(*inputs) 2025-08-14T21:49:38.5537437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5537501Z y = self.forward_features(x) 2025-08-14T21:49:38.5537704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5537765Z yl = self.stages(x) 2025-08-14T21:49:38.5537942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5538018Z yl = self.stage3(xl) 2025-08-14T21:49:38.5538191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5538265Z x = module(x) 2025-08-14T21:49:38.5538434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5538492Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5538671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5538728Z x = self.act2(x) 2025-08-14T21:49:38.5538731Z 2025-08-14T21:49:38.5538831Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5539012Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5539074Z return mod(*inputs) 2025-08-14T21:49:38.5539251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5539321Z y = self.forward_features(x) 2025-08-14T21:49:38.5539520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5539592Z yl = self.stages(x) 2025-08-14T21:49:38.5539762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5539830Z yl = self.stage3(xl) 2025-08-14T21:49:38.5540005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5540062Z x = module(x) 2025-08-14T21:49:38.5540243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.5540301Z y = y + f(x[j]) 2025-08-14T21:49:38.5540305Z 2025-08-14T21:49:38.5540417Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5540613Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5540675Z return mod(*inputs) 2025-08-14T21:49:38.5540858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5540928Z y = self.forward_features(x) 2025-08-14T21:49:38.5541129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5541197Z yl = self.stages(x) 2025-08-14T21:49:38.5541370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5541432Z yl = self.stage3(xl) 2025-08-14T21:49:38.5541615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5541673Z x = module(x) 2025-08-14T21:49:38.5541857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.5541915Z y = y + f(x[j]) 2025-08-14T21:49:38.5541918Z 2025-08-14T21:49:38.5542018Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5542225Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5542302Z return mod(*inputs) 2025-08-14T21:49:38.5542477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5542552Z y = self.forward_features(x) 2025-08-14T21:49:38.5542753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5542820Z yl = self.stages(x) 2025-08-14T21:49:38.5542991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5543053Z yl = self.stage3(xl) 2025-08-14T21:49:38.5543237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5543294Z x = module(x) 2025-08-14T21:49:38.5543482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5543555Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5543732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5543800Z x = self.conv1(x) 2025-08-14T21:49:38.5543803Z 2025-08-14T21:49:38.5543902Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5544085Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5544157Z return mod(*inputs) 2025-08-14T21:49:38.5544420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5544497Z y = self.forward_features(x) 2025-08-14T21:49:38.5544721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5544789Z yl = self.stages(x) 2025-08-14T21:49:38.5544982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5545052Z yl = self.stage3(xl) 2025-08-14T21:49:38.5545237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5545305Z x = module(x) 2025-08-14T21:49:38.5545491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5545555Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5545754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5545814Z x = self.act1(x) 2025-08-14T21:49:38.5545817Z 2025-08-14T21:49:38.5545941Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5546129Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5546193Z return mod(*inputs) 2025-08-14T21:49:38.5546378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5546447Z y = self.forward_features(x) 2025-08-14T21:49:38.5546648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5546716Z yl = self.stages(x) 2025-08-14T21:49:38.5546890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5546960Z yl = self.stage3(xl) 2025-08-14T21:49:38.5547135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5547190Z x = module(x) 2025-08-14T21:49:38.5547373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5547433Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5547613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5547701Z x = self.conv2(x) 2025-08-14T21:49:38.5547718Z 2025-08-14T21:49:38.5547816Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5548010Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5548071Z return mod(*inputs) 2025-08-14T21:49:38.5548244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5548317Z y = self.forward_features(x) 2025-08-14T21:49:38.5548518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5548578Z yl = self.stages(x) 2025-08-14T21:49:38.5548759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5548822Z yl = self.stage3(xl) 2025-08-14T21:49:38.5549017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5549077Z x = module(x) 2025-08-14T21:49:38.5549253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5549320Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5549496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5549556Z x = self.act2(x) 2025-08-14T21:49:38.5549559Z 2025-08-14T21:49:38.5549661Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5549849Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5549917Z return mod(*inputs) 2025-08-14T21:49:38.5550094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5550161Z y = self.forward_features(x) 2025-08-14T21:49:38.5550373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5550435Z yl = self.stages(x) 2025-08-14T21:49:38.5550609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5550679Z yl = self.stage3(xl) 2025-08-14T21:49:38.5550852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5550916Z x = module(x) 2025-08-14T21:49:38.5551088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5551147Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5551332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5551408Z x = self.conv1(x) 2025-08-14T21:49:38.5551411Z 2025-08-14T21:49:38.5551510Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5551704Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5551767Z return mod(*inputs) 2025-08-14T21:49:38.5551950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5552017Z y = self.forward_features(x) 2025-08-14T21:49:38.5552216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5552284Z yl = self.stages(x) 2025-08-14T21:49:38.5552458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5552521Z yl = self.stage3(xl) 2025-08-14T21:49:38.5552706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5552763Z x = module(x) 2025-08-14T21:49:38.5552945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5553005Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5553201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5553285Z x = self.act1(x) 2025-08-14T21:49:38.5553288Z 2025-08-14T21:49:38.5553390Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5553585Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5553659Z return mod(*inputs) 2025-08-14T21:49:38.5553851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5553929Z y = self.forward_features(x) 2025-08-14T21:49:38.5554134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5554199Z yl = self.stages(x) 2025-08-14T21:49:38.5554397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5554459Z yl = self.stage3(xl) 2025-08-14T21:49:38.5554638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5554705Z x = module(x) 2025-08-14T21:49:38.5554881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5554948Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5555130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5555191Z x = self.conv2(x) 2025-08-14T21:49:38.5555194Z 2025-08-14T21:49:38.5555299Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5555487Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5555548Z return mod(*inputs) 2025-08-14T21:49:38.5555742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5555809Z y = self.forward_features(x) 2025-08-14T21:49:38.5556021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5556084Z yl = self.stages(x) 2025-08-14T21:49:38.5556260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5556330Z yl = self.stage3(xl) 2025-08-14T21:49:38.5556506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5556563Z x = module(x) 2025-08-14T21:49:38.5556744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5556804Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5557015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5557076Z x = self.act2(x) 2025-08-14T21:49:38.5557080Z 2025-08-14T21:49:38.5557177Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5557375Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5557437Z return mod(*inputs) 2025-08-14T21:49:38.5557615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5557689Z y = self.forward_features(x) 2025-08-14T21:49:38.5557894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5557961Z yl = self.stages(x) 2025-08-14T21:49:38.5558138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5558204Z yl = self.stage3(xl) 2025-08-14T21:49:38.5558391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5558450Z x = module(x) 2025-08-14T21:49:38.5558627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5558724Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5558908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5558978Z x = self.conv1(x) 2025-08-14T21:49:38.5558982Z 2025-08-14T21:49:38.5559078Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5559264Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5559335Z return mod(*inputs) 2025-08-14T21:49:38.5559513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5559582Z y = self.forward_features(x) 2025-08-14T21:49:38.5559794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5559895Z yl = self.stages(x) 2025-08-14T21:49:38.5560075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5560141Z yl = self.stage3(xl) 2025-08-14T21:49:38.5560313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5560377Z x = module(x) 2025-08-14T21:49:38.5560553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5560611Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5560799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5560857Z x = self.act1(x) 2025-08-14T21:49:38.5560860Z 2025-08-14T21:49:38.5560964Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5561150Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5561212Z return mod(*inputs) 2025-08-14T21:49:38.5561392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5561460Z y = self.forward_features(x) 2025-08-14T21:49:38.5561658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5561726Z yl = self.stages(x) 2025-08-14T21:49:38.5561897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5561965Z yl = self.stage3(xl) 2025-08-14T21:49:38.5562141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5562198Z x = module(x) 2025-08-14T21:49:38.5562395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5562459Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5562644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5562715Z x = self.conv2(x) 2025-08-14T21:49:38.5562719Z 2025-08-14T21:49:38.5562816Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5563008Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5563069Z return mod(*inputs) 2025-08-14T21:49:38.5563242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5563318Z y = self.forward_features(x) 2025-08-14T21:49:38.5563518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5563580Z yl = self.stages(x) 2025-08-14T21:49:38.5563759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5563821Z yl = self.stage3(xl) 2025-08-14T21:49:38.5564002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5564089Z x = module(x) 2025-08-14T21:49:38.5564266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5564334Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5564516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5564575Z x = self.act2(x) 2025-08-14T21:49:38.5564586Z 2025-08-14T21:49:38.5564683Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5564873Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5564945Z return mod(*inputs) 2025-08-14T21:49:38.5565124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5565190Z y = self.forward_features(x) 2025-08-14T21:49:38.5565416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5565487Z yl = self.stages(x) 2025-08-14T21:49:38.5565661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5565733Z yl = self.stage3(xl) 2025-08-14T21:49:38.5565908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5565971Z x = module(x) 2025-08-14T21:49:38.5566148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5566208Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5566396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5566458Z x = self.conv1(x) 2025-08-14T21:49:38.5566461Z 2025-08-14T21:49:38.5566560Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5566754Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5566819Z return mod(*inputs) 2025-08-14T21:49:38.5567001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5567067Z y = self.forward_features(x) 2025-08-14T21:49:38.5567272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5567341Z yl = self.stages(x) 2025-08-14T21:49:38.5567514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5567577Z yl = self.stage3(xl) 2025-08-14T21:49:38.5567772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5567831Z x = module(x) 2025-08-14T21:49:38.5568013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5568074Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5568255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5568323Z x = self.act1(x) 2025-08-14T21:49:38.5568326Z 2025-08-14T21:49:38.5568421Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5568609Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5568677Z return mod(*inputs) 2025-08-14T21:49:38.5568852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5568926Z y = self.forward_features(x) 2025-08-14T21:49:38.5569131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5569192Z yl = self.stages(x) 2025-08-14T21:49:38.5569375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5569452Z yl = self.stage3(xl) 2025-08-14T21:49:38.5569644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5569709Z x = module(x) 2025-08-14T21:49:38.5569883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5569949Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5570130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5570191Z x = self.conv2(x) 2025-08-14T21:49:38.5570194Z 2025-08-14T21:49:38.5570299Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5570487Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5570549Z return mod(*inputs) 2025-08-14T21:49:38.5570745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5570814Z y = self.forward_features(x) 2025-08-14T21:49:38.5571027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5571087Z yl = self.stages(x) 2025-08-14T21:49:38.5571258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5571328Z yl = self.stage3(xl) 2025-08-14T21:49:38.5571501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5571558Z x = module(x) 2025-08-14T21:49:38.5571737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.5571797Z y = f(x[j]) 2025-08-14T21:49:38.5571800Z 2025-08-14T21:49:38.5571905Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5572091Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5572154Z return mod(*inputs) 2025-08-14T21:49:38.5572336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5572402Z y = self.forward_features(x) 2025-08-14T21:49:38.5572604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5572671Z yl = self.stages(x) 2025-08-14T21:49:38.5572841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5572907Z yl = self.stage3(xl) 2025-08-14T21:49:38.5573080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5573149Z x = module(x) 2025-08-14T21:49:38.5573332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.5573390Z y = f(x[j]) 2025-08-14T21:49:38.5573393Z 2025-08-14T21:49:38.5573499Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5573685Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5573747Z return mod(*inputs) 2025-08-14T21:49:38.5573929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5573995Z y = self.forward_features(x) 2025-08-14T21:49:38.5574196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5574264Z yl = self.stages(x) 2025-08-14T21:49:38.5574436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5574507Z yl = self.stage3(xl) 2025-08-14T21:49:38.5574683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5574741Z x = module(x) 2025-08-14T21:49:38.5574937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.5575008Z y = f(x[j]) 2025-08-14T21:49:38.5575011Z 2025-08-14T21:49:38.5575107Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5575302Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5575363Z return mod(*inputs) 2025-08-14T21:49:38.5575544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5575612Z y = self.forward_features(x) 2025-08-14T21:49:38.5575816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5575885Z yl = self.stages(x) 2025-08-14T21:49:38.5576083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5576146Z yl = self.stage3(xl) 2025-08-14T21:49:38.5576332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5576393Z x = module(x) 2025-08-14T21:49:38.5576569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.5576636Z y = y + f(x[j]) 2025-08-14T21:49:38.5576640Z 2025-08-14T21:49:38.5576737Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5576930Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5576991Z return mod(*inputs) 2025-08-14T21:49:38.5577168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5577244Z y = self.forward_features(x) 2025-08-14T21:49:38.5577449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5577520Z yl = self.stages(x) 2025-08-14T21:49:38.5577697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5577761Z yl = self.stage3(xl) 2025-08-14T21:49:38.5577943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5578001Z x = module(x) 2025-08-14T21:49:38.5578181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.5578246Z y = y + f(x[j]) 2025-08-14T21:49:38.5578249Z 2025-08-14T21:49:38.5578512Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5578758Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5578824Z return mod(*inputs) 2025-08-14T21:49:38.5579002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5579077Z y = self.forward_features(x) 2025-08-14T21:49:38.5579282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5579345Z yl = self.stages(x) 2025-08-14T21:49:38.5579528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5579592Z yl = self.stage3(xl) 2025-08-14T21:49:38.5579779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5579837Z x = module(x) 2025-08-14T21:49:38.5580012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.5580078Z y = y + f(x[j]) 2025-08-14T21:49:38.5580083Z 2025-08-14T21:49:38.5580179Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5580366Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5580466Z return mod(*inputs) 2025-08-14T21:49:38.5580666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5580739Z y = self.forward_features(x) 2025-08-14T21:49:38.5580942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5581003Z yl = self.stages(x) 2025-08-14T21:49:38.5581186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5581250Z yl = self.stage3(xl) 2025-08-14T21:49:38.5581431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5581502Z x = module(x) 2025-08-14T21:49:38.5581680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:49:38.5581786Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:49:38.5581790Z 2025-08-14T21:49:38.5581896Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5582088Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5582161Z return mod(*inputs) 2025-08-14T21:49:38.5582345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5582413Z y = self.forward_features(x) 2025-08-14T21:49:38.5582629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5582690Z yl = self.stages(x) 2025-08-14T21:49:38.5582874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5582940Z yl = self.stage3(xl) 2025-08-14T21:49:38.5583118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5583183Z x = module(x) 2025-08-14T21:49:38.5583360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5583423Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5583613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5583677Z x = self.conv1(x) 2025-08-14T21:49:38.5583680Z 2025-08-14T21:49:38.5583785Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5583974Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5584039Z return mod(*inputs) 2025-08-14T21:49:38.5584267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5584364Z y = self.forward_features(x) 2025-08-14T21:49:38.5584573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5584644Z yl = self.stages(x) 2025-08-14T21:49:38.5584824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5584896Z yl = self.stage3(xl) 2025-08-14T21:49:38.5585076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5585135Z x = module(x) 2025-08-14T21:49:38.5585320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5585383Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5585567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5585636Z x = self.act1(x) 2025-08-14T21:49:38.5585639Z 2025-08-14T21:49:38.5585741Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5585940Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5586003Z return mod(*inputs) 2025-08-14T21:49:38.5586201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5586296Z y = self.forward_features(x) 2025-08-14T21:49:38.5586505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5586568Z yl = self.stages(x) 2025-08-14T21:49:38.5586756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5586820Z yl = self.stage3(xl) 2025-08-14T21:49:38.5587006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5587065Z x = module(x) 2025-08-14T21:49:38.5587246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5587316Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5587514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5587579Z x = self.conv2(x) 2025-08-14T21:49:38.5587583Z 2025-08-14T21:49:38.5587690Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5587881Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5587952Z return mod(*inputs) 2025-08-14T21:49:38.5588133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5588201Z y = self.forward_features(x) 2025-08-14T21:49:38.5588416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5588483Z yl = self.stages(x) 2025-08-14T21:49:38.5588665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5588740Z yl = self.stage3(xl) 2025-08-14T21:49:38.5588919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5588988Z x = module(x) 2025-08-14T21:49:38.5589168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5589231Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5589425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5589485Z x = self.act2(x) 2025-08-14T21:49:38.5589488Z 2025-08-14T21:49:38.5589589Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5589788Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5589869Z return mod(*inputs) 2025-08-14T21:49:38.5590056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5590125Z y = self.forward_features(x) 2025-08-14T21:49:38.5590332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5590404Z yl = self.stages(x) 2025-08-14T21:49:38.5590581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5590645Z yl = self.stage3(xl) 2025-08-14T21:49:38.5590833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5590891Z x = module(x) 2025-08-14T21:49:38.5591125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5591187Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5591380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5591450Z x = self.conv1(x) 2025-08-14T21:49:38.5591453Z 2025-08-14T21:49:38.5591559Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5591753Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5591854Z return mod(*inputs) 2025-08-14T21:49:38.5592039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5592117Z y = self.forward_features(x) 2025-08-14T21:49:38.5592373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5592434Z yl = self.stages(x) 2025-08-14T21:49:38.5592623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5592688Z yl = self.stage3(xl) 2025-08-14T21:49:38.5592904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5592970Z x = module(x) 2025-08-14T21:49:38.5593169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5593240Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5593430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5593490Z x = self.act1(x) 2025-08-14T21:49:38.5593494Z 2025-08-14T21:49:38.5593603Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5593795Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5593858Z return mod(*inputs) 2025-08-14T21:49:38.5594047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5594115Z y = self.forward_features(x) 2025-08-14T21:49:38.5594333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5594396Z yl = self.stages(x) 2025-08-14T21:49:38.5594576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5594651Z yl = self.stage3(xl) 2025-08-14T21:49:38.5594833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5594892Z x = module(x) 2025-08-14T21:49:38.5595084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5595147Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5595338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5595401Z x = self.conv2(x) 2025-08-14T21:49:38.5595404Z 2025-08-14T21:49:38.5595503Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5595717Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5595782Z return mod(*inputs) 2025-08-14T21:49:38.5595964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5596044Z y = self.forward_features(x) 2025-08-14T21:49:38.5596251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5596322Z yl = self.stages(x) 2025-08-14T21:49:38.5596498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5596560Z yl = self.stage3(xl) 2025-08-14T21:49:38.5596746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5596803Z x = module(x) 2025-08-14T21:49:38.5596983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5597049Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5597237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5597304Z x = self.act2(x) 2025-08-14T21:49:38.5597322Z 2025-08-14T21:49:38.5597421Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5597638Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5597709Z return mod(*inputs) 2025-08-14T21:49:38.5597888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5597956Z y = self.forward_features(x) 2025-08-14T21:49:38.5598170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5598232Z yl = self.stages(x) 2025-08-14T21:49:38.5598418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5598481Z yl = self.stage3(xl) 2025-08-14T21:49:38.5598675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5598741Z x = module(x) 2025-08-14T21:49:38.5598923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5598987Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5599179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5599240Z x = self.conv1(x) 2025-08-14T21:49:38.5599243Z 2025-08-14T21:49:38.5599347Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5599540Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5599602Z return mod(*inputs) 2025-08-14T21:49:38.5599792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5599862Z y = self.forward_features(x) 2025-08-14T21:49:38.5600069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5600140Z yl = self.stages(x) 2025-08-14T21:49:38.5600317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5600386Z yl = self.stage3(xl) 2025-08-14T21:49:38.5600566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5600625Z x = module(x) 2025-08-14T21:49:38.5600810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5600872Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5601055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5601124Z x = self.act1(x) 2025-08-14T21:49:38.5601142Z 2025-08-14T21:49:38.5601243Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5601442Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5601505Z return mod(*inputs) 2025-08-14T21:49:38.5601684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5601759Z y = self.forward_features(x) 2025-08-14T21:49:38.5601964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5602028Z yl = self.stages(x) 2025-08-14T21:49:38.5602214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5602278Z yl = self.stage3(xl) 2025-08-14T21:49:38.5602466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5602527Z x = module(x) 2025-08-14T21:49:38.5602702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5602772Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5602958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5603051Z x = self.conv2(x) 2025-08-14T21:49:38.5603054Z 2025-08-14T21:49:38.5603162Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5603354Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5603423Z return mod(*inputs) 2025-08-14T21:49:38.5603605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5603673Z y = self.forward_features(x) 2025-08-14T21:49:38.5603886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5603951Z yl = self.stages(x) 2025-08-14T21:49:38.5604144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5604216Z yl = self.stage3(xl) 2025-08-14T21:49:38.5604395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5604467Z x = module(x) 2025-08-14T21:49:38.5604638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5604696Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5604878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5604936Z x = self.act2(x) 2025-08-14T21:49:38.5604939Z 2025-08-14T21:49:38.5605033Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5605221Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5605281Z return mod(*inputs) 2025-08-14T21:49:38.5605459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5605523Z y = self.forward_features(x) 2025-08-14T21:49:38.5605719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5605788Z yl = self.stages(x) 2025-08-14T21:49:38.5605956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5606018Z yl = self.stage3(xl) 2025-08-14T21:49:38.5606196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5606250Z x = module(x) 2025-08-14T21:49:38.5606427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5606484Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5606674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5606741Z x = self.conv1(x) 2025-08-14T21:49:38.5606744Z 2025-08-14T21:49:38.5606839Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5607022Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5607091Z return mod(*inputs) 2025-08-14T21:49:38.5607261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5607334Z y = self.forward_features(x) 2025-08-14T21:49:38.5607532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5607589Z yl = self.stages(x) 2025-08-14T21:49:38.5607764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5607824Z yl = self.stage3(xl) 2025-08-14T21:49:38.5607998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5608060Z x = module(x) 2025-08-14T21:49:38.5608233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5608328Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5608507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5608564Z x = self.act1(x) 2025-08-14T21:49:38.5608567Z 2025-08-14T21:49:38.5608668Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5608852Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5608911Z return mod(*inputs) 2025-08-14T21:49:38.5609090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5609155Z y = self.forward_features(x) 2025-08-14T21:49:38.5609361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5609436Z yl = self.stages(x) 2025-08-14T21:49:38.5609605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5609674Z yl = self.stage3(xl) 2025-08-14T21:49:38.5609842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5609897Z x = module(x) 2025-08-14T21:49:38.5610072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5610129Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5610309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5610370Z x = self.conv2(x) 2025-08-14T21:49:38.5610373Z 2025-08-14T21:49:38.5610469Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5610657Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5610719Z return mod(*inputs) 2025-08-14T21:49:38.5610889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5610963Z y = self.forward_features(x) 2025-08-14T21:49:38.5611159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5611225Z yl = self.stages(x) 2025-08-14T21:49:38.5611395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5611455Z yl = self.stage3(xl) 2025-08-14T21:49:38.5611632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5611686Z x = module(x) 2025-08-14T21:49:38.5611868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5611936Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5612109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5612175Z x = self.act2(x) 2025-08-14T21:49:38.5612180Z 2025-08-14T21:49:38.5612274Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5612455Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5612524Z return mod(*inputs) 2025-08-14T21:49:38.5612693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5612758Z y = self.forward_features(x) 2025-08-14T21:49:38.5612965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5613024Z yl = self.stages(x) 2025-08-14T21:49:38.5613200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5613260Z yl = self.stage3(xl) 2025-08-14T21:49:38.5613430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5613511Z x = module(x) 2025-08-14T21:49:38.5613700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.5613757Z y = f(x[j]) 2025-08-14T21:49:38.5613768Z 2025-08-14T21:49:38.5613865Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5614049Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5614117Z return mod(*inputs) 2025-08-14T21:49:38.5614293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5614359Z y = self.forward_features(x) 2025-08-14T21:49:38.5614568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5614628Z yl = self.stages(x) 2025-08-14T21:49:38.5614813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5614884Z yl = self.stage3(xl) 2025-08-14T21:49:38.5615057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5615121Z x = module(x) 2025-08-14T21:49:38.5615304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.5615359Z y = y + f(x[j]) 2025-08-14T21:49:38.5615362Z 2025-08-14T21:49:38.5615466Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5615646Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5615713Z return mod(*inputs) 2025-08-14T21:49:38.5615883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5615949Z y = self.forward_features(x) 2025-08-14T21:49:38.5616153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5616214Z yl = self.stages(x) 2025-08-14T21:49:38.5616381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5616450Z yl = self.stage3(xl) 2025-08-14T21:49:38.5616620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5616674Z x = module(x) 2025-08-14T21:49:38.5616850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.5616905Z y = y + f(x[j]) 2025-08-14T21:49:38.5616908Z 2025-08-14T21:49:38.5617009Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5617208Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5617270Z return mod(*inputs) 2025-08-14T21:49:38.5617452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5617519Z y = self.forward_features(x) 2025-08-14T21:49:38.5617720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5617780Z yl = self.stages(x) 2025-08-14T21:49:38.5617947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5618014Z yl = self.stage3(xl) 2025-08-14T21:49:38.5618183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5618238Z x = module(x) 2025-08-14T21:49:38.5618417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:49:38.5618491Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:49:38.5618495Z 2025-08-14T21:49:38.5618599Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5618780Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5618879Z return mod(*inputs) 2025-08-14T21:49:38.5619054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5619118Z y = self.forward_features(x) 2025-08-14T21:49:38.5619313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5619380Z yl = self.stages(x) 2025-08-14T21:49:38.5619549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5619616Z yl = self.stage3(xl) 2025-08-14T21:49:38.5619787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5619843Z x = module(x) 2025-08-14T21:49:38.5620032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5620094Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5620269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5620336Z x = self.conv1(x) 2025-08-14T21:49:38.5620339Z 2025-08-14T21:49:38.5620432Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5620621Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5620681Z return mod(*inputs) 2025-08-14T21:49:38.5620850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5620921Z y = self.forward_features(x) 2025-08-14T21:49:38.5621120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5621179Z yl = self.stages(x) 2025-08-14T21:49:38.5621355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5621418Z yl = self.stage3(xl) 2025-08-14T21:49:38.5621602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5621659Z x = module(x) 2025-08-14T21:49:38.5621834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5621900Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5622079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5622137Z x = self.act1(x) 2025-08-14T21:49:38.5622140Z 2025-08-14T21:49:38.5622246Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5622447Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5622517Z return mod(*inputs) 2025-08-14T21:49:38.5622692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5622761Z y = self.forward_features(x) 2025-08-14T21:49:38.5622970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5623033Z yl = self.stages(x) 2025-08-14T21:49:38.5623205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5623275Z yl = self.stage3(xl) 2025-08-14T21:49:38.5623450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5623515Z x = module(x) 2025-08-14T21:49:38.5623690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5623751Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5623941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5624003Z x = self.conv2(x) 2025-08-14T21:49:38.5624006Z 2025-08-14T21:49:38.5624123Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5624488Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5624562Z return mod(*inputs) 2025-08-14T21:49:38.5624769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5624844Z y = self.forward_features(x) 2025-08-14T21:49:38.5625066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5625144Z yl = self.stages(x) 2025-08-14T21:49:38.5625339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5625413Z yl = self.stage3(xl) 2025-08-14T21:49:38.5625638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5625703Z x = module(x) 2025-08-14T21:49:38.5625913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5625976Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5626157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5626227Z x = self.act2(x) 2025-08-14T21:49:38.5626230Z 2025-08-14T21:49:38.5626327Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5626512Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5626580Z return mod(*inputs) 2025-08-14T21:49:38.5626757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5626836Z y = self.forward_features(x) 2025-08-14T21:49:38.5627042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5627102Z yl = self.stages(x) 2025-08-14T21:49:38.5627281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5627345Z yl = self.stage3(xl) 2025-08-14T21:49:38.5627521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5627587Z x = module(x) 2025-08-14T21:49:38.5627761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5627827Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5628009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5628069Z x = self.conv1(x) 2025-08-14T21:49:38.5628072Z 2025-08-14T21:49:38.5628192Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5628379Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5628441Z return mod(*inputs) 2025-08-14T21:49:38.5628632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5628701Z y = self.forward_features(x) 2025-08-14T21:49:38.5628909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5628969Z yl = self.stages(x) 2025-08-14T21:49:38.5629140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5629208Z yl = self.stage3(xl) 2025-08-14T21:49:38.5629383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5629441Z x = module(x) 2025-08-14T21:49:38.5629625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5629687Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5629873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5629973Z x = self.act1(x) 2025-08-14T21:49:38.5629976Z 2025-08-14T21:49:38.5630074Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5630268Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5630330Z return mod(*inputs) 2025-08-14T21:49:38.5630505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5630581Z y = self.forward_features(x) 2025-08-14T21:49:38.5630785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5630855Z yl = self.stages(x) 2025-08-14T21:49:38.5631029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5631107Z yl = self.stage3(xl) 2025-08-14T21:49:38.5631287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5631347Z x = module(x) 2025-08-14T21:49:38.5631523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5631591Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5631771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5631839Z x = self.conv2(x) 2025-08-14T21:49:38.5631842Z 2025-08-14T21:49:38.5631938Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5632123Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5632192Z return mod(*inputs) 2025-08-14T21:49:38.5632370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5632438Z y = self.forward_features(x) 2025-08-14T21:49:38.5632644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5632706Z yl = self.stages(x) 2025-08-14T21:49:38.5632885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5632947Z yl = self.stage3(xl) 2025-08-14T21:49:38.5633120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5633183Z x = module(x) 2025-08-14T21:49:38.5633356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5633416Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5633616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5633676Z x = self.act2(x) 2025-08-14T21:49:38.5633679Z 2025-08-14T21:49:38.5633785Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5633975Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5634041Z return mod(*inputs) 2025-08-14T21:49:38.5634224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5634291Z y = self.forward_features(x) 2025-08-14T21:49:38.5634495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5634565Z yl = self.stages(x) 2025-08-14T21:49:38.5634740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5634811Z yl = self.stage3(xl) 2025-08-14T21:49:38.5634988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5635046Z x = module(x) 2025-08-14T21:49:38.5635229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5635304Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5635499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5635567Z x = self.conv1(x) 2025-08-14T21:49:38.5635570Z 2025-08-14T21:49:38.5635666Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5635861Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5635922Z return mod(*inputs) 2025-08-14T21:49:38.5636094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5636167Z y = self.forward_features(x) 2025-08-14T21:49:38.5636369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5636429Z yl = self.stages(x) 2025-08-14T21:49:38.5636622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5636689Z yl = self.stage3(xl) 2025-08-14T21:49:38.5636869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5636926Z x = module(x) 2025-08-14T21:49:38.5637098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5637165Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5637344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5637402Z x = self.act1(x) 2025-08-14T21:49:38.5637405Z 2025-08-14T21:49:38.5637512Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5637697Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5637764Z return mod(*inputs) 2025-08-14T21:49:38.5637941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5638011Z y = self.forward_features(x) 2025-08-14T21:49:38.5638217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5638276Z yl = self.stages(x) 2025-08-14T21:49:38.5638450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5638519Z yl = self.stage3(xl) 2025-08-14T21:49:38.5638693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5638756Z x = module(x) 2025-08-14T21:49:38.5638966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5639026Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5639206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5639265Z x = self.conv2(x) 2025-08-14T21:49:38.5639270Z 2025-08-14T21:49:38.5639365Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5639555Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5639614Z return mod(*inputs) 2025-08-14T21:49:38.5639790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5639855Z y = self.forward_features(x) 2025-08-14T21:49:38.5640050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5640119Z yl = self.stages(x) 2025-08-14T21:49:38.5640289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5640350Z yl = self.stage3(xl) 2025-08-14T21:49:38.5640527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5640599Z x = module(x) 2025-08-14T21:49:38.5640777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5640854Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5641031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5641097Z x = self.act2(x) 2025-08-14T21:49:38.5641100Z 2025-08-14T21:49:38.5641196Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5641382Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5641450Z return mod(*inputs) 2025-08-14T21:49:38.5641624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5641698Z y = self.forward_features(x) 2025-08-14T21:49:38.5641913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5641974Z yl = self.stages(x) 2025-08-14T21:49:38.5642152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5642212Z yl = self.stage3(xl) 2025-08-14T21:49:38.5642385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5642450Z x = module(x) 2025-08-14T21:49:38.5642622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5642686Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5642862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5642923Z x = self.conv1(x) 2025-08-14T21:49:38.5642926Z 2025-08-14T21:49:38.5643027Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5643210Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5643272Z return mod(*inputs) 2025-08-14T21:49:38.5643450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5643514Z y = self.forward_features(x) 2025-08-14T21:49:38.5643719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5643779Z yl = self.stages(x) 2025-08-14T21:49:38.5643947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5644014Z yl = self.stage3(xl) 2025-08-14T21:49:38.5644184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5644254Z x = module(x) 2025-08-14T21:49:38.5644434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5644493Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5644676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5644736Z x = self.act1(x) 2025-08-14T21:49:38.5644739Z 2025-08-14T21:49:38.5644832Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5645020Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5645080Z return mod(*inputs) 2025-08-14T21:49:38.5645252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5645324Z y = self.forward_features(x) 2025-08-14T21:49:38.5645521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5645590Z yl = self.stages(x) 2025-08-14T21:49:38.5645762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5645824Z yl = self.stage3(xl) 2025-08-14T21:49:38.5646016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5646108Z x = module(x) 2025-08-14T21:49:38.5646282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5646347Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5646524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5646591Z x = self.conv2(x) 2025-08-14T21:49:38.5646594Z 2025-08-14T21:49:38.5646691Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5646874Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5646945Z return mod(*inputs) 2025-08-14T21:49:38.5647133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5647201Z y = self.forward_features(x) 2025-08-14T21:49:38.5647408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5647470Z yl = self.stages(x) 2025-08-14T21:49:38.5647647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5647708Z yl = self.stage3(xl) 2025-08-14T21:49:38.5647876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5647941Z x = module(x) 2025-08-14T21:49:38.5648112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5648169Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5648354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5648412Z x = self.act2(x) 2025-08-14T21:49:38.5648416Z 2025-08-14T21:49:38.5648520Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5648702Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5648768Z return mod(*inputs) 2025-08-14T21:49:38.5648944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5649009Z y = self.forward_features(x) 2025-08-14T21:49:38.5649206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5649273Z yl = self.stages(x) 2025-08-14T21:49:38.5649440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5649507Z yl = self.stage3(xl) 2025-08-14T21:49:38.5649692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5649749Z x = module(x) 2025-08-14T21:49:38.5649930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.5649988Z y = y + f(x[j]) 2025-08-14T21:49:38.5649991Z 2025-08-14T21:49:38.5650085Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5650273Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5650332Z return mod(*inputs) 2025-08-14T21:49:38.5650508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5650574Z y = self.forward_features(x) 2025-08-14T21:49:38.5650772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5650841Z yl = self.stages(x) 2025-08-14T21:49:38.5651010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5651074Z yl = self.stage3(xl) 2025-08-14T21:49:38.5651253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5651337Z x = module(x) 2025-08-14T21:49:38.5651515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.5651572Z y = y + f(x[j]) 2025-08-14T21:49:38.5651575Z 2025-08-14T21:49:38.5651672Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5651864Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5651924Z return mod(*inputs) 2025-08-14T21:49:38.5652094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5652169Z y = self.forward_features(x) 2025-08-14T21:49:38.5652367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5652447Z yl = self.stages(x) 2025-08-14T21:49:38.5652615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5652679Z yl = self.stage3(xl) 2025-08-14T21:49:38.5652855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5652910Z x = module(x) 2025-08-14T21:49:38.5653078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5653143Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5653315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5653379Z x = self.conv1(x) 2025-08-14T21:49:38.5653382Z 2025-08-14T21:49:38.5653477Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5653656Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5653725Z return mod(*inputs) 2025-08-14T21:49:38.5653894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5653961Z y = self.forward_features(x) 2025-08-14T21:49:38.5654163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5654220Z yl = self.stages(x) 2025-08-14T21:49:38.5654396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5654456Z yl = self.stage3(xl) 2025-08-14T21:49:38.5654624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5654687Z x = module(x) 2025-08-14T21:49:38.5654871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5654930Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5655114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5655173Z x = self.act1(x) 2025-08-14T21:49:38.5655178Z 2025-08-14T21:49:38.5655280Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5655462Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5655522Z return mod(*inputs) 2025-08-14T21:49:38.5655698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5655763Z y = self.forward_features(x) 2025-08-14T21:49:38.5655968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5656028Z yl = self.stages(x) 2025-08-14T21:49:38.5656198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5656268Z yl = self.stage3(xl) 2025-08-14T21:49:38.5656442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5656513Z x = module(x) 2025-08-14T21:49:38.5656707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5656767Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5656944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5657010Z x = self.conv2(x) 2025-08-14T21:49:38.5657013Z 2025-08-14T21:49:38.5657108Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5657298Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5657357Z return mod(*inputs) 2025-08-14T21:49:38.5657529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5657601Z y = self.forward_features(x) 2025-08-14T21:49:38.5657818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5657890Z yl = self.stages(x) 2025-08-14T21:49:38.5658061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5658122Z yl = self.stage3(xl) 2025-08-14T21:49:38.5658302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5658358Z x = module(x) 2025-08-14T21:49:38.5658531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5658597Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5658775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5658834Z x = self.act2(x) 2025-08-14T21:49:38.5658843Z 2025-08-14T21:49:38.5658937Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5659122Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5659191Z return mod(*inputs) 2025-08-14T21:49:38.5659364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5659429Z y = self.forward_features(x) 2025-08-14T21:49:38.5659636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5659695Z yl = self.stages(x) 2025-08-14T21:49:38.5659873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5659935Z yl = self.stage3(xl) 2025-08-14T21:49:38.5660122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5660187Z x = module(x) 2025-08-14T21:49:38.5660361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5660423Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5660609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5660672Z x = self.conv1(x) 2025-08-14T21:49:38.5660675Z 2025-08-14T21:49:38.5660780Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5660963Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5661026Z return mod(*inputs) 2025-08-14T21:49:38.5661205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5661275Z y = self.forward_features(x) 2025-08-14T21:49:38.5661475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5661548Z yl = self.stages(x) 2025-08-14T21:49:38.5661719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5661804Z yl = self.stage3(xl) 2025-08-14T21:49:38.5661986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5662041Z x = module(x) 2025-08-14T21:49:38.5662216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5662273Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5662446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5662512Z x = self.act1(x) 2025-08-14T21:49:38.5662515Z 2025-08-14T21:49:38.5662609Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5662798Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5662859Z return mod(*inputs) 2025-08-14T21:49:38.5663046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5663121Z y = self.forward_features(x) 2025-08-14T21:49:38.5663318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5663377Z yl = self.stages(x) 2025-08-14T21:49:38.5663553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5663614Z yl = self.stage3(xl) 2025-08-14T21:49:38.5663792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5663847Z x = module(x) 2025-08-14T21:49:38.5664044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5664119Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5664401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5664478Z x = self.conv2(x) 2025-08-14T21:49:38.5664482Z 2025-08-14T21:49:38.5664607Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5664833Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5664909Z return mod(*inputs) 2025-08-14T21:49:38.5665119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5665191Z y = self.forward_features(x) 2025-08-14T21:49:38.5665480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5665544Z yl = self.stages(x) 2025-08-14T21:49:38.5665725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5665825Z yl = self.stage3(xl) 2025-08-14T21:49:38.5666005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5666072Z x = module(x) 2025-08-14T21:49:38.5666250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5666313Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5666503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5666563Z x = self.act2(x) 2025-08-14T21:49:38.5666566Z 2025-08-14T21:49:38.5666665Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5666873Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5666933Z return mod(*inputs) 2025-08-14T21:49:38.5667115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5667183Z y = self.forward_features(x) 2025-08-14T21:49:38.5667442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5667518Z yl = self.stages(x) 2025-08-14T21:49:38.5667743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5667832Z yl = self.stage3(xl) 2025-08-14T21:49:38.5668032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5668099Z x = module(x) 2025-08-14T21:49:38.5668311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5668378Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5668587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5668661Z x = self.conv1(x) 2025-08-14T21:49:38.5668665Z 2025-08-14T21:49:38.5668776Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5669010Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5669088Z return mod(*inputs) 2025-08-14T21:49:38.5669296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5669378Z y = self.forward_features(x) 2025-08-14T21:49:38.5669619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5669688Z yl = self.stages(x) 2025-08-14T21:49:38.5669901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5669972Z yl = self.stage3(xl) 2025-08-14T21:49:38.5670177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5670249Z x = module(x) 2025-08-14T21:49:38.5670458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5670532Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5670743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5670812Z x = self.act1(x) 2025-08-14T21:49:38.5670816Z 2025-08-14T21:49:38.5670934Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5671152Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5671219Z return mod(*inputs) 2025-08-14T21:49:38.5671432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5671506Z y = self.forward_features(x) 2025-08-14T21:49:38.5671749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5671818Z yl = self.stages(x) 2025-08-14T21:49:38.5672045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5672124Z yl = self.stage3(xl) 2025-08-14T21:49:38.5672334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5672401Z x = module(x) 2025-08-14T21:49:38.5672616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5672682Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5672904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5672970Z x = self.conv2(x) 2025-08-14T21:49:38.5672973Z 2025-08-14T21:49:38.5673083Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5673306Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5673373Z return mod(*inputs) 2025-08-14T21:49:38.5673581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5673665Z y = self.forward_features(x) 2025-08-14T21:49:38.5673904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5674001Z yl = self.stages(x) 2025-08-14T21:49:38.5674176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5674238Z yl = self.stage3(xl) 2025-08-14T21:49:38.5674422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5674478Z x = module(x) 2025-08-14T21:49:38.5674656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5674723Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5674905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5674973Z x = self.act2(x) 2025-08-14T21:49:38.5674976Z 2025-08-14T21:49:38.5675088Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5675274Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5675345Z return mod(*inputs) 2025-08-14T21:49:38.5675522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5675587Z y = self.forward_features(x) 2025-08-14T21:49:38.5675797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5675857Z yl = self.stages(x) 2025-08-14T21:49:38.5676036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5676097Z yl = self.stage3(xl) 2025-08-14T21:49:38.5676271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5676335Z x = module(x) 2025-08-14T21:49:38.5676512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5676572Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5676759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5676818Z x = self.conv1(x) 2025-08-14T21:49:38.5676821Z 2025-08-14T21:49:38.5676924Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5677112Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5677172Z return mod(*inputs) 2025-08-14T21:49:38.5677352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5677417Z y = self.forward_features(x) 2025-08-14T21:49:38.5677632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5677703Z yl = self.stages(x) 2025-08-14T21:49:38.5677877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5677948Z yl = self.stage3(xl) 2025-08-14T21:49:38.5678123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5678180Z x = module(x) 2025-08-14T21:49:38.5678568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5678638Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5678818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5678886Z x = self.act1(x) 2025-08-14T21:49:38.5678889Z 2025-08-14T21:49:38.5678987Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5679184Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5679246Z return mod(*inputs) 2025-08-14T21:49:38.5679421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5679531Z y = self.forward_features(x) 2025-08-14T21:49:38.5679757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5679818Z yl = self.stages(x) 2025-08-14T21:49:38.5679997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5680058Z yl = self.stage3(xl) 2025-08-14T21:49:38.5680237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5680295Z x = module(x) 2025-08-14T21:49:38.5680467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5680537Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5680791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5680854Z x = self.conv2(x) 2025-08-14T21:49:38.5680859Z 2025-08-14T21:49:38.5680966Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5681157Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5681226Z return mod(*inputs) 2025-08-14T21:49:38.5681402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5681469Z y = self.forward_features(x) 2025-08-14T21:49:38.5681675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5681737Z yl = self.stages(x) 2025-08-14T21:49:38.5681911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5681984Z yl = self.stage3(xl) 2025-08-14T21:49:38.5682161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5682225Z x = module(x) 2025-08-14T21:49:38.5682405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.5682463Z y = f(x[j]) 2025-08-14T21:49:38.5682467Z 2025-08-14T21:49:38.5682571Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5682758Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5682821Z return mod(*inputs) 2025-08-14T21:49:38.5683007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5683073Z y = self.forward_features(x) 2025-08-14T21:49:38.5683304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5683367Z yl = self.stages(x) 2025-08-14T21:49:38.5683541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5683612Z yl = self.stage3(xl) 2025-08-14T21:49:38.5683791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5683848Z x = module(x) 2025-08-14T21:49:38.5684036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.5684093Z y = f(x[j]) 2025-08-14T21:49:38.5684096Z 2025-08-14T21:49:38.5684201Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5684387Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5684449Z return mod(*inputs) 2025-08-14T21:49:38.5684637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5684704Z y = self.forward_features(x) 2025-08-14T21:49:38.5684908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5684993Z yl = self.stages(x) 2025-08-14T21:49:38.5685177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5685245Z yl = self.stage3(xl) 2025-08-14T21:49:38.5685420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5685476Z x = module(x) 2025-08-14T21:49:38.5685656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.5685712Z y = f(x[j]) 2025-08-14T21:49:38.5685716Z 2025-08-14T21:49:38.5685811Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5686004Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5686065Z return mod(*inputs) 2025-08-14T21:49:38.5686258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5686326Z y = self.forward_features(x) 2025-08-14T21:49:38.5686531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5686600Z yl = self.stages(x) 2025-08-14T21:49:38.5686786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5686847Z yl = self.stage3(xl) 2025-08-14T21:49:38.5687026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5687082Z x = module(x) 2025-08-14T21:49:38.5687261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.5687317Z y = y + f(x[j]) 2025-08-14T21:49:38.5687322Z 2025-08-14T21:49:38.5687415Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5687606Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5687669Z return mod(*inputs) 2025-08-14T21:49:38.5687841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5687915Z y = self.forward_features(x) 2025-08-14T21:49:38.5688113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5688179Z yl = self.stages(x) 2025-08-14T21:49:38.5688347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5688407Z yl = self.stage3(xl) 2025-08-14T21:49:38.5688584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5688652Z x = module(x) 2025-08-14T21:49:38.5688820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.5688884Z y = y + f(x[j]) 2025-08-14T21:49:38.5688887Z 2025-08-14T21:49:38.5688982Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5689170Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5689231Z return mod(*inputs) 2025-08-14T21:49:38.5689401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5689474Z y = self.forward_features(x) 2025-08-14T21:49:38.5689669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5689728Z yl = self.stages(x) 2025-08-14T21:49:38.5689900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5689961Z yl = self.stage3(xl) 2025-08-14T21:49:38.5690137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5690192Z x = module(x) 2025-08-14T21:49:38.5690359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.5690459Z y = y + f(x[j]) 2025-08-14T21:49:38.5690462Z 2025-08-14T21:49:38.5690559Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5690741Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5690806Z return mod(*inputs) 2025-08-14T21:49:38.5690980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5691052Z y = self.forward_features(x) 2025-08-14T21:49:38.5691252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5691312Z yl = self.stages(x) 2025-08-14T21:49:38.5691504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5691566Z yl = self.stage3(xl) 2025-08-14T21:49:38.5691734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5691800Z x = module(x) 2025-08-14T21:49:38.5691968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:49:38.5692048Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:49:38.5692051Z 2025-08-14T21:49:38.5692145Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5692324Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5692391Z return mod(*inputs) 2025-08-14T21:49:38.5692562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5692629Z y = self.forward_features(x) 2025-08-14T21:49:38.5692834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5692894Z yl = self.stages(x) 2025-08-14T21:49:38.5693076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5693140Z yl = self.stage3(xl) 2025-08-14T21:49:38.5693314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5693379Z x = module(x) 2025-08-14T21:49:38.5693563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5693622Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5693807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5693865Z x = self.conv1(x) 2025-08-14T21:49:38.5693883Z 2025-08-14T21:49:38.5693985Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5694167Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5694228Z return mod(*inputs) 2025-08-14T21:49:38.5694406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5694473Z y = self.forward_features(x) 2025-08-14T21:49:38.5694667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5694735Z yl = self.stages(x) 2025-08-14T21:49:38.5694901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5694971Z yl = self.stage3(xl) 2025-08-14T21:49:38.5695140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5695199Z x = module(x) 2025-08-14T21:49:38.5695374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5695433Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5695605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5695702Z x = self.act1(x) 2025-08-14T21:49:38.5695706Z 2025-08-14T21:49:38.5695802Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5695995Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5696056Z return mod(*inputs) 2025-08-14T21:49:38.5696224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5696296Z y = self.forward_features(x) 2025-08-14T21:49:38.5696492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5696559Z yl = self.stages(x) 2025-08-14T21:49:38.5696730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5696802Z yl = self.stage3(xl) 2025-08-14T21:49:38.5696979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5697036Z x = module(x) 2025-08-14T21:49:38.5697205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5697272Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5697444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5697502Z x = self.conv2(x) 2025-08-14T21:49:38.5697512Z 2025-08-14T21:49:38.5697607Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5697785Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5697856Z return mod(*inputs) 2025-08-14T21:49:38.5698027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5698095Z y = self.forward_features(x) 2025-08-14T21:49:38.5698297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5698360Z yl = self.stages(x) 2025-08-14T21:49:38.5698535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5698596Z yl = self.stage3(xl) 2025-08-14T21:49:38.5698766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5698828Z x = module(x) 2025-08-14T21:49:38.5698997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5699055Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5699249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5699307Z x = self.act2(x) 2025-08-14T21:49:38.5699310Z 2025-08-14T21:49:38.5699414Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5699595Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5699656Z return mod(*inputs) 2025-08-14T21:49:38.5699835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5699901Z y = self.forward_features(x) 2025-08-14T21:49:38.5700097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5700168Z yl = self.stages(x) 2025-08-14T21:49:38.5700336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5700402Z yl = self.stage3(xl) 2025-08-14T21:49:38.5700573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5700629Z x = module(x) 2025-08-14T21:49:38.5700806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5700887Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5701074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5701140Z x = self.conv1(x) 2025-08-14T21:49:38.5701143Z 2025-08-14T21:49:38.5701239Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5701427Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5701485Z return mod(*inputs) 2025-08-14T21:49:38.5701652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5701725Z y = self.forward_features(x) 2025-08-14T21:49:38.5701919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5701979Z yl = self.stages(x) 2025-08-14T21:49:38.5702168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5702230Z yl = self.stage3(xl) 2025-08-14T21:49:38.5702407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5702463Z x = module(x) 2025-08-14T21:49:38.5702634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5702699Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5702874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5702933Z x = self.act1(x) 2025-08-14T21:49:38.5702936Z 2025-08-14T21:49:38.5703038Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5703223Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5703290Z return mod(*inputs) 2025-08-14T21:49:38.5703461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5703530Z y = self.forward_features(x) 2025-08-14T21:49:38.5703731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5703790Z yl = self.stages(x) 2025-08-14T21:49:38.5703959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5704029Z yl = self.stage3(xl) 2025-08-14T21:49:38.5704266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5704345Z x = module(x) 2025-08-14T21:49:38.5704550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5704615Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5704817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5704882Z x = self.conv2(x) 2025-08-14T21:49:38.5704887Z 2025-08-14T21:49:38.5704994Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5705199Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5705264Z return mod(*inputs) 2025-08-14T21:49:38.5705457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5705530Z y = self.forward_features(x) 2025-08-14T21:49:38.5705747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5705818Z yl = self.stages(x) 2025-08-14T21:49:38.5705989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5706051Z yl = self.stage3(xl) 2025-08-14T21:49:38.5706235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5706312Z x = module(x) 2025-08-14T21:49:38.5706518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5706582Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5706768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5706839Z x = self.act2(x) 2025-08-14T21:49:38.5706842Z 2025-08-14T21:49:38.5706944Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5707140Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5707216Z return mod(*inputs) 2025-08-14T21:49:38.5707402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5707477Z y = self.forward_features(x) 2025-08-14T21:49:38.5707704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5707772Z yl = self.stages(x) 2025-08-14T21:49:38.5707963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5708028Z yl = self.stage3(xl) 2025-08-14T21:49:38.5708209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5708275Z x = module(x) 2025-08-14T21:49:38.5708460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5708529Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5708716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5708784Z x = self.conv1(x) 2025-08-14T21:49:38.5708787Z 2025-08-14T21:49:38.5708897Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5709093Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5709158Z return mod(*inputs) 2025-08-14T21:49:38.5709355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5709426Z y = self.forward_features(x) 2025-08-14T21:49:38.5709642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5709706Z yl = self.stages(x) 2025-08-14T21:49:38.5709891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5709965Z yl = self.stage3(xl) 2025-08-14T21:49:38.5710146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5710221Z x = module(x) 2025-08-14T21:49:38.5710414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5710478Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5710675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5710738Z x = self.act1(x) 2025-08-14T21:49:38.5710741Z 2025-08-14T21:49:38.5710842Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5711048Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5711114Z return mod(*inputs) 2025-08-14T21:49:38.5711298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5711377Z y = self.forward_features(x) 2025-08-14T21:49:38.5711592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5711663Z yl = self.stages(x) 2025-08-14T21:49:38.5711848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5711913Z yl = self.stage3(xl) 2025-08-14T21:49:38.5712121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5712198Z x = module(x) 2025-08-14T21:49:38.5712381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5712452Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5712641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5712711Z x = self.conv2(x) 2025-08-14T21:49:38.5712714Z 2025-08-14T21:49:38.5712815Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5713009Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5713080Z return mod(*inputs) 2025-08-14T21:49:38.5713278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5713349Z y = self.forward_features(x) 2025-08-14T21:49:38.5713572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5713636Z yl = self.stages(x) 2025-08-14T21:49:38.5713826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5713891Z yl = self.stage3(xl) 2025-08-14T21:49:38.5714074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5714142Z x = module(x) 2025-08-14T21:49:38.5714325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5714386Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5714582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5714644Z x = self.act2(x) 2025-08-14T21:49:38.5714649Z 2025-08-14T21:49:38.5714757Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5714952Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5715015Z return mod(*inputs) 2025-08-14T21:49:38.5715191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5715257Z y = self.forward_features(x) 2025-08-14T21:49:38.5715454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5715521Z yl = self.stages(x) 2025-08-14T21:49:38.5715689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5715757Z yl = self.stage3(xl) 2025-08-14T21:49:38.5715943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5716002Z x = module(x) 2025-08-14T21:49:38.5716178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5716239Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5716415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5716483Z x = self.conv1(x) 2025-08-14T21:49:38.5716486Z 2025-08-14T21:49:38.5716580Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5716768Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5716828Z return mod(*inputs) 2025-08-14T21:49:38.5716997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5717072Z y = self.forward_features(x) 2025-08-14T21:49:38.5717270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5717331Z yl = self.stages(x) 2025-08-14T21:49:38.5717507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5717596Z yl = self.stage3(xl) 2025-08-14T21:49:38.5717774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5717831Z x = module(x) 2025-08-14T21:49:38.5718001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5718067Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5718240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5718298Z x = self.act1(x) 2025-08-14T21:49:38.5718301Z 2025-08-14T21:49:38.5718405Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5718589Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5718673Z return mod(*inputs) 2025-08-14T21:49:38.5718842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5718909Z y = self.forward_features(x) 2025-08-14T21:49:38.5719110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5719169Z yl = self.stages(x) 2025-08-14T21:49:38.5719337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5719406Z yl = self.stage3(xl) 2025-08-14T21:49:38.5719575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5719636Z x = module(x) 2025-08-14T21:49:38.5719806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5719864Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5720046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5720107Z x = self.conv2(x) 2025-08-14T21:49:38.5720112Z 2025-08-14T21:49:38.5720208Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5720396Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5720457Z return mod(*inputs) 2025-08-14T21:49:38.5720632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5720696Z y = self.forward_features(x) 2025-08-14T21:49:38.5720891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5720958Z yl = self.stages(x) 2025-08-14T21:49:38.5721149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5721212Z yl = self.stage3(xl) 2025-08-14T21:49:38.5721393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5721451Z x = module(x) 2025-08-14T21:49:38.5721629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5721686Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5721863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5721928Z x = self.act2(x) 2025-08-14T21:49:38.5721931Z 2025-08-14T21:49:38.5722024Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5722205Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5722273Z return mod(*inputs) 2025-08-14T21:49:38.5722445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5722517Z y = self.forward_features(x) 2025-08-14T21:49:38.5722715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5722803Z yl = self.stages(x) 2025-08-14T21:49:38.5722981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5723042Z yl = self.stage3(xl) 2025-08-14T21:49:38.5723210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5723273Z x = module(x) 2025-08-14T21:49:38.5723441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.5723502Z y = f(x[j]) 2025-08-14T21:49:38.5723505Z 2025-08-14T21:49:38.5723599Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5723779Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5723846Z return mod(*inputs) 2025-08-14T21:49:38.5724030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5724097Z y = self.forward_features(x) 2025-08-14T21:49:38.5724301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5724369Z yl = self.stages(x) 2025-08-14T21:49:38.5724546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5724606Z yl = self.stage3(xl) 2025-08-14T21:49:38.5724777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5724838Z x = module(x) 2025-08-14T21:49:38.5725011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.5725067Z y = y + f(x[j]) 2025-08-14T21:49:38.5725069Z 2025-08-14T21:49:38.5725174Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5725357Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5725426Z return mod(*inputs) 2025-08-14T21:49:38.5725598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5725663Z y = self.forward_features(x) 2025-08-14T21:49:38.5725867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5725926Z yl = self.stages(x) 2025-08-14T21:49:38.5726090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5726159Z yl = self.stage3(xl) 2025-08-14T21:49:38.5726341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5726405Z x = module(x) 2025-08-14T21:49:38.5726577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.5726634Z y = y + f(x[j]) 2025-08-14T21:49:38.5726638Z 2025-08-14T21:49:38.5726742Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5726923Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5726983Z return mod(*inputs) 2025-08-14T21:49:38.5727162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5727226Z y = self.forward_features(x) 2025-08-14T21:49:38.5727427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5727488Z yl = self.stages(x) 2025-08-14T21:49:38.5727658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5727726Z yl = self.stage3(xl) 2025-08-14T21:49:38.5727896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5727970Z x = module(x) 2025-08-14T21:49:38.5728160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:49:38.5728231Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:49:38.5728234Z 2025-08-14T21:49:38.5728336Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5728515Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5728575Z return mod(*inputs) 2025-08-14T21:49:38.5728755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5728820Z y = self.forward_features(x) 2025-08-14T21:49:38.5729021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5729087Z yl = self.stages(x) 2025-08-14T21:49:38.5729274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5729346Z yl = self.stage3(xl) 2025-08-14T21:49:38.5729525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5729582Z x = module(x) 2025-08-14T21:49:38.5729775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5729833Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5730008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5730075Z x = self.conv1(x) 2025-08-14T21:49:38.5730078Z 2025-08-14T21:49:38.5730173Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5730365Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5730426Z return mod(*inputs) 2025-08-14T21:49:38.5730605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5730681Z y = self.forward_features(x) 2025-08-14T21:49:38.5730896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5730955Z yl = self.stages(x) 2025-08-14T21:49:38.5731131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5731191Z yl = self.stage3(xl) 2025-08-14T21:49:38.5731369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5731426Z x = module(x) 2025-08-14T21:49:38.5731603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5731683Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5731866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5731925Z x = self.act1(x) 2025-08-14T21:49:38.5731938Z 2025-08-14T21:49:38.5732037Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5732223Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5732292Z return mod(*inputs) 2025-08-14T21:49:38.5732468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5732533Z y = self.forward_features(x) 2025-08-14T21:49:38.5732743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5732805Z yl = self.stages(x) 2025-08-14T21:49:38.5732982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5733052Z yl = self.stage3(xl) 2025-08-14T21:49:38.5733228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5733292Z x = module(x) 2025-08-14T21:49:38.5733513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5733589Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5733775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5733836Z x = self.conv2(x) 2025-08-14T21:49:38.5733839Z 2025-08-14T21:49:38.5733936Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5734128Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5734189Z return mod(*inputs) 2025-08-14T21:49:38.5734375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5734442Z y = self.forward_features(x) 2025-08-14T21:49:38.5734659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5734728Z yl = self.stages(x) 2025-08-14T21:49:38.5734906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5734968Z yl = self.stage3(xl) 2025-08-14T21:49:38.5735150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5735206Z x = module(x) 2025-08-14T21:49:38.5735385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5735445Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5735623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5735688Z x = self.act2(x) 2025-08-14T21:49:38.5735693Z 2025-08-14T21:49:38.5735790Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5735977Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5736047Z return mod(*inputs) 2025-08-14T21:49:38.5736228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5736300Z y = self.forward_features(x) 2025-08-14T21:49:38.5736503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5736563Z yl = self.stages(x) 2025-08-14T21:49:38.5736745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5736807Z yl = self.stage3(xl) 2025-08-14T21:49:38.5736981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5737058Z x = module(x) 2025-08-14T21:49:38.5737230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5737298Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5737476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5737538Z x = self.conv1(x) 2025-08-14T21:49:38.5737541Z 2025-08-14T21:49:38.5737645Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5737828Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5737895Z return mod(*inputs) 2025-08-14T21:49:38.5738067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5738133Z y = self.forward_features(x) 2025-08-14T21:49:38.5738340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5738402Z yl = self.stages(x) 2025-08-14T21:49:38.5738573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5738644Z yl = self.stage3(xl) 2025-08-14T21:49:38.5738816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5738902Z x = module(x) 2025-08-14T21:49:38.5739085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5739147Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5739333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5739394Z x = self.act1(x) 2025-08-14T21:49:38.5739397Z 2025-08-14T21:49:38.5739494Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5739688Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5739752Z return mod(*inputs) 2025-08-14T21:49:38.5739933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5740023Z y = self.forward_features(x) 2025-08-14T21:49:38.5740226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5740298Z yl = self.stages(x) 2025-08-14T21:49:38.5740468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5740533Z yl = self.stage3(xl) 2025-08-14T21:49:38.5740714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5740771Z x = module(x) 2025-08-14T21:49:38.5740944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5741010Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5741189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5741256Z x = self.conv2(x) 2025-08-14T21:49:38.5741259Z 2025-08-14T21:49:38.5741357Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5741543Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5741614Z return mod(*inputs) 2025-08-14T21:49:38.5741787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5741865Z y = self.forward_features(x) 2025-08-14T21:49:38.5742065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5742125Z yl = self.stages(x) 2025-08-14T21:49:38.5742303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5742365Z yl = self.stage3(xl) 2025-08-14T21:49:38.5742552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5742616Z x = module(x) 2025-08-14T21:49:38.5742792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5742862Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5743042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5743101Z x = self.act2(x) 2025-08-14T21:49:38.5743104Z 2025-08-14T21:49:38.5743206Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5743393Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5743455Z return mod(*inputs) 2025-08-14T21:49:38.5743636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5743703Z y = self.forward_features(x) 2025-08-14T21:49:38.5743914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5743981Z yl = self.stages(x) 2025-08-14T21:49:38.5744162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5744337Z yl = self.stage3(xl) 2025-08-14T21:49:38.5744531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5744591Z x = module(x) 2025-08-14T21:49:38.5744784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5744848Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5745046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5745122Z x = self.conv1(x) 2025-08-14T21:49:38.5745125Z 2025-08-14T21:49:38.5745221Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5745421Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5745500Z return mod(*inputs) 2025-08-14T21:49:38.5745676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5745753Z y = self.forward_features(x) 2025-08-14T21:49:38.5745956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5746026Z yl = self.stages(x) 2025-08-14T21:49:38.5746200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5746263Z yl = self.stage3(xl) 2025-08-14T21:49:38.5746446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5746502Z x = module(x) 2025-08-14T21:49:38.5746679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5746747Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5746926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5746992Z x = self.act1(x) 2025-08-14T21:49:38.5746997Z 2025-08-14T21:49:38.5747094Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5747279Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5747347Z return mod(*inputs) 2025-08-14T21:49:38.5747522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5747585Z y = self.forward_features(x) 2025-08-14T21:49:38.5747794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5747855Z yl = self.stages(x) 2025-08-14T21:49:38.5767820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5768002Z yl = self.stage3(xl) 2025-08-14T21:49:38.5768249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5768324Z x = module(x) 2025-08-14T21:49:38.5768517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5768583Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5768776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5768839Z x = self.conv2(x) 2025-08-14T21:49:38.5768847Z 2025-08-14T21:49:38.5768965Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5769162Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5769227Z return mod(*inputs) 2025-08-14T21:49:38.5769416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5769489Z y = self.forward_features(x) 2025-08-14T21:49:38.5769696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5769797Z yl = self.stages(x) 2025-08-14T21:49:38.5769995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5770063Z yl = self.stage3(xl) 2025-08-14T21:49:38.5770238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5770296Z x = module(x) 2025-08-14T21:49:38.5770476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5770535Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5770714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5770784Z x = self.act2(x) 2025-08-14T21:49:38.5770787Z 2025-08-14T21:49:38.5770892Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5771117Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5771183Z return mod(*inputs) 2025-08-14T21:49:38.5771362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5771438Z y = self.forward_features(x) 2025-08-14T21:49:38.5771642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5771703Z yl = self.stages(x) 2025-08-14T21:49:38.5771883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5771947Z yl = self.stage3(xl) 2025-08-14T21:49:38.5772126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5772185Z x = module(x) 2025-08-14T21:49:38.5772356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5772425Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5772606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5772668Z x = self.conv1(x) 2025-08-14T21:49:38.5772680Z 2025-08-14T21:49:38.5772782Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5772969Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5773038Z return mod(*inputs) 2025-08-14T21:49:38.5773209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5773276Z y = self.forward_features(x) 2025-08-14T21:49:38.5773503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5773566Z yl = self.stages(x) 2025-08-14T21:49:38.5773739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5773804Z yl = self.stage3(xl) 2025-08-14T21:49:38.5773974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5774035Z x = module(x) 2025-08-14T21:49:38.5774200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5774260Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5774437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5774492Z x = self.act1(x) 2025-08-14T21:49:38.5774495Z 2025-08-14T21:49:38.5774593Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5774778Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5774835Z return mod(*inputs) 2025-08-14T21:49:38.5775013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5775080Z y = self.forward_features(x) 2025-08-14T21:49:38.5775292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5775376Z yl = self.stages(x) 2025-08-14T21:49:38.5775550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5775612Z yl = self.stage3(xl) 2025-08-14T21:49:38.5775791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5775847Z x = module(x) 2025-08-14T21:49:38.5776027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5776087Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5776266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5776333Z x = self.conv2(x) 2025-08-14T21:49:38.5776350Z 2025-08-14T21:49:38.5776446Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5776636Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5776697Z return mod(*inputs) 2025-08-14T21:49:38.5776866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5776939Z y = self.forward_features(x) 2025-08-14T21:49:38.5777134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5777196Z yl = self.stages(x) 2025-08-14T21:49:38.5777372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5777435Z yl = self.stage3(xl) 2025-08-14T21:49:38.5777606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5777668Z x = module(x) 2025-08-14T21:49:38.5777834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5777905Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5778078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5778136Z x = self.act2(x) 2025-08-14T21:49:38.5778139Z 2025-08-14T21:49:38.5778240Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5778603Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5778676Z return mod(*inputs) 2025-08-14T21:49:38.5778851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5778962Z y = self.forward_features(x) 2025-08-14T21:49:38.5779167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5779229Z yl = self.stages(x) 2025-08-14T21:49:38.5779396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5779471Z yl = self.stage3(xl) 2025-08-14T21:49:38.5779640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5779695Z x = module(x) 2025-08-14T21:49:38.5779871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.5779927Z y = y + f(x[j]) 2025-08-14T21:49:38.5779931Z 2025-08-14T21:49:38.5780035Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5780217Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5780281Z return mod(*inputs) 2025-08-14T21:49:38.5780460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5780528Z y = self.forward_features(x) 2025-08-14T21:49:38.5780734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5780851Z yl = self.stages(x) 2025-08-14T21:49:38.5781021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5781090Z yl = self.stage3(xl) 2025-08-14T21:49:38.5781264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5781320Z x = module(x) 2025-08-14T21:49:38.5781500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.5781556Z y = y + f(x[j]) 2025-08-14T21:49:38.5781559Z 2025-08-14T21:49:38.5781661Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5781866Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5781923Z return mod(*inputs) 2025-08-14T21:49:38.5782101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5782166Z y = self.forward_features(x) 2025-08-14T21:49:38.5782363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5782429Z yl = self.stages(x) 2025-08-14T21:49:38.5782606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5782677Z yl = self.stage3(xl) 2025-08-14T21:49:38.5782856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5782914Z x = module(x) 2025-08-14T21:49:38.5783103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5783166Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5783348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5783419Z x = self.conv1(x) 2025-08-14T21:49:38.5783424Z 2025-08-14T21:49:38.5783522Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5783716Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5783778Z return mod(*inputs) 2025-08-14T21:49:38.5783959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5784035Z y = self.forward_features(x) 2025-08-14T21:49:38.5784300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5784370Z yl = self.stages(x) 2025-08-14T21:49:38.5784569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5784632Z yl = self.stage3(xl) 2025-08-14T21:49:38.5784819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5784881Z x = module(x) 2025-08-14T21:49:38.5785109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5785177Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5785363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5785424Z x = self.act1(x) 2025-08-14T21:49:38.5785427Z 2025-08-14T21:49:38.5785536Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5785728Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5785801Z return mod(*inputs) 2025-08-14T21:49:38.5785988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5786059Z y = self.forward_features(x) 2025-08-14T21:49:38.5786277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5786368Z yl = self.stages(x) 2025-08-14T21:49:38.5786548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5786618Z yl = self.stage3(xl) 2025-08-14T21:49:38.5786800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5786865Z x = module(x) 2025-08-14T21:49:38.5787056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5787116Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5787306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5787366Z x = self.conv2(x) 2025-08-14T21:49:38.5787369Z 2025-08-14T21:49:38.5787481Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5787681Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5787747Z return mod(*inputs) 2025-08-14T21:49:38.5787933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5788002Z y = self.forward_features(x) 2025-08-14T21:49:38.5788208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5788278Z yl = self.stages(x) 2025-08-14T21:49:38.5788455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5788520Z yl = self.stage3(xl) 2025-08-14T21:49:38.5788719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5788777Z x = module(x) 2025-08-14T21:49:38.5788960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5789021Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5789202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5789268Z x = self.act2(x) 2025-08-14T21:49:38.5789272Z 2025-08-14T21:49:38.5789368Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5789558Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5789627Z return mod(*inputs) 2025-08-14T21:49:38.5789803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5789878Z y = self.forward_features(x) 2025-08-14T21:49:38.5790095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5790159Z yl = self.stages(x) 2025-08-14T21:49:38.5790342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5790407Z yl = self.stage3(xl) 2025-08-14T21:49:38.5790584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5790649Z x = module(x) 2025-08-14T21:49:38.5790824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5790892Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5791072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5791132Z x = self.conv1(x) 2025-08-14T21:49:38.5791135Z 2025-08-14T21:49:38.5791238Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5791424Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5791486Z return mod(*inputs) 2025-08-14T21:49:38.5791670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5791753Z y = self.forward_features(x) 2025-08-14T21:49:38.5791973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5792035Z yl = self.stages(x) 2025-08-14T21:49:38.5792209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5792281Z yl = self.stage3(xl) 2025-08-14T21:49:38.5792455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5792513Z x = module(x) 2025-08-14T21:49:38.5792697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5792758Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5792945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5793019Z x = self.act1(x) 2025-08-14T21:49:38.5793023Z 2025-08-14T21:49:38.5793121Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5793317Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5793379Z return mod(*inputs) 2025-08-14T21:49:38.5793558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5793634Z y = self.forward_features(x) 2025-08-14T21:49:38.5793834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5793906Z yl = self.stages(x) 2025-08-14T21:49:38.5794080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5794145Z yl = self.stage3(xl) 2025-08-14T21:49:38.5794333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5794392Z x = module(x) 2025-08-14T21:49:38.5794569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5794641Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5794822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5794890Z x = self.conv2(x) 2025-08-14T21:49:38.5794894Z 2025-08-14T21:49:38.5794990Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5795175Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5795247Z return mod(*inputs) 2025-08-14T21:49:38.5795439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5795507Z y = self.forward_features(x) 2025-08-14T21:49:38.5795723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5795786Z yl = self.stages(x) 2025-08-14T21:49:38.5795967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5796031Z yl = self.stage3(xl) 2025-08-14T21:49:38.5796206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5796271Z x = module(x) 2025-08-14T21:49:38.5796445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5796505Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5796694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5796752Z x = self.act2(x) 2025-08-14T21:49:38.5796756Z 2025-08-14T21:49:38.5796860Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5797045Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5797105Z return mod(*inputs) 2025-08-14T21:49:38.5797301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5797385Z y = self.forward_features(x) 2025-08-14T21:49:38.5797587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5797659Z yl = self.stages(x) 2025-08-14T21:49:38.5797831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5797903Z yl = self.stage3(xl) 2025-08-14T21:49:38.5798078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5798134Z x = module(x) 2025-08-14T21:49:38.5798315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5798391Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5798569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5798640Z x = self.conv1(x) 2025-08-14T21:49:38.5798643Z 2025-08-14T21:49:38.5798738Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5798930Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5798995Z return mod(*inputs) 2025-08-14T21:49:38.5799167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5799242Z y = self.forward_features(x) 2025-08-14T21:49:38.5799442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5799503Z yl = self.stages(x) 2025-08-14T21:49:38.5799684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5799751Z yl = self.stage3(xl) 2025-08-14T21:49:38.5799929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5799989Z x = module(x) 2025-08-14T21:49:38.5800169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5800228Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5800406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5800473Z x = self.act1(x) 2025-08-14T21:49:38.5800476Z 2025-08-14T21:49:38.5800570Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5800760Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5800836Z return mod(*inputs) 2025-08-14T21:49:38.5801022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5801096Z y = self.forward_features(x) 2025-08-14T21:49:38.5801293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5801356Z yl = self.stages(x) 2025-08-14T21:49:38.5801532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5801594Z yl = self.stage3(xl) 2025-08-14T21:49:38.5801770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5801824Z x = module(x) 2025-08-14T21:49:38.5801993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5802058Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5802234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5802291Z x = self.conv2(x) 2025-08-14T21:49:38.5802294Z 2025-08-14T21:49:38.5802395Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5802601Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5802685Z return mod(*inputs) 2025-08-14T21:49:38.5802854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5802920Z y = self.forward_features(x) 2025-08-14T21:49:38.5803123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5803183Z yl = self.stages(x) 2025-08-14T21:49:38.5803349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5803416Z yl = self.stage3(xl) 2025-08-14T21:49:38.5803587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5803647Z x = module(x) 2025-08-14T21:49:38.5803832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5803893Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5804077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5804132Z x = self.act2(x) 2025-08-14T21:49:38.5804135Z 2025-08-14T21:49:38.5804229Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5804410Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5804470Z return mod(*inputs) 2025-08-14T21:49:38.5804649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5804711Z y = self.forward_features(x) 2025-08-14T21:49:38.5804911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5804978Z yl = self.stages(x) 2025-08-14T21:49:38.5805149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5805211Z yl = self.stage3(xl) 2025-08-14T21:49:38.5805389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5805444Z x = module(x) 2025-08-14T21:49:38.5805622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5805679Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5805856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5805921Z x = self.conv1(x) 2025-08-14T21:49:38.5805925Z 2025-08-14T21:49:38.5806019Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5806212Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5806281Z return mod(*inputs) 2025-08-14T21:49:38.5806451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5806526Z y = self.forward_features(x) 2025-08-14T21:49:38.5806726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5806785Z yl = self.stages(x) 2025-08-14T21:49:38.5806961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5807022Z yl = self.stage3(xl) 2025-08-14T21:49:38.5807191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5807255Z x = module(x) 2025-08-14T21:49:38.5807429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5807496Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5807673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5807731Z x = self.act1(x) 2025-08-14T21:49:38.5807747Z 2025-08-14T21:49:38.5807856Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5808033Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5808093Z return mod(*inputs) 2025-08-14T21:49:38.5808272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5808339Z y = self.forward_features(x) 2025-08-14T21:49:38.5808542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5808602Z yl = self.stages(x) 2025-08-14T21:49:38.5808771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5808842Z yl = self.stage3(xl) 2025-08-14T21:49:38.5809029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5809086Z x = module(x) 2025-08-14T21:49:38.5809265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5809327Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5809508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5809567Z x = self.conv2(x) 2025-08-14T21:49:38.5809570Z 2025-08-14T21:49:38.5809665Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5809851Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5809911Z return mod(*inputs) 2025-08-14T21:49:38.5810082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5810154Z y = self.forward_features(x) 2025-08-14T21:49:38.5810350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5810416Z yl = self.stages(x) 2025-08-14T21:49:38.5810586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5810647Z yl = self.stage3(xl) 2025-08-14T21:49:38.5810825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5810879Z x = module(x) 2025-08-14T21:49:38.5811048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.5811108Z y = f(x[j]) 2025-08-14T21:49:38.5811112Z 2025-08-14T21:49:38.5811202Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5811398Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5811458Z return mod(*inputs) 2025-08-14T21:49:38.5811628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5811702Z y = self.forward_features(x) 2025-08-14T21:49:38.5811899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5811959Z yl = self.stages(x) 2025-08-14T21:49:38.5812133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5812194Z yl = self.stage3(xl) 2025-08-14T21:49:38.5812369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5812425Z x = module(x) 2025-08-14T21:49:38.5812594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.5812659Z y = f(x[j]) 2025-08-14T21:49:38.5812663Z 2025-08-14T21:49:38.5812755Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5812938Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5813021Z return mod(*inputs) 2025-08-14T21:49:38.5813207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5813279Z y = self.forward_features(x) 2025-08-14T21:49:38.5813475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5813533Z yl = self.stages(x) 2025-08-14T21:49:38.5813709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5813769Z yl = self.stage3(xl) 2025-08-14T21:49:38.5813940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5814005Z x = module(x) 2025-08-14T21:49:38.5814174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.5814249Z y = f(x[j]) 2025-08-14T21:49:38.5814253Z 2025-08-14T21:49:38.5814348Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5814527Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5814593Z return mod(*inputs) 2025-08-14T21:49:38.5814760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5814822Z y = self.forward_features(x) 2025-08-14T21:49:38.5815023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5815078Z yl = self.stages(x) 2025-08-14T21:49:38.5815249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5815313Z yl = self.stage3(xl) 2025-08-14T21:49:38.5815480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5815542Z x = module(x) 2025-08-14T21:49:38.5815711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.5815767Z y = y + f(x[j]) 2025-08-14T21:49:38.5815771Z 2025-08-14T21:49:38.5815873Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5816051Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5816115Z return mod(*inputs) 2025-08-14T21:49:38.5816283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5816347Z y = self.forward_features(x) 2025-08-14T21:49:38.5816561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5816621Z yl = self.stages(x) 2025-08-14T21:49:38.5816790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5816858Z yl = self.stage3(xl) 2025-08-14T21:49:38.5817030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5817092Z x = module(x) 2025-08-14T21:49:38.5817261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.5817315Z y = y + f(x[j]) 2025-08-14T21:49:38.5817319Z 2025-08-14T21:49:38.5817419Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5817603Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5817662Z return mod(*inputs) 2025-08-14T21:49:38.5817842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5817907Z y = self.forward_features(x) 2025-08-14T21:49:38.5818111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5818170Z yl = self.stages(x) 2025-08-14T21:49:38.5818356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5818442Z yl = self.stage3(xl) 2025-08-14T21:49:38.5818615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5818669Z x = module(x) 2025-08-14T21:49:38.5818841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.5818896Z y = y + f(x[j]) 2025-08-14T21:49:38.5818899Z 2025-08-14T21:49:38.5819001Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5819186Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5819246Z return mod(*inputs) 2025-08-14T21:49:38.5819440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5819507Z y = self.forward_features(x) 2025-08-14T21:49:38.5819707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5819775Z yl = self.stages(x) 2025-08-14T21:49:38.5819945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5820012Z yl = self.stage3(xl) 2025-08-14T21:49:38.5820183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5820239Z x = module(x) 2025-08-14T21:49:38.5820416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:49:38.5820491Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:49:38.5820496Z 2025-08-14T21:49:38.5820590Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5820781Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5820843Z return mod(*inputs) 2025-08-14T21:49:38.5821022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5821088Z y = self.forward_features(x) 2025-08-14T21:49:38.5821285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5821351Z yl = self.stages(x) 2025-08-14T21:49:38.5821519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5821580Z yl = self.stage4(xl) 2025-08-14T21:49:38.5821757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5821833Z x = module(x) 2025-08-14T21:49:38.5822009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5822069Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5822242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5822312Z x = self.conv1(x) 2025-08-14T21:49:38.5822315Z 2025-08-14T21:49:38.5822407Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5822587Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5822655Z return mod(*inputs) 2025-08-14T21:49:38.5822825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5822893Z y = self.forward_features(x) 2025-08-14T21:49:38.5823085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5823146Z yl = self.stages(x) 2025-08-14T21:49:38.5823318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5823380Z yl = self.stage4(xl) 2025-08-14T21:49:38.5823564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5823641Z x = module(x) 2025-08-14T21:49:38.5823811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5823878Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5824064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5824126Z x = self.act1(x) 2025-08-14T21:49:38.5824130Z 2025-08-14T21:49:38.5824308Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5824513Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5824578Z return mod(*inputs) 2025-08-14T21:49:38.5824786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5824860Z y = self.forward_features(x) 2025-08-14T21:49:38.5825084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5825150Z yl = self.stages(x) 2025-08-14T21:49:38.5825334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5825411Z yl = self.stage4(xl) 2025-08-14T21:49:38.5825600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5825659Z x = module(x) 2025-08-14T21:49:38.5825856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5825920Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5826118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5826181Z x = self.conv2(x) 2025-08-14T21:49:38.5826186Z 2025-08-14T21:49:38.5826284Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5826493Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5826557Z return mod(*inputs) 2025-08-14T21:49:38.5826736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5826810Z y = self.forward_features(x) 2025-08-14T21:49:38.5827017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5827088Z yl = self.stages(x) 2025-08-14T21:49:38.5827272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5827336Z yl = self.stage4(xl) 2025-08-14T21:49:38.5827542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5827602Z x = module(x) 2025-08-14T21:49:38.5827789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5827858Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5828046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5828110Z x = self.act2(x) 2025-08-14T21:49:38.5828114Z 2025-08-14T21:49:38.5828211Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5828405Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5828478Z return mod(*inputs) 2025-08-14T21:49:38.5828662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5828737Z y = self.forward_features(x) 2025-08-14T21:49:38.5828955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5829020Z yl = self.stages(x) 2025-08-14T21:49:38.5829211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5829307Z yl = self.stage4(xl) 2025-08-14T21:49:38.5829492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5829560Z x = module(x) 2025-08-14T21:49:38.5829746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5829810Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5830006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5830069Z x = self.conv1(x) 2025-08-14T21:49:38.5830073Z 2025-08-14T21:49:38.5830179Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5830377Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5830456Z return mod(*inputs) 2025-08-14T21:49:38.5830649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5830723Z y = self.forward_features(x) 2025-08-14T21:49:38.5830942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5831007Z yl = self.stages(x) 2025-08-14T21:49:38.5831192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5831264Z yl = self.stage4(xl) 2025-08-14T21:49:38.5831449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5831505Z x = module(x) 2025-08-14T21:49:38.5831691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5831755Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5831944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5832014Z x = self.act1(x) 2025-08-14T21:49:38.5832019Z 2025-08-14T21:49:38.5832119Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5832322Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5832385Z return mod(*inputs) 2025-08-14T21:49:38.5832571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5832649Z y = self.forward_features(x) 2025-08-14T21:49:38.5832863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5832932Z yl = self.stages(x) 2025-08-14T21:49:38.5833129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5833196Z yl = self.stage4(xl) 2025-08-14T21:49:38.5833394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5833455Z x = module(x) 2025-08-14T21:49:38.5833644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5833714Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5833905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5833967Z x = self.conv2(x) 2025-08-14T21:49:38.5833978Z 2025-08-14T21:49:38.5834081Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5834278Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5834349Z return mod(*inputs) 2025-08-14T21:49:38.5834538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5834607Z y = self.forward_features(x) 2025-08-14T21:49:38.5834832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5834912Z yl = self.stages(x) 2025-08-14T21:49:38.5835118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5835183Z yl = self.stage4(xl) 2025-08-14T21:49:38.5835367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5835434Z x = module(x) 2025-08-14T21:49:38.5835620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5835682Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5835880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5835944Z x = self.act2(x) 2025-08-14T21:49:38.5835947Z 2025-08-14T21:49:38.5836058Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5836278Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5836345Z return mod(*inputs) 2025-08-14T21:49:38.5836537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5836606Z y = self.forward_features(x) 2025-08-14T21:49:38.5836821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5836893Z yl = self.stages(x) 2025-08-14T21:49:38.5837075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5837146Z yl = self.stage4(xl) 2025-08-14T21:49:38.5837339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5837395Z x = module(x) 2025-08-14T21:49:38.5837572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5837631Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5837807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5837871Z x = self.conv1(x) 2025-08-14T21:49:38.5837874Z 2025-08-14T21:49:38.5837968Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5838156Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5838217Z return mod(*inputs) 2025-08-14T21:49:38.5838387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5838459Z y = self.forward_features(x) 2025-08-14T21:49:38.5838703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5838765Z yl = self.stages(x) 2025-08-14T21:49:38.5838938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5838998Z yl = self.stage4(xl) 2025-08-14T21:49:38.5839178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5839236Z x = module(x) 2025-08-14T21:49:38.5839410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5839477Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5839657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5839714Z x = self.act1(x) 2025-08-14T21:49:38.5839718Z 2025-08-14T21:49:38.5839820Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5840006Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5840075Z return mod(*inputs) 2025-08-14T21:49:38.5840251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5840317Z y = self.forward_features(x) 2025-08-14T21:49:38.5840541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5840616Z yl = self.stages(x) 2025-08-14T21:49:38.5840788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5840858Z yl = self.stage4(xl) 2025-08-14T21:49:38.5841030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5841096Z x = module(x) 2025-08-14T21:49:38.5841271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5841331Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5841520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5841601Z x = self.conv2(x) 2025-08-14T21:49:38.5841605Z 2025-08-14T21:49:38.5841702Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5841899Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5841960Z return mod(*inputs) 2025-08-14T21:49:38.5842143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5842210Z y = self.forward_features(x) 2025-08-14T21:49:38.5842413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5842477Z yl = self.stages(x) 2025-08-14T21:49:38.5842646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5842712Z yl = self.stage4(xl) 2025-08-14T21:49:38.5842890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5842949Z x = module(x) 2025-08-14T21:49:38.5843131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5843195Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5843374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5843440Z x = self.act2(x) 2025-08-14T21:49:38.5843443Z 2025-08-14T21:49:38.5843540Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5843728Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5843798Z return mod(*inputs) 2025-08-14T21:49:38.5843974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5844065Z y = self.forward_features(x) 2025-08-14T21:49:38.5844268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5844328Z yl = self.stages(x) 2025-08-14T21:49:38.5844511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5844573Z yl = self.stage4(xl) 2025-08-14T21:49:38.5844746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5844810Z x = module(x) 2025-08-14T21:49:38.5844983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5845050Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5845228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5845289Z x = self.conv1(x) 2025-08-14T21:49:38.5845292Z 2025-08-14T21:49:38.5845396Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5845579Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5845635Z return mod(*inputs) 2025-08-14T21:49:38.5845834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5845916Z y = self.forward_features(x) 2025-08-14T21:49:38.5846119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5846176Z yl = self.stages(x) 2025-08-14T21:49:38.5846347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5846410Z yl = self.stage4(xl) 2025-08-14T21:49:38.5846584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5846637Z x = module(x) 2025-08-14T21:49:38.5846815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5846875Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5847074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5847134Z x = self.act1(x) 2025-08-14T21:49:38.5847139Z 2025-08-14T21:49:38.5847235Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5847430Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5847490Z return mod(*inputs) 2025-08-14T21:49:38.5847666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5847739Z y = self.forward_features(x) 2025-08-14T21:49:38.5847940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5848010Z yl = self.stages(x) 2025-08-14T21:49:38.5848184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5848244Z yl = self.stage4(xl) 2025-08-14T21:49:38.5848426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5848486Z x = module(x) 2025-08-14T21:49:38.5848659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5848726Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5848907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5848972Z x = self.conv2(x) 2025-08-14T21:49:38.5848975Z 2025-08-14T21:49:38.5849068Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5849253Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5849317Z return mod(*inputs) 2025-08-14T21:49:38.5849504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5849572Z y = self.forward_features(x) 2025-08-14T21:49:38.5849782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5849846Z yl = self.stages(x) 2025-08-14T21:49:38.5850025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5850086Z yl = self.stage4(xl) 2025-08-14T21:49:38.5850263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5850326Z x = module(x) 2025-08-14T21:49:38.5850503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5850562Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5850751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5850810Z x = self.act2(x) 2025-08-14T21:49:38.5850813Z 2025-08-14T21:49:38.5850919Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5851105Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5851193Z return mod(*inputs) 2025-08-14T21:49:38.5851376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5851441Z y = self.forward_features(x) 2025-08-14T21:49:38.5851651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5851713Z yl = self.stages(x) 2025-08-14T21:49:38.5851889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5851957Z yl = self.stage3(xl) 2025-08-14T21:49:38.5852137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5852191Z x = module(x) 2025-08-14T21:49:38.5852383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.5852438Z y = f(x[j]) 2025-08-14T21:49:38.5852442Z 2025-08-14T21:49:38.5852543Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5852733Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5852794Z return mod(*inputs) 2025-08-14T21:49:38.5852979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5853045Z y = self.forward_features(x) 2025-08-14T21:49:38.5853249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5853318Z yl = self.stages(x) 2025-08-14T21:49:38.5853494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5853565Z yl = self.stage3(xl) 2025-08-14T21:49:38.5853740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5853799Z x = module(x) 2025-08-14T21:49:38.5853982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.5854039Z y = y + f(x[j]) 2025-08-14T21:49:38.5854042Z 2025-08-14T21:49:38.5854139Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5854333Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5854396Z return mod(*inputs) 2025-08-14T21:49:38.5854579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5854646Z y = self.forward_features(x) 2025-08-14T21:49:38.5854861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5854926Z yl = self.stages(x) 2025-08-14T21:49:38.5855104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5855166Z yl = self.stage3(xl) 2025-08-14T21:49:38.5855346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5855402Z x = module(x) 2025-08-14T21:49:38.5855585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.5855642Z y = y + f(x[j]) 2025-08-14T21:49:38.5855645Z 2025-08-14T21:49:38.5855740Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5855934Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5855995Z return mod(*inputs) 2025-08-14T21:49:38.5856173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5856248Z y = self.forward_features(x) 2025-08-14T21:49:38.5856452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5856534Z yl = self.stages(x) 2025-08-14T21:49:38.5856723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 754, in stages 2025-08-14T21:49:38.5856786Z yl = self.stage3(xl) 2025-08-14T21:49:38.5856967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5857020Z x = module(x) 2025-08-14T21:49:38.5857193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:49:38.5857270Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:49:38.5857274Z 2025-08-14T21:49:38.5857369Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5857563Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5857624Z return mod(*inputs) 2025-08-14T21:49:38.5857813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5857892Z y = self.forward_features(x) 2025-08-14T21:49:38.5858094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5858156Z yl = self.stages(x) 2025-08-14T21:49:38.5858335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5858393Z yl = self.stage4(xl) 2025-08-14T21:49:38.5858574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5858632Z x = module(x) 2025-08-14T21:49:38.5858805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5858873Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5859053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5859112Z x = self.conv1(x) 2025-08-14T21:49:38.5859117Z 2025-08-14T21:49:38.5859221Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5859404Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5859472Z return mod(*inputs) 2025-08-14T21:49:38.5859648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5859715Z y = self.forward_features(x) 2025-08-14T21:49:38.5859922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5859982Z yl = self.stages(x) 2025-08-14T21:49:38.5860168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5860234Z yl = self.stage4(xl) 2025-08-14T21:49:38.5860424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5860482Z x = module(x) 2025-08-14T21:49:38.5860664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5860725Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5860905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5860971Z x = self.act1(x) 2025-08-14T21:49:38.5860974Z 2025-08-14T21:49:38.5861070Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5861261Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5861322Z return mod(*inputs) 2025-08-14T21:49:38.5861499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5861572Z y = self.forward_features(x) 2025-08-14T21:49:38.5861777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5861855Z yl = self.stages(x) 2025-08-14T21:49:38.5862058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5862120Z yl = self.stage4(xl) 2025-08-14T21:49:38.5862298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5862354Z x = module(x) 2025-08-14T21:49:38.5862526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5862592Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5862778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5862837Z x = self.conv2(x) 2025-08-14T21:49:38.5862840Z 2025-08-14T21:49:38.5862939Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5863132Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5863202Z return mod(*inputs) 2025-08-14T21:49:38.5863374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5863439Z y = self.forward_features(x) 2025-08-14T21:49:38.5863643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5863701Z yl = self.stages(x) 2025-08-14T21:49:38.5863872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5863938Z yl = self.stage4(xl) 2025-08-14T21:49:38.5864108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5864170Z x = module(x) 2025-08-14T21:49:38.5864411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5864481Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5864681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5864745Z x = self.act2(x) 2025-08-14T21:49:38.5864749Z 2025-08-14T21:49:38.5864849Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5865052Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5865115Z return mod(*inputs) 2025-08-14T21:49:38.5865308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5865378Z y = self.forward_features(x) 2025-08-14T21:49:38.5865590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5865679Z yl = self.stages(x) 2025-08-14T21:49:38.5865862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5865926Z yl = self.stage4(xl) 2025-08-14T21:49:38.5866118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5866179Z x = module(x) 2025-08-14T21:49:38.5866367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5866440Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5866618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5866683Z x = self.conv1(x) 2025-08-14T21:49:38.5866686Z 2025-08-14T21:49:38.5866781Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5866964Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5867033Z return mod(*inputs) 2025-08-14T21:49:38.5867208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5867280Z y = self.forward_features(x) 2025-08-14T21:49:38.5867495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5867570Z yl = self.stages(x) 2025-08-14T21:49:38.5867750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5867811Z yl = self.stage4(xl) 2025-08-14T21:49:38.5867987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5868050Z x = module(x) 2025-08-14T21:49:38.5868225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5868291Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5868474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5868532Z x = self.act1(x) 2025-08-14T21:49:38.5868550Z 2025-08-14T21:49:38.5868653Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5868840Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5868903Z return mod(*inputs) 2025-08-14T21:49:38.5869082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5869149Z y = self.forward_features(x) 2025-08-14T21:49:38.5869355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5869416Z yl = self.stages(x) 2025-08-14T21:49:38.5869586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5869653Z yl = self.stage4(xl) 2025-08-14T21:49:38.5869826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5869893Z x = module(x) 2025-08-14T21:49:38.5870069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5870130Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5870310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5870369Z x = self.conv2(x) 2025-08-14T21:49:38.5870372Z 2025-08-14T21:49:38.5870464Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5870647Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5870709Z return mod(*inputs) 2025-08-14T21:49:38.5870876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5870948Z y = self.forward_features(x) 2025-08-14T21:49:38.5871158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5871225Z yl = self.stages(x) 2025-08-14T21:49:38.5871393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5871455Z yl = self.stage4(xl) 2025-08-14T21:49:38.5871629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5871685Z x = module(x) 2025-08-14T21:49:38.5871853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5871917Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5872089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5872154Z x = self.act2(x) 2025-08-14T21:49:38.5872158Z 2025-08-14T21:49:38.5872252Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5872432Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5872498Z return mod(*inputs) 2025-08-14T21:49:38.5872668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5872760Z y = self.forward_features(x) 2025-08-14T21:49:38.5872962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5873022Z yl = self.stages(x) 2025-08-14T21:49:38.5873196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5873256Z yl = self.stage4(xl) 2025-08-14T21:49:38.5873427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5873488Z x = module(x) 2025-08-14T21:49:38.5873660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5873717Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5873908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5873967Z x = self.conv1(x) 2025-08-14T21:49:38.5873972Z 2025-08-14T21:49:38.5874074Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5874253Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5874312Z return mod(*inputs) 2025-08-14T21:49:38.5874488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5874553Z y = self.forward_features(x) 2025-08-14T21:49:38.5874749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5874816Z yl = self.stages(x) 2025-08-14T21:49:38.5874986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5875051Z yl = self.stage4(xl) 2025-08-14T21:49:38.5875223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5875280Z x = module(x) 2025-08-14T21:49:38.5875456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5875512Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5875686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5875749Z x = self.act1(x) 2025-08-14T21:49:38.5875752Z 2025-08-14T21:49:38.5875846Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5876033Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5876093Z return mod(*inputs) 2025-08-14T21:49:38.5876274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5876346Z y = self.forward_features(x) 2025-08-14T21:49:38.5876546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5876606Z yl = self.stages(x) 2025-08-14T21:49:38.5876778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5876838Z yl = self.stage4(xl) 2025-08-14T21:49:38.5877011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5877066Z x = module(x) 2025-08-14T21:49:38.5877233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5877298Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5877471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5877530Z x = self.conv2(x) 2025-08-14T21:49:38.5877533Z 2025-08-14T21:49:38.5877632Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5877810Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5877901Z return mod(*inputs) 2025-08-14T21:49:38.5878074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5878137Z y = self.forward_features(x) 2025-08-14T21:49:38.5878499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5878565Z yl = self.stages(x) 2025-08-14T21:49:38.5878735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5878802Z yl = self.stage4(xl) 2025-08-14T21:49:38.5878975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5879036Z x = module(x) 2025-08-14T21:49:38.5879245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5879308Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5879501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5879561Z x = self.act2(x) 2025-08-14T21:49:38.5879565Z 2025-08-14T21:49:38.5879662Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5879864Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5879926Z return mod(*inputs) 2025-08-14T21:49:38.5880106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5880172Z y = self.forward_features(x) 2025-08-14T21:49:38.5880377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5880444Z yl = self.stages(x) 2025-08-14T21:49:38.5880621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5880682Z yl = self.stage4(xl) 2025-08-14T21:49:38.5880871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5880942Z x = module(x) 2025-08-14T21:49:38.5881124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5881184Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5881364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5881430Z x = self.conv1(x) 2025-08-14T21:49:38.5881433Z 2025-08-14T21:49:38.5881530Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5881739Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5881809Z return mod(*inputs) 2025-08-14T21:49:38.5881984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5882057Z y = self.forward_features(x) 2025-08-14T21:49:38.5882262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5882322Z yl = self.stages(x) 2025-08-14T21:49:38.5882501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5882563Z yl = self.stage4(xl) 2025-08-14T21:49:38.5882738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5882803Z x = module(x) 2025-08-14T21:49:38.5882978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5883043Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5883224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5883285Z x = self.act1(x) 2025-08-14T21:49:38.5883287Z 2025-08-14T21:49:38.5883390Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5883623Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5883682Z return mod(*inputs) 2025-08-14T21:49:38.5883862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5883930Z y = self.forward_features(x) 2025-08-14T21:49:38.5884135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5884196Z yl = self.stages(x) 2025-08-14T21:49:38.5884365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5884433Z yl = self.stage4(xl) 2025-08-14T21:49:38.5884606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5884676Z x = module(x) 2025-08-14T21:49:38.5884854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5884916Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5885098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5885158Z x = self.conv2(x) 2025-08-14T21:49:38.5885161Z 2025-08-14T21:49:38.5885256Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5885450Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5885511Z return mod(*inputs) 2025-08-14T21:49:38.5885686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5885762Z y = self.forward_features(x) 2025-08-14T21:49:38.5885968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5886037Z yl = self.stages(x) 2025-08-14T21:49:38.5886208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5886273Z yl = self.stage4(xl) 2025-08-14T21:49:38.5886452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5886507Z x = module(x) 2025-08-14T21:49:38.5886682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5886749Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5886930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5886995Z x = self.act2(x) 2025-08-14T21:49:38.5886998Z 2025-08-14T21:49:38.5887106Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5887292Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5887360Z return mod(*inputs) 2025-08-14T21:49:38.5887535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5887602Z y = self.forward_features(x) 2025-08-14T21:49:38.5887806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5887866Z yl = self.stages(x) 2025-08-14T21:49:38.5888044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5888106Z yl = self.stage4(xl) 2025-08-14T21:49:38.5888282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5888345Z x = module(x) 2025-08-14T21:49:38.5888523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.5888579Z y = y + f(x[j]) 2025-08-14T21:49:38.5888582Z 2025-08-14T21:49:38.5888684Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5888881Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5888961Z return mod(*inputs) 2025-08-14T21:49:38.5889135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5889201Z y = self.forward_features(x) 2025-08-14T21:49:38.5889409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5889469Z yl = self.stages(x) 2025-08-14T21:49:38.5889641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5889708Z yl = self.stage4(xl) 2025-08-14T21:49:38.5889883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5889944Z x = module(x) 2025-08-14T21:49:38.5890130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.5890188Z y = y + f(x[j]) 2025-08-14T21:49:38.5890191Z 2025-08-14T21:49:38.5890293Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5890478Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5890538Z return mod(*inputs) 2025-08-14T21:49:38.5890721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5890786Z y = self.forward_features(x) 2025-08-14T21:49:38.5890996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5891054Z yl = self.stages(x) 2025-08-14T21:49:38.5891230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5891299Z yl = self.stage4(xl) 2025-08-14T21:49:38.5891472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5891530Z x = module(x) 2025-08-14T21:49:38.5891712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5891771Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5891960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5892018Z x = self.conv1(x) 2025-08-14T21:49:38.5892021Z 2025-08-14T21:49:38.5892116Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5892308Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5892369Z return mod(*inputs) 2025-08-14T21:49:38.5892558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5892633Z y = self.forward_features(x) 2025-08-14T21:49:38.5892838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5892908Z yl = self.stages(x) 2025-08-14T21:49:38.5893080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5893141Z yl = self.stage4(xl) 2025-08-14T21:49:38.5893322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5893378Z x = module(x) 2025-08-14T21:49:38.5893554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5893620Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5893800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5893867Z x = self.act1(x) 2025-08-14T21:49:38.5893870Z 2025-08-14T21:49:38.5893966Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5894151Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5894249Z return mod(*inputs) 2025-08-14T21:49:38.5894424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5894490Z y = self.forward_features(x) 2025-08-14T21:49:38.5894696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5894754Z yl = self.stages(x) 2025-08-14T21:49:38.5894935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5894996Z yl = self.stage4(xl) 2025-08-14T21:49:38.5895174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5895236Z x = module(x) 2025-08-14T21:49:38.5895852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5895918Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5896108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5896168Z x = self.conv2(x) 2025-08-14T21:49:38.5896171Z 2025-08-14T21:49:38.5896275Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5896460Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5896520Z return mod(*inputs) 2025-08-14T21:49:38.5896703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5896769Z y = self.forward_features(x) 2025-08-14T21:49:38.5896973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5897041Z yl = self.stages(x) 2025-08-14T21:49:38.5897216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5897286Z yl = self.stage4(xl) 2025-08-14T21:49:38.5897466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5897521Z x = module(x) 2025-08-14T21:49:38.5897712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5897769Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5897944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5898009Z x = self.act2(x) 2025-08-14T21:49:38.5898012Z 2025-08-14T21:49:38.5898103Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5898312Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5898373Z return mod(*inputs) 2025-08-14T21:49:38.5898544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5898619Z y = self.forward_features(x) 2025-08-14T21:49:38.5898817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5898877Z yl = self.stages(x) 2025-08-14T21:49:38.5899050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5899111Z yl = self.stage4(xl) 2025-08-14T21:49:38.5899289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5899344Z x = module(x) 2025-08-14T21:49:38.5899513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5899580Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5899756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5899814Z x = self.conv1(x) 2025-08-14T21:49:38.5899838Z 2025-08-14T21:49:38.5899934Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5900133Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5900201Z return mod(*inputs) 2025-08-14T21:49:38.5900379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5900446Z y = self.forward_features(x) 2025-08-14T21:49:38.5900659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5900720Z yl = self.stages(x) 2025-08-14T21:49:38.5900894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5900961Z yl = self.stage4(xl) 2025-08-14T21:49:38.5901154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5901216Z x = module(x) 2025-08-14T21:49:38.5901395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5901456Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5901641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5901698Z x = self.act1(x) 2025-08-14T21:49:38.5901701Z 2025-08-14T21:49:38.5901796Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5901985Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5902045Z return mod(*inputs) 2025-08-14T21:49:38.5902226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5902292Z y = self.forward_features(x) 2025-08-14T21:49:38.5902492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5902561Z yl = self.stages(x) 2025-08-14T21:49:38.5902737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5902800Z yl = self.stage4(xl) 2025-08-14T21:49:38.5902984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5903043Z x = module(x) 2025-08-14T21:49:38.5903230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5903290Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5903471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5903540Z x = self.conv2(x) 2025-08-14T21:49:38.5903564Z 2025-08-14T21:49:38.5903665Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5903860Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5903934Z return mod(*inputs) 2025-08-14T21:49:38.5904128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5904274Z y = self.forward_features(x) 2025-08-14T21:49:38.5904482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5904544Z yl = self.stages(x) 2025-08-14T21:49:38.5904726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5904789Z yl = self.stage4(xl) 2025-08-14T21:49:38.5904966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5905034Z x = module(x) 2025-08-14T21:49:38.5905268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5905339Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5905524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5905622Z x = self.act2(x) 2025-08-14T21:49:38.5905626Z 2025-08-14T21:49:38.5905733Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5905937Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5905999Z return mod(*inputs) 2025-08-14T21:49:38.5906186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5906252Z y = self.forward_features(x) 2025-08-14T21:49:38.5906460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5906522Z yl = self.stages(x) 2025-08-14T21:49:38.5906695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5906785Z yl = self.stage4(xl) 2025-08-14T21:49:38.5906962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5907020Z x = module(x) 2025-08-14T21:49:38.5907203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5907261Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5907447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5907506Z x = self.conv1(x) 2025-08-14T21:49:38.5907509Z 2025-08-14T21:49:38.5907603Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5907792Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5907854Z return mod(*inputs) 2025-08-14T21:49:38.5908037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5908105Z y = self.forward_features(x) 2025-08-14T21:49:38.5908307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5908376Z yl = self.stages(x) 2025-08-14T21:49:38.5908548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5908611Z yl = self.stage4(xl) 2025-08-14T21:49:38.5908791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5908848Z x = module(x) 2025-08-14T21:49:38.5909021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5909087Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5909279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5909346Z x = self.act1(x) 2025-08-14T21:49:38.5909349Z 2025-08-14T21:49:38.5909448Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5909645Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5909714Z return mod(*inputs) 2025-08-14T21:49:38.5909884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5909957Z y = self.forward_features(x) 2025-08-14T21:49:38.5910157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5910218Z yl = self.stages(x) 2025-08-14T21:49:38.5910401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5910464Z yl = self.stage4(xl) 2025-08-14T21:49:38.5910640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5910704Z x = module(x) 2025-08-14T21:49:38.5910882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5910969Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5911158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5911218Z x = self.conv2(x) 2025-08-14T21:49:38.5911221Z 2025-08-14T21:49:38.5911324Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5911510Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5911572Z return mod(*inputs) 2025-08-14T21:49:38.5911752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5911818Z y = self.forward_features(x) 2025-08-14T21:49:38.5912025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5912101Z yl = self.stages(x) 2025-08-14T21:49:38.5912274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5912345Z yl = self.stage4(xl) 2025-08-14T21:49:38.5912518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5912574Z x = module(x) 2025-08-14T21:49:38.5912756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5912814Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5912995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5913059Z x = self.act2(x) 2025-08-14T21:49:38.5913062Z 2025-08-14T21:49:38.5913157Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5913349Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5913412Z return mod(*inputs) 2025-08-14T21:49:38.5913588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5913664Z y = self.forward_features(x) 2025-08-14T21:49:38.5913866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5913932Z yl = self.stages(x) 2025-08-14T21:49:38.5914109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5914169Z yl = self.stage4(xl) 2025-08-14T21:49:38.5914352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5914408Z x = module(x) 2025-08-14T21:49:38.5914599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5914668Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5914848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5914909Z x = self.conv1(x) 2025-08-14T21:49:38.5914922Z 2025-08-14T21:49:38.5915018Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5915203Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5915270Z return mod(*inputs) 2025-08-14T21:49:38.5915449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5915515Z y = self.forward_features(x) 2025-08-14T21:49:38.5915726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5915787Z yl = self.stages(x) 2025-08-14T21:49:38.5915972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5916034Z yl = self.stage4(xl) 2025-08-14T21:49:38.5916210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5916289Z x = module(x) 2025-08-14T21:49:38.5916478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5916537Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5916720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5916780Z x = self.act1(x) 2025-08-14T21:49:38.5916783Z 2025-08-14T21:49:38.5916884Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5917068Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5917127Z return mod(*inputs) 2025-08-14T21:49:38.5917311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5917378Z y = self.forward_features(x) 2025-08-14T21:49:38.5917592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5917662Z yl = self.stages(x) 2025-08-14T21:49:38.5917836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5917907Z yl = self.stage4(xl) 2025-08-14T21:49:38.5918082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5918138Z x = module(x) 2025-08-14T21:49:38.5918320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5918379Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5918557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5918625Z x = self.conv2(x) 2025-08-14T21:49:38.5918629Z 2025-08-14T21:49:38.5918724Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5918919Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5918982Z return mod(*inputs) 2025-08-14T21:49:38.5919158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5919231Z y = self.forward_features(x) 2025-08-14T21:49:38.5919433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5919494Z yl = self.stages(x) 2025-08-14T21:49:38.5919674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5919735Z yl = self.stage4(xl) 2025-08-14T21:49:38.5919916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5919989Z x = module(x) 2025-08-14T21:49:38.5920162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5920229Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5920407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5920467Z x = self.act2(x) 2025-08-14T21:49:38.5920470Z 2025-08-14T21:49:38.5920575Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5920759Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5920826Z return mod(*inputs) 2025-08-14T21:49:38.5920999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5921065Z y = self.forward_features(x) 2025-08-14T21:49:38.5921275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5921336Z yl = self.stages(x) 2025-08-14T21:49:38.5921507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5921579Z yl = self.stage4(xl) 2025-08-14T21:49:38.5921769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5921848Z x = module(x) 2025-08-14T21:49:38.5922021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.5922078Z y = y + f(x[j]) 2025-08-14T21:49:38.5922082Z 2025-08-14T21:49:38.5922185Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5922371Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5922432Z return mod(*inputs) 2025-08-14T21:49:38.5922614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5922681Z y = self.forward_features(x) 2025-08-14T21:49:38.5922931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5922994Z yl = self.stages(x) 2025-08-14T21:49:38.5923168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5923238Z yl = self.stage4(xl) 2025-08-14T21:49:38.5923413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5923470Z x = module(x) 2025-08-14T21:49:38.5923651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.5923708Z y = y + f(x[j]) 2025-08-14T21:49:38.5923711Z 2025-08-14T21:49:38.5923812Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5923999Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5924059Z return mod(*inputs) 2025-08-14T21:49:38.5924241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5924307Z y = self.forward_features(x) 2025-08-14T21:49:38.5924510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5924578Z yl = self.stages(x) 2025-08-14T21:49:38.5924750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 756, in stages 2025-08-14T21:49:38.5924929Z xl = [t(yl[-1]) if not isinstance(t, nn.Identity) else yl[i] for i, t in enumerate(self.transition3)] 2025-08-14T21:49:38.5925124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 756, in 2025-08-14T21:49:38.5925289Z xl = [t(yl[-1]) if not isinstance(t, nn.Identity) else yl[i] for i, t in enumerate(self.transition3)] 2025-08-14T21:49:38.5925306Z 2025-08-14T21:49:38.5925413Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5925600Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5925669Z return mod(*inputs) 2025-08-14T21:49:38.5925848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5925916Z y = self.forward_features(x) 2025-08-14T21:49:38.5926121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5926183Z yl = self.stages(x) 2025-08-14T21:49:38.5926354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 756, in stages 2025-08-14T21:49:38.5926517Z xl = [t(yl[-1]) if not isinstance(t, nn.Identity) else yl[i] for i, t in enumerate(self.transition3)] 2025-08-14T21:49:38.5926699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 756, in 2025-08-14T21:49:38.5926860Z xl = [t(yl[-1]) if not isinstance(t, nn.Identity) else yl[i] for i, t in enumerate(self.transition3)] 2025-08-14T21:49:38.5926863Z 2025-08-14T21:49:38.5926960Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5927179Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5927247Z return mod(*inputs) 2025-08-14T21:49:38.5927421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5927487Z y = self.forward_features(x) 2025-08-14T21:49:38.5927698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5927760Z yl = self.stages(x) 2025-08-14T21:49:38.5927940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5928004Z yl = self.stage4(xl) 2025-08-14T21:49:38.5928179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5928258Z x = module(x) 2025-08-14T21:49:38.5928433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5928498Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5928687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5928747Z x = self.conv1(x) 2025-08-14T21:49:38.5928750Z 2025-08-14T21:49:38.5928856Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5929042Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5929103Z return mod(*inputs) 2025-08-14T21:49:38.5929286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5929354Z y = self.forward_features(x) 2025-08-14T21:49:38.5929561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5929623Z yl = self.stages(x) 2025-08-14T21:49:38.5929794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5929866Z yl = self.stage4(xl) 2025-08-14T21:49:38.5930040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5930098Z x = module(x) 2025-08-14T21:49:38.5930279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5930338Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5930516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5930582Z x = self.act1(x) 2025-08-14T21:49:38.5930585Z 2025-08-14T21:49:38.5930696Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5930888Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5930949Z return mod(*inputs) 2025-08-14T21:49:38.5931127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5931204Z y = self.forward_features(x) 2025-08-14T21:49:38.5931407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5931472Z yl = self.stages(x) 2025-08-14T21:49:38.5931647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5931709Z yl = self.stage4(xl) 2025-08-14T21:49:38.5931892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5931949Z x = module(x) 2025-08-14T21:49:38.5932128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5932195Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5932378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5932454Z x = self.conv2(x) 2025-08-14T21:49:38.5932478Z 2025-08-14T21:49:38.5932577Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5932766Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5932836Z return mod(*inputs) 2025-08-14T21:49:38.5933018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5933085Z y = self.forward_features(x) 2025-08-14T21:49:38.5933300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5933364Z yl = self.stages(x) 2025-08-14T21:49:38.5933559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5933621Z yl = self.stage4(xl) 2025-08-14T21:49:38.5933811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5933877Z x = module(x) 2025-08-14T21:49:38.5934054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5934114Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5934306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5934367Z x = self.act2(x) 2025-08-14T21:49:38.5934370Z 2025-08-14T21:49:38.5934476Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5934665Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5934727Z return mod(*inputs) 2025-08-14T21:49:38.5934915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5934981Z y = self.forward_features(x) 2025-08-14T21:49:38.5935190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5935263Z yl = self.stages(x) 2025-08-14T21:49:38.5935439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5935508Z yl = self.stage4(xl) 2025-08-14T21:49:38.5935688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5935745Z x = module(x) 2025-08-14T21:49:38.5935932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5935992Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5936190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5936259Z x = self.conv1(x) 2025-08-14T21:49:38.5936262Z 2025-08-14T21:49:38.5936360Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5936557Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5936623Z return mod(*inputs) 2025-08-14T21:49:38.5936801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5936875Z y = self.forward_features(x) 2025-08-14T21:49:38.5937082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5937144Z yl = self.stages(x) 2025-08-14T21:49:38.5937328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5937392Z yl = self.stage4(xl) 2025-08-14T21:49:38.5937581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5937640Z x = module(x) 2025-08-14T21:49:38.5937820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5937887Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5938087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5938162Z x = self.act1(x) 2025-08-14T21:49:38.5938165Z 2025-08-14T21:49:38.5938270Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5938458Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5938528Z return mod(*inputs) 2025-08-14T21:49:38.5938709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5938778Z y = self.forward_features(x) 2025-08-14T21:49:38.5938995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5939057Z yl = self.stages(x) 2025-08-14T21:49:38.5939248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5939322Z yl = self.stage4(xl) 2025-08-14T21:49:38.5939502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5939567Z x = module(x) 2025-08-14T21:49:38.5939749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5939812Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5940000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5940062Z x = self.conv2(x) 2025-08-14T21:49:38.5940065Z 2025-08-14T21:49:38.5940164Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5940366Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5940429Z return mod(*inputs) 2025-08-14T21:49:38.5940618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5940688Z y = self.forward_features(x) 2025-08-14T21:49:38.5940900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5940971Z yl = self.stages(x) 2025-08-14T21:49:38.5941149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5941212Z yl = self.stage4(xl) 2025-08-14T21:49:38.5941400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5941458Z x = module(x) 2025-08-14T21:49:38.5941645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5941721Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5941951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5942020Z x = self.act2(x) 2025-08-14T21:49:38.5942023Z 2025-08-14T21:49:38.5942123Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5942314Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5942383Z return mod(*inputs) 2025-08-14T21:49:38.5942565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5942640Z y = self.forward_features(x) 2025-08-14T21:49:38.5942846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5942907Z yl = self.stages(x) 2025-08-14T21:49:38.5943148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5943214Z yl = self.stage4(xl) 2025-08-14T21:49:38.5943396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5943462Z x = module(x) 2025-08-14T21:49:38.5943657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5943747Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5943930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5943991Z x = self.conv1(x) 2025-08-14T21:49:38.5943994Z 2025-08-14T21:49:38.5944099Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5944378Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5944450Z return mod(*inputs) 2025-08-14T21:49:38.5944663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5944742Z y = self.forward_features(x) 2025-08-14T21:49:38.5945003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5945071Z yl = self.stages(x) 2025-08-14T21:49:38.5945269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5945348Z yl = self.stage4(xl) 2025-08-14T21:49:38.5945554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5945616Z x = module(x) 2025-08-14T21:49:38.5945820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5945881Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5946074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5946134Z x = self.act1(x) 2025-08-14T21:49:38.5946137Z 2025-08-14T21:49:38.5946239Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5946437Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5946499Z return mod(*inputs) 2025-08-14T21:49:38.5946682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5946760Z y = self.forward_features(x) 2025-08-14T21:49:38.5946976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5947043Z yl = self.stages(x) 2025-08-14T21:49:38.5947214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5947275Z yl = self.stage4(xl) 2025-08-14T21:49:38.5947456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5947513Z x = module(x) 2025-08-14T21:49:38.5947705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5947775Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5947955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5948025Z x = self.conv2(x) 2025-08-14T21:49:38.5948028Z 2025-08-14T21:49:38.5948125Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5948309Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5948376Z return mod(*inputs) 2025-08-14T21:49:38.5948552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5948617Z y = self.forward_features(x) 2025-08-14T21:49:38.5948823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5948884Z yl = self.stages(x) 2025-08-14T21:49:38.5949066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5949129Z yl = self.stage4(xl) 2025-08-14T21:49:38.5949303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5949395Z x = module(x) 2025-08-14T21:49:38.5949571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5949630Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5949816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5949875Z x = self.act2(x) 2025-08-14T21:49:38.5949878Z 2025-08-14T21:49:38.5949981Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5950164Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5950227Z return mod(*inputs) 2025-08-14T21:49:38.5950409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5950490Z y = self.forward_features(x) 2025-08-14T21:49:38.5950694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5950763Z yl = self.stages(x) 2025-08-14T21:49:38.5950937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5951007Z yl = self.stage4(xl) 2025-08-14T21:49:38.5951185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5951240Z x = module(x) 2025-08-14T21:49:38.5951422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5951481Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5951661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5951728Z x = self.conv1(x) 2025-08-14T21:49:38.5951731Z 2025-08-14T21:49:38.5951830Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5952022Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5952087Z return mod(*inputs) 2025-08-14T21:49:38.5952261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5952334Z y = self.forward_features(x) 2025-08-14T21:49:38.5952534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5952594Z yl = self.stages(x) 2025-08-14T21:49:38.5952777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5952840Z yl = self.stage4(xl) 2025-08-14T21:49:38.5953039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5953097Z x = module(x) 2025-08-14T21:49:38.5953272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5953339Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5953521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5953581Z x = self.act1(x) 2025-08-14T21:49:38.5953584Z 2025-08-14T21:49:38.5953689Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5953882Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5953950Z return mod(*inputs) 2025-08-14T21:49:38.5954126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5954192Z y = self.forward_features(x) 2025-08-14T21:49:38.5954402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5954465Z yl = self.stages(x) 2025-08-14T21:49:38.5954638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5954736Z yl = self.stage4(xl) 2025-08-14T21:49:38.5954912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5954974Z x = module(x) 2025-08-14T21:49:38.5955148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5955208Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5955395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5955453Z x = self.conv2(x) 2025-08-14T21:49:38.5955456Z 2025-08-14T21:49:38.5955553Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5955746Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5955806Z return mod(*inputs) 2025-08-14T21:49:38.5956000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5956071Z y = self.forward_features(x) 2025-08-14T21:49:38.5956273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5956342Z yl = self.stages(x) 2025-08-14T21:49:38.5956514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5956575Z yl = self.stage4(xl) 2025-08-14T21:49:38.5956761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5956817Z x = module(x) 2025-08-14T21:49:38.5957002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.5957061Z y = f(x[j]) 2025-08-14T21:49:38.5957065Z 2025-08-14T21:49:38.5957161Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5957357Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5957420Z return mod(*inputs) 2025-08-14T21:49:38.5957594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5957668Z y = self.forward_features(x) 2025-08-14T21:49:38.5957872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5957940Z yl = self.stages(x) 2025-08-14T21:49:38.5958114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5958176Z yl = self.stage4(xl) 2025-08-14T21:49:38.5958372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5958430Z x = module(x) 2025-08-14T21:49:38.5958602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.5958664Z y = f(x[j]) 2025-08-14T21:49:38.5958669Z 2025-08-14T21:49:38.5958766Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5958957Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5959017Z return mod(*inputs) 2025-08-14T21:49:38.5959190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5959261Z y = self.forward_features(x) 2025-08-14T21:49:38.5959462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5959523Z yl = self.stages(x) 2025-08-14T21:49:38.5959703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5959765Z yl = self.stage4(xl) 2025-08-14T21:49:38.5959945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5960017Z x = module(x) 2025-08-14T21:49:38.5960195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.5960274Z y = f(x[j]) 2025-08-14T21:49:38.5960278Z 2025-08-14T21:49:38.5960372Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5960556Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5960624Z return mod(*inputs) 2025-08-14T21:49:38.5960798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5960871Z y = self.forward_features(x) 2025-08-14T21:49:38.5961074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5961134Z yl = self.stages(x) 2025-08-14T21:49:38.5961330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5961395Z yl = self.stage4(xl) 2025-08-14T21:49:38.5961570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5961635Z x = module(x) 2025-08-14T21:49:38.5961814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.5961877Z y = f(x[j]) 2025-08-14T21:49:38.5961881Z 2025-08-14T21:49:38.5961978Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5962165Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5962234Z return mod(*inputs) 2025-08-14T21:49:38.5962413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5962481Z y = self.forward_features(x) 2025-08-14T21:49:38.5962691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5962753Z yl = self.stages(x) 2025-08-14T21:49:38.5962935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5962996Z yl = self.stage4(xl) 2025-08-14T21:49:38.5963170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5963233Z x = module(x) 2025-08-14T21:49:38.5963409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.5963465Z y = f(x[j]) 2025-08-14T21:49:38.5963468Z 2025-08-14T21:49:38.5963574Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5963776Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5963846Z return mod(*inputs) 2025-08-14T21:49:38.5964026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5964094Z y = self.forward_features(x) 2025-08-14T21:49:38.5964305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5964365Z yl = self.stages(x) 2025-08-14T21:49:38.5964536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5964607Z yl = self.stage4(xl) 2025-08-14T21:49:38.5964780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5964842Z x = module(x) 2025-08-14T21:49:38.5965014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.5965073Z y = y + f(x[j]) 2025-08-14T21:49:38.5965076Z 2025-08-14T21:49:38.5965180Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5965366Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5965454Z return mod(*inputs) 2025-08-14T21:49:38.5965649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5965715Z y = self.forward_features(x) 2025-08-14T21:49:38.5965921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5965980Z yl = self.stages(x) 2025-08-14T21:49:38.5966150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5966219Z yl = self.stage4(xl) 2025-08-14T21:49:38.5966389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5966446Z x = module(x) 2025-08-14T21:49:38.5966639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.5966698Z y = y + f(x[j]) 2025-08-14T21:49:38.5966701Z 2025-08-14T21:49:38.5966805Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5966991Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5967052Z return mod(*inputs) 2025-08-14T21:49:38.5967234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5967301Z y = self.forward_features(x) 2025-08-14T21:49:38.5967502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5967570Z yl = self.stages(x) 2025-08-14T21:49:38.5967745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5967817Z yl = self.stage4(xl) 2025-08-14T21:49:38.5967999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5968058Z x = module(x) 2025-08-14T21:49:38.5968247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.5968307Z y = y + f(x[j]) 2025-08-14T21:49:38.5968311Z 2025-08-14T21:49:38.5968409Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5968615Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5968677Z return mod(*inputs) 2025-08-14T21:49:38.5968856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5968923Z y = self.forward_features(x) 2025-08-14T21:49:38.5969140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5969210Z yl = self.stages(x) 2025-08-14T21:49:38.5969384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5969445Z yl = self.stage4(xl) 2025-08-14T21:49:38.5969627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5969685Z x = module(x) 2025-08-14T21:49:38.5969865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.5969921Z y = y + f(x[j]) 2025-08-14T21:49:38.5969924Z 2025-08-14T21:49:38.5970021Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5970214Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5970274Z return mod(*inputs) 2025-08-14T21:49:38.5970453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5970520Z y = self.forward_features(x) 2025-08-14T21:49:38.5970722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5970804Z yl = self.stages(x) 2025-08-14T21:49:38.5970993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5971053Z yl = self.stage4(xl) 2025-08-14T21:49:38.5971233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5971289Z x = module(x) 2025-08-14T21:49:38.5971463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.5971527Z y = y + f(x[j]) 2025-08-14T21:49:38.5971530Z 2025-08-14T21:49:38.5971627Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5971816Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5971878Z return mod(*inputs) 2025-08-14T21:49:38.5972063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5972140Z y = self.forward_features(x) 2025-08-14T21:49:38.5972346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5972415Z yl = self.stages(x) 2025-08-14T21:49:38.5972588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5972650Z yl = self.stage4(xl) 2025-08-14T21:49:38.5972831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5972888Z x = module(x) 2025-08-14T21:49:38.5973061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.5973127Z y = y + f(x[j]) 2025-08-14T21:49:38.5973131Z 2025-08-14T21:49:38.5973228Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5973420Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5973482Z return mod(*inputs) 2025-08-14T21:49:38.5973660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5973734Z y = self.forward_features(x) 2025-08-14T21:49:38.5973937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5973999Z yl = self.stages(x) 2025-08-14T21:49:38.5974180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5974243Z yl = self.stage4(xl) 2025-08-14T21:49:38.5974427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5974501Z x = module(x) 2025-08-14T21:49:38.5974678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:49:38.5974761Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:49:38.5974765Z 2025-08-14T21:49:38.5974862Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5975049Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5975120Z return mod(*inputs) 2025-08-14T21:49:38.5975296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5975371Z y = self.forward_features(x) 2025-08-14T21:49:38.5975577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5975638Z yl = self.stages(x) 2025-08-14T21:49:38.5975823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5975885Z yl = self.stage4(xl) 2025-08-14T21:49:38.5976062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5976127Z x = module(x) 2025-08-14T21:49:38.5976314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5976396Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5976579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5976640Z x = self.conv1(x) 2025-08-14T21:49:38.5976643Z 2025-08-14T21:49:38.5976747Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5976931Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5976993Z return mod(*inputs) 2025-08-14T21:49:38.5977174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5977242Z y = self.forward_features(x) 2025-08-14T21:49:38.5977466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5977528Z yl = self.stages(x) 2025-08-14T21:49:38.5977705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5977774Z yl = self.stage4(xl) 2025-08-14T21:49:38.5977952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5978009Z x = module(x) 2025-08-14T21:49:38.5978194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5978253Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5978614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5978678Z x = self.act1(x) 2025-08-14T21:49:38.5978681Z 2025-08-14T21:49:38.5978782Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5978978Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5979040Z return mod(*inputs) 2025-08-14T21:49:38.5979218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5979295Z y = self.forward_features(x) 2025-08-14T21:49:38.5979495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5979564Z yl = self.stages(x) 2025-08-14T21:49:38.5979739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5979802Z yl = self.stage4(xl) 2025-08-14T21:49:38.5979984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5980042Z x = module(x) 2025-08-14T21:49:38.5980251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5980321Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5980502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5980574Z x = self.conv2(x) 2025-08-14T21:49:38.5980577Z 2025-08-14T21:49:38.5980676Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5980862Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5980931Z return mod(*inputs) 2025-08-14T21:49:38.5981109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5981175Z y = self.forward_features(x) 2025-08-14T21:49:38.5981383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5981448Z yl = self.stages(x) 2025-08-14T21:49:38.5981630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5981694Z yl = self.stage4(xl) 2025-08-14T21:49:38.5981869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5981977Z x = module(x) 2025-08-14T21:49:38.5982151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5982211Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5982396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5982455Z x = self.act2(x) 2025-08-14T21:49:38.5982458Z 2025-08-14T21:49:38.5982561Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5982744Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5982807Z return mod(*inputs) 2025-08-14T21:49:38.5982986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5983071Z y = self.forward_features(x) 2025-08-14T21:49:38.5983275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5983345Z yl = self.stages(x) 2025-08-14T21:49:38.5983515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5983583Z yl = self.stage4(xl) 2025-08-14T21:49:38.5983757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5983814Z x = module(x) 2025-08-14T21:49:38.5983998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5984061Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5984299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5984374Z x = self.conv1(x) 2025-08-14T21:49:38.5984378Z 2025-08-14T21:49:38.5984481Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5984687Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5984753Z return mod(*inputs) 2025-08-14T21:49:38.5984937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5985014Z y = self.forward_features(x) 2025-08-14T21:49:38.5985227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5985290Z yl = self.stages(x) 2025-08-14T21:49:38.5985480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5985545Z yl = self.stage4(xl) 2025-08-14T21:49:38.5985768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5985826Z x = module(x) 2025-08-14T21:49:38.5986000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5986069Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5986251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5986311Z x = self.act1(x) 2025-08-14T21:49:38.5986314Z 2025-08-14T21:49:38.5986419Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5986601Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5986670Z return mod(*inputs) 2025-08-14T21:49:38.5986847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5986915Z y = self.forward_features(x) 2025-08-14T21:49:38.5987131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5987194Z yl = self.stages(x) 2025-08-14T21:49:38.5987372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5987471Z yl = self.stage4(xl) 2025-08-14T21:49:38.5987649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5987716Z x = module(x) 2025-08-14T21:49:38.5987893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5987954Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5988143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5988205Z x = self.conv2(x) 2025-08-14T21:49:38.5988208Z 2025-08-14T21:49:38.5988308Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5988517Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5988578Z return mod(*inputs) 2025-08-14T21:49:38.5988773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5988843Z y = self.forward_features(x) 2025-08-14T21:49:38.5989047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5989118Z yl = self.stages(x) 2025-08-14T21:49:38.5989293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5989356Z yl = self.stage4(xl) 2025-08-14T21:49:38.5989542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5989601Z x = module(x) 2025-08-14T21:49:38.5989788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5989850Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5990035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5990102Z x = self.act2(x) 2025-08-14T21:49:38.5990107Z 2025-08-14T21:49:38.5990207Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5990394Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5990466Z return mod(*inputs) 2025-08-14T21:49:38.5990644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5990718Z y = self.forward_features(x) 2025-08-14T21:49:38.5990924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5990985Z yl = self.stages(x) 2025-08-14T21:49:38.5991184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5991249Z yl = self.stage4(xl) 2025-08-14T21:49:38.5991427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5991493Z x = module(x) 2025-08-14T21:49:38.5991681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5991747Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5991924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5991984Z x = self.conv1(x) 2025-08-14T21:49:38.5991986Z 2025-08-14T21:49:38.5992090Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5992270Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5992332Z return mod(*inputs) 2025-08-14T21:49:38.5992518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5992585Z y = self.forward_features(x) 2025-08-14T21:49:38.5992797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5992878Z yl = self.stages(x) 2025-08-14T21:49:38.5993072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5993143Z yl = self.stage4(xl) 2025-08-14T21:49:38.5993320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5993377Z x = module(x) 2025-08-14T21:49:38.5993566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5993626Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5993816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.5993879Z x = self.act1(x) 2025-08-14T21:49:38.5993882Z 2025-08-14T21:49:38.5993980Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5994198Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5994261Z return mod(*inputs) 2025-08-14T21:49:38.5994438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5994511Z y = self.forward_features(x) 2025-08-14T21:49:38.5994713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5994780Z yl = self.stages(x) 2025-08-14T21:49:38.5994954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5995015Z yl = self.stage4(xl) 2025-08-14T21:49:38.5995198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5995256Z x = module(x) 2025-08-14T21:49:38.5995433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5995501Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5995681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.5995749Z x = self.conv2(x) 2025-08-14T21:49:38.5995752Z 2025-08-14T21:49:38.5995847Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5996032Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5996099Z return mod(*inputs) 2025-08-14T21:49:38.5996277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5996342Z y = self.forward_features(x) 2025-08-14T21:49:38.5996551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5996628Z yl = self.stages(x) 2025-08-14T21:49:38.5996811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5996872Z yl = self.stage4(xl) 2025-08-14T21:49:38.5997049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5997114Z x = module(x) 2025-08-14T21:49:38.5997294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5997353Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5997541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.5997600Z x = self.act2(x) 2025-08-14T21:49:38.5997603Z 2025-08-14T21:49:38.5997707Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5997896Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5997960Z return mod(*inputs) 2025-08-14T21:49:38.5998149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.5998216Z y = self.forward_features(x) 2025-08-14T21:49:38.5998443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.5998527Z yl = self.stages(x) 2025-08-14T21:49:38.5998700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.5998770Z yl = self.stage4(xl) 2025-08-14T21:49:38.5998945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.5999002Z x = module(x) 2025-08-14T21:49:38.5999183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.5999245Z x[i] = branch(x[i]) 2025-08-14T21:49:38.5999426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.5999494Z x = self.conv1(x) 2025-08-14T21:49:38.5999514Z 2025-08-14T21:49:38.5999613Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.5999804Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.5999866Z return mod(*inputs) 2025-08-14T21:49:38.6000044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6000117Z y = self.forward_features(x) 2025-08-14T21:49:38.6000320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6000383Z yl = self.stages(x) 2025-08-14T21:49:38.6000562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6000624Z yl = self.stage4(xl) 2025-08-14T21:49:38.6000809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6000867Z x = module(x) 2025-08-14T21:49:38.6001040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6001108Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6001285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.6001344Z x = self.act1(x) 2025-08-14T21:49:38.6001347Z 2025-08-14T21:49:38.6001452Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6001635Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6001702Z return mod(*inputs) 2025-08-14T21:49:38.6001879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6001946Z y = self.forward_features(x) 2025-08-14T21:49:38.6002168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6002232Z yl = self.stages(x) 2025-08-14T21:49:38.6002404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6002476Z yl = self.stage4(xl) 2025-08-14T21:49:38.6002650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6002715Z x = module(x) 2025-08-14T21:49:38.6002891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6002950Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6003136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.6003194Z x = self.conv2(x) 2025-08-14T21:49:38.6003197Z 2025-08-14T21:49:38.6003295Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6003486Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6003549Z return mod(*inputs) 2025-08-14T21:49:38.6003728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6003823Z y = self.forward_features(x) 2025-08-14T21:49:38.6004024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6004092Z yl = self.stages(x) 2025-08-14T21:49:38.6004265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6004327Z yl = self.stage4(xl) 2025-08-14T21:49:38.6004507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6004565Z x = module(x) 2025-08-14T21:49:38.6004748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6004807Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6005006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.6005074Z x = self.act2(x) 2025-08-14T21:49:38.6005078Z 2025-08-14T21:49:38.6005176Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6005360Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6005428Z return mod(*inputs) 2025-08-14T21:49:38.6005609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6005686Z y = self.forward_features(x) 2025-08-14T21:49:38.6005881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6005941Z yl = self.stages(x) 2025-08-14T21:49:38.6006116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6006176Z yl = self.stage4(xl) 2025-08-14T21:49:38.6006345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6006408Z x = module(x) 2025-08-14T21:49:38.6006576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.6006637Z y = f(x[j]) 2025-08-14T21:49:38.6006640Z 2025-08-14T21:49:38.6006733Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6006910Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6006978Z return mod(*inputs) 2025-08-14T21:49:38.6007146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6007212Z y = self.forward_features(x) 2025-08-14T21:49:38.6007429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6007490Z yl = self.stages(x) 2025-08-14T21:49:38.6007665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6007728Z yl = self.stage4(xl) 2025-08-14T21:49:38.6007899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6007963Z x = module(x) 2025-08-14T21:49:38.6008132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6008187Z y = y + f(x[j]) 2025-08-14T21:49:38.6008197Z 2025-08-14T21:49:38.6008292Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6008473Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6008540Z return mod(*inputs) 2025-08-14T21:49:38.6008712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6008777Z y = self.forward_features(x) 2025-08-14T21:49:38.6008984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6009089Z yl = self.stages(x) 2025-08-14T21:49:38.6009257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6009327Z yl = self.stage4(xl) 2025-08-14T21:49:38.6009497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6009560Z x = module(x) 2025-08-14T21:49:38.6009730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6009785Z y = y + f(x[j]) 2025-08-14T21:49:38.6009789Z 2025-08-14T21:49:38.6009892Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6010074Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6010142Z return mod(*inputs) 2025-08-14T21:49:38.6010326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6010395Z y = self.forward_features(x) 2025-08-14T21:49:38.6010597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6010656Z yl = self.stages(x) 2025-08-14T21:49:38.6010823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6010892Z yl = self.stage4(xl) 2025-08-14T21:49:38.6011062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6011117Z x = module(x) 2025-08-14T21:49:38.6011297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6011356Z y = y + f(x[j]) 2025-08-14T21:49:38.6011359Z 2025-08-14T21:49:38.6011464Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6011644Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6011706Z return mod(*inputs) 2025-08-14T21:49:38.6011881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6011946Z y = self.forward_features(x) 2025-08-14T21:49:38.6012144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6012202Z yl = self.stages(x) 2025-08-14T21:49:38.6012369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6012435Z yl = self.stage4(xl) 2025-08-14T21:49:38.6012618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6012675Z x = module(x) 2025-08-14T21:49:38.6012853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6012908Z y = y + f(x[j]) 2025-08-14T21:49:38.6012913Z 2025-08-14T21:49:38.6013018Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6013198Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6013258Z return mod(*inputs) 2025-08-14T21:49:38.6013434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6013498Z y = self.forward_features(x) 2025-08-14T21:49:38.6013694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6013761Z yl = self.stages(x) 2025-08-14T21:49:38.6013931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6014001Z yl = self.stage4(xl) 2025-08-14T21:49:38.6014173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6014242Z x = module(x) 2025-08-14T21:49:38.6014434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:49:38.6014507Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:49:38.6014511Z 2025-08-14T21:49:38.6014604Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6014794Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6014853Z return mod(*inputs) 2025-08-14T21:49:38.6015029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6015093Z y = self.forward_features(x) 2025-08-14T21:49:38.6015291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6015357Z yl = self.stages(x) 2025-08-14T21:49:38.6015535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6015599Z yl = self.stage4(xl) 2025-08-14T21:49:38.6015775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6015830Z x = module(x) 2025-08-14T21:49:38.6016004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6016063Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6016235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.6016300Z x = self.conv1(x) 2025-08-14T21:49:38.6016303Z 2025-08-14T21:49:38.6016396Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6016575Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6016641Z return mod(*inputs) 2025-08-14T21:49:38.6016811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6016884Z y = self.forward_features(x) 2025-08-14T21:49:38.6017081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6017140Z yl = self.stages(x) 2025-08-14T21:49:38.6017316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6017376Z yl = self.stage4(xl) 2025-08-14T21:49:38.6017545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6017608Z x = module(x) 2025-08-14T21:49:38.6017776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6017856Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6018030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.6018088Z x = self.act1(x) 2025-08-14T21:49:38.6018093Z 2025-08-14T21:49:38.6018192Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6018374Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6018431Z return mod(*inputs) 2025-08-14T21:49:38.6018608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6018672Z y = self.forward_features(x) 2025-08-14T21:49:38.6018874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6018932Z yl = self.stages(x) 2025-08-14T21:49:38.6019100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6019168Z yl = self.stage4(xl) 2025-08-14T21:49:38.6019338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6019394Z x = module(x) 2025-08-14T21:49:38.6019587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6019659Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6019843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.6019903Z x = self.conv2(x) 2025-08-14T21:49:38.6019906Z 2025-08-14T21:49:38.6019999Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6020188Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6020247Z return mod(*inputs) 2025-08-14T21:49:38.6020420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6020493Z y = self.forward_features(x) 2025-08-14T21:49:38.6020708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6020776Z yl = self.stages(x) 2025-08-14T21:49:38.6020948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6021009Z yl = self.stage4(xl) 2025-08-14T21:49:38.6021188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6021245Z x = module(x) 2025-08-14T21:49:38.6021417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6021482Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6021658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.6021723Z x = self.act2(x) 2025-08-14T21:49:38.6021727Z 2025-08-14T21:49:38.6021823Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6022004Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6022072Z return mod(*inputs) 2025-08-14T21:49:38.6022244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6022308Z y = self.forward_features(x) 2025-08-14T21:49:38.6022512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6022571Z yl = self.stages(x) 2025-08-14T21:49:38.6022745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6022806Z yl = self.stage4(xl) 2025-08-14T21:49:38.6022975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6023052Z x = module(x) 2025-08-14T21:49:38.6023221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6023280Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6023462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.6023523Z x = self.conv1(x) 2025-08-14T21:49:38.6023526Z 2025-08-14T21:49:38.6023626Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6023805Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6023863Z return mod(*inputs) 2025-08-14T21:49:38.6024057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6024126Z y = self.forward_features(x) 2025-08-14T21:49:38.6024410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6024493Z yl = self.stages(x) 2025-08-14T21:49:38.6024679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6024754Z yl = self.stage4(xl) 2025-08-14T21:49:38.6024944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6025047Z x = module(x) 2025-08-14T21:49:38.6025241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6025305Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6025556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.6025624Z x = self.act1(x) 2025-08-14T21:49:38.6025628Z 2025-08-14T21:49:38.6025725Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6025917Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6025982Z return mod(*inputs) 2025-08-14T21:49:38.6026161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6026251Z y = self.forward_features(x) 2025-08-14T21:49:38.6026454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6026518Z yl = self.stages(x) 2025-08-14T21:49:38.6026698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6026761Z yl = self.stage4(xl) 2025-08-14T21:49:38.6026941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6026998Z x = module(x) 2025-08-14T21:49:38.6027173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6027239Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6027418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.6027479Z x = self.conv2(x) 2025-08-14T21:49:38.6027481Z 2025-08-14T21:49:38.6027586Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6027773Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6027843Z return mod(*inputs) 2025-08-14T21:49:38.6028017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6028083Z y = self.forward_features(x) 2025-08-14T21:49:38.6028289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6028350Z yl = self.stages(x) 2025-08-14T21:49:38.6028521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6028589Z yl = self.stage4(xl) 2025-08-14T21:49:38.6028777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6028841Z x = module(x) 2025-08-14T21:49:38.6029018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6029080Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6029269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.6029328Z x = self.act2(x) 2025-08-14T21:49:38.6029331Z 2025-08-14T21:49:38.6029428Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6029619Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6029679Z return mod(*inputs) 2025-08-14T21:49:38.6029863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6029929Z y = self.forward_features(x) 2025-08-14T21:49:38.6030132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6030202Z yl = self.stages(x) 2025-08-14T21:49:38.6030374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6030469Z yl = self.stage4(xl) 2025-08-14T21:49:38.6030653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6030709Z x = module(x) 2025-08-14T21:49:38.6030895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6030956Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6031136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.6031203Z x = self.conv1(x) 2025-08-14T21:49:38.6031206Z 2025-08-14T21:49:38.6031304Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6031492Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6031575Z return mod(*inputs) 2025-08-14T21:49:38.6031751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6031829Z y = self.forward_features(x) 2025-08-14T21:49:38.6032031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6032091Z yl = self.stages(x) 2025-08-14T21:49:38.6032269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6032332Z yl = self.stage4(xl) 2025-08-14T21:49:38.6032507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6032573Z x = module(x) 2025-08-14T21:49:38.6032749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6032817Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6032997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.6033056Z x = self.act1(x) 2025-08-14T21:49:38.6033060Z 2025-08-14T21:49:38.6033166Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6033350Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6033409Z return mod(*inputs) 2025-08-14T21:49:38.6033591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6033656Z y = self.forward_features(x) 2025-08-14T21:49:38.6033865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6033925Z yl = self.stages(x) 2025-08-14T21:49:38.6034111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6034182Z yl = self.stage4(xl) 2025-08-14T21:49:38.6034360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6034419Z x = module(x) 2025-08-14T21:49:38.6034600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6034661Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6034850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.6034910Z x = self.conv2(x) 2025-08-14T21:49:38.6034913Z 2025-08-14T21:49:38.6035008Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6035196Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6035255Z return mod(*inputs) 2025-08-14T21:49:38.6035431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6035504Z y = self.forward_features(x) 2025-08-14T21:49:38.6035706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6035791Z yl = self.stages(x) 2025-08-14T21:49:38.6035980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6036040Z yl = self.stage4(xl) 2025-08-14T21:49:38.6036221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6036279Z x = module(x) 2025-08-14T21:49:38.6036454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6036522Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6036702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.6036770Z x = self.act2(x) 2025-08-14T21:49:38.6036774Z 2025-08-14T21:49:38.6036870Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6037068Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6037139Z return mod(*inputs) 2025-08-14T21:49:38.6037314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6037381Z y = self.forward_features(x) 2025-08-14T21:49:38.6037592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6037652Z yl = self.stages(x) 2025-08-14T21:49:38.6037831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6037892Z yl = self.stage4(xl) 2025-08-14T21:49:38.6038069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6038135Z x = module(x) 2025-08-14T21:49:38.6038309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6038368Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6038554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.6038616Z x = self.conv1(x) 2025-08-14T21:49:38.6038618Z 2025-08-14T21:49:38.6038722Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6038905Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6038965Z return mod(*inputs) 2025-08-14T21:49:38.6039143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6039209Z y = self.forward_features(x) 2025-08-14T21:49:38.6039423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6039491Z yl = self.stages(x) 2025-08-14T21:49:38.6039667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6039738Z yl = self.stage4(xl) 2025-08-14T21:49:38.6039915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6039977Z x = module(x) 2025-08-14T21:49:38.6040160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6040222Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6040406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.6040473Z x = self.act1(x) 2025-08-14T21:49:38.6040476Z 2025-08-14T21:49:38.6040576Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6040773Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6040837Z return mod(*inputs) 2025-08-14T21:49:38.6041015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6041092Z y = self.forward_features(x) 2025-08-14T21:49:38.6041307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6041383Z yl = self.stages(x) 2025-08-14T21:49:38.6041565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6041626Z yl = self.stage4(xl) 2025-08-14T21:49:38.6041816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6041872Z x = module(x) 2025-08-14T21:49:38.6042052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6042119Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6042306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.6042366Z x = self.conv2(x) 2025-08-14T21:49:38.6042383Z 2025-08-14T21:49:38.6042486Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6042670Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6042737Z return mod(*inputs) 2025-08-14T21:49:38.6042912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6042978Z y = self.forward_features(x) 2025-08-14T21:49:38.6043186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6043247Z yl = self.stages(x) 2025-08-14T21:49:38.6043427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6043498Z yl = self.stage4(xl) 2025-08-14T21:49:38.6043665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6043729Z x = module(x) 2025-08-14T21:49:38.6043897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6043959Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6044143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.6044200Z x = self.act2(x) 2025-08-14T21:49:38.6044203Z 2025-08-14T21:49:38.6044297Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6044483Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6044544Z return mod(*inputs) 2025-08-14T21:49:38.6044721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6044800Z y = self.forward_features(x) 2025-08-14T21:49:38.6044996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6045062Z yl = self.stages(x) 2025-08-14T21:49:38.6045231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6045295Z yl = self.stage4(xl) 2025-08-14T21:49:38.6045473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6045528Z x = module(x) 2025-08-14T21:49:38.6045702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6045759Z y = y + f(x[j]) 2025-08-14T21:49:38.6045762Z 2025-08-14T21:49:38.6045854Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6046043Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6046103Z return mod(*inputs) 2025-08-14T21:49:38.6046271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6046344Z y = self.forward_features(x) 2025-08-14T21:49:38.6046538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6046641Z yl = self.stages(x) 2025-08-14T21:49:38.6046810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6046871Z yl = self.stage4(xl) 2025-08-14T21:49:38.6047047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6047102Z x = module(x) 2025-08-14T21:49:38.6047271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6047334Z y = y + f(x[j]) 2025-08-14T21:49:38.6047337Z 2025-08-14T21:49:38.6047433Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6047631Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6047692Z return mod(*inputs) 2025-08-14T21:49:38.6047863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6047938Z y = self.forward_features(x) 2025-08-14T21:49:38.6048138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6048196Z yl = self.stages(x) 2025-08-14T21:49:38.6048373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6048434Z yl = self.stage4(xl) 2025-08-14T21:49:38.6048610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6048666Z x = module(x) 2025-08-14T21:49:38.6048836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.6048898Z y = f(x[j]) 2025-08-14T21:49:38.6048901Z 2025-08-14T21:49:38.6048996Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6049186Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6049247Z return mod(*inputs) 2025-08-14T21:49:38.6049415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6049487Z y = self.forward_features(x) 2025-08-14T21:49:38.6049682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6049740Z yl = self.stages(x) 2025-08-14T21:49:38.6049914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6049976Z yl = self.stage4(xl) 2025-08-14T21:49:38.6050159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6050222Z x = module(x) 2025-08-14T21:49:38.6050391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.6050455Z y = f(x[j]) 2025-08-14T21:49:38.6050458Z 2025-08-14T21:49:38.6050552Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6050729Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6050796Z return mod(*inputs) 2025-08-14T21:49:38.6050964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6051036Z y = self.forward_features(x) 2025-08-14T21:49:38.6051229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6051289Z yl = self.stages(x) 2025-08-14T21:49:38.6051466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6051526Z yl = self.stage4(xl) 2025-08-14T21:49:38.6051695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6051787Z x = module(x) 2025-08-14T21:49:38.6051955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.6052009Z y = f(x[j]) 2025-08-14T21:49:38.6052018Z 2025-08-14T21:49:38.6052111Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6052290Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6052355Z return mod(*inputs) 2025-08-14T21:49:38.6052524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6052588Z y = self.forward_features(x) 2025-08-14T21:49:38.6052793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6052867Z yl = self.stages(x) 2025-08-14T21:49:38.6053041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6053104Z yl = self.stage4(xl) 2025-08-14T21:49:38.6053275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6053336Z x = module(x) 2025-08-14T21:49:38.6053505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6053560Z y = y + f(x[j]) 2025-08-14T21:49:38.6053562Z 2025-08-14T21:49:38.6053665Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6053845Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6053914Z return mod(*inputs) 2025-08-14T21:49:38.6054086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6054152Z y = self.forward_features(x) 2025-08-14T21:49:38.6054355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6054417Z yl = self.stages(x) 2025-08-14T21:49:38.6054585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6054655Z yl = self.stage4(xl) 2025-08-14T21:49:38.6054827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6054890Z x = module(x) 2025-08-14T21:49:38.6055062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6055118Z y = y + f(x[j]) 2025-08-14T21:49:38.6055121Z 2025-08-14T21:49:38.6055236Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6055417Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6055478Z return mod(*inputs) 2025-08-14T21:49:38.6055656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6055723Z y = self.forward_features(x) 2025-08-14T21:49:38.6055925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6055986Z yl = self.stages(x) 2025-08-14T21:49:38.6056155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6056222Z yl = self.stage4(xl) 2025-08-14T21:49:38.6056391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6056446Z x = module(x) 2025-08-14T21:49:38.6056625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6056681Z y = y + f(x[j]) 2025-08-14T21:49:38.6056684Z 2025-08-14T21:49:38.6056787Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6056968Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6057065Z return mod(*inputs) 2025-08-14T21:49:38.6057241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6057307Z y = self.forward_features(x) 2025-08-14T21:49:38.6057504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6057570Z yl = self.stages(x) 2025-08-14T21:49:38.6057737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6057804Z yl = self.stage4(xl) 2025-08-14T21:49:38.6057976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6058031Z x = module(x) 2025-08-14T21:49:38.6058225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6058283Z y = y + f(x[j]) 2025-08-14T21:49:38.6058288Z 2025-08-14T21:49:38.6058382Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6058568Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6058627Z return mod(*inputs) 2025-08-14T21:49:38.6058806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6058870Z y = self.forward_features(x) 2025-08-14T21:49:38.6059067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6059135Z yl = self.stages(x) 2025-08-14T21:49:38.6059305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6059365Z yl = self.stage4(xl) 2025-08-14T21:49:38.6059545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6059602Z x = module(x) 2025-08-14T21:49:38.6059778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:49:38.6059851Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:49:38.6059854Z 2025-08-14T21:49:38.6059947Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6060132Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6060192Z return mod(*inputs) 2025-08-14T21:49:38.6060361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6060434Z y = self.forward_features(x) 2025-08-14T21:49:38.6060644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6060713Z yl = self.stages(x) 2025-08-14T21:49:38.6060882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6060947Z yl = self.stage4(xl) 2025-08-14T21:49:38.6061125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6061180Z x = module(x) 2025-08-14T21:49:38.6061351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6061415Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6061592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.6061658Z x = self.conv1(x) 2025-08-14T21:49:38.6061661Z 2025-08-14T21:49:38.6061753Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6061931Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6062000Z return mod(*inputs) 2025-08-14T21:49:38.6062173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6062264Z y = self.forward_features(x) 2025-08-14T21:49:38.6062467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6062525Z yl = self.stages(x) 2025-08-14T21:49:38.6062699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6062758Z yl = self.stage4(xl) 2025-08-14T21:49:38.6062927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6062989Z x = module(x) 2025-08-14T21:49:38.6063160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6063219Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6063414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.6063474Z x = self.act1(x) 2025-08-14T21:49:38.6063476Z 2025-08-14T21:49:38.6063580Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6063760Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6063820Z return mod(*inputs) 2025-08-14T21:49:38.6063995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6064059Z y = self.forward_features(x) 2025-08-14T21:49:38.6064324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6064399Z yl = self.stages(x) 2025-08-14T21:49:38.6064587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6064662Z yl = self.stage4(xl) 2025-08-14T21:49:38.6064849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6064914Z x = module(x) 2025-08-14T21:49:38.6065106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6065170Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6065362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.6065435Z x = self.conv2(x) 2025-08-14T21:49:38.6065439Z 2025-08-14T21:49:38.6065542Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6065748Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6065812Z return mod(*inputs) 2025-08-14T21:49:38.6066016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6066095Z y = self.forward_features(x) 2025-08-14T21:49:38.6066308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6066375Z yl = self.stages(x) 2025-08-14T21:49:38.6066568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6066635Z yl = self.stage4(xl) 2025-08-14T21:49:38.6066828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6066890Z x = module(x) 2025-08-14T21:49:38.6067076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6067146Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6067338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.6067402Z x = self.act2(x) 2025-08-14T21:49:38.6067405Z 2025-08-14T21:49:38.6067516Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6067713Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6067801Z return mod(*inputs) 2025-08-14T21:49:38.6068002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6068071Z y = self.forward_features(x) 2025-08-14T21:49:38.6068293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6068356Z yl = self.stages(x) 2025-08-14T21:49:38.6068538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6068610Z yl = self.stage4(xl) 2025-08-14T21:49:38.6068793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6068860Z x = module(x) 2025-08-14T21:49:38.6069058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6069121Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6069320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.6069385Z x = self.conv1(x) 2025-08-14T21:49:38.6069388Z 2025-08-14T21:49:38.6069490Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6069693Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6069756Z return mod(*inputs) 2025-08-14T21:49:38.6069947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6070016Z y = self.forward_features(x) 2025-08-14T21:49:38.6070231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6070304Z yl = self.stages(x) 2025-08-14T21:49:38.6070489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6070554Z yl = self.stage4(xl) 2025-08-14T21:49:38.6070748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6070810Z x = module(x) 2025-08-14T21:49:38.6071002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6071065Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6071255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.6071324Z x = self.act1(x) 2025-08-14T21:49:38.6071327Z 2025-08-14T21:49:38.6071428Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6071639Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6071712Z return mod(*inputs) 2025-08-14T21:49:38.6071900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6071976Z y = self.forward_features(x) 2025-08-14T21:49:38.6072190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6072255Z yl = self.stages(x) 2025-08-14T21:49:38.6072445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6072510Z yl = self.stage4(xl) 2025-08-14T21:49:38.6072694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6072761Z x = module(x) 2025-08-14T21:49:38.6072946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6073017Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6073204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.6073270Z x = self.conv2(x) 2025-08-14T21:49:38.6073273Z 2025-08-14T21:49:38.6073381Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6073611Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6073677Z return mod(*inputs) 2025-08-14T21:49:38.6073871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6073942Z y = self.forward_features(x) 2025-08-14T21:49:38.6074162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6074228Z yl = self.stages(x) 2025-08-14T21:49:38.6074413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6074488Z yl = self.stage4(xl) 2025-08-14T21:49:38.6074675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6074752Z x = module(x) 2025-08-14T21:49:38.6074945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6075005Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6075187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.6075244Z x = self.act2(x) 2025-08-14T21:49:38.6075246Z 2025-08-14T21:49:38.6075340Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6075526Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6075585Z return mod(*inputs) 2025-08-14T21:49:38.6075754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6075827Z y = self.forward_features(x) 2025-08-14T21:49:38.6076022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6076088Z yl = self.stages(x) 2025-08-14T21:49:38.6076259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6076322Z yl = self.stage4(xl) 2025-08-14T21:49:38.6076501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6076556Z x = module(x) 2025-08-14T21:49:38.6076726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6076792Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6076966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.6077031Z x = self.conv1(x) 2025-08-14T21:49:38.6077034Z 2025-08-14T21:49:38.6077142Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6077322Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6077393Z return mod(*inputs) 2025-08-14T21:49:38.6077564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6077632Z y = self.forward_features(x) 2025-08-14T21:49:38.6077837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6077896Z yl = self.stages(x) 2025-08-14T21:49:38.6078071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6078131Z yl = self.stage4(xl) 2025-08-14T21:49:38.6078302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6078499Z x = module(x) 2025-08-14T21:49:38.6078679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6078738Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6078921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.6079014Z x = self.act1(x) 2025-08-14T21:49:38.6079040Z 2025-08-14T21:49:38.6079142Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6079320Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6079380Z return mod(*inputs) 2025-08-14T21:49:38.6079554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6079619Z y = self.forward_features(x) 2025-08-14T21:49:38.6079812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6079880Z yl = self.stages(x) 2025-08-14T21:49:38.6080048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6080118Z yl = self.stage4(xl) 2025-08-14T21:49:38.6080308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6080367Z x = module(x) 2025-08-14T21:49:38.6080548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6080609Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6080787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.6080856Z x = self.conv2(x) 2025-08-14T21:49:38.6080859Z 2025-08-14T21:49:38.6080954Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6081148Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6081209Z return mod(*inputs) 2025-08-14T21:49:38.6081386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6081460Z y = self.forward_features(x) 2025-08-14T21:49:38.6081672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6081735Z yl = self.stages(x) 2025-08-14T21:49:38.6081910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6081970Z yl = self.stage4(xl) 2025-08-14T21:49:38.6082147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6082202Z x = module(x) 2025-08-14T21:49:38.6082373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6082437Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6082629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.6082690Z x = self.act2(x) 2025-08-14T21:49:38.6082701Z 2025-08-14T21:49:38.6082799Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6082984Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6083056Z return mod(*inputs) 2025-08-14T21:49:38.6083232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6083299Z y = self.forward_features(x) 2025-08-14T21:49:38.6083513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6083573Z yl = self.stages(x) 2025-08-14T21:49:38.6083771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6083840Z yl = self.stage4(xl) 2025-08-14T21:49:38.6084019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6084082Z x = module(x) 2025-08-14T21:49:38.6084259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6084320Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6084521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.6084596Z x = self.conv1(x) 2025-08-14T21:49:38.6084599Z 2025-08-14T21:49:38.6084695Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6084902Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6084961Z return mod(*inputs) 2025-08-14T21:49:38.6085144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6085208Z y = self.forward_features(x) 2025-08-14T21:49:38.6085446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6085515Z yl = self.stages(x) 2025-08-14T21:49:38.6085716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6085779Z yl = self.stage4(xl) 2025-08-14T21:49:38.6085962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6086019Z x = module(x) 2025-08-14T21:49:38.6086203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6086262Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6086441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.6086505Z x = self.act1(x) 2025-08-14T21:49:38.6086508Z 2025-08-14T21:49:38.6086613Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6086804Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6086862Z return mod(*inputs) 2025-08-14T21:49:38.6087032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6087105Z y = self.forward_features(x) 2025-08-14T21:49:38.6087306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6087364Z yl = self.stages(x) 2025-08-14T21:49:38.6087541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6087601Z yl = self.stage4(xl) 2025-08-14T21:49:38.6087770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6087832Z x = module(x) 2025-08-14T21:49:38.6088002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6088082Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6088258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.6088318Z x = self.conv2(x) 2025-08-14T21:49:38.6088321Z 2025-08-14T21:49:38.6088423Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6088603Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6088670Z return mod(*inputs) 2025-08-14T21:49:38.6088840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6088904Z y = self.forward_features(x) 2025-08-14T21:49:38.6089109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6089169Z yl = self.stages(x) 2025-08-14T21:49:38.6089338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6089408Z yl = self.stage4(xl) 2025-08-14T21:49:38.6089579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6089635Z x = module(x) 2025-08-14T21:49:38.6089829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6089905Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6090088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.6090146Z x = self.act2(x) 2025-08-14T21:49:38.6090149Z 2025-08-14T21:49:38.6090244Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6090435Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6090495Z return mod(*inputs) 2025-08-14T21:49:38.6090673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6090741Z y = self.forward_features(x) 2025-08-14T21:49:38.6090957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6091026Z yl = self.stages(x) 2025-08-14T21:49:38.6091201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6091265Z yl = self.stage4(xl) 2025-08-14T21:49:38.6091445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6091514Z x = module(x) 2025-08-14T21:49:38.6091682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6091745Z y = y + f(x[j]) 2025-08-14T21:49:38.6091748Z 2025-08-14T21:49:38.6091841Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6092032Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6092093Z return mod(*inputs) 2025-08-14T21:49:38.6092263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6092335Z y = self.forward_features(x) 2025-08-14T21:49:38.6092532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6092602Z yl = self.stages(x) 2025-08-14T21:49:38.6092774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6092836Z yl = self.stage4(xl) 2025-08-14T21:49:38.6093017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6093075Z x = module(x) 2025-08-14T21:49:38.6093246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6093311Z y = y + f(x[j]) 2025-08-14T21:49:38.6093314Z 2025-08-14T21:49:38.6093426Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6093621Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6093682Z return mod(*inputs) 2025-08-14T21:49:38.6093857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6093932Z y = self.forward_features(x) 2025-08-14T21:49:38.6094136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6094196Z yl = self.stages(x) 2025-08-14T21:49:38.6094379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6094440Z yl = self.stage4(xl) 2025-08-14T21:49:38.6094634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6094689Z x = module(x) 2025-08-14T21:49:38.6094861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6094926Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6095102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.6095214Z x = self.conv1(x) 2025-08-14T21:49:38.6095217Z 2025-08-14T21:49:38.6095318Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6095500Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6095566Z return mod(*inputs) 2025-08-14T21:49:38.6095734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6095797Z y = self.forward_features(x) 2025-08-14T21:49:38.6095998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6096060Z yl = self.stages(x) 2025-08-14T21:49:38.6096229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6096315Z yl = self.stage4(xl) 2025-08-14T21:49:38.6096490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6096556Z x = module(x) 2025-08-14T21:49:38.6096729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6096788Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6096975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.6097033Z x = self.act1(x) 2025-08-14T21:49:38.6097036Z 2025-08-14T21:49:38.6097132Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6097319Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6097392Z return mod(*inputs) 2025-08-14T21:49:38.6097566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6097632Z y = self.forward_features(x) 2025-08-14T21:49:38.6097828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6097897Z yl = self.stages(x) 2025-08-14T21:49:38.6098068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6098129Z yl = self.stage4(xl) 2025-08-14T21:49:38.6098309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6098366Z x = module(x) 2025-08-14T21:49:38.6098546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6098606Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6098798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.6098864Z x = self.conv2(x) 2025-08-14T21:49:38.6098867Z 2025-08-14T21:49:38.6098966Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6099153Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6099224Z return mod(*inputs) 2025-08-14T21:49:38.6099399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6099474Z y = self.forward_features(x) 2025-08-14T21:49:38.6099677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6099738Z yl = self.stages(x) 2025-08-14T21:49:38.6099918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6099981Z yl = self.stage4(xl) 2025-08-14T21:49:38.6100160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6100225Z x = module(x) 2025-08-14T21:49:38.6100403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6100484Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6100679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.6100739Z x = self.act2(x) 2025-08-14T21:49:38.6100742Z 2025-08-14T21:49:38.6100844Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6101028Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6101090Z return mod(*inputs) 2025-08-14T21:49:38.6101271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6101336Z y = self.forward_features(x) 2025-08-14T21:49:38.6101545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6101606Z yl = self.stages(x) 2025-08-14T21:49:38.6101793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6101865Z yl = self.stage4(xl) 2025-08-14T21:49:38.6102040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6102096Z x = module(x) 2025-08-14T21:49:38.6102277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6102338Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6102525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.6102586Z x = self.conv1(x) 2025-08-14T21:49:38.6102589Z 2025-08-14T21:49:38.6102686Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6102878Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6102939Z return mod(*inputs) 2025-08-14T21:49:38.6103114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6103192Z y = self.forward_features(x) 2025-08-14T21:49:38.6103391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6103460Z yl = self.stages(x) 2025-08-14T21:49:38.6103633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6103695Z yl = self.stage4(xl) 2025-08-14T21:49:38.6103881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6103937Z x = module(x) 2025-08-14T21:49:38.6104127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6104263Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6104464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.6104539Z x = self.act1(x) 2025-08-14T21:49:38.6104545Z 2025-08-14T21:49:38.6104648Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6104846Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6104919Z return mod(*inputs) 2025-08-14T21:49:38.6105105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6105174Z y = self.forward_features(x) 2025-08-14T21:49:38.6105397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6105462Z yl = self.stages(x) 2025-08-14T21:49:38.6105660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6105723Z yl = self.stage4(xl) 2025-08-14T21:49:38.6105896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6105978Z x = module(x) 2025-08-14T21:49:38.6106161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6106441Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6106627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.6106689Z x = self.conv2(x) 2025-08-14T21:49:38.6106692Z 2025-08-14T21:49:38.6106796Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6106980Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6107041Z return mod(*inputs) 2025-08-14T21:49:38.6107225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6107291Z y = self.forward_features(x) 2025-08-14T21:49:38.6107506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6107577Z yl = self.stages(x) 2025-08-14T21:49:38.6107751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6107821Z yl = self.stage4(xl) 2025-08-14T21:49:38.6107997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6108053Z x = module(x) 2025-08-14T21:49:38.6108234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6108296Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6108475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.6108543Z x = self.act2(x) 2025-08-14T21:49:38.6108546Z 2025-08-14T21:49:38.6108643Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6108839Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6108900Z return mod(*inputs) 2025-08-14T21:49:38.6109074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6109145Z y = self.forward_features(x) 2025-08-14T21:49:38.6109345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6109404Z yl = self.stages(x) 2025-08-14T21:49:38.6109583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6109645Z yl = self.stage4(xl) 2025-08-14T21:49:38.6109825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6109897Z x = module(x) 2025-08-14T21:49:38.6110069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6110134Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6110311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.6110372Z x = self.conv1(x) 2025-08-14T21:49:38.6110375Z 2025-08-14T21:49:38.6110477Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6110659Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6110728Z return mod(*inputs) 2025-08-14T21:49:38.6110902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6110968Z y = self.forward_features(x) 2025-08-14T21:49:38.6111175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6111238Z yl = self.stages(x) 2025-08-14T21:49:38.6111411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6111482Z yl = self.stage4(xl) 2025-08-14T21:49:38.6111669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6111747Z x = module(x) 2025-08-14T21:49:38.6111923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6111982Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6112166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.6112225Z x = self.act1(x) 2025-08-14T21:49:38.6112228Z 2025-08-14T21:49:38.6112325Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6112518Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6112580Z return mod(*inputs) 2025-08-14T21:49:38.6112777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6112844Z y = self.forward_features(x) 2025-08-14T21:49:38.6113048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6113118Z yl = self.stages(x) 2025-08-14T21:49:38.6113298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6113359Z yl = self.stage4(xl) 2025-08-14T21:49:38.6113536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6113593Z x = module(x) 2025-08-14T21:49:38.6113770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6113829Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6114005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.6114069Z x = self.conv2(x) 2025-08-14T21:49:38.6114074Z 2025-08-14T21:49:38.6114169Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6114351Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6114419Z return mod(*inputs) 2025-08-14T21:49:38.6114588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6114659Z y = self.forward_features(x) 2025-08-14T21:49:38.6114854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6114912Z yl = self.stages(x) 2025-08-14T21:49:38.6115090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6115152Z yl = self.stage4(xl) 2025-08-14T21:49:38.6115336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6115403Z x = module(x) 2025-08-14T21:49:38.6115571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6115639Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6115812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.6115869Z x = self.act2(x) 2025-08-14T21:49:38.6115872Z 2025-08-14T21:49:38.6115973Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6116156Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6116216Z return mod(*inputs) 2025-08-14T21:49:38.6116396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6116464Z y = self.forward_features(x) 2025-08-14T21:49:38.6116672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6116735Z yl = self.stages(x) 2025-08-14T21:49:38.6116907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6117008Z yl = self.stage4(xl) 2025-08-14T21:49:38.6117185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6117242Z x = module(x) 2025-08-14T21:49:38.6117427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6117487Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6117678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.6117740Z x = self.conv1(x) 2025-08-14T21:49:38.6117743Z 2025-08-14T21:49:38.6117842Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6118039Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6118113Z return mod(*inputs) 2025-08-14T21:49:38.6118286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6118364Z y = self.forward_features(x) 2025-08-14T21:49:38.6118564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6118631Z yl = self.stages(x) 2025-08-14T21:49:38.6118803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6118866Z yl = self.stage4(xl) 2025-08-14T21:49:38.6119045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6119100Z x = module(x) 2025-08-14T21:49:38.6119273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6119340Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6119519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.6119587Z x = self.act1(x) 2025-08-14T21:49:38.6119591Z 2025-08-14T21:49:38.6119687Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6119874Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6119942Z return mod(*inputs) 2025-08-14T21:49:38.6120114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6120179Z y = self.forward_features(x) 2025-08-14T21:49:38.6120387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6120449Z yl = self.stages(x) 2025-08-14T21:49:38.6120640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6120700Z yl = self.stage4(xl) 2025-08-14T21:49:38.6120873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6120937Z x = module(x) 2025-08-14T21:49:38.6121112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6121171Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6121356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.6121414Z x = self.conv2(x) 2025-08-14T21:49:38.6121417Z 2025-08-14T21:49:38.6121520Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6121703Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6121763Z return mod(*inputs) 2025-08-14T21:49:38.6121944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6122011Z y = self.forward_features(x) 2025-08-14T21:49:38.6122211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6122312Z yl = self.stages(x) 2025-08-14T21:49:38.6122488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6122555Z yl = self.stage4(xl) 2025-08-14T21:49:38.6122731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6122787Z x = module(x) 2025-08-14T21:49:38.6122970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.6123028Z y = f(x[j]) 2025-08-14T21:49:38.6123031Z 2025-08-14T21:49:38.6123128Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6123327Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6123387Z return mod(*inputs) 2025-08-14T21:49:38.6123586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6123656Z y = self.forward_features(x) 2025-08-14T21:49:38.6123856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6123925Z yl = self.stages(x) 2025-08-14T21:49:38.6124097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6124158Z yl = self.stage4(xl) 2025-08-14T21:49:38.6124339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6124396Z x = module(x) 2025-08-14T21:49:38.6124578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.6124635Z y = f(x[j]) 2025-08-14T21:49:38.6124638Z 2025-08-14T21:49:38.6124736Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6124929Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6124993Z return mod(*inputs) 2025-08-14T21:49:38.6125165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6125239Z y = self.forward_features(x) 2025-08-14T21:49:38.6125440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6125507Z yl = self.stages(x) 2025-08-14T21:49:38.6125680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6125740Z yl = self.stage4(xl) 2025-08-14T21:49:38.6125936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6125993Z x = module(x) 2025-08-14T21:49:38.6126167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.6126232Z y = f(x[j]) 2025-08-14T21:49:38.6126237Z 2025-08-14T21:49:38.6126333Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6126524Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6126586Z return mod(*inputs) 2025-08-14T21:49:38.6126759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6126832Z y = self.forward_features(x) 2025-08-14T21:49:38.6127032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6127094Z yl = self.stages(x) 2025-08-14T21:49:38.6127276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6127337Z yl = self.stage4(xl) 2025-08-14T21:49:38.6127519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6127576Z x = module(x) 2025-08-14T21:49:38.6127773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.6127849Z y = f(x[j]) 2025-08-14T21:49:38.6127852Z 2025-08-14T21:49:38.6127949Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6128137Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6128205Z return mod(*inputs) 2025-08-14T21:49:38.6128385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6128457Z y = self.forward_features(x) 2025-08-14T21:49:38.6128666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6128727Z yl = self.stages(x) 2025-08-14T21:49:38.6128926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6128990Z yl = self.stage4(xl) 2025-08-14T21:49:38.6129168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6129230Z x = module(x) 2025-08-14T21:49:38.6129405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.6129467Z y = f(x[j]) 2025-08-14T21:49:38.6129469Z 2025-08-14T21:49:38.6129565Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6129750Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6129818Z return mod(*inputs) 2025-08-14T21:49:38.6129994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6130062Z y = self.forward_features(x) 2025-08-14T21:49:38.6130274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6130337Z yl = self.stages(x) 2025-08-14T21:49:38.6130519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6130580Z yl = self.stage4(xl) 2025-08-14T21:49:38.6130755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6130820Z x = module(x) 2025-08-14T21:49:38.6130994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6131051Z y = y + f(x[j]) 2025-08-14T21:49:38.6131062Z 2025-08-14T21:49:38.6131159Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6131362Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6131431Z return mod(*inputs) 2025-08-14T21:49:38.6131608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6131678Z y = self.forward_features(x) 2025-08-14T21:49:38.6131894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6131956Z yl = self.stages(x) 2025-08-14T21:49:38.6132135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6132204Z yl = self.stage4(xl) 2025-08-14T21:49:38.6132392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6132456Z x = module(x) 2025-08-14T21:49:38.6132630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6132689Z y = y + f(x[j]) 2025-08-14T21:49:38.6132692Z 2025-08-14T21:49:38.6132795Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6132982Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6133066Z return mod(*inputs) 2025-08-14T21:49:38.6133255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6133320Z y = self.forward_features(x) 2025-08-14T21:49:38.6133529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6133591Z yl = self.stages(x) 2025-08-14T21:49:38.6133766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6133837Z yl = self.stage4(xl) 2025-08-14T21:49:38.6134013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6134073Z x = module(x) 2025-08-14T21:49:38.6134271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6134331Z y = y + f(x[j]) 2025-08-14T21:49:38.6134334Z 2025-08-14T21:49:38.6134440Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6134635Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6134697Z return mod(*inputs) 2025-08-14T21:49:38.6134889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6134957Z y = self.forward_features(x) 2025-08-14T21:49:38.6135175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6135238Z yl = self.stages(x) 2025-08-14T21:49:38.6135418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6135490Z yl = self.stage4(xl) 2025-08-14T21:49:38.6135674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6135733Z x = module(x) 2025-08-14T21:49:38.6135924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6135985Z y = y + f(x[j]) 2025-08-14T21:49:38.6135988Z 2025-08-14T21:49:38.6136105Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6136292Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6136354Z return mod(*inputs) 2025-08-14T21:49:38.6136538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6136606Z y = self.forward_features(x) 2025-08-14T21:49:38.6136833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6136904Z yl = self.stages(x) 2025-08-14T21:49:38.6137084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6137155Z yl = self.stage4(xl) 2025-08-14T21:49:38.6137335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6137396Z x = module(x) 2025-08-14T21:49:38.6137582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6137640Z y = y + f(x[j]) 2025-08-14T21:49:38.6137643Z 2025-08-14T21:49:38.6137740Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6137937Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6138000Z return mod(*inputs) 2025-08-14T21:49:38.6138188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6138262Z y = self.forward_features(x) 2025-08-14T21:49:38.6138471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6138557Z yl = self.stages(x) 2025-08-14T21:49:38.6138749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6138812Z yl = self.stage4(xl) 2025-08-14T21:49:38.6139001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6139059Z x = module(x) 2025-08-14T21:49:38.6139246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6139306Z y = y + f(x[j]) 2025-08-14T21:49:38.6139310Z 2025-08-14T21:49:38.6139407Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6139606Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6139669Z return mod(*inputs) 2025-08-14T21:49:38.6139863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6139941Z y = self.forward_features(x) 2025-08-14T21:49:38.6140150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6140218Z yl = self.stages(x) 2025-08-14T21:49:38.6140396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6140459Z yl = self.stage4(xl) 2025-08-14T21:49:38.6140646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6140704Z x = module(x) 2025-08-14T21:49:38.6140884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:49:38.6140969Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:49:38.6140973Z 2025-08-14T21:49:38.6141071Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6141271Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6141335Z return mod(*inputs) 2025-08-14T21:49:38.6141517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6141593Z y = self.forward_features(x) 2025-08-14T21:49:38.6141804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6141868Z yl = self.stages(x) 2025-08-14T21:49:38.6142059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6142123Z yl = self.stage4(xl) 2025-08-14T21:49:38.6142315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6142390Z x = module(x) 2025-08-14T21:49:38.6142574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6142645Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6142836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.6142900Z x = self.conv1(x) 2025-08-14T21:49:38.6142903Z 2025-08-14T21:49:38.6143012Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6143210Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6143280Z return mod(*inputs) 2025-08-14T21:49:38.6143466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6143535Z y = self.forward_features(x) 2025-08-14T21:49:38.6143755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6143818Z yl = self.stages(x) 2025-08-14T21:49:38.6144002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6144072Z yl = self.stage4(xl) 2025-08-14T21:49:38.6144342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6144440Z x = module(x) 2025-08-14T21:49:38.6144624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6144688Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6144884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.6144952Z x = self.act1(x) 2025-08-14T21:49:38.6144955Z 2025-08-14T21:49:38.6145062Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6145278Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6145347Z return mod(*inputs) 2025-08-14T21:49:38.6145579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6145664Z y = self.forward_features(x) 2025-08-14T21:49:38.6145872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6145943Z yl = self.stages(x) 2025-08-14T21:49:38.6146122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6146184Z yl = self.stage4(xl) 2025-08-14T21:49:38.6146382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6146437Z x = module(x) 2025-08-14T21:49:38.6146619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6146678Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6146891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.6146966Z x = self.conv2(x) 2025-08-14T21:49:38.6146970Z 2025-08-14T21:49:38.6147078Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6147284Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6147362Z return mod(*inputs) 2025-08-14T21:49:38.6147571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6147652Z y = self.forward_features(x) 2025-08-14T21:49:38.6147878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6147946Z yl = self.stages(x) 2025-08-14T21:49:38.6148145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6148214Z yl = self.stage4(xl) 2025-08-14T21:49:38.6148435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6148512Z x = module(x) 2025-08-14T21:49:38.6148703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6148781Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6148979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.6149046Z x = self.act2(x) 2025-08-14T21:49:38.6149049Z 2025-08-14T21:49:38.6149163Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6149368Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6149434Z return mod(*inputs) 2025-08-14T21:49:38.6149636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6149712Z y = self.forward_features(x) 2025-08-14T21:49:38.6149942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6150012Z yl = self.stages(x) 2025-08-14T21:49:38.6150206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6150315Z yl = self.stage4(xl) 2025-08-14T21:49:38.6150513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6150576Z x = module(x) 2025-08-14T21:49:38.6150783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6150849Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6151055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.6151121Z x = self.conv1(x) 2025-08-14T21:49:38.6151124Z 2025-08-14T21:49:38.6151233Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6151448Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6151529Z return mod(*inputs) 2025-08-14T21:49:38.6151723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6151808Z y = self.forward_features(x) 2025-08-14T21:49:38.6152033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6152108Z yl = self.stages(x) 2025-08-14T21:49:38.6152298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6152367Z yl = self.stage4(xl) 2025-08-14T21:49:38.6152567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6152631Z x = module(x) 2025-08-14T21:49:38.6152825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6152899Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6153098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.6153171Z x = self.act1(x) 2025-08-14T21:49:38.6153176Z 2025-08-14T21:49:38.6153282Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6153497Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6153567Z return mod(*inputs) 2025-08-14T21:49:38.6153743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6153810Z y = self.forward_features(x) 2025-08-14T21:49:38.6154021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6154084Z yl = self.stages(x) 2025-08-14T21:49:38.6154282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6154347Z yl = self.stage4(xl) 2025-08-14T21:49:38.6154530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6154598Z x = module(x) 2025-08-14T21:49:38.6154780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6154841Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6155034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.6155095Z x = self.conv2(x) 2025-08-14T21:49:38.6155098Z 2025-08-14T21:49:38.6155203Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6155393Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6155453Z return mod(*inputs) 2025-08-14T21:49:38.6155642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6155710Z y = self.forward_features(x) 2025-08-14T21:49:38.6155920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6156021Z yl = self.stages(x) 2025-08-14T21:49:38.6156199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6156269Z yl = self.stage4(xl) 2025-08-14T21:49:38.6156449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6156507Z x = module(x) 2025-08-14T21:49:38.6156693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6156752Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6156938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.6157008Z x = self.act2(x) 2025-08-14T21:49:38.6157011Z 2025-08-14T21:49:38.6157110Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6157323Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6157390Z return mod(*inputs) 2025-08-14T21:49:38.6157566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6157642Z y = self.forward_features(x) 2025-08-14T21:49:38.6157847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6157909Z yl = self.stages(x) 2025-08-14T21:49:38.6158092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6158156Z yl = self.stage4(xl) 2025-08-14T21:49:38.6158342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6158401Z x = module(x) 2025-08-14T21:49:38.6158581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6158647Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6158832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.6158895Z x = self.conv1(x) 2025-08-14T21:49:38.6158898Z 2025-08-14T21:49:38.6159003Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6159194Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6159264Z return mod(*inputs) 2025-08-14T21:49:38.6159443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6159512Z y = self.forward_features(x) 2025-08-14T21:49:38.6159741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6159804Z yl = self.stages(x) 2025-08-14T21:49:38.6159983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6160055Z yl = self.stage4(xl) 2025-08-14T21:49:38.6160234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6160300Z x = module(x) 2025-08-14T21:49:38.6160479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6160541Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6160735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.6160795Z x = self.act1(x) 2025-08-14T21:49:38.6160799Z 2025-08-14T21:49:38.6160897Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6161097Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6161160Z return mod(*inputs) 2025-08-14T21:49:38.6161348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6161430Z y = self.forward_features(x) 2025-08-14T21:49:38.6161650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6161719Z yl = self.stages(x) 2025-08-14T21:49:38.6161897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6161959Z yl = self.stage4(xl) 2025-08-14T21:49:38.6162145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6162202Z x = module(x) 2025-08-14T21:49:38.6162388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6162449Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6162635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.6162719Z x = self.conv2(x) 2025-08-14T21:49:38.6162722Z 2025-08-14T21:49:38.6162823Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6163016Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6163085Z return mod(*inputs) 2025-08-14T21:49:38.6163266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6163342Z y = self.forward_features(x) 2025-08-14T21:49:38.6163548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6163612Z yl = self.stages(x) 2025-08-14T21:49:38.6163800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6163864Z yl = self.stage4(xl) 2025-08-14T21:49:38.6164045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6164112Z x = module(x) 2025-08-14T21:49:38.6164291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6164358Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6164542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.6164600Z x = self.act2(x) 2025-08-14T21:49:38.6164604Z 2025-08-14T21:49:38.6164705Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6164897Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6164959Z return mod(*inputs) 2025-08-14T21:49:38.6165146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6165229Z y = self.forward_features(x) 2025-08-14T21:49:38.6165447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6165510Z yl = self.stages(x) 2025-08-14T21:49:38.6165690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6165763Z yl = self.stage4(xl) 2025-08-14T21:49:38.6165942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6165999Z x = module(x) 2025-08-14T21:49:38.6166185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6166245Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6166441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.6166502Z x = self.conv1(x) 2025-08-14T21:49:38.6166505Z 2025-08-14T21:49:38.6166607Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6166806Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6166869Z return mod(*inputs) 2025-08-14T21:49:38.6167067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6167160Z y = self.forward_features(x) 2025-08-14T21:49:38.6167367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6167436Z yl = self.stages(x) 2025-08-14T21:49:38.6167614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6167677Z yl = self.stage4(xl) 2025-08-14T21:49:38.6167861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6167921Z x = module(x) 2025-08-14T21:49:38.6168100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6168169Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6168372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.6168443Z x = self.act1(x) 2025-08-14T21:49:38.6168446Z 2025-08-14T21:49:38.6168544Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6168735Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6168804Z return mod(*inputs) 2025-08-14T21:49:38.6168984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6169052Z y = self.forward_features(x) 2025-08-14T21:49:38.6169267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6169329Z yl = self.stages(x) 2025-08-14T21:49:38.6169515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6169581Z yl = self.stage4(xl) 2025-08-14T21:49:38.6169762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6169831Z x = module(x) 2025-08-14T21:49:38.6170008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6170069Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6170260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.6170321Z x = self.conv2(x) 2025-08-14T21:49:38.6170324Z 2025-08-14T21:49:38.6170429Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6170620Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6170682Z return mod(*inputs) 2025-08-14T21:49:38.6170883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6170954Z y = self.forward_features(x) 2025-08-14T21:49:38.6171161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6171233Z yl = self.stages(x) 2025-08-14T21:49:38.6171408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6171478Z yl = self.stage4(xl) 2025-08-14T21:49:38.6171654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6171713Z x = module(x) 2025-08-14T21:49:38.6171897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6171970Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6172149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.6172217Z x = self.act2(x) 2025-08-14T21:49:38.6172220Z 2025-08-14T21:49:38.6172319Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6172511Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6172600Z return mod(*inputs) 2025-08-14T21:49:38.6172772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6172847Z y = self.forward_features(x) 2025-08-14T21:49:38.6173049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6173116Z yl = self.stages(x) 2025-08-14T21:49:38.6173289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6173352Z yl = self.stage4(xl) 2025-08-14T21:49:38.6173533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6173591Z x = module(x) 2025-08-14T21:49:38.6173777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.6173844Z y = f(x[j]) 2025-08-14T21:49:38.6173848Z 2025-08-14T21:49:38.6173946Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6174142Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6174204Z return mod(*inputs) 2025-08-14T21:49:38.6174381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6174456Z y = self.forward_features(x) 2025-08-14T21:49:38.6174665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6174727Z yl = self.stages(x) 2025-08-14T21:49:38.6174909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6174971Z yl = self.stage4(xl) 2025-08-14T21:49:38.6175157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6175216Z x = module(x) 2025-08-14T21:49:38.6175394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.6175458Z y = f(x[j]) 2025-08-14T21:49:38.6175460Z 2025-08-14T21:49:38.6175558Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6175746Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6175816Z return mod(*inputs) 2025-08-14T21:49:38.6175991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6176065Z y = self.forward_features(x) 2025-08-14T21:49:38.6176285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6176347Z yl = self.stages(x) 2025-08-14T21:49:38.6176526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6176589Z yl = self.stage4(xl) 2025-08-14T21:49:38.6176764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6176830Z x = module(x) 2025-08-14T21:49:38.6177005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.6177061Z y = f(x[j]) 2025-08-14T21:49:38.6177071Z 2025-08-14T21:49:38.6177169Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6177353Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6177421Z return mod(*inputs) 2025-08-14T21:49:38.6177598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6177666Z y = self.forward_features(x) 2025-08-14T21:49:38.6177876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6177964Z yl = self.stages(x) 2025-08-14T21:49:38.6178141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6178203Z yl = self.stage4(xl) 2025-08-14T21:49:38.6178538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6178609Z x = module(x) 2025-08-14T21:49:38.6178784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.6178841Z y = f(x[j]) 2025-08-14T21:49:38.6178845Z 2025-08-14T21:49:38.6178950Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6179138Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6179206Z return mod(*inputs) 2025-08-14T21:49:38.6179420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6179489Z y = self.forward_features(x) 2025-08-14T21:49:38.6179700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6179761Z yl = self.stages(x) 2025-08-14T21:49:38.6179932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6180000Z yl = self.stage4(xl) 2025-08-14T21:49:38.6180175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6180238Z x = module(x) 2025-08-14T21:49:38.6180415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.6180470Z y = f(x[j]) 2025-08-14T21:49:38.6180473Z 2025-08-14T21:49:38.6180575Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6180763Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6180826Z return mod(*inputs) 2025-08-14T21:49:38.6181008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6181076Z y = self.forward_features(x) 2025-08-14T21:49:38.6181287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6181349Z yl = self.stages(x) 2025-08-14T21:49:38.6181524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6181596Z yl = self.stage4(xl) 2025-08-14T21:49:38.6181818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6181877Z x = module(x) 2025-08-14T21:49:38.6182059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.6182115Z y = f(x[j]) 2025-08-14T21:49:38.6182120Z 2025-08-14T21:49:38.6182224Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6182412Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6182476Z return mod(*inputs) 2025-08-14T21:49:38.6182658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6182724Z y = self.forward_features(x) 2025-08-14T21:49:38.6182930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6182998Z yl = self.stages(x) 2025-08-14T21:49:38.6183174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6183242Z yl = self.stage4(xl) 2025-08-14T21:49:38.6183420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6183477Z x = module(x) 2025-08-14T21:49:38.6183679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6183757Z y = y + f(x[j]) 2025-08-14T21:49:38.6183760Z 2025-08-14T21:49:38.6183858Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6184083Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6184151Z return mod(*inputs) 2025-08-14T21:49:38.6184498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6184586Z y = self.forward_features(x) 2025-08-14T21:49:38.6184829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6184904Z yl = self.stages(x) 2025-08-14T21:49:38.6185130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6185203Z yl = self.stage4(xl) 2025-08-14T21:49:38.6185410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6185483Z x = module(x) 2025-08-14T21:49:38.6185675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6185735Z y = y + f(x[j]) 2025-08-14T21:49:38.6185738Z 2025-08-14T21:49:38.6185838Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6186039Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6186103Z return mod(*inputs) 2025-08-14T21:49:38.6186289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6186365Z y = self.forward_features(x) 2025-08-14T21:49:38.6186583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6186656Z yl = self.stages(x) 2025-08-14T21:49:38.6186837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6186901Z yl = self.stage4(xl) 2025-08-14T21:49:38.6187089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6187147Z x = module(x) 2025-08-14T21:49:38.6187336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6187399Z y = y + f(x[j]) 2025-08-14T21:49:38.6187402Z 2025-08-14T21:49:38.6187498Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6187706Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6187769Z return mod(*inputs) 2025-08-14T21:49:38.6187949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6188025Z y = self.forward_features(x) 2025-08-14T21:49:38.6188236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6188298Z yl = self.stages(x) 2025-08-14T21:49:38.6188487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6188550Z yl = self.stage4(xl) 2025-08-14T21:49:38.6188739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6188797Z x = module(x) 2025-08-14T21:49:38.6188981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6189047Z y = y + f(x[j]) 2025-08-14T21:49:38.6189051Z 2025-08-14T21:49:38.6189150Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6189341Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6189430Z return mod(*inputs) 2025-08-14T21:49:38.6189630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6189705Z y = self.forward_features(x) 2025-08-14T21:49:38.6189911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6189972Z yl = self.stages(x) 2025-08-14T21:49:38.6190154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6190217Z yl = self.stage4(xl) 2025-08-14T21:49:38.6190394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6190463Z x = module(x) 2025-08-14T21:49:38.6190655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:49:38.6190741Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:49:38.6190745Z 2025-08-14T21:49:38.6190842Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6191031Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6191100Z return mod(*inputs) 2025-08-14T21:49:38.6191277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6191344Z y = self.forward_features(x) 2025-08-14T21:49:38.6191558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6191620Z yl = self.stages(x) 2025-08-14T21:49:38.6191804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6191867Z yl = self.stage4(xl) 2025-08-14T21:49:38.6192045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6192109Z x = module(x) 2025-08-14T21:49:38.6192289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6192351Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6192540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.6192602Z x = self.conv1(x) 2025-08-14T21:49:38.6192605Z 2025-08-14T21:49:38.6192709Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6192897Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6192960Z return mod(*inputs) 2025-08-14T21:49:38.6193159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6193228Z y = self.forward_features(x) 2025-08-14T21:49:38.6193437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6193507Z yl = self.stages(x) 2025-08-14T21:49:38.6193685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6193755Z yl = self.stage4(xl) 2025-08-14T21:49:38.6193932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6193989Z x = module(x) 2025-08-14T21:49:38.6194172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6194233Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6194416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.6194484Z x = self.act1(x) 2025-08-14T21:49:38.6194489Z 2025-08-14T21:49:38.6194587Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6194785Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6194864Z return mod(*inputs) 2025-08-14T21:49:38.6195057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6195134Z y = self.forward_features(x) 2025-08-14T21:49:38.6195342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6195405Z yl = self.stages(x) 2025-08-14T21:49:38.6195590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6195654Z yl = self.stage4(xl) 2025-08-14T21:49:38.6195841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6195902Z x = module(x) 2025-08-14T21:49:38.6196080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6196162Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6196348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.6196413Z x = self.conv2(x) 2025-08-14T21:49:38.6196423Z 2025-08-14T21:49:38.6196523Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6196710Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6196780Z return mod(*inputs) 2025-08-14T21:49:38.6196958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6197027Z y = self.forward_features(x) 2025-08-14T21:49:38.6197240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6197304Z yl = self.stages(x) 2025-08-14T21:49:38.6197483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6197553Z yl = self.stage4(xl) 2025-08-14T21:49:38.6197733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6197801Z x = module(x) 2025-08-14T21:49:38.6197978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6198039Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6198231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.6198291Z x = self.act2(x) 2025-08-14T21:49:38.6198294Z 2025-08-14T21:49:38.6198392Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6198589Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6198677Z return mod(*inputs) 2025-08-14T21:49:38.6198856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6198921Z y = self.forward_features(x) 2025-08-14T21:49:38.6199121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6199190Z yl = self.stages(x) 2025-08-14T21:49:38.6199359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6199419Z yl = self.stage4(xl) 2025-08-14T21:49:38.6199595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6199651Z x = module(x) 2025-08-14T21:49:38.6199826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6199884Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6200059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.6200125Z x = self.conv1(x) 2025-08-14T21:49:38.6200128Z 2025-08-14T21:49:38.6200222Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6200418Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6200501Z return mod(*inputs) 2025-08-14T21:49:38.6200677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6200749Z y = self.forward_features(x) 2025-08-14T21:49:38.6200953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6201013Z yl = self.stages(x) 2025-08-14T21:49:38.6201193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6201256Z yl = self.stage4(xl) 2025-08-14T21:49:38.6201432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6201498Z x = module(x) 2025-08-14T21:49:38.6201687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6201758Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6201937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.6201997Z x = self.act1(x) 2025-08-14T21:49:38.6202000Z 2025-08-14T21:49:38.6202102Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6202289Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6202350Z return mod(*inputs) 2025-08-14T21:49:38.6202532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6202598Z y = self.forward_features(x) 2025-08-14T21:49:38.6202810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6202872Z yl = self.stages(x) 2025-08-14T21:49:38.6203045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6203117Z yl = self.stage4(xl) 2025-08-14T21:49:38.6203291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6203348Z x = module(x) 2025-08-14T21:49:38.6203538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6203595Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6203776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.6203835Z x = self.conv2(x) 2025-08-14T21:49:38.6203838Z 2025-08-14T21:49:38.6203948Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6204135Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6204196Z return mod(*inputs) 2025-08-14T21:49:38.6204368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6204441Z y = self.forward_features(x) 2025-08-14T21:49:38.6204641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6204706Z yl = self.stages(x) 2025-08-14T21:49:38.6204874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6204934Z yl = self.stage4(xl) 2025-08-14T21:49:38.6205111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6205167Z x = module(x) 2025-08-14T21:49:38.6205338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6205403Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6205583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.6205662Z x = self.act2(x) 2025-08-14T21:49:38.6205683Z 2025-08-14T21:49:38.6205779Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6205962Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6206029Z return mod(*inputs) 2025-08-14T21:49:38.6206204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6206278Z y = self.forward_features(x) 2025-08-14T21:49:38.6206481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6206541Z yl = self.stages(x) 2025-08-14T21:49:38.6206721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6206784Z yl = self.stage4(xl) 2025-08-14T21:49:38.6206972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6207040Z x = module(x) 2025-08-14T21:49:38.6207217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6207278Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6207475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.6207534Z x = self.conv1(x) 2025-08-14T21:49:38.6207537Z 2025-08-14T21:49:38.6207639Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6207821Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6207881Z return mod(*inputs) 2025-08-14T21:49:38.6208059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6208124Z y = self.forward_features(x) 2025-08-14T21:49:38.6208326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6208389Z yl = self.stages(x) 2025-08-14T21:49:38.6208559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6208628Z yl = self.stage4(xl) 2025-08-14T21:49:38.6208797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6208852Z x = module(x) 2025-08-14T21:49:38.6209029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6209088Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6209263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.6209345Z x = self.act1(x) 2025-08-14T21:49:38.6209348Z 2025-08-14T21:49:38.6209443Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6209631Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6209693Z return mod(*inputs) 2025-08-14T21:49:38.6209863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6209936Z y = self.forward_features(x) 2025-08-14T21:49:38.6210130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6210197Z yl = self.stages(x) 2025-08-14T21:49:38.6210362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6210421Z yl = self.stage4(xl) 2025-08-14T21:49:38.6210597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6210653Z x = module(x) 2025-08-14T21:49:38.6210822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6210888Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6211086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.6211161Z x = self.conv2(x) 2025-08-14T21:49:38.6211171Z 2025-08-14T21:49:38.6211265Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6211446Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6211512Z return mod(*inputs) 2025-08-14T21:49:38.6211684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6211748Z y = self.forward_features(x) 2025-08-14T21:49:38.6211957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6212018Z yl = self.stages(x) 2025-08-14T21:49:38.6212208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6212271Z yl = self.stage4(xl) 2025-08-14T21:49:38.6212441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6212504Z x = module(x) 2025-08-14T21:49:38.6212675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6212732Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6212915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.6212972Z x = self.act2(x) 2025-08-14T21:49:38.6212976Z 2025-08-14T21:49:38.6213074Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6213256Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6213316Z return mod(*inputs) 2025-08-14T21:49:38.6213492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6213558Z y = self.forward_features(x) 2025-08-14T21:49:38.6213756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6213826Z yl = self.stages(x) 2025-08-14T21:49:38.6213992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6214060Z yl = self.stage4(xl) 2025-08-14T21:49:38.6214231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6214286Z x = module(x) 2025-08-14T21:49:38.6214463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6214522Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6214712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.6214779Z x = self.conv1(x) 2025-08-14T21:49:38.6214782Z 2025-08-14T21:49:38.6214876Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6215066Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6215125Z return mod(*inputs) 2025-08-14T21:49:38.6215295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6215366Z y = self.forward_features(x) 2025-08-14T21:49:38.6215564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6215623Z yl = self.stages(x) 2025-08-14T21:49:38.6215798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6215859Z yl = self.stage4(xl) 2025-08-14T21:49:38.6216034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6216091Z x = module(x) 2025-08-14T21:49:38.6216259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6216354Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6216529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.6216588Z x = self.act1(x) 2025-08-14T21:49:38.6216591Z 2025-08-14T21:49:38.6216692Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6216877Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6216945Z return mod(*inputs) 2025-08-14T21:49:38.6217118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6217188Z y = self.forward_features(x) 2025-08-14T21:49:38.6217395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6217471Z yl = self.stages(x) 2025-08-14T21:49:38.6217643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6217715Z yl = self.stage4(xl) 2025-08-14T21:49:38.6217889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6217954Z x = module(x) 2025-08-14T21:49:38.6218128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6218189Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6218375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.6218435Z x = self.conv2(x) 2025-08-14T21:49:38.6218438Z 2025-08-14T21:49:38.6218535Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6218729Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6218792Z return mod(*inputs) 2025-08-14T21:49:38.6218972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6219042Z y = self.forward_features(x) 2025-08-14T21:49:38.6219242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6219311Z yl = self.stages(x) 2025-08-14T21:49:38.6219481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6219543Z yl = self.stage4(xl) 2025-08-14T21:49:38.6219724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6219780Z x = module(x) 2025-08-14T21:49:38.6219974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6220035Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6220218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.6220286Z x = self.act2(x) 2025-08-14T21:49:38.6220290Z 2025-08-14T21:49:38.6220386Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6220573Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6220642Z return mod(*inputs) 2025-08-14T21:49:38.6220819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6220894Z y = self.forward_features(x) 2025-08-14T21:49:38.6221096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6221155Z yl = self.stages(x) 2025-08-14T21:49:38.6221337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6221398Z yl = self.stage4(xl) 2025-08-14T21:49:38.6221576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6221669Z x = module(x) 2025-08-14T21:49:38.6221846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6221911Z y = y + f(x[j]) 2025-08-14T21:49:38.6221914Z 2025-08-14T21:49:38.6222010Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6222196Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6222265Z return mod(*inputs) 2025-08-14T21:49:38.6222442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6222508Z y = self.forward_features(x) 2025-08-14T21:49:38.6222719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6222794Z yl = self.stages(x) 2025-08-14T21:49:38.6222972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6223038Z yl = self.stage4(xl) 2025-08-14T21:49:38.6223209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6223274Z x = module(x) 2025-08-14T21:49:38.6223448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6223505Z y = y + f(x[j]) 2025-08-14T21:49:38.6223508Z 2025-08-14T21:49:38.6223610Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6223797Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6223865Z return mod(*inputs) 2025-08-14T21:49:38.6224041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6224109Z y = self.forward_features(x) 2025-08-14T21:49:38.6224385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6224455Z yl = self.stages(x) 2025-08-14T21:49:38.6224628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6224701Z yl = self.stage4(xl) 2025-08-14T21:49:38.6224896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6224967Z x = module(x) 2025-08-14T21:49:38.6225172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6225236Z y = y + f(x[j]) 2025-08-14T21:49:38.6225240Z 2025-08-14T21:49:38.6225376Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6225591Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6225659Z return mod(*inputs) 2025-08-14T21:49:38.6225854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6225929Z y = self.forward_features(x) 2025-08-14T21:49:38.6226159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6226222Z yl = self.stages(x) 2025-08-14T21:49:38.6226403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6226474Z yl = self.stage4(xl) 2025-08-14T21:49:38.6226656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6226713Z x = module(x) 2025-08-14T21:49:38.6226905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.6226963Z y = f(x[j]) 2025-08-14T21:49:38.6226967Z 2025-08-14T21:49:38.6227072Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6227260Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6227351Z return mod(*inputs) 2025-08-14T21:49:38.6227542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6227608Z y = self.forward_features(x) 2025-08-14T21:49:38.6227826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6227896Z yl = self.stages(x) 2025-08-14T21:49:38.6228074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6228145Z yl = self.stage4(xl) 2025-08-14T21:49:38.6228330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6228388Z x = module(x) 2025-08-14T21:49:38.6228593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.6228651Z y = f(x[j]) 2025-08-14T21:49:38.6228656Z 2025-08-14T21:49:38.6228755Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6228951Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6229013Z return mod(*inputs) 2025-08-14T21:49:38.6229205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6229273Z y = self.forward_features(x) 2025-08-14T21:49:38.6229485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6229555Z yl = self.stages(x) 2025-08-14T21:49:38.6229736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6229801Z yl = self.stage4(xl) 2025-08-14T21:49:38.6229992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6230052Z x = module(x) 2025-08-14T21:49:38.6230244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.6230303Z y = f(x[j]) 2025-08-14T21:49:38.6230306Z 2025-08-14T21:49:38.6230406Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6230607Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6230671Z return mod(*inputs) 2025-08-14T21:49:38.6230853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6230930Z y = self.forward_features(x) 2025-08-14T21:49:38.6231162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6231232Z yl = self.stages(x) 2025-08-14T21:49:38.6231411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6231478Z yl = self.stage4(xl) 2025-08-14T21:49:38.6231669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6231727Z x = module(x) 2025-08-14T21:49:38.6231906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6231976Z y = y + f(x[j]) 2025-08-14T21:49:38.6231979Z 2025-08-14T21:49:38.6232078Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6232277Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6232340Z return mod(*inputs) 2025-08-14T21:49:38.6232521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6232596Z y = self.forward_features(x) 2025-08-14T21:49:38.6232806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6232904Z yl = self.stages(x) 2025-08-14T21:49:38.6233089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6233153Z yl = self.stage4(xl) 2025-08-14T21:49:38.6233337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6233395Z x = module(x) 2025-08-14T21:49:38.6233573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6233634Z y = y + f(x[j]) 2025-08-14T21:49:38.6233637Z 2025-08-14T21:49:38.6233737Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6233925Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6233993Z return mod(*inputs) 2025-08-14T21:49:38.6234184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6234260Z y = self.forward_features(x) 2025-08-14T21:49:38.6234470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6234532Z yl = self.stages(x) 2025-08-14T21:49:38.6234720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6234784Z yl = self.stage4(xl) 2025-08-14T21:49:38.6234964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6235029Z x = module(x) 2025-08-14T21:49:38.6235209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6235275Z y = y + f(x[j]) 2025-08-14T21:49:38.6235278Z 2025-08-14T21:49:38.6235379Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6235569Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6235642Z return mod(*inputs) 2025-08-14T21:49:38.6235823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6235890Z y = self.forward_features(x) 2025-08-14T21:49:38.6236108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6236170Z yl = self.stages(x) 2025-08-14T21:49:38.6236356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6236420Z yl = self.stage4(xl) 2025-08-14T21:49:38.6236614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6236682Z x = module(x) 2025-08-14T21:49:38.6236866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6236924Z y = y + f(x[j]) 2025-08-14T21:49:38.6236936Z 2025-08-14T21:49:38.6237037Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6237229Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6237300Z return mod(*inputs) 2025-08-14T21:49:38.6237478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6237544Z y = self.forward_features(x) 2025-08-14T21:49:38.6237755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6237816Z yl = self.stages(x) 2025-08-14T21:49:38.6237994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6238064Z yl = self.stage4(xl) 2025-08-14T21:49:38.6238245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6238325Z x = module(x) 2025-08-14T21:49:38.6238522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:49:38.6238600Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:49:38.6238604Z 2025-08-14T21:49:38.6238712Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6238904Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6238974Z return mod(*inputs) 2025-08-14T21:49:38.6239164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6239231Z y = self.forward_features(x) 2025-08-14T21:49:38.6239445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6239507Z yl = self.stages(x) 2025-08-14T21:49:38.6239699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6239771Z yl = self.stage4(xl) 2025-08-14T21:49:38.6239951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6240008Z x = module(x) 2025-08-14T21:49:38.6240193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6240255Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6240446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.6240509Z x = self.conv1(x) 2025-08-14T21:49:38.6240511Z 2025-08-14T21:49:38.6240611Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6240810Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6240874Z return mod(*inputs) 2025-08-14T21:49:38.6241061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6241130Z y = self.forward_features(x) 2025-08-14T21:49:38.6241336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6241407Z yl = self.stages(x) 2025-08-14T21:49:38.6241588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6241652Z yl = self.stage4(xl) 2025-08-14T21:49:38.6241841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6241900Z x = module(x) 2025-08-14T21:49:38.6242081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6242165Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6242350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.6242419Z x = self.act1(x) 2025-08-14T21:49:38.6242423Z 2025-08-14T21:49:38.6242522Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6242712Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6242782Z return mod(*inputs) 2025-08-14T21:49:38.6242963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6243040Z y = self.forward_features(x) 2025-08-14T21:49:38.6243248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6243311Z yl = self.stages(x) 2025-08-14T21:49:38.6243496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6243560Z yl = self.stage4(xl) 2025-08-14T21:49:38.6243740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6243803Z x = module(x) 2025-08-14T21:49:38.6243993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6244069Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6244265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.6244327Z x = self.conv2(x) 2025-08-14T21:49:38.6244330Z 2025-08-14T21:49:38.6244438Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6244630Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6244692Z return mod(*inputs) 2025-08-14T21:49:38.6244881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6244949Z y = self.forward_features(x) 2025-08-14T21:49:38.6245183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6245249Z yl = self.stages(x) 2025-08-14T21:49:38.6245428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6245499Z yl = self.stage4(xl) 2025-08-14T21:49:38.6245681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6245739Z x = module(x) 2025-08-14T21:49:38.6245925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6245986Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6246170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.6246237Z x = self.act2(x) 2025-08-14T21:49:38.6246241Z 2025-08-14T21:49:38.6246341Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6246538Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6246601Z return mod(*inputs) 2025-08-14T21:49:38.6246783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6246860Z y = self.forward_features(x) 2025-08-14T21:49:38.6247069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6247138Z yl = self.stages(x) 2025-08-14T21:49:38.6247316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6247380Z yl = self.stage4(xl) 2025-08-14T21:49:38.6247568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6247666Z x = module(x) 2025-08-14T21:49:38.6247846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6247917Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6248100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.6248164Z x = self.conv1(x) 2025-08-14T21:49:38.6248174Z 2025-08-14T21:49:38.6248273Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6248465Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6248534Z return mod(*inputs) 2025-08-14T21:49:38.6248716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6248784Z y = self.forward_features(x) 2025-08-14T21:49:38.6248999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6249062Z yl = self.stages(x) 2025-08-14T21:49:38.6249246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6249312Z yl = self.stage4(xl) 2025-08-14T21:49:38.6249488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6249583Z x = module(x) 2025-08-14T21:49:38.6249764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6249827Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6250021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.6250083Z x = self.act1(x) 2025-08-14T21:49:38.6250086Z 2025-08-14T21:49:38.6250194Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6250386Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6250451Z return mod(*inputs) 2025-08-14T21:49:38.6250636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6250726Z y = self.forward_features(x) 2025-08-14T21:49:38.6250934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6251007Z yl = self.stages(x) 2025-08-14T21:49:38.6251181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6251250Z yl = self.stage4(xl) 2025-08-14T21:49:38.6251428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6251486Z x = module(x) 2025-08-14T21:49:38.6251669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6251729Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6251914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.6251983Z x = self.conv2(x) 2025-08-14T21:49:38.6251986Z 2025-08-14T21:49:38.6252085Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6252283Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6252347Z return mod(*inputs) 2025-08-14T21:49:38.6252526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6252599Z y = self.forward_features(x) 2025-08-14T21:49:38.6252807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6252869Z yl = self.stages(x) 2025-08-14T21:49:38.6253055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6253119Z yl = self.stage4(xl) 2025-08-14T21:49:38.6253318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6253377Z x = module(x) 2025-08-14T21:49:38.6253556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6253628Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6253811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.6253871Z x = self.act2(x) 2025-08-14T21:49:38.6253874Z 2025-08-14T21:49:38.6253988Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6254172Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6254240Z return mod(*inputs) 2025-08-14T21:49:38.6254412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6254481Z y = self.forward_features(x) 2025-08-14T21:49:38.6254689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6254753Z yl = self.stages(x) 2025-08-14T21:49:38.6254923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6255022Z yl = self.stage4(xl) 2025-08-14T21:49:38.6255197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6255262Z x = module(x) 2025-08-14T21:49:38.6255435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6255495Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6255682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.6255743Z x = self.conv1(x) 2025-08-14T21:49:38.6255746Z 2025-08-14T21:49:38.6255841Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6256036Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6256112Z return mod(*inputs) 2025-08-14T21:49:38.6256291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6256360Z y = self.forward_features(x) 2025-08-14T21:49:38.6256560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6256627Z yl = self.stages(x) 2025-08-14T21:49:38.6256798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6256859Z yl = self.stage4(xl) 2025-08-14T21:49:38.6257039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6257097Z x = module(x) 2025-08-14T21:49:38.6257275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6257334Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6257513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.6257579Z x = self.act1(x) 2025-08-14T21:49:38.6257584Z 2025-08-14T21:49:38.6257681Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6257863Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6257931Z return mod(*inputs) 2025-08-14T21:49:38.6258102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6258176Z y = self.forward_features(x) 2025-08-14T21:49:38.6258377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6258437Z yl = self.stages(x) 2025-08-14T21:49:38.6258629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6258694Z yl = self.stage4(xl) 2025-08-14T21:49:38.6258869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6258936Z x = module(x) 2025-08-14T21:49:38.6259112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6259180Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6259361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.6259420Z x = self.conv2(x) 2025-08-14T21:49:38.6259423Z 2025-08-14T21:49:38.6259529Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6259717Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6259776Z return mod(*inputs) 2025-08-14T21:49:38.6259962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6260029Z y = self.forward_features(x) 2025-08-14T21:49:38.6260242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6260318Z yl = self.stages(x) 2025-08-14T21:49:38.6260502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6260570Z yl = self.stage4(xl) 2025-08-14T21:49:38.6260743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6260800Z x = module(x) 2025-08-14T21:49:38.6260982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6261042Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6261229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.6261288Z x = self.act2(x) 2025-08-14T21:49:38.6261292Z 2025-08-14T21:49:38.6261388Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6261592Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6261654Z return mod(*inputs) 2025-08-14T21:49:38.6261832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6261906Z y = self.forward_features(x) 2025-08-14T21:49:38.6262109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6262177Z yl = self.stages(x) 2025-08-14T21:49:38.6262351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6262412Z yl = self.stage4(xl) 2025-08-14T21:49:38.6262594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6262653Z x = module(x) 2025-08-14T21:49:38.6262828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6262893Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6263075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.6263144Z x = self.conv1(x) 2025-08-14T21:49:38.6263147Z 2025-08-14T21:49:38.6263242Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6263427Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6263495Z return mod(*inputs) 2025-08-14T21:49:38.6263668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6263735Z y = self.forward_features(x) 2025-08-14T21:49:38.6263961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6264022Z yl = self.stages(x) 2025-08-14T21:49:38.6264336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6264406Z yl = self.stage4(xl) 2025-08-14T21:49:38.6264586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6264658Z x = module(x) 2025-08-14T21:49:38.6264871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6264937Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6265152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.6265227Z x = self.act1(x) 2025-08-14T21:49:38.6265230Z 2025-08-14T21:49:38.6265343Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6265540Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6265606Z return mod(*inputs) 2025-08-14T21:49:38.6265799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6265870Z y = self.forward_features(x) 2025-08-14T21:49:38.6266103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6266192Z yl = self.stages(x) 2025-08-14T21:49:38.6266377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6266450Z yl = self.stage4(xl) 2025-08-14T21:49:38.6266643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6266700Z x = module(x) 2025-08-14T21:49:38.6266881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6266941Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6267120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.6267191Z x = self.conv2(x) 2025-08-14T21:49:38.6267237Z 2025-08-14T21:49:38.6267336Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6267531Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6267595Z return mod(*inputs) 2025-08-14T21:49:38.6267774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6267852Z y = self.forward_features(x) 2025-08-14T21:49:38.6268057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6268120Z yl = self.stages(x) 2025-08-14T21:49:38.6268301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6268365Z yl = self.stage4(xl) 2025-08-14T21:49:38.6268549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6268609Z x = module(x) 2025-08-14T21:49:38.6268785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6268858Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6269038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.6269099Z x = self.act2(x) 2025-08-14T21:49:38.6269103Z 2025-08-14T21:49:38.6269210Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6269399Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6269470Z return mod(*inputs) 2025-08-14T21:49:38.6269650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6269736Z y = self.forward_features(x) 2025-08-14T21:49:38.6269946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6270008Z yl = self.stages(x) 2025-08-14T21:49:38.6270180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6270252Z yl = self.stage4(xl) 2025-08-14T21:49:38.6270424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6270488Z x = module(x) 2025-08-14T21:49:38.6270659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6270716Z y = y + f(x[j]) 2025-08-14T21:49:38.6270719Z 2025-08-14T21:49:38.6270822Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6271008Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6271071Z return mod(*inputs) 2025-08-14T21:49:38.6271253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6271321Z y = self.forward_features(x) 2025-08-14T21:49:38.6271532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6271629Z yl = self.stages(x) 2025-08-14T21:49:38.6271806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6271875Z yl = self.stage4(xl) 2025-08-14T21:49:38.6272054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6272110Z x = module(x) 2025-08-14T21:49:38.6272295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6272354Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6272547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.6272607Z x = self.conv1(x) 2025-08-14T21:49:38.6272610Z 2025-08-14T21:49:38.6272721Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6272913Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6272976Z return mod(*inputs) 2025-08-14T21:49:38.6273147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6273223Z y = self.forward_features(x) 2025-08-14T21:49:38.6273420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6273485Z yl = self.stages(x) 2025-08-14T21:49:38.6273654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6273716Z yl = self.stage4(xl) 2025-08-14T21:49:38.6273897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6273953Z x = module(x) 2025-08-14T21:49:38.6274129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6274197Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6274378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.6274441Z x = self.act1(x) 2025-08-14T21:49:38.6274444Z 2025-08-14T21:49:38.6274539Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6274721Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6274791Z return mod(*inputs) 2025-08-14T21:49:38.6274964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6275030Z y = self.forward_features(x) 2025-08-14T21:49:38.6275255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6275317Z yl = self.stages(x) 2025-08-14T21:49:38.6275496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6275561Z yl = self.stage4(xl) 2025-08-14T21:49:38.6275738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6275802Z x = module(x) 2025-08-14T21:49:38.6275977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6276037Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6276225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.6276285Z x = self.conv2(x) 2025-08-14T21:49:38.6276287Z 2025-08-14T21:49:38.6276390Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6276574Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6276636Z return mod(*inputs) 2025-08-14T21:49:38.6276817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6276913Z y = self.forward_features(x) 2025-08-14T21:49:38.6277118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6277186Z yl = self.stages(x) 2025-08-14T21:49:38.6277360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6277427Z yl = self.stage4(xl) 2025-08-14T21:49:38.6277602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6277658Z x = module(x) 2025-08-14T21:49:38.6277841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6277902Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6278097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.6278164Z x = self.act2(x) 2025-08-14T21:49:38.6278169Z 2025-08-14T21:49:38.6278266Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6278645Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6278713Z return mod(*inputs) 2025-08-14T21:49:38.6278889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6278965Z y = self.forward_features(x) 2025-08-14T21:49:38.6279179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6279240Z yl = self.stages(x) 2025-08-14T21:49:38.6279424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6279487Z yl = self.stage4(xl) 2025-08-14T21:49:38.6279671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6279729Z x = module(x) 2025-08-14T21:49:38.6279903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6279978Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6280159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.6280220Z x = self.conv1(x) 2025-08-14T21:49:38.6280223Z 2025-08-14T21:49:38.6280328Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6280512Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6280580Z return mod(*inputs) 2025-08-14T21:49:38.6280787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6280856Z y = self.forward_features(x) 2025-08-14T21:49:38.6281069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6281133Z yl = self.stages(x) 2025-08-14T21:49:38.6281306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6281375Z yl = self.stage4(xl) 2025-08-14T21:49:38.6281549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6281612Z x = module(x) 2025-08-14T21:49:38.6281786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6281846Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6282033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.6282094Z x = self.act1(x) 2025-08-14T21:49:38.6282098Z 2025-08-14T21:49:38.6282194Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6282387Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6282472Z return mod(*inputs) 2025-08-14T21:49:38.6282672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6282739Z y = self.forward_features(x) 2025-08-14T21:49:38.6282940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6283007Z yl = self.stages(x) 2025-08-14T21:49:38.6283179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6283240Z yl = self.stage4(xl) 2025-08-14T21:49:38.6283419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6283478Z x = module(x) 2025-08-14T21:49:38.6283656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6283734Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6283912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.6283981Z x = self.conv2(x) 2025-08-14T21:49:38.6283984Z 2025-08-14T21:49:38.6284079Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6284264Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6284333Z return mod(*inputs) 2025-08-14T21:49:38.6284507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6284578Z y = self.forward_features(x) 2025-08-14T21:49:38.6284781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6284842Z yl = self.stages(x) 2025-08-14T21:49:38.6285021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6285081Z yl = self.stage4(xl) 2025-08-14T21:49:38.6285253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6285317Z x = module(x) 2025-08-14T21:49:38.6285486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6285553Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6285730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.6285789Z x = self.act2(x) 2025-08-14T21:49:38.6285792Z 2025-08-14T21:49:38.6285898Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6286105Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6286168Z return mod(*inputs) 2025-08-14T21:49:38.6286354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6286420Z y = self.forward_features(x) 2025-08-14T21:49:38.6286634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6286698Z yl = self.stages(x) 2025-08-14T21:49:38.6286874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6286945Z yl = self.stage4(xl) 2025-08-14T21:49:38.6287134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6287192Z x = module(x) 2025-08-14T21:49:38.6287374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6287435Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6287623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.6287684Z x = self.conv1(x) 2025-08-14T21:49:38.6287688Z 2025-08-14T21:49:38.6287787Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6287995Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6288072Z return mod(*inputs) 2025-08-14T21:49:38.6288251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6288325Z y = self.forward_features(x) 2025-08-14T21:49:38.6288526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6288595Z yl = self.stages(x) 2025-08-14T21:49:38.6288770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6288829Z yl = self.stage4(xl) 2025-08-14T21:49:38.6289012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6289082Z x = module(x) 2025-08-14T21:49:38.6289259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6289326Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6289502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.6289566Z x = self.act1(x) 2025-08-14T21:49:38.6289569Z 2025-08-14T21:49:38.6289666Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6289848Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6289917Z return mod(*inputs) 2025-08-14T21:49:38.6290092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6290160Z y = self.forward_features(x) 2025-08-14T21:49:38.6290371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6290432Z yl = self.stages(x) 2025-08-14T21:49:38.6290613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6290678Z yl = self.stage4(xl) 2025-08-14T21:49:38.6290851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6290915Z x = module(x) 2025-08-14T21:49:38.6291089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6291149Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6291335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.6291395Z x = self.conv2(x) 2025-08-14T21:49:38.6291398Z 2025-08-14T21:49:38.6291515Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6291700Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6291762Z return mod(*inputs) 2025-08-14T21:49:38.6291946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6292017Z y = self.forward_features(x) 2025-08-14T21:49:38.6292230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6292293Z yl = self.stages(x) 2025-08-14T21:49:38.6292470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6292539Z yl = self.stage4(xl) 2025-08-14T21:49:38.6292717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6292774Z x = module(x) 2025-08-14T21:49:38.6292960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6293020Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6293203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 127, in forward 2025-08-14T21:49:38.6293290Z x = self.act2(x) 2025-08-14T21:49:38.6293312Z 2025-08-14T21:49:38.6293414Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6293607Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6293671Z return mod(*inputs) 2025-08-14T21:49:38.6293847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6293923Z y = self.forward_features(x) 2025-08-14T21:49:38.6294130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6294201Z yl = self.stages(x) 2025-08-14T21:49:38.6294380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6294443Z yl = self.stage4(xl) 2025-08-14T21:49:38.6294642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6294704Z x = module(x) 2025-08-14T21:49:38.6294888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6294957Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6295144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 109, in forward 2025-08-14T21:49:38.6295205Z x = self.conv1(x) 2025-08-14T21:49:38.6295217Z 2025-08-14T21:49:38.6295316Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6295510Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6295578Z return mod(*inputs) 2025-08-14T21:49:38.6295761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6295829Z y = self.forward_features(x) 2025-08-14T21:49:38.6296047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6296112Z yl = self.stages(x) 2025-08-14T21:49:38.6296298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6296362Z yl = self.stage4(xl) 2025-08-14T21:49:38.6296543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6296607Z x = module(x) 2025-08-14T21:49:38.6296793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6296852Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6297041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 112, in forward 2025-08-14T21:49:38.6297115Z x = self.act1(x) 2025-08-14T21:49:38.6297118Z 2025-08-14T21:49:38.6297221Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6297411Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6297477Z return mod(*inputs) 2025-08-14T21:49:38.6297660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6297728Z y = self.forward_features(x) 2025-08-14T21:49:38.6297934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6298002Z yl = self.stages(x) 2025-08-14T21:49:38.6298177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6298245Z yl = self.stage4(xl) 2025-08-14T21:49:38.6298424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6298481Z x = module(x) 2025-08-14T21:49:38.6298665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 475, in forward 2025-08-14T21:49:38.6298726Z x[i] = branch(x[i]) 2025-08-14T21:49:38.6298930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 115, in forward 2025-08-14T21:49:38.6299014Z x = self.conv2(x) 2025-08-14T21:49:38.6299018Z 2025-08-14T21:49:38.6299117Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6299315Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6299378Z return mod(*inputs) 2025-08-14T21:49:38.6299558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6299633Z y = self.forward_features(x) 2025-08-14T21:49:38.6299845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:49:38.6299924Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:49:38.6300134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 209, in forward 2025-08-14T21:49:38.6300199Z x = self.conv1(x) 2025-08-14T21:49:38.6300203Z 2025-08-14T21:49:38.6300308Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6300499Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6300560Z return mod(*inputs) 2025-08-14T21:49:38.6300749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6300818Z y = self.forward_features(x) 2025-08-14T21:49:38.6301029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:49:38.6301113Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:49:38.6301302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 211, in forward 2025-08-14T21:49:38.6301369Z x = self.act1(x) 2025-08-14T21:49:38.6301374Z 2025-08-14T21:49:38.6301475Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6301670Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6301742Z return mod(*inputs) 2025-08-14T21:49:38.6301925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6301993Z y = self.forward_features(x) 2025-08-14T21:49:38.6302211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:49:38.6302284Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:49:38.6302479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 213, in forward 2025-08-14T21:49:38.6302559Z x = self.conv2(x) 2025-08-14T21:49:38.6302562Z 2025-08-14T21:49:38.6302664Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6302861Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6302928Z return mod(*inputs) 2025-08-14T21:49:38.6303109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6303187Z y = self.forward_features(x) 2025-08-14T21:49:38.6303393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:49:38.6303472Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:49:38.6303660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 216, in forward 2025-08-14T21:49:38.6303723Z x = self.act2(x) 2025-08-14T21:49:38.6303726Z 2025-08-14T21:49:38.6303834Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6304045Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6304124Z return mod(*inputs) 2025-08-14T21:49:38.6304400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6304516Z y = self.forward_features(x) 2025-08-14T21:49:38.6304755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:49:38.6304833Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:49:38.6305039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 219, in forward 2025-08-14T21:49:38.6305116Z x = self.conv3(x) 2025-08-14T21:49:38.6305120Z 2025-08-14T21:49:38.6305239Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6305442Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6305510Z return mod(*inputs) 2025-08-14T21:49:38.6305697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6305794Z y = self.forward_features(x) 2025-08-14T21:49:38.6306005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:49:38.6306081Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:49:38.6306280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 229, in forward 2025-08-14T21:49:38.6306366Z shortcut = self.downsample(shortcut) 2025-08-14T21:49:38.6306370Z 2025-08-14T21:49:38.6306478Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6306681Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6306744Z return mod(*inputs) 2025-08-14T21:49:38.6306928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6306996Z y = self.forward_features(x) 2025-08-14T21:49:38.6307202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6307272Z yl = self.stages(x) 2025-08-14T21:49:38.6307449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6307521Z yl = self.stage4(xl) 2025-08-14T21:49:38.6307701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6307760Z x = module(x) 2025-08-14T21:49:38.6307945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.6308003Z y = f(x[j]) 2025-08-14T21:49:38.6308006Z 2025-08-14T21:49:38.6308106Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6308318Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6308381Z return mod(*inputs) 2025-08-14T21:49:38.6308570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6308638Z y = self.forward_features(x) 2025-08-14T21:49:38.6308845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6308914Z yl = self.stages(x) 2025-08-14T21:49:38.6309089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6309153Z yl = self.stage4(xl) 2025-08-14T21:49:38.6309335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6309391Z x = module(x) 2025-08-14T21:49:38.6309576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.6309633Z y = f(x[j]) 2025-08-14T21:49:38.6309638Z 2025-08-14T21:49:38.6309737Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6309933Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6309995Z return mod(*inputs) 2025-08-14T21:49:38.6310190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6310279Z y = self.forward_features(x) 2025-08-14T21:49:38.6310485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6310552Z yl = self.stages(x) 2025-08-14T21:49:38.6310737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6310799Z yl = self.stage4(xl) 2025-08-14T21:49:38.6310978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6311035Z x = module(x) 2025-08-14T21:49:38.6311209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.6311288Z y = f(x[j]) 2025-08-14T21:49:38.6311291Z 2025-08-14T21:49:38.6311389Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6311582Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6311642Z return mod(*inputs) 2025-08-14T21:49:38.6311816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6311890Z y = self.forward_features(x) 2025-08-14T21:49:38.6312090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6312150Z yl = self.stages(x) 2025-08-14T21:49:38.6312331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6312394Z yl = self.stage4(xl) 2025-08-14T21:49:38.6312574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6312633Z x = module(x) 2025-08-14T21:49:38.6312808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6312876Z y = y + f(x[j]) 2025-08-14T21:49:38.6312879Z 2025-08-14T21:49:38.6312976Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6313168Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6313240Z return mod(*inputs) 2025-08-14T21:49:38.6313417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6313495Z y = self.forward_features(x) 2025-08-14T21:49:38.6313701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6313789Z yl = self.stages(x) 2025-08-14T21:49:38.6313974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6314038Z yl = self.stage4(xl) 2025-08-14T21:49:38.6314226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6314296Z x = module(x) 2025-08-14T21:49:38.6314468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6314532Z y = y + f(x[j]) 2025-08-14T21:49:38.6314535Z 2025-08-14T21:49:38.6314631Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6314815Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6314884Z return mod(*inputs) 2025-08-14T21:49:38.6315055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6315123Z y = self.forward_features(x) 2025-08-14T21:49:38.6315333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6315393Z yl = self.stages(x) 2025-08-14T21:49:38.6315588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6315665Z yl = self.stage4(xl) 2025-08-14T21:49:38.6315840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6315903Z x = module(x) 2025-08-14T21:49:38.6316076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6316132Z y = y + f(x[j]) 2025-08-14T21:49:38.6316143Z 2025-08-14T21:49:38.6316238Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6316422Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6316494Z return mod(*inputs) 2025-08-14T21:49:38.6316683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6316752Z y = self.forward_features(x) 2025-08-14T21:49:38.6316960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6317022Z yl = self.stages(x) 2025-08-14T21:49:38.6317200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6317269Z yl = self.stage4(xl) 2025-08-14T21:49:38.6317444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6317506Z x = module(x) 2025-08-14T21:49:38.6317679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6317737Z y = y + f(x[j]) 2025-08-14T21:49:38.6317740Z 2025-08-14T21:49:38.6317845Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6318032Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6318092Z return mod(*inputs) 2025-08-14T21:49:38.6318280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6318349Z y = self.forward_features(x) 2025-08-14T21:49:38.6318559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6318619Z yl = self.stages(x) 2025-08-14T21:49:38.6318792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6318861Z yl = self.stage4(xl) 2025-08-14T21:49:38.6319039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6319097Z x = module(x) 2025-08-14T21:49:38.6319293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:49:38.6319369Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:49:38.6319373Z 2025-08-14T21:49:38.6319475Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6319665Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6319726Z return mod(*inputs) 2025-08-14T21:49:38.6319903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6319969Z y = self.forward_features(x) 2025-08-14T21:49:38.6320176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:49:38.6320246Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:49:38.6320425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 209, in forward 2025-08-14T21:49:38.6320494Z x = self.conv1(x) 2025-08-14T21:49:38.6320497Z 2025-08-14T21:49:38.6320593Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6320778Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6321052Z return mod(*inputs) 2025-08-14T21:49:38.6321243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6321314Z y = self.forward_features(x) 2025-08-14T21:49:38.6321513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:49:38.6321582Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:49:38.6321767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 211, in forward 2025-08-14T21:49:38.6321826Z x = self.act1(x) 2025-08-14T21:49:38.6321829Z 2025-08-14T21:49:38.6321922Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6322111Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6322186Z return mod(*inputs) 2025-08-14T21:49:38.6322365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6322436Z y = self.forward_features(x) 2025-08-14T21:49:38.6322637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:49:38.6322715Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:49:38.6322894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 213, in forward 2025-08-14T21:49:38.6322954Z x = self.conv2(x) 2025-08-14T21:49:38.6322957Z 2025-08-14T21:49:38.6323060Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6323243Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6323311Z return mod(*inputs) 2025-08-14T21:49:38.6323485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6323553Z y = self.forward_features(x) 2025-08-14T21:49:38.6323764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:49:38.6323835Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:49:38.6324016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 216, in forward 2025-08-14T21:49:38.6324083Z x = self.act2(x) 2025-08-14T21:49:38.6324086Z 2025-08-14T21:49:38.6324183Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6324376Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6324438Z return mod(*inputs) 2025-08-14T21:49:38.6324628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6324703Z y = self.forward_features(x) 2025-08-14T21:49:38.6324906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:49:38.6324984Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:49:38.6325167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 219, in forward 2025-08-14T21:49:38.6325228Z x = self.conv3(x) 2025-08-14T21:49:38.6325231Z 2025-08-14T21:49:38.6325336Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6325524Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6325586Z return mod(*inputs) 2025-08-14T21:49:38.6325768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6325835Z y = self.forward_features(x) 2025-08-14T21:49:38.6326047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:49:38.6326116Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:49:38.6326295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 229, in forward 2025-08-14T21:49:38.6326399Z shortcut = self.downsample(shortcut) 2025-08-14T21:49:38.6326416Z 2025-08-14T21:49:38.6326513Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6326697Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6326767Z return mod(*inputs) 2025-08-14T21:49:38.6326940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6327015Z y = self.forward_features(x) 2025-08-14T21:49:38.6327221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6327283Z yl = self.stages(x) 2025-08-14T21:49:38.6327463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6327540Z yl = self.stage4(xl) 2025-08-14T21:49:38.6327713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6327781Z x = module(x) 2025-08-14T21:49:38.6327953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 482, in forward 2025-08-14T21:49:38.6328015Z y = f(x[j]) 2025-08-14T21:49:38.6328018Z 2025-08-14T21:49:38.6328112Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6328290Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6328358Z return mod(*inputs) 2025-08-14T21:49:38.6328531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6328600Z y = self.forward_features(x) 2025-08-14T21:49:38.6328809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6328872Z yl = self.stages(x) 2025-08-14T21:49:38.6329052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6329117Z yl = self.stage4(xl) 2025-08-14T21:49:38.6329290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6329354Z x = module(x) 2025-08-14T21:49:38.6329528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6329586Z y = y + f(x[j]) 2025-08-14T21:49:38.6329589Z 2025-08-14T21:49:38.6329690Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6329874Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6329957Z return mod(*inputs) 2025-08-14T21:49:38.6330130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6330198Z y = self.forward_features(x) 2025-08-14T21:49:38.6330406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6330470Z yl = self.stages(x) 2025-08-14T21:49:38.6330640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6330710Z yl = self.stage4(xl) 2025-08-14T21:49:38.6330882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6330946Z x = module(x) 2025-08-14T21:49:38.6331121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6331177Z y = y + f(x[j]) 2025-08-14T21:49:38.6331180Z 2025-08-14T21:49:38.6331285Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6331468Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6331529Z return mod(*inputs) 2025-08-14T21:49:38.6331712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6331808Z y = self.forward_features(x) 2025-08-14T21:49:38.6332019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6332079Z yl = self.stages(x) 2025-08-14T21:49:38.6332259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6332328Z yl = self.stage4(xl) 2025-08-14T21:49:38.6332510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6332568Z x = module(x) 2025-08-14T21:49:38.6332760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6332817Z y = y + f(x[j]) 2025-08-14T21:49:38.6332820Z 2025-08-14T21:49:38.6332945Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6333135Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6333200Z return mod(*inputs) 2025-08-14T21:49:38.6333386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6333454Z y = self.forward_features(x) 2025-08-14T21:49:38.6333658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6333726Z yl = self.stages(x) 2025-08-14T21:49:38.6333906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6333973Z yl = self.stage4(xl) 2025-08-14T21:49:38.6334152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6334210Z x = module(x) 2025-08-14T21:49:38.6334397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6334456Z y = y + f(x[j]) 2025-08-14T21:49:38.6334460Z 2025-08-14T21:49:38.6334558Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6334755Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6334816Z return mod(*inputs) 2025-08-14T21:49:38.6335002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6335070Z y = self.forward_features(x) 2025-08-14T21:49:38.6335279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6335350Z yl = self.stages(x) 2025-08-14T21:49:38.6335544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6335609Z yl = self.stage4(xl) 2025-08-14T21:49:38.6335798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6335860Z x = module(x) 2025-08-14T21:49:38.6336049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:49:38.6336124Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:49:38.6336128Z 2025-08-14T21:49:38.6336227Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6336429Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6336490Z return mod(*inputs) 2025-08-14T21:49:38.6336674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6336750Z y = self.forward_features(x) 2025-08-14T21:49:38.6336967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:49:38.6337048Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:49:38.6337236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 209, in forward 2025-08-14T21:49:38.6337327Z x = self.conv1(x) 2025-08-14T21:49:38.6337330Z 2025-08-14T21:49:38.6337436Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6337660Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6337729Z return mod(*inputs) 2025-08-14T21:49:38.6337918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6337989Z y = self.forward_features(x) 2025-08-14T21:49:38.6338212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:49:38.6338288Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:49:38.6338495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 211, in forward 2025-08-14T21:49:38.6338569Z x = self.act1(x) 2025-08-14T21:49:38.6338573Z 2025-08-14T21:49:38.6338676Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6338878Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6338943Z return mod(*inputs) 2025-08-14T21:49:38.6339128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6339205Z y = self.forward_features(x) 2025-08-14T21:49:38.6339421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:49:38.6339494Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:49:38.6339694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 213, in forward 2025-08-14T21:49:38.6339757Z x = self.conv2(x) 2025-08-14T21:49:38.6339760Z 2025-08-14T21:49:38.6339870Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6340067Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6340135Z return mod(*inputs) 2025-08-14T21:49:38.6340330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6340401Z y = self.forward_features(x) 2025-08-14T21:49:38.6340615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:49:38.6340695Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:49:38.6340884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 216, in forward 2025-08-14T21:49:38.6340952Z x = self.act2(x) 2025-08-14T21:49:38.6340956Z 2025-08-14T21:49:38.6341071Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6341271Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6341339Z return mod(*inputs) 2025-08-14T21:49:38.6341526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6341598Z y = self.forward_features(x) 2025-08-14T21:49:38.6341817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:49:38.6341891Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:49:38.6342086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 219, in forward 2025-08-14T21:49:38.6342148Z x = self.conv3(x) 2025-08-14T21:49:38.6342152Z 2025-08-14T21:49:38.6342252Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6342457Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6342521Z return mod(*inputs) 2025-08-14T21:49:38.6342713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6342804Z y = self.forward_features(x) 2025-08-14T21:49:38.6343034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:49:38.6343115Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:49:38.6343307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 229, in forward 2025-08-14T21:49:38.6343392Z shortcut = self.downsample(shortcut) 2025-08-14T21:49:38.6343396Z 2025-08-14T21:49:38.6343502Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6343697Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6343769Z return mod(*inputs) 2025-08-14T21:49:38.6343957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6344046Z y = self.forward_features(x) 2025-08-14T21:49:38.6344370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6344449Z yl = self.stages(x) 2025-08-14T21:49:38.6344643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6344722Z yl = self.stage4(xl) 2025-08-14T21:49:38.6344932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6345002Z x = module(x) 2025-08-14T21:49:38.6345209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6345271Z y = y + f(x[j]) 2025-08-14T21:49:38.6345274Z 2025-08-14T21:49:38.6345393Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6345600Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6345672Z return mod(*inputs) 2025-08-14T21:49:38.6345872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6345943Z y = self.forward_features(x) 2025-08-14T21:49:38.6346158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6346221Z yl = self.stages(x) 2025-08-14T21:49:38.6346399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6346472Z yl = self.stage4(xl) 2025-08-14T21:49:38.6346653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6346712Z x = module(x) 2025-08-14T21:49:38.6346918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6346976Z y = y + f(x[j]) 2025-08-14T21:49:38.6346979Z 2025-08-14T21:49:38.6347086Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6347276Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6347341Z return mod(*inputs) 2025-08-14T21:49:38.6347527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6347594Z y = self.forward_features(x) 2025-08-14T21:49:38.6347801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6347870Z yl = self.stages(x) 2025-08-14T21:49:38.6348049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6348120Z yl = self.stage4(xl) 2025-08-14T21:49:38.6348302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6348361Z x = module(x) 2025-08-14T21:49:38.6348547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6348630Z y = y + f(x[j]) 2025-08-14T21:49:38.6348647Z 2025-08-14T21:49:38.6348746Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6348940Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6349004Z return mod(*inputs) 2025-08-14T21:49:38.6349191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6349260Z y = self.forward_features(x) 2025-08-14T21:49:38.6349463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6349532Z yl = self.stages(x) 2025-08-14T21:49:38.6349710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6349772Z yl = self.stage4(xl) 2025-08-14T21:49:38.6349970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6350029Z x = module(x) 2025-08-14T21:49:38.6350215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6350273Z y = y + f(x[j]) 2025-08-14T21:49:38.6350276Z 2025-08-14T21:49:38.6350374Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6350569Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6350630Z return mod(*inputs) 2025-08-14T21:49:38.6350808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6350885Z y = self.forward_features(x) 2025-08-14T21:49:38.6351094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6351165Z yl = self.stages(x) 2025-08-14T21:49:38.6351344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6351409Z yl = self.stage4(xl) 2025-08-14T21:49:38.6351598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6351655Z x = module(x) 2025-08-14T21:49:38.6351836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6351901Z y = y + f(x[j]) 2025-08-14T21:49:38.6351904Z 2025-08-14T21:49:38.6352001Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6352197Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6352259Z return mod(*inputs) 2025-08-14T21:49:38.6352455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6352532Z y = self.forward_features(x) 2025-08-14T21:49:38.6352739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6352804Z yl = self.stages(x) 2025-08-14T21:49:38.6352987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6353050Z yl = self.stage4(xl) 2025-08-14T21:49:38.6353238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6353296Z x = module(x) 2025-08-14T21:49:38.6353484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 484, in forward 2025-08-14T21:49:38.6353550Z y = y + f(x[j]) 2025-08-14T21:49:38.6353553Z 2025-08-14T21:49:38.6353648Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6353837Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6353903Z return mod(*inputs) 2025-08-14T21:49:38.6354078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6354210Z y = self.forward_features(x) 2025-08-14T21:49:38.6354415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 770, in forward_features 2025-08-14T21:49:38.6354475Z yl = self.stages(x) 2025-08-14T21:49:38.6354659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 757, in stages 2025-08-14T21:49:38.6354719Z yl = self.stage4(xl) 2025-08-14T21:49:38.6354895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 506, in forward 2025-08-14T21:49:38.6354961Z x = module(x) 2025-08-14T21:49:38.6355137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 485, in forward 2025-08-14T21:49:38.6355219Z x_fuse.append(self.fuse_act(y)) 2025-08-14T21:49:38.6355222Z 2025-08-14T21:49:38.6355333Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6355516Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6355582Z return mod(*inputs) 2025-08-14T21:49:38.6355755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6355820Z y = self.forward_features(x) 2025-08-14T21:49:38.6356028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 777, in forward_features 2025-08-14T21:49:38.6356084Z y = incre(yl[i]) 2025-08-14T21:49:38.6356269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 209, in forward 2025-08-14T21:49:38.6356329Z x = self.conv1(x) 2025-08-14T21:49:38.6356332Z 2025-08-14T21:49:38.6356429Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6356620Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6356683Z return mod(*inputs) 2025-08-14T21:49:38.6356865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6356933Z y = self.forward_features(x) 2025-08-14T21:49:38.6357135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 777, in forward_features 2025-08-14T21:49:38.6357199Z y = incre(yl[i]) 2025-08-14T21:49:38.6357377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 211, in forward 2025-08-14T21:49:38.6357436Z x = self.act1(x) 2025-08-14T21:49:38.6357439Z 2025-08-14T21:49:38.6357540Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6357723Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6357806Z return mod(*inputs) 2025-08-14T21:49:38.6357979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6358045Z y = self.forward_features(x) 2025-08-14T21:49:38.6358253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 777, in forward_features 2025-08-14T21:49:38.6358313Z y = incre(yl[i]) 2025-08-14T21:49:38.6358489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 213, in forward 2025-08-14T21:49:38.6358557Z x = self.conv2(x) 2025-08-14T21:49:38.6358560Z 2025-08-14T21:49:38.6358654Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6358845Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6358905Z return mod(*inputs) 2025-08-14T21:49:38.6359077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6359151Z y = self.forward_features(x) 2025-08-14T21:49:38.6359353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 777, in forward_features 2025-08-14T21:49:38.6359429Z y = incre(yl[i]) 2025-08-14T21:49:38.6359620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 216, in forward 2025-08-14T21:49:38.6359694Z x = self.act2(x) 2025-08-14T21:49:38.6359697Z 2025-08-14T21:49:38.6359801Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6359989Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6360050Z return mod(*inputs) 2025-08-14T21:49:38.6360235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6360302Z y = self.forward_features(x) 2025-08-14T21:49:38.6360508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 777, in forward_features 2025-08-14T21:49:38.6360575Z y = incre(yl[i]) 2025-08-14T21:49:38.6360772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 219, in forward 2025-08-14T21:49:38.6360841Z x = self.conv3(x) 2025-08-14T21:49:38.6360845Z 2025-08-14T21:49:38.6360943Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6361129Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6361198Z return mod(*inputs) 2025-08-14T21:49:38.6361376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6361442Z y = self.forward_features(x) 2025-08-14T21:49:38.6361653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 777, in forward_features 2025-08-14T21:49:38.6361715Z y = incre(yl[i]) 2025-08-14T21:49:38.6361902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/resnet.py", line 229, in forward 2025-08-14T21:49:38.6361983Z shortcut = self.downsample(shortcut) 2025-08-14T21:49:38.6361988Z 2025-08-14T21:49:38.6362085Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6362282Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6362344Z return mod(*inputs) 2025-08-14T21:49:38.6362520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6362592Z y = self.forward_features(x) 2025-08-14T21:49:38.6362795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:49:38.6362872Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:49:38.6362875Z 2025-08-14T21:49:38.6362972Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6363170Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6363240Z return mod(*inputs) 2025-08-14T21:49:38.6363416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6363490Z y = self.forward_features(x) 2025-08-14T21:49:38.6363695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:49:38.6363766Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:49:38.6363770Z 2025-08-14T21:49:38.6363872Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6364058Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6364119Z return mod(*inputs) 2025-08-14T21:49:38.6364301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6364367Z y = self.forward_features(x) 2025-08-14T21:49:38.6364577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 780, in forward_features 2025-08-14T21:49:38.6364648Z y = incre(yl[i]) + down.forward(y) 2025-08-14T21:49:38.6364651Z 2025-08-14T21:49:38.6364748Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6364964Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6365026Z return mod(*inputs) 2025-08-14T21:49:38.6365197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 792, in forward 2025-08-14T21:49:38.6365271Z y = self.forward_features(x) 2025-08-14T21:49:38.6365470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 782, in forward_features 2025-08-14T21:49:38.6365543Z y = self.final_layer(y) 2025-08-14T21:49:38.6365546Z 2025-08-14T21:49:38.6365621Z cudagraph partition due to non gpu ops 2025-08-14T21:49:38.6365718Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6365907Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6365984Z return mod(*inputs) 2025-08-14T21:49:38.6366158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 793, in forward 2025-08-14T21:49:38.6366236Z x = self.forward_head(y) 2025-08-14T21:49:38.6366429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 787, in forward_head 2025-08-14T21:49:38.6366502Z x = self.global_pool(x) 2025-08-14T21:49:38.6366723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward 2025-08-14T21:49:38.6366783Z x = self.pool(x) 2025-08-14T21:49:38.6366786Z 2025-08-14T21:49:38.6366890Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:49:38.6367072Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:49:38.6367132Z return mod(*inputs) 2025-08-14T21:49:38.6367316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 793, in forward 2025-08-14T21:49:38.6367380Z x = self.forward_head(y) 2025-08-14T21:49:38.6367577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/hrnet.py", line 789, in forward_head 2025-08-14T21:49:38.6367672Z return x if pre_logits else self.classifier(x) 2025-08-14T21:49:38.6367676Z 2025-08-14T21:50:05.4679842Z Compilation time (from dynamo_timed): 66.432198484 2025-08-14T21:50:05.4680348Z pass 2025-08-14T21:50:05.4689745Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:50:05.4690975Z TIMING: _recursive_pre_grad_passes:0.02686 _recursive_joint_graph_passes:0.36787 _recursive_post_grad_passes:0.6227 async_compile.wait:5.40029 code_gen:22.05399 inductor_compile:32.05032 backend_compile:49.19168 gc:0.00086 entire_frame_compile:66.4322 total_wall_time:66.4322 2025-08-14T21:50:05.4692138Z STATS: call_* op count: 1146 | FakeTensorMode.__torch_dispatch__:63487 | FakeTensor.__torch_dispatch__:41257 | ProxyTorchDispatchMode.__torch_dispatch__:30315 2025-08-14T21:50:05.4692703Z Dynamo produced 1 graphs covering 1146 ops with 0 graph breaks (0 unique) 2025-08-14T21:50:11.9701094Z 2025-08-14T21:50:12.2298701Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:50:12.2299159Z 2025-08-14T21:50:12.3337749Z model.safetensors: 0% 0.00/95.5M [00:00> $GITHUB_ENV 2025-08-14T21:52:40.3758181Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-08-14T21:52:40.3766705Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:52:40.3766975Z env: 2025-08-14T21:52:40.3767155Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:52:40.3767485Z DOCKER_CONTAINER_ID: 15c4eda562fa25dae1d827bceb41c94b64c28c3c3c95c95e35207df2176ef02d 2025-08-14T21:52:40.3767832Z ##[endgroup] 2025-08-14T21:52:40.3797459Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-08-14T21:52:40.5587804Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:52:41.3090435Z Collecting boto3==1.35.33 2025-08-14T21:52:41.3248912Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-08-14T21:52:41.5513196Z Collecting psutil==7.0.0 2025-08-14T21:52:41.5554587Z Downloading psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (277 kB) 2025-08-14T21:52:41.5805792Z Collecting pynvml==12.0.0 2025-08-14T21:52:41.5844717Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-08-14T21:52:41.5917642Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.33) (0.10.0) 2025-08-14T21:52:41.6224967Z Collecting s3transfer<0.11.0,>=0.10.0 2025-08-14T21:52:41.6265435Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-08-14T21:52:42.4146838Z Collecting botocore<1.36.0,>=1.35.33 2025-08-14T21:52:42.4179866Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-08-14T21:52:42.5342864Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-08-14T21:52:42.5375925Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-08-14T21:52:42.5456596Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.8.1) 2025-08-14T21:52:42.5461202Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.25.10) 2025-08-14T21:52:42.6569233Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.15.0) 2025-08-14T21:52:42.7574027Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-08-14T21:52:43.0961829Z Attempting uninstall: nvidia-ml-py 2025-08-14T21:52:43.0962179Z Found existing installation: nvidia-ml-py 11.525.84 2025-08-14T21:52:43.0971683Z Uninstalling nvidia-ml-py-11.525.84: 2025-08-14T21:52:43.1096488Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-08-14T21:52:43.1582674Z Attempting uninstall: psutil 2025-08-14T21:52:43.1583041Z Found existing installation: psutil 5.9.8 2025-08-14T21:52:43.1629374Z Uninstalling psutil-5.9.8: 2025-08-14T21:52:43.1633641Z Successfully uninstalled psutil-5.9.8 2025-08-14T21:52:43.2939221Z Successfully installed boto3-1.35.33 botocore-1.35.99 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0 s3transfer-0.10.4 2025-08-14T21:52:43.4085617Z + DEVICE_NAME= 2025-08-14T21:52:43.4087833Z + DEVICE_TYPE= 2025-08-14T21:52:43.4088148Z + command -v nvidia-smi 2025-08-14T21:52:43.4094239Z + command -v rocminfo 2025-08-14T21:52:43.4098836Z + echo DEVICE_NAME= 2025-08-14T21:52:43.4100801Z + echo DEVICE_TYPE= 2025-08-14T21:52:43.4115396Z ##[group]Run set -eux 2025-08-14T21:52:43.4115587Z set -eux 2025-08-14T21:52:43.4115739Z  2025-08-14T21:52:43.4115901Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-08-14T21:52:43.4116130Z  echo "Missing github-token input" 2025-08-14T21:52:43.4116351Z  exit 1 2025-08-14T21:52:43.4116518Z fi 2025-08-14T21:52:43.4122259Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:52:43.4122505Z env: 2025-08-14T21:52:43.4122666Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:52:43.4122973Z DOCKER_CONTAINER_ID: 15c4eda562fa25dae1d827bceb41c94b64c28c3c3c95c95e35207df2176ef02d 2025-08-14T21:52:43.4123282Z DEVICE_NAME: 2025-08-14T21:52:43.4123445Z DEVICE_TYPE: 2025-08-14T21:52:43.4123797Z GITHUB_TOKEN: *** 2025-08-14T21:52:43.4123950Z ##[endgroup] 2025-08-14T21:52:43.4144650Z + [[ -z *** ]] 2025-08-14T21:52:43.4178553Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-08-14T21:52:43.4178856Z with: 2025-08-14T21:52:43.4179169Z github-token: *** 2025-08-14T21:52:43.4179345Z env: 2025-08-14T21:52:43.4179504Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:52:43.4179830Z DOCKER_CONTAINER_ID: 15c4eda562fa25dae1d827bceb41c94b64c28c3c3c95c95e35207df2176ef02d 2025-08-14T21:52:43.4180171Z DEVICE_NAME: 2025-08-14T21:52:43.4180329Z DEVICE_TYPE: 2025-08-14T21:52:43.4180513Z ##[endgroup] 2025-08-14T21:52:43.4190797Z ##[group]Run set -eux 2025-08-14T21:52:43.4190997Z set -eux 2025-08-14T21:52:43.4191163Z  2025-08-14T21:52:43.4191474Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-08-14T21:52:43.4195886Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:52:43.4196156Z env: 2025-08-14T21:52:43.4196325Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:52:43.4196642Z DOCKER_CONTAINER_ID: 15c4eda562fa25dae1d827bceb41c94b64c28c3c3c95c95e35207df2176ef02d 2025-08-14T21:52:43.4196985Z DEVICE_NAME: 2025-08-14T21:52:43.4197156Z DEVICE_TYPE: 2025-08-14T21:52:43.4197460Z GITHUB_TOKEN: *** 2025-08-14T21:52:43.4197635Z ##[endgroup] 2025-08-14T21:52:43.4222734Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 16976338999 i-0a572e829b0dd50b7 2025-08-14T21:52:44.9266928Z setting job-id=48128301874 2025-08-14T21:52:44.9267515Z setting job-name=linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_timm, 1, 2, linux.8xlarge.amx) 2025-08-14T21:52:44.9364591Z ##[group]Run set -eux 2025-08-14T21:52:44.9364785Z set -eux 2025-08-14T21:52:44.9364942Z  2025-08-14T21:52:44.9365196Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-08-14T21:52:44.9365530Z  --schema-version "${SCHEMA_VERSION}" \ 2025-08-14T21:52:44.9365752Z  --repo "${REPO}" \ 2025-08-14T21:52:44.9366030Z  --head-branch "${HEAD_BRANCH}" \ 2025-08-14T21:52:44.9366247Z  --head-sha "${HEAD_SHA}" \ 2025-08-14T21:52:44.9366457Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-08-14T21:52:44.9366683Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-08-14T21:52:44.9366898Z  --job-id "${JOB_ID}" \ 2025-08-14T21:52:44.9367094Z  --job-name "${JOB_NAME}" 2025-08-14T21:52:44.9371816Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:52:44.9372054Z env: 2025-08-14T21:52:44.9372213Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:52:44.9372498Z DOCKER_CONTAINER_ID: 15c4eda562fa25dae1d827bceb41c94b64c28c3c3c95c95e35207df2176ef02d 2025-08-14T21:52:44.9372799Z DEVICE_NAME: 2025-08-14T21:52:44.9372952Z DEVICE_TYPE: 2025-08-14T21:52:44.9373164Z SCHEMA_VERSION: v3 2025-08-14T21:52:44.9373333Z REPO: pytorch/pytorch 2025-08-14T21:52:44.9373506Z HEAD_BRANCH: refs/heads/main 2025-08-14T21:52:44.9373708Z HEAD_SHA: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:52:44.9373927Z WORKFLOW_RUN_ID: 16976338999 2025-08-14T21:52:44.9374107Z RUN_ATTEMPT: 1 2025-08-14T21:52:44.9374266Z JOB_ID: 48128301874 2025-08-14T21:52:44.9374628Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_timm, 1, 2, linux.8xlarge.amx) 2025-08-14T21:52:44.9375010Z ##[endgroup] 2025-08-14T21:52:44.9402696Z + 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 48128301874 --job-name 'linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_timm, 1, 2, linux.8xlarge.amx)' 2025-08-14T21:52:44.9656554Z ##[group]Run set -eux 2025-08-14T21:52:44.9656763Z set -eux 2025-08-14T21:52:44.9656920Z  2025-08-14T21:52:44.9657183Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-08-14T21:52:44.9661876Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:52:44.9662127Z env: 2025-08-14T21:52:44.9662284Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:52:44.9662597Z DOCKER_CONTAINER_ID: 15c4eda562fa25dae1d827bceb41c94b64c28c3c3c95c95e35207df2176ef02d 2025-08-14T21:52:44.9662933Z DEVICE_NAME: 2025-08-14T21:52:44.9663100Z DEVICE_TYPE: 2025-08-14T21:52:44.9663253Z ##[endgroup] 2025-08-14T21:52:44.9688641Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-08-14T21:52:44.9997760Z INFO:root:Fail to import torch to get the device name 2025-08-14T21:52:45.0085936Z ##[group]Run set -eux 2025-08-14T21:52:45.0086150Z set -eux 2025-08-14T21:52:45.0086318Z  2025-08-14T21:52:45.0086503Z # TODO (huydhn): Implement this part 2025-08-14T21:52:45.0086783Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:52:45.0091251Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:52:45.0091484Z env: 2025-08-14T21:52:45.0091643Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:52:45.0091952Z DOCKER_CONTAINER_ID: 15c4eda562fa25dae1d827bceb41c94b64c28c3c3c95c95e35207df2176ef02d 2025-08-14T21:52:45.0092409Z DEVICE_NAME: 2025-08-14T21:52:45.0092563Z DEVICE_TYPE: 2025-08-14T21:52:45.0092716Z ##[endgroup] 2025-08-14T21:52:45.0114317Z + echo 'dependencies={}' 2025-08-14T21:52:45.0128758Z ##[group]Run set -eux 2025-08-14T21:52:45.0128954Z set -eux 2025-08-14T21:52:45.0129107Z  2025-08-14T21:52:45.0129288Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-08-14T21:52:45.0129575Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-08-14T21:52:45.0129862Z  # We don't want the job to fail if the directory doesn't exist 2025-08-14T21:52:45.0130155Z  exit 0 2025-08-14T21:52:45.0130304Z fi 2025-08-14T21:52:45.0130437Z  2025-08-14T21:52:45.0130597Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-08-14T21:52:45.0130883Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-08-14T21:52:45.0131209Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-08-14T21:52:45.0131486Z  --metadata "${BENCHMARK_METADATA}" \ 2025-08-14T21:52:45.0131712Z  --runners "${RUNNER_INFO}" \ 2025-08-14T21:52:45.0131934Z  --dependencies "${DEPENDENCIES}" \ 2025-08-14T21:52:45.0132138Z  --dry-run 2025-08-14T21:52:45.0132305Z else 2025-08-14T21:52:45.0132545Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-08-14T21:52:45.0132923Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-08-14T21:52:45.0133187Z  --metadata "${BENCHMARK_METADATA}" \ 2025-08-14T21:52:45.0133413Z  --runners "${RUNNER_INFO}" \ 2025-08-14T21:52:45.0133633Z  --dependencies "${DEPENDENCIES}" 2025-08-14T21:52:45.0133826Z fi 2025-08-14T21:52:45.0137578Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:52:45.0137820Z env: 2025-08-14T21:52:45.0137974Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:52:45.0138283Z DOCKER_CONTAINER_ID: 15c4eda562fa25dae1d827bceb41c94b64c28c3c3c95c95e35207df2176ef02d 2025-08-14T21:52:45.0138600Z DEVICE_NAME: 2025-08-14T21:52:45.0138756Z DEVICE_TYPE: 2025-08-14T21:52:45.0138939Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-08-14T21:52:45.0139145Z DRY_RUN: false 2025-08-14T21:52:45.0139985Z BENCHMARK_METADATA: {"timestamp": 1755208364, "schema_version": "v3", "name": "linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (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": 48128301874} 2025-08-14T21:52:45.0141034Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-31-34.ec2.internal"}, "name": "", "type": ""}] 2025-08-14T21:52:45.0141408Z DEPENDENCIES: {} 2025-08-14T21:52:45.0141582Z ##[endgroup] 2025-08-14T21:52:45.0162753Z + [[ ! -d test/test-reports ]] 2025-08-14T21:52:45.0163193Z + [[ false == \t\r\u\e ]] 2025-08-14T21:52:45.0165015Z + 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": 1755208364, "schema_version": "v3", "name": "linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (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": 48128301874}' --runners '[{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-31-34.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}' 2025-08-14T21:52:45.1323375Z INFO:root:Upload test/test-reports/inference_timm_models.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976338999/48128301874/inference_timm_models.json 2025-08-14T21:52:45.1580891Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-08-14T21:52:45.3612221Z ##[group]Run cat test/**/*_toprint.log || true 2025-08-14T21:52:45.3612497Z cat test/**/*_toprint.log || true 2025-08-14T21:52:45.3617093Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:52:45.3617344Z env: 2025-08-14T21:52:45.3617507Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:52:45.3617801Z DOCKER_CONTAINER_ID: 15c4eda562fa25dae1d827bceb41c94b64c28c3c3c95c95e35207df2176ef02d 2025-08-14T21:52:45.3618194Z DEVICE_NAME: 2025-08-14T21:52:45.3618352Z DEVICE_TYPE: 2025-08-14T21:52:45.3618512Z ##[endgroup] 2025-08-14T21:52:45.3693731Z cat: 'test/**/*_toprint.log': No such file or directory 2025-08-14T21:52:45.3719119Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-08-14T21:52:45.3719359Z kill "$MONITOR_SCRIPT_PID" 2025-08-14T21:52:45.3723550Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:52:45.3723787Z env: 2025-08-14T21:52:45.3723936Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:52:45.3724231Z DOCKER_CONTAINER_ID: 15c4eda562fa25dae1d827bceb41c94b64c28c3c3c95c95e35207df2176ef02d 2025-08-14T21:52:45.3724534Z DEVICE_NAME: 2025-08-14T21:52:45.3724691Z DEVICE_TYPE: 2025-08-14T21:52:45.3724844Z MONITOR_SCRIPT_PID: 47829 2025-08-14T21:52:45.3725089Z ##[endgroup] 2025-08-14T21:52:45.3820262Z Prepare all required actions 2025-08-14T21:52:45.3820953Z Getting action download info 2025-08-14T21:52:45.5094303Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-08-14T21:52:45.8214298Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-08-14T21:52:46.3140608Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-08-14T21:52:46.3140874Z with: 2025-08-14T21:52:46.3141124Z file-suffix: test-cpu_inductor_timm-1-2-linux.8xlarge.amx_48128301874 2025-08-14T21:52:46.3141409Z s3-bucket: gha-artifacts 2025-08-14T21:52:46.3141598Z env: 2025-08-14T21:52:46.3141758Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:52:46.3142064Z DOCKER_CONTAINER_ID: 15c4eda562fa25dae1d827bceb41c94b64c28c3c3c95c95e35207df2176ef02d 2025-08-14T21:52:46.3142391Z DEVICE_NAME: 2025-08-14T21:52:46.3142561Z DEVICE_TYPE: 2025-08-14T21:52:46.3142719Z ##[endgroup] 2025-08-14T21:52:46.3159301Z ##[group]Run # Remove any previous test jsons if they exist 2025-08-14T21:52:46.3159626Z # Remove any previous test jsons if they exist 2025-08-14T21:52:46.3159864Z rm -f test-jsons-*.zip 2025-08-14T21:52:46.3160157Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-08-14T21:52:46.3164621Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:52:46.3164868Z env: 2025-08-14T21:52:46.3165031Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:52:46.3165401Z DOCKER_CONTAINER_ID: 15c4eda562fa25dae1d827bceb41c94b64c28c3c3c95c95e35207df2176ef02d 2025-08-14T21:52:46.3165741Z DEVICE_NAME: 2025-08-14T21:52:46.3165908Z DEVICE_TYPE: 2025-08-14T21:52:46.3166156Z FILE_SUFFIX: test-cpu_inductor_timm-1-2-linux.8xlarge.amx_48128301874 2025-08-14T21:52:46.3166466Z ##[endgroup] 2025-08-14T21:52:46.3317700Z adding: test/test-reports/inference_timm_models.json (deflated 99%) 2025-08-14T21:52:46.3338542Z ##[group]Run # Remove any previous test reports if they exist 2025-08-14T21:52:46.3338862Z # Remove any previous test reports if they exist 2025-08-14T21:52:46.3339116Z rm -f test-reports-*.zip 2025-08-14T21:52:46.3339417Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-08-14T21:52:46.3343821Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:52:46.3344057Z env: 2025-08-14T21:52:46.3344365Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:52:46.3344670Z DOCKER_CONTAINER_ID: 15c4eda562fa25dae1d827bceb41c94b64c28c3c3c95c95e35207df2176ef02d 2025-08-14T21:52:46.3345039Z DEVICE_NAME: 2025-08-14T21:52:46.3345236Z DEVICE_TYPE: 2025-08-14T21:52:46.3345497Z FILE_SUFFIX: test-cpu_inductor_timm-1-2-linux.8xlarge.amx_48128301874 2025-08-14T21:52:46.3345775Z ##[endgroup] 2025-08-14T21:52:46.3409731Z adding: test/test-reports/inference_timm_models.csv (deflated 61%) 2025-08-14T21:52:46.3430378Z ##[group]Run # Remove any previous usage logs if they exist 2025-08-14T21:52:46.3430721Z # Remove any previous usage logs if they exist 2025-08-14T21:52:46.3430959Z rm -f logs-*.zip 2025-08-14T21:52:46.3431184Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-08-14T21:52:46.3431558Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-08-14T21:52:46.3435270Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:52:46.3435510Z env: 2025-08-14T21:52:46.3435660Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:52:46.3435958Z DOCKER_CONTAINER_ID: 15c4eda562fa25dae1d827bceb41c94b64c28c3c3c95c95e35207df2176ef02d 2025-08-14T21:52:46.3436288Z DEVICE_NAME: 2025-08-14T21:52:46.3436443Z DEVICE_TYPE: 2025-08-14T21:52:46.3436684Z FILE_SUFFIX: test-cpu_inductor_timm-1-2-linux.8xlarge.amx_48128301874 2025-08-14T21:52:46.3436940Z ##[endgroup] 2025-08-14T21:52:46.3515012Z adding: usage_log.txt (deflated 96%) 2025-08-14T21:52:46.3527802Z 2025-08-14T21:52:46.3528685Z zip error: Nothing to do! (logs-test-cpu_inductor_timm-1-2-linux.8xlarge.amx_48128301874.zip) 2025-08-14T21:52:46.3547839Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-08-14T21:52:46.3548185Z # Remove any previous debugging artifacts if they exist 2025-08-14T21:52:46.3548460Z rm -f debug-*.zip 2025-08-14T21:52:46.3548661Z if [ -d 'test/debug' ]; then 2025-08-14T21:52:46.3548897Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-08-14T21:52:46.3549126Z fi 2025-08-14T21:52:46.3552734Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:52:46.3552973Z env: 2025-08-14T21:52:46.3553131Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:52:46.3553419Z DOCKER_CONTAINER_ID: 15c4eda562fa25dae1d827bceb41c94b64c28c3c3c95c95e35207df2176ef02d 2025-08-14T21:52:46.3553732Z DEVICE_NAME: 2025-08-14T21:52:46.3553890Z DEVICE_TYPE: 2025-08-14T21:52:46.3554124Z FILE_SUFFIX: test-cpu_inductor_timm-1-2-linux.8xlarge.amx_48128301874 2025-08-14T21:52:46.3554393Z ##[endgroup] 2025-08-14T21:52:46.3611643Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T21:52:46.3611856Z with: 2025-08-14T21:52:46.3612017Z s3-bucket: gha-artifacts 2025-08-14T21:52:46.3612229Z s3-prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T21:52:46.3612445Z retention-days: 14 2025-08-14T21:52:46.3612615Z if-no-files-found: warn 2025-08-14T21:52:46.3612795Z path: test-jsons-*.zip 2025-08-14T21:52:46.3612953Z name: artifact 2025-08-14T21:52:46.3613106Z region: us-east-1 2025-08-14T21:52:46.3613255Z env: 2025-08-14T21:52:46.3613390Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:52:46.3613679Z DOCKER_CONTAINER_ID: 15c4eda562fa25dae1d827bceb41c94b64c28c3c3c95c95e35207df2176ef02d 2025-08-14T21:52:46.3613973Z DEVICE_NAME: 2025-08-14T21:52:46.3614123Z DEVICE_TYPE: 2025-08-14T21:52:46.3614266Z ##[endgroup] 2025-08-14T21:52:46.6139617Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-14T21:52:46.6139977Z With the provided path, there will be 1 file uploaded 2025-08-14T21:52:46.6140317Z Uploading to s3 prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T21:52:46.6168445Z Starting upload of test-jsons-test-cpu_inductor_timm-1-2-linux.8xlarge.amx_48128301874.zip 2025-08-14T21:52:46.7311045Z Finished upload of test-jsons-test-cpu_inductor_timm-1-2-linux.8xlarge.amx_48128301874.zip 2025-08-14T21:52:46.7454399Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T21:52:46.7454611Z with: 2025-08-14T21:52:46.7454769Z s3-bucket: gha-artifacts 2025-08-14T21:52:46.7454981Z s3-prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T21:52:46.7455188Z retention-days: 14 2025-08-14T21:52:46.7455358Z if-no-files-found: error 2025-08-14T21:52:46.7455539Z path: test-reports-*.zip 2025-08-14T21:52:46.7455700Z name: artifact 2025-08-14T21:52:46.7455851Z region: us-east-1 2025-08-14T21:52:46.7456001Z env: 2025-08-14T21:52:46.7456135Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:52:46.7456436Z DOCKER_CONTAINER_ID: 15c4eda562fa25dae1d827bceb41c94b64c28c3c3c95c95e35207df2176ef02d 2025-08-14T21:52:46.7456737Z DEVICE_NAME: 2025-08-14T21:52:46.7456886Z DEVICE_TYPE: 2025-08-14T21:52:46.7457026Z ##[endgroup] 2025-08-14T21:52:46.9961668Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-14T21:52:46.9962325Z With the provided path, there will be 1 file uploaded 2025-08-14T21:52:46.9962626Z Uploading to s3 prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T21:52:46.9997400Z Starting upload of test-reports-test-cpu_inductor_timm-1-2-linux.8xlarge.amx_48128301874.zip 2025-08-14T21:52:47.1086979Z Finished upload of test-reports-test-cpu_inductor_timm-1-2-linux.8xlarge.amx_48128301874.zip 2025-08-14T21:52:47.1246285Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T21:52:47.1246547Z with: 2025-08-14T21:52:47.1246738Z s3-bucket: gha-artifacts 2025-08-14T21:52:47.1246989Z s3-prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T21:52:47.1247241Z retention-days: 14 2025-08-14T21:52:47.1247445Z if-no-files-found: ignore 2025-08-14T21:52:47.1247856Z path: logs-*.zip 2025-08-14T21:52:47.1248029Z name: artifact 2025-08-14T21:52:47.1248208Z region: us-east-1 2025-08-14T21:52:47.1248383Z env: 2025-08-14T21:52:47.1248543Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:52:47.1248879Z DOCKER_CONTAINER_ID: 15c4eda562fa25dae1d827bceb41c94b64c28c3c3c95c95e35207df2176ef02d 2025-08-14T21:52:47.1249220Z DEVICE_NAME: 2025-08-14T21:52:47.1249394Z DEVICE_TYPE: 2025-08-14T21:52:47.1249558Z ##[endgroup] 2025-08-14T21:52:47.3836417Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-14T21:52:47.3836776Z With the provided path, there will be 1 file uploaded 2025-08-14T21:52:47.3837076Z Uploading to s3 prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T21:52:47.3865576Z Starting upload of logs-test-cpu_inductor_timm-1-2-linux.8xlarge.amx_48128301874.zip 2025-08-14T21:52:47.5015876Z Finished upload of logs-test-cpu_inductor_timm-1-2-linux.8xlarge.amx_48128301874.zip 2025-08-14T21:52:47.5167833Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T21:52:47.5168099Z with: 2025-08-14T21:52:47.5168275Z s3-bucket: gha-artifacts 2025-08-14T21:52:47.5168509Z s3-prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T21:52:47.5168742Z retention-days: 14 2025-08-14T21:52:47.5168933Z if-no-files-found: ignore 2025-08-14T21:52:47.5169128Z path: debug-*.zip 2025-08-14T21:52:47.5169289Z name: artifact 2025-08-14T21:52:47.5169464Z region: us-east-1 2025-08-14T21:52:47.5169620Z env: 2025-08-14T21:52:47.5169767Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:52:47.5170065Z DOCKER_CONTAINER_ID: 15c4eda562fa25dae1d827bceb41c94b64c28c3c3c95c95e35207df2176ef02d 2025-08-14T21:52:47.5170372Z DEVICE_NAME: 2025-08-14T21:52:47.5170526Z DEVICE_TYPE: 2025-08-14T21:52:47.5170676Z ##[endgroup] 2025-08-14T21:52:47.7733388Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-08-14T21:52:47.7916127Z ##[group]Run # shellcheck disable=SC2156 2025-08-14T21:52:47.7916395Z # shellcheck disable=SC2156 2025-08-14T21:52:47.7916769Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-08-14T21:52:47.7921795Z shell: /usr/bin/bash -e {0} 2025-08-14T21:52:47.7921993Z env: 2025-08-14T21:52:47.7922153Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:52:47.7922461Z DOCKER_CONTAINER_ID: 15c4eda562fa25dae1d827bceb41c94b64c28c3c3c95c95e35207df2176ef02d 2025-08-14T21:52:47.7922785Z DEVICE_NAME: 2025-08-14T21:52:47.7922945Z DEVICE_TYPE: 2025-08-14T21:52:47.7923098Z ##[endgroup] 2025-08-14T21:52:47.9692701Z Prepare all required actions 2025-08-14T21:52:47.9693004Z Getting action download info 2025-08-14T21:52:48.0707137Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-08-14T21:52:48.0707399Z with: 2025-08-14T21:52:48.0707569Z job_id: 48128301874 2025-08-14T21:52:48.0707962Z job_name: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_timm, 1, 2, linux.8xlarge.amx) 2025-08-14T21:52:48.0708396Z workflow_name: inductor-periodic 2025-08-14T21:52:48.0708616Z workflow_run_id: 16976338999 2025-08-14T21:52:48.0708812Z workflow_attempt: 1 2025-08-14T21:52:48.0708976Z env: 2025-08-14T21:52:48.0709139Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:52:48.0709540Z DOCKER_CONTAINER_ID: 15c4eda562fa25dae1d827bceb41c94b64c28c3c3c95c95e35207df2176ef02d 2025-08-14T21:52:48.0709867Z DEVICE_NAME: 2025-08-14T21:52:48.0710031Z DEVICE_TYPE: 2025-08-14T21:52:48.0710201Z ##[endgroup] 2025-08-14T21:52:48.0722575Z ##[group]Run echo "workflow_id: 16976338999" 2025-08-14T21:52:48.0722852Z echo "workflow_id: 16976338999" 2025-08-14T21:52:48.0723061Z echo "workflow_attempt: 1" 2025-08-14T21:52:48.0723272Z echo "workflow_Name: inductor-periodic" 2025-08-14T21:52:48.0723491Z echo "job_id: 48128301874" 2025-08-14T21:52:48.0723895Z echo "job_name: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_timm, 1, 2, linux.8xlarge.amx)" 2025-08-14T21:52:48.0724342Z echo "artifact_prefix: " 2025-08-14T21:52:48.0724540Z python3 --version 2025-08-14T21:52:48.0728758Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:52:48.0728990Z env: 2025-08-14T21:52:48.0729140Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:52:48.0729432Z DOCKER_CONTAINER_ID: 15c4eda562fa25dae1d827bceb41c94b64c28c3c3c95c95e35207df2176ef02d 2025-08-14T21:52:48.0729732Z DEVICE_NAME: 2025-08-14T21:52:48.0729877Z DEVICE_TYPE: 2025-08-14T21:52:48.0730025Z ##[endgroup] 2025-08-14T21:52:48.0752045Z workflow_id: 16976338999 2025-08-14T21:52:48.0757759Z workflow_attempt: 1 2025-08-14T21:52:48.0758040Z workflow_Name: inductor-periodic 2025-08-14T21:52:48.0758279Z job_id: 48128301874 2025-08-14T21:52:48.0758731Z job_name: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_timm, 1, 2, linux.8xlarge.amx) 2025-08-14T21:52:48.0759170Z artifact_prefix: 2025-08-14T21:52:48.0763089Z Python 3.9.23 2025-08-14T21:52:48.0792424Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-14T21:52:48.0792655Z with: 2025-08-14T21:52:48.0792823Z shell: bash 2025-08-14T21:52:48.0792983Z timeout_minutes: 5 2025-08-14T21:52:48.0793144Z max_attempts: 5 2025-08-14T21:52:48.0793310Z retry_wait_seconds: 30 2025-08-14T21:52:48.0793663Z command: set -eu python3 -m pip install python-dateutil==2.8.2 boto3==1.35.42 pandas==2.1.3 dataclasses_json==0.6.7 2025-08-14T21:52:48.0794027Z polling_interval_seconds: 1 2025-08-14T21:52:48.0794211Z warning_on_retry: true 2025-08-14T21:52:48.0794404Z continue_on_error: false 2025-08-14T21:52:48.0794585Z env: 2025-08-14T21:52:48.0794733Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:52:48.0795037Z DOCKER_CONTAINER_ID: 15c4eda562fa25dae1d827bceb41c94b64c28c3c3c95c95e35207df2176ef02d 2025-08-14T21:52:48.0795352Z DEVICE_NAME: 2025-08-14T21:52:48.0795503Z DEVICE_TYPE: 2025-08-14T21:52:48.0795661Z ##[endgroup] 2025-08-14T21:52:48.3393994Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:52:48.3978720Z Collecting python-dateutil==2.8.2 2025-08-14T21:52:48.4140149Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-08-14T21:52:49.0940300Z Collecting boto3==1.35.42 2025-08-14T21:52:49.0980267Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-08-14T21:52:49.4547784Z Collecting pandas==2.1.3 2025-08-14T21:52:49.4590330Z Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB) 2025-08-14T21:52:49.5370878Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7) 2025-08-14T21:52:49.5382254Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0) 2025-08-14T21:52:49.5414882Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.4) 2025-08-14T21:52:49.5418544Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.0) 2025-08-14T21:52:49.5419275Z Requirement already satisfied: botocore<1.36.0,>=1.35.42 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (1.35.99) 2025-08-14T21:52:50.1480190Z Collecting numpy<2,>=1.22.4 2025-08-14T21:52:50.1524026Z Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) 2025-08-14T21:52:50.4515941Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1) 2025-08-14T21:52:50.5183555Z Collecting tzdata>=2022.1 2025-08-14T21:52:50.5223368Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-08-14T21:52:50.5780028Z Requirement already satisfied: typing-inspect<1,>=0.4.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (0.9.0) 2025-08-14T21:52:50.5780938Z Requirement already satisfied: marshmallow<4.0.0,>=3.18.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (3.26.1) 2025-08-14T21:52:50.5844701Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.42->boto3==1.35.42) (1.25.10) 2025-08-14T21:52:50.5910490Z Requirement already satisfied: packaging>=17.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses_json==0.6.7) (25.0) 2025-08-14T21:52:50.5984885Z Requirement already satisfied: typing-extensions>=3.7.4 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.14.1) 2025-08-14T21:52:50.5991283Z Requirement already satisfied: mypy-extensions>=0.3.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (1.1.0) 2025-08-14T21:52:50.7123727Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3 2025-08-14T21:52:54.6721869Z Attempting uninstall: boto3 2025-08-14T21:52:54.6727195Z Found existing installation: boto3 1.35.33 2025-08-14T21:52:54.6784649Z Uninstalling boto3-1.35.33: 2025-08-14T21:52:54.6797046Z Successfully uninstalled boto3-1.35.33 2025-08-14T21:52:54.7248098Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2 2025-08-14T21:52:55.1479814Z Command completed after 1 attempt(s). 2025-08-14T21:52:55.1540077Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-08-14T21:52:55.1540529Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-08-14T21:52:55.1540836Z  --workflow-run-id "16976338999" \ 2025-08-14T21:52:55.1541077Z  --workflow-name "inductor-periodic" \ 2025-08-14T21:52:55.1541318Z  --workflow-run-attempt "1" \ 2025-08-14T21:52:55.1541539Z  --job-id "48128301874" \ 2025-08-14T21:52:55.1541961Z  --job-name "linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_timm, 1, 2, linux.8xlarge.amx)" \ 2025-08-14T21:52:55.1542391Z  --local-path "" \ 2025-08-14T21:52:55.1542598Z  --artifact-prefix "" 2025-08-14T21:52:55.1547991Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:52:55.1548247Z env: 2025-08-14T21:52:55.1548407Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:52:55.1548696Z DOCKER_CONTAINER_ID: 15c4eda562fa25dae1d827bceb41c94b64c28c3c3c95c95e35207df2176ef02d 2025-08-14T21:52:55.1549004Z DEVICE_NAME: 2025-08-14T21:52:55.1549164Z DEVICE_TYPE: 2025-08-14T21:52:55.1549473Z ##[endgroup] 2025-08-14T21:52:56.0333242Z repo: pytorch/pytorch 2025-08-14T21:52:56.0338839Z Search for test log in s3 bucket: ossci-utilization 2025-08-14T21:52:56.0341321Z Downloading logs-test-cpu_inductor_timm-1-2-linux.8xlarge.amx_48128301874.zip 2025-08-14T21:52:56.0341776Z extracting usage_log.txt from zip file logs-test-cpu_inductor_timm-1-2-linux.8xlarge.amx_48128301874.zip 2025-08-14T21:52:56.0345373Z Converted Log Model: UtilizationMetadata: 2025-08-14T21:52:56.0346431Z UtilizationMetadata(level='metadata', workflow_id='16976338999', job_id='48128301874', workflow_name='inductor-periodic', job_name='linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_timm, 1, 2, linux.8xlarge.amx)', usage_collect_interval=1.0, data_model_version=1.5, start_at=1755207312, gpu_count=0, cpu_count=32, gpu_type=None, error=None) 2025-08-14T21:52:56.0347718Z [Db Segments] detected pytest cmd: 9, generated segments: 9 2025-08-14T21:52:56.0347968Z [db model] Peek db timeseries 2025-08-14T21:52:56.0348169Z :{ 2025-08-14T21:52:56.0348321Z "created_at": 1755208375, 2025-08-14T21:52:56.0348510Z "type": "utilization", 2025-08-14T21:52:56.0348677Z "tags": [ 2025-08-14T21:52:56.0348826Z "record" 2025-08-14T21:52:56.0348976Z ], 2025-08-14T21:52:56.0349118Z "time_stamp": 1755207312, 2025-08-14T21:52:56.0349306Z "repo": "pytorch/pytorch", 2025-08-14T21:52:56.0349490Z "workflow_id": 16976338999, 2025-08-14T21:52:56.0349664Z "run_attempt": 1, 2025-08-14T21:52:56.0349901Z "job_id": 48128301874, 2025-08-14T21:52:56.0350091Z "workflow_name": "inductor-periodic", 2025-08-14T21:52:56.0350523Z "job_name": "linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_timm, 1, 2, linux.8xlarge.amx)", 2025-08-14T21:52:56.0350916Z "json_data": "{}" 2025-08-14T21:52:56.0351075Z } 2025-08-14T21:52:56.0351377Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/16976338999/1/48128301874/metadata 2025-08-14T21:52:56.0351990Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/16976338999/1/48128301874/metadata 2025-08-14T21:52:56.0352512Z Writing 204 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/16976338999/1/48128301874/time_series 2025-08-14T21:52:56.0353048Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/16976338999/1/48128301874/time_series 2025-08-14T21:52:56.1405859Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-08-14T21:52:56.1406193Z with: 2025-08-14T21:52:56.1406360Z env: 2025-08-14T21:52:56.1406518Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:52:56.1406855Z DOCKER_CONTAINER_ID: 15c4eda562fa25dae1d827bceb41c94b64c28c3c3c95c95e35207df2176ef02d 2025-08-14T21:52:56.1407241Z DEVICE_NAME: 2025-08-14T21:52:56.1407427Z DEVICE_TYPE: 2025-08-14T21:52:56.1407616Z ##[endgroup] 2025-08-14T21:52:56.1419532Z ##[group]Run set -eou pipefail 2025-08-14T21:52:56.1419782Z set -eou pipefail 2025-08-14T21:52:56.1419980Z  2025-08-14T21:52:56.1420229Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-08-14T21:52:56.1420544Z for _ in $(seq 1440); do 2025-08-14T21:52:56.1420778Z  # Break if no ssh session exists anymore 2025-08-14T21:52:56.1421009Z  if [ "$(who)" = "" ]; then 2025-08-14T21:52:56.1421202Z  break 2025-08-14T21:52:56.1421416Z  fi 2025-08-14T21:52:56.1421577Z  echo "." 2025-08-14T21:52:56.1421749Z  sleep 5 2025-08-14T21:52:56.1421914Z done 2025-08-14T21:52:56.1427238Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:52:56.1427536Z env: 2025-08-14T21:52:56.1427733Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:52:56.1428056Z DOCKER_CONTAINER_ID: 15c4eda562fa25dae1d827bceb41c94b64c28c3c3c95c95e35207df2176ef02d 2025-08-14T21:52:56.1428387Z DEVICE_NAME: 2025-08-14T21:52:56.1428555Z DEVICE_TYPE: 2025-08-14T21:52:56.1428723Z ##[endgroup] 2025-08-14T21:52:56.1453145Z Holding runner for 2 hours until all ssh sessions have logged out 2025-08-14T21:52:56.1525744Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:52:56.1526315Z # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:52:56.1526589Z # shellcheck disable=SC2046 2025-08-14T21:52:56.1526834Z docker stop $(docker ps -q) || true 2025-08-14T21:52:56.1527066Z # Prune all of the docker images 2025-08-14T21:52:56.1527290Z docker system prune -af 2025-08-14T21:52:56.1531988Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:52:56.1532307Z env: 2025-08-14T21:52:56.1532466Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:52:56.1532766Z DOCKER_CONTAINER_ID: 15c4eda562fa25dae1d827bceb41c94b64c28c3c3c95c95e35207df2176ef02d 2025-08-14T21:52:56.1533072Z DEVICE_NAME: 2025-08-14T21:52:56.1533234Z DEVICE_TYPE: 2025-08-14T21:52:56.1533390Z ##[endgroup] 2025-08-14T21:53:07.0675202Z 15c4eda562fa 2025-08-14T21:53:07.5572385Z Deleted Containers: 2025-08-14T21:53:07.5576448Z 15c4eda562fa25dae1d827bceb41c94b64c28c3c3c95c95e35207df2176ef02d 2025-08-14T21:53:07.5576682Z 2025-08-14T21:53:14.4040658Z Deleted Images: 2025-08-14T21:53:14.4041294Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 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'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:53:14.9858271Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-08-14T21:53:14.9870946Z http.https://github.com/.extraheader 2025-08-14T21:53:14.9880910Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-08-14T21:53:14.9923253Z [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' || :" 2025-08-14T21:53:15.0217900Z Entering 'android/libs/fbjni' 2025-08-14T21:53:15.0251635Z http.https://github.com/.extraheader 2025-08-14T21:53:15.0286105Z Entering 'third_party/FP16' 2025-08-14T21:53:15.0324993Z http.https://github.com/.extraheader 2025-08-14T21:53:15.0360415Z Entering 'third_party/FXdiv' 2025-08-14T21:53:15.0394535Z 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'third_party/composable_kernel' 2025-08-14T21:53:15.0965970Z http.https://github.com/.extraheader 2025-08-14T21:53:15.1011737Z Entering 'third_party/cpp-httplib' 2025-08-14T21:53:15.1045576Z http.https://github.com/.extraheader 2025-08-14T21:53:15.1077860Z Entering 'third_party/cpuinfo' 2025-08-14T21:53:15.1114083Z http.https://github.com/.extraheader 2025-08-14T21:53:15.1151978Z Entering 'third_party/cudnn_frontend' 2025-08-14T21:53:15.1188011Z http.https://github.com/.extraheader 2025-08-14T21:53:15.1221970Z Entering 'third_party/cutlass' 2025-08-14T21:53:15.1256088Z http.https://github.com/.extraheader 2025-08-14T21:53:15.1299700Z Entering 'third_party/fbgemm' 2025-08-14T21:53:15.1332914Z http.https://github.com/.extraheader 2025-08-14T21:53:15.1369811Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T21:53:15.1403066Z http.https://github.com/.extraheader 2025-08-14T21:53:15.1435837Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:53:15.1473001Z http.https://github.com/.extraheader 2025-08-14T21:53:15.1513767Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:53:15.1545208Z http.https://github.com/.extraheader 2025-08-14T21:53:15.1584892Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T21:53:15.1617297Z http.https://github.com/.extraheader 2025-08-14T21:53:15.1661957Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T21:53:15.1696659Z http.https://github.com/.extraheader 2025-08-14T21:53:15.1735442Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:53:15.1765603Z http.https://github.com/.extraheader 2025-08-14T21:53:15.1803592Z Entering 'third_party/fbgemm/external/json' 2025-08-14T21:53:15.1837498Z http.https://github.com/.extraheader 2025-08-14T21:53:15.1877813Z Entering 'third_party/flash-attention' 2025-08-14T21:53:15.1916428Z http.https://github.com/.extraheader 2025-08-14T21:53:15.1956196Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:53:15.1988867Z http.https://github.com/.extraheader 2025-08-14T21:53:15.2030732Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:53:15.2062126Z http.https://github.com/.extraheader 2025-08-14T21:53:15.2104061Z Entering 'third_party/flatbuffers' 2025-08-14T21:53:15.2138561Z http.https://github.com/.extraheader 2025-08-14T21:53:15.2176415Z Entering 'third_party/fmt' 2025-08-14T21:53:15.2211510Z http.https://github.com/.extraheader 2025-08-14T21:53:15.2249569Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:53:15.2282873Z http.https://github.com/.extraheader 2025-08-14T21:53:15.2315885Z Entering 'third_party/gloo' 2025-08-14T21:53:15.2350566Z http.https://github.com/.extraheader 2025-08-14T21:53:15.2379642Z Entering 'third_party/googletest' 2025-08-14T21:53:15.2415874Z http.https://github.com/.extraheader 2025-08-14T21:53:15.2452716Z Entering 'third_party/ideep' 2025-08-14T21:53:15.2490538Z http.https://github.com/.extraheader 2025-08-14T21:53:15.2523720Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T21:53:15.2554999Z http.https://github.com/.extraheader 2025-08-14T21:53:15.2599150Z Entering 'third_party/ittapi' 2025-08-14T21:53:15.2630538Z http.https://github.com/.extraheader 2025-08-14T21:53:15.2665489Z Entering 'third_party/kineto' 2025-08-14T21:53:15.2703363Z http.https://github.com/.extraheader 2025-08-14T21:53:15.3700884Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:53:15.3734577Z http.https://github.com/.extraheader 2025-08-14T21:53:15.3774116Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:53:15.3809793Z http.https://github.com/.extraheader 2025-08-14T21:53:15.3847891Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:53:15.3886653Z http.https://github.com/.extraheader 2025-08-14T21:53:15.3922695Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:53:15.3958503Z http.https://github.com/.extraheader 2025-08-14T21:53:15.3995463Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:53:15.4029264Z http.https://github.com/.extraheader 2025-08-14T21:53:15.4063890Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:53:15.4100302Z http.https://github.com/.extraheader 2025-08-14T21:53:15.4139066Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:53:15.4170819Z http.https://github.com/.extraheader 2025-08-14T21:53:15.4206374Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:53:15.4241892Z http.https://github.com/.extraheader 2025-08-14T21:53:15.4277631Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:53:15.4309040Z http.https://github.com/.extraheader 2025-08-14T21:53:15.4345771Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:53:15.4385020Z http.https://github.com/.extraheader 2025-08-14T21:53:15.4433017Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:53:15.4462476Z http.https://github.com/.extraheader 2025-08-14T21:53:15.4498618Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:53:15.4531068Z http.https://github.com/.extraheader 2025-08-14T21:53:15.4564262Z Entering 'third_party/kleidiai' 2025-08-14T21:53:15.4603152Z http.https://github.com/.extraheader 2025-08-14T21:53:15.4641731Z Entering 'third_party/mimalloc' 2025-08-14T21:53:15.4673425Z http.https://github.com/.extraheader 2025-08-14T21:53:15.4714021Z Entering 'third_party/nlohmann' 2025-08-14T21:53:15.4749172Z http.https://github.com/.extraheader 2025-08-14T21:53:15.4784794Z Entering 'third_party/onnx' 2025-08-14T21:53:15.4822101Z http.https://github.com/.extraheader 2025-08-14T21:53:15.4870226Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T21:53:15.4909015Z http.https://github.com/.extraheader 2025-08-14T21:53:15.4949244Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T21:53:15.4983219Z http.https://github.com/.extraheader 2025-08-14T21:53:15.5022683Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:53:15.5054892Z http.https://github.com/.extraheader 2025-08-14T21:53:15.5088362Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:53:15.5121484Z http.https://github.com/.extraheader 2025-08-14T21:53:15.5161651Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:53:15.5197530Z http.https://github.com/.extraheader 2025-08-14T21:53:15.5230103Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:53:15.5264618Z http.https://github.com/.extraheader 2025-08-14T21:53:15.5304421Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:53:15.5338516Z http.https://github.com/.extraheader 2025-08-14T21:53:15.5375603Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:53:15.5410761Z http.https://github.com/.extraheader 2025-08-14T21:53:15.5446477Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:53:15.5478189Z http.https://github.com/.extraheader 2025-08-14T21:53:15.5516144Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:53:15.5551156Z http.https://github.com/.extraheader 2025-08-14T21:53:15.5583825Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:53:15.5620925Z http.https://github.com/.extraheader 2025-08-14T21:53:15.5659935Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:53:15.5697227Z http.https://github.com/.extraheader 2025-08-14T21:53:15.5748805Z Entering 'third_party/pocketfft' 2025-08-14T21:53:15.5781188Z http.https://github.com/.extraheader 2025-08-14T21:53:15.5815540Z Entering 'third_party/protobuf' 2025-08-14T21:53:15.5847321Z http.https://github.com/.extraheader 2025-08-14T21:53:15.5883290Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:53:15.5917944Z http.https://github.com/.extraheader 2025-08-14T21:53:15.5960685Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T21:53:15.5994796Z http.https://github.com/.extraheader 2025-08-14T21:53:15.6036097Z Entering 'third_party/psimd' 2025-08-14T21:53:15.6066371Z http.https://github.com/.extraheader 2025-08-14T21:53:15.6107707Z Entering 'third_party/pthreadpool' 2025-08-14T21:53:15.6143017Z http.https://github.com/.extraheader 2025-08-14T21:53:15.6174357Z Entering 'third_party/pybind11' 2025-08-14T21:53:15.6211913Z http.https://github.com/.extraheader 2025-08-14T21:53:15.6246356Z Entering 'third_party/python-peachpy' 2025-08-14T21:53:15.6277000Z http.https://github.com/.extraheader 2025-08-14T21:53:15.6317231Z Entering 'third_party/sleef' 2025-08-14T21:53:15.6354846Z http.https://github.com/.extraheader 2025-08-14T21:53:15.6392527Z Entering 'third_party/tensorpipe' 2025-08-14T21:53:15.6424817Z http.https://github.com/.extraheader 2025-08-14T21:53:15.6461056Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:53:15.6491985Z http.https://github.com/.extraheader 2025-08-14T21:53:15.6531457Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:53:15.6566872Z http.https://github.com/.extraheader 2025-08-14T21:53:15.6599194Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:53:15.6631033Z http.https://github.com/.extraheader 2025-08-14T21:53:15.6666133Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:53:15.6702583Z http.https://github.com/.extraheader 2025-08-14T21:53:15.6740596Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:53:15.6772270Z http.https://github.com/.extraheader 2025-08-14T21:53:15.6903919Z A job completed hook has been configured by the self-hosted runner administrator 2025-08-14T21:53:15.6916989Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh' 2025-08-14T21:53:15.6920168Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:53:15.6920497Z ##[endgroup] 2025-08-14T21:53:15.7009102Z [!ALERT!] Swap in detected! [!ALERT!] 2025-08-14T21:53:24.2992555Z [!ALERT!] Swap out detected [!ALERT!] 2025-08-14T21:53:38.8376290Z Cleaning up orphan processes