2025-08-14T21:24:07.6282512Z Current runner version: '2.328.0' 2025-08-14T21:24:07.6288549Z Runner name: 'i-08f1d77d22745dc3c' 2025-08-14T21:24:07.6289307Z Runner group name: 'default' 2025-08-14T21:24:07.6290051Z Machine name: 'ip-10-0-41-134' 2025-08-14T21:24:07.6292358Z ##[group]GITHUB_TOKEN Permissions 2025-08-14T21:24:07.6294936Z Contents: read 2025-08-14T21:24:07.6295379Z Metadata: read 2025-08-14T21:24:07.6296158Z ##[endgroup] 2025-08-14T21:24:07.6298460Z Secret source: Actions 2025-08-14T21:24:07.6299040Z Prepare workflow directory 2025-08-14T21:24:07.6739497Z Prepare all required actions 2025-08-14T21:24:07.6775746Z Getting action download info 2025-08-14T21:24:08.0180906Z Download action repository 'pytorch/test-infra@main' (SHA:83f58f391e939c10dcb8cb6d745e4cefa3b98a84) 2025-08-14T21:24:09.4571051Z Download action repository 'pytorch/pytorch@main' (SHA:3be70dc30e893b552fc0f23ca06cd8f7949b6d08) 2025-08-14T21:24:23.6551264Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-08-14T21:24:23.9928053Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-08-14T21:24:24.2447830Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-08-14T21:24:24.4369633Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-08-14T21:24:24.7176896Z Getting action download info 2025-08-14T21:24:24.8547456Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-08-14T21:24:25.1281791Z Getting action download info 2025-08-14T21:24:25.2639872Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-08-14T21:24:25.4707989Z Getting action download info 2025-08-14T21:24:25.5733951Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-08-14T21:24:25.7729793Z Getting action download info 2025-08-14T21:24:25.9050789Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (1fc683cf17c8c673044538d10266c00f92987be2) 2025-08-14T21:24:25.9054293Z ##[group] Inputs 2025-08-14T21:24:25.9054610Z build-environment: linux-jammy-py3.9-gcc11-build 2025-08-14T21:24:25.9057174Z 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"}]} 2025-08-14T21:24:25.9060084Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:24:25.9060688Z sync-tag: 2025-08-14T21:24:25.9061408Z timeout-minutes: 240 2025-08-14T21:24:25.9061614Z use-gha: 2025-08-14T21:24:25.9062094Z dashboard-tag: 2025-08-14T21:24:25.9062388Z s3-bucket: gha-artifacts 2025-08-14T21:24:25.9062614Z aws-role-to-assume: 2025-08-14T21:24:25.9063040Z disable-monitor: false 2025-08-14T21:24:25.9063273Z monitor-log-interval: 5 2025-08-14T21:24:25.9063516Z monitor-data-collect-interval: 1 2025-08-14T21:24:25.9063773Z ##[endgroup] 2025-08-14T21:24:25.9064217Z Complete job name: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:24:25.9577520Z A job started hook has been configured by the self-hosted runner administrator 2025-08-14T21:24:25.9661671Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-08-14T21:24:25.9669235Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:24:25.9669852Z ##[endgroup] 2025-08-14T21:24:26.9768474Z Runner Type: linux.8xlarge.amx 2025-08-14T21:24:26.9769005Z Instance Type: m7i-flex.8xlarge 2025-08-14T21:24:26.9769475Z AMI Name: unknown 2025-08-14T21:24:26.9794756Z AMI ID: ami-05ffe3c48a9991133 2025-08-14T21:24:31.5933565Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-08-14T21:24:31.5934005Z with: 2025-08-14T21:24:31.5934654Z github-secret: *** 2025-08-14T21:24:31.5935242Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-08-14T21:24:31.5935829Z activate-with-label: false 2025-08-14T21:24:31.5936116Z label: with-ssh 2025-08-14T21:24:31.5936423Z remove-existing-keys: true 2025-08-14T21:24:31.5936670Z fail-silently: true 2025-08-14T21:24:31.5937050Z env: 2025-08-14T21:24:31.5937325Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:24:31.5937590Z ##[endgroup] 2025-08-14T21:24:31.6966357Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-08-14T21:24:31.6967388Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-08-14T21:24:31.7094311Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-08-14T21:24:31.7094802Z with: 2025-08-14T21:24:31.7095092Z no-sudo: true 2025-08-14T21:24:31.7095417Z submodules: recursive 2025-08-14T21:24:31.7095745Z fetch-depth: 0 2025-08-14T21:24:31.7096003Z env: 2025-08-14T21:24:31.7096789Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:24:31.7097148Z ##[endgroup] 2025-08-14T21:24:31.7260925Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:24:31.7261557Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:24:31.7269753Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:24:31.7270025Z env: 2025-08-14T21:24:31.7270214Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:24:31.7270419Z ##[endgroup] 2025-08-14T21:24:31.7350871Z ##[group]Run # Use all available CPUs for fetching 2025-08-14T21:24:31.7351241Z # Use all available CPUs for fetching 2025-08-14T21:24:31.7351512Z cd "${GITHUB_WORKSPACE}" 2025-08-14T21:24:31.7351802Z git config --global fetch.parallel 0 2025-08-14T21:24:31.7352079Z git config --global submodule.fetchJobs 0 2025-08-14T21:24:31.7352322Z  2025-08-14T21:24:31.7352579Z # Clean workspace. The default checkout action should also do this, but 2025-08-14T21:24:31.7353097Z # do it here as well just in case 2025-08-14T21:24:31.7353333Z if [[ -d .git ]]; then 2025-08-14T21:24:31.7353546Z  if [ -z "${NO_SUDO}" ]; then 2025-08-14T21:24:31.7353776Z  sudo git clean -ffdx 2025-08-14T21:24:31.7353989Z  else 2025-08-14T21:24:31.7354162Z  git clean -ffdx 2025-08-14T21:24:31.7354361Z  fi 2025-08-14T21:24:31.7354525Z fi 2025-08-14T21:24:31.7359110Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:24:31.7359514Z env: 2025-08-14T21:24:31.7359783Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:24:31.7359997Z NO_SUDO: true 2025-08-14T21:24:31.7360160Z ##[endgroup] 2025-08-14T21:24:31.7466544Z ##[group]Run actions/checkout@v4 2025-08-14T21:24:31.7466797Z with: 2025-08-14T21:24:31.7466992Z ref: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:24:31.7467238Z fetch-depth: 0 2025-08-14T21:24:31.7467426Z submodules: recursive 2025-08-14T21:24:31.7467622Z show-progress: false 2025-08-14T21:24:31.7467825Z repository: pytorch/pytorch 2025-08-14T21:24:31.7468150Z token: *** 2025-08-14T21:24:31.7468328Z ssh-strict: true 2025-08-14T21:24:31.7468506Z ssh-user: git 2025-08-14T21:24:31.7468690Z persist-credentials: true 2025-08-14T21:24:31.7468888Z clean: true 2025-08-14T21:24:31.7469081Z sparse-checkout-cone-mode: true 2025-08-14T21:24:31.7469295Z fetch-tags: false 2025-08-14T21:24:31.7469470Z lfs: false 2025-08-14T21:24:31.7469642Z set-safe-directory: true 2025-08-14T21:24:31.7469853Z env: 2025-08-14T21:24:31.7470027Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:24:31.7470211Z ##[endgroup] 2025-08-14T21:24:31.8458736Z Syncing repository: pytorch/pytorch 2025-08-14T21:24:31.8459867Z ##[group]Getting Git version info 2025-08-14T21:24:31.8460209Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-08-14T21:24:31.8460677Z [command]/usr/bin/git version 2025-08-14T21:24:31.8460887Z git version 2.47.1 2025-08-14T21:24:31.8463219Z ##[endgroup] 2025-08-14T21:24:31.8472963Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/7862a1da-6d99-4064-8ee3-3cac9c68eae5/.gitconfig' 2025-08-14T21:24:31.8490363Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/7862a1da-6d99-4064-8ee3-3cac9c68eae5' before making global git config changes 2025-08-14T21:24:31.8491094Z Adding repository directory to the temporary git global config as a safe directory 2025-08-14T21:24:31.8497001Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:24:31.8532399Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-08-14T21:24:31.8539972Z ##[group]Initializing the repository 2025-08-14T21:24:31.8543617Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:24:31.8575718Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-08-14T21:24:31.8576185Z hint: is subject to change. To configure the initial branch name to use in all 2025-08-14T21:24:31.8576662Z hint: of your new repositories, which will suppress this warning, call: 2025-08-14T21:24:31.8576939Z hint: 2025-08-14T21:24:31.8577202Z hint: git config --global init.defaultBranch 2025-08-14T21:24:31.8577447Z hint: 2025-08-14T21:24:31.8577680Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-08-14T21:24:31.8578076Z hint: 'development'. The just-created branch can be renamed via this command: 2025-08-14T21:24:31.8578431Z hint: 2025-08-14T21:24:31.8578606Z hint: git branch -m 2025-08-14T21:24:31.8578942Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-08-14T21:24:31.8582436Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-08-14T21:24:31.8617501Z ##[endgroup] 2025-08-14T21:24:31.8617922Z ##[group]Disabling automatic garbage collection 2025-08-14T21:24:31.8618256Z [command]/usr/bin/git config --local gc.auto 0 2025-08-14T21:24:31.8638966Z ##[endgroup] 2025-08-14T21:24:31.8639284Z ##[group]Setting up auth 2025-08-14T21:24:31.8644347Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-08-14T21:24:31.8673074Z [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' || :" 2025-08-14T21:24:31.8992857Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-08-14T21:24:31.9025552Z [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' || :" 2025-08-14T21:24:31.9303941Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-08-14T21:24:31.9351076Z ##[endgroup] 2025-08-14T21:24:31.9351483Z ##[group]Fetching the repository 2025-08-14T21:24:31.9359419Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-08-14T21:25:17.9564869Z From https://github.com/pytorch/pytorch 2025-08-14T21:25:17.9565335Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-08-14T21:25:17.9568987Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-08-14T21:25:17.9569646Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-08-14T21:25:17.9570131Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-08-14T21:25:17.9570629Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-08-14T21:25:17.9571091Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-08-14T21:25:17.9571531Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-08-14T21:25:17.9571972Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-08-14T21:25:17.9572408Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-08-14T21:25:17.9572783Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-08-14T21:25:17.9574986Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-08-14T21:25:17.9575467Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-08-14T21:25:17.9575923Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-08-14T21:25:17.9576289Z * [new branch] addVllmPin -> origin/addVllmPin 2025-08-14T21:25:17.9576681Z * [new branch] add_windows_testing_back -> origin/add_windows_testing_back 2025-08-14T21:25:17.9577075Z * [new branch] addbuildvllm -> origin/addbuildvllm 2025-08-14T21:25:17.9577415Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-08-14T21:25:17.9577732Z * [new branch] addsimde -> origin/addsimde 2025-08-14T21:25:17.9578064Z * [new branch] addvllpinnedfile -> origin/addvllpinnedfile 2025-08-14T21:25:17.9578458Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-08-14T21:25:17.9578963Z * [new branch] adi/skip_slow_tests -> origin/adi/skip_slow_tests 2025-08-14T21:25:17.9579462Z * [new branch] adi/test -> origin/adi/test 2025-08-14T21:25:17.9579898Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-08-14T21:25:17.9580261Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-08-14T21:25:17.9580594Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-08-14T21:25:17.9580939Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-08-14T21:25:17.9581295Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-08-14T21:25:17.9584877Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-08-14T21:25:17.9585485Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-08-14T21:25:17.9589263Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-08-14T21:25:17.9589735Z * [new branch] albanD-patch-1 -> origin/albanD-patch-1 2025-08-14T21:25:17.9590107Z * [new branch] alt-disable -> origin/alt-disable 2025-08-14T21:25:17.9590503Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-08-14T21:25:17.9590928Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-08-14T21:25:17.9591403Z * [new branch] angelayi/assert_tensor_metadata_device -> origin/angelayi/assert_tensor_metadata_device 2025-08-14T21:25:17.9591900Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-08-14T21:25:17.9592303Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-08-14T21:25:17.9592746Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-08-14T21:25:17.9593400Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-08-14T21:25:17.9593794Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 2025-08-14T21:25:17.9599443Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-08-14T21:25:17.9599873Z * [new branch] angelayi/del_lib -> origin/angelayi/del_lib 2025-08-14T21:25:17.9600244Z * [new branch] angelayi/docs -> origin/angelayi/docs 2025-08-14T21:25:17.9600590Z * [new branch] angelayi/docs2 -> origin/angelayi/docs2 2025-08-14T21:25:17.9600939Z * [new branch] angelayi/fix_pt2 -> origin/angelayi/fix_pt2 2025-08-14T21:25:17.9601558Z * [new branch] angelayi/logging.bak -> origin/angelayi/logging.bak 2025-08-14T21:25:17.9601937Z * [new branch] angelayi/logging2 -> origin/angelayi/logging2 2025-08-14T21:25:17.9602301Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-08-14T21:25:17.9602663Z * [new branch] angelayi/pytree -> origin/angelayi/pytree 2025-08-14T21:25:17.9603023Z * [new branch] angelayi/save_error -> origin/angelayi/save_error 2025-08-14T21:25:17.9603387Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-08-14T21:25:17.9603747Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-08-14T21:25:17.9604144Z * [new branch] angelayi/tensor_nn_module_meta -> origin/angelayi/tensor_nn_module_meta 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2025-08-14T21:25:18.3535781Z * [new branch] zxiiro/get-hardware -> origin/zxiiro/get-hardware 2025-08-14T21:25:18.3536108Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-08-14T21:25:18.3536258Z * [new branch] zxiiro/test -> origin/zxiiro/test 2025-08-14T21:25:18.3537960Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-08-14T21:25:18.3538305Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-08-14T21:25:18.3538703Z * [new tag] ciflow/binaries/138996 -> ciflow/binaries/138996 2025-08-14T21:25:18.3540366Z * [new tag] ciflow/binaries/143959 -> ciflow/binaries/143959 2025-08-14T21:25:18.3540693Z * [new tag] ciflow/binaries/154595 -> ciflow/binaries/154595 2025-08-14T21:25:18.3540872Z * [new tag] ciflow/binaries/156049 -> ciflow/binaries/156049 2025-08-14T21:25:18.3541127Z * [new tag] ciflow/binaries/156712 -> ciflow/binaries/156712 2025-08-14T21:25:18.3541475Z * [new tag] ciflow/binaries/157432 -> ciflow/binaries/157432 2025-08-14T21:25:18.3542922Z * [new tag] ciflow/binaries/157685 -> ciflow/binaries/157685 2025-08-14T21:25:18.3543242Z * [new tag] ciflow/binaries/157689 -> ciflow/binaries/157689 2025-08-14T21:25:18.3543393Z * [new tag] ciflow/binaries/158104 -> ciflow/binaries/158104 2025-08-14T21:25:18.3543626Z * [new tag] ciflow/binaries/158623 -> ciflow/binaries/158623 2025-08-14T21:25:18.3543875Z * [new tag] ciflow/binaries/159827 -> ciflow/binaries/159827 2025-08-14T21:25:18.3546717Z * [new tag] ciflow/binaries/159869 -> ciflow/binaries/159869 2025-08-14T21:25:18.3547051Z * [new tag] ciflow/binaries/160593 -> ciflow/binaries/160593 2025-08-14T21:25:18.3547523Z * [new tag] ciflow/binaries_libtorch/143959 -> ciflow/binaries_libtorch/143959 2025-08-14T21:25:18.3547734Z * [new tag] ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049 2025-08-14T21:25:18.3547930Z * [new tag] ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432 2025-08-14T21:25:18.3548095Z * [new tag] ciflow/binaries_wheel/143959 -> ciflow/binaries_wheel/143959 2025-08-14T21:25:18.3548242Z * [new tag] ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049 2025-08-14T21:25:18.3548400Z * [new tag] ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432 2025-08-14T21:25:18.3548918Z * [new tag] ciflow/binaries_wheel/158733 -> ciflow/binaries_wheel/158733 2025-08-14T21:25:18.3549459Z * [new tag] ciflow/binaries_wheel/160301 -> ciflow/binaries_wheel/160301 2025-08-14T21:25:18.3549997Z * [new tag] ciflow/binaries_wheel/160496 -> ciflow/binaries_wheel/160496 2025-08-14T21:25:18.3550870Z * [new tag] ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703 2025-08-14T21:25:18.3551215Z * [new tag] ciflow/h100-symm-mem/151845 -> ciflow/h100-symm-mem/151845 2025-08-14T21:25:18.3551734Z * [new tag] ciflow/h100-symm-mem/155923 -> ciflow/h100-symm-mem/155923 2025-08-14T21:25:18.3552304Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-08-14T21:25:18.3552970Z * [new tag] ciflow/h100-symm-mem/159118 -> ciflow/h100-symm-mem/159118 2025-08-14T21:25:18.3553764Z * [new tag] ciflow/h100-symm-mem/159562 -> ciflow/h100-symm-mem/159562 2025-08-14T21:25:18.3553917Z * [new tag] ciflow/h100-symm-mem/159889 -> ciflow/h100-symm-mem/159889 2025-08-14T21:25:18.3557729Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-08-14T21:25:18.3558194Z * [new tag] ciflow/h100/160450 -> ciflow/h100/160450 2025-08-14T21:25:18.3558463Z * [new tag] ciflow/h100/160480 -> ciflow/h100/160480 2025-08-14T21:25:18.3558601Z * [new tag] ciflow/h100/160614 -> ciflow/h100/160614 2025-08-14T21:25:18.3558919Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/151845 -> ciflow/inductor-perf-test-nightly-rocm/151845 2025-08-14T21:25:18.3559171Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/160538 -> ciflow/inductor-perf-test-nightly-rocm/160538 2025-08-14T21:25:18.3559571Z * [new tag] ciflow/inductor-perf-test-nightly-x86-zen/156599 -> ciflow/inductor-perf-test-nightly-x86-zen/156599 2025-08-14T21:25:18.3559850Z * [new tag] ciflow/inductor-periodic/160406 -> ciflow/inductor-periodic/160406 2025-08-14T21:25:18.3560537Z * [new tag] ciflow/inductor-periodic/160538 -> ciflow/inductor-periodic/160538 2025-08-14T21:25:18.3560743Z * [new tag] ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845 2025-08-14T21:25:18.3561053Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-08-14T21:25:18.3561346Z * [new tag] ciflow/inductor-rocm/160073 -> ciflow/inductor-rocm/160073 2025-08-14T21:25:18.3561829Z * [new tag] ciflow/inductor-rocm/160538 -> ciflow/inductor-rocm/160538 2025-08-14T21:25:18.3562383Z * [new tag] ciflow/inductor/134881 -> ciflow/inductor/134881 2025-08-14T21:25:18.3562809Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-08-14T21:25:18.3563214Z * [new tag] ciflow/inductor/144516 -> ciflow/inductor/144516 2025-08-14T21:25:18.3563670Z * [new tag] ciflow/inductor/146506 -> ciflow/inductor/146506 2025-08-14T21:25:18.3564138Z * [new tag] ciflow/inductor/147360 -> ciflow/inductor/147360 2025-08-14T21:25:18.3564576Z * [new tag] ciflow/inductor/147990 -> ciflow/inductor/147990 2025-08-14T21:25:18.3565019Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-08-14T21:25:18.3565481Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-08-14T21:25:18.3565924Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-08-14T21:25:18.3567256Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-08-14T21:25:18.3567432Z * [new tag] ciflow/inductor/150302 -> ciflow/inductor/150302 2025-08-14T21:25:18.3572127Z * [new tag] ciflow/inductor/151845 -> ciflow/inductor/151845 2025-08-14T21:25:18.3572304Z * [new tag] ciflow/inductor/152198 -> ciflow/inductor/152198 2025-08-14T21:25:18.3572434Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-08-14T21:25:18.3572593Z * [new tag] ciflow/inductor/153966 -> ciflow/inductor/153966 2025-08-14T21:25:18.3572754Z * [new tag] ciflow/inductor/154193 -> ciflow/inductor/154193 2025-08-14T21:25:18.3572874Z * [new tag] ciflow/inductor/154650 -> ciflow/inductor/154650 2025-08-14T21:25:18.3573002Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-08-14T21:25:18.3573122Z * [new tag] ciflow/inductor/155072 -> ciflow/inductor/155072 2025-08-14T21:25:18.3573242Z * [new tag] ciflow/inductor/155152 -> ciflow/inductor/155152 2025-08-14T21:25:18.3573372Z * [new tag] ciflow/inductor/155153 -> ciflow/inductor/155153 2025-08-14T21:25:18.3573492Z * [new tag] ciflow/inductor/155154 -> ciflow/inductor/155154 2025-08-14T21:25:18.3573627Z * [new tag] ciflow/inductor/155501 -> ciflow/inductor/155501 2025-08-14T21:25:18.3573891Z * [new tag] ciflow/inductor/155502 -> ciflow/inductor/155502 2025-08-14T21:25:18.3574045Z * [new tag] ciflow/inductor/155503 -> ciflow/inductor/155503 2025-08-14T21:25:18.3574249Z * [new tag] ciflow/inductor/155504 -> ciflow/inductor/155504 2025-08-14T21:25:18.3579216Z * [new tag] ciflow/inductor/155557 -> ciflow/inductor/155557 2025-08-14T21:25:18.3579388Z * [new tag] ciflow/inductor/155608 -> ciflow/inductor/155608 2025-08-14T21:25:18.3579625Z * [new tag] ciflow/inductor/155923 -> ciflow/inductor/155923 2025-08-14T21:25:18.3579758Z * [new tag] ciflow/inductor/155928 -> ciflow/inductor/155928 2025-08-14T21:25:18.3579892Z * [new tag] ciflow/inductor/155958 -> ciflow/inductor/155958 2025-08-14T21:25:18.3580017Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-08-14T21:25:18.3580173Z * [new tag] ciflow/inductor/156851 -> ciflow/inductor/156851 2025-08-14T21:25:18.3580305Z * [new tag] ciflow/inductor/156967 -> ciflow/inductor/156967 2025-08-14T21:25:18.3580433Z * [new tag] ciflow/inductor/157148 -> ciflow/inductor/157148 2025-08-14T21:25:18.3580572Z * [new tag] ciflow/inductor/157149 -> ciflow/inductor/157149 2025-08-14T21:25:18.3580694Z * [new tag] ciflow/inductor/157152 -> ciflow/inductor/157152 2025-08-14T21:25:18.3580825Z * [new tag] ciflow/inductor/157542 -> ciflow/inductor/157542 2025-08-14T21:25:18.3581393Z * [new tag] ciflow/inductor/157572 -> ciflow/inductor/157572 2025-08-14T21:25:18.3581556Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-08-14T21:25:18.3581906Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-08-14T21:25:18.3582423Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-08-14T21:25:18.3582985Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-08-14T21:25:18.3583251Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-08-14T21:25:18.3588323Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-08-14T21:25:18.3588498Z * [new tag] ciflow/inductor/157944 -> ciflow/inductor/157944 2025-08-14T21:25:18.3588646Z * [new tag] ciflow/inductor/157971 -> ciflow/inductor/157971 2025-08-14T21:25:18.3588786Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-08-14T21:25:18.3588918Z * [new tag] ciflow/inductor/158061 -> ciflow/inductor/158061 2025-08-14T21:25:18.3589046Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-08-14T21:25:18.3589195Z * [new tag] ciflow/inductor/158097 -> ciflow/inductor/158097 2025-08-14T21:25:18.3589325Z * [new tag] ciflow/inductor/158098 -> ciflow/inductor/158098 2025-08-14T21:25:18.3589450Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-08-14T21:25:18.3589582Z * [new tag] ciflow/inductor/158168 -> ciflow/inductor/158168 2025-08-14T21:25:18.3589710Z * [new tag] ciflow/inductor/158250 -> ciflow/inductor/158250 2025-08-14T21:25:18.3589842Z * [new tag] ciflow/inductor/158321 -> ciflow/inductor/158321 2025-08-14T21:25:18.3589965Z * [new tag] ciflow/inductor/158609 -> ciflow/inductor/158609 2025-08-14T21:25:18.3590088Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-08-14T21:25:18.3590591Z * [new tag] ciflow/inductor/158914 -> ciflow/inductor/158914 2025-08-14T21:25:18.3591122Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-08-14T21:25:18.3591437Z * [new tag] ciflow/inductor/158987 -> ciflow/inductor/158987 2025-08-14T21:25:18.3592011Z * [new tag] ciflow/inductor/159009 -> ciflow/inductor/159009 2025-08-14T21:25:18.3592632Z * [new tag] ciflow/inductor/159010 -> ciflow/inductor/159010 2025-08-14T21:25:18.3593127Z * [new tag] ciflow/inductor/159093 -> ciflow/inductor/159093 2025-08-14T21:25:18.3593727Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-08-14T21:25:18.3594185Z * [new tag] ciflow/inductor/159197 -> ciflow/inductor/159197 2025-08-14T21:25:18.3595178Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-08-14T21:25:18.3595436Z * [new tag] ciflow/inductor/159281 -> ciflow/inductor/159281 2025-08-14T21:25:18.3595658Z * [new tag] ciflow/inductor/159329 -> ciflow/inductor/159329 2025-08-14T21:25:18.3596626Z * [new tag] ciflow/inductor/159361 -> ciflow/inductor/159361 2025-08-14T21:25:18.3596914Z * [new tag] ciflow/inductor/159365 -> ciflow/inductor/159365 2025-08-14T21:25:18.3597319Z * [new tag] ciflow/inductor/159366 -> ciflow/inductor/159366 2025-08-14T21:25:18.3597860Z * [new tag] ciflow/inductor/159367 -> ciflow/inductor/159367 2025-08-14T21:25:18.3598346Z * [new tag] ciflow/inductor/159368 -> ciflow/inductor/159368 2025-08-14T21:25:18.3601749Z * [new tag] ciflow/inductor/159473 -> ciflow/inductor/159473 2025-08-14T21:25:18.3601928Z * [new tag] ciflow/inductor/159483 -> ciflow/inductor/159483 2025-08-14T21:25:18.3602059Z * [new tag] ciflow/inductor/159508 -> ciflow/inductor/159508 2025-08-14T21:25:18.3602184Z * [new tag] ciflow/inductor/159523 -> ciflow/inductor/159523 2025-08-14T21:25:18.3602334Z * [new tag] ciflow/inductor/159678 -> ciflow/inductor/159678 2025-08-14T21:25:18.3602664Z * [new tag] ciflow/inductor/159691 -> ciflow/inductor/159691 2025-08-14T21:25:18.3602797Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-08-14T21:25:18.3603000Z * [new tag] ciflow/inductor/159786 -> ciflow/inductor/159786 2025-08-14T21:25:18.3603141Z * [new tag] ciflow/inductor/159817 -> ciflow/inductor/159817 2025-08-14T21:25:18.3603311Z * [new tag] ciflow/inductor/159842 -> ciflow/inductor/159842 2025-08-14T21:25:18.3603927Z * [new tag] ciflow/inductor/159864 -> ciflow/inductor/159864 2025-08-14T21:25:18.3605468Z * [new tag] ciflow/inductor/159865 -> ciflow/inductor/159865 2025-08-14T21:25:18.3605799Z * [new tag] ciflow/inductor/159869 -> ciflow/inductor/159869 2025-08-14T21:25:18.3606253Z * [new tag] ciflow/inductor/159875 -> ciflow/inductor/159875 2025-08-14T21:25:18.3606414Z * [new tag] ciflow/inductor/159889 -> ciflow/inductor/159889 2025-08-14T21:25:18.3606661Z * [new tag] ciflow/inductor/159902 -> ciflow/inductor/159902 2025-08-14T21:25:18.3606828Z * [new tag] ciflow/inductor/159923 -> ciflow/inductor/159923 2025-08-14T21:25:18.3607322Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-08-14T21:25:18.3607788Z * [new tag] ciflow/inductor/160004 -> ciflow/inductor/160004 2025-08-14T21:25:18.3608282Z * [new tag] ciflow/inductor/160080 -> ciflow/inductor/160080 2025-08-14T21:25:18.3608855Z * [new tag] ciflow/inductor/160108 -> ciflow/inductor/160108 2025-08-14T21:25:18.3609510Z * [new tag] ciflow/inductor/160109 -> ciflow/inductor/160109 2025-08-14T21:25:18.3610312Z * [new tag] ciflow/inductor/160111 -> ciflow/inductor/160111 2025-08-14T21:25:18.3610477Z * [new tag] ciflow/inductor/160113 -> ciflow/inductor/160113 2025-08-14T21:25:18.3611020Z * [new tag] ciflow/inductor/160127 -> ciflow/inductor/160127 2025-08-14T21:25:18.3611395Z * [new tag] ciflow/inductor/160131 -> ciflow/inductor/160131 2025-08-14T21:25:18.3611892Z * [new tag] ciflow/inductor/160132 -> ciflow/inductor/160132 2025-08-14T21:25:18.3612886Z * [new tag] ciflow/inductor/160136 -> ciflow/inductor/160136 2025-08-14T21:25:18.3613049Z * [new tag] ciflow/inductor/160138 -> ciflow/inductor/160138 2025-08-14T21:25:18.3616939Z * [new tag] ciflow/inductor/160151 -> ciflow/inductor/160151 2025-08-14T21:25:18.3617119Z * [new tag] ciflow/inductor/160152 -> ciflow/inductor/160152 2025-08-14T21:25:18.3617264Z * [new tag] ciflow/inductor/160154 -> ciflow/inductor/160154 2025-08-14T21:25:18.3617401Z * [new tag] ciflow/inductor/160156 -> ciflow/inductor/160156 2025-08-14T21:25:18.3617524Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-08-14T21:25:18.3617645Z * [new tag] ciflow/inductor/160166 -> ciflow/inductor/160166 2025-08-14T21:25:18.3617782Z * [new tag] ciflow/inductor/160168 -> ciflow/inductor/160168 2025-08-14T21:25:18.3618196Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-08-14T21:25:18.3618360Z * [new tag] ciflow/inductor/160181 -> ciflow/inductor/160181 2025-08-14T21:25:18.3618497Z * [new tag] ciflow/inductor/160183 -> ciflow/inductor/160183 2025-08-14T21:25:18.3618848Z * [new tag] ciflow/inductor/160190 -> ciflow/inductor/160190 2025-08-14T21:25:18.3621131Z * [new tag] ciflow/inductor/160198 -> ciflow/inductor/160198 2025-08-14T21:25:18.3621512Z * [new tag] ciflow/inductor/160201 -> ciflow/inductor/160201 2025-08-14T21:25:18.3621653Z * [new tag] ciflow/inductor/160209 -> ciflow/inductor/160209 2025-08-14T21:25:18.3621795Z * [new tag] ciflow/inductor/160218 -> ciflow/inductor/160218 2025-08-14T21:25:18.3621927Z * [new tag] ciflow/inductor/160239 -> ciflow/inductor/160239 2025-08-14T21:25:18.3622160Z * [new tag] ciflow/inductor/160250 -> ciflow/inductor/160250 2025-08-14T21:25:18.3622652Z * [new tag] ciflow/inductor/160253 -> ciflow/inductor/160253 2025-08-14T21:25:18.3623180Z * [new tag] ciflow/inductor/160266 -> ciflow/inductor/160266 2025-08-14T21:25:18.3623827Z * [new tag] ciflow/inductor/160282 -> ciflow/inductor/160282 2025-08-14T21:25:18.3624004Z * [new tag] ciflow/inductor/160298 -> ciflow/inductor/160298 2025-08-14T21:25:18.3624795Z * [new tag] ciflow/inductor/160301 -> ciflow/inductor/160301 2025-08-14T21:25:18.3625070Z * [new tag] ciflow/inductor/160310 -> ciflow/inductor/160310 2025-08-14T21:25:18.3627967Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-08-14T21:25:18.3628144Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-08-14T21:25:18.3628274Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-08-14T21:25:18.3628404Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-08-14T21:25:18.3628541Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-08-14T21:25:18.3628944Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-08-14T21:25:18.3630534Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-08-14T21:25:18.3630677Z * [new tag] ciflow/inductor/160351 -> ciflow/inductor/160351 2025-08-14T21:25:18.3630823Z * [new tag] ciflow/inductor/160353 -> ciflow/inductor/160353 2025-08-14T21:25:18.3630948Z * [new tag] ciflow/inductor/160362 -> ciflow/inductor/160362 2025-08-14T21:25:18.3631212Z * [new tag] ciflow/inductor/160363 -> ciflow/inductor/160363 2025-08-14T21:25:18.3631724Z * [new tag] ciflow/inductor/160364 -> ciflow/inductor/160364 2025-08-14T21:25:18.3632179Z * [new tag] ciflow/inductor/160365 -> ciflow/inductor/160365 2025-08-14T21:25:18.3636504Z * [new tag] ciflow/inductor/160366 -> ciflow/inductor/160366 2025-08-14T21:25:18.3636834Z * [new tag] ciflow/inductor/160367 -> ciflow/inductor/160367 2025-08-14T21:25:18.3636980Z * [new tag] ciflow/inductor/160368 -> ciflow/inductor/160368 2025-08-14T21:25:18.3637219Z * [new tag] ciflow/inductor/160369 -> ciflow/inductor/160369 2025-08-14T21:25:18.3637351Z * [new tag] ciflow/inductor/160371 -> ciflow/inductor/160371 2025-08-14T21:25:18.3637605Z * [new tag] ciflow/inductor/160374 -> ciflow/inductor/160374 2025-08-14T21:25:18.3637757Z * [new tag] ciflow/inductor/160375 -> ciflow/inductor/160375 2025-08-14T21:25:18.3638323Z * [new tag] ciflow/inductor/160377 -> ciflow/inductor/160377 2025-08-14T21:25:18.3638488Z * [new tag] ciflow/inductor/160380 -> ciflow/inductor/160380 2025-08-14T21:25:18.3638631Z * [new tag] ciflow/inductor/160381 -> ciflow/inductor/160381 2025-08-14T21:25:18.3638761Z * [new tag] ciflow/inductor/160383 -> ciflow/inductor/160383 2025-08-14T21:25:18.3638890Z * [new tag] ciflow/inductor/160394 -> ciflow/inductor/160394 2025-08-14T21:25:18.3639216Z * [new tag] ciflow/inductor/160401 -> ciflow/inductor/160401 2025-08-14T21:25:18.3639624Z * [new tag] ciflow/inductor/160402 -> ciflow/inductor/160402 2025-08-14T21:25:18.3639778Z * [new tag] ciflow/inductor/160403 -> ciflow/inductor/160403 2025-08-14T21:25:18.3640205Z * [new tag] ciflow/inductor/160424 -> ciflow/inductor/160424 2025-08-14T21:25:18.3640673Z * [new tag] ciflow/inductor/160426 -> ciflow/inductor/160426 2025-08-14T21:25:18.3641512Z * [new tag] ciflow/inductor/160431 -> ciflow/inductor/160431 2025-08-14T21:25:18.3641660Z * [new tag] ciflow/inductor/160448 -> ciflow/inductor/160448 2025-08-14T21:25:18.3645205Z * [new tag] ciflow/inductor/160450 -> ciflow/inductor/160450 2025-08-14T21:25:18.3645530Z * [new tag] ciflow/inductor/160455 -> ciflow/inductor/160455 2025-08-14T21:25:18.3645725Z * [new tag] ciflow/inductor/160456 -> ciflow/inductor/160456 2025-08-14T21:25:18.3645937Z * [new tag] ciflow/inductor/160461 -> ciflow/inductor/160461 2025-08-14T21:25:18.3646096Z * [new tag] ciflow/inductor/160462 -> ciflow/inductor/160462 2025-08-14T21:25:18.3646220Z * [new tag] ciflow/inductor/160467 -> ciflow/inductor/160467 2025-08-14T21:25:18.3646342Z * [new tag] ciflow/inductor/160470 -> ciflow/inductor/160470 2025-08-14T21:25:18.3646595Z * [new tag] ciflow/inductor/160473 -> ciflow/inductor/160473 2025-08-14T21:25:18.3647332Z * [new tag] ciflow/inductor/160476 -> ciflow/inductor/160476 2025-08-14T21:25:18.3647497Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-08-14T21:25:18.3647635Z * [new tag] ciflow/inductor/160481 -> ciflow/inductor/160481 2025-08-14T21:25:18.3648073Z * [new tag] ciflow/inductor/160482 -> ciflow/inductor/160482 2025-08-14T21:25:18.3648223Z * [new tag] ciflow/inductor/160483 -> ciflow/inductor/160483 2025-08-14T21:25:18.3648694Z * [new tag] ciflow/inductor/160485 -> ciflow/inductor/160485 2025-08-14T21:25:18.3649922Z * [new tag] ciflow/inductor/160486 -> ciflow/inductor/160486 2025-08-14T21:25:18.3650080Z * [new tag] ciflow/inductor/160503 -> ciflow/inductor/160503 2025-08-14T21:25:18.3650249Z * [new tag] ciflow/inductor/160510 -> ciflow/inductor/160510 2025-08-14T21:25:18.3650734Z * [new tag] ciflow/inductor/160527 -> ciflow/inductor/160527 2025-08-14T21:25:18.3651145Z * [new tag] ciflow/inductor/160530 -> ciflow/inductor/160530 2025-08-14T21:25:18.3652883Z * [new tag] ciflow/inductor/160531 -> ciflow/inductor/160531 2025-08-14T21:25:18.3653218Z * [new tag] ciflow/inductor/160538 -> ciflow/inductor/160538 2025-08-14T21:25:18.3653699Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-08-14T21:25:18.3653853Z * [new tag] ciflow/inductor/160540 -> ciflow/inductor/160540 2025-08-14T21:25:18.3654302Z * [new tag] ciflow/inductor/160548 -> ciflow/inductor/160548 2025-08-14T21:25:18.3654793Z * [new tag] ciflow/inductor/160561 -> ciflow/inductor/160561 2025-08-14T21:25:18.3655989Z * [new tag] ciflow/inductor/160576 -> ciflow/inductor/160576 2025-08-14T21:25:18.3656165Z * [new tag] ciflow/inductor/160578 -> ciflow/inductor/160578 2025-08-14T21:25:18.3656303Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-08-14T21:25:18.3656886Z * [new tag] ciflow/inductor/160583 -> ciflow/inductor/160583 2025-08-14T21:25:18.3660385Z * [new tag] ciflow/inductor/160589 -> ciflow/inductor/160589 2025-08-14T21:25:18.3660880Z * [new tag] ciflow/inductor/160590 -> ciflow/inductor/160590 2025-08-14T21:25:18.3661043Z * [new tag] ciflow/inductor/160592 -> ciflow/inductor/160592 2025-08-14T21:25:18.3661262Z * [new tag] ciflow/inductor/160596 -> ciflow/inductor/160596 2025-08-14T21:25:18.3661412Z * [new tag] ciflow/inductor/160601 -> ciflow/inductor/160601 2025-08-14T21:25:18.3662029Z * [new tag] ciflow/inductor/160607 -> ciflow/inductor/160607 2025-08-14T21:25:18.3662198Z * [new tag] ciflow/inductor/160608 -> ciflow/inductor/160608 2025-08-14T21:25:18.3662336Z * [new tag] ciflow/inductor/160611 -> ciflow/inductor/160611 2025-08-14T21:25:18.3662460Z * [new tag] ciflow/inductor/160614 -> ciflow/inductor/160614 2025-08-14T21:25:18.3662607Z * [new tag] ciflow/inductor/160616 -> ciflow/inductor/160616 2025-08-14T21:25:18.3664025Z * [new tag] ciflow/inductor/160619 -> ciflow/inductor/160619 2025-08-14T21:25:18.3667183Z * [new tag] ciflow/inductor/160625 -> ciflow/inductor/160625 2025-08-14T21:25:18.3667468Z * [new tag] ciflow/inductor/160635 -> ciflow/inductor/160635 2025-08-14T21:25:18.3667764Z * [new tag] ciflow/inductor/160649 -> ciflow/inductor/160649 2025-08-14T21:25:18.3668424Z * [new tag] ciflow/inductor/160658 -> ciflow/inductor/160658 2025-08-14T21:25:18.3669564Z * [new tag] ciflow/inductor/160662 -> ciflow/inductor/160662 2025-08-14T21:25:18.3669825Z * [new tag] ciflow/inductor/160668 -> ciflow/inductor/160668 2025-08-14T21:25:18.3669973Z * [new tag] ciflow/inductor/160669 -> ciflow/inductor/160669 2025-08-14T21:25:18.3670101Z * [new tag] ciflow/inductor/160670 -> ciflow/inductor/160670 2025-08-14T21:25:18.3670370Z * [new tag] ciflow/inductor/160671 -> ciflow/inductor/160671 2025-08-14T21:25:18.3670527Z * [new tag] ciflow/inductor/160677 -> ciflow/inductor/160677 2025-08-14T21:25:18.3670653Z * [new tag] ciflow/inductor/160679 -> ciflow/inductor/160679 2025-08-14T21:25:18.3670802Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-08-14T21:25:18.3670935Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-08-14T21:25:18.3671064Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-08-14T21:25:18.3671366Z * [new tag] ciflow/linux-aarch64/147855 -> ciflow/linux-aarch64/147855 2025-08-14T21:25:18.3671535Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-08-14T21:25:18.3671684Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-08-14T21:25:18.3672075Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-08-14T21:25:18.3672620Z * [new tag] ciflow/linux-aarch64/160299 -> ciflow/linux-aarch64/160299 2025-08-14T21:25:18.3673348Z * [new tag] ciflow/linux-aarch64/160301 -> ciflow/linux-aarch64/160301 2025-08-14T21:25:18.3673739Z * [new tag] ciflow/mps/155923 -> ciflow/mps/155923 2025-08-14T21:25:18.3674100Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-08-14T21:25:18.3674543Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-08-14T21:25:18.3677159Z * [new tag] ciflow/mps/160541 -> ciflow/mps/160541 2025-08-14T21:25:18.3677489Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-08-14T21:25:18.3677656Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-08-14T21:25:18.3677916Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-08-14T21:25:18.3678602Z * [new tag] ciflow/periodic-rocm-mi300/139971 -> ciflow/periodic-rocm-mi300/139971 2025-08-14T21:25:18.3679203Z * [new tag] ciflow/periodic-rocm-mi300/160073 -> ciflow/periodic-rocm-mi300/160073 2025-08-14T21:25:18.3679411Z * [new tag] ciflow/periodic-rocm-mi300/160538 -> ciflow/periodic-rocm-mi300/160538 2025-08-14T21:25:18.3679562Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-08-14T21:25:18.3679716Z * [new tag] ciflow/periodic/131296 -> ciflow/periodic/131296 2025-08-14T21:25:18.3679934Z * [new tag] ciflow/periodic/139971 -> ciflow/periodic/139971 2025-08-14T21:25:18.3680436Z * [new tag] ciflow/periodic/143959 -> ciflow/periodic/143959 2025-08-14T21:25:18.3680869Z * [new tag] ciflow/periodic/154595 -> ciflow/periodic/154595 2025-08-14T21:25:18.3681339Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-08-14T21:25:18.3685557Z * [new tag] ciflow/periodic/160201 -> ciflow/periodic/160201 2025-08-14T21:25:18.3685755Z * [new tag] ciflow/periodic/160424 -> ciflow/periodic/160424 2025-08-14T21:25:18.3685906Z * [new tag] ciflow/periodic/160538 -> ciflow/periodic/160538 2025-08-14T21:25:18.3686345Z * [new tag] ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65 2025-08-14T21:25:18.3686492Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-08-14T21:25:18.3686829Z * [new tag] ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b -> ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b 2025-08-14T21:25:18.3687084Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-08-14T21:25:18.3687234Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-08-14T21:25:18.3687370Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-08-14T21:25:18.3687899Z * [new tag] ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee 2025-08-14T21:25:18.3688644Z * [new tag] ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93 -> ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93 2025-08-14T21:25:18.3689109Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-08-14T21:25:18.3692392Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-08-14T21:25:18.3692632Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-08-14T21:25:18.3692838Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-08-14T21:25:18.3693195Z * [new tag] ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51 -> ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51 2025-08-14T21:25:18.3693355Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-08-14T21:25:18.3693541Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-08-14T21:25:18.3693983Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-08-14T21:25:18.3695181Z * [new tag] ciflow/rocm-mi300/151360 -> ciflow/rocm-mi300/151360 2025-08-14T21:25:18.3695526Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-08-14T21:25:18.3695675Z * [new tag] ciflow/rocm-mi300/160073 -> ciflow/rocm-mi300/160073 2025-08-14T21:25:18.3696002Z * [new tag] ciflow/rocm-mi300/160468 -> ciflow/rocm-mi300/160468 2025-08-14T21:25:18.3697425Z * [new tag] ciflow/rocm-mi300/160538 -> ciflow/rocm-mi300/160538 2025-08-14T21:25:18.3697972Z * [new tag] ciflow/rocm-mi355/160215 -> ciflow/rocm-mi355/160215 2025-08-14T21:25:18.3698134Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-08-14T21:25:18.3698460Z * [new tag] ciflow/rocm/151360 -> ciflow/rocm/151360 2025-08-14T21:25:18.3698915Z * [new tag] ciflow/rocm/151845 -> ciflow/rocm/151845 2025-08-14T21:25:18.3700046Z * [new tag] ciflow/rocm/154864 -> ciflow/rocm/154864 2025-08-14T21:25:18.3700195Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-08-14T21:25:18.3700569Z * [new tag] ciflow/rocm/158219 -> ciflow/rocm/158219 2025-08-14T21:25:18.3701077Z * [new tag] ciflow/rocm/158220 -> ciflow/rocm/158220 2025-08-14T21:25:18.3701462Z * [new tag] ciflow/rocm/158224 -> ciflow/rocm/158224 2025-08-14T21:25:18.3701987Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-08-14T21:25:18.3702309Z * [new tag] ciflow/rocm/160215 -> ciflow/rocm/160215 2025-08-14T21:25:18.3702768Z * [new tag] ciflow/rocm/160468 -> ciflow/rocm/160468 2025-08-14T21:25:18.3705639Z * [new tag] ciflow/rocm/160538 -> ciflow/rocm/160538 2025-08-14T21:25:18.3705801Z * [new tag] ciflow/s390/143959 -> ciflow/s390/143959 2025-08-14T21:25:18.3706231Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-08-14T21:25:18.3706383Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-08-14T21:25:18.3706765Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-08-14T21:25:18.3707150Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-08-14T21:25:18.3707299Z * [new tag] ciflow/slow/154595 -> ciflow/slow/154595 2025-08-14T21:25:18.3707592Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-08-14T21:25:18.3712016Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-08-14T21:25:18.3712183Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-08-14T21:25:18.3712634Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-08-14T21:25:18.3713026Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-08-14T21:25:18.3713172Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-08-14T21:25:18.3713299Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-08-14T21:25:18.3713446Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-08-14T21:25:18.3713804Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-08-14T21:25:18.3716084Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-08-14T21:25:18.3716596Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-08-14T21:25:18.3716730Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-08-14T21:25:18.3716854Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-08-14T21:25:18.3717012Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-08-14T21:25:18.3717368Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-08-14T21:25:18.3717513Z * [new tag] ciflow/trunk/131296 -> ciflow/trunk/131296 2025-08-14T21:25:18.3717780Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-08-14T21:25:18.3717954Z * [new tag] ciflow/trunk/138996 -> ciflow/trunk/138996 2025-08-14T21:25:18.3718137Z * [new tag] ciflow/trunk/139971 -> ciflow/trunk/139971 2025-08-14T21:25:18.3719079Z * [new tag] ciflow/trunk/147360 -> ciflow/trunk/147360 2025-08-14T21:25:18.3719221Z * [new tag] ciflow/trunk/147855 -> ciflow/trunk/147855 2025-08-14T21:25:18.3719607Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-08-14T21:25:18.3720052Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-08-14T21:25:18.3722060Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-08-14T21:25:18.3722404Z * [new tag] ciflow/trunk/150282 -> ciflow/trunk/150282 2025-08-14T21:25:18.3722800Z * [new tag] ciflow/trunk/150302 -> ciflow/trunk/150302 2025-08-14T21:25:18.3722952Z * [new tag] ciflow/trunk/151845 -> ciflow/trunk/151845 2025-08-14T21:25:18.3723171Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-08-14T21:25:18.3730868Z * [new tag] ciflow/trunk/154193 -> ciflow/trunk/154193 2025-08-14T21:25:18.3735836Z * [new tag] ciflow/trunk/154595 -> ciflow/trunk/154595 2025-08-14T21:25:18.3739494Z * [new tag] ciflow/trunk/154650 -> ciflow/trunk/154650 2025-08-14T21:25:18.3741409Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-08-14T21:25:18.3741919Z * [new tag] ciflow/trunk/155958 -> ciflow/trunk/155958 2025-08-14T21:25:18.3742371Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-08-14T21:25:18.3743023Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-08-14T21:25:18.3743489Z * [new tag] ciflow/trunk/156851 -> ciflow/trunk/156851 2025-08-14T21:25:18.3743927Z * [new tag] ciflow/trunk/157148 -> ciflow/trunk/157148 2025-08-14T21:25:18.3744762Z * [new tag] ciflow/trunk/157152 -> ciflow/trunk/157152 2025-08-14T21:25:18.3745156Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-08-14T21:25:18.3745461Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-08-14T21:25:18.3745774Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-08-14T21:25:18.3746075Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-08-14T21:25:18.3746379Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-08-14T21:25:18.3746718Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-08-14T21:25:18.3747022Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-08-14T21:25:18.3747352Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-08-14T21:25:18.3747651Z * [new tag] ciflow/trunk/158219 -> ciflow/trunk/158219 2025-08-14T21:25:18.3747953Z * [new tag] ciflow/trunk/158220 -> ciflow/trunk/158220 2025-08-14T21:25:18.3748256Z * [new tag] ciflow/trunk/158224 -> ciflow/trunk/158224 2025-08-14T21:25:18.3748559Z * [new tag] ciflow/trunk/158529 -> ciflow/trunk/158529 2025-08-14T21:25:18.3748855Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-08-14T21:25:18.3749149Z * [new tag] ciflow/trunk/158810 -> ciflow/trunk/158810 2025-08-14T21:25:18.3749471Z * [new tag] ciflow/trunk/158812 -> ciflow/trunk/158812 2025-08-14T21:25:18.3749785Z * [new tag] ciflow/trunk/158863 -> ciflow/trunk/158863 2025-08-14T21:25:18.3750266Z * [new tag] ciflow/trunk/158864 -> ciflow/trunk/158864 2025-08-14T21:25:18.3750563Z * [new tag] ciflow/trunk/158883 -> ciflow/trunk/158883 2025-08-14T21:25:18.3750869Z * [new tag] ciflow/trunk/158914 -> ciflow/trunk/158914 2025-08-14T21:25:18.3751165Z * [new tag] ciflow/trunk/158965 -> ciflow/trunk/158965 2025-08-14T21:25:18.3751473Z * [new tag] ciflow/trunk/158987 -> ciflow/trunk/158987 2025-08-14T21:25:18.3751770Z * [new tag] ciflow/trunk/159033 -> ciflow/trunk/159033 2025-08-14T21:25:18.3752073Z * [new tag] ciflow/trunk/159140 -> ciflow/trunk/159140 2025-08-14T21:25:18.3752382Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-08-14T21:25:18.3752702Z * [new tag] ciflow/trunk/159553 -> ciflow/trunk/159553 2025-08-14T21:25:18.3753273Z * [new tag] ciflow/trunk/159562 -> ciflow/trunk/159562 2025-08-14T21:25:18.3753591Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-08-14T21:25:18.3753912Z * [new tag] ciflow/trunk/159691 -> ciflow/trunk/159691 2025-08-14T21:25:18.3754224Z * [new tag] ciflow/trunk/159842 -> ciflow/trunk/159842 2025-08-14T21:25:18.3754547Z * [new tag] ciflow/trunk/159889 -> ciflow/trunk/159889 2025-08-14T21:25:18.3754857Z * [new tag] ciflow/trunk/159923 -> ciflow/trunk/159923 2025-08-14T21:25:18.3755177Z * [new tag] ciflow/trunk/160004 -> ciflow/trunk/160004 2025-08-14T21:25:18.3755488Z * [new tag] ciflow/trunk/160113 -> ciflow/trunk/160113 2025-08-14T21:25:18.3755806Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-08-14T21:25:18.3756203Z * [new tag] ciflow/trunk/160168 -> ciflow/trunk/160168 2025-08-14T21:25:18.3756557Z * [new tag] ciflow/trunk/160181 -> ciflow/trunk/160181 2025-08-14T21:25:18.3756869Z * [new tag] ciflow/trunk/160183 -> ciflow/trunk/160183 2025-08-14T21:25:18.3757184Z * [new tag] ciflow/trunk/160190 -> ciflow/trunk/160190 2025-08-14T21:25:18.3757493Z * [new tag] ciflow/trunk/160198 -> ciflow/trunk/160198 2025-08-14T21:25:18.3757805Z * [new tag] ciflow/trunk/160205 -> ciflow/trunk/160205 2025-08-14T21:25:18.3758118Z * [new tag] ciflow/trunk/160219 -> ciflow/trunk/160219 2025-08-14T21:25:18.3758423Z * [new tag] ciflow/trunk/160224 -> ciflow/trunk/160224 2025-08-14T21:25:18.3758738Z * [new tag] ciflow/trunk/160250 -> ciflow/trunk/160250 2025-08-14T21:25:18.3759054Z * [new tag] ciflow/trunk/160253 -> ciflow/trunk/160253 2025-08-14T21:25:18.3759360Z * [new tag] ciflow/trunk/160335 -> ciflow/trunk/160335 2025-08-14T21:25:18.3759659Z * [new tag] ciflow/trunk/160338 -> ciflow/trunk/160338 2025-08-14T21:25:18.3759944Z * [new tag] ciflow/trunk/160383 -> ciflow/trunk/160383 2025-08-14T21:25:18.3760247Z * [new tag] ciflow/trunk/160401 -> ciflow/trunk/160401 2025-08-14T21:25:18.3760549Z * [new tag] ciflow/trunk/160403 -> ciflow/trunk/160403 2025-08-14T21:25:18.3760848Z * [new tag] ciflow/trunk/160430 -> ciflow/trunk/160430 2025-08-14T21:25:18.3761151Z * [new tag] ciflow/trunk/160431 -> ciflow/trunk/160431 2025-08-14T21:25:18.3761437Z * [new tag] ciflow/trunk/160439 -> ciflow/trunk/160439 2025-08-14T21:25:18.3761717Z * [new tag] ciflow/trunk/160449 -> ciflow/trunk/160449 2025-08-14T21:25:18.3762052Z * [new tag] ciflow/trunk/160454 -> ciflow/trunk/160454 2025-08-14T21:25:18.3762353Z * [new tag] ciflow/trunk/160468 -> ciflow/trunk/160468 2025-08-14T21:25:18.3762639Z * [new tag] ciflow/trunk/160481 -> ciflow/trunk/160481 2025-08-14T21:25:18.3762919Z * [new tag] ciflow/trunk/160485 -> ciflow/trunk/160485 2025-08-14T21:25:18.3763210Z * [new tag] ciflow/trunk/160519 -> ciflow/trunk/160519 2025-08-14T21:25:18.3763513Z * [new tag] ciflow/trunk/160527 -> ciflow/trunk/160527 2025-08-14T21:25:18.3763802Z * [new tag] ciflow/trunk/160560 -> ciflow/trunk/160560 2025-08-14T21:25:18.3764083Z * [new tag] ciflow/trunk/160578 -> ciflow/trunk/160578 2025-08-14T21:25:18.3764369Z * [new tag] ciflow/trunk/160589 -> ciflow/trunk/160589 2025-08-14T21:25:18.3764657Z * [new tag] ciflow/trunk/160592 -> ciflow/trunk/160592 2025-08-14T21:25:18.3764941Z * [new tag] ciflow/trunk/160649 -> ciflow/trunk/160649 2025-08-14T21:25:18.3765228Z * [new tag] ciflow/trunk/160656 -> ciflow/trunk/160656 2025-08-14T21:25:18.3765520Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-08-14T21:25:18.3765815Z * [new tag] ciflow/vllm/160116 -> ciflow/vllm/160116 2025-08-14T21:25:18.3766101Z * [new tag] ciflow/vllm/160583 -> ciflow/vllm/160583 2025-08-14T21:25:18.3766399Z * [new tag] ciflow/vllm/160619 -> ciflow/vllm/160619 2025-08-14T21:25:18.3766685Z * [new tag] ciflow/vllm/160625 -> ciflow/vllm/160625 2025-08-14T21:25:18.3766968Z * [new tag] ciflow/vllm/160627 -> ciflow/vllm/160627 2025-08-14T21:25:18.3767311Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-08-14T21:25:18.3767637Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-08-14T21:25:18.3767948Z * [new tag] ciflow/win-arm64/159553 -> ciflow/win-arm64/159553 2025-08-14T21:25:18.3768250Z * [new tag] ciflow/win-arm64/159562 -> ciflow/win-arm64/159562 2025-08-14T21:25:18.3768548Z * [new tag] ciflow/win-arm64/159777 -> ciflow/win-arm64/159777 2025-08-14T21:25:18.3768850Z * [new tag] ciflow/win-arm64/159780 -> ciflow/win-arm64/159780 2025-08-14T21:25:18.3769150Z * [new tag] ciflow/win-arm64/159842 -> ciflow/win-arm64/159842 2025-08-14T21:25:18.3769442Z * [new tag] ciflow/win-arm64/160250 -> ciflow/win-arm64/160250 2025-08-14T21:25:18.3769774Z * [new tag] ciflow/win-arm64/160253 -> ciflow/win-arm64/160253 2025-08-14T21:25:18.3770073Z * [new tag] ciflow/win-arm64/160454 -> ciflow/win-arm64/160454 2025-08-14T21:25:18.3770841Z * [new tag] ciflow/win-arm64/160560 -> ciflow/win-arm64/160560 2025-08-14T21:25:18.3771153Z * [new tag] ciflow/xpu/138996 -> ciflow/xpu/138996 2025-08-14T21:25:18.3771452Z * [new tag] ciflow/xpu/139971 -> ciflow/xpu/139971 2025-08-14T21:25:18.3771734Z * [new tag] ciflow/xpu/140972 -> ciflow/xpu/140972 2025-08-14T21:25:18.3772019Z * [new tag] ciflow/xpu/143553 -> ciflow/xpu/143553 2025-08-14T21:25:18.3772312Z * [new tag] ciflow/xpu/156272 -> ciflow/xpu/156272 2025-08-14T21:25:18.3777242Z * [new tag] ciflow/xpu/156812 -> ciflow/xpu/156812 2025-08-14T21:25:18.3781818Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-08-14T21:25:18.3784224Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-08-14T21:25:18.3788485Z * [new tag] ciflow/xpu/158336 -> ciflow/xpu/158336 2025-08-14T21:25:18.3789021Z * [new tag] ciflow/xpu/158733 -> ciflow/xpu/158733 2025-08-14T21:25:18.3789325Z * [new tag] ciflow/xpu/159033 -> ciflow/xpu/159033 2025-08-14T21:25:18.3789605Z * [new tag] ciflow/xpu/159118 -> ciflow/xpu/159118 2025-08-14T21:25:18.3789899Z * [new tag] ciflow/xpu/159140 -> ciflow/xpu/159140 2025-08-14T21:25:18.3790185Z * [new tag] ciflow/xpu/159241 -> ciflow/xpu/159241 2025-08-14T21:25:18.3790469Z * [new tag] ciflow/xpu/159473 -> ciflow/xpu/159473 2025-08-14T21:25:18.3790747Z * [new tag] ciflow/xpu/159474 -> ciflow/xpu/159474 2025-08-14T21:25:18.3791032Z * [new tag] ciflow/xpu/159553 -> ciflow/xpu/159553 2025-08-14T21:25:18.3791325Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-08-14T21:25:18.3791619Z * [new tag] ciflow/xpu/160062 -> ciflow/xpu/160062 2025-08-14T21:25:18.3791894Z * [new tag] ciflow/xpu/160067 -> ciflow/xpu/160067 2025-08-14T21:25:18.3792177Z * [new tag] ciflow/xpu/160158 -> ciflow/xpu/160158 2025-08-14T21:25:18.3792462Z * [new tag] ciflow/xpu/160173 -> ciflow/xpu/160173 2025-08-14T21:25:18.3792737Z * [new tag] ciflow/xpu/160183 -> ciflow/xpu/160183 2025-08-14T21:25:18.3793258Z * [new tag] ciflow/xpu/160301 -> ciflow/xpu/160301 2025-08-14T21:25:18.3793548Z * [new tag] ciflow/xpu/160403 -> ciflow/xpu/160403 2025-08-14T21:25:18.3793834Z * [new tag] ciflow/xpu/160606 -> ciflow/xpu/160606 2025-08-14T21:25:18.3794122Z * [new tag] cslpull75 -> cslpull75 2025-08-14T21:25:18.3794461Z * [new tag] cslpull76 -> cslpull76 2025-08-14T21:25:18.3794739Z * [new tag] cslpull77 -> cslpull77 2025-08-14T21:25:18.3794999Z * [new tag] cslpull78 -> cslpull78 2025-08-14T21:25:18.3795262Z * [new tag] cslpull79 -> cslpull79 2025-08-14T21:25:18.3795527Z * [new tag] cslpull80 -> cslpull80 2025-08-14T21:25:18.3795790Z * [new tag] cslpull81 -> cslpull81 2025-08-14T21:25:18.3796046Z * [new tag] cslpull82 -> cslpull82 2025-08-14T21:25:18.3796311Z * [new tag] cslpull83 -> cslpull83 2025-08-14T21:25:18.3796756Z * [new tag] cslpull84 -> cslpull84 2025-08-14T21:25:18.3797018Z * [new tag] cslpull85 -> cslpull85 2025-08-14T21:25:18.3797286Z * [new tag] cslpull86 -> cslpull86 2025-08-14T21:25:18.3797557Z * [new tag] cslpull87 -> cslpull87 2025-08-14T21:25:18.3797822Z * [new tag] cslpull88 -> cslpull88 2025-08-14T21:25:18.3798082Z * [new tag] cslpull89 -> cslpull89 2025-08-14T21:25:18.3798349Z * [new tag] cslpull90 -> cslpull90 2025-08-14T21:25:18.3798615Z * [new tag] cslpull91 -> cslpull91 2025-08-14T21:25:18.3798882Z * [new tag] cslpull92 -> cslpull92 2025-08-14T21:25:18.3799150Z * [new tag] flight_5 -> flight_5 2025-08-14T21:25:18.3799432Z * [new tag] flight_5.1 -> flight_5.1 2025-08-14T21:25:18.3799703Z * [new tag] flight_5.2 -> flight_5.2 2025-08-14T21:25:18.3799959Z * [new tag] flight_5.3 -> flight_5.3 2025-08-14T21:25:18.3800243Z * [new tag] forpull1 -> forpull1 2025-08-14T21:25:18.3800646Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-08-14T21:25:18.3800951Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-08-14T21:25:18.3801254Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-08-14T21:25:18.3801563Z * [new tag] nightly-binary -> nightly-binary 2025-08-14T21:25:18.3801926Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-08-14T21:25:18.3802253Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-08-14T21:25:18.3802684Z * [new tag] trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6 -> trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6 2025-08-14T21:25:18.3803244Z * [new tag] trunk/017259f9c65b6fad55fb9597d7077e2543eaae46 -> trunk/017259f9c65b6fad55fb9597d7077e2543eaae46 2025-08-14T21:25:18.3803805Z * [new tag] trunk/01bcf9a40dea937637d2cdd530bed2652510943d -> trunk/01bcf9a40dea937637d2cdd530bed2652510943d 2025-08-14T21:25:18.3804361Z * [new tag] trunk/01f66d08d93365015f4af005a252f439c4d4013a -> trunk/01f66d08d93365015f4af005a252f439c4d4013a 2025-08-14T21:25:18.3804893Z * [new tag] trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e -> trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e 2025-08-14T21:25:18.3805447Z * [new tag] trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb -> trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb 2025-08-14T21:25:18.3805989Z * [new tag] trunk/05c19d1acecc01b0d2512364183058a6885b9869 -> trunk/05c19d1acecc01b0d2512364183058a6885b9869 2025-08-14T21:25:18.3806511Z * [new tag] trunk/05c417715f791875fbf28cfc3fc86142de1a3206 -> trunk/05c417715f791875fbf28cfc3fc86142de1a3206 2025-08-14T21:25:18.3807120Z * [new tag] trunk/06824f3c7268bb807a422b663047cd0900ddd126 -> trunk/06824f3c7268bb807a422b663047cd0900ddd126 2025-08-14T21:25:18.3807669Z * [new tag] trunk/077cb389746a7d61cfc018aad2ba29a8aa195610 -> trunk/077cb389746a7d61cfc018aad2ba29a8aa195610 2025-08-14T21:25:18.3808216Z * [new tag] trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057 -> trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057 2025-08-14T21:25:18.3808775Z * [new tag] trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1 -> trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1 2025-08-14T21:25:18.3809332Z * [new tag] trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde -> trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde 2025-08-14T21:25:18.3809865Z * [new tag] trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4 -> trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4 2025-08-14T21:25:18.3810386Z * [new tag] trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81 -> trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81 2025-08-14T21:25:18.3810921Z * [new tag] trunk/0d71ca2c46753bb268bfdcf815c14415c122a289 -> trunk/0d71ca2c46753bb268bfdcf815c14415c122a289 2025-08-14T21:25:18.3811472Z * [new tag] trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b -> trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b 2025-08-14T21:25:18.3812016Z * [new tag] trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11 -> trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11 2025-08-14T21:25:18.3812562Z * [new tag] trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca -> trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca 2025-08-14T21:25:18.3813108Z * [new tag] trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483 -> trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483 2025-08-14T21:25:18.3813646Z * [new tag] trunk/1028c5e2d50e121865bf98307e7c035f549a24b2 -> trunk/1028c5e2d50e121865bf98307e7c035f549a24b2 2025-08-14T21:25:18.3814168Z * [new tag] trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e -> trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e 2025-08-14T21:25:18.3814742Z * [new tag] trunk/10e3514c962b58cbbee994257872a626ff76d51b -> trunk/10e3514c962b58cbbee994257872a626ff76d51b 2025-08-14T21:25:18.3815266Z * [new tag] trunk/1128f4c2a822cbe34a9d966306af15097179ffe1 -> trunk/1128f4c2a822cbe34a9d966306af15097179ffe1 2025-08-14T21:25:18.3815803Z * [new tag] trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e -> trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e 2025-08-14T21:25:18.3816372Z * [new tag] trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76 -> trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76 2025-08-14T21:25:18.3816917Z * [new tag] trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91 -> trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91 2025-08-14T21:25:18.3817457Z * [new tag] trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8 -> trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8 2025-08-14T21:25:18.3818005Z * [new tag] trunk/15e49f61643e4c0eef420f0981609709ef55b848 -> trunk/15e49f61643e4c0eef420f0981609709ef55b848 2025-08-14T21:25:18.3818533Z * [new tag] trunk/16d15445f8bd8740095b23de4af89d757af793ca -> trunk/16d15445f8bd8740095b23de4af89d757af793ca 2025-08-14T21:25:18.3819060Z * [new tag] trunk/178515d0ff6833c8e9221482b2a650ab31e00019 -> trunk/178515d0ff6833c8e9221482b2a650ab31e00019 2025-08-14T21:25:18.3819599Z * [new tag] trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe -> trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe 2025-08-14T21:25:18.3820162Z * [new tag] trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf -> trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf 2025-08-14T21:25:18.3820726Z * [new tag] trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca -> trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca 2025-08-14T21:25:18.3821269Z * [new tag] trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014 -> trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014 2025-08-14T21:25:18.3821851Z * [new tag] trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a -> trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a 2025-08-14T21:25:18.3822405Z * [new tag] trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7 -> trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7 2025-08-14T21:25:18.3822942Z * [new tag] trunk/1c2587119152cec3905647a47c65d3d26619c5a8 -> trunk/1c2587119152cec3905647a47c65d3d26619c5a8 2025-08-14T21:25:18.3823976Z * [new tag] trunk/1c26c53851c212a7c90a325549a72f0571613a8c -> trunk/1c26c53851c212a7c90a325549a72f0571613a8c 2025-08-14T21:25:18.3824519Z * [new tag] trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613 -> trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613 2025-08-14T21:25:18.3825069Z * [new tag] trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3 -> trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3 2025-08-14T21:25:18.3825621Z * [new tag] trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc -> trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc 2025-08-14T21:25:18.3826260Z * [new tag] trunk/1f4057c11ac941fb324386ca594d0a6882185aad -> trunk/1f4057c11ac941fb324386ca594d0a6882185aad 2025-08-14T21:25:18.3828276Z * [new tag] trunk/1fc683cf17c8c673044538d10266c00f92987be2 -> trunk/1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:25:18.3828846Z * [new tag] trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65 2025-08-14T21:25:18.3829391Z * [new tag] trunk/206c1eef6571f906c2792d899a09136b3fce9673 -> trunk/206c1eef6571f906c2792d899a09136b3fce9673 2025-08-14T21:25:18.3829935Z * [new tag] trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb -> trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb 2025-08-14T21:25:18.3830462Z * [new tag] trunk/21392c0e06ac2b2621950455975ca6332f0bf641 -> trunk/21392c0e06ac2b2621950455975ca6332f0bf641 2025-08-14T21:25:18.3830995Z * [new tag] trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6 -> trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6 2025-08-14T21:25:18.3831578Z * [new tag] trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d -> trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d 2025-08-14T21:25:18.3832119Z * [new tag] trunk/231c72240d80091f099c95e326d3600cba866eee -> trunk/231c72240d80091f099c95e326d3600cba866eee 2025-08-14T21:25:18.3832679Z * [new tag] trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c -> trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c 2025-08-14T21:25:18.3833404Z * [new tag] trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd -> trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd 2025-08-14T21:25:18.3833961Z * [new tag] trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9 -> trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9 2025-08-14T21:25:18.3834524Z * [new tag] trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227 -> trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227 2025-08-14T21:25:18.3835065Z * [new tag] trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72 -> trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72 2025-08-14T21:25:18.3835613Z * [new tag] trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c -> trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c 2025-08-14T21:25:18.3836166Z * [new tag] trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31 -> trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31 2025-08-14T21:25:18.3836732Z * [new tag] trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad -> trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad 2025-08-14T21:25:18.3837329Z * [new tag] trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1 -> trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1 2025-08-14T21:25:18.3837882Z * [new tag] trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51 -> trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51 2025-08-14T21:25:18.3838466Z * [new tag] trunk/2ee22e435131369a7e4f8cc4732579acc29a941b -> trunk/2ee22e435131369a7e4f8cc4732579acc29a941b 2025-08-14T21:25:18.3839002Z * [new tag] trunk/2f4c2226175512af787725c4d5ad7313c60d4db1 -> trunk/2f4c2226175512af787725c4d5ad7313c60d4db1 2025-08-14T21:25:18.3839540Z * [new tag] trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5 -> trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5 2025-08-14T21:25:18.3840074Z * [new tag] trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2 -> trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2 2025-08-14T21:25:18.3840603Z * [new tag] trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6 -> trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6 2025-08-14T21:25:18.3841743Z * [new tag] trunk/305fa2239365ad17ac9c534a68bba8a149c42d67 -> trunk/305fa2239365ad17ac9c534a68bba8a149c42d67 2025-08-14T21:25:18.3842353Z * [new tag] trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706 -> trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706 2025-08-14T21:25:18.3848262Z * [new tag] trunk/32099961d588fc19ead8afe805d6b5108de75669 -> trunk/32099961d588fc19ead8afe805d6b5108de75669 2025-08-14T21:25:18.3848892Z * [new tag] trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047 -> trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047 2025-08-14T21:25:18.3849459Z * [new tag] trunk/334b38ccc4427b1d14981c48a3a0b92180d58225 -> trunk/334b38ccc4427b1d14981c48a3a0b92180d58225 2025-08-14T21:25:18.3850026Z * [new tag] trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513 -> trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513 2025-08-14T21:25:18.3850579Z * [new tag] trunk/33d94018668951611b318b7515ae96f04e48eac0 -> trunk/33d94018668951611b318b7515ae96f04e48eac0 2025-08-14T21:25:18.3851105Z * [new tag] trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb -> trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb 2025-08-14T21:25:18.3851667Z * [new tag] trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673 -> trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673 2025-08-14T21:25:18.3852372Z * [new tag] trunk/355462e1278d818deb9ef4a184073d5b66074816 -> trunk/355462e1278d818deb9ef4a184073d5b66074816 2025-08-14T21:25:18.3852891Z * [new tag] trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919 -> trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919 2025-08-14T21:25:18.3853401Z * [new tag] trunk/36f46d082a4954921cb8493223f000f2aab79ed7 -> trunk/36f46d082a4954921cb8493223f000f2aab79ed7 2025-08-14T21:25:18.3853921Z * [new tag] trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2 -> trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2 2025-08-14T21:25:18.3854438Z * [new tag] trunk/3a562374401113187ce2566b87e3f1d87d7c53aa -> trunk/3a562374401113187ce2566b87e3f1d87d7c53aa 2025-08-14T21:25:18.3854963Z * [new tag] trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae -> trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae 2025-08-14T21:25:18.3855486Z * [new tag] trunk/3be70dc30e893b552fc0f23ca06cd8f7949b6d08 -> trunk/3be70dc30e893b552fc0f23ca06cd8f7949b6d08 2025-08-14T21:25:18.3856039Z * [new tag] trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0 -> trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0 2025-08-14T21:25:18.3856572Z * [new tag] trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2 -> trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2 2025-08-14T21:25:18.3857095Z * [new tag] trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f -> trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f 2025-08-14T21:25:18.3857627Z * [new tag] trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0 -> trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0 2025-08-14T21:25:18.3858150Z * [new tag] trunk/3faee0a6318afcbbbb48687009a459214910d820 -> trunk/3faee0a6318afcbbbb48687009a459214910d820 2025-08-14T21:25:18.3858725Z * [new tag] trunk/3fcd79e023da7156ac584992ebab29205d3b7881 -> trunk/3fcd79e023da7156ac584992ebab29205d3b7881 2025-08-14T21:25:18.3859257Z * [new tag] trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6 -> trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6 2025-08-14T21:25:18.3859793Z * [new tag] trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23 -> trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23 2025-08-14T21:25:18.3860323Z * [new tag] trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60 -> trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60 2025-08-14T21:25:18.3860867Z * [new tag] trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d -> trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d 2025-08-14T21:25:18.3861410Z * [new tag] trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f -> trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f 2025-08-14T21:25:18.3861945Z * [new tag] trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3 -> trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3 2025-08-14T21:25:18.3862458Z * [new tag] trunk/45ba7ecda876685b083cbbe932450560c566826b -> trunk/45ba7ecda876685b083cbbe932450560c566826b 2025-08-14T21:25:18.3862996Z * [new tag] trunk/47a1db823dfcdacdb99f317428fc3791a18c5812 -> trunk/47a1db823dfcdacdb99f317428fc3791a18c5812 2025-08-14T21:25:18.3863547Z * [new tag] trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee 2025-08-14T21:25:18.3864104Z * [new tag] trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3 -> trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3 2025-08-14T21:25:18.3864668Z * [new tag] trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d -> trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d 2025-08-14T21:25:18.3865221Z * [new tag] trunk/4d419a74610c32b1372f8802dcc61893740a23cf -> trunk/4d419a74610c32b1372f8802dcc61893740a23cf 2025-08-14T21:25:18.3865773Z * [new tag] trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235 -> trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235 2025-08-14T21:25:18.3866413Z * [new tag] trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc -> trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc 2025-08-14T21:25:18.3867039Z * [new tag] trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42 -> trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42 2025-08-14T21:25:18.3867597Z * [new tag] trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d -> trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d 2025-08-14T21:25:18.3868161Z * [new tag] trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa -> trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa 2025-08-14T21:25:18.3868710Z * [new tag] trunk/53e39494958b7e2278cc8176f63636e812e8945f -> trunk/53e39494958b7e2278cc8176f63636e812e8945f 2025-08-14T21:25:18.3869257Z * [new tag] trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce -> trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce 2025-08-14T21:25:18.3869811Z * [new tag] trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919 -> trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919 2025-08-14T21:25:18.3870374Z * [new tag] trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3 -> trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3 2025-08-14T21:25:18.3870945Z * [new tag] trunk/56c828bef93eada0e18d2cc013207831ca80cc99 -> trunk/56c828bef93eada0e18d2cc013207831ca80cc99 2025-08-14T21:25:18.3871496Z * [new tag] trunk/5737372862253a0ac0292407a5844796f02380ad -> trunk/5737372862253a0ac0292407a5844796f02380ad 2025-08-14T21:25:18.3872046Z * [new tag] trunk/57f738b6357cc8fcdde479a0948e723809a1a44d -> trunk/57f738b6357cc8fcdde479a0948e723809a1a44d 2025-08-14T21:25:18.3872593Z * [new tag] trunk/5a40c5784482255b9baf14086cc4b9349fc6d512 -> trunk/5a40c5784482255b9baf14086cc4b9349fc6d512 2025-08-14T21:25:18.3873377Z * [new tag] trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307 -> trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307 2025-08-14T21:25:18.3874022Z * [new tag] trunk/5ace061254af71aa83d1baae81aa1864c9746add -> trunk/5ace061254af71aa83d1baae81aa1864c9746add 2025-08-14T21:25:18.3874586Z * [new tag] trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f -> trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f 2025-08-14T21:25:18.3875129Z * [new tag] trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf -> trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf 2025-08-14T21:25:18.3875675Z * [new tag] trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a -> trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a 2025-08-14T21:25:18.3876217Z * [new tag] trunk/5f5f508aa836a46dfe88857fb223049616b94e93 -> trunk/5f5f508aa836a46dfe88857fb223049616b94e93 2025-08-14T21:25:18.3876753Z * [new tag] trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca -> trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca 2025-08-14T21:25:18.3877286Z * [new tag] trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc -> trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc 2025-08-14T21:25:18.3877823Z * [new tag] trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62 -> trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62 2025-08-14T21:25:18.3878339Z * [new tag] trunk/641ee7478150f26969968f49d8b358e199679a8a -> trunk/641ee7478150f26969968f49d8b358e199679a8a 2025-08-14T21:25:18.3878857Z * [new tag] trunk/65053c03a3d209060cb239d20a229dac37cf9dd1 -> trunk/65053c03a3d209060cb239d20a229dac37cf9dd1 2025-08-14T21:25:18.3879470Z * [new tag] trunk/652a6f5954d039d61dc6e6575ccf89d385d74537 -> trunk/652a6f5954d039d61dc6e6575ccf89d385d74537 2025-08-14T21:25:18.3880010Z * [new tag] trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14 -> trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14 2025-08-14T21:25:18.3880551Z * [new tag] trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c -> trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c 2025-08-14T21:25:18.3881096Z * [new tag] trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f -> trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f 2025-08-14T21:25:18.3881662Z * [new tag] trunk/6be6d06295c870c77a6eb69f96b3170d983520d5 -> trunk/6be6d06295c870c77a6eb69f96b3170d983520d5 2025-08-14T21:25:18.3882199Z * [new tag] trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49 -> trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49 2025-08-14T21:25:18.3882732Z * [new tag] trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66 -> trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66 2025-08-14T21:25:18.3883254Z * [new tag] trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7 -> trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7 2025-08-14T21:25:18.3883765Z * [new tag] trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58 -> trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58 2025-08-14T21:25:18.3884275Z * [new tag] trunk/6ee175195ac7853734d64704171993cc6265eb38 -> trunk/6ee175195ac7853734d64704171993cc6265eb38 2025-08-14T21:25:18.3884800Z * [new tag] trunk/6f0f4e0c3eacd479864319127915f869f64e1935 -> trunk/6f0f4e0c3eacd479864319127915f869f64e1935 2025-08-14T21:25:18.3885346Z * [new tag] trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8 -> trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8 2025-08-14T21:25:18.3885881Z * [new tag] trunk/72009ec6bebca7714f99c18449183787f202af4d -> trunk/72009ec6bebca7714f99c18449183787f202af4d 2025-08-14T21:25:18.3886408Z * [new tag] trunk/731ee31f7b6ba19307daab323f6196172b71aaf8 -> trunk/731ee31f7b6ba19307daab323f6196172b71aaf8 2025-08-14T21:25:18.3886959Z * [new tag] trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59 -> trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59 2025-08-14T21:25:18.3887476Z * [new tag] trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41 -> trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41 2025-08-14T21:25:18.3888033Z * [new tag] trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4 -> trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4 2025-08-14T21:25:18.3888570Z * [new tag] trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299 -> trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299 2025-08-14T21:25:18.3889097Z * [new tag] trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114 -> trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114 2025-08-14T21:25:18.3889636Z * [new tag] trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef -> trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef 2025-08-14T21:25:18.3890193Z * [new tag] trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac -> trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac 2025-08-14T21:25:18.3890716Z * [new tag] trunk/7e27347fd353928c99620495c8c531a5eba7d56b -> trunk/7e27347fd353928c99620495c8c531a5eba7d56b 2025-08-14T21:25:18.3891247Z * [new tag] trunk/7e91394955721c77645fcdb75a5d47a255d65020 -> trunk/7e91394955721c77645fcdb75a5d47a255d65020 2025-08-14T21:25:18.3891770Z * [new tag] trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001 -> trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001 2025-08-14T21:25:18.3892298Z * [new tag] trunk/7fbc22855c17741ae016992803b2e147a13aa22d -> trunk/7fbc22855c17741ae016992803b2e147a13aa22d 2025-08-14T21:25:18.3892810Z * [new tag] trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348 -> trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348 2025-08-14T21:25:18.3893330Z * [new tag] trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2 -> trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2 2025-08-14T21:25:18.3893840Z * [new tag] trunk/80cca8307943ba64168208b54028f55b2c71daff -> trunk/80cca8307943ba64168208b54028f55b2c71daff 2025-08-14T21:25:18.3894354Z * [new tag] trunk/8147370733bbdcd034cad54e9212e51885a11892 -> trunk/8147370733bbdcd034cad54e9212e51885a11892 2025-08-14T21:25:18.3894874Z * [new tag] trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26 -> trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26 2025-08-14T21:25:18.3895424Z * [new tag] trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654 -> trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654 2025-08-14T21:25:18.3895949Z * [new tag] trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f -> trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f 2025-08-14T21:25:18.3896629Z * [new tag] trunk/85db508af533649d0b3447ff3f0d5fe083150c84 -> trunk/85db508af533649d0b3447ff3f0d5fe083150c84 2025-08-14T21:25:18.3897179Z * [new tag] trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a -> trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a 2025-08-14T21:25:18.3897729Z * [new tag] trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367 -> trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367 2025-08-14T21:25:18.3898259Z * [new tag] trunk/89654db1abccf7e5f261989a150db4d1619ea2aa -> trunk/89654db1abccf7e5f261989a150db4d1619ea2aa 2025-08-14T21:25:18.3898794Z * [new tag] trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1 -> trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1 2025-08-14T21:25:18.3899325Z * [new tag] trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d -> trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d 2025-08-14T21:25:18.3899847Z * [new tag] trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6 -> trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6 2025-08-14T21:25:18.3900374Z * [new tag] trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0 -> trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0 2025-08-14T21:25:18.3900904Z * [new tag] trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4 -> trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4 2025-08-14T21:25:18.3901446Z * [new tag] trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d -> trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d 2025-08-14T21:25:18.3901984Z * [new tag] trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1 -> trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1 2025-08-14T21:25:18.3902614Z * [new tag] trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347 -> trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347 2025-08-14T21:25:18.3903134Z * [new tag] trunk/8d6d3246316e1767a57d5e855acd6208da753b75 -> trunk/8d6d3246316e1767a57d5e855acd6208da753b75 2025-08-14T21:25:18.3903645Z * [new tag] trunk/8e6a3138581152ab827a0997f34c470271399f5e -> trunk/8e6a3138581152ab827a0997f34c470271399f5e 2025-08-14T21:25:18.3904158Z * [new tag] trunk/8eee08d2279b98af2522debb6512d37e837e89e3 -> trunk/8eee08d2279b98af2522debb6512d37e837e89e3 2025-08-14T21:25:18.3904668Z * [new tag] trunk/90b78ee50f73b5c963996076a3d54b74b1b965be -> trunk/90b78ee50f73b5c963996076a3d54b74b1b965be 2025-08-14T21:25:18.3905187Z * [new tag] trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6 -> trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6 2025-08-14T21:25:18.3905705Z * [new tag] trunk/95210cc409dd578988c7116b47725c304dea54c7 -> trunk/95210cc409dd578988c7116b47725c304dea54c7 2025-08-14T21:25:18.3906222Z * [new tag] trunk/96bd33b2de79598566df395f32e27c4d33673f05 -> trunk/96bd33b2de79598566df395f32e27c4d33673f05 2025-08-14T21:25:18.3906747Z * [new tag] trunk/9708fcf92db88b80b9010c68662d634434da3106 -> trunk/9708fcf92db88b80b9010c68662d634434da3106 2025-08-14T21:25:18.3907288Z * [new tag] trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8 -> trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8 2025-08-14T21:25:18.3907826Z * [new tag] trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8 -> trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8 2025-08-14T21:25:18.3908363Z * [new tag] trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd -> trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd 2025-08-14T21:25:18.3908900Z * [new tag] trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd -> trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd 2025-08-14T21:25:18.3909441Z * [new tag] trunk/9a0f7a3bb01b235ea04581ee540970a098071b72 -> trunk/9a0f7a3bb01b235ea04581ee540970a098071b72 2025-08-14T21:25:18.3910032Z * [new tag] trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8 -> trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8 2025-08-14T21:25:18.3910583Z * [new tag] trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df -> trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df 2025-08-14T21:25:18.3911136Z * [new tag] trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc -> trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc 2025-08-14T21:25:18.3911672Z * [new tag] trunk/9e07673deb212c87b1c6fea23799a97474c476ed -> trunk/9e07673deb212c87b1c6fea23799a97474c476ed 2025-08-14T21:25:18.3912209Z * [new tag] trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09 -> trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09 2025-08-14T21:25:18.3912752Z * [new tag] trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674 -> trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674 2025-08-14T21:25:18.3913360Z * [new tag] trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715 -> trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715 2025-08-14T21:25:18.3913899Z * [new tag] trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69 -> trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69 2025-08-14T21:25:18.3914439Z * [new tag] trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c -> trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c 2025-08-14T21:25:18.3914985Z * [new tag] trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600 -> trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600 2025-08-14T21:25:18.3915524Z * [new tag] trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b -> trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b 2025-08-14T21:25:18.3916066Z * [new tag] trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae -> trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae 2025-08-14T21:25:18.3916698Z * [new tag] trunk/a5652407e4f3d772fc44486ac2abf756decf0861 -> trunk/a5652407e4f3d772fc44486ac2abf756decf0861 2025-08-14T21:25:18.3917255Z * [new tag] trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b -> trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b 2025-08-14T21:25:18.3917804Z * [new tag] trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332 -> trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332 2025-08-14T21:25:18.3918351Z * [new tag] trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883 -> trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883 2025-08-14T21:25:18.3918895Z * [new tag] trunk/adcca7d9a1c053495e99012de801b2ea237faad0 -> trunk/adcca7d9a1c053495e99012de801b2ea237faad0 2025-08-14T21:25:18.3919437Z * [new tag] trunk/af10f1f86cc4effc93142a447693d8be55966615 -> trunk/af10f1f86cc4effc93142a447693d8be55966615 2025-08-14T21:25:18.3919986Z * [new tag] trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c -> trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c 2025-08-14T21:25:18.3920523Z * [new tag] trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107 -> trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107 2025-08-14T21:25:18.3921063Z * [new tag] trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5 -> trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5 2025-08-14T21:25:18.3921601Z * [new tag] trunk/b1a602762e6a6674b406a3137e7e7a678885a97b -> trunk/b1a602762e6a6674b406a3137e7e7a678885a97b 2025-08-14T21:25:18.3922171Z * [new tag] trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc -> trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc 2025-08-14T21:25:18.3922704Z * [new tag] trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753 -> trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753 2025-08-14T21:25:18.3923223Z * [new tag] trunk/b4596895b9d85a686c2cb978938b0a7797b3690a -> trunk/b4596895b9d85a686c2cb978938b0a7797b3690a 2025-08-14T21:25:18.3923759Z * [new tag] trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02 -> trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02 2025-08-14T21:25:18.3924363Z * [new tag] trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf -> trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf 2025-08-14T21:25:18.3924895Z * [new tag] trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64 -> trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64 2025-08-14T21:25:18.3925410Z * [new tag] trunk/b7db86600a2614adc71c92ca42d359a7ac534d78 -> trunk/b7db86600a2614adc71c92ca42d359a7ac534d78 2025-08-14T21:25:18.3925949Z * [new tag] trunk/b9003ed3d87699e81e436719625a21996a6654e5 -> trunk/b9003ed3d87699e81e436719625a21996a6654e5 2025-08-14T21:25:18.3926480Z * [new tag] trunk/b90feeac86bda00afc2789321bcd706015ff44e3 -> trunk/b90feeac86bda00afc2789321bcd706015ff44e3 2025-08-14T21:25:18.3927017Z * [new tag] trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8 -> trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8 2025-08-14T21:25:18.3927557Z * [new tag] trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4 -> trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4 2025-08-14T21:25:18.3928112Z * [new tag] trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491 -> trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491 2025-08-14T21:25:18.3928687Z * [new tag] trunk/bcf23ecc476df2bd7479f142567213e2623308ee -> trunk/bcf23ecc476df2bd7479f142567213e2623308ee 2025-08-14T21:25:18.3929224Z * [new tag] trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff -> trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff 2025-08-14T21:25:18.3929759Z * [new tag] trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941 -> trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941 2025-08-14T21:25:18.3930320Z * [new tag] trunk/bfc873d02ec413344717493e4175a902921359fd -> trunk/bfc873d02ec413344717493e4175a902921359fd 2025-08-14T21:25:18.3930888Z * [new tag] trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca -> trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca 2025-08-14T21:25:18.3931443Z * [new tag] trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431 -> trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431 2025-08-14T21:25:18.3931986Z * [new tag] trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4 -> trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4 2025-08-14T21:25:18.3932518Z * [new tag] trunk/c5ec5458a547f7a774468ea0eb2258d3de596492 -> trunk/c5ec5458a547f7a774468ea0eb2258d3de596492 2025-08-14T21:25:18.3933050Z * [new tag] trunk/c5efc5c8a66eca84865015058b3221013ebfe685 -> trunk/c5efc5c8a66eca84865015058b3221013ebfe685 2025-08-14T21:25:18.3933810Z * [new tag] trunk/c6563341208003f64c131854a9cf029555f786d2 -> trunk/c6563341208003f64c131854a9cf029555f786d2 2025-08-14T21:25:18.3934468Z * [new tag] trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e -> trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e 2025-08-14T21:25:18.3935691Z * [new tag] trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23 -> trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23 2025-08-14T21:25:18.3936331Z * [new tag] trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5 -> trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5 2025-08-14T21:25:18.3936908Z * [new tag] trunk/c86040a8e68f754b90a84099187d3624954c7f36 -> trunk/c86040a8e68f754b90a84099187d3624954c7f36 2025-08-14T21:25:18.3937469Z * [new tag] trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4 -> trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4 2025-08-14T21:25:18.3938045Z * [new tag] trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9 -> trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9 2025-08-14T21:25:18.3938635Z * [new tag] trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff -> trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff 2025-08-14T21:25:18.3939202Z * [new tag] trunk/cbffde774557752cf20447d42d99ec6102673c31 -> trunk/cbffde774557752cf20447d42d99ec6102673c31 2025-08-14T21:25:18.3939790Z * [new tag] trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc -> trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc 2025-08-14T21:25:18.3940523Z * [new tag] trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf -> trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf 2025-08-14T21:25:18.3941102Z * [new tag] trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81 -> trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81 2025-08-14T21:25:18.3941668Z * [new tag] trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0 -> trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0 2025-08-14T21:25:18.3942244Z * [new tag] trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2 -> trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2 2025-08-14T21:25:18.3942825Z * [new tag] trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3 -> trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3 2025-08-14T21:25:18.3943411Z * [new tag] trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c -> trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c 2025-08-14T21:25:18.3943965Z * [new tag] trunk/d3d359dbafa89173a371e2637f22b47398e94a24 -> trunk/d3d359dbafa89173a371e2637f22b47398e94a24 2025-08-14T21:25:18.3944508Z * [new tag] trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1 -> trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1 2025-08-14T21:25:18.3945051Z * [new tag] trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f -> trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f 2025-08-14T21:25:18.3945614Z * [new tag] trunk/d556586448f3caab85673c7da0978fe31c7748f7 -> trunk/d556586448f3caab85673c7da0978fe31c7748f7 2025-08-14T21:25:18.3946160Z * [new tag] trunk/d670304001429a1a833255a918ed788d7ec4989a -> trunk/d670304001429a1a833255a918ed788d7ec4989a 2025-08-14T21:25:18.3946737Z * [new tag] trunk/d6786741a77aba200c78002646cc069b7a1799b0 -> trunk/d6786741a77aba200c78002646cc069b7a1799b0 2025-08-14T21:25:18.3947352Z * [new tag] trunk/d68c323692dedcbb74e670801e3502944fd790ff -> trunk/d68c323692dedcbb74e670801e3502944fd790ff 2025-08-14T21:25:18.3947915Z * [new tag] trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c -> trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c 2025-08-14T21:25:18.3948538Z * [new tag] trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd -> trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd 2025-08-14T21:25:18.3949095Z * [new tag] trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35 -> trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35 2025-08-14T21:25:18.3949671Z * [new tag] trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4 -> trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4 2025-08-14T21:25:18.3950235Z * [new tag] trunk/db763b17175553ba09637362eb9773a91997a7ad -> trunk/db763b17175553ba09637362eb9773a91997a7ad 2025-08-14T21:25:18.3950777Z * [new tag] trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f -> trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f 2025-08-14T21:25:18.3951348Z * [new tag] trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd -> trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd 2025-08-14T21:25:18.3951924Z * [new tag] trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8 -> trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8 2025-08-14T21:25:18.3952503Z * [new tag] trunk/deea71a90e05eb320c04bebfead5317746637f0d -> trunk/deea71a90e05eb320c04bebfead5317746637f0d 2025-08-14T21:25:18.3953314Z * [new tag] trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948 -> trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948 2025-08-14T21:25:18.3953886Z * [new tag] trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df -> trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df 2025-08-14T21:25:18.3954452Z * [new tag] trunk/e248719ac03c103767ab72034f6b9fd56855bf98 -> trunk/e248719ac03c103767ab72034f6b9fd56855bf98 2025-08-14T21:25:18.3955010Z * [new tag] trunk/e49762026070f66be41bfa6537fbcf9bfc24e558 -> trunk/e49762026070f66be41bfa6537fbcf9bfc24e558 2025-08-14T21:25:18.3955641Z * [new tag] trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168 -> trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168 2025-08-14T21:25:18.3956227Z * [new tag] trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f -> trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f 2025-08-14T21:25:18.3956799Z * [new tag] trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58 -> trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58 2025-08-14T21:25:18.3957366Z * [new tag] trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3 -> trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3 2025-08-14T21:25:18.3957927Z * [new tag] trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a -> trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a 2025-08-14T21:25:18.3958481Z * [new tag] trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c -> trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c 2025-08-14T21:25:18.3959035Z * [new tag] trunk/eac2d9d695a32dd456050f45cac35134ec3809f4 -> trunk/eac2d9d695a32dd456050f45cac35134ec3809f4 2025-08-14T21:25:18.3959589Z * [new tag] trunk/ecde76c764752540edf9ef62a97936c86d984b17 -> trunk/ecde76c764752540edf9ef62a97936c86d984b17 2025-08-14T21:25:18.3960141Z * [new tag] trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b -> trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b 2025-08-14T21:25:18.3960712Z * [new tag] trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb -> trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb 2025-08-14T21:25:18.3961250Z * [new tag] trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2 -> trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2 2025-08-14T21:25:18.3961798Z * [new tag] trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e -> trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e 2025-08-14T21:25:18.3962391Z * [new tag] trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c -> trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c 2025-08-14T21:25:18.3962966Z * [new tag] trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c -> trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c 2025-08-14T21:25:18.3963515Z * [new tag] trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76 -> trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76 2025-08-14T21:25:18.3964061Z * [new tag] trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94 -> trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94 2025-08-14T21:25:18.3964603Z * [new tag] trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35 -> trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35 2025-08-14T21:25:18.3965168Z * [new tag] trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640 -> trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640 2025-08-14T21:25:18.3965938Z * [new tag] trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5 -> trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5 2025-08-14T21:25:18.3966913Z * [new tag] trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc -> trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc 2025-08-14T21:25:18.3967556Z * [new tag] trunk/f341077ce4710172da20cfad916ee37159bfe9fe -> trunk/f341077ce4710172da20cfad916ee37159bfe9fe 2025-08-14T21:25:18.3968123Z * [new tag] trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7 -> trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7 2025-08-14T21:25:18.3968731Z * [new tag] trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c -> trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c 2025-08-14T21:25:18.3969387Z * [new tag] trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457 -> trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457 2025-08-14T21:25:18.3969958Z * [new tag] trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344 -> trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344 2025-08-14T21:25:18.3970508Z * [new tag] trunk/f8f0414a5983ff481a2188e0c18594150430c8c5 -> trunk/f8f0414a5983ff481a2188e0c18594150430c8c5 2025-08-14T21:25:18.3971080Z * [new tag] trunk/f95b58c2844b3444cd8446fed8570729dc4216eb -> trunk/f95b58c2844b3444cd8446fed8570729dc4216eb 2025-08-14T21:25:18.3971778Z * [new tag] trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d -> trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d 2025-08-14T21:25:18.3972311Z * [new tag] trunk/fb887c3bb588cfe782615e67f6c26db636b8539b -> trunk/fb887c3bb588cfe782615e67f6c26db636b8539b 2025-08-14T21:25:18.3973064Z * [new tag] trunk/fc25c68f20f772290927a7031b998b92615259cf -> trunk/fc25c68f20f772290927a7031b998b92615259cf 2025-08-14T21:25:18.3973622Z * [new tag] trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb -> trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb 2025-08-14T21:25:18.3974247Z * [new tag] trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb -> trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb 2025-08-14T21:25:18.3974819Z * [new tag] trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08 -> trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08 2025-08-14T21:25:18.3975389Z * [new tag] trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab -> trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab 2025-08-14T21:25:18.3976005Z * [new tag] trunk/ff0d56d03592aa03f3ced8359241d21df1783393 -> trunk/ff0d56d03592aa03f3ced8359241d21df1783393 2025-08-14T21:25:18.3976429Z * [new tag] v0.1.1 -> v0.1.1 2025-08-14T21:25:18.3976866Z * [new tag] v0.1.10 -> v0.1.10 2025-08-14T21:25:18.3977257Z * [new tag] v0.1.11 -> v0.1.11 2025-08-14T21:25:18.3977636Z * [new tag] v0.1.12 -> v0.1.12 2025-08-14T21:25:18.3978028Z * [new tag] v0.1.2 -> v0.1.2 2025-08-14T21:25:18.3983633Z * [new tag] v0.1.3 -> v0.1.3 2025-08-14T21:25:18.3984252Z * [new tag] v0.1.4 -> v0.1.4 2025-08-14T21:25:18.3984663Z * [new tag] v0.1.5 -> v0.1.5 2025-08-14T21:25:18.3985025Z * [new tag] v0.1.6 -> v0.1.6 2025-08-14T21:25:18.3985373Z * [new tag] v0.1.7 -> v0.1.7 2025-08-14T21:25:18.3986249Z * [new tag] v0.1.8 -> v0.1.8 2025-08-14T21:25:18.3986585Z * [new tag] v0.1.9 -> v0.1.9 2025-08-14T21:25:18.3986863Z * [new tag] v0.2.0 -> v0.2.0 2025-08-14T21:25:18.3987128Z * [new tag] v0.3.0 -> v0.3.0 2025-08-14T21:25:18.3987387Z * [new tag] v0.3.1 -> v0.3.1 2025-08-14T21:25:18.3987632Z * [new tag] v0.4.0 -> v0.4.0 2025-08-14T21:25:18.3987886Z * [new tag] v0.4.1 -> v0.4.1 2025-08-14T21:25:18.3988166Z * [new tag] v1.0.0 -> v1.0.0 2025-08-14T21:25:18.3988434Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-08-14T21:25:18.3988691Z * [new tag] v1.0.1 -> v1.0.1 2025-08-14T21:25:18.3988953Z * [new tag] v1.0rc0 -> v1.0rc0 2025-08-14T21:25:18.3989228Z * [new tag] v1.0rc1 -> v1.0rc1 2025-08-14T21:25:18.3989480Z * [new tag] v1.1.0 -> v1.1.0 2025-08-14T21:25:18.3989746Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-08-14T21:25:18.3990011Z * [new tag] v1.10.0 -> v1.10.0 2025-08-14T21:25:18.3990686Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-08-14T21:25:18.3990967Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-08-14T21:25:18.3991622Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-08-14T21:25:18.3992047Z * [new tag] v1.10.1 -> v1.10.1 2025-08-14T21:25:18.3992456Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-08-14T21:25:18.3993218Z * [new tag] v1.10.2 -> v1.10.2 2025-08-14T21:25:18.3993494Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-08-14T21:25:18.3994167Z * [new tag] v1.11.0 -> v1.11.0 2025-08-14T21:25:18.3997589Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-08-14T21:25:18.3998084Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-08-14T21:25:18.3998496Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-08-14T21:25:18.3998839Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-08-14T21:25:18.3999199Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-08-14T21:25:18.3999563Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-08-14T21:25:18.3999948Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-08-14T21:25:18.4000330Z * [new tag] v1.12.0 -> v1.12.0 2025-08-14T21:25:18.4000693Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-08-14T21:25:18.4001371Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-08-14T21:25:18.4001704Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-08-14T21:25:18.4001984Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-08-14T21:25:18.4002421Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-08-14T21:25:18.4003189Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-08-14T21:25:18.4003455Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-08-14T21:25:18.4007964Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-08-14T21:25:18.4008328Z * [new tag] v1.12.1 -> v1.12.1 2025-08-14T21:25:18.4008613Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-08-14T21:25:18.4008878Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-08-14T21:25:18.4009147Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-08-14T21:25:18.4009408Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-08-14T21:25:18.4009671Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-08-14T21:25:18.4009930Z * [new tag] v1.13.0 -> v1.13.0 2025-08-14T21:25:18.4010197Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-08-14T21:25:18.4010463Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-08-14T21:25:18.4010725Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-08-14T21:25:18.4011000Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-08-14T21:25:18.4011114Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-08-14T21:25:18.4011286Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-08-14T21:25:18.4015844Z * [new tag] v1.13.1 -> v1.13.1 2025-08-14T21:25:18.4015995Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-08-14T21:25:18.4016113Z * [new tag] v1.2.0 -> v1.2.0 2025-08-14T21:25:18.4016235Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-08-14T21:25:18.4016337Z * [new tag] v1.3.0 -> v1.3.0 2025-08-14T21:25:18.4016444Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-08-14T21:25:18.4016551Z * [new tag] v1.3.1 -> v1.3.1 2025-08-14T21:25:18.4016660Z * [new tag] v1.4.0 -> v1.4.0 2025-08-14T21:25:18.4016961Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-08-14T21:25:18.4017079Z * [new tag] v1.4.1 -> v1.4.1 2025-08-14T21:25:18.4017216Z * [new tag] v1.5.0 -> v1.5.0 2025-08-14T21:25:18.4018101Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-08-14T21:25:18.4018531Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-08-14T21:25:18.4019900Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-08-14T21:25:18.4020010Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-08-14T21:25:18.4020509Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-08-14T21:25:18.4021024Z * [new tag] v1.5.1 -> v1.5.1 2025-08-14T21:25:18.4021437Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-08-14T21:25:18.4021782Z * [new tag] v1.6.0 -> v1.6.0 2025-08-14T21:25:18.4024796Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-08-14T21:25:18.4025139Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-08-14T21:25:18.4025248Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-08-14T21:25:18.4025359Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-08-14T21:25:18.4025465Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-08-14T21:25:18.4025577Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-08-14T21:25:18.4025878Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-08-14T21:25:18.4027058Z * [new tag] v1.7.0 -> v1.7.0 2025-08-14T21:25:18.4027748Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-08-14T21:25:18.4028252Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-08-14T21:25:18.4029114Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-08-14T21:25:18.4029233Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-08-14T21:25:18.4030267Z * [new tag] v1.7.1 -> v1.7.1 2025-08-14T21:25:18.4030620Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-08-14T21:25:18.4031649Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-08-14T21:25:18.4031939Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-08-14T21:25:18.4032465Z * [new tag] v1.8.0 -> v1.8.0 2025-08-14T21:25:18.4032901Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-08-14T21:25:18.4033821Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-08-14T21:25:18.4034129Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-08-14T21:25:18.4037230Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-08-14T21:25:18.4037363Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-08-14T21:25:18.4037805Z * [new tag] v1.8.1 -> v1.8.1 2025-08-14T21:25:18.4037938Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-08-14T21:25:18.4038042Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-08-14T21:25:18.4038149Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-08-14T21:25:18.4038302Z * [new tag] v1.8.2 -> v1.8.2 2025-08-14T21:25:18.4041572Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-08-14T21:25:18.4041720Z * [new tag] v1.9.0 -> v1.9.0 2025-08-14T21:25:18.4041865Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-08-14T21:25:18.4042139Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-08-14T21:25:18.4042242Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-08-14T21:25:18.4042351Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-08-14T21:25:18.4042501Z * [new tag] v1.9.1 -> v1.9.1 2025-08-14T21:25:18.4043546Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-08-14T21:25:18.4043824Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-08-14T21:25:18.4044369Z * [new tag] v2.0.0 -> v2.0.0 2025-08-14T21:25:18.4048238Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-08-14T21:25:18.4048374Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-08-14T21:25:18.4048493Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-08-14T21:25:18.4048609Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-08-14T21:25:18.4048708Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-08-14T21:25:18.4053948Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-08-14T21:25:18.4054088Z * [new tag] v2.0.1 -> v2.0.1 2025-08-14T21:25:18.4054207Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-08-14T21:25:18.4054309Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-08-14T21:25:18.4054409Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-08-14T21:25:18.4054518Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-08-14T21:25:18.4054617Z * [new tag] v2.1.0 -> v2.1.0 2025-08-14T21:25:18.4054717Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-08-14T21:25:18.4054975Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-08-14T21:25:18.4055088Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-08-14T21:25:18.4055196Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-08-14T21:25:18.4055294Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-08-14T21:25:18.4055392Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-08-14T21:25:18.4060171Z * [new tag] v2.1.1 -> v2.1.1 2025-08-14T21:25:18.4064852Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-08-14T21:25:18.4065024Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-08-14T21:25:18.4065141Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-08-14T21:25:18.4065384Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-08-14T21:25:18.4065522Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-08-14T21:25:18.4065635Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-08-14T21:25:18.4065745Z * [new tag] v2.1.2 -> v2.1.2 2025-08-14T21:25:18.4065991Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-08-14T21:25:18.4066116Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-08-14T21:25:18.4066217Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-08-14T21:25:18.4066323Z * [new tag] v2.2.0 -> v2.2.0 2025-08-14T21:25:18.4066422Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-08-14T21:25:18.4066531Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-08-14T21:25:18.4067145Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-08-14T21:25:18.4067295Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-08-14T21:25:18.4067558Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-08-14T21:25:18.4067668Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-08-14T21:25:18.4067767Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-08-14T21:25:18.4067876Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-08-14T21:25:18.4067984Z * [new tag] v2.2.1 -> v2.2.1 2025-08-14T21:25:18.4068092Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-08-14T21:25:18.4068196Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-08-14T21:25:18.4068299Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-08-14T21:25:18.4068545Z * [new tag] v2.2.2 -> v2.2.2 2025-08-14T21:25:18.4069753Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-08-14T21:25:18.4070219Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-08-14T21:25:18.4070378Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-08-14T21:25:18.4070893Z * [new tag] v2.3.0 -> v2.3.0 2025-08-14T21:25:18.4072052Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-08-14T21:25:18.4072210Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-08-14T21:25:18.4073090Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-08-14T21:25:18.4073197Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-08-14T21:25:18.4074379Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-08-14T21:25:18.4075664Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-08-14T21:25:18.4075912Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-08-14T21:25:18.4076121Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-08-14T21:25:18.4076290Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-08-14T21:25:18.4080995Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-08-14T21:25:18.4081183Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-08-14T21:25:18.4081411Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-08-14T21:25:18.4081523Z * [new tag] v2.3.1 -> v2.3.1 2025-08-14T21:25:18.4081632Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-08-14T21:25:18.4081738Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-08-14T21:25:18.4081836Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-08-14T21:25:18.4081934Z * [new tag] v2.4.0 -> v2.4.0 2025-08-14T21:25:18.4082046Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-08-14T21:25:18.4085543Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-08-14T21:25:18.4089031Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-08-14T21:25:18.4089157Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-08-14T21:25:18.4089262Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-08-14T21:25:18.4089375Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-08-14T21:25:18.4089481Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-08-14T21:25:18.4089591Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-08-14T21:25:18.4089689Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-08-14T21:25:18.4089788Z * [new tag] v2.4.1 -> v2.4.1 2025-08-14T21:25:18.4089904Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-08-14T21:25:18.4090054Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-08-14T21:25:18.4090157Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-08-14T21:25:18.4090252Z * [new tag] v2.5.0 -> v2.5.0 2025-08-14T21:25:18.4092908Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-08-14T21:25:18.4093057Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-08-14T21:25:18.4093695Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-08-14T21:25:18.4093861Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-08-14T21:25:18.4094085Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-08-14T21:25:18.4094195Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-08-14T21:25:18.4094294Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-08-14T21:25:18.4094401Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-08-14T21:25:18.4099834Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-08-14T21:25:18.4104200Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-08-14T21:25:18.4106184Z * [new tag] v2.5.1 -> v2.5.1 2025-08-14T21:25:18.4106306Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-08-14T21:25:18.4106572Z * [new tag] v2.6.0 -> v2.6.0 2025-08-14T21:25:18.4106702Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-08-14T21:25:18.4106810Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-08-14T21:25:18.4106909Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-08-14T21:25:18.4107007Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-08-14T21:25:18.4107320Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-08-14T21:25:18.4107434Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-08-14T21:25:18.4107545Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-08-14T21:25:18.4107644Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-08-14T21:25:18.4107741Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-08-14T21:25:18.4107851Z * [new tag] v2.7.0 -> v2.7.0 2025-08-14T21:25:18.4107948Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-08-14T21:25:18.4108057Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-08-14T21:25:18.4108163Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-08-14T21:25:18.4108266Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-08-14T21:25:18.4108375Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-08-14T21:25:18.4108716Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-08-14T21:25:18.4110168Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-08-14T21:25:18.4110296Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-08-14T21:25:18.4111517Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-08-14T21:25:18.4111626Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-08-14T21:25:18.4112122Z * [new tag] v2.7.1 -> v2.7.1 2025-08-14T21:25:18.4112488Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-08-14T21:25:18.4113437Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-08-14T21:25:18.4113760Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-08-14T21:25:18.4114919Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-08-14T21:25:18.4115181Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-08-14T21:25:18.4115775Z * [new tag] v2.8.0 -> v2.8.0 2025-08-14T21:25:18.4116655Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-08-14T21:25:18.4116965Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-08-14T21:25:18.4118025Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-08-14T21:25:18.4118201Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-08-14T21:25:18.4119296Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-08-14T21:25:18.4119531Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-08-14T21:25:18.4120606Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-08-14T21:25:18.4120722Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-08-14T21:25:18.4121882Z * [new tag] whc_flight_1 -> whc_flight_1 2025-08-14T21:25:18.4122443Z * [new tag] whc_flight_2 -> whc_flight_2 2025-08-14T21:25:18.4122610Z * [new tag] whc_flight_4 -> whc_flight_4 2025-08-14T21:25:18.4612726Z [command]/usr/bin/git rev-parse --verify --quiet 1fc683cf17c8c673044538d10266c00f92987be2^{object} 2025-08-14T21:25:18.4637909Z 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:25:18.4641090Z ##[endgroup] 2025-08-14T21:25:18.4641333Z ##[group]Determining the checkout info 2025-08-14T21:25:18.4641716Z ##[endgroup] 2025-08-14T21:25:18.4646912Z [command]/usr/bin/git sparse-checkout disable 2025-08-14T21:25:18.4685313Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-08-14T21:25:18.4739777Z ##[group]Checking out the ref 2025-08-14T21:25:18.4746639Z [command]/usr/bin/git checkout --progress --force 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:25:19.5066944Z Updating files: 96% (18719/19474) 2025-08-14T21:25:19.5210484Z Updating files: 97% (18890/19474) 2025-08-14T21:25:19.5456059Z Updating files: 98% (19085/19474) 2025-08-14T21:25:19.5581276Z Updating files: 99% (19280/19474) 2025-08-14T21:25:19.5582167Z Updating files: 100% (19474/19474) 2025-08-14T21:25:19.5582511Z Updating files: 100% (19474/19474), done. 2025-08-14T21:25:19.5813255Z Note: switching to '1fc683cf17c8c673044538d10266c00f92987be2'. 2025-08-14T21:25:19.5813536Z 2025-08-14T21:25:19.5813703Z You are in 'detached HEAD' state. You can look around, make experimental 2025-08-14T21:25:19.5814076Z changes and commit them, and you can discard any commits you make in this 2025-08-14T21:25:19.5814474Z state without impacting any branches by switching back to a branch. 2025-08-14T21:25:19.5814680Z 2025-08-14T21:25:19.5814822Z If you want to create a new branch to retain commits you create, you may 2025-08-14T21:25:19.5815203Z do so (now or later) by using -c with the switch command. Example: 2025-08-14T21:25:19.5815426Z 2025-08-14T21:25:19.5815539Z git switch -c 2025-08-14T21:25:19.5815676Z 2025-08-14T21:25:19.5815766Z Or undo this operation with: 2025-08-14T21:25:19.5815894Z 2025-08-14T21:25:19.5815964Z git switch - 2025-08-14T21:25:19.5816070Z 2025-08-14T21:25:19.5816231Z Turn off this advice by setting config variable advice.detachedHead to false 2025-08-14T21:25:19.5816450Z 2025-08-14T21:25:19.5816719Z HEAD is now at 1fc683cf17c [Inductor] Allow indexing a flexible layout for extract_input_node_reduction_ranges (#160645) 2025-08-14T21:25:19.5866685Z ##[endgroup] 2025-08-14T21:25:19.5867217Z ##[group]Setting up auth for fetching submodules 2025-08-14T21:25:19.5874067Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-08-14T21:25:19.5935623Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-08-14T21:25:19.5962254Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-08-14T21:25:19.5986515Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-08-14T21:25:19.6010275Z ##[endgroup] 2025-08-14T21:25:19.6010589Z ##[group]Fetching submodules 2025-08-14T21:25:19.6014442Z [command]/usr/bin/git submodule sync --recursive 2025-08-14T21:25:19.6347674Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-08-14T21:25:19.6697166Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-08-14T21:25:19.6697937Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-08-14T21:25:19.6698673Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-08-14T21:25:19.6700830Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-08-14T21:25:19.6706378Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-08-14T21:25:19.6707217Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-08-14T21:25:19.6708007Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-08-14T21:25:19.6708569Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-08-14T21:25:19.6710512Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-08-14T21:25:19.6712982Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-08-14T21:25:19.6721423Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-08-14T21:25:19.6726125Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-08-14T21:25:19.6731234Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-08-14T21:25:19.6731921Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-08-14T21:25:19.6732486Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-08-14T21:25:19.6733137Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-08-14T21:25:19.6733830Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-08-14T21:25:19.6734441Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-08-14T21:25:19.6737503Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:25:19.6739949Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-08-14T21:25:19.6745475Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-08-14T21:25:19.6746123Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-08-14T21:25:19.6747866Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-08-14T21:25:19.6751314Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-08-14T21:25:19.6756819Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-08-14T21:25:19.6757746Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-08-14T21:25:19.6762503Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-08-14T21:25:19.6763103Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-08-14T21:25:19.6765710Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-08-14T21:25:19.6768633Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-08-14T21:25:19.6771785Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-08-14T21:25:19.6775909Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-08-14T21:25:19.6778484Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-08-14T21:25:19.6782579Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-08-14T21:25:19.6786064Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-08-14T21:25:19.6789872Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-08-14T21:25:19.6795416Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-08-14T21:25:19.6825805Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-08-14T21:25:19.9155910Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-08-14T21:25:19.9156444Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-08-14T21:25:19.9156881Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-08-14T21:25:19.9185871Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-08-14T21:25:20.1234786Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-08-14T21:25:20.1235975Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-08-14T21:25:20.1237001Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-08-14T21:25:20.1237962Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-08-14T21:25:20.1441492Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-08-14T21:25:21.3421922Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-08-14T21:25:21.3423251Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-08-14T21:25:21.3424245Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-08-14T21:25:21.3425592Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-08-14T21:25:21.3426481Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-08-14T21:25:21.3427309Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-08-14T21:25:21.3428119Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-08-14T21:25:21.3428981Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-08-14T21:25:21.3429842Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-08-14T21:25:21.3430840Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-08-14T21:25:21.3431620Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-08-14T21:25:21.3432427Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-08-14T21:25:21.3433356Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-08-14T21:25:21.3646518Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-08-14T21:25:21.4935806Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-08-14T21:25:21.4936673Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-08-14T21:25:21.5265985Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-08-14T21:25:33.6730579Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-08-14T21:25:33.6731186Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-08-14T21:25:33.6731655Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-08-14T21:25:33.6732098Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-08-14T21:25:33.6732544Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-08-14T21:25:33.6733043Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-08-14T21:25:33.6733530Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-08-14T21:25:33.6733987Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-08-14T21:25:33.6734765Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-08-14T21:25:33.6735227Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-08-14T21:25:33.6873986Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-08-14T21:25:33.7000174Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-08-14T21:25:33.7084136Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-08-14T21:25:33.7301576Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-08-14T21:25:33.8021071Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-08-14T21:25:33.8507624Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-08-14T21:25:34.4289405Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-08-14T21:25:34.5615547Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-08-14T21:25:34.5636364Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:25:34.5664089Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-08-14T21:25:37.9662486Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-08-14T21:25:37.9874681Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-08-14T21:25:38.2469521Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-08-14T21:25:38.2942771Z Submodule path 'third_party/cpp-httplib': checked out '3af7f2c16147f3fbc6e4d717032daf505dc1652c' 2025-08-14T21:25:38.3869087Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-08-14T21:25:38.4285740Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-08-14T21:25:38.9900350Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-08-14T21:25:39.1098263Z Submodule path 'third_party/fbgemm': checked out '21c7d30c526c0f1ad873ecc632dca6cfa8a69067' 2025-08-14T21:25:39.1117534Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-08-14T21:25:39.1118411Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:25:39.1121148Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:25:39.1121804Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-08-14T21:25:39.1122600Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-08-14T21:25:39.1127454Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:25:39.1130281Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-08-14T21:25:39.1154020Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-08-14T21:25:40.3775961Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-08-14T21:25:40.3776848Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-08-14T21:25:40.3777411Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-08-14T21:25:40.3777980Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-08-14T21:25:40.4779702Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-08-14T21:25:41.4443888Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-08-14T21:25:45.7275589Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-08-14T21:25:45.9406907Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-08-14T21:25:46.0345248Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-08-14T21:25:46.5839941Z Submodule path 'third_party/fbgemm/external/cutlass': checked out 'b40777404c174b9694a870bff5c13ce6b7f656ad' 2025-08-14T21:25:46.6269280Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-14T21:25:46.6386353Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out 'a4337c69fe0e2552a7b7b0669178926beeed828c' 2025-08-14T21:25:46.7327923Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-08-14T21:25:46.7948209Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-08-14T21:25:46.7970022Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:25:46.7970804Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:25:46.7995125Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-08-14T21:25:50.0728144Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-08-14T21:25:50.2701424Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-08-14T21:25:50.7739359Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-08-14T21:25:50.8905102Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-08-14T21:25:50.9222592Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-08-14T21:25:50.9581197Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-08-14T21:25:50.9811481Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-08-14T21:25:51.0236609Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-14T21:25:51.0375596Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-08-14T21:25:51.0392230Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-08-14T21:25:51.0421688Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-08-14T21:26:02.6070241Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-08-14T21:26:02.6261508Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-08-14T21:26:02.7163137Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-08-14T21:26:02.7183473Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:26:02.7184624Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:26:02.7185782Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:26:02.7217584Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-08-14T21:26:03.3858584Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-08-14T21:26:04.0556617Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-08-14T21:26:04.1313281Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-08-14T21:26:04.1329788Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:26:04.1330539Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:26:04.1333692Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:26:04.1334485Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:26:04.1335273Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:26:04.1336097Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:26:04.1337558Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:26:04.1339745Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:26:04.1371839Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-08-14T21:26:05.3351274Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-08-14T21:26:05.3352086Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-08-14T21:26:05.3353068Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-08-14T21:26:05.3353792Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-08-14T21:26:05.3354504Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-08-14T21:26:05.4353712Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-08-14T21:26:05.6094806Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-08-14T21:26:12.5370302Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-08-14T21:26:12.5530639Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-08-14T21:26:12.5866084Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-08-14T21:26:12.5992733Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-08-14T21:26:12.6006984Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:26:12.6031079Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-08-14T21:26:12.8764081Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-08-14T21:26:12.8933396Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-08-14T21:26:12.9311312Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-08-14T21:26:13.0215628Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-08-14T21:26:13.0380885Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-08-14T21:26:13.0708719Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-08-14T21:26:13.1267564Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-08-14T21:26:13.1665927Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-08-14T21:26:13.2032051Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-08-14T21:26:13.3067364Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-08-14T21:26:13.6128518Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-08-14T21:26:13.6158679Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-08-14T21:26:13.6188974Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-08-14T21:26:14.6342884Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-08-14T21:26:14.6916365Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-08-14T21:26:14.6935627Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:26:14.6937238Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:26:14.6938640Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:26:14.6940704Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:26:14.6947583Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:26:14.6948608Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:26:14.6949874Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:26:14.6950642Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:26:14.6975717Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-08-14T21:26:15.1064273Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-08-14T21:26:15.1065249Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-08-14T21:26:15.1066070Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-08-14T21:26:15.1066873Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-08-14T21:26:15.2067925Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-08-14T21:26:15.7982456Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-08-14T21:26:21.2911673Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-08-14T21:26:22.0305237Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-08-14T21:26:22.0695357Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-08-14T21:26:22.0862294Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-08-14T21:26:22.1827128Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-08-14T21:26:22.1960344Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-08-14T21:26:22.2097449Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-08-14T21:26:22.2244781Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-08-14T21:26:22.2260003Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:26:22.2260884Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:26:22.2291798Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-08-14T21:26:24.3539124Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'... 2025-08-14T21:26:24.5833670Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-08-14T21:26:24.6273892Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-08-14T21:26:24.9789508Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-08-14T21:26:24.9908484Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-08-14T21:26:25.2295069Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a' 2025-08-14T21:26:25.2313439Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:26:25.2314279Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest' 2025-08-14T21:26:25.2344109Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'... 2025-08-14T21:26:25.7720053Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'... 2025-08-14T21:26:26.1718145Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8' 2025-08-14T21:26:26.2390940Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081' 2025-08-14T21:26:26.2489685Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900' 2025-08-14T21:26:26.2609039Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8' 2025-08-14T21:26:26.2949117Z Submodule path 'third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-08-14T21:26:26.3202560Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67' 2025-08-14T21:26:26.3610207Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68' 2025-08-14T21:26:26.3849475Z Submodule path 'third_party/tensorpipe': checked out 'dacda0567d9f23d4bc503e1c4f84aa65f33ac38a' 2025-08-14T21:26:26.3865640Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:26:26.3866380Z Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:26:26.3867088Z Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:26:26.3868361Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:26:26.3898544Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/googletest'... 2025-08-14T21:26:27.3590846Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libnop'... 2025-08-14T21:26:27.3664563Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libuv'... 2025-08-14T21:26:27.5878257Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11'... 2025-08-14T21:26:27.6411493Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' 2025-08-14T21:26:27.6558868Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281' 2025-08-14T21:26:27.7224027Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b' 2025-08-14T21:26:27.7490988Z Submodule 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'third_party/XNNPACK' 2025-08-14T21:26:29.5351558Z Entering 'third_party/aiter' 2025-08-14T21:26:29.5394088Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:26:29.5447005Z Entering 'third_party/benchmark' 2025-08-14T21:26:29.5486095Z Entering 'third_party/composable_kernel' 2025-08-14T21:26:29.5534109Z Entering 'third_party/cpp-httplib' 2025-08-14T21:26:29.5573516Z Entering 'third_party/cpuinfo' 2025-08-14T21:26:29.5613688Z Entering 'third_party/cudnn_frontend' 2025-08-14T21:26:29.5656177Z Entering 'third_party/cutlass' 2025-08-14T21:26:29.5706435Z Entering 'third_party/fbgemm' 2025-08-14T21:26:29.5749002Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T21:26:29.5787981Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:26:29.5833974Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:26:29.5872510Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T21:26:29.5919416Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T21:26:29.5963044Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:26:29.6005313Z Entering 'third_party/fbgemm/external/json' 2025-08-14T21:26:29.6055009Z Entering 'third_party/flash-attention' 2025-08-14T21:26:29.6093141Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:26:29.6140333Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:26:29.6186552Z Entering 'third_party/flatbuffers' 2025-08-14T21:26:29.6229463Z Entering 'third_party/fmt' 2025-08-14T21:26:29.6270234Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:26:29.6314719Z Entering 'third_party/gloo' 2025-08-14T21:26:29.6355054Z Entering 'third_party/googletest' 2025-08-14T21:26:29.6395888Z Entering 'third_party/ideep' 2025-08-14T21:26:29.6437146Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T21:26:29.6482921Z Entering 'third_party/ittapi' 2025-08-14T21:26:29.6529067Z Entering 'third_party/kineto' 2025-08-14T21:26:29.6564495Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:26:29.6605601Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:26:29.6648951Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:26:29.6688798Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:26:29.6729161Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:26:29.6770905Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:26:29.6812970Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:26:29.6855034Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:26:29.6896146Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:26:29.6935681Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:26:29.6978111Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:26:29.7022421Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:26:29.7064018Z Entering 'third_party/kleidiai' 2025-08-14T21:26:29.7107318Z Entering 'third_party/mimalloc' 2025-08-14T21:26:29.7146638Z Entering 'third_party/nlohmann' 2025-08-14T21:26:29.7187396Z Entering 'third_party/onnx' 2025-08-14T21:26:29.7242189Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T21:26:29.7282024Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T21:26:29.7331474Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:26:29.7368831Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:26:29.7409946Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:26:29.7450819Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:26:29.7488873Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:26:29.7531689Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:26:29.7569048Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:26:29.7611346Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:26:29.7656185Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:26:29.7696612Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:26:29.7753014Z Entering 'third_party/pocketfft' 2025-08-14T21:26:29.7793338Z Entering 'third_party/protobuf' 2025-08-14T21:26:29.7839843Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:26:29.7878083Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T21:26:29.7922767Z Entering 'third_party/psimd' 2025-08-14T21:26:29.7966826Z Entering 'third_party/pthreadpool' 2025-08-14T21:26:29.8004352Z Entering 'third_party/pybind11' 2025-08-14T21:26:29.8047916Z Entering 'third_party/python-peachpy' 2025-08-14T21:26:29.8087605Z Entering 'third_party/sleef' 2025-08-14T21:26:29.8130490Z Entering 'third_party/tensorpipe' 2025-08-14T21:26:29.8165791Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:26:29.8214053Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:26:29.8248568Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:26:29.8287293Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:26:29.8329315Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:26:29.8384287Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-08-14T21:26:29.8690089Z Entering 'android/libs/fbjni' 2025-08-14T21:26:29.8730654Z Entering 'third_party/FP16' 2025-08-14T21:26:29.8774264Z Entering 'third_party/FXdiv' 2025-08-14T21:26:29.8814566Z Entering 'third_party/NNPACK' 2025-08-14T21:26:29.8855926Z Entering 'third_party/NVTX' 2025-08-14T21:26:29.8897293Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T21:26:29.8942078Z Entering 'third_party/XNNPACK' 2025-08-14T21:26:29.8991146Z Entering 'third_party/aiter' 2025-08-14T21:26:29.9038886Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:26:29.9083565Z Entering 'third_party/benchmark' 2025-08-14T21:26:29.9125948Z Entering 'third_party/composable_kernel' 2025-08-14T21:26:29.9174588Z Entering 'third_party/cpp-httplib' 2025-08-14T21:26:29.9217871Z Entering 'third_party/cpuinfo' 2025-08-14T21:26:29.9259514Z Entering 'third_party/cudnn_frontend' 2025-08-14T21:26:29.9299639Z Entering 'third_party/cutlass' 2025-08-14T21:26:29.9348408Z Entering 'third_party/fbgemm' 2025-08-14T21:26:29.9391751Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T21:26:29.9434030Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:26:29.9479414Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:26:29.9522844Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T21:26:29.9568898Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T21:26:29.9611382Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:26:29.9651126Z Entering 'third_party/fbgemm/external/json' 2025-08-14T21:26:29.9698520Z Entering 'third_party/flash-attention' 2025-08-14T21:26:29.9739685Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:26:29.9784948Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:26:29.9838299Z Entering 'third_party/flatbuffers' 2025-08-14T21:26:29.9877881Z Entering 'third_party/fmt' 2025-08-14T21:26:29.9923127Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:26:29.9967208Z Entering 'third_party/gloo' 2025-08-14T21:26:30.0011373Z Entering 'third_party/googletest' 2025-08-14T21:26:30.0052010Z Entering 'third_party/ideep' 2025-08-14T21:26:30.0091141Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T21:26:30.0141930Z Entering 'third_party/ittapi' 2025-08-14T21:26:30.0182029Z Entering 'third_party/kineto' 2025-08-14T21:26:30.0223818Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:26:30.0268178Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:26:30.0305195Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:26:30.0346069Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:26:30.0388121Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:26:30.0432753Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:26:30.0471368Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:26:30.0513160Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:26:30.0554550Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:26:30.0594709Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:26:30.0636820Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:26:30.0676452Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:26:30.0724576Z Entering 'third_party/kleidiai' 2025-08-14T21:26:30.0762344Z Entering 'third_party/mimalloc' 2025-08-14T21:26:30.0806297Z Entering 'third_party/nlohmann' 2025-08-14T21:26:30.0846061Z Entering 'third_party/onnx' 2025-08-14T21:26:30.0901556Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T21:26:30.0950006Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T21:26:30.0989031Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:26:30.1029447Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:26:30.1066475Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:26:30.1128640Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:26:30.1148618Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:26:30.1191557Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:26:30.1229983Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:26:30.1269358Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:26:30.1311839Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:26:30.1357610Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:26:30.1414284Z Entering 'third_party/pocketfft' 2025-08-14T21:26:30.1457172Z Entering 'third_party/protobuf' 2025-08-14T21:26:30.1496936Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:26:30.1538275Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T21:26:30.1584247Z Entering 'third_party/psimd' 2025-08-14T21:26:30.1626872Z Entering 'third_party/pthreadpool' 2025-08-14T21:26:30.1667727Z Entering 'third_party/pybind11' 2025-08-14T21:26:30.1707765Z Entering 'third_party/python-peachpy' 2025-08-14T21:26:30.1747895Z Entering 'third_party/sleef' 2025-08-14T21:26:30.1787531Z Entering 'third_party/tensorpipe' 2025-08-14T21:26:30.1829258Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:26:30.1873817Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:26:30.1912094Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:26:30.1954246Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:26:30.2015958Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:26:30.2069329Z ##[endgroup] 2025-08-14T21:26:30.2105538Z [command]/usr/bin/git log -1 --format=%H 2025-08-14T21:26:30.2128320Z 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:26:30.2293772Z Prepare all required actions 2025-08-14T21:26:30.2294270Z Getting action download info 2025-08-14T21:26:30.3724906Z ##[group]Run ./.github/actions/setup-linux 2025-08-14T21:26:30.3725155Z env: 2025-08-14T21:26:30.3725331Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:30.3725522Z ##[endgroup] 2025-08-14T21:26:30.3759432Z ##[group]Run set -euo pipefail 2025-08-14T21:26:30.3759718Z set -euo pipefail 2025-08-14T21:26:30.3759937Z function get_ec2_metadata() { 2025-08-14T21:26:30.3760208Z  # Pulled from instance metadata endpoint for EC2 2025-08-14T21:26:30.3760644Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-08-14T21:26:30.3761040Z  category=$1 2025-08-14T21:26:30.3761293Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-08-14T21:26:30.3761591Z  runner_name_str=i-08f1d77d22745dc3c 2025-08-14T21:26:30.3761877Z  if [[ -f /.inarc ]]; then 2025-08-14T21:26:30.3762117Z  echo "ARC Runner, no info on ec2 metadata" 2025-08-14T21:26:30.3762388Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-08-14T21:26:30.3762699Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-08-14T21:26:30.3762974Z  else 2025-08-14T21:26:30.3763540Z  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}" 2025-08-14T21:26:30.3764098Z  fi 2025-08-14T21:26:30.3764265Z } 2025-08-14T21:26:30.3764461Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-08-14T21:26:30.3764756Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-08-14T21:26:30.3765076Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-08-14T21:26:30.3765358Z echo "system info $(uname -a)" 2025-08-14T21:26:30.3774497Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:26:30.3774765Z env: 2025-08-14T21:26:30.3774942Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:30.3775132Z ##[endgroup] 2025-08-14T21:26:30.3928927Z ami-id: ami-05ffe3c48a9991133 2025-08-14T21:26:30.4089529Z instance-id: i-08f1d77d22745dc3c 2025-08-14T21:26:30.4194382Z instance-type: m7i-flex.8xlarge 2025-08-14T21:26:30.4206764Z system info Linux ip-10-0-41-134.ec2.internal 6.1.141-155.222.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 17 10:29:47 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-08-14T21:26:30.4228729Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:26:30.4229484Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:26:30.4235509Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:26:30.4235780Z env: 2025-08-14T21:26:30.4235968Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:30.4236168Z ##[endgroup] 2025-08-14T21:26:30.4285839Z ##[group]Run if systemctl is-active --quiet docker; then 2025-08-14T21:26:30.4286172Z if systemctl is-active --quiet docker; then 2025-08-14T21:26:30.4286436Z  echo "Docker daemon is running..."; 2025-08-14T21:26:30.4286651Z else 2025-08-14T21:26:30.4286922Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-08-14T21:26:30.4287197Z fi 2025-08-14T21:26:30.4291077Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:26:30.4291347Z env: 2025-08-14T21:26:30.4291506Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:30.4291702Z ##[endgroup] 2025-08-14T21:26:30.4362976Z Docker daemon is running... 2025-08-14T21:26:30.4391471Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-14T21:26:30.4391693Z with: 2025-08-14T21:26:30.4391854Z shell: bash 2025-08-14T21:26:30.4392157Z timeout_minutes: 5 2025-08-14T21:26:30.4392342Z max_attempts: 3 2025-08-14T21:26:30.4392518Z retry_wait_seconds: 30 2025-08-14T21:26:30.4394220Z command: AWS_ACCOUNT_ID=$(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 2025-08-14T21:26:30.4395643Z polling_interval_seconds: 1 2025-08-14T21:26:30.4395859Z warning_on_retry: true 2025-08-14T21:26:30.4396060Z continue_on_error: false 2025-08-14T21:26:30.4396251Z env: 2025-08-14T21:26:30.4396424Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:30.4396800Z AWS_RETRY_MODE: standard 2025-08-14T21:26:30.4396996Z AWS_MAX_ATTEMPTS: 5 2025-08-14T21:26:30.4397212Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:26:30.4397412Z ##[endgroup] 2025-08-14T21:26:31.4931404Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:26:31.4931850Z Configure a credential helper to remove this warning. See 2025-08-14T21:26:31.4932253Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:26:31.4932500Z 2025-08-14T21:26:31.4932581Z Login Succeeded 2025-08-14T21:26:31.5959549Z Command completed after 1 attempt(s). 2025-08-14T21:26:31.6000738Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:26:31.6001125Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:26:31.6001427Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:26:31.6008235Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:26:31.6008491Z env: 2025-08-14T21:26:31.6008652Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:31.6008846Z ##[endgroup] 2025-08-14T21:26:31.6079765Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:26:31.6080193Z # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:26:31.6080484Z # shellcheck disable=SC2046 2025-08-14T21:26:31.6080721Z docker stop $(docker ps -q) || true 2025-08-14T21:26:31.6080952Z # Prune all of the docker images 2025-08-14T21:26:31.6081179Z docker system prune -af 2025-08-14T21:26:31.6085548Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:26:31.6085925Z env: 2025-08-14T21:26:31.6086102Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:31.6086297Z ##[endgroup] 2025-08-14T21:26:31.6576454Z "docker stop" requires at least 1 argument. 2025-08-14T21:26:31.6576791Z See 'docker stop --help'. 2025-08-14T21:26:31.6576967Z 2025-08-14T21:26:31.6577099Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-08-14T21:26:31.6577291Z 2025-08-14T21:26:31.6577388Z Stop one or more running containers 2025-08-14T21:26:31.6784589Z Total reclaimed space: 0B 2025-08-14T21:26:31.6813315Z ##[group]Run set +e 2025-08-14T21:26:31.6813542Z set +e 2025-08-14T21:26:31.6813717Z set -x 2025-08-14T21:26:31.6813880Z  2025-08-14T21:26:31.6814056Z PT_DOMAIN=download.pytorch.org 2025-08-14T21:26:31.6814439Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-08-14T21:26:31.6814903Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-08-14T21:26:31.6815251Z # one is returned at random 2025-08-14T21:26:31.6815512Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-08-14T21:26:31.6815763Z  2025-08-14T21:26:31.6816041Z if [ -z "${RESOLVED_IP}" ]; then 2025-08-14T21:26:31.6816329Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-08-14T21:26:31.6816666Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-08-14T21:26:31.6816927Z  2025-08-14T21:26:31.6817097Z  if [ -z "${RESOLVED_IP}" ]; then 2025-08-14T21:26:31.6817354Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-08-14T21:26:31.6817598Z  exit 1 2025-08-14T21:26:31.6817770Z  fi 2025-08-14T21:26:31.6817919Z fi 2025-08-14T21:26:31.6818077Z  2025-08-14T21:26:31.6818268Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-08-14T21:26:31.6818520Z  # Clean up any old records first 2025-08-14T21:26:31.6818772Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-08-14T21:26:31.6818987Z fi 2025-08-14T21:26:31.6819137Z  2025-08-14T21:26:31.6819349Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-08-14T21:26:31.6819608Z cat /etc/hosts 2025-08-14T21:26:31.6824377Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:26:31.6824620Z env: 2025-08-14T21:26:31.6824783Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:31.6824970Z ##[endgroup] 2025-08-14T21:26:31.6846579Z + PT_DOMAIN=download.pytorch.org 2025-08-14T21:26:31.6851774Z ++ dig -4 +short download.pytorch.org 2025-08-14T21:26:31.6858592Z ++ tail -n1 2025-08-14T21:26:31.7290838Z + RESOLVED_IP=18.160.10.36 2025-08-14T21:26:31.7291149Z + '[' -z 18.160.10.36 ']' 2025-08-14T21:26:31.7291373Z + grep -r download.pytorch.org /etc/hosts 2025-08-14T21:26:31.7307850Z + echo '18.160.10.36 download.pytorch.org' 2025-08-14T21:26:31.7308595Z + sudo tee -a /etc/hosts 2025-08-14T21:26:32.0205161Z 18.160.10.36 download.pytorch.org 2025-08-14T21:26:32.0225696Z + cat /etc/hosts 2025-08-14T21:26:32.0236717Z 127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4 2025-08-14T21:26:32.0242323Z ::1 localhost6 localhost6.localdomain6 2025-08-14T21:26:32.0242606Z 18.160.10.36 download.pytorch.org 2025-08-14T21:26:32.0354006Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-08-14T21:26:32.0354349Z with: 2025-08-14T21:26:32.0354946Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:26:32.0355587Z use-custom-docker-registry: true 2025-08-14T21:26:32.0355826Z docker-build-dir: .ci/docker 2025-08-14T21:26:32.0356052Z docker-build-script: ./build.sh 2025-08-14T21:26:32.0356268Z working-directory: . 2025-08-14T21:26:32.0356650Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:26:32.0356964Z force-push: false 2025-08-14T21:26:32.0357139Z env: 2025-08-14T21:26:32.0357314Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:32.0357514Z ##[endgroup] 2025-08-14T21:26:32.0371929Z ##[group]Run set -ex 2025-08-14T21:26:32.0372170Z set -ex 2025-08-14T21:26:32.0372348Z  2025-08-14T21:26:32.0372672Z # If the docker build directory or the build script doesn't exist, the action will 2025-08-14T21:26:32.0373117Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-08-14T21:26:32.0373493Z # job could then download the pre-built image as usual 2025-08-14T21:26:32.0373951Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-08-14T21:26:32.0374382Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-08-14T21:26:32.0374620Z else 2025-08-14T21:26:32.0374820Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:26:32.0375136Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:26:32.0375420Z  2025-08-14T21:26:32.0375793Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-08-14T21:26:32.0376203Z  exit 0 2025-08-14T21:26:32.0376372Z fi 2025-08-14T21:26:32.0376530Z  2025-08-14T21:26:32.0376776Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-08-14T21:26:32.0377179Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-08-14T21:26:32.0377537Z  # use it as it is, but first let's extract the tag 2025-08-14T21:26:32.0377864Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-08-14T21:26:32.0378217Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:26:32.0378550Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:26:32.0378823Z else 2025-08-14T21:26:32.0379018Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-08-14T21:26:32.0379295Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-08-14T21:26:32.0379576Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-08-14T21:26:32.0379804Z  fi 2025-08-14T21:26:32.0380119Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-08-14T21:26:32.0380519Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:26:32.0380937Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:26:32.0381385Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:26:32.0381680Z fi 2025-08-14T21:26:32.0388011Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:26:32.0388280Z env: 2025-08-14T21:26:32.0388466Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:32.0388675Z REPO_NAME: pytorch 2025-08-14T21:26:32.0389375Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:26:32.0390006Z DOCKER_BUILD_DIR: .ci/docker 2025-08-14T21:26:32.0390224Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-08-14T21:26:32.0390503Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:26:32.0390772Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-08-14T21:26:32.0390989Z CUSTOM_TAG_PREFIX: 2025-08-14T21:26:32.0391175Z ##[endgroup] 2025-08-14T21:26:32.0418052Z + [[ -d .ci/docker ]] 2025-08-14T21:26:32.0420165Z + [[ -f .ci/docker/./build.sh ]] 2025-08-14T21:26:32.0423817Z + [[ true == \t\r\u\e ]] 2025-08-14T21:26:32.0426112Z + echo skip=false 2025-08-14T21:26:32.0426925Z + [[ 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* ]] 2025-08-14T21:26:32.0428070Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:26:32.0428664Z ++ awk -F '[:,]' '{print $2}' 2025-08-14T21:26:32.0459617Z + DOCKER_TAG=pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:26:32.0460323Z + echo docker-tag=pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:26:32.0461293Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:26:32.0479427Z ##[group]Run set +e 2025-08-14T21:26:32.0479668Z set +e 2025-08-14T21:26:32.0479846Z set -x 2025-08-14T21:26:32.0480016Z  2025-08-14T21:26:32.0480171Z login() { 2025-08-14T21:26:32.0480511Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-08-14T21:26:32.0480873Z } 2025-08-14T21:26:32.0481025Z  2025-08-14T21:26:32.0481182Z retry () { 2025-08-14T21:26:32.0481384Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-08-14T21:26:32.0481597Z } 2025-08-14T21:26:32.0481751Z  2025-08-14T21:26:32.0481919Z retry login "${DOCKER_REGISTRY}" 2025-08-14T21:26:32.0482130Z  2025-08-14T21:26:32.0482359Z START_TIME=$(date +%s) 2025-08-14T21:26:32.0482579Z # Wait up to 120 minutes 2025-08-14T21:26:32.0482842Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-08-14T21:26:32.0483171Z  # Check if image already exists, if it does then skip building it 2025-08-14T21:26:32.0483502Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-08-14T21:26:32.0483750Z  exit 0 2025-08-14T21:26:32.0483914Z  fi 2025-08-14T21:26:32.0484072Z  2025-08-14T21:26:32.0484344Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-08-14T21:26:32.0484770Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-08-14T21:26:32.0485184Z  # latter, it will wait for the Docker images to become available before continuing 2025-08-14T21:26:32.0485530Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-08-14T21:26:32.0485812Z  # It's a Docker build job, let's build the image 2025-08-14T21:26:32.0486051Z  break 2025-08-14T21:26:32.0486222Z  else 2025-08-14T21:26:32.0486460Z  # It's a regular build job, wait for the image to become available 2025-08-14T21:26:32.0486740Z  sleep 300 2025-08-14T21:26:32.0486916Z  fi 2025-08-14T21:26:32.0487081Z done 2025-08-14T21:26:32.0487240Z  2025-08-14T21:26:32.0487480Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-08-14T21:26:32.0487951Z # be empty. The default action would be to continue rebuild the image 2025-08-14T21:26:32.0488299Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-08-14T21:26:32.0488622Z  # if we're on the base branch then use the parent commit 2025-08-14T21:26:32.0488907Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-08-14T21:26:32.0489126Z else 2025-08-14T21:26:32.0489349Z  # otherwise we're on a PR, so use the most recent base commit 2025-08-14T21:26:32.0489669Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-08-14T21:26:32.0489980Z fi 2025-08-14T21:26:32.0490141Z  2025-08-14T21:26:32.0490311Z if [[ -z "${MERGE_BASE}" ]]; then 2025-08-14T21:26:32.0490558Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:26:32.0490774Z  2025-08-14T21:26:32.0491081Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-08-14T21:26:32.0491435Z  exit 0 2025-08-14T21:26:32.0491602Z fi 2025-08-14T21:26:32.0491751Z  2025-08-14T21:26:32.0491976Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-08-14T21:26:32.0492415Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-08-14T21:26:32.0492782Z  exit 1 2025-08-14T21:26:32.0492946Z fi 2025-08-14T21:26:32.0493100Z  2025-08-14T21:26:32.0493351Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-08-14T21:26:32.0493780Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-08-14T21:26:32.0494159Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-08-14T21:26:32.0494598Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-08-14T21:26:32.0495094Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-08-14T21:26:32.0495378Z fi 2025-08-14T21:26:32.0495527Z  2025-08-14T21:26:32.0495709Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:26:32.0501606Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:26:32.0501876Z env: 2025-08-14T21:26:32.0502044Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:32.0502247Z DOCKER_BUILD_DIR: .ci/docker 2025-08-14T21:26:32.0502508Z BASE_REVISION: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:26:32.0503145Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:26:32.0503933Z DOCKER_TAG: pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:26:32.0504411Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:26:32.0504673Z DOCKER_PUSH: 2025-08-14T21:26:32.0504842Z ##[endgroup] 2025-08-14T21:26:32.0527412Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:26:32.0527782Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:26:32.0531312Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:26:32.0531719Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:26:32.4909318Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:26:32.4909870Z Configure a credential helper to remove this warning. See 2025-08-14T21:26:32.4910276Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:26:32.4910529Z 2025-08-14T21:26:32.4910658Z Login Succeeded 2025-08-14T21:26:32.4930512Z ++ date +%s 2025-08-14T21:26:32.4937918Z + START_TIME=1755206792 2025-08-14T21:26:32.4941872Z ++ date +%s 2025-08-14T21:26:32.4951305Z + [[ 1755199592 -lt 1755206792 ]] 2025-08-14T21:26:32.4952051Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:26:32.7424810Z { 2025-08-14T21:26:32.7425063Z "schemaVersion": 2, 2025-08-14T21:26:32.7425411Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-08-14T21:26:32.7425852Z "config": { 2025-08-14T21:26:32.7426100Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-08-14T21:26:32.7426802Z "size": 30151, 2025-08-14T21:26:32.7427112Z "digest": 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"sha256:9fb73296da6ac15f37f36663bd10afc98abb8a01fb40bff4848de7247d28e018" 2025-08-14T21:26:32.7520529Z }, 2025-08-14T21:26:32.7520671Z { 2025-08-14T21:26:32.7520894Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:26:32.7521170Z "size": 32, 2025-08-14T21:26:32.7521452Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-08-14T21:26:32.7521767Z } 2025-08-14T21:26:32.7521902Z ] 2025-08-14T21:26:32.7522050Z } 2025-08-14T21:26:32.7542388Z ##[group]Run set -eux 2025-08-14T21:26:32.7542618Z set -eux 2025-08-14T21:26:32.7543192Z 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 2025-08-14T21:26:32.7549148Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:26:32.7549420Z env: 2025-08-14T21:26:32.7549592Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:32.7549784Z ##[endgroup] 2025-08-14T21:26:32.7576539Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-08-14T21:26:32.7576899Z + jq --raw-output .SecretString 2025-08-14T21:26:32.7577136Z + jq -r .docker_hub_readonly_token 2025-08-14T21:26:32.7577434Z + docker login --username pytorchbot --password-stdin 2025-08-14T21:26:33.2463305Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:26:33.2463771Z Configure a credential helper to remove this warning. See 2025-08-14T21:26:33.2464188Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:26:33.2464448Z 2025-08-14T21:26:33.2473826Z Login Succeeded 2025-08-14T21:26:33.2543713Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-08-14T21:26:33.2543990Z tag=${ECR_DOCKER_IMAGE##*:} 2025-08-14T21:26:33.2544270Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-08-14T21:26:33.2549141Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:26:33.2549398Z env: 2025-08-14T21:26:33.2549561Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:33.2550141Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:26:33.2550714Z ##[endgroup] 2025-08-14T21:26:33.2575447Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:26:33.2608634Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-08-14T21:26:33.2608943Z with: 2025-08-14T21:26:33.2609505Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:26:33.2610159Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:26:33.2610450Z env: 2025-08-14T21:26:33.2610626Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:33.2610823Z ##[endgroup] 2025-08-14T21:26:33.2620838Z ##[group]Run set -x 2025-08-14T21:26:33.2621050Z set -x 2025-08-14T21:26:33.2621226Z set +e 2025-08-14T21:26:33.2621397Z  2025-08-14T21:26:33.2621554Z login() { 2025-08-14T21:26:33.2621901Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-08-14T21:26:33.2622254Z } 2025-08-14T21:26:33.2622410Z  2025-08-14T21:26:33.2622610Z retry () { 2025-08-14T21:26:33.2622808Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-08-14T21:26:33.2623032Z } 2025-08-14T21:26:33.2623191Z  2025-08-14T21:26:33.2623367Z retry login "${DOCKER_REGISTRY}" 2025-08-14T21:26:33.2623578Z  2025-08-14T21:26:33.2623912Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-08-14T21:26:33.2624461Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-08-14T21:26:33.2624718Z  2025-08-14T21:26:33.2624877Z set -e 2025-08-14T21:26:33.2625130Z # ignore output since only exit code is used for conditional 2025-08-14T21:26:33.2625470Z # only pull docker image if it's not available locally 2025-08-14T21:26:33.2625836Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-08-14T21:26:33.2626187Z  retry docker pull "${DOCKER_IMAGE}" 2025-08-14T21:26:33.2626416Z fi 2025-08-14T21:26:33.2630878Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:26:33.2631144Z env: 2025-08-14T21:26:33.2631318Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:26:33.2631897Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:26:33.2632557Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:26:33.2632955Z ##[endgroup] 2025-08-14T21:26:33.2655599Z + set +e 2025-08-14T21:26:33.2656047Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:26:33.2656498Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:26:33.2659486Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:26:33.2659908Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:26:33.7181214Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:26:33.7181694Z Configure a credential helper to remove this warning. See 2025-08-14T21:26:33.7182128Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:26:33.7182392Z 2025-08-14T21:26:33.7182655Z Login Succeeded 2025-08-14T21:26:33.7211053Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:26:33.7211803Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-08-14T21:26:33.9312794Z + IMAGE_SIZE=27663.483686447144 2025-08-14T21:26:33.9313368Z Compressed size of image in MB: 27663.483686447144 2025-08-14T21:26:33.9313693Z + echo 'Compressed size of image in MB: 27663.483686447144' 2025-08-14T21:26:33.9313973Z + set -e 2025-08-14T21:26:33.9315011Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:26:33.9467348Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:26:33.9468390Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:26:34.2165117Z pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe: Pulling from pytorch/ci-image 2025-08-14T21:26:34.2170456Z 660ffc76f83b: Pulling fs layer 2025-08-14T21:26:34.2172282Z c7b4a852a455: Pulling fs layer 2025-08-14T21:26:34.2172505Z e5a28988c893: Pulling fs layer 2025-08-14T21:26:34.2173121Z 76a69b57b683: Pulling fs layer 2025-08-14T21:26:34.2173403Z 5c785dcb4cdb: Pulling fs layer 2025-08-14T21:26:34.2173616Z 836ab08052e8: Pulling fs layer 2025-08-14T21:26:34.2173858Z 53b11c77468c: Pulling fs layer 2025-08-14T21:26:34.2174052Z e97311a6a967: Pulling fs layer 2025-08-14T21:26:34.2174252Z 2c414689d31d: Pulling fs layer 2025-08-14T21:26:34.2174455Z 6d89b5f065d5: Pulling fs layer 2025-08-14T21:26:34.2174646Z 5a5cc76ada43: Pulling fs layer 2025-08-14T21:26:34.2174848Z fc6b37d40530: Pulling fs layer 2025-08-14T21:26:34.2175043Z 2e1657907860: Pulling fs layer 2025-08-14T21:26:34.2175478Z 7b92d7a4b8c7: Pulling fs layer 2025-08-14T21:26:34.2175682Z 4f4fb700ef54: Pulling fs layer 2025-08-14T21:26:34.2175882Z d6226eb61f82: Pulling fs layer 2025-08-14T21:26:34.2176069Z 83c70f4266a6: Pulling fs layer 2025-08-14T21:26:34.2176268Z 60c725d21861: Pulling fs layer 2025-08-14T21:26:34.2176465Z a504e76e66a4: Pulling fs layer 2025-08-14T21:26:34.2176661Z fc1c200a4f77: Pulling fs layer 2025-08-14T21:26:34.2176852Z 43273c22704f: Pulling fs layer 2025-08-14T21:26:34.2177046Z 89df389d042a: Pulling fs layer 2025-08-14T21:26:34.2177285Z 684349f50d94: Pulling fs layer 2025-08-14T21:26:34.2177482Z 21d0eae87fb3: Pulling fs layer 2025-08-14T21:26:34.2177669Z c9c2b424b8e0: Pulling fs layer 2025-08-14T21:26:34.2177862Z 98dda28f3395: Pulling fs layer 2025-08-14T21:26:34.2178059Z acf5babd87f2: Pulling fs layer 2025-08-14T21:26:34.2178245Z 7c5050d8408d: Pulling fs layer 2025-08-14T21:26:34.2178439Z 7ddd14e2b548: Pulling fs layer 2025-08-14T21:26:34.2178634Z 4ba8e7a736c8: Pulling fs layer 2025-08-14T21:26:34.2178828Z 907c320fee2f: Pulling fs layer 2025-08-14T21:26:34.2179024Z 18c4ed1ec491: Pulling fs layer 2025-08-14T21:26:34.2179222Z d7618c2df6cd: Pulling fs layer 2025-08-14T21:26:34.2179412Z b7bdd9a6f789: Pulling fs layer 2025-08-14T21:26:34.2179610Z 6738ba83282e: Pulling fs layer 2025-08-14T21:26:34.2179808Z dfb0f2488639: Pulling fs layer 2025-08-14T21:26:34.2179995Z dc833b0762f2: Pulling fs layer 2025-08-14T21:26:34.2180193Z 8827df8ca2da: Pulling fs layer 2025-08-14T21:26:34.2180392Z fac8f3bd0f85: Pulling fs layer 2025-08-14T21:26:34.2180593Z d7cf7f140df3: Pulling fs layer 2025-08-14T21:26:34.2180782Z 733eedc8da8d: Pulling fs layer 2025-08-14T21:26:34.2180980Z 5b092eb06909: Pulling fs layer 2025-08-14T21:26:34.2181175Z bc5961031092: Pulling fs layer 2025-08-14T21:26:34.2181360Z 0531cc34c12a: Pulling fs layer 2025-08-14T21:26:34.2181550Z 83c70f4266a6: Waiting 2025-08-14T21:26:34.2181731Z 60c725d21861: Waiting 2025-08-14T21:26:34.2181906Z 38c303d3b62e: Pulling fs layer 2025-08-14T21:26:34.2182104Z e06d15594a2a: Pulling fs layer 2025-08-14T21:26:34.2182305Z 0e55deb5cb38: Pulling fs layer 2025-08-14T21:26:34.2182479Z a504e76e66a4: Waiting 2025-08-14T21:26:34.2182680Z 98dda28f3395: Waiting 2025-08-14T21:26:34.2182839Z fc1c200a4f77: Waiting 2025-08-14T21:26:34.2183005Z acf5babd87f2: Waiting 2025-08-14T21:26:34.2183178Z 4a53d66dce07: Pulling fs layer 2025-08-14T21:26:34.2183358Z 1519daa051b8: Pulling fs layer 2025-08-14T21:26:34.2183540Z 7c5050d8408d: Waiting 2025-08-14T21:26:34.2183740Z 684349f50d94: Waiting 2025-08-14T21:26:34.2183901Z 7ddd14e2b548: Waiting 2025-08-14T21:26:34.2184212Z 381ed91d2119: Pulling fs layer 2025-08-14T21:26:34.2184402Z 2e1657907860: Waiting 2025-08-14T21:26:34.2184560Z 2c414689d31d: Waiting 2025-08-14T21:26:34.2184737Z 6d89b5f065d5: Waiting 2025-08-14T21:26:34.2184904Z 5a5cc76ada43: Waiting 2025-08-14T21:26:34.2185064Z c9c2b424b8e0: Waiting 2025-08-14T21:26:34.2185234Z 7b92d7a4b8c7: Waiting 2025-08-14T21:26:34.2185410Z c6b0a01a96dd: Pulling fs layer 2025-08-14T21:26:34.2185593Z 4f4fb700ef54: Waiting 2025-08-14T21:26:34.2185759Z 21d0eae87fb3: Waiting 2025-08-14T21:26:34.2185934Z 62df6413daee: Pulling fs layer 2025-08-14T21:26:34.2186114Z d6226eb61f82: Waiting 2025-08-14T21:26:34.2186279Z 43273c22704f: Waiting 2025-08-14T21:26:34.2186443Z 907c320fee2f: Waiting 2025-08-14T21:26:34.2186611Z 18c4ed1ec491: Waiting 2025-08-14T21:26:34.2186778Z 7a18bc2a6881: Pulling fs layer 2025-08-14T21:26:34.2186971Z 93359cd58a8c: Pulling fs layer 2025-08-14T21:26:34.2212361Z c35ba0a1f353: Pulling fs layer 2025-08-14T21:26:34.2212907Z dcf1e01c98d6: Pulling fs layer 2025-08-14T21:26:34.2213173Z fc6b37d40530: Waiting 2025-08-14T21:26:34.2213384Z fac8f3bd0f85: Waiting 2025-08-14T21:26:34.2213568Z bad0564f61fd: Pulling fs layer 2025-08-14T21:26:34.2213765Z 4ba8e7a736c8: Waiting 2025-08-14T21:26:34.2213940Z 0531cc34c12a: Waiting 2025-08-14T21:26:34.2214105Z d7cf7f140df3: Waiting 2025-08-14T21:26:34.2214285Z 539ded905736: Pulling fs layer 2025-08-14T21:26:34.2214477Z 6738ba83282e: Waiting 2025-08-14T21:26:34.2214877Z 733eedc8da8d: Waiting 2025-08-14T21:26:34.2215051Z 89df389d042a: Waiting 2025-08-14T21:26:34.2215283Z 5b092eb06909: Waiting 2025-08-14T21:26:34.2215476Z 28d482062637: Pulling fs layer 2025-08-14T21:26:34.2215668Z e06d15594a2a: Waiting 2025-08-14T21:26:34.2215845Z 3245316ff51b: Pulling fs layer 2025-08-14T21:26:34.2216032Z 0e55deb5cb38: Waiting 2025-08-14T21:26:34.2216210Z b53167d1a6df: Pulling fs layer 2025-08-14T21:26:34.2216405Z 7f5277f69167: Pulling fs layer 2025-08-14T21:26:34.2216643Z 23dff10cdaa5: Pulling fs layer 2025-08-14T21:26:34.2216842Z dfb0f2488639: Waiting 2025-08-14T21:26:34.2217041Z 9fb73296da6a: Pulling fs layer 2025-08-14T21:26:34.2217227Z dc833b0762f2: Waiting 2025-08-14T21:26:34.2217400Z 93359cd58a8c: Waiting 2025-08-14T21:26:34.2217581Z 8827df8ca2da: Waiting 2025-08-14T21:26:34.2217749Z 381ed91d2119: Waiting 2025-08-14T21:26:34.2217914Z 5c785dcb4cdb: Waiting 2025-08-14T21:26:34.2218085Z c6b0a01a96dd: Waiting 2025-08-14T21:26:34.2218252Z 836ab08052e8: Waiting 2025-08-14T21:26:34.2218424Z 7a18bc2a6881: Waiting 2025-08-14T21:26:34.2218597Z 53b11c77468c: Waiting 2025-08-14T21:26:34.2218765Z c35ba0a1f353: Waiting 2025-08-14T21:26:34.2218929Z b7bdd9a6f789: Waiting 2025-08-14T21:26:34.2219098Z b53167d1a6df: Waiting 2025-08-14T21:26:34.2219267Z 76a69b57b683: Waiting 2025-08-14T21:26:34.2219429Z 23dff10cdaa5: Waiting 2025-08-14T21:26:34.2219596Z 1519daa051b8: Waiting 2025-08-14T21:26:34.2219766Z bad0564f61fd: Waiting 2025-08-14T21:26:34.2219970Z 539ded905736: Waiting 2025-08-14T21:26:34.2220139Z 9fb73296da6a: Waiting 2025-08-14T21:26:34.2220308Z 28d482062637: Waiting 2025-08-14T21:26:34.2220470Z 3245316ff51b: Waiting 2025-08-14T21:26:34.2220642Z d7618c2df6cd: Waiting 2025-08-14T21:26:34.2220814Z bc5961031092: Waiting 2025-08-14T21:26:34.2220975Z 38c303d3b62e: Waiting 2025-08-14T21:26:34.2221151Z 7f5277f69167: Waiting 2025-08-14T21:26:34.2221320Z dcf1e01c98d6: Waiting 2025-08-14T21:26:34.2221480Z 4a53d66dce07: Waiting 2025-08-14T21:26:34.2221666Z e97311a6a967: Waiting 2025-08-14T21:26:34.2221838Z 62df6413daee: Waiting 2025-08-14T21:26:34.3055135Z c7b4a852a455: Verifying Checksum 2025-08-14T21:26:34.3060469Z c7b4a852a455: Download complete 2025-08-14T21:26:34.3864622Z 76a69b57b683: Download complete 2025-08-14T21:26:34.4729161Z 5c785dcb4cdb: Verifying Checksum 2025-08-14T21:26:34.4729491Z 5c785dcb4cdb: Download complete 2025-08-14T21:26:34.5390329Z 836ab08052e8: Download complete 2025-08-14T21:26:34.5722953Z 660ffc76f83b: Verifying Checksum 2025-08-14T21:26:34.5723316Z 660ffc76f83b: Download complete 2025-08-14T21:26:34.6271228Z 53b11c77468c: Verifying Checksum 2025-08-14T21:26:34.6271884Z 53b11c77468c: Download complete 2025-08-14T21:26:34.7284827Z e97311a6a967: Verifying Checksum 2025-08-14T21:26:34.8237676Z 6d89b5f065d5: Download complete 2025-08-14T21:26:34.9136320Z 5a5cc76ada43: Verifying Checksum 2025-08-14T21:26:34.9136670Z 5a5cc76ada43: Download complete 2025-08-14T21:26:34.9910197Z fc6b37d40530: Verifying Checksum 2025-08-14T21:26:34.9910510Z fc6b37d40530: Download complete 2025-08-14T21:26:35.0480242Z 2e1657907860: Verifying Checksum 2025-08-14T21:26:35.0482432Z 2e1657907860: Download complete 2025-08-14T21:26:35.7153828Z 660ffc76f83b: Pull complete 2025-08-14T21:26:35.7319012Z c7b4a852a455: Pull complete 2025-08-14T21:26:35.7983117Z 2c414689d31d: Verifying Checksum 2025-08-14T21:26:35.7983434Z 2c414689d31d: Download complete 2025-08-14T21:26:35.8093892Z 4f4fb700ef54: Verifying Checksum 2025-08-14T21:26:35.8094198Z 4f4fb700ef54: Download complete 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2025-08-14T21:26:36.6168354Z c9c2b424b8e0: Download complete 2025-08-14T21:26:36.6808681Z 98dda28f3395: Verifying Checksum 2025-08-14T21:26:36.6809053Z 98dda28f3395: Download complete 2025-08-14T21:26:36.7471022Z acf5babd87f2: Verifying Checksum 2025-08-14T21:26:36.7471329Z acf5babd87f2: Download complete 2025-08-14T21:26:37.4064375Z e5a28988c893: Verifying Checksum 2025-08-14T21:26:37.4064689Z e5a28988c893: Download complete 2025-08-14T21:26:37.4751098Z 7ddd14e2b548: Verifying Checksum 2025-08-14T21:26:37.4751414Z 7ddd14e2b548: Download complete 2025-08-14T21:26:37.5541836Z 4ba8e7a736c8: Verifying Checksum 2025-08-14T21:26:37.5542152Z 4ba8e7a736c8: Download complete 2025-08-14T21:26:37.6218503Z 907c320fee2f: Verifying Checksum 2025-08-14T21:26:37.6219395Z 907c320fee2f: Download complete 2025-08-14T21:26:37.6802021Z 18c4ed1ec491: Verifying Checksum 2025-08-14T21:26:37.6802335Z 18c4ed1ec491: Download complete 2025-08-14T21:26:37.9279317Z d7618c2df6cd: Verifying Checksum 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3245316ff51b: Pull complete 2025-08-14T21:35:53.4297044Z b53167d1a6df: Pull complete 2025-08-14T21:35:53.9536718Z 7f5277f69167: Pull complete 2025-08-14T21:35:54.4957659Z 23dff10cdaa5: Pull complete 2025-08-14T21:35:57.1336342Z 9fb73296da6a: Pull complete 2025-08-14T21:35:57.7920117Z Digest: sha256:4236794baba289041d240d08fd393bbd57497c3012e5e0ccd9fd98f61ebf35c6 2025-08-14T21:35:57.8657594Z 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 2025-08-14T21:35:57.9119741Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:35:57.9205970Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:35:57.9206585Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:35:57.9214622Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:57.9214872Z env: 2025-08-14T21:35:57.9215043Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:57.9215232Z ##[endgroup] 2025-08-14T21:35:57.9291848Z Prepare all required actions 2025-08-14T21:35:57.9319791Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-08-14T21:35:57.9320080Z with: 2025-08-14T21:35:57.9320742Z github-token: *** 2025-08-14T21:35:57.9320953Z env: 2025-08-14T21:35:57.9321152Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:57.9321374Z ##[endgroup] 2025-08-14T21:35:57.9468948Z ##[group]Run set -eux 2025-08-14T21:35:57.9469184Z set -eux 2025-08-14T21:35:57.9469499Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-08-14T21:35:57.9474908Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:57.9475179Z env: 2025-08-14T21:35:57.9475353Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:57.9475789Z GITHUB_TOKEN: *** 2025-08-14T21:35:57.9475963Z ##[endgroup] 2025-08-14T21:35:57.9498090Z + python3 .github/scripts/get_workflow_job_id.py 16976338999 i-08f1d77d22745dc3c 2025-08-14T21:35:59.5453853Z Setting output job-id=48128301912 2025-08-14T21:35:59.5454705Z Setting output job-name=linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:35:59.5575651Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-08-14T21:35:59.5576147Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-08-14T21:35:59.5576753Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-08-14T21:35:59.5577305Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:35:59.5582968Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:35:59.5583228Z env: 2025-08-14T21:35:59.5583397Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:35:59.5583579Z JOB_ID: 48128301912 2025-08-14T21:35:59.5583965Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:35:59.5584426Z WORKFLOW_NAME: inductor-periodic 2025-08-14T21:35:59.5584670Z WORKFLOW_RUN_ID: 16976338999 2025-08-14T21:35:59.5584862Z MONITOR_LOG_INTERVAL: 5 2025-08-14T21:35:59.5585057Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-08-14T21:35:59.5585257Z ##[endgroup] 2025-08-14T21:36:00.1555321Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:36:00.4257337Z Collecting psutil==5.9.8 2025-08-14T21:36:00.4408805Z 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) 2025-08-14T21:36:00.5269859Z Collecting dataclasses_json==0.6.7 2025-08-14T21:36:00.5299527Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-08-14T21:36:00.5578545Z Collecting nvidia-ml-py==11.525.84 2025-08-14T21:36:00.5610469Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-08-14T21:36:00.6588125Z Collecting marshmallow<4.0.0,>=3.18.0 2025-08-14T21:36:00.6621636Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-08-14T21:36:00.7084099Z Collecting typing-inspect<1,>=0.4.0 2025-08-14T21:36:00.7115733Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-08-14T21:36:00.8132368Z Collecting packaging>=17.0 2025-08-14T21:36:00.8170869Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-08-14T21:36:00.9033880Z Collecting mypy-extensions>=0.3.0 2025-08-14T21:36:00.9067475Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-08-14T21:36:01.0267595Z Collecting typing-extensions>=3.7.4 2025-08-14T21:36:01.0299301Z Downloading typing_extensions-4.14.1-py3-none-any.whl (43 kB) 2025-08-14T21:36:01.3308366Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-08-14T21:36:02.0072304Z 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 2025-08-14T21:36:02.2482092Z Prepare all required actions 2025-08-14T21:36:02.2482446Z Getting action download info 2025-08-14T21:36:02.3978038Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-08-14T21:36:02.7687297Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-08-14T21:36:05.2985643Z ##[group]Run ./.github/actions/download-build-artifacts 2025-08-14T21:36:05.2985936Z with: 2025-08-14T21:36:05.2986168Z name: linux-jammy-py3.9-gcc11-build 2025-08-14T21:36:05.2986423Z s3-bucket: gha-artifacts 2025-08-14T21:36:05.2986637Z env: 2025-08-14T21:36:05.2986823Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:36:05.2987033Z ##[endgroup] 2025-08-14T21:36:05.3173855Z ##[group]Run seemethere/download-artifact-s3@v4 2025-08-14T21:36:05.3174094Z with: 2025-08-14T21:36:05.3174280Z name: linux-jammy-py3.9-gcc11-build 2025-08-14T21:36:05.3174505Z s3-bucket: gha-artifacts 2025-08-14T21:36:05.3174737Z region: us-east-1 2025-08-14T21:36:05.3174897Z env: 2025-08-14T21:36:05.3175053Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:36:05.3175280Z ##[endgroup] 2025-08-14T21:36:06.0105048Z (node:48256) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-08-14T21:36:06.0105404Z 2025-08-14T21:36:06.0105556Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-08-14T21:36:06.0105958Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-08-14T21:36:06.0106399Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-08-14T21:36:07.4643744Z Found 1 objects with prefix pytorch/pytorch/16976338999/linux-jammy-py3.9-gcc11-build/ 2025-08-14T21:36:07.4644306Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-08-14T21:36:12.6616315Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-08-14T21:36:12.6621793Z Artifact download has finished successfully 2025-08-14T21:36:12.6824401Z ##[group]Run unzip -o artifacts.zip 2025-08-14T21:36:12.6824666Z unzip -o artifacts.zip 2025-08-14T21:36:12.6830401Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:36:12.6830658Z env: 2025-08-14T21:36:12.6830828Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:36:12.6831024Z ##[endgroup] 2025-08-14T21:36:12.6894989Z Archive: artifacts.zip 2025-08-14T21:36:12.6895231Z creating: dist/ 2025-08-14T21:36:13.8501709Z 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2025-08-14T21:36:20.0632531Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:36:20.0633007Z env: 2025-08-14T21:36:20.0633186Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:36:20.0633384Z ##[endgroup] 2025-08-14T21:36:20.1823509Z ##[group]Run df -H 2025-08-14T21:36:20.1823714Z df -H 2025-08-14T21:36:20.1828781Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:36:20.1829041Z env: 2025-08-14T21:36:20.1829245Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:36:20.1829446Z ##[endgroup] 2025-08-14T21:36:20.1869188Z Filesystem Size Used Avail Use% Mounted on 2025-08-14T21:36:20.1869489Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-08-14T21:36:20.1870030Z tmpfs 67G 0 67G 0% /dev/shm 2025-08-14T21:36:20.1870268Z tmpfs 27G 791k 27G 1% /run 2025-08-14T21:36:20.1870603Z /dev/nvme0n1p1 215G 69G 147G 32% / 2025-08-14T21:36:20.1870848Z tmpfs 67G 13k 67G 1% /tmp 2025-08-14T21:36:20.1871125Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-08-14T21:36:20.1896316Z Prepare all required actions 2025-08-14T21:36:20.1897393Z Getting action download info 2025-08-14T21:36:20.3296087Z ##[group]Run ./.github/actions/download-td-artifacts 2025-08-14T21:36:20.3296390Z with: 2025-08-14T21:36:20.3296773Z env: 2025-08-14T21:36:20.3296976Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:36:20.3297209Z ##[endgroup] 2025-08-14T21:36:20.3323082Z ##[group]Run seemethere/download-artifact-s3@v4 2025-08-14T21:36:20.3323333Z with: 2025-08-14T21:36:20.3323505Z name: td_results 2025-08-14T21:36:20.3323695Z s3-bucket: gha-artifacts 2025-08-14T21:36:20.3323893Z region: us-east-1 2025-08-14T21:36:20.3324074Z env: 2025-08-14T21:36:20.3324255Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:36:20.3324434Z ##[endgroup] 2025-08-14T21:36:20.6977578Z (node:48277) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-08-14T21:36:20.6978030Z 2025-08-14T21:36:20.6978265Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-08-14T21:36:20.6978687Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-08-14T21:36:20.6979070Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-08-14T21:36:20.7911039Z Found 0 objects with prefix pytorch/pytorch/16976338999/td_results/ 2025-08-14T21:36:20.7911834Z Artifact download has finished successfully 2025-08-14T21:36:20.8125136Z ##[group]Run mkdir -p .additional_ci_files 2025-08-14T21:36:20.8125413Z mkdir -p .additional_ci_files 2025-08-14T21:36:20.8125712Z mv td_results.json .additional_ci_files/td_results.json || true 2025-08-14T21:36:20.8131555Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:36:20.8131812Z env: 2025-08-14T21:36:20.8131981Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:36:20.8132164Z ##[endgroup] 2025-08-14T21:36:20.8182288Z mv: cannot stat 'td_results.json': No such file or directory 2025-08-14T21:36:20.8208701Z ##[group]Run .github/scripts/parse_ref.py 2025-08-14T21:36:20.8208966Z .github/scripts/parse_ref.py 2025-08-14T21:36:20.8213153Z shell: /usr/bin/bash -e {0} 2025-08-14T21:36:20.8213351Z env: 2025-08-14T21:36:20.8213518Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:36:20.8213701Z ##[endgroup] 2025-08-14T21:36:20.8403850Z Setting output branch=main 2025-08-14T21:36:20.8493159Z Prepare all required actions 2025-08-14T21:36:20.8493510Z Getting action download info 2025-08-14T21:36:20.9794800Z ##[group]Run ./.github/actions/filter-test-configs 2025-08-14T21:36:20.9795102Z with: 2025-08-14T21:36:20.9795631Z github-token: *** 2025-08-14T21:36:20.9798362Z 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"}]} 2025-08-14T21:36:20.9801516Z job-name: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:36:20.9802024Z env: 2025-08-14T21:36:20.9802229Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:36:20.9802455Z ##[endgroup] 2025-08-14T21:36:21.0151880Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-14T21:36:21.0152115Z with: 2025-08-14T21:36:21.0152286Z shell: bash 2025-08-14T21:36:21.0152464Z timeout_minutes: 10 2025-08-14T21:36:21.0152638Z max_attempts: 5 2025-08-14T21:36:21.0153056Z retry_wait_seconds: 30 2025-08-14T21:36:21.0153586Z 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 2025-08-14T21:36:21.0154112Z polling_interval_seconds: 1 2025-08-14T21:36:21.0154309Z warning_on_retry: true 2025-08-14T21:36:21.0154503Z continue_on_error: false 2025-08-14T21:36:21.0154698Z env: 2025-08-14T21:36:21.0154859Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:36:21.0155371Z GITHUB_TOKEN: *** 2025-08-14T21:36:21.0155544Z ##[endgroup] 2025-08-14T21:36:21.1053678Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-08-14T21:36:21.2984387Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:36:21.3863530Z Collecting requests==2.27.1 2025-08-14T21:36:21.4011272Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-08-14T21:36:21.5240991Z Collecting pyyaml==6.0.2 2025-08-14T21:36:21.5278608Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-08-14T21:36:21.8154645Z Collecting charset-normalizer~=2.0.0 2025-08-14T21:36:21.8186192Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-08-14T21:36:21.8237992Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-08-14T21:36:21.8595884Z Collecting certifi>=2017.4.17 2025-08-14T21:36:21.8638584Z Downloading certifi-2025.8.3-py3-none-any.whl (161 kB) 2025-08-14T21:36:21.8703240Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-08-14T21:36:21.9377208Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-08-14T21:36:22.0510015Z Successfully installed certifi-2025.8.3 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-08-14T21:36:23.0823478Z Command completed after 1 attempt(s). 2025-08-14T21:36:23.0889633Z ##[group]Run set -x 2025-08-14T21:36:23.0889866Z set -x 2025-08-14T21:36:23.0890030Z  2025-08-14T21:36:23.0890314Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-08-14T21:36:23.0890668Z # in runner workspace 2025-08-14T21:36:23.0890945Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-08-14T21:36:23.0897343Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:36:23.0897619Z env: 2025-08-14T21:36:23.0897797Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:36:23.0897986Z ##[endgroup] 2025-08-14T21:36:23.0922563Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-08-14T21:36:23.1080773Z Setting output branch=main 2025-08-14T21:36:23.1134332Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-08-14T21:36:23.1134641Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-08-14T21:36:23.1134911Z echo "Job name: ${JOB_NAME}" 2025-08-14T21:36:23.1135129Z  2025-08-14T21:36:23.1135400Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-08-14T21:36:23.1135717Z # in runner workspace 2025-08-14T21:36:23.1136016Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-08-14T21:36:23.1136342Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-08-14T21:36:23.1136569Z  --job-name "${JOB_NAME}" \ 2025-08-14T21:36:23.1138877Z  --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"}]}" \ 2025-08-14T21:36:23.1141456Z  --selected-test-configs "" \ 2025-08-14T21:36:23.1141702Z  --pr-number "${PR_NUMBER}" \ 2025-08-14T21:36:23.1141935Z  --tag "${TAG}" \ 2025-08-14T21:36:23.1142158Z  --event-name "${EVENT_NAME}" \ 2025-08-14T21:36:23.1142405Z  --schedule "${SCHEDULE}" \ 2025-08-14T21:36:23.1142628Z  --branch "${HEAD_BRANCH}" 2025-08-14T21:36:23.1147648Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:36:23.1147923Z env: 2025-08-14T21:36:23.1148093Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:36:23.1148605Z GITHUB_TOKEN: *** 2025-08-14T21:36:23.1149038Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:36:23.1149474Z PR_NUMBER: 2025-08-14T21:36:23.1149641Z TAG: 2025-08-14T21:36:23.1149807Z EVENT_NAME: schedule 2025-08-14T21:36:23.1150009Z SCHEDULE: 45 0,4,8,12,16,20 * * 1-5 2025-08-14T21:36:23.1150229Z HEAD_BRANCH: main 2025-08-14T21:36:23.1150415Z ##[endgroup] 2025-08-14T21:36:23.1175956Z Workflow: inductor-periodic 2025-08-14T21:36:23.1176471Z Job name: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:36:23.2807948Z Setting output keep-going=True 2025-08-14T21:36:23.2808642Z Setting output ci-verbose-test-logs=False 2025-08-14T21:36:23.2808906Z Setting output ci-test-showlocals=False 2025-08-14T21:36:23.2809149Z Setting output ci-no-test-timeout=False 2025-08-14T21:36:23.2809378Z Setting output ci-no-td=False 2025-08-14T21:36:23.2809604Z Setting output ci-td-distributed=False 2025-08-14T21:36:23.2809828Z Setting output is-unstable=False 2025-08-14T21:36:23.2810041Z Setting output reenabled-issues= 2025-08-14T21:36:23.2812345Z 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"}]} 2025-08-14T21:36:23.2814977Z Setting output is-test-matrix-empty=False 2025-08-14T21:36:23.2952343Z ##[group]Run echo "Filtered matrix:" 2025-08-14T21:36:23.2952626Z echo "Filtered matrix:" 2025-08-14T21:36:23.2955168Z 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"}]}" 2025-08-14T21:36:23.2957564Z  2025-08-14T21:36:23.2957731Z echo 2025-08-14T21:36:23.2957941Z echo "Is the current job unstable? False" 2025-08-14T21:36:23.2958174Z  2025-08-14T21:36:23.2958335Z echo 2025-08-14T21:36:23.2958528Z echo "Is keep-going label set? True" 2025-08-14T21:36:23.2958749Z  2025-08-14T21:36:23.2958905Z echo 2025-08-14T21:36:23.2959088Z echo "Reenabled issues? " 2025-08-14T21:36:23.2964120Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:36:23.2964393Z env: 2025-08-14T21:36:23.2964571Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:36:23.2964779Z ##[endgroup] 2025-08-14T21:36:23.2988977Z Filtered matrix: 2025-08-14T21:36:23.2991730Z {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}]} 2025-08-14T21:36:23.2994398Z 2025-08-14T21:36:23.2994514Z Is the current job unstable? False 2025-08-14T21:36:23.2994664Z 2025-08-14T21:36:23.2994749Z Is keep-going label set? True 2025-08-14T21:36:23.2994908Z 2025-08-14T21:36:23.2994985Z Reenabled issues? 2025-08-14T21:36:23.3158335Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-08-14T21:36:23.3158715Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-08-14T21:36:23.3163588Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:36:23.3163845Z env: 2025-08-14T21:36:23.3164013Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:36:23.3164196Z JOB_TIMEOUT: 240 2025-08-14T21:36:23.3164370Z ##[endgroup] 2025-08-14T21:36:23.3301179Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:36:23.3301553Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:36:23.3301893Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:36:23.3306755Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:36:23.3307024Z env: 2025-08-14T21:36:23.3307196Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:36:23.3307380Z ##[endgroup] 2025-08-14T21:36:23.3494946Z ##[group]Run set -x 2025-08-14T21:36:23.3495223Z set -x 2025-08-14T21:36:23.3495385Z  2025-08-14T21:36:23.3495575Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-08-14T21:36:23.3495858Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-08-14T21:36:23.3496119Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-08-14T21:36:23.3496367Z  TEST_COMMAND=.ci/onnx/test.sh 2025-08-14T21:36:23.3496764Z else 2025-08-14T21:36:23.3496954Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-08-14T21:36:23.3497162Z fi 2025-08-14T21:36:23.3497334Z  2025-08-14T21:36:23.3497523Z # Leaving 1GB for the runner and other things 2025-08-14T21:36:23.3497900Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-08-14T21:36:23.3498500Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-08-14T21:36:23.3498938Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-08-14T21:36:23.3499286Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-08-14T21:36:23.3499557Z  2025-08-14T21:36:23.3499750Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-08-14T21:36:23.3499978Z  SHM_OPTS= 2025-08-14T21:36:23.3500158Z  JENKINS_USER= 2025-08-14T21:36:23.3500402Z  # ensure that docker container cleanly exits in 12 hours 2025-08-14T21:36:23.3500705Z  # if for some reason cleanup action doesn't stop container 2025-08-14T21:36:23.3500969Z  # when job is cancelled 2025-08-14T21:36:23.3501185Z  DOCKER_SHELL_CMD="sleep 12h" 2025-08-14T21:36:23.3501388Z else 2025-08-14T21:36:23.3501565Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-08-14T21:36:23.3501795Z  JENKINS_USER="--user jenkins" 2025-08-14T21:36:23.3502017Z  DOCKER_SHELL_CMD= 2025-08-14T21:36:23.3502194Z fi 2025-08-14T21:36:23.3502343Z  2025-08-14T21:36:23.3502576Z # detached container should get cleaned up by teardown_ec2_linux 2025-08-14T21:36:23.3502907Z # TODO: Stop building test binaries as part of the build phase 2025-08-14T21:36:23.3503290Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-08-14T21:36:23.3503628Z # shellcheck disable=SC2086,SC2090 2025-08-14T21:36:23.3503856Z container_name=$(docker run \ 2025-08-14T21:36:23.3504063Z  ${GPU_FLAG:-} \ 2025-08-14T21:36:23.3504402Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-08-14T21:36:23.3504641Z  -e BUILD_ENVIRONMENT \ 2025-08-14T21:36:23.3504843Z  -e PR_NUMBER \ 2025-08-14T21:36:23.3505036Z  -e GITHUB_ACTIONS \ 2025-08-14T21:36:23.3505242Z  -e GITHUB_REPOSITORY \ 2025-08-14T21:36:23.3505457Z  -e GITHUB_WORKFLOW \ 2025-08-14T21:36:23.3505655Z  -e GITHUB_JOB \ 2025-08-14T21:36:23.3505850Z  -e GITHUB_RUN_ID \ 2025-08-14T21:36:23.3506052Z  -e GITHUB_RUN_NUMBER \ 2025-08-14T21:36:23.3506256Z  -e GITHUB_RUN_ATTEMPT \ 2025-08-14T21:36:23.3506471Z  -e JOB_ID \ 2025-08-14T21:36:23.3506662Z  -e JOB_NAME \ 2025-08-14T21:36:23.3506848Z  -e BASE_SHA \ 2025-08-14T21:36:23.3507034Z  -e BRANCH \ 2025-08-14T21:36:23.3507215Z  -e SHA1 \ 2025-08-14T21:36:23.3507402Z  -e AWS_DEFAULT_REGION \ 2025-08-14T21:36:23.3507607Z  -e IN_WHEEL_TEST \ 2025-08-14T21:36:23.3507801Z  -e SHARD_NUMBER \ 2025-08-14T21:36:23.3507991Z  -e TEST_CONFIG \ 2025-08-14T21:36:23.3508174Z  -e NUM_TEST_SHARDS \ 2025-08-14T21:36:23.3508376Z  -e REENABLED_ISSUES \ 2025-08-14T21:36:23.3508584Z  -e CONTINUE_THROUGH_ERROR \ 2025-08-14T21:36:23.3508882Z  -e VERBOSE_TEST_LOGS \ 2025-08-14T21:36:23.3509088Z  -e TEST_SHOWLOCALS \ 2025-08-14T21:36:23.3509287Z  -e NO_TEST_TIMEOUT \ 2025-08-14T21:36:23.3509470Z  -e NO_TD \ 2025-08-14T21:36:23.3509652Z  -e TD_DISTRIBUTED \ 2025-08-14T21:36:23.3509846Z  -e PR_LABELS \ 2025-08-14T21:36:23.3510058Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-08-14T21:36:23.3510280Z  -e SCCACHE_BUCKET \ 2025-08-14T21:36:23.3510476Z  -e SCCACHE_REGION \ 2025-08-14T21:36:23.3510666Z  -e XLA_CUDA \ 2025-08-14T21:36:23.3510861Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-08-14T21:36:23.3511108Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-08-14T21:36:23.3511353Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-08-14T21:36:23.3511596Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-08-14T21:36:23.3511833Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-08-14T21:36:23.3512065Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-08-14T21:36:23.3512289Z  -e DASHBOARD_TAG \ 2025-08-14T21:36:23.3512487Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-08-14T21:36:23.3513142Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-08-14T21:36:23.3513448Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-08-14T21:36:23.3513727Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-08-14T21:36:23.3514001Z  --security-opt seccomp=unconfined \ 2025-08-14T21:36:23.3514242Z  --cap-add=SYS_PTRACE \ 2025-08-14T21:36:23.3514455Z  --ipc=host \ 2025-08-14T21:36:23.3514644Z  ${SHM_OPTS} \ 2025-08-14T21:36:23.3514839Z  --tty \ 2025-08-14T21:36:23.3515016Z  --detach \ 2025-08-14T21:36:23.3515202Z  --name="${container_name}" \ 2025-08-14T21:36:23.3515426Z  ${JENKINS_USER} \ 2025-08-14T21:36:23.3515675Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-08-14T21:36:23.3515944Z  -w /var/lib/jenkins/workspace \ 2025-08-14T21:36:23.3516172Z  "${DOCKER_IMAGE}" \ 2025-08-14T21:36:23.3516377Z  ${DOCKER_SHELL_CMD} 2025-08-14T21:36:23.3516562Z ) 2025-08-14T21:36:23.3516778Z # Propagate download.pytorch.org IP to container 2025-08-14T21:36:23.3517217Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-08-14T21:36:23.3517673Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-08-14T21:36:23.3517942Z  2025-08-14T21:36:23.3518137Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-08-14T21:36:23.3518585Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-08-14T21:36:23.3518924Z fi 2025-08-14T21:36:23.3519078Z  2025-08-14T21:36:23.3519414Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-08-14T21:36:23.3524363Z shell: /usr/bin/bash -e {0} 2025-08-14T21:36:23.3524555Z env: 2025-08-14T21:36:23.3524728Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:36:23.3524971Z BUILD_ENVIRONMENT: linux-jammy-py3.9-gcc11-build 2025-08-14T21:36:23.3525210Z PR_NUMBER: 2025-08-14T21:36:23.3525401Z GITHUB_REPOSITORY: pytorch/pytorch 2025-08-14T21:36:23.3525636Z GITHUB_WORKFLOW: inductor-periodic 2025-08-14T21:36:23.3525838Z GITHUB_JOB: test 2025-08-14T21:36:23.3526018Z GITHUB_RUN_ID: 16976338999 2025-08-14T21:36:23.3526214Z GITHUB_RUN_NUMBER: 66307 2025-08-14T21:36:23.3526406Z GITHUB_RUN_ATTEMPT: 1 2025-08-14T21:36:23.3526588Z JOB_ID: 48128301912 2025-08-14T21:36:23.3526994Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:36:23.3527398Z BRANCH: main 2025-08-14T21:36:23.3527578Z SHA1: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:36:23.3527921Z BASE_SHA: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:36:23.3528161Z TEST_CONFIG: cpu_inductor_timm 2025-08-14T21:36:23.3528355Z SHARD_NUMBER: 2 2025-08-14T21:36:23.3528520Z NUM_TEST_SHARDS: 2 2025-08-14T21:36:23.3528690Z REENABLED_ISSUES: 2025-08-14T21:36:23.3528865Z CONTINUE_THROUGH_ERROR: True 2025-08-14T21:36:23.3529057Z VERBOSE_TEST_LOGS: False 2025-08-14T21:36:23.3529249Z TEST_SHOWLOCALS: False 2025-08-14T21:36:23.3529434Z NO_TEST_TIMEOUT: False 2025-08-14T21:36:23.3529605Z NO_TD: False 2025-08-14T21:36:23.3529774Z TD_DISTRIBUTED: False 2025-08-14T21:36:23.3529994Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-08-14T21:36:23.3530241Z SCCACHE_REGION: us-east-1 2025-08-14T21:36:23.3530428Z SHM_SIZE: 1g 2025-08-14T21:36:23.3530952Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:36:23.3531498Z XLA_CUDA: 2025-08-14T21:36:23.3531742Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-08-14T21:36:23.3532051Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-08-14T21:36:23.3532276Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-08-14T21:36:23.3532500Z DASHBOARD_TAG: 2025-08-14T21:36:23.3532862Z HUGGING_FACE_HUB_TOKEN: *** 2025-08-14T21:36:23.3533147Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-08-14T21:36:23.3533454Z ARTIFACTS_FILE_SUFFIX: test-cpu_inductor_timm-2-2-linux.8xlarge.amx_48128301912 2025-08-14T21:36:23.3533747Z ##[endgroup] 2025-08-14T21:36:23.3557273Z + [[ cpu_inductor_timm == \m\u\l\t\i\g\p\u ]] 2025-08-14T21:36:23.3557630Z + [[ linux-jammy-py3.9-gcc11-build == *onnx* ]] 2025-08-14T21:36:23.3560791Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-08-14T21:36:23.3561113Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-08-14T21:36:23.3576927Z + TOTAL_AVAILABLE_MEMORY_IN_GB='122.780 ' 2025-08-14T21:36:23.3577270Z + TOTAL_MEMORY_WITH_SWAP=125 2025-08-14T21:36:23.3577563Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]] 2025-08-14T21:36:23.3577853Z + SHM_OPTS=--shm-size=1g 2025-08-14T21:36:23.3578128Z + JENKINS_USER='--user jenkins' 2025-08-14T21:36:23.3578339Z + DOCKER_SHELL_CMD= 2025-08-14T21:36:23.3586002Z +++ nproc --ignore=2 2025-08-14T21:36:23.3982825Z ++ 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 2025-08-14T21:36:36.3030430Z + container_name=6950ef67fae7c317c053ca98665215c42a78e5255691ed3d0b129799262b858c 2025-08-14T21:36:36.3035021Z + grep download.pytorch.org /etc/hosts 2025-08-14T21:36:36.3039439Z + docker exec -i 6950ef67fae7c317c053ca98665215c42a78e5255691ed3d0b129799262b858c sudo bash -c '/bin/cat >> /etc/hosts' 2025-08-14T21:36:36.3964091Z + echo DOCKER_CONTAINER_ID=6950ef67fae7c317c053ca98665215c42a78e5255691ed3d0b129799262b858c 2025-08-14T21:36:36.3965135Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]] 2025-08-14T21:36:36.3969353Z ++ echo dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl 2025-08-14T21:36:36.3971424Z + docker exec -t 6950ef67fae7c317c053ca98665215c42a78e5255691ed3d0b129799262b858c sh -c 'python3 -m pip install dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-08-14T21:36:36.7492493Z Processing ./dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl (from torch==2.9.0a0+git1fc683c) 2025-08-14T21:36:36.9748855Z 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) 2025-08-14T21:36:36.9749783Z 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) 2025-08-14T21:36:36.9758650Z 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) 2025-08-14T21:36:36.9759466Z 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) 2025-08-14T21:36:36.9765042Z 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) 2025-08-14T21:36:36.9766321Z 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) 2025-08-14T21:36:36.9777988Z 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) 2025-08-14T21:36:37.0089683Z 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) 2025-08-14T21:36:37.0107097Z 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) 2025-08-14T21:36:37.0160673Z 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) 2025-08-14T21:36:37.8190324Z Installing collected packages: torch 2025-08-14T21:36:45.4727142Z ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. 2025-08-14T21:36:45.4730088Z dall-e 0.1 requires torchvision, which is not installed. 2025-08-14T21:36:45.4730498Z effdet 0.4.1 requires torchvision, which is not installed. 2025-08-14T21:36:45.4737079Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-08-14T21:36:45.4741684Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-08-14T21:36:45.4747425Z timm 1.0.14 requires torchvision, which is not installed. 2025-08-14T21:36:45.4747866Z Successfully installed torch-2.9.0a0+git1fc683c 2025-08-14T21:36:45.5656718Z + export TERM=vt100 2025-08-14T21:36:45.5657587Z + TERM=vt100 2025-08-14T21:36:45.5657835Z ++ dirname .ci/pytorch/test.sh 2025-08-14T21:36:45.5665624Z + source .ci/pytorch/common.sh 2025-08-14T21:36:45.5671078Z +++ dirname .ci/pytorch/common.sh 2025-08-14T21:36:45.5678984Z ++ source .ci/pytorch/common_utils.sh 2025-08-14T21:36:45.5679693Z +++ declare -f -t trap_add 2025-08-14T21:36:45.5681937Z ++ set -ex -o pipefail 2025-08-14T21:36:45.5682656Z ++ [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-08-14T21:36:45.5683031Z ++ BUILD_TEST_LIBTORCH=0 2025-08-14T21:36:45.5689666Z ++ dirname .ci/pytorch/test.sh 2025-08-14T21:36:45.5696019Z + source .ci/pytorch/common-build.sh 2025-08-14T21:36:45.5701677Z ++ [[ linux-jammy-py3.9-gcc11-build != *win-* ]] 2025-08-14T21:36:45.5707027Z ++++ dirname .ci/pytorch/common-build.sh 2025-08-14T21:36:45.5711896Z +++ cd .ci/pytorch 2025-08-14T21:36:45.5712141Z +++ pwd -P 2025-08-14T21:36:45.5712364Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-08-14T21:36:45.5712692Z ++ [[ linux-jammy-py3.9-gcc11-build == *-pch* ]] 2025-08-14T21:36:45.5713160Z ++ which sccache 2025-08-14T21:36:45.5732757Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-08-14T21:36:45.5733097Z ++ sccache --stop-server 2025-08-14T21:36:45.5759833Z ++ true 2025-08-14T21:36:45.5762062Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-08-14T21:36:45.5767859Z ++ trap_add sccache_epilogue EXIT 2025-08-14T21:36:45.5768115Z ++ trap_add_cmd=sccache_epilogue 2025-08-14T21:36:45.5768332Z ++ shift 2025-08-14T21:36:45.5768510Z ++ for trap_add_name in "$@" 2025-08-14T21:36:45.5774119Z ++++ trap -p EXIT 2025-08-14T21:36:45.5778026Z +++ eval 'extract_trap_cmd ' 2025-08-14T21:36:45.5778252Z ++++ extract_trap_cmd 2025-08-14T21:36:45.5778754Z ++++ printf '%s\n' '' 2025-08-14T21:36:45.5779016Z +++ printf '%s\n' sccache_epilogue 2025-08-14T21:36:45.5782992Z ++ trap -- ' 2025-08-14T21:36:45.5783189Z sccache_epilogue' EXIT 2025-08-14T21:36:45.5783426Z ++ [[ -n 1 ]] 2025-08-14T21:36:45.5783728Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-08-14T21:36:45.5784130Z Skipping sccache server initialization, setting environment variables 2025-08-14T21:36:45.5784426Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:36:45.5784638Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:36:45.5784880Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:36:45.5785199Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:36:45.5785508Z ++ export RUST_LOG=sccache::server=error 2025-08-14T21:36:45.5785727Z ++ RUST_LOG=sccache::server=error 2025-08-14T21:36:45.5785936Z ++ sccache --zero-stats 2025-08-14T21:36:45.7188449Z Statistics zeroed. 2025-08-14T21:36:45.7195612Z ++ which ccache 2025-08-14T21:36:45.7226217Z + [[ linux-jammy-py3.9-gcc11-build != *rocm* ]] 2025-08-14T21:36:45.7226553Z + [[ linux-jammy-py3.9-gcc11-build != *s390x* ]] 2025-08-14T21:36:45.7226830Z + [[ -d /var/lib/jenkins/workspace ]] 2025-08-14T21:36:45.7227538Z ++ stat -c %u /var/lib/jenkins/workspace 2025-08-14T21:36:45.7243259Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-08-14T21:36:45.7243583Z + trap_add cleanup_workspace EXIT 2025-08-14T21:36:45.7243961Z + trap_add_cmd=cleanup_workspace 2025-08-14T21:36:45.7244194Z + shift 2025-08-14T21:36:45.7244500Z + for trap_add_name in "$@" 2025-08-14T21:36:45.7249114Z +++ trap -p EXIT 2025-08-14T21:36:45.7256236Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-08-14T21:36:45.7256845Z sccache_epilogue'\'' EXIT' 2025-08-14T21:36:45.7257070Z +++ extract_trap_cmd trap -- ' 2025-08-14T21:36:45.7257272Z sccache_epilogue' EXIT 2025-08-14T21:36:45.7257468Z +++ printf '%s\n' ' 2025-08-14T21:36:45.7257653Z sccache_epilogue' 2025-08-14T21:36:45.7257842Z ++ printf '%s\n' cleanup_workspace 2025-08-14T21:36:45.7258064Z + trap -- ' 2025-08-14T21:36:45.7258237Z sccache_epilogue 2025-08-14T21:36:45.7258413Z cleanup_workspace' EXIT 2025-08-14T21:36:45.7258644Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-08-14T21:36:46.1593633Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-08-14T21:36:46.1611693Z + echo 'Environment variables:' 2025-08-14T21:36:46.1616358Z Environment variables: 2025-08-14T21:36:46.1616602Z + env 2025-08-14T21:36:46.1620835Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:36:46.1621211Z CONTINUE_THROUGH_ERROR=True 2025-08-14T21:36:46.1621470Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build 2025-08-14T21:36:46.1621813Z HOSTNAME=6950ef67fae7 2025-08-14T21:36:46.1622232Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_7e8d74da-7ca3-414b-8d42-ce172dc2f06a 2025-08-14T21:36:46.1622628Z GITHUB_ACTION=__run_2 2025-08-14T21:36:46.1622820Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-08-14T21:36:46.1623295Z GITHUB_RUN_NUMBER=66307 2025-08-14T21:36:46.1623495Z TEST_CONFIG=cpu_inductor_timm 2025-08-14T21:36:46.1623709Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-08-14T21:36:46.1623944Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-08-14T21:36:46.1624161Z SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:36:46.1624605Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-08-14T21:36:46.1624828Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-08-14T21:36:46.1625051Z GITHUB_REF_TYPE=branch 2025-08-14T21:36:46.1625232Z TORCH_CUDA_ARCH_LIST=Maxwell 2025-08-14T21:36:46.1625460Z BASE_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:36:46.1625691Z XLA_CUDA= 2025-08-14T21:36:46.1625866Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-08-14T21:36:46.1626149Z HUGGING_FACE_HUB_TOKEN=*** 2025-08-14T21:36:46.1626624Z *** 2025-08-14T21:36:46.1626796Z GITHUB_REPOSITORY_ID=65600975 2025-08-14T21:36:46.1626986Z GITHUB_ACTIONS=true 2025-08-14T21:36:46.1627204Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:36:46.1627485Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:36:46.1627740Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:36:46.1628128Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-periodic.yml@refs/heads/main 2025-08-14T21:36:46.1628498Z UCC_HOME=/usr 2025-08-14T21:36:46.1628664Z VERBOSE_TEST_LOGS=False 2025-08-14T21:36:46.1628857Z GITHUB_REF=refs/heads/main 2025-08-14T21:36:46.1629045Z SHARD_NUMBER=2 2025-08-14T21:36:46.1629211Z GITHUB_REF_PROTECTED=true 2025-08-14T21:36:46.1629403Z HOME=/var/lib/jenkins 2025-08-14T21:36:46.1629609Z GITHUB_API_URL=https://api.github.com 2025-08-14T21:36:46.1629847Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-08-14T21:36:46.1630052Z UCX_COMMIT= 2025-08-14T21:36:46.1630214Z USE_SYSTEM_NCCL=1 2025-08-14T21:36:46.1630386Z NUM_TEST_SHARDS=2 2025-08-14T21:36:46.1630548Z UCX_HOME=/usr 2025-08-14T21:36:46.1630928Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_7e8d74da-7ca3-414b-8d42-ce172dc2f06a 2025-08-14T21:36:46.1631564Z JOB_NAME=linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:36:46.1632175Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_7e8d74da-7ca3-414b-8d42-ce172dc2f06a 2025-08-14T21:36:46.1632687Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-08-14T21:36:46.1633340Z GITHUB_EVENT_NAME=schedule 2025-08-14T21:36:46.1633543Z DASHBOARD_TAG= 2025-08-14T21:36:46.1633711Z GITHUB_RUN_ID=16976338999 2025-08-14T21:36:46.1633900Z INSTALLED_OPENBLAS= 2025-08-14T21:36:46.1634307Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_7e8d74da-7ca3-414b-8d42-ce172dc2f06a 2025-08-14T21:36:46.1634886Z GITHUB_ACTOR=pytorchmergebot 2025-08-14T21:36:46.1635087Z PR_NUMBER= 2025-08-14T21:36:46.1635250Z DESIRED_CUDA= 2025-08-14T21:36:46.1635412Z GITHUB_RUN_ATTEMPT=1 2025-08-14T21:36:46.1635603Z ANACONDA_PYTHON_VERSION=3.9 2025-08-14T21:36:46.1635848Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-08-14T21:36:46.1636079Z TERM=vt100 2025-08-14T21:36:46.1636240Z INSTALLED_VISION=yes 2025-08-14T21:36:46.1636414Z BRANCH=main 2025-08-14T21:36:46.1636574Z SCCACHE_REGION=us-east-1 2025-08-14T21:36:46.1636774Z OPENSSL_ROOT_DIR=/opt/openssl 2025-08-14T21:36:46.1636972Z CUDA_PATH=/usr/local/cuda 2025-08-14T21:36:46.1637315Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-08-14T21:36:46.1637684Z GITHUB_SERVER_URL=https://github.com 2025-08-14T21:36:46.1637895Z UCC_COMMIT= 2025-08-14T21:36:46.1638053Z REENABLED_ISSUES= 2025-08-14T21:36:46.1638215Z DOCS=yes 2025-08-14T21:36:46.1638363Z SHLVL=1 2025-08-14T21:36:46.1638513Z MAX_JOBS=30 2025-08-14T21:36:46.1638669Z GITHUB_ACTOR_ID=97764156 2025-08-14T21:36:46.1638909Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:36:46.1639163Z GITHUB_REF_NAME=main 2025-08-14T21:36:46.1639484Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-08-14T21:36:46.1639780Z GITHUB_JOB=test 2025-08-14T21:36:46.1639953Z NO_TEST_TIMEOUT=False 2025-08-14T21:36:46.1640126Z TD_DISTRIBUTED=False 2025-08-14T21:36:46.1640320Z GITHUB_REPOSITORY=pytorch/pytorch 2025-08-14T21:36:46.1640536Z GITHUB_RETENTION_DAYS=90 2025-08-14T21:36:46.1640720Z OPENSSL_DIR=/opt/openssl 2025-08-14T21:36:46.1640912Z GITHUB_ACTION_REPOSITORY= 2025-08-14T21:36:46.1641420Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-08-14T21:36:46.1641911Z GITHUB_BASE_REF= 2025-08-14T21:36:46.1642079Z INSTALLED_ACL= 2025-08-14T21:36:46.1642354Z ARTIFACTS_FILE_SUFFIX=test-cpu_inductor_timm-2-2-linux.8xlarge.amx_48128301912 2025-08-14T21:36:46.1642658Z CI=true 2025-08-14T21:36:46.1642817Z GITHUB_REPOSITORY_OWNER=pytorch 2025-08-14T21:36:46.1643075Z RUST_LOG=sccache::server=error 2025-08-14T21:36:46.1643271Z JOB_ID=48128301912 2025-08-14T21:36:46.1643435Z GITHUB_HEAD_REF= 2025-08-14T21:36:46.1643605Z GITHUB_ACTION_REF= 2025-08-14T21:36:46.1643819Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-08-14T21:36:46.1644057Z TEST_SHOWLOCALS=False 2025-08-14T21:36:46.1644252Z GITHUB_WORKFLOW=inductor-periodic 2025-08-14T21:36:46.1644469Z DEBIAN_FRONTEND=noninteractive 2025-08-14T21:36:46.1644873Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_7e8d74da-7ca3-414b-8d42-ce172dc2f06a 2025-08-14T21:36:46.1645274Z NO_TD=False 2025-08-14T21:36:46.1645441Z SKIP_SCCACHE_INITIALIZATION=1 2025-08-14T21:36:46.1645652Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-08-14T21:36:46.1645858Z _=/usr/bin/env 2025-08-14T21:36:46.1646093Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-08-14T21:36:46.1904242Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch 2025-08-14T21:36:46.1904838Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/bin 2025-08-14T21:36:46.1905377Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib 2025-08-14T21:36:46.1905994Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/test 2025-08-14T21:36:46.1906300Z + BUILD_DIR=build 2025-08-14T21:36:46.1906603Z + BUILD_RENAMED_DIR=build_renamed 2025-08-14T21:36:46.1906812Z + BUILD_BIN_DIR=build/bin 2025-08-14T21:36:46.1906998Z + SHARD_NUMBER=2 2025-08-14T21:36:46.1907163Z + NUM_TEST_SHARDS=2 2025-08-14T21:36:46.1907345Z + export TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:36:46.1907578Z + TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:36:46.1907772Z + export VALGRIND=ON 2025-08-14T21:36:46.1907939Z + VALGRIND=ON 2025-08-14T21:36:46.1908388Z + [[ linux-jammy-py3.9-gcc11-build == *clang9* ]] 2025-08-14T21:36:46.1908657Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-08-14T21:36:46.1908898Z + [[ linux-jammy-py3.9-gcc11-build == *s390x* ]] 2025-08-14T21:36:46.1909122Z + [[ 0 == \1 ]] 2025-08-14T21:36:46.1909289Z + [[ True == \1 ]] 2025-08-14T21:36:46.1909478Z + [[ linux-jammy-py3.9-gcc11-build != *bazel* ]] 2025-08-14T21:36:46.1909723Z ++ realpath build/custom_test_artifacts 2025-08-14T21:36:46.1923428Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-08-14T21:36:46.1923884Z + [[ -n '' ]] 2025-08-14T21:36:46.1924229Z + echo 'Environment variables' 2025-08-14T21:36:46.1924437Z Environment variables 2025-08-14T21:36:46.1924744Z + env 2025-08-14T21:36:46.1949546Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:36:46.1949969Z CONTINUE_THROUGH_ERROR=True 2025-08-14T21:36:46.1950227Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build 2025-08-14T21:36:46.1950535Z HOSTNAME=6950ef67fae7 2025-08-14T21:36:46.1950970Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_7e8d74da-7ca3-414b-8d42-ce172dc2f06a 2025-08-14T21:36:46.1951383Z GITHUB_ACTION=__run_2 2025-08-14T21:36:46.1951588Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-08-14T21:36:46.1951803Z GITHUB_RUN_NUMBER=66307 2025-08-14T21:36:46.1952271Z TEST_CONFIG=cpu_inductor_timm 2025-08-14T21:36:46.1952505Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-08-14T21:36:46.1952934Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-08-14T21:36:46.1953168Z SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:36:46.1953616Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-08-14T21:36:46.1953847Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-08-14T21:36:46.1954066Z GITHUB_REF_TYPE=branch 2025-08-14T21:36:46.1954266Z TORCH_CUDA_ARCH_LIST=Maxwell 2025-08-14T21:36:46.1954493Z BASE_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:36:46.1954718Z XLA_CUDA= 2025-08-14T21:36:46.1954896Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-08-14T21:36:46.1955190Z HUGGING_FACE_HUB_TOKEN=*** 2025-08-14T21:36:46.1955430Z *** 2025-08-14T21:36:46.1955582Z GITHUB_REPOSITORY_ID=65600975 2025-08-14T21:36:46.1955781Z GITHUB_ACTIONS=true 2025-08-14T21:36:46.1955994Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:36:46.1956248Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:36:46.1956501Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:36:46.1956893Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-periodic.yml@refs/heads/main 2025-08-14T21:36:46.1957242Z UCC_HOME=/usr 2025-08-14T21:36:46.1957405Z TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:36:46.1957593Z VERBOSE_TEST_LOGS=False 2025-08-14T21:36:46.1957773Z GITHUB_REF=refs/heads/main 2025-08-14T21:36:46.1957945Z SHARD_NUMBER=2 2025-08-14T21:36:46.1958112Z GITHUB_REF_PROTECTED=true 2025-08-14T21:36:46.1958293Z HOME=/var/lib/jenkins 2025-08-14T21:36:46.1958484Z GITHUB_API_URL=https://api.github.com 2025-08-14T21:36:46.1958707Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-08-14T21:36:46.1958910Z UCX_COMMIT= 2025-08-14T21:36:46.1959057Z USE_SYSTEM_NCCL=1 2025-08-14T21:36:46.1959220Z NUM_TEST_SHARDS=2 2025-08-14T21:36:46.1959385Z UCX_HOME=/usr 2025-08-14T21:36:46.1959741Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_7e8d74da-7ca3-414b-8d42-ce172dc2f06a 2025-08-14T21:36:46.1960352Z JOB_NAME=linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:36:46.1960940Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_7e8d74da-7ca3-414b-8d42-ce172dc2f06a 2025-08-14T21:36:46.1961433Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-08-14T21:36:46.1961740Z GITHUB_EVENT_NAME=schedule 2025-08-14T21:36:46.1961924Z DASHBOARD_TAG= 2025-08-14T21:36:46.1962092Z GITHUB_RUN_ID=16976338999 2025-08-14T21:36:46.1962269Z INSTALLED_OPENBLAS= 2025-08-14T21:36:46.1962673Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_7e8d74da-7ca3-414b-8d42-ce172dc2f06a 2025-08-14T21:36:46.1963194Z GITHUB_ACTOR=pytorchmergebot 2025-08-14T21:36:46.1963388Z PR_NUMBER= 2025-08-14T21:36:46.1963537Z DESIRED_CUDA= 2025-08-14T21:36:46.1963703Z GITHUB_RUN_ATTEMPT=1 2025-08-14T21:36:46.1963879Z VALGRIND=ON 2025-08-14T21:36:46.1964045Z ANACONDA_PYTHON_VERSION=3.9 2025-08-14T21:36:46.1964276Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-08-14T21:36:46.1964530Z TERM=vt100 2025-08-14T21:36:46.1964690Z INSTALLED_VISION=yes 2025-08-14T21:36:46.1964854Z BRANCH=main 2025-08-14T21:36:46.1965015Z SCCACHE_REGION=us-east-1 2025-08-14T21:36:46.1965207Z OPENSSL_ROOT_DIR=/opt/openssl 2025-08-14T21:36:46.1965402Z CUDA_PATH=/usr/local/cuda 2025-08-14T21:36:46.1965729Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-08-14T21:36:46.1966093Z GITHUB_SERVER_URL=https://github.com 2025-08-14T21:36:46.1966299Z UCC_COMMIT= 2025-08-14T21:36:46.1966453Z REENABLED_ISSUES= 2025-08-14T21:36:46.1966619Z DOCS=yes 2025-08-14T21:36:46.1966771Z SHLVL=1 2025-08-14T21:36:46.1966914Z MAX_JOBS=30 2025-08-14T21:36:46.1967076Z GITHUB_ACTOR_ID=97764156 2025-08-14T21:36:46.1967318Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:36:46.1967583Z GITHUB_REF_NAME=main 2025-08-14T21:36:46.1967909Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-08-14T21:36:46.1968190Z GITHUB_JOB=test 2025-08-14T21:36:46.1968351Z NO_TEST_TIMEOUT=False 2025-08-14T21:36:46.1968527Z TD_DISTRIBUTED=False 2025-08-14T21:36:46.1968713Z GITHUB_REPOSITORY=pytorch/pytorch 2025-08-14T21:36:46.1968914Z GITHUB_RETENTION_DAYS=90 2025-08-14T21:36:46.1969099Z OPENSSL_DIR=/opt/openssl 2025-08-14T21:36:46.1969284Z GITHUB_ACTION_REPOSITORY= 2025-08-14T21:36:46.1969765Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-08-14T21:36:46.1970236Z GITHUB_BASE_REF= 2025-08-14T21:36:46.1970401Z INSTALLED_ACL= 2025-08-14T21:36:46.1970666Z ARTIFACTS_FILE_SUFFIX=test-cpu_inductor_timm-2-2-linux.8xlarge.amx_48128301912 2025-08-14T21:36:46.1970947Z CI=true 2025-08-14T21:36:46.1971109Z GITHUB_REPOSITORY_OWNER=pytorch 2025-08-14T21:36:46.1971361Z RUST_LOG=sccache::server=error 2025-08-14T21:36:46.1971548Z JOB_ID=48128301912 2025-08-14T21:36:46.1971709Z GITHUB_HEAD_REF= 2025-08-14T21:36:46.1971876Z GITHUB_ACTION_REF= 2025-08-14T21:36:46.1972074Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-08-14T21:36:46.1972310Z TEST_SHOWLOCALS=False 2025-08-14T21:36:46.1972501Z GITHUB_WORKFLOW=inductor-periodic 2025-08-14T21:36:46.1972707Z DEBIAN_FRONTEND=noninteractive 2025-08-14T21:36:46.1973100Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_7e8d74da-7ca3-414b-8d42-ce172dc2f06a 2025-08-14T21:36:46.1973491Z NO_TD=False 2025-08-14T21:36:46.1973663Z SKIP_SCCACHE_INITIALIZATION=1 2025-08-14T21:36:46.1973872Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-08-14T21:36:46.1974080Z _=/usr/bin/env 2025-08-14T21:36:46.1974243Z + echo 'Testing pytorch' 2025-08-14T21:36:46.1974417Z Testing pytorch 2025-08-14T21:36:46.1974608Z + export LANG=C.UTF-8 2025-08-14T21:36:46.1974782Z + LANG=C.UTF-8 2025-08-14T21:36:46.1974932Z + PR_NUMBER= 2025-08-14T21:36:46.1975111Z + [[ cpu_inductor_timm == \d\e\f\a\u\l\t ]] 2025-08-14T21:36:46.1975347Z + [[ cpu_inductor_timm == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-08-14T21:36:46.1975572Z + [[ cpu_inductor_timm == \s\l\o\w ]] 2025-08-14T21:36:46.1975828Z + [[ linux-jammy-py3.9-gcc11-build == *slow-gradcheck* ]] 2025-08-14T21:36:46.1976100Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-08-14T21:36:46.1976344Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-08-14T21:36:46.1976586Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-08-14T21:36:46.1976824Z + [[ cpu_inductor_timm == *crossref* ]] 2025-08-14T21:36:46.1977063Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-08-14T21:36:46.1977364Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-08-14T21:36:46.1977610Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]] 2025-08-14T21:36:46.1977849Z + pip_install ninja==1.10.2 2025-08-14T21:36:46.1978100Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-08-14T21:36:46.1978417Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-08-14T21:36:46.5900155Z Collecting ninja==1.10.2 2025-08-14T21:36:46.5989352Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-08-14T21:36:46.6180931Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-08-14T21:36:47.4338666Z Installing collected packages: ninja 2025-08-14T21:36:47.4339009Z Attempting uninstall: ninja 2025-08-14T21:36:47.4348771Z Found existing installation: ninja 1.11.1.3 2025-08-14T21:36:47.4368896Z Uninstalling ninja-1.11.1.3: 2025-08-14T21:36:47.4653779Z Successfully uninstalled ninja-1.11.1.3 2025-08-14T21:36:47.6049266Z Successfully installed ninja-1.10.2 2025-08-14T21:36:47.7011277Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-08-14T21:36:47.7013501Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-08-14T21:36:47.7014211Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]] 2025-08-14T21:36:47.7014501Z + [[ linux-jammy-py3.9-gcc11-build == *asan* ]] 2025-08-14T21:36:47.7014767Z + [[ linux-jammy-py3.9-gcc11-build == *-debug* ]] 2025-08-14T21:36:47.7015045Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]] 2025-08-14T21:36:47.7015417Z + echo 'We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass' 2025-08-14T21:36:47.7015862Z We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass 2025-08-14T21:36:47.7017258Z + cd test 2025-08-14T21:36:47.7017561Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-08-14T21:36:48.8674393Z + [[ cpu_inductor_timm == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-08-14T21:36:48.8674761Z + [[ cpu_inductor_timm == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-08-14T21:36:48.8675117Z + [[ cpu_inductor_timm == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-08-14T21:36:48.8675419Z + DYNAMO_BENCHMARK_FLAGS=() 2025-08-14T21:36:48.8675727Z + [[ cpu_inductor_timm == *pr_time_benchmarks* ]] 2025-08-14T21:36:48.8675976Z + [[ cpu_inductor_timm == *dynamo_eager* ]] 2025-08-14T21:36:48.8676212Z + [[ cpu_inductor_timm == *aot_eager* ]] 2025-08-14T21:36:48.8676445Z + [[ cpu_inductor_timm == *aot_inductor* ]] 2025-08-14T21:36:48.8676686Z + [[ cpu_inductor_timm == *max_autotune_inductor* ]] 2025-08-14T21:36:48.8676947Z + [[ cpu_inductor_timm == *inductor* ]] 2025-08-14T21:36:48.8677175Z + [[ cpu_inductor_timm != *perf* ]] 2025-08-14T21:36:48.8677435Z + DYNAMO_BENCHMARK_FLAGS+=(--inductor) 2025-08-14T21:36:48.8677675Z + [[ cpu_inductor_timm == *dynamic* ]] 2025-08-14T21:36:48.8677901Z + [[ cpu_inductor_timm == *cpu* ]] 2025-08-14T21:36:48.8678130Z + DYNAMO_BENCHMARK_FLAGS+=(--device cpu) 2025-08-14T21:36:48.9048757Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]] 2025-08-14T21:36:48.9049142Z + [[ linux-jammy-py3.9-gcc11-build == *-bazel-* ]] 2025-08-14T21:36:48.9054925Z + cd test 2025-08-14T21:36:48.9055304Z + python -c 'import torch; print(torch.__config__.show())' 2025-08-14T21:36:49.8795605Z PyTorch built with: 2025-08-14T21:36:49.8795888Z - GCC 11.4 2025-08-14T21:36:49.8796074Z - C++ Version: 201703 2025-08-14T21:36:49.8796665Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-08-14T21:36:49.8797176Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-08-14T21:36:49.8797484Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-08-14T21:36:49.8798141Z - LAPACK is enabled (usually provided by MKL) 2025-08-14T21:36:49.8798387Z - NNPACK is enabled 2025-08-14T21:36:49.8798581Z - CPU capability usage: AVX512 2025-08-14T21:36:49.8801460Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=1fc683cf17c8c673044538d10266c00f92987be2, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -faligned-new -Werror -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.9.0, USE_CUDA=OFF, USE_CUDNN=OFF, USE_CUSPARSELT=OFF, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 2025-08-14T21:36:49.8804546Z 2025-08-14T21:36:50.0880409Z + cd test 2025-08-14T21:36:50.0880757Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-08-14T21:36:51.0539316Z ATen/Parallel: 2025-08-14T21:36:51.0539709Z at::get_num_threads() : 16 2025-08-14T21:36:51.0539984Z at::get_num_interop_threads() : 16 2025-08-14T21:36:51.0540252Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-08-14T21:36:51.0540505Z omp_get_max_threads() : 16 2025-08-14T21:36:51.0540959Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-08-14T21:36:51.0541380Z mkl_get_max_threads() : 16 2025-08-14T21:36:51.0541692Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-08-14T21:36:51.0542030Z std::thread::hardware_concurrency() : 32 2025-08-14T21:36:51.0542277Z Environment variables: 2025-08-14T21:36:51.0542496Z OMP_NUM_THREADS : [not set] 2025-08-14T21:36:51.0542717Z MKL_NUM_THREADS : [not set] 2025-08-14T21:36:51.0542959Z ATen parallel backend: OpenMP 2025-08-14T21:36:51.0543102Z 2025-08-14T21:36:51.2542557Z + [[ cpu_inductor_timm == *numpy_2* ]] 2025-08-14T21:36:51.2542980Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]] 2025-08-14T21:36:51.2543252Z + [[ cpu_inductor_timm == *backward* ]] 2025-08-14T21:36:51.2543476Z + [[ cpu_inductor_timm == *xla* ]] 2025-08-14T21:36:51.2543687Z + [[ cpu_inductor_timm == *executorch* ]] 2025-08-14T21:36:51.2543954Z + [[ cpu_inductor_timm == \j\i\t\_\l\e\g\a\c\y ]] 2025-08-14T21:36:51.2544232Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]] 2025-08-14T21:36:51.2544474Z + [[ cpu_inductor_timm == distributed ]] 2025-08-14T21:36:51.2544743Z + [[ cpu_inductor_timm == *operator_benchmark* ]] 2025-08-14T21:36:51.2544987Z + [[ cpu_inductor_timm == *inductor_distributed* ]] 2025-08-14T21:36:51.2545229Z + [[ cpu_inductor_timm == *inductor-halide* ]] 2025-08-14T21:36:51.2545480Z + [[ cpu_inductor_timm == *inductor-triton-cpu* ]] 2025-08-14T21:36:51.2545760Z + [[ cpu_inductor_timm == *inductor-micro-benchmark* ]] 2025-08-14T21:36:51.2546016Z + [[ cpu_inductor_timm == *huggingface* ]] 2025-08-14T21:36:51.2546230Z + [[ cpu_inductor_timm == *timm* ]] 2025-08-14T21:36:51.2546435Z + install_torchvision 2025-08-14T21:36:51.2546614Z + local orig_preload 2025-08-14T21:36:51.2546778Z + local commit 2025-08-14T21:36:51.2546950Z ++ get_pinned_commit vision 2025-08-14T21:36:51.2547160Z ++ cat .github/ci_commit_pins/vision.txt 2025-08-14T21:36:51.2834811Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:36:51.2839382Z + orig_preload= 2025-08-14T21:36:51.2843145Z + '[' -n '' ']' 2025-08-14T21:36:51.2847283Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-08-14T21:36:51.2850413Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-08-14T21:36:51.2850992Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:36:51.2851406Z + local wheel_dir=dist/vision 2025-08-14T21:36:51.2851623Z + local found_whl=0 2025-08-14T21:36:51.2851806Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:36:51.2852130Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl ]] 2025-08-14T21:36:51.2852436Z + found_whl=1 2025-08-14T21:36:51.2852590Z + break 2025-08-14T21:36:51.2852742Z + '[' 1 == 0 ']' 2025-08-14T21:36:51.2852920Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:36:51.2853240Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:36:51.2853659Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl') 2025-08-14T21:36:51.2853954Z + local args 2025-08-14T21:36:51.2854224Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl == *\ * ]] 2025-08-14T21:36:51.2854551Z + for path in "${args[@]}" 2025-08-14T21:36:51.2854952Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl' 2025-08-14T21:36:51.2855489Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:36:51.2855979Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:36:51.5808896Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:36:51.5888641Z Installing collected packages: torchvision 2025-08-14T21:36:51.9790564Z Successfully installed torchvision-0.22.0a0+966da7e 2025-08-14T21:36:52.0209801Z + '[' -n '' ']' 2025-08-14T21:36:52.0210028Z + id=1 2025-08-14T21:36:52.0210214Z + test_dynamo_benchmark timm_models 1 2025-08-14T21:36:52.0213190Z ++ pwd 2025-08-14T21:36:52.0219560Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-08-14T21:36:52.0219936Z + local suite=timm_models 2025-08-14T21:36:52.0220134Z + shift 2025-08-14T21:36:52.0220287Z + local shard_id=1 2025-08-14T21:36:52.0220467Z + shift 2025-08-14T21:36:52.0220649Z + [[ cpu_inductor_timm == *perf_compare* ]] 2025-08-14T21:36:52.0220889Z + [[ cpu_inductor_timm == *perf* ]] 2025-08-14T21:36:52.0221112Z + [[ cpu_inductor_timm == *cpu* ]] 2025-08-14T21:36:52.0221317Z + local dt=float32 2025-08-14T21:36:52.0221499Z + [[ cpu_inductor_timm == *amp* ]] 2025-08-14T21:36:52.0221707Z + [[ cpu_inductor_timm == *freezing* ]] 2025-08-14T21:36:52.0222024Z + test_single_dynamo_benchmark inference timm_models 1 --inference --float32 2025-08-14T21:36:52.0222320Z ++ pwd 2025-08-14T21:36:52.0222534Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-08-14T21:36:52.0222850Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-08-14T21:36:52.0237736Z + local name=inference 2025-08-14T21:36:52.0238065Z + shift 2025-08-14T21:36:52.0238606Z + local suite=timm_models 2025-08-14T21:36:52.0238906Z + shift 2025-08-14T21:36:52.0239072Z + local shard_id=1 2025-08-14T21:36:52.0239241Z + shift 2025-08-14T21:36:52.0239406Z + partition_flags=() 2025-08-14T21:36:52.0239600Z + local partition_flags 2025-08-14T21:36:52.0239787Z + [[ -n 2 ]] 2025-08-14T21:36:52.0239952Z + [[ -n 1 ]] 2025-08-14T21:36:52.0240270Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-08-14T21:36:52.0240620Z + [[ cpu_inductor_timm == *perf_compare* ]] 2025-08-14T21:36:52.0240858Z + [[ cpu_inductor_timm == *perf* ]] 2025-08-14T21:36:52.0241078Z + [[ cpu_inductor_timm == *_avx2* ]] 2025-08-14T21:36:52.0241346Z + [[ cpu_inductor_timm == *_avx512* ]] 2025-08-14T21:36:52.0242135Z + python benchmarks/dynamo/timm_models.py --ci --accuracy --timing --explain --print-compilation-time --inductor --device cpu --inference --float32 --total-partitions 2 --partition-id 1 --output /var/lib/jenkins/workspace/test/test-reports/inference_timm_models.csv 2025-08-14T21:36:58.9579428Z 2025-08-14T21:36:59.1074905Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:36:59.1075139Z 2025-08-14T21:36:59.1986401Z model.safetensors: 0% 0.00/29.6M [00:00 2025-08-14T21:37:17.0499699Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0499872Z 2025-08-14T21:37:17.0499969Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0500230Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0500606Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0500956Z return mod(*inputs) 2025-08-14T21:37:17.0501296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0501741Z x = self.forward_features(x) 2025-08-14T21:37:17.0502126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0502512Z x = self.blocks(x) 2025-08-14T21:37:17.0502869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:17.0503240Z x = self.conv_pw(x) 2025-08-14T21:37:17.0503575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0503976Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0504375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0504790Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0504967Z 2025-08-14T21:37:17.0505059Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0505294Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0505542Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0505927Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0506339Z return mod(*inputs) 2025-08-14T21:37:17.0506677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0507051Z x = self.forward_features(x) 2025-08-14T21:37:17.0507439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0507824Z x = self.blocks(x) 2025-08-14T21:37:17.0508173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:17.0508551Z x = self.conv_pw(x) 2025-08-14T21:37:17.0508887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.0509246Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.0509375Z 2025-08-14T21:37:17.0509486Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0509877Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0510223Z return mod(*inputs) 2025-08-14T21:37:17.0510559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0510930Z x = self.forward_features(x) 2025-08-14T21:37:17.0511313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0511696Z x = self.blocks(x) 2025-08-14T21:37:17.0512050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:17.0512425Z x = self.bn1(x) 2025-08-14T21:37:17.0512850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:37:17.0513247Z x = self.act(x) 2025-08-14T21:37:17.0513357Z 2025-08-14T21:37:17.0513469Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0513863Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0514200Z return mod(*inputs) 2025-08-14T21:37:17.0514544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0514916Z x = self.forward_features(x) 2025-08-14T21:37:17.0515307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0515691Z x = self.blocks(x) 2025-08-14T21:37:17.0516046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.0516484Z x = self.conv_dw(x) 2025-08-14T21:37:17.0516811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0517219Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0517637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0518072Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0518245Z 2025-08-14T21:37:17.0518356Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0518740Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0519087Z return mod(*inputs) 2025-08-14T21:37:17.0519426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0519801Z x = self.forward_features(x) 2025-08-14T21:37:17.0520187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0520584Z x = self.blocks(x) 2025-08-14T21:37:17.0520930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.0521347Z x = self.conv_dw(x) 2025-08-14T21:37:17.0521688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0522087Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0522483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0522888Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0523054Z 2025-08-14T21:37:17.0523170Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0523544Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0523897Z return mod(*inputs) 2025-08-14T21:37:17.0524232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0524609Z x = self.forward_features(x) 2025-08-14T21:37:17.0524986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0525372Z x = self.blocks(x) 2025-08-14T21:37:17.0525728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.0526094Z x = self.conv_dw(x) 2025-08-14T21:37:17.0526426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0526821Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0527220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0527620Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0527796Z 2025-08-14T21:37:17.0527882Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0528121Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0528343Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0528599Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0528980Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0529327Z return mod(*inputs) 2025-08-14T21:37:17.0529662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0530038Z x = self.forward_features(x) 2025-08-14T21:37:17.0530421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0530872Z x = self.blocks(x) 2025-08-14T21:37:17.0531232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.0531613Z x = self.conv_dw(x) 2025-08-14T21:37:17.0531952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.0532310Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.0532439Z 2025-08-14T21:37:17.0532550Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0532935Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0533287Z return mod(*inputs) 2025-08-14T21:37:17.0533920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0534292Z x = self.forward_features(x) 2025-08-14T21:37:17.0534680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0535068Z x = self.blocks(x) 2025-08-14T21:37:17.0535424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:37:17.0535811Z x = self.bn2(x) 2025-08-14T21:37:17.0536195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:37:17.0536538Z x = self.act(x) 2025-08-14T21:37:17.0536644Z 2025-08-14T21:37:17.0536756Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0537146Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0537484Z return mod(*inputs) 2025-08-14T21:37:17.0537828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0538201Z x = self.forward_features(x) 2025-08-14T21:37:17.0538584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0538964Z x = self.blocks(x) 2025-08-14T21:37:17.0539316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.0539701Z x = self.conv_pwl(x) 2025-08-14T21:37:17.0540045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0540448Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0540857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0541263Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0541430Z 2025-08-14T21:37:17.0541541Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0541919Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0542268Z return mod(*inputs) 2025-08-14T21:37:17.0542599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0542970Z x = self.forward_features(x) 2025-08-14T21:37:17.0543352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0543737Z x = self.blocks(x) 2025-08-14T21:37:17.0544084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.0544464Z x = self.conv_pwl(x) 2025-08-14T21:37:17.0544809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0545200Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0545602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0546896Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0547064Z 2025-08-14T21:37:17.0547162Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0547391Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0547654Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0548050Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0548428Z return mod(*inputs) 2025-08-14T21:37:17.0548825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0549224Z x = self.forward_features(x) 2025-08-14T21:37:17.0549608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0550036Z x = self.blocks(x) 2025-08-14T21:37:17.0550401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.0550788Z x = self.conv_pwl(x) 2025-08-14T21:37:17.0551119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.0551495Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.0551714Z 2025-08-14T21:37:17.0551831Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0552222Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0552591Z return mod(*inputs) 2025-08-14T21:37:17.0553099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0553493Z x = self.forward_features(x) 2025-08-14T21:37:17.0553869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0554259Z x = self.blocks(x) 2025-08-14T21:37:17.0554623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-14T21:37:17.0555005Z x = self.bn3(x) 2025-08-14T21:37:17.0555319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:17.0555675Z x = F.batch_norm( 2025-08-14T21:37:17.0555780Z 2025-08-14T21:37:17.0555899Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0556297Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0556639Z return mod(*inputs) 2025-08-14T21:37:17.0556976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0557344Z x = self.forward_features(x) 2025-08-14T21:37:17.0557712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0558123Z x = self.blocks(x) 2025-08-14T21:37:17.0558518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:17.0558884Z x = self.conv_pw(x) 2025-08-14T21:37:17.0559208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0559612Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0560023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0560408Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0560581Z 2025-08-14T21:37:17.0560692Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0561067Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0561402Z return mod(*inputs) 2025-08-14T21:37:17.0561783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0562139Z x = self.forward_features(x) 2025-08-14T21:37:17.0562508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0562935Z x = self.blocks(x) 2025-08-14T21:37:17.0563276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:17.0563650Z x = self.conv_pw(x) 2025-08-14T21:37:17.0563978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0564382Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0564798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0565207Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0565372Z 2025-08-14T21:37:17.0565465Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0565681Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0565926Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0566333Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0566663Z return mod(*inputs) 2025-08-14T21:37:17.0566992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0567368Z x = self.forward_features(x) 2025-08-14T21:37:17.0567730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0568103Z x = self.blocks(x) 2025-08-14T21:37:17.0568447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:17.0568811Z x = self.conv_pw(x) 2025-08-14T21:37:17.0569125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.0569481Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.0569603Z 2025-08-14T21:37:17.0569722Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0570094Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0570426Z return mod(*inputs) 2025-08-14T21:37:17.0570765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0571133Z x = self.forward_features(x) 2025-08-14T21:37:17.0571507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0571888Z x = self.blocks(x) 2025-08-14T21:37:17.0572238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:17.0572607Z x = self.bn1(x) 2025-08-14T21:37:17.0572922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:37:17.0573275Z x = self.act(x) 2025-08-14T21:37:17.0573369Z 2025-08-14T21:37:17.0573485Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0573848Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0574180Z return mod(*inputs) 2025-08-14T21:37:17.0574516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0574865Z x = self.forward_features(x) 2025-08-14T21:37:17.0575250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0575634Z x = self.blocks(x) 2025-08-14T21:37:17.0575983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.0576401Z x = self.conv_dw(x) 2025-08-14T21:37:17.0576521Z 2025-08-14T21:37:17.0576632Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0577018Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0577364Z return mod(*inputs) 2025-08-14T21:37:17.0577692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0578060Z x = self.forward_features(x) 2025-08-14T21:37:17.0578439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0578816Z x = self.blocks(x) 2025-08-14T21:37:17.0579166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:37:17.0579543Z x = self.bn2(x) 2025-08-14T21:37:17.0579876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:37:17.0580212Z x = self.act(x) 2025-08-14T21:37:17.0580319Z 2025-08-14T21:37:17.0580428Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0580861Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0581201Z return mod(*inputs) 2025-08-14T21:37:17.0581541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0581913Z x = self.forward_features(x) 2025-08-14T21:37:17.0582294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0582674Z x = self.blocks(x) 2025-08-14T21:37:17.0583027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.0583411Z x = self.conv_pwl(x) 2025-08-14T21:37:17.0583748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0584151Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0584563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0584978Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0585146Z 2025-08-14T21:37:17.0585258Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0585642Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0585984Z return mod(*inputs) 2025-08-14T21:37:17.0586314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0586683Z x = self.forward_features(x) 2025-08-14T21:37:17.0587067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0587452Z x = self.blocks(x) 2025-08-14T21:37:17.0587797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.0588176Z x = self.conv_pwl(x) 2025-08-14T21:37:17.0588517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0588920Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0589332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0589739Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0589907Z 2025-08-14T21:37:17.0590000Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0590225Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0590523Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0590906Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0591258Z return mod(*inputs) 2025-08-14T21:37:17.0591597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0591972Z x = self.forward_features(x) 2025-08-14T21:37:17.0592354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0592834Z x = self.blocks(x) 2025-08-14T21:37:17.0593204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.0593589Z x = self.conv_pwl(x) 2025-08-14T21:37:17.0593934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.0594295Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.0594424Z 2025-08-14T21:37:17.0594535Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0594922Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0595262Z return mod(*inputs) 2025-08-14T21:37:17.0595641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0596016Z x = self.forward_features(x) 2025-08-14T21:37:17.0596395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0596936Z x = self.blocks(x) 2025-08-14T21:37:17.0597295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:37:17.0597685Z x = self.drop_path(x) + shortcut 2025-08-14T21:37:17.0597823Z 2025-08-14T21:37:17.0597944Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0598346Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0598685Z return mod(*inputs) 2025-08-14T21:37:17.0599018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0599370Z x = self.forward_features(x) 2025-08-14T21:37:17.0599738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0600113Z x = self.blocks(x) 2025-08-14T21:37:17.0600459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:17.0600833Z x = self.conv_pw(x) 2025-08-14T21:37:17.0600947Z 2025-08-14T21:37:17.0601057Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0601447Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0601787Z return mod(*inputs) 2025-08-14T21:37:17.0602122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0602491Z x = self.forward_features(x) 2025-08-14T21:37:17.0602867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0603252Z x = self.blocks(x) 2025-08-14T21:37:17.0603605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:17.0603967Z x = self.bn1(x) 2025-08-14T21:37:17.0604268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:17.0604615Z x = F.batch_norm( 2025-08-14T21:37:17.0604718Z 2025-08-14T21:37:17.0604832Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0605307Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0605665Z return mod(*inputs) 2025-08-14T21:37:17.0606003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0606371Z x = self.forward_features(x) 2025-08-14T21:37:17.0606747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0607135Z x = self.blocks(x) 2025-08-14T21:37:17.0607492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:17.0607981Z x = self.bn1(x) 2025-08-14T21:37:17.0608314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:37:17.0608671Z x = self.act(x) 2025-08-14T21:37:17.0608771Z 2025-08-14T21:37:17.0608866Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0609124Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0609518Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0609867Z return mod(*inputs) 2025-08-14T21:37:17.0610266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0610642Z x = self.forward_features(x) 2025-08-14T21:37:17.0611022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0611409Z x = self.blocks(x) 2025-08-14T21:37:17.0611754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.0612133Z x = self.conv_dw(x) 2025-08-14T21:37:17.0612465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0612860Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0613278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0613686Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0613853Z 2025-08-14T21:37:17.0613951Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0614201Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0614581Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0614933Z return mod(*inputs) 2025-08-14T21:37:17.0615263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0615632Z x = self.forward_features(x) 2025-08-14T21:37:17.0616011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0616398Z x = self.blocks(x) 2025-08-14T21:37:17.0616741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.0617126Z x = self.conv_dw(x) 2025-08-14T21:37:17.0617458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0617848Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0618255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0618656Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0618822Z 2025-08-14T21:37:17.0618915Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0619163Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0619542Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0619927Z return mod(*inputs) 2025-08-14T21:37:17.0620265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0620638Z x = self.forward_features(x) 2025-08-14T21:37:17.0621022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0621411Z x = self.blocks(x) 2025-08-14T21:37:17.0621753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.0622139Z x = self.conv_dw(x) 2025-08-14T21:37:17.0622474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0622881Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0623278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0623693Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0623859Z 2025-08-14T21:37:17.0623955Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0624203Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0624662Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0625015Z return mod(*inputs) 2025-08-14T21:37:17.0625356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0625730Z x = self.forward_features(x) 2025-08-14T21:37:17.0626113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0626518Z x = self.blocks(x) 2025-08-14T21:37:17.0626862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.0627252Z x = self.conv_dw(x) 2025-08-14T21:37:17.0627588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0627987Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0628389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0628797Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0628965Z 2025-08-14T21:37:17.0629057Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0629280Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0629506Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0629729Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0629980Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0630359Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0630711Z return mod(*inputs) 2025-08-14T21:37:17.0631051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0631422Z x = self.forward_features(x) 2025-08-14T21:37:17.0631811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0632206Z x = self.blocks(x) 2025-08-14T21:37:17.0632559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.0633012Z x = self.conv_dw(x) 2025-08-14T21:37:17.0633349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.0633721Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.0633842Z 2025-08-14T21:37:17.0633953Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0634344Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0634748Z return mod(*inputs) 2025-08-14T21:37:17.0635092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0635457Z x = self.forward_features(x) 2025-08-14T21:37:17.0635850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0636252Z x = self.blocks(x) 2025-08-14T21:37:17.0636600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:37:17.0636981Z x = self.bn2(x) 2025-08-14T21:37:17.0637299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:17.0637660Z x = F.batch_norm( 2025-08-14T21:37:17.0637766Z 2025-08-14T21:37:17.0637875Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0638282Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0638645Z return mod(*inputs) 2025-08-14T21:37:17.0638988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0639370Z x = self.forward_features(x) 2025-08-14T21:37:17.0639809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0640202Z x = self.blocks(x) 2025-08-14T21:37:17.0640553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:37:17.0640935Z x = self.bn2(x) 2025-08-14T21:37:17.0641254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:37:17.0641590Z x = self.act(x) 2025-08-14T21:37:17.0641697Z 2025-08-14T21:37:17.0641808Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0642207Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0642577Z return mod(*inputs) 2025-08-14T21:37:17.0642910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0643290Z x = self.forward_features(x) 2025-08-14T21:37:17.0643676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0644054Z x = self.blocks(x) 2025-08-14T21:37:17.0644409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0644790Z x = self.se(x) 2025-08-14T21:37:17.0645140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:37:17.0645522Z x_se = self.conv_reduce(x_se) 2025-08-14T21:37:17.0645670Z 2025-08-14T21:37:17.0645778Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0646166Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0646510Z return mod(*inputs) 2025-08-14T21:37:17.0646859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0647229Z x = self.forward_features(x) 2025-08-14T21:37:17.0647611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0648002Z x = self.blocks(x) 2025-08-14T21:37:17.0648356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0648732Z x = self.se(x) 2025-08-14T21:37:17.0649069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:37:17.0649488Z x_se = self.act1(x_se) 2025-08-14T21:37:17.0649614Z 2025-08-14T21:37:17.0649724Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0650106Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0650444Z return mod(*inputs) 2025-08-14T21:37:17.0650787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0651160Z x = self.forward_features(x) 2025-08-14T21:37:17.0651532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0651913Z x = self.blocks(x) 2025-08-14T21:37:17.0652263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0652635Z x = self.se(x) 2025-08-14T21:37:17.0652973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:37:17.0653363Z x_se = self.conv_expand(x_se) 2025-08-14T21:37:17.0653496Z 2025-08-14T21:37:17.0653614Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0654003Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0654379Z return mod(*inputs) 2025-08-14T21:37:17.0654724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0655092Z x = self.forward_features(x) 2025-08-14T21:37:17.0655464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0655851Z x = self.blocks(x) 2025-08-14T21:37:17.0656201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0656574Z x = self.se(x) 2025-08-14T21:37:17.0656915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:17.0657294Z return x * self.gate(x_se) 2025-08-14T21:37:17.0657419Z 2025-08-14T21:37:17.0657537Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0657913Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0658256Z return mod(*inputs) 2025-08-14T21:37:17.0658592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0658959Z x = self.forward_features(x) 2025-08-14T21:37:17.0659337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0659720Z x = self.blocks(x) 2025-08-14T21:37:17.0660066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0660434Z x = self.se(x) 2025-08-14T21:37:17.0660774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:17.0661157Z return x * self.gate(x_se) 2025-08-14T21:37:17.0661281Z 2025-08-14T21:37:17.0661401Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0661774Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0662117Z return mod(*inputs) 2025-08-14T21:37:17.0662457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0662818Z x = self.forward_features(x) 2025-08-14T21:37:17.0663195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0663577Z x = self.blocks(x) 2025-08-14T21:37:17.0663926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.0664340Z x = self.conv_pwl(x) 2025-08-14T21:37:17.0664462Z 2025-08-14T21:37:17.0664574Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0664958Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0665295Z return mod(*inputs) 2025-08-14T21:37:17.0665636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0666013Z x = self.forward_features(x) 2025-08-14T21:37:17.0666391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0666775Z x = self.blocks(x) 2025-08-14T21:37:17.0667123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-14T21:37:17.0667497Z x = self.bn3(x) 2025-08-14T21:37:17.0667819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:17.0668157Z x = F.batch_norm( 2025-08-14T21:37:17.0668264Z 2025-08-14T21:37:17.0668372Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0668791Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0669136Z return mod(*inputs) 2025-08-14T21:37:17.0669477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0669862Z x = self.forward_features(x) 2025-08-14T21:37:17.0670238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0670639Z x = self.blocks(x) 2025-08-14T21:37:17.0671004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:17.0671378Z x = self.conv_pw(x) 2025-08-14T21:37:17.0671706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0672118Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0672539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0673034Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0673218Z 2025-08-14T21:37:17.0673329Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0673721Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0674072Z return mod(*inputs) 2025-08-14T21:37:17.0674411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0674780Z x = self.forward_features(x) 2025-08-14T21:37:17.0675166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0675552Z x = self.blocks(x) 2025-08-14T21:37:17.0675892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:17.0676269Z x = self.conv_pw(x) 2025-08-14T21:37:17.0676600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0676988Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0677386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0677792Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0677955Z 2025-08-14T21:37:17.0678047Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0678266Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0678563Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0678938Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0679267Z return mod(*inputs) 2025-08-14T21:37:17.0679603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0679967Z x = self.forward_features(x) 2025-08-14T21:37:17.0680338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0680712Z x = self.blocks(x) 2025-08-14T21:37:17.0681057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:17.0681424Z x = self.conv_pw(x) 2025-08-14T21:37:17.0681744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.0682101Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.0682217Z 2025-08-14T21:37:17.0682333Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0682707Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0683035Z return mod(*inputs) 2025-08-14T21:37:17.0683393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0683756Z x = self.forward_features(x) 2025-08-14T21:37:17.0684118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0684496Z x = self.blocks(x) 2025-08-14T21:37:17.0684840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:17.0685207Z x = self.bn1(x) 2025-08-14T21:37:17.0685513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:17.0685863Z x = F.batch_norm( 2025-08-14T21:37:17.0685969Z 2025-08-14T21:37:17.0686086Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0686470Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0686809Z return mod(*inputs) 2025-08-14T21:37:17.0687141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0687516Z x = self.forward_features(x) 2025-08-14T21:37:17.0687881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0688254Z x = self.blocks(x) 2025-08-14T21:37:17.0688599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:17.0688957Z x = self.bn1(x) 2025-08-14T21:37:17.0689271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:37:17.0689611Z x = self.act(x) 2025-08-14T21:37:17.0689709Z 2025-08-14T21:37:17.0689801Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0690044Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0690418Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0690750Z return mod(*inputs) 2025-08-14T21:37:17.0691081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0691449Z x = self.forward_features(x) 2025-08-14T21:37:17.0691819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0692193Z x = self.blocks(x) 2025-08-14T21:37:17.0692531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.0692947Z x = self.conv_dw(x) 2025-08-14T21:37:17.0693269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0693660Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0694067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0694480Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0694650Z 2025-08-14T21:37:17.0694743Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0694991Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0695381Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0695733Z return mod(*inputs) 2025-08-14T21:37:17.0696064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0696632Z x = self.forward_features(x) 2025-08-14T21:37:17.0697021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0697420Z x = self.blocks(x) 2025-08-14T21:37:17.0697829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.0698206Z x = self.conv_dw(x) 2025-08-14T21:37:17.0698529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0698915Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0699310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0699706Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0699870Z 2025-08-14T21:37:17.0699961Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0700184Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0700435Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0700812Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0701141Z return mod(*inputs) 2025-08-14T21:37:17.0701475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0701833Z x = self.forward_features(x) 2025-08-14T21:37:17.0702201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0702588Z x = self.blocks(x) 2025-08-14T21:37:17.0702932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.0703308Z x = self.conv_dw(x) 2025-08-14T21:37:17.0703626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.0703980Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.0704105Z 2025-08-14T21:37:17.0704187Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0704434Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0704806Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0705142Z return mod(*inputs) 2025-08-14T21:37:17.0705478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0705851Z x = self.forward_features(x) 2025-08-14T21:37:17.0706234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0706622Z x = self.blocks(x) 2025-08-14T21:37:17.0706975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0707405Z x = self.se(x) 2025-08-14T21:37:17.0707739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:37:17.0708136Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:37:17.0708277Z 2025-08-14T21:37:17.0708391Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0708776Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0709140Z return mod(*inputs) 2025-08-14T21:37:17.0709479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0709840Z x = self.forward_features(x) 2025-08-14T21:37:17.0710221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0710616Z x = self.blocks(x) 2025-08-14T21:37:17.0710960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0711339Z x = self.se(x) 2025-08-14T21:37:17.0711680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:37:17.0712064Z x_se = self.conv_reduce(x_se) 2025-08-14T21:37:17.0712232Z 2025-08-14T21:37:17.0712344Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0712786Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0713147Z return mod(*inputs) 2025-08-14T21:37:17.0713479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0713852Z x = self.forward_features(x) 2025-08-14T21:37:17.0714237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0714624Z x = self.blocks(x) 2025-08-14T21:37:17.0714974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0715355Z x = self.se(x) 2025-08-14T21:37:17.0715698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:37:17.0716078Z x_se = self.act1(x_se) 2025-08-14T21:37:17.0716204Z 2025-08-14T21:37:17.0716317Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0716706Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0717054Z return mod(*inputs) 2025-08-14T21:37:17.0717389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0717760Z x = self.forward_features(x) 2025-08-14T21:37:17.0718142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0718522Z x = self.blocks(x) 2025-08-14T21:37:17.0718873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0719251Z x = self.se(x) 2025-08-14T21:37:17.0719602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:37:17.0719984Z x_se = self.conv_expand(x_se) 2025-08-14T21:37:17.0720124Z 2025-08-14T21:37:17.0720233Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0720622Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0720968Z return mod(*inputs) 2025-08-14T21:37:17.0721303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0721676Z x = self.forward_features(x) 2025-08-14T21:37:17.0722059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0722487Z x = self.blocks(x) 2025-08-14T21:37:17.0722841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0723217Z x = self.se(x) 2025-08-14T21:37:17.0723560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:17.0723938Z return x * self.gate(x_se) 2025-08-14T21:37:17.0724069Z 2025-08-14T21:37:17.0724179Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0724561Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0724899Z return mod(*inputs) 2025-08-14T21:37:17.0725239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0725604Z x = self.forward_features(x) 2025-08-14T21:37:17.0725987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0726375Z x = self.blocks(x) 2025-08-14T21:37:17.0726727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0727133Z x = self.se(x) 2025-08-14T21:37:17.0727472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:17.0727854Z return x * self.gate(x_se) 2025-08-14T21:37:17.0727978Z 2025-08-14T21:37:17.0728070Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0728327Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0728710Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0729043Z return mod(*inputs) 2025-08-14T21:37:17.0729383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0729750Z x = self.forward_features(x) 2025-08-14T21:37:17.0730136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0730530Z x = self.blocks(x) 2025-08-14T21:37:17.0730872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.0731243Z x = self.conv_pwl(x) 2025-08-14T21:37:17.0731587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0731991Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0732392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0732804Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0732982Z 2025-08-14T21:37:17.0733068Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0733322Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0733699Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0734046Z return mod(*inputs) 2025-08-14T21:37:17.0734390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0734763Z x = self.forward_features(x) 2025-08-14T21:37:17.0735158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0735554Z x = self.blocks(x) 2025-08-14T21:37:17.0735908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.0736291Z x = self.conv_pwl(x) 2025-08-14T21:37:17.0736643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0737105Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0737512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0737925Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0738096Z 2025-08-14T21:37:17.0738181Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0738411Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0738660Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0739047Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0739392Z return mod(*inputs) 2025-08-14T21:37:17.0739729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0740112Z x = self.forward_features(x) 2025-08-14T21:37:17.0740502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0740889Z x = self.blocks(x) 2025-08-14T21:37:17.0741228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.0741643Z x = self.conv_pwl(x) 2025-08-14T21:37:17.0742045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.0742425Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.0742551Z 2025-08-14T21:37:17.0742658Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0743042Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0743376Z return mod(*inputs) 2025-08-14T21:37:17.0743696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0744058Z x = self.forward_features(x) 2025-08-14T21:37:17.0744430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0744803Z x = self.blocks(x) 2025-08-14T21:37:17.0745146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:37:17.0745522Z x = self.drop_path(x) + shortcut 2025-08-14T21:37:17.0745656Z 2025-08-14T21:37:17.0745772Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0746137Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0746469Z return mod(*inputs) 2025-08-14T21:37:17.0746796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0747161Z x = self.forward_features(x) 2025-08-14T21:37:17.0747529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0747904Z x = self.blocks(x) 2025-08-14T21:37:17.0748239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:17.0748598Z x = self.conv_pw(x) 2025-08-14T21:37:17.0748923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0749310Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0749700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0750090Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0750261Z 2025-08-14T21:37:17.0750368Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0750733Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0751147Z return mod(*inputs) 2025-08-14T21:37:17.0751476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0751845Z x = self.forward_features(x) 2025-08-14T21:37:17.0752218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0752585Z x = self.blocks(x) 2025-08-14T21:37:17.0753009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:17.0753395Z x = self.conv_pw(x) 2025-08-14T21:37:17.0753716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0754117Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0754541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0754948Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0755114Z 2025-08-14T21:37:17.0755200Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0755430Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0755718Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0756093Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0756434Z return mod(*inputs) 2025-08-14T21:37:17.0756766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0757130Z x = self.forward_features(x) 2025-08-14T21:37:17.0757500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0757874Z x = self.blocks(x) 2025-08-14T21:37:17.0758228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:17.0758595Z x = self.conv_pw(x) 2025-08-14T21:37:17.0758921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.0759271Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.0759386Z 2025-08-14T21:37:17.0759503Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0759871Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0760209Z return mod(*inputs) 2025-08-14T21:37:17.0760538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0760887Z x = self.forward_features(x) 2025-08-14T21:37:17.0761258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0761629Z x = self.blocks(x) 2025-08-14T21:37:17.0761978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:17.0762339Z x = self.bn1(x) 2025-08-14T21:37:17.0762650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:17.0762991Z x = F.batch_norm( 2025-08-14T21:37:17.0763095Z 2025-08-14T21:37:17.0763200Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0763576Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0763912Z return mod(*inputs) 2025-08-14T21:37:17.0764240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0764591Z x = self.forward_features(x) 2025-08-14T21:37:17.0764965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0765398Z x = self.blocks(x) 2025-08-14T21:37:17.0765745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:17.0766129Z x = self.bn1(x) 2025-08-14T21:37:17.0766440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:37:17.0766772Z x = self.act(x) 2025-08-14T21:37:17.0766868Z 2025-08-14T21:37:17.0766952Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0767201Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0767573Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0767902Z return mod(*inputs) 2025-08-14T21:37:17.0768240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0768608Z x = self.forward_features(x) 2025-08-14T21:37:17.0768994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0769382Z x = self.blocks(x) 2025-08-14T21:37:17.0769731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.0770155Z x = self.conv_dw(x) 2025-08-14T21:37:17.0770489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0770897Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0771307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0771716Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0771886Z 2025-08-14T21:37:17.0771973Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0772232Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0772622Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0772964Z return mod(*inputs) 2025-08-14T21:37:17.0773306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0773688Z x = self.forward_features(x) 2025-08-14T21:37:17.0774077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0774455Z x = self.blocks(x) 2025-08-14T21:37:17.0774809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.0775194Z x = self.conv_dw(x) 2025-08-14T21:37:17.0775519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0775924Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0776336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0776744Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0776913Z 2025-08-14T21:37:17.0776998Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0777232Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0777488Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0777858Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0778206Z return mod(*inputs) 2025-08-14T21:37:17.0778560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0778975Z x = self.forward_features(x) 2025-08-14T21:37:17.0779403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0779848Z x = self.blocks(x) 2025-08-14T21:37:17.0780198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.0780576Z x = self.conv_dw(x) 2025-08-14T21:37:17.0780912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.0781281Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.0781402Z 2025-08-14T21:37:17.0781492Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0781738Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0782130Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0782492Z return mod(*inputs) 2025-08-14T21:37:17.0782809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0783220Z x = self.forward_features(x) 2025-08-14T21:37:17.0783595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0783971Z x = self.blocks(x) 2025-08-14T21:37:17.0784306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0784682Z x = self.se(x) 2025-08-14T21:37:17.0785064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:37:17.0785446Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:37:17.0785590Z 2025-08-14T21:37:17.0785701Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0786092Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0786429Z return mod(*inputs) 2025-08-14T21:37:17.0786755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0787118Z x = self.forward_features(x) 2025-08-14T21:37:17.0787492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0787876Z x = self.blocks(x) 2025-08-14T21:37:17.0788213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0788575Z x = self.se(x) 2025-08-14T21:37:17.0788913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:37:17.0789292Z x_se = self.conv_reduce(x_se) 2025-08-14T21:37:17.0789431Z 2025-08-14T21:37:17.0789542Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0789926Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0790291Z return mod(*inputs) 2025-08-14T21:37:17.0790613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0790975Z x = self.forward_features(x) 2025-08-14T21:37:17.0791342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0791720Z x = self.blocks(x) 2025-08-14T21:37:17.0792064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0792428Z x = self.se(x) 2025-08-14T21:37:17.0792840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:37:17.0793217Z x_se = self.act1(x_se) 2025-08-14T21:37:17.0793347Z 2025-08-14T21:37:17.0793456Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0793852Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0794177Z return mod(*inputs) 2025-08-14T21:37:17.0794578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0794952Z x = self.forward_features(x) 2025-08-14T21:37:17.0795328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0795701Z x = self.blocks(x) 2025-08-14T21:37:17.0796052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0796602Z x = self.se(x) 2025-08-14T21:37:17.0796942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:37:17.0797318Z x_se = self.conv_expand(x_se) 2025-08-14T21:37:17.0797448Z 2025-08-14T21:37:17.0797564Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0797946Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0798281Z return mod(*inputs) 2025-08-14T21:37:17.0798616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0798984Z x = self.forward_features(x) 2025-08-14T21:37:17.0799435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0799817Z x = self.blocks(x) 2025-08-14T21:37:17.0800159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0800522Z x = self.se(x) 2025-08-14T21:37:17.0800847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:17.0801221Z return x * self.gate(x_se) 2025-08-14T21:37:17.0801343Z 2025-08-14T21:37:17.0801456Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0801824Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0802164Z return mod(*inputs) 2025-08-14T21:37:17.0802492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0802854Z x = self.forward_features(x) 2025-08-14T21:37:17.0803216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0803593Z x = self.blocks(x) 2025-08-14T21:37:17.0803938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0804296Z x = self.se(x) 2025-08-14T21:37:17.0804630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:17.0805003Z return x * self.gate(x_se) 2025-08-14T21:37:17.0805122Z 2025-08-14T21:37:17.0805214Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0805459Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0805832Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0806167Z return mod(*inputs) 2025-08-14T21:37:17.0806496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0806855Z x = self.forward_features(x) 2025-08-14T21:37:17.0807227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0807611Z x = self.blocks(x) 2025-08-14T21:37:17.0807943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.0808317Z x = self.conv_pwl(x) 2025-08-14T21:37:17.0808646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0809100Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0809511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0809914Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0810082Z 2025-08-14T21:37:17.0810178Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0810425Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0810808Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0811153Z return mod(*inputs) 2025-08-14T21:37:17.0811483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0811868Z x = self.forward_features(x) 2025-08-14T21:37:17.0812245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0812627Z x = self.blocks(x) 2025-08-14T21:37:17.0812968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.0813343Z x = self.conv_pwl(x) 2025-08-14T21:37:17.0813712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0814093Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0814483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0814877Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0815040Z 2025-08-14T21:37:17.0815129Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0815346Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0815600Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0815990Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0816322Z return mod(*inputs) 2025-08-14T21:37:17.0816648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0817018Z x = self.forward_features(x) 2025-08-14T21:37:17.0817387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0817753Z x = self.blocks(x) 2025-08-14T21:37:17.0818094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.0818477Z x = self.conv_pwl(x) 2025-08-14T21:37:17.0818804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.0819166Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.0819291Z 2025-08-14T21:37:17.0819399Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0819777Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0820125Z return mod(*inputs) 2025-08-14T21:37:17.0820464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0820848Z x = self.forward_features(x) 2025-08-14T21:37:17.0821233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0821628Z x = self.blocks(x) 2025-08-14T21:37:17.0821982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:37:17.0822358Z x = self.drop_path(x) + shortcut 2025-08-14T21:37:17.0822490Z 2025-08-14T21:37:17.0822596Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0822971Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0823365Z return mod(*inputs) 2025-08-14T21:37:17.0823694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0824053Z x = self.forward_features(x) 2025-08-14T21:37:17.0824433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0824817Z x = self.blocks(x) 2025-08-14T21:37:17.0825150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:17.0825515Z x = self.conv_pw(x) 2025-08-14T21:37:17.0825848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0826245Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0826634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0827040Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0827206Z 2025-08-14T21:37:17.0827324Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0827690Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0828068Z return mod(*inputs) 2025-08-14T21:37:17.0828404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0828826Z x = self.forward_features(x) 2025-08-14T21:37:17.0829198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0829582Z x = self.blocks(x) 2025-08-14T21:37:17.0829933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:17.0830302Z x = self.conv_pw(x) 2025-08-14T21:37:17.0830639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0831043Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0831446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0831846Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0832021Z 2025-08-14T21:37:17.0832105Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0832335Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0832578Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0833057Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0833428Z return mod(*inputs) 2025-08-14T21:37:17.0833773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0834145Z x = self.forward_features(x) 2025-08-14T21:37:17.0834544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0834920Z x = self.blocks(x) 2025-08-14T21:37:17.0835262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:17.0835633Z x = self.conv_pw(x) 2025-08-14T21:37:17.0835960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.0836312Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.0836432Z 2025-08-14T21:37:17.0836543Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0836931Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0837283Z return mod(*inputs) 2025-08-14T21:37:17.0837602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0838010Z x = self.forward_features(x) 2025-08-14T21:37:17.0838394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0838804Z x = self.blocks(x) 2025-08-14T21:37:17.0839145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:17.0839511Z x = self.bn1(x) 2025-08-14T21:37:17.0839724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:17.0839800Z x = F.batch_norm( 2025-08-14T21:37:17.0839804Z 2025-08-14T21:37:17.0839913Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0840123Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0840190Z return mod(*inputs) 2025-08-14T21:37:17.0840417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0840502Z x = self.forward_features(x) 2025-08-14T21:37:17.0840745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0840811Z x = self.blocks(x) 2025-08-14T21:37:17.0841083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:17.0841150Z x = self.bn1(x) 2025-08-14T21:37:17.0841370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:37:17.0841434Z x = self.act(x) 2025-08-14T21:37:17.0841438Z 2025-08-14T21:37:17.0841523Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0841637Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0841844Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0841916Z return mod(*inputs) 2025-08-14T21:37:17.0842149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0842222Z x = self.forward_features(x) 2025-08-14T21:37:17.0842475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0842542Z x = self.blocks(x) 2025-08-14T21:37:17.0842776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.0842852Z x = self.conv_dw(x) 2025-08-14T21:37:17.0843069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0843186Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0843414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0843525Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0843528Z 2025-08-14T21:37:17.0843619Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0843725Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0843934Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0844011Z return mod(*inputs) 2025-08-14T21:37:17.0844229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0844309Z x = self.forward_features(x) 2025-08-14T21:37:17.0844551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0844616Z x = self.blocks(x) 2025-08-14T21:37:17.0844857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.0844996Z x = self.conv_dw(x) 2025-08-14T21:37:17.0845210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0845324Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0845551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0845661Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0845665Z 2025-08-14T21:37:17.0845745Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0845827Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0845938Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0846142Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0846211Z return mod(*inputs) 2025-08-14T21:37:17.0846438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0846513Z x = self.forward_features(x) 2025-08-14T21:37:17.0846760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0846827Z x = self.blocks(x) 2025-08-14T21:37:17.0847108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.0847184Z x = self.conv_dw(x) 2025-08-14T21:37:17.0847402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.0847474Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.0847485Z 2025-08-14T21:37:17.0847566Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0847671Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0847883Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0847954Z return mod(*inputs) 2025-08-14T21:37:17.0848173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0848253Z x = self.forward_features(x) 2025-08-14T21:37:17.0848504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0848571Z x = self.blocks(x) 2025-08-14T21:37:17.0848820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0848886Z x = self.se(x) 2025-08-14T21:37:17.0849132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:37:17.0849213Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:37:17.0849217Z 2025-08-14T21:37:17.0849325Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0849544Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0849617Z return mod(*inputs) 2025-08-14T21:37:17.0849852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0849928Z x = self.forward_features(x) 2025-08-14T21:37:17.0850179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0850256Z x = self.blocks(x) 2025-08-14T21:37:17.0850502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0850566Z x = self.se(x) 2025-08-14T21:37:17.0850808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:37:17.0850885Z x_se = self.conv_reduce(x_se) 2025-08-14T21:37:17.0850889Z 2025-08-14T21:37:17.0851005Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0851257Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0851327Z return mod(*inputs) 2025-08-14T21:37:17.0851559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0851636Z x = self.forward_features(x) 2025-08-14T21:37:17.0851885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0851961Z x = self.blocks(x) 2025-08-14T21:37:17.0852204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0852276Z x = self.se(x) 2025-08-14T21:37:17.0852513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:37:17.0852587Z x_se = self.act1(x_se) 2025-08-14T21:37:17.0852594Z 2025-08-14T21:37:17.0852710Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0852924Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0852994Z return mod(*inputs) 2025-08-14T21:37:17.0853269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0853346Z x = self.forward_features(x) 2025-08-14T21:37:17.0853600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0853668Z x = self.blocks(x) 2025-08-14T21:37:17.0853909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0853981Z x = self.se(x) 2025-08-14T21:37:17.0854221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:37:17.0854301Z x_se = self.conv_expand(x_se) 2025-08-14T21:37:17.0854312Z 2025-08-14T21:37:17.0854419Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0854630Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0854707Z return mod(*inputs) 2025-08-14T21:37:17.0854933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0855006Z x = self.forward_features(x) 2025-08-14T21:37:17.0855262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0855330Z x = self.blocks(x) 2025-08-14T21:37:17.0855576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0855641Z x = self.se(x) 2025-08-14T21:37:17.0855878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:17.0855962Z return x * self.gate(x_se) 2025-08-14T21:37:17.0855966Z 2025-08-14T21:37:17.0856075Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0856284Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0856366Z return mod(*inputs) 2025-08-14T21:37:17.0856591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0856672Z x = self.forward_features(x) 2025-08-14T21:37:17.0856920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0856988Z x = self.blocks(x) 2025-08-14T21:37:17.0857235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0857299Z x = self.se(x) 2025-08-14T21:37:17.0857575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:17.0857656Z return x * self.gate(x_se) 2025-08-14T21:37:17.0857660Z 2025-08-14T21:37:17.0857744Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0857863Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0858070Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0858140Z return mod(*inputs) 2025-08-14T21:37:17.0858370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0858444Z x = self.forward_features(x) 2025-08-14T21:37:17.0858690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0858764Z x = self.blocks(x) 2025-08-14T21:37:17.0859003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.0859084Z x = self.conv_pwl(x) 2025-08-14T21:37:17.0859304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0859416Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0859685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0859795Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0859799Z 2025-08-14T21:37:17.0859889Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0859996Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0860203Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0860281Z return mod(*inputs) 2025-08-14T21:37:17.0860508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0860585Z x = self.forward_features(x) 2025-08-14T21:37:17.0860840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0860907Z x = self.blocks(x) 2025-08-14T21:37:17.0861154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.0861225Z x = self.conv_pwl(x) 2025-08-14T21:37:17.0861449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0861564Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0861790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0861899Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0861906Z 2025-08-14T21:37:17.0861995Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0862076Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0862189Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0862400Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0862473Z return mod(*inputs) 2025-08-14T21:37:17.0862704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0862779Z x = self.forward_features(x) 2025-08-14T21:37:17.0863029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0863105Z x = self.blocks(x) 2025-08-14T21:37:17.0863346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.0863424Z x = self.conv_pwl(x) 2025-08-14T21:37:17.0863690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.0863763Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.0863767Z 2025-08-14T21:37:17.0863883Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0864095Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0864166Z return mod(*inputs) 2025-08-14T21:37:17.0864397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0864473Z x = self.forward_features(x) 2025-08-14T21:37:17.0864730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0864798Z x = self.blocks(x) 2025-08-14T21:37:17.0865039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:37:17.0865132Z x = self.drop_path(x) + shortcut 2025-08-14T21:37:17.0865135Z 2025-08-14T21:37:17.0865243Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0865460Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0865530Z return mod(*inputs) 2025-08-14T21:37:17.0865792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0865876Z x = self.forward_features(x) 2025-08-14T21:37:17.0866123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0866190Z x = self.blocks(x) 2025-08-14T21:37:17.0866446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:17.0866514Z x = self.conv_pw(x) 2025-08-14T21:37:17.0866518Z 2025-08-14T21:37:17.0866629Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0866837Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0866904Z return mod(*inputs) 2025-08-14T21:37:17.0867128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0867203Z x = self.forward_features(x) 2025-08-14T21:37:17.0867440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0867513Z x = self.blocks(x) 2025-08-14T21:37:17.0867748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:17.0867821Z x = self.bn1(x) 2025-08-14T21:37:17.0868029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:17.0868096Z x = F.batch_norm( 2025-08-14T21:37:17.0868103Z 2025-08-14T21:37:17.0868212Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0868418Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0868487Z return mod(*inputs) 2025-08-14T21:37:17.0868721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0868795Z x = self.forward_features(x) 2025-08-14T21:37:17.0869051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0869117Z x = self.blocks(x) 2025-08-14T21:37:17.0869356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:17.0869430Z x = self.bn1(x) 2025-08-14T21:37:17.0869644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:37:17.0869759Z x = self.act(x) 2025-08-14T21:37:17.0869770Z 2025-08-14T21:37:17.0869856Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0869962Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0870181Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0870253Z return mod(*inputs) 2025-08-14T21:37:17.0870478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0870560Z x = self.forward_features(x) 2025-08-14T21:37:17.0870811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0870879Z x = self.blocks(x) 2025-08-14T21:37:17.0871130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.0871200Z x = self.conv_dw(x) 2025-08-14T21:37:17.0871433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0871546Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0871778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0871933Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0871938Z 2025-08-14T21:37:17.0872023Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0872137Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0872347Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0872415Z return mod(*inputs) 2025-08-14T21:37:17.0872647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0872790Z x = self.forward_features(x) 2025-08-14T21:37:17.0873063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0873141Z x = self.blocks(x) 2025-08-14T21:37:17.0873383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.0873465Z x = self.conv_dw(x) 2025-08-14T21:37:17.0873687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0873798Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0874035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0874152Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0874156Z 2025-08-14T21:37:17.0874237Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0874349Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0874555Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0874629Z return mod(*inputs) 2025-08-14T21:37:17.0874849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0874924Z x = self.forward_features(x) 2025-08-14T21:37:17.0875175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0875242Z x = self.blocks(x) 2025-08-14T21:37:17.0875476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.0875552Z x = self.conv_dw(x) 2025-08-14T21:37:17.0875766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0875876Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0876149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0876251Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0876255Z 2025-08-14T21:37:17.0876345Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0876427Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0876515Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0876620Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0876825Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0876900Z return mod(*inputs) 2025-08-14T21:37:17.0877123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0877196Z x = self.forward_features(x) 2025-08-14T21:37:17.0877454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0877523Z x = self.blocks(x) 2025-08-14T21:37:17.0877770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.0877836Z x = self.conv_dw(x) 2025-08-14T21:37:17.0878096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.0878176Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.0878180Z 2025-08-14T21:37:17.0878262Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0878368Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0878581Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0878649Z return mod(*inputs) 2025-08-14T21:37:17.0878874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0878952Z x = self.forward_features(x) 2025-08-14T21:37:17.0879195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0879269Z x = self.blocks(x) 2025-08-14T21:37:17.0879505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0879570Z x = self.se(x) 2025-08-14T21:37:17.0879812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:37:17.0879891Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:37:17.0879895Z 2025-08-14T21:37:17.0880008Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0880212Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0880280Z return mod(*inputs) 2025-08-14T21:37:17.0880504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0880580Z x = self.forward_features(x) 2025-08-14T21:37:17.0880826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0880902Z x = self.blocks(x) 2025-08-14T21:37:17.0881141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0881214Z x = self.se(x) 2025-08-14T21:37:17.0881446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:37:17.0881522Z x_se = self.conv_reduce(x_se) 2025-08-14T21:37:17.0881526Z 2025-08-14T21:37:17.0881638Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0881840Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0881907Z return mod(*inputs) 2025-08-14T21:37:17.0882176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0882249Z x = self.forward_features(x) 2025-08-14T21:37:17.0882497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0882564Z x = self.blocks(x) 2025-08-14T21:37:17.0882796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0882866Z x = self.se(x) 2025-08-14T21:37:17.0883100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:37:17.0883175Z x_se = self.act1(x_se) 2025-08-14T21:37:17.0883185Z 2025-08-14T21:37:17.0883291Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0883502Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0883581Z return mod(*inputs) 2025-08-14T21:37:17.0883805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0883880Z x = self.forward_features(x) 2025-08-14T21:37:17.0884176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0884248Z x = self.blocks(x) 2025-08-14T21:37:17.0884495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0884559Z x = self.se(x) 2025-08-14T21:37:17.0884797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:37:17.0884884Z x_se = self.conv_expand(x_se) 2025-08-14T21:37:17.0884888Z 2025-08-14T21:37:17.0884996Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0885207Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0885287Z return mod(*inputs) 2025-08-14T21:37:17.0885512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0885593Z x = self.forward_features(x) 2025-08-14T21:37:17.0885850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0885918Z x = self.blocks(x) 2025-08-14T21:37:17.0886167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0886230Z x = self.se(x) 2025-08-14T21:37:17.0886469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:17.0886549Z return x * self.gate(x_se) 2025-08-14T21:37:17.0886552Z 2025-08-14T21:37:17.0886660Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0886880Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0886947Z return mod(*inputs) 2025-08-14T21:37:17.0887172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0887254Z x = self.forward_features(x) 2025-08-14T21:37:17.0887502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0887568Z x = self.blocks(x) 2025-08-14T21:37:17.0887816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0887880Z x = self.se(x) 2025-08-14T21:37:17.0888126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:17.0888199Z return x * self.gate(x_se) 2025-08-14T21:37:17.0888242Z 2025-08-14T21:37:17.0888354Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0888570Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0888640Z return mod(*inputs) 2025-08-14T21:37:17.0888874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0888950Z x = self.forward_features(x) 2025-08-14T21:37:17.0889198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0889273Z x = self.blocks(x) 2025-08-14T21:37:17.0889515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.0889587Z x = self.conv_pwl(x) 2025-08-14T21:37:17.0889591Z 2025-08-14T21:37:17.0889705Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0889914Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0889994Z return mod(*inputs) 2025-08-14T21:37:17.0890219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0890294Z x = self.forward_features(x) 2025-08-14T21:37:17.0890590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0890661Z x = self.blocks(x) 2025-08-14T21:37:17.0890902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-14T21:37:17.0890976Z x = self.bn3(x) 2025-08-14T21:37:17.0891189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:17.0891265Z x = F.batch_norm( 2025-08-14T21:37:17.0891269Z 2025-08-14T21:37:17.0891376Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0891591Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0891668Z return mod(*inputs) 2025-08-14T21:37:17.0891895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0891972Z x = self.forward_features(x) 2025-08-14T21:37:17.0892231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0892299Z x = self.blocks(x) 2025-08-14T21:37:17.0892556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:17.0892624Z x = self.conv_pw(x) 2025-08-14T21:37:17.0892847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0892966Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0893202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0893311Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0893322Z 2025-08-14T21:37:17.0893430Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0893641Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0893720Z return mod(*inputs) 2025-08-14T21:37:17.0893945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0894019Z x = self.forward_features(x) 2025-08-14T21:37:17.0894278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0894345Z x = self.blocks(x) 2025-08-14T21:37:17.0894594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:17.0894719Z x = self.conv_pw(x) 2025-08-14T21:37:17.0894937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0895053Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0895286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0895392Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0895404Z 2025-08-14T21:37:17.0895490Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0895573Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0895687Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0895894Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0895972Z return mod(*inputs) 2025-08-14T21:37:17.0896205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0896284Z x = self.forward_features(x) 2025-08-14T21:37:17.0896720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0896804Z x = self.blocks(x) 2025-08-14T21:37:17.0897127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:17.0897206Z x = self.conv_pw(x) 2025-08-14T21:37:17.0897427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.0897502Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.0897506Z 2025-08-14T21:37:17.0897621Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0897829Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0897903Z return mod(*inputs) 2025-08-14T21:37:17.0898134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0898212Z x = self.forward_features(x) 2025-08-14T21:37:17.0898475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0898542Z x = self.blocks(x) 2025-08-14T21:37:17.0898782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:17.0898860Z x = self.bn1(x) 2025-08-14T21:37:17.0899074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:17.0899153Z x = F.batch_norm( 2025-08-14T21:37:17.0899156Z 2025-08-14T21:37:17.0899265Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0899476Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0899557Z return mod(*inputs) 2025-08-14T21:37:17.0899781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0899856Z x = self.forward_features(x) 2025-08-14T21:37:17.0900117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0900185Z x = self.blocks(x) 2025-08-14T21:37:17.0900436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:17.0900502Z x = self.bn1(x) 2025-08-14T21:37:17.0900715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:37:17.0900788Z x = self.act(x) 2025-08-14T21:37:17.0900792Z 2025-08-14T21:37:17.0900877Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0900986Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0901273Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0901342Z return mod(*inputs) 2025-08-14T21:37:17.0901563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0901638Z x = self.forward_features(x) 2025-08-14T21:37:17.0901882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0901955Z x = self.blocks(x) 2025-08-14T21:37:17.0902195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.0902265Z x = self.conv_dw(x) 2025-08-14T21:37:17.0902492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0902604Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0902841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0902952Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0902956Z 2025-08-14T21:37:17.0903039Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0903191Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0926583Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0926800Z return mod(*inputs) 2025-08-14T21:37:17.0927132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0927221Z x = self.forward_features(x) 2025-08-14T21:37:17.0927506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0927582Z x = self.blocks(x) 2025-08-14T21:37:17.0927867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.0927948Z x = self.conv_dw(x) 2025-08-14T21:37:17.0928178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0928312Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0928561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0928674Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0928682Z 2025-08-14T21:37:17.0928786Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0928908Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0929132Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0929214Z return mod(*inputs) 2025-08-14T21:37:17.0929451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0929537Z x = self.forward_features(x) 2025-08-14T21:37:17.0929793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0929863Z x = self.blocks(x) 2025-08-14T21:37:17.0930117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.0930187Z x = self.conv_dw(x) 2025-08-14T21:37:17.0930408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0930528Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0930758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0930876Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0931042Z 2025-08-14T21:37:17.0931134Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0931251Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0931486Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0931561Z return mod(*inputs) 2025-08-14T21:37:17.0931794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0931881Z x = self.forward_features(x) 2025-08-14T21:37:17.0932136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0932213Z x = self.blocks(x) 2025-08-14T21:37:17.0932454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.0932524Z x = self.conv_dw(x) 2025-08-14T21:37:17.0932752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0932868Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0933104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0933270Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0933275Z 2025-08-14T21:37:17.0933370Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0933453Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0933540Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0933622Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0934191Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0934414Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0934483Z return mod(*inputs) 2025-08-14T21:37:17.0934719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0934808Z x = self.forward_features(x) 2025-08-14T21:37:17.0935060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0935138Z x = self.blocks(x) 2025-08-14T21:37:17.0935389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.0935459Z x = self.conv_dw(x) 2025-08-14T21:37:17.0935689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.0935763Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.0935768Z 2025-08-14T21:37:17.0935851Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0935971Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0936183Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0936263Z return mod(*inputs) 2025-08-14T21:37:17.0936491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0936568Z x = self.forward_features(x) 2025-08-14T21:37:17.0936831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0936900Z x = self.blocks(x) 2025-08-14T21:37:17.0937143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0937217Z x = self.se(x) 2025-08-14T21:37:17.0937459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:37:17.0937548Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:37:17.0937552Z 2025-08-14T21:37:17.0937663Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0937910Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0937988Z return mod(*inputs) 2025-08-14T21:37:17.0938213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0938298Z x = self.forward_features(x) 2025-08-14T21:37:17.0938550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0938618Z x = self.blocks(x) 2025-08-14T21:37:17.0938865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0938932Z x = self.se(x) 2025-08-14T21:37:17.0939176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:37:17.0939263Z x_se = self.conv_reduce(x_se) 2025-08-14T21:37:17.0939267Z 2025-08-14T21:37:17.0939378Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0939595Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0939666Z return mod(*inputs) 2025-08-14T21:37:17.0939941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0940027Z x = self.forward_features(x) 2025-08-14T21:37:17.0940277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0940346Z x = self.blocks(x) 2025-08-14T21:37:17.0940592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0940658Z x = self.se(x) 2025-08-14T21:37:17.0940903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:37:17.0940984Z x_se = self.act1(x_se) 2025-08-14T21:37:17.0940987Z 2025-08-14T21:37:17.0941095Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0941319Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0941388Z return mod(*inputs) 2025-08-14T21:37:17.0941617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0941698Z x = self.forward_features(x) 2025-08-14T21:37:17.0941945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0942019Z x = self.blocks(x) 2025-08-14T21:37:17.0942256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0942320Z x = self.se(x) 2025-08-14T21:37:17.0942564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:37:17.0942644Z x_se = self.conv_expand(x_se) 2025-08-14T21:37:17.0942648Z 2025-08-14T21:37:17.0942755Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0942970Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0943043Z return mod(*inputs) 2025-08-14T21:37:17.0943277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0943350Z x = self.forward_features(x) 2025-08-14T21:37:17.0943598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0943674Z x = self.blocks(x) 2025-08-14T21:37:17.0943912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0943985Z x = self.se(x) 2025-08-14T21:37:17.0944233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:17.0944346Z return x * self.gate(x_se) 2025-08-14T21:37:17.0944350Z 2025-08-14T21:37:17.0944465Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0944689Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0944758Z return mod(*inputs) 2025-08-14T21:37:17.0944992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0945065Z x = self.forward_features(x) 2025-08-14T21:37:17.0945330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0945399Z x = self.blocks(x) 2025-08-14T21:37:17.0945643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0945719Z x = self.se(x) 2025-08-14T21:37:17.0945967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:17.0946044Z return x * self.gate(x_se) 2025-08-14T21:37:17.0946048Z 2025-08-14T21:37:17.0946141Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0946292Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0946514Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0946583Z return mod(*inputs) 2025-08-14T21:37:17.0946810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0946889Z x = self.forward_features(x) 2025-08-14T21:37:17.0947147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0947215Z x = self.blocks(x) 2025-08-14T21:37:17.0947467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.0947541Z x = self.conv_pwl(x) 2025-08-14T21:37:17.0947770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0947885Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0948118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0948233Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0948237Z 2025-08-14T21:37:17.0948322Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0948429Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0948656Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0948725Z return mod(*inputs) 2025-08-14T21:37:17.0948960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0949034Z x = self.forward_features(x) 2025-08-14T21:37:17.0949296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0949375Z x = self.blocks(x) 2025-08-14T21:37:17.0949616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.0949698Z x = self.conv_pwl(x) 2025-08-14T21:37:17.0949920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0950030Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0950270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0950378Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0950413Z 2025-08-14T21:37:17.0950497Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0950588Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0950697Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0950929Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0950999Z return mod(*inputs) 2025-08-14T21:37:17.0951228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0951310Z x = self.forward_features(x) 2025-08-14T21:37:17.0951569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0951637Z x = self.blocks(x) 2025-08-14T21:37:17.0951886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.0951962Z x = self.conv_pwl(x) 2025-08-14T21:37:17.0952191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.0952264Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.0952268Z 2025-08-14T21:37:17.0952376Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0952634Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0952706Z return mod(*inputs) 2025-08-14T21:37:17.0953027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0953116Z x = self.forward_features(x) 2025-08-14T21:37:17.0953373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0953453Z x = self.blocks(x) 2025-08-14T21:37:17.0953695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:37:17.0953783Z x = self.drop_path(x) + shortcut 2025-08-14T21:37:17.0953787Z 2025-08-14T21:37:17.0953905Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0954113Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0954187Z return mod(*inputs) 2025-08-14T21:37:17.0954422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0954497Z x = self.forward_features(x) 2025-08-14T21:37:17.0954754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0954823Z x = self.blocks(x) 2025-08-14T21:37:17.0955062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:17.0955141Z x = self.conv_pw(x) 2025-08-14T21:37:17.0955363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0955481Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0955714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0955825Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0955829Z 2025-08-14T21:37:17.0955948Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0956159Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0956230Z return mod(*inputs) 2025-08-14T21:37:17.0956469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0956545Z x = self.forward_features(x) 2025-08-14T21:37:17.0956800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0956915Z x = self.blocks(x) 2025-08-14T21:37:17.0957156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:17.0957231Z x = self.conv_pw(x) 2025-08-14T21:37:17.0957456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0957564Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0957800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0957907Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0957911Z 2025-08-14T21:37:17.0958003Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0958087Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0958195Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0958414Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0958483Z return mod(*inputs) 2025-08-14T21:37:17.0958708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0958858Z x = self.forward_features(x) 2025-08-14T21:37:17.0959112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0959187Z x = self.blocks(x) 2025-08-14T21:37:17.0959424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:17.0959493Z x = self.conv_pw(x) 2025-08-14T21:37:17.0959722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.0959794Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.0959798Z 2025-08-14T21:37:17.0959916Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0960125Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0960194Z return mod(*inputs) 2025-08-14T21:37:17.0960429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0960504Z x = self.forward_features(x) 2025-08-14T21:37:17.0960754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0960832Z x = self.blocks(x) 2025-08-14T21:37:17.0961073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:17.0961147Z x = self.bn1(x) 2025-08-14T21:37:17.0961362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:17.0961431Z x = F.batch_norm( 2025-08-14T21:37:17.0961437Z 2025-08-14T21:37:17.0961554Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0961762Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0961831Z return mod(*inputs) 2025-08-14T21:37:17.0962066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0962142Z x = self.forward_features(x) 2025-08-14T21:37:17.0962403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0962471Z x = self.blocks(x) 2025-08-14T21:37:17.0962712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:17.0962785Z x = self.bn1(x) 2025-08-14T21:37:17.0963000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:37:17.0963098Z x = self.act(x) 2025-08-14T21:37:17.0963102Z 2025-08-14T21:37:17.0963192Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0963299Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0963514Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0963586Z return mod(*inputs) 2025-08-14T21:37:17.0963809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0963891Z x = self.forward_features(x) 2025-08-14T21:37:17.0964141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0964208Z x = self.blocks(x) 2025-08-14T21:37:17.0964458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.0964526Z x = self.conv_dw(x) 2025-08-14T21:37:17.0964757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0964867Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0965105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0965254Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0965258Z 2025-08-14T21:37:17.0965345Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0965459Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0965670Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0965739Z return mod(*inputs) 2025-08-14T21:37:17.0965969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0966043Z x = self.forward_features(x) 2025-08-14T21:37:17.0966297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0966373Z x = self.blocks(x) 2025-08-14T21:37:17.0966615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.0966693Z x = self.conv_dw(x) 2025-08-14T21:37:17.0966915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0967022Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0967264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0967373Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0967376Z 2025-08-14T21:37:17.0967460Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0967576Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0967788Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0967865Z return mod(*inputs) 2025-08-14T21:37:17.0968090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0968168Z x = self.forward_features(x) 2025-08-14T21:37:17.0968424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0968492Z x = self.blocks(x) 2025-08-14T21:37:17.0968738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.0968813Z x = self.conv_dw(x) 2025-08-14T21:37:17.0969035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0969150Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0969417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0969522Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0969526Z 2025-08-14T21:37:17.0969617Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0969729Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0969940Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0970017Z return mod(*inputs) 2025-08-14T21:37:17.0970243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0970326Z x = self.forward_features(x) 2025-08-14T21:37:17.0970585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0970652Z x = self.blocks(x) 2025-08-14T21:37:17.0970903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.0970972Z x = self.conv_dw(x) 2025-08-14T21:37:17.0971203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0971344Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0971577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0971689Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0971692Z 2025-08-14T21:37:17.0971776Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0971859Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0971946Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0972026Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0972142Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0972355Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0972425Z return mod(*inputs) 2025-08-14T21:37:17.0972668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0972746Z x = self.forward_features(x) 2025-08-14T21:37:17.0972999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0973076Z x = self.blocks(x) 2025-08-14T21:37:17.0973330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.0973404Z x = self.conv_dw(x) 2025-08-14T21:37:17.0973625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.0973698Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.0973702Z 2025-08-14T21:37:17.0973792Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0973902Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0974109Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0974187Z return mod(*inputs) 2025-08-14T21:37:17.0974413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0974496Z x = self.forward_features(x) 2025-08-14T21:37:17.0974743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0974810Z x = self.blocks(x) 2025-08-14T21:37:17.0975054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0975120Z x = self.se(x) 2025-08-14T21:37:17.0975360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:37:17.0975480Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:37:17.0975484Z 2025-08-14T21:37:17.0975593Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0975807Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0975879Z return mod(*inputs) 2025-08-14T21:37:17.0976110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0976186Z x = self.forward_features(x) 2025-08-14T21:37:17.0976441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0976509Z x = self.blocks(x) 2025-08-14T21:37:17.0976753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0976818Z x = self.se(x) 2025-08-14T21:37:17.0977059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:37:17.0977142Z x_se = self.conv_reduce(x_se) 2025-08-14T21:37:17.0977146Z 2025-08-14T21:37:17.0977253Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0977502Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0977582Z return mod(*inputs) 2025-08-14T21:37:17.0977806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0977888Z x = self.forward_features(x) 2025-08-14T21:37:17.0978137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0978204Z x = self.blocks(x) 2025-08-14T21:37:17.0978452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0978521Z x = self.se(x) 2025-08-14T21:37:17.0978759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:37:17.0978839Z x_se = self.act1(x_se) 2025-08-14T21:37:17.0978843Z 2025-08-14T21:37:17.0978951Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0979171Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0979239Z return mod(*inputs) 2025-08-14T21:37:17.0979465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0979548Z x = self.forward_features(x) 2025-08-14T21:37:17.0979796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0979864Z x = self.blocks(x) 2025-08-14T21:37:17.0980110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0980180Z x = self.se(x) 2025-08-14T21:37:17.0980424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:37:17.0980501Z x_se = self.conv_expand(x_se) 2025-08-14T21:37:17.0980505Z 2025-08-14T21:37:17.0980615Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0980834Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0980903Z return mod(*inputs) 2025-08-14T21:37:17.0981136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0981210Z x = self.forward_features(x) 2025-08-14T21:37:17.0981458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0981531Z x = self.blocks(x) 2025-08-14T21:37:17.0982595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0982661Z x = self.se(x) 2025-08-14T21:37:17.0982905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:17.0982987Z return x * self.gate(x_se) 2025-08-14T21:37:17.0982991Z 2025-08-14T21:37:17.0983109Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0983323Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0983393Z return mod(*inputs) 2025-08-14T21:37:17.0983628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0983703Z x = self.forward_features(x) 2025-08-14T21:37:17.0983952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0984031Z x = self.blocks(x) 2025-08-14T21:37:17.0984272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.0984344Z x = self.se(x) 2025-08-14T21:37:17.0984630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:17.0984707Z return x * self.gate(x_se) 2025-08-14T21:37:17.0984711Z 2025-08-14T21:37:17.0984802Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0984910Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0985118Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0985199Z return mod(*inputs) 2025-08-14T21:37:17.0985424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0985505Z x = self.forward_features(x) 2025-08-14T21:37:17.0985756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0985825Z x = self.blocks(x) 2025-08-14T21:37:17.0986073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.0986148Z x = self.conv_pwl(x) 2025-08-14T21:37:17.0986370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0986487Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0986727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0986842Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0986846Z 2025-08-14T21:37:17.0986928Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0987037Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0987258Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0987327Z return mod(*inputs) 2025-08-14T21:37:17.0987570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0987647Z x = self.forward_features(x) 2025-08-14T21:37:17.0987895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0987969Z x = self.blocks(x) 2025-08-14T21:37:17.0988229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.0988300Z x = self.conv_pwl(x) 2025-08-14T21:37:17.0988529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0988636Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0988910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0989018Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0989021Z 2025-08-14T21:37:17.0989105Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0989198Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0989307Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0989517Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0989594Z return mod(*inputs) 2025-08-14T21:37:17.0989832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0989912Z x = self.forward_features(x) 2025-08-14T21:37:17.0990162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0990232Z x = self.blocks(x) 2025-08-14T21:37:17.0990493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.0990564Z x = self.conv_pwl(x) 2025-08-14T21:37:17.0990819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.0990900Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.0990904Z 2025-08-14T21:37:17.0991012Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0991225Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0991295Z return mod(*inputs) 2025-08-14T21:37:17.0991528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0991610Z x = self.forward_features(x) 2025-08-14T21:37:17.0991857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0991928Z x = self.blocks(x) 2025-08-14T21:37:17.0992194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:37:17.0992272Z x = self.drop_path(x) + shortcut 2025-08-14T21:37:17.0992276Z 2025-08-14T21:37:17.0992393Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0992601Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0992669Z return mod(*inputs) 2025-08-14T21:37:17.0993213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0993294Z x = self.forward_features(x) 2025-08-14T21:37:17.0993553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0993621Z x = self.blocks(x) 2025-08-14T21:37:17.0993866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:17.0993943Z x = self.conv_pw(x) 2025-08-14T21:37:17.0994162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0994277Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0994517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0994628Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0994632Z 2025-08-14T21:37:17.0994750Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0994955Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0995025Z return mod(*inputs) 2025-08-14T21:37:17.0995270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0995391Z x = self.forward_features(x) 2025-08-14T21:37:17.0995641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0995718Z x = self.blocks(x) 2025-08-14T21:37:17.0995961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:17.0996036Z x = self.conv_pw(x) 2025-08-14T21:37:17.0996256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.0996363Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0996827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.0996941Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.0996950Z 2025-08-14T21:37:17.0997042Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0997126Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.0997235Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0997450Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0997629Z return mod(*inputs) 2025-08-14T21:37:17.0997868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0997953Z x = self.forward_features(x) 2025-08-14T21:37:17.0998203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0998280Z x = self.blocks(x) 2025-08-14T21:37:17.0998522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:17.0998592Z x = self.conv_pw(x) 2025-08-14T21:37:17.0998824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.0998898Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.0998902Z 2025-08-14T21:37:17.0999012Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.0999236Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.0999307Z return mod(*inputs) 2025-08-14T21:37:17.0999543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.0999619Z x = self.forward_features(x) 2025-08-14T21:37:17.0999871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.0999949Z x = self.blocks(x) 2025-08-14T21:37:17.1000192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:17.1000263Z x = self.bn1(x) 2025-08-14T21:37:17.1000489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:17.1000557Z x = F.batch_norm( 2025-08-14T21:37:17.1000562Z 2025-08-14T21:37:17.1000678Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1000890Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1000959Z return mod(*inputs) 2025-08-14T21:37:17.1001191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1001264Z x = self.forward_features(x) 2025-08-14T21:37:17.1001515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1001590Z x = self.blocks(x) 2025-08-14T21:37:17.1001832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:17.1001972Z x = self.bn1(x) 2025-08-14T21:37:17.1002181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:37:17.1002246Z x = self.act(x) 2025-08-14T21:37:17.1002250Z 2025-08-14T21:37:17.1002342Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1002448Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1002650Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1002724Z return mod(*inputs) 2025-08-14T21:37:17.1002940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1003019Z x = self.forward_features(x) 2025-08-14T21:37:17.1003260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1003325Z x = self.blocks(x) 2025-08-14T21:37:17.1003569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1003635Z x = self.conv_dw(x) 2025-08-14T21:37:17.1003848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1004004Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1004229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1004342Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1004345Z 2025-08-14T21:37:17.1004426Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1004531Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1004740Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1004807Z return mod(*inputs) 2025-08-14T21:37:17.1005036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1005109Z x = self.forward_features(x) 2025-08-14T21:37:17.1005349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1005425Z x = self.blocks(x) 2025-08-14T21:37:17.1005660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1005728Z x = self.conv_dw(x) 2025-08-14T21:37:17.1005958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1006064Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1006298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1006405Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1006412Z 2025-08-14T21:37:17.1006495Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1006612Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1006818Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1006890Z return mod(*inputs) 2025-08-14T21:37:17.1007117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1007190Z x = self.forward_features(x) 2025-08-14T21:37:17.1007443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1007520Z x = self.blocks(x) 2025-08-14T21:37:17.1007754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1007826Z x = self.conv_dw(x) 2025-08-14T21:37:17.1008076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1008179Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1008409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1008516Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1008519Z 2025-08-14T21:37:17.1008607Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1008709Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1008911Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1008984Z return mod(*inputs) 2025-08-14T21:37:17.1009201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1009279Z x = self.forward_features(x) 2025-08-14T21:37:17.1009531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1009597Z x = self.blocks(x) 2025-08-14T21:37:17.1009846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1009952Z x = self.conv_dw(x) 2025-08-14T21:37:17.1010183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1010300Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1010531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1010647Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1010651Z 2025-08-14T21:37:17.1010734Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1010818Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1010913Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1010993Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1011101Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1011320Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1011391Z return mod(*inputs) 2025-08-14T21:37:17.1011627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1011702Z x = self.forward_features(x) 2025-08-14T21:37:17.1011958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1012042Z x = self.blocks(x) 2025-08-14T21:37:17.1012280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1012346Z x = self.conv_dw(x) 2025-08-14T21:37:17.1012574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.1012644Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.1012648Z 2025-08-14T21:37:17.1012735Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1012841Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1013050Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1013125Z return mod(*inputs) 2025-08-14T21:37:17.1013346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1013419Z x = self.forward_features(x) 2025-08-14T21:37:17.1013674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1013739Z x = self.blocks(x) 2025-08-14T21:37:17.1013986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1014089Z x = self.se(x) 2025-08-14T21:37:17.1014331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:37:17.1014420Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:37:17.1014424Z 2025-08-14T21:37:17.1014535Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1014744Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1014820Z return mod(*inputs) 2025-08-14T21:37:17.1015044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1015127Z x = self.forward_features(x) 2025-08-14T21:37:17.1015375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1015442Z x = self.blocks(x) 2025-08-14T21:37:17.1015692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1015758Z x = self.se(x) 2025-08-14T21:37:17.1015995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:37:17.1016113Z x_se = self.conv_reduce(x_se) 2025-08-14T21:37:17.1016118Z 2025-08-14T21:37:17.1016226Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1016442Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1016509Z return mod(*inputs) 2025-08-14T21:37:17.1016735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1016821Z x = self.forward_features(x) 2025-08-14T21:37:17.1017070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1017149Z x = self.blocks(x) 2025-08-14T21:37:17.1017389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1017455Z x = self.se(x) 2025-08-14T21:37:17.1017707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:37:17.1017782Z x_se = self.act1(x_se) 2025-08-14T21:37:17.1017785Z 2025-08-14T21:37:17.1017893Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1018110Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1018178Z return mod(*inputs) 2025-08-14T21:37:17.1018411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1018488Z x = self.forward_features(x) 2025-08-14T21:37:17.1018737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1018815Z x = self.blocks(x) 2025-08-14T21:37:17.1019055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1019119Z x = self.se(x) 2025-08-14T21:37:17.1019367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:37:17.1019443Z x_se = self.conv_expand(x_se) 2025-08-14T21:37:17.1019447Z 2025-08-14T21:37:17.1019561Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1019771Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1019839Z return mod(*inputs) 2025-08-14T21:37:17.1020072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1020145Z x = self.forward_features(x) 2025-08-14T21:37:17.1020425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1020499Z x = self.blocks(x) 2025-08-14T21:37:17.1020738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1020812Z x = self.se(x) 2025-08-14T21:37:17.1021048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:17.1021122Z return x * self.gate(x_se) 2025-08-14T21:37:17.1021125Z 2025-08-14T21:37:17.1021240Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1021447Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1021522Z return mod(*inputs) 2025-08-14T21:37:17.1021746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1021823Z x = self.forward_features(x) 2025-08-14T21:37:17.1022106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1022173Z x = self.blocks(x) 2025-08-14T21:37:17.1022450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1022523Z x = self.se(x) 2025-08-14T21:37:17.1022760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:17.1022840Z return x * self.gate(x_se) 2025-08-14T21:37:17.1022844Z 2025-08-14T21:37:17.1022927Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1023035Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1023250Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1023319Z return mod(*inputs) 2025-08-14T21:37:17.1023549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1023630Z x = self.forward_features(x) 2025-08-14T21:37:17.1023884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1023960Z x = self.blocks(x) 2025-08-14T21:37:17.1024202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.1024273Z x = self.conv_pwl(x) 2025-08-14T21:37:17.1024505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1024617Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1024849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1024964Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1024971Z 2025-08-14T21:37:17.1025053Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1025168Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1025378Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1025449Z return mod(*inputs) 2025-08-14T21:37:17.1025683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1025759Z x = self.forward_features(x) 2025-08-14T21:37:17.1026009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1026086Z x = self.blocks(x) 2025-08-14T21:37:17.1026328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.1026408Z x = self.conv_pwl(x) 2025-08-14T21:37:17.1026674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1026783Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1027023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1027132Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1027138Z 2025-08-14T21:37:17.1027228Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1027309Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1027431Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1027639Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1027709Z return mod(*inputs) 2025-08-14T21:37:17.1027939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1028018Z x = self.forward_features(x) 2025-08-14T21:37:17.1028277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1028345Z x = self.blocks(x) 2025-08-14T21:37:17.1028622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.1028702Z x = self.conv_pwl(x) 2025-08-14T21:37:17.1028921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.1029000Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.1029004Z 2025-08-14T21:37:17.1029114Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1029322Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1029399Z return mod(*inputs) 2025-08-14T21:37:17.1029621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1029700Z x = self.forward_features(x) 2025-08-14T21:37:17.1029955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1030023Z x = self.blocks(x) 2025-08-14T21:37:17.1030274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:37:17.1030352Z x = self.drop_path(x) + shortcut 2025-08-14T21:37:17.1030356Z 2025-08-14T21:37:17.1030462Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1030677Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1030745Z return mod(*inputs) 2025-08-14T21:37:17.1030967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1031050Z x = self.forward_features(x) 2025-08-14T21:37:17.1031302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1031375Z x = self.blocks(x) 2025-08-14T21:37:17.1031612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:17.1031682Z x = self.conv_pw(x) 2025-08-14T21:37:17.1031685Z 2025-08-14T21:37:17.1031799Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1032004Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1032072Z return mod(*inputs) 2025-08-14T21:37:17.1032302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1032375Z x = self.forward_features(x) 2025-08-14T21:37:17.1032625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1032806Z x = self.blocks(x) 2025-08-14T21:37:17.1033055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1033132Z x = self.conv_dw(x) 2025-08-14T21:37:17.1033136Z 2025-08-14T21:37:17.1033227Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1033342Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1033549Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1033619Z return mod(*inputs) 2025-08-14T21:37:17.1033854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1033929Z x = self.forward_features(x) 2025-08-14T21:37:17.1034176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1034257Z x = self.blocks(x) 2025-08-14T21:37:17.1034498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1034570Z x = self.se(x) 2025-08-14T21:37:17.1034809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:37:17.1034935Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:37:17.1034941Z 2025-08-14T21:37:17.1035060Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1035271Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1035340Z return mod(*inputs) 2025-08-14T21:37:17.1035576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1035649Z x = self.forward_features(x) 2025-08-14T21:37:17.1035904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1035975Z x = self.blocks(x) 2025-08-14T21:37:17.1036212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1036283Z x = self.se(x) 2025-08-14T21:37:17.1036526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:37:17.1036604Z x_se = self.conv_reduce(x_se) 2025-08-14T21:37:17.1036608Z 2025-08-14T21:37:17.1036722Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1036930Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1037007Z return mod(*inputs) 2025-08-14T21:37:17.1037232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1037305Z x = self.forward_features(x) 2025-08-14T21:37:17.1037564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1037632Z x = self.blocks(x) 2025-08-14T21:37:17.1037873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1037947Z x = self.se(x) 2025-08-14T21:37:17.1038189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:37:17.1038273Z x_se = self.act1(x_se) 2025-08-14T21:37:17.1038277Z 2025-08-14T21:37:17.1038385Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1038595Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1038674Z return mod(*inputs) 2025-08-14T21:37:17.1038900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1039021Z x = self.forward_features(x) 2025-08-14T21:37:17.1039270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1039337Z x = self.blocks(x) 2025-08-14T21:37:17.1039592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1039659Z x = self.se(x) 2025-08-14T21:37:17.1039895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:37:17.1039981Z x_se = self.conv_expand(x_se) 2025-08-14T21:37:17.1039984Z 2025-08-14T21:37:17.1040091Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1040308Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1040377Z return mod(*inputs) 2025-08-14T21:37:17.1040602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1040687Z x = self.forward_features(x) 2025-08-14T21:37:17.1040934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1041001Z x = self.blocks(x) 2025-08-14T21:37:17.1041330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1041397Z x = self.se(x) 2025-08-14T21:37:17.1041646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:17.1041721Z return x * self.gate(x_se) 2025-08-14T21:37:17.1041724Z 2025-08-14T21:37:17.1041831Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1042050Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1042118Z return mod(*inputs) 2025-08-14T21:37:17.1042351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1042433Z x = self.forward_features(x) 2025-08-14T21:37:17.1042687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1042763Z x = self.blocks(x) 2025-08-14T21:37:17.1043006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1043071Z x = self.se(x) 2025-08-14T21:37:17.1043317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:17.1043390Z return x * self.gate(x_se) 2025-08-14T21:37:17.1043394Z 2025-08-14T21:37:17.1043518Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1043722Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1043793Z return mod(*inputs) 2025-08-14T21:37:17.1044019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1044094Z x = self.forward_features(x) 2025-08-14T21:37:17.1044340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1044415Z x = self.blocks(x) 2025-08-14T21:37:17.1044656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.1044734Z x = self.conv_pwl(x) 2025-08-14T21:37:17.1044738Z 2025-08-14T21:37:17.1044847Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1045063Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1045139Z return mod(*inputs) 2025-08-14T21:37:17.1045365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1045480Z x = self.forward_features(x) 2025-08-14T21:37:17.1045735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1045803Z x = self.blocks(x) 2025-08-14T21:37:17.1046051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-14T21:37:17.1046118Z x = self.bn3(x) 2025-08-14T21:37:17.1046332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:17.1046407Z x = F.batch_norm( 2025-08-14T21:37:17.1046411Z 2025-08-14T21:37:17.1046517Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1046730Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1046807Z return mod(*inputs) 2025-08-14T21:37:17.1047024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1047102Z x = self.forward_features(x) 2025-08-14T21:37:17.1047365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1047465Z x = self.blocks(x) 2025-08-14T21:37:17.1047709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:17.1047775Z x = self.conv_pw(x) 2025-08-14T21:37:17.1047990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1048107Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1048333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1048447Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1048453Z 2025-08-14T21:37:17.1048557Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1048781Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1048854Z return mod(*inputs) 2025-08-14T21:37:17.1049089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1049169Z x = self.forward_features(x) 2025-08-14T21:37:17.1049433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1049500Z x = self.blocks(x) 2025-08-14T21:37:17.1049753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:17.1049820Z x = self.conv_pw(x) 2025-08-14T21:37:17.1050038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1050156Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1050380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1050492Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1050499Z 2025-08-14T21:37:17.1050583Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1050663Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1050776Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1050984Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1051053Z return mod(*inputs) 2025-08-14T21:37:17.1051287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1051363Z x = self.forward_features(x) 2025-08-14T21:37:17.1051631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1051743Z x = self.blocks(x) 2025-08-14T21:37:17.1051989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:17.1052065Z x = self.conv_pw(x) 2025-08-14T21:37:17.1052289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.1052362Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.1052366Z 2025-08-14T21:37:17.1052482Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1052739Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1052826Z return mod(*inputs) 2025-08-14T21:37:17.1053059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1053132Z x = self.forward_features(x) 2025-08-14T21:37:17.1053395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1053464Z x = self.blocks(x) 2025-08-14T21:37:17.1053705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:17.1053816Z x = self.bn1(x) 2025-08-14T21:37:17.1054037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:17.1054111Z x = F.batch_norm( 2025-08-14T21:37:17.1054115Z 2025-08-14T21:37:17.1054224Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1054446Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1054524Z return mod(*inputs) 2025-08-14T21:37:17.1054750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1054836Z x = self.forward_features(x) 2025-08-14T21:37:17.1055096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1055162Z x = self.blocks(x) 2025-08-14T21:37:17.1055416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:17.1055482Z x = self.bn1(x) 2025-08-14T21:37:17.1055697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:37:17.1055771Z x = self.act(x) 2025-08-14T21:37:17.1055775Z 2025-08-14T21:37:17.1055861Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1055975Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1056195Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1056265Z return mod(*inputs) 2025-08-14T21:37:17.1056503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1056682Z x = self.forward_features(x) 2025-08-14T21:37:17.1056949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1057032Z x = self.blocks(x) 2025-08-14T21:37:17.1057272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1057351Z x = self.conv_dw(x) 2025-08-14T21:37:17.1057570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1057681Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1057922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1058031Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1058117Z 2025-08-14T21:37:17.1058205Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1058322Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1058534Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1058617Z return mod(*inputs) 2025-08-14T21:37:17.1058843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1058917Z x = self.forward_features(x) 2025-08-14T21:37:17.1059175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1059243Z x = self.blocks(x) 2025-08-14T21:37:17.1059483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1059558Z x = self.conv_dw(x) 2025-08-14T21:37:17.1059781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1059897Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1060127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1060265Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1060270Z 2025-08-14T21:37:17.1060365Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1060472Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1060690Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1060758Z return mod(*inputs) 2025-08-14T21:37:17.1060984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1061066Z x = self.forward_features(x) 2025-08-14T21:37:17.1061319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1061386Z x = self.blocks(x) 2025-08-14T21:37:17.1061635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1061705Z x = self.conv_dw(x) 2025-08-14T21:37:17.1061932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1062039Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1062266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1062379Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1062382Z 2025-08-14T21:37:17.1062466Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1062573Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1062789Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1062858Z return mod(*inputs) 2025-08-14T21:37:17.1063086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1063163Z x = self.forward_features(x) 2025-08-14T21:37:17.1063412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1063485Z x = self.blocks(x) 2025-08-14T21:37:17.1063728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1063795Z x = self.conv_dw(x) 2025-08-14T21:37:17.1064022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1064127Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1064396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1064502Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1064506Z 2025-08-14T21:37:17.1064589Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1064683Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1064765Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1064846Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1064962Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1065171Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1065247Z return mod(*inputs) 2025-08-14T21:37:17.1065471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1065545Z x = self.forward_features(x) 2025-08-14T21:37:17.1065800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1065871Z x = self.blocks(x) 2025-08-14T21:37:17.1066109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1066185Z x = self.conv_dw(x) 2025-08-14T21:37:17.1066435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.1066516Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.1066519Z 2025-08-14T21:37:17.1066602Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1066713Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1066933Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1067003Z return mod(*inputs) 2025-08-14T21:37:17.1067233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1067320Z x = self.forward_features(x) 2025-08-14T21:37:17.1067572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1067649Z x = self.blocks(x) 2025-08-14T21:37:17.1067898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1067964Z x = self.se(x) 2025-08-14T21:37:17.1068215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:37:17.1068296Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:37:17.1068300Z 2025-08-14T21:37:17.1068416Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1068629Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1068701Z return mod(*inputs) 2025-08-14T21:37:17.1068940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1069015Z x = self.forward_features(x) 2025-08-14T21:37:17.1069264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1069343Z x = self.blocks(x) 2025-08-14T21:37:17.1069585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1069658Z x = self.se(x) 2025-08-14T21:37:17.1069898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:37:17.1069976Z x_se = self.conv_reduce(x_se) 2025-08-14T21:37:17.1069979Z 2025-08-14T21:37:17.1070095Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1070306Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1070421Z return mod(*inputs) 2025-08-14T21:37:17.1070656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1070729Z x = self.forward_features(x) 2025-08-14T21:37:17.1070993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1071061Z x = self.blocks(x) 2025-08-14T21:37:17.1071302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1071374Z x = self.se(x) 2025-08-14T21:37:17.1071615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:37:17.1071688Z x_se = self.act1(x_se) 2025-08-14T21:37:17.1071700Z 2025-08-14T21:37:17.1071806Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1072017Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1072097Z return mod(*inputs) 2025-08-14T21:37:17.1072325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1072400Z x = self.forward_features(x) 2025-08-14T21:37:17.1072706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1072844Z x = self.blocks(x) 2025-08-14T21:37:17.1073094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1073166Z x = self.se(x) 2025-08-14T21:37:17.1073406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:37:17.1073491Z x_se = self.conv_expand(x_se) 2025-08-14T21:37:17.1073495Z 2025-08-14T21:37:17.1073603Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1073817Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1073898Z return mod(*inputs) 2025-08-14T21:37:17.1074125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1074211Z x = self.forward_features(x) 2025-08-14T21:37:17.1074461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1074529Z x = self.blocks(x) 2025-08-14T21:37:17.1074775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1074842Z x = self.se(x) 2025-08-14T21:37:17.1075083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:17.1075170Z return x * self.gate(x_se) 2025-08-14T21:37:17.1075174Z 2025-08-14T21:37:17.1075285Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1075502Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1075572Z return mod(*inputs) 2025-08-14T21:37:17.1075801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1075885Z x = self.forward_features(x) 2025-08-14T21:37:17.1076135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1076205Z x = self.blocks(x) 2025-08-14T21:37:17.1076451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1076516Z x = self.se(x) 2025-08-14T21:37:17.1076760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:17.1076877Z return x * self.gate(x_se) 2025-08-14T21:37:17.1076881Z 2025-08-14T21:37:17.1076963Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1077078Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1077288Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1077360Z return mod(*inputs) 2025-08-14T21:37:17.1077597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1077670Z x = self.forward_features(x) 2025-08-14T21:37:17.1077926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1077993Z x = self.blocks(x) 2025-08-14T21:37:17.1078233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.1078311Z x = self.conv_pwl(x) 2025-08-14T21:37:17.1078535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1078644Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1078885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1079028Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1079033Z 2025-08-14T21:37:17.1079126Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1079234Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1079444Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1079523Z return mod(*inputs) 2025-08-14T21:37:17.1079746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1079829Z x = self.forward_features(x) 2025-08-14T21:37:17.1080078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1080146Z x = self.blocks(x) 2025-08-14T21:37:17.1080394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.1080468Z x = self.conv_pwl(x) 2025-08-14T21:37:17.1080686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1080803Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1081031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1081146Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1081149Z 2025-08-14T21:37:17.1081235Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1081317Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1081437Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1081647Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1081716Z return mod(*inputs) 2025-08-14T21:37:17.1081953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1082028Z x = self.forward_features(x) 2025-08-14T21:37:17.1082285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1082354Z x = self.blocks(x) 2025-08-14T21:37:17.1082593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.1082671Z x = self.conv_pwl(x) 2025-08-14T21:37:17.1082891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.1082964Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.1083010Z 2025-08-14T21:37:17.1083121Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1083334Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1083410Z return mod(*inputs) 2025-08-14T21:37:17.1083639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1083712Z x = self.forward_features(x) 2025-08-14T21:37:17.1083976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1084042Z x = self.blocks(x) 2025-08-14T21:37:17.1084286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:37:17.1084374Z x = self.drop_path(x) + shortcut 2025-08-14T21:37:17.1084377Z 2025-08-14T21:37:17.1084485Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1084708Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1084777Z return mod(*inputs) 2025-08-14T21:37:17.1085003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1085122Z x = self.forward_features(x) 2025-08-14T21:37:17.1085375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1085450Z x = self.blocks(x) 2025-08-14T21:37:17.1085691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:17.1085758Z x = self.conv_pw(x) 2025-08-14T21:37:17.1085987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1086097Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1086334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1086450Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1086453Z 2025-08-14T21:37:17.1086563Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1086784Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1086853Z return mod(*inputs) 2025-08-14T21:37:17.1087078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1087159Z x = self.forward_features(x) 2025-08-14T21:37:17.1087447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1087544Z x = self.blocks(x) 2025-08-14T21:37:17.1087800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:17.1087874Z x = self.conv_pw(x) 2025-08-14T21:37:17.1088106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1088215Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1088450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1088566Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1088569Z 2025-08-14T21:37:17.1088656Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1088748Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1088855Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1089066Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1089145Z return mod(*inputs) 2025-08-14T21:37:17.1089418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1089491Z x = self.forward_features(x) 2025-08-14T21:37:17.1089756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1089828Z x = self.blocks(x) 2025-08-14T21:37:17.1090074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:17.1090142Z x = self.conv_pw(x) 2025-08-14T21:37:17.1090369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.1090449Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.1090453Z 2025-08-14T21:37:17.1090560Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1090766Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1090845Z return mod(*inputs) 2025-08-14T21:37:17.1091070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1091151Z x = self.forward_features(x) 2025-08-14T21:37:17.1091433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1091502Z x = self.blocks(x) 2025-08-14T21:37:17.1091750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:17.1091816Z x = self.bn1(x) 2025-08-14T21:37:17.1092029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:17.1092105Z x = F.batch_norm( 2025-08-14T21:37:17.1092109Z 2025-08-14T21:37:17.1092216Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1092429Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1092503Z return mod(*inputs) 2025-08-14T21:37:17.1092727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1092807Z x = self.forward_features(x) 2025-08-14T21:37:17.1093067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1093134Z x = self.blocks(x) 2025-08-14T21:37:17.1093383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:17.1093450Z x = self.bn1(x) 2025-08-14T21:37:17.1093669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:37:17.1093735Z x = self.act(x) 2025-08-14T21:37:17.1093739Z 2025-08-14T21:37:17.1093822Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1093938Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1094149Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1094220Z return mod(*inputs) 2025-08-14T21:37:17.1094453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1094531Z x = self.forward_features(x) 2025-08-14T21:37:17.1094788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1094855Z x = self.blocks(x) 2025-08-14T21:37:17.1095095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1095172Z x = self.conv_dw(x) 2025-08-14T21:37:17.1095394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1095502Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1095781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1095889Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1095892Z 2025-08-14T21:37:17.1095984Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1096095Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1096303Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1096379Z return mod(*inputs) 2025-08-14T21:37:17.1096841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1096930Z x = self.forward_features(x) 2025-08-14T21:37:17.1097189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1097259Z x = self.blocks(x) 2025-08-14T21:37:17.1097516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1097586Z x = self.conv_dw(x) 2025-08-14T21:37:17.1097806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1098012Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1098244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1098362Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1098366Z 2025-08-14T21:37:17.1098453Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1098560Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1098779Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1098850Z return mod(*inputs) 2025-08-14T21:37:17.1099078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1099163Z x = self.forward_features(x) 2025-08-14T21:37:17.1099411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1099489Z x = self.blocks(x) 2025-08-14T21:37:17.1099733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1099803Z x = self.conv_dw(x) 2025-08-14T21:37:17.1100031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1100138Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1100366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1100482Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1100488Z 2025-08-14T21:37:17.1100572Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1100689Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1100903Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1100977Z return mod(*inputs) 2025-08-14T21:37:17.1101213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1101287Z x = self.forward_features(x) 2025-08-14T21:37:17.1101544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1101611Z x = self.blocks(x) 2025-08-14T21:37:17.1101850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1101924Z x = self.conv_dw(x) 2025-08-14T21:37:17.1102201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1102309Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1102546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1102655Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1102659Z 2025-08-14T21:37:17.1102751Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1102832Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1102913Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1102999Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1103107Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1103312Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1103390Z return mod(*inputs) 2025-08-14T21:37:17.1103620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1103697Z x = self.forward_features(x) 2025-08-14T21:37:17.1103937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1104038Z x = self.blocks(x) 2025-08-14T21:37:17.1104281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1104346Z x = self.conv_dw(x) 2025-08-14T21:37:17.1104557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.1104634Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.1104638Z 2025-08-14T21:37:17.1104718Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1104828Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1105029Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1105100Z return mod(*inputs) 2025-08-14T21:37:17.1105322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1105394Z x = self.forward_features(x) 2025-08-14T21:37:17.1105637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1105710Z x = self.blocks(x) 2025-08-14T21:37:17.1105943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1106013Z x = self.se(x) 2025-08-14T21:37:17.1106245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:37:17.1106324Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:37:17.1106327Z 2025-08-14T21:37:17.1106440Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1106644Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1106712Z return mod(*inputs) 2025-08-14T21:37:17.1106936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1107013Z x = self.forward_features(x) 2025-08-14T21:37:17.1107260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1107327Z x = self.blocks(x) 2025-08-14T21:37:17.1107558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1107629Z x = self.se(x) 2025-08-14T21:37:17.1107861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:37:17.1107934Z x_se = self.conv_reduce(x_se) 2025-08-14T21:37:17.1107981Z 2025-08-14T21:37:17.1108086Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1108287Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1108362Z return mod(*inputs) 2025-08-14T21:37:17.1108581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1108654Z x = self.forward_features(x) 2025-08-14T21:37:17.1108901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1108966Z x = self.blocks(x) 2025-08-14T21:37:17.1109211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1109277Z x = self.se(x) 2025-08-14T21:37:17.1109512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:37:17.1109595Z x_se = self.act1(x_se) 2025-08-14T21:37:17.1109599Z 2025-08-14T21:37:17.1109706Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1109913Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1109991Z return mod(*inputs) 2025-08-14T21:37:17.1110271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1110358Z x = self.forward_features(x) 2025-08-14T21:37:17.1110609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1110678Z x = self.blocks(x) 2025-08-14T21:37:17.1110937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1111000Z x = self.se(x) 2025-08-14T21:37:17.1111235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:37:17.1111319Z x_se = self.conv_expand(x_se) 2025-08-14T21:37:17.1111322Z 2025-08-14T21:37:17.1111426Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1111635Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1111706Z return mod(*inputs) 2025-08-14T21:37:17.1111931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1112011Z x = self.forward_features(x) 2025-08-14T21:37:17.1112260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1112328Z x = self.blocks(x) 2025-08-14T21:37:17.1112569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1112631Z x = self.se(x) 2025-08-14T21:37:17.1112942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:17.1113022Z return x * self.gate(x_se) 2025-08-14T21:37:17.1113026Z 2025-08-14T21:37:17.1113134Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1113355Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1113423Z return mod(*inputs) 2025-08-14T21:37:17.1113654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1113728Z x = self.forward_features(x) 2025-08-14T21:37:17.1113984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1114059Z x = self.blocks(x) 2025-08-14T21:37:17.1114304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1114407Z x = self.se(x) 2025-08-14T21:37:17.1114653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:17.1114726Z return x * self.gate(x_se) 2025-08-14T21:37:17.1114730Z 2025-08-14T21:37:17.1114821Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1114929Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1115131Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1115207Z return mod(*inputs) 2025-08-14T21:37:17.1115430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1115502Z x = self.forward_features(x) 2025-08-14T21:37:17.1115760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1115828Z x = self.blocks(x) 2025-08-14T21:37:17.1116075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.1116145Z x = self.conv_pwl(x) 2025-08-14T21:37:17.1116362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1116514Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1116745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1116851Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1116863Z 2025-08-14T21:37:17.1116945Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1117048Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1117258Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1117325Z return mod(*inputs) 2025-08-14T21:37:17.1117552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1117635Z x = self.forward_features(x) 2025-08-14T21:37:17.1117886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1117955Z x = self.blocks(x) 2025-08-14T21:37:17.1118203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.1118275Z x = self.conv_pwl(x) 2025-08-14T21:37:17.1118501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1118610Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1118840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1118954Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1118961Z 2025-08-14T21:37:17.1119045Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1119133Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1119253Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1119461Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1119535Z return mod(*inputs) 2025-08-14T21:37:17.1119755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1119828Z x = self.forward_features(x) 2025-08-14T21:37:17.1120077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1120143Z x = self.blocks(x) 2025-08-14T21:37:17.1120383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.1120498Z x = self.conv_pwl(x) 2025-08-14T21:37:17.1120711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.1120788Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.1120792Z 2025-08-14T21:37:17.1120896Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1121102Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1121177Z return mod(*inputs) 2025-08-14T21:37:17.1121394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1121475Z x = self.forward_features(x) 2025-08-14T21:37:17.1121721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1121786Z x = self.blocks(x) 2025-08-14T21:37:17.1122026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:37:17.1122105Z x = self.drop_path(x) + shortcut 2025-08-14T21:37:17.1122109Z 2025-08-14T21:37:17.1122213Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1122421Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1122521Z return mod(*inputs) 2025-08-14T21:37:17.1122749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1122822Z x = self.forward_features(x) 2025-08-14T21:37:17.1123064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1123139Z x = self.blocks(x) 2025-08-14T21:37:17.1123375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:17.1123442Z x = self.conv_pw(x) 2025-08-14T21:37:17.1123670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1123776Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1124010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1124121Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1124124Z 2025-08-14T21:37:17.1124229Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1124442Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1124510Z return mod(*inputs) 2025-08-14T21:37:17.1124740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1124813Z x = self.forward_features(x) 2025-08-14T21:37:17.1125056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1125133Z x = self.blocks(x) 2025-08-14T21:37:17.1125368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:17.1125436Z x = self.conv_pw(x) 2025-08-14T21:37:17.1125662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1125769Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1126000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1126104Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1126108Z 2025-08-14T21:37:17.1126189Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1126277Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1126381Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1126621Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1126696Z return mod(*inputs) 2025-08-14T21:37:17.1126916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1127003Z x = self.forward_features(x) 2025-08-14T21:37:17.1127251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1127320Z x = self.blocks(x) 2025-08-14T21:37:17.1127573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:17.1127642Z x = self.conv_pw(x) 2025-08-14T21:37:17.1127855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.1127932Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.1127939Z 2025-08-14T21:37:17.1128045Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1128254Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1128322Z return mod(*inputs) 2025-08-14T21:37:17.1128573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1128656Z x = self.forward_features(x) 2025-08-14T21:37:17.1128901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1128974Z x = self.blocks(x) 2025-08-14T21:37:17.1129210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:17.1129276Z x = self.bn1(x) 2025-08-14T21:37:17.1129496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:17.1129568Z x = F.batch_norm( 2025-08-14T21:37:17.1129571Z 2025-08-14T21:37:17.1129680Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1129900Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1129969Z return mod(*inputs) 2025-08-14T21:37:17.1130210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1130283Z x = self.forward_features(x) 2025-08-14T21:37:17.1130525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1130598Z x = self.blocks(x) 2025-08-14T21:37:17.1130832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:17.1130897Z x = self.bn1(x) 2025-08-14T21:37:17.1131110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:37:17.1131178Z x = self.act(x) 2025-08-14T21:37:17.1131182Z 2025-08-14T21:37:17.1131271Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1131377Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1131584Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1131656Z return mod(*inputs) 2025-08-14T21:37:17.1131874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1131947Z x = self.forward_features(x) 2025-08-14T21:37:17.1132206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1132272Z x = self.blocks(x) 2025-08-14T21:37:17.1132514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1132580Z x = self.conv_dw(x) 2025-08-14T21:37:17.1132833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1132948Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1133171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1133275Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1133285Z 2025-08-14T21:37:17.1133369Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1133472Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1133681Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1133747Z return mod(*inputs) 2025-08-14T21:37:17.1133964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1134044Z x = self.forward_features(x) 2025-08-14T21:37:17.1134287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1134353Z x = self.blocks(x) 2025-08-14T21:37:17.1134597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1134698Z x = self.conv_dw(x) 2025-08-14T21:37:17.1134926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1135035Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1135264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1135378Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1135382Z 2025-08-14T21:37:17.1135466Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1135581Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1135801Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1135871Z return mod(*inputs) 2025-08-14T21:37:17.1136102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1136181Z x = self.forward_features(x) 2025-08-14T21:37:17.1136441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1136516Z x = self.blocks(x) 2025-08-14T21:37:17.1136749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1136824Z x = self.conv_dw(x) 2025-08-14T21:37:17.1137041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1137149Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1137391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1137499Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1137503Z 2025-08-14T21:37:17.1137587Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1137705Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1137916Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1137993Z return mod(*inputs) 2025-08-14T21:37:17.1138219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1138293Z x = self.forward_features(x) 2025-08-14T21:37:17.1138548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1138617Z x = self.blocks(x) 2025-08-14T21:37:17.1138896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1138973Z x = self.conv_dw(x) 2025-08-14T21:37:17.1139191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1139308Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1139542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1139650Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1139653Z 2025-08-14T21:37:17.1139757Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1139840Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1139927Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1140007Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1140114Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1140334Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1140403Z return mod(*inputs) 2025-08-14T21:37:17.1140633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1140759Z x = self.forward_features(x) 2025-08-14T21:37:17.1141028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1141104Z x = self.blocks(x) 2025-08-14T21:37:17.1141343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1141410Z x = self.conv_dw(x) 2025-08-14T21:37:17.1141638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.1141711Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.1141717Z 2025-08-14T21:37:17.1141800Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1141915Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1142125Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1142202Z return mod(*inputs) 2025-08-14T21:37:17.1142428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1142505Z x = self.forward_features(x) 2025-08-14T21:37:17.1142762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1142831Z x = self.blocks(x) 2025-08-14T21:37:17.1143068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1143142Z x = self.se(x) 2025-08-14T21:37:17.1143381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:37:17.1143471Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:37:17.1143475Z 2025-08-14T21:37:17.1143581Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1143789Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1143868Z return mod(*inputs) 2025-08-14T21:37:17.1144094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1144167Z x = self.forward_features(x) 2025-08-14T21:37:17.1144423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1144491Z x = self.blocks(x) 2025-08-14T21:37:17.1144735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1144800Z x = self.se(x) 2025-08-14T21:37:17.1145083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:37:17.1145165Z x_se = self.conv_reduce(x_se) 2025-08-14T21:37:17.1145169Z 2025-08-14T21:37:17.1145274Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1145482Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1145557Z return mod(*inputs) 2025-08-14T21:37:17.1145779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1145860Z x = self.forward_features(x) 2025-08-14T21:37:17.1146106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1146173Z x = self.blocks(x) 2025-08-14T21:37:17.1146419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1146486Z x = self.se(x) 2025-08-14T21:37:17.1146724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:37:17.1146804Z x_se = self.act1(x_se) 2025-08-14T21:37:17.1146808Z 2025-08-14T21:37:17.1146955Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1147176Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1147245Z return mod(*inputs) 2025-08-14T21:37:17.1147469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1147551Z x = self.forward_features(x) 2025-08-14T21:37:17.1147801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1147874Z x = self.blocks(x) 2025-08-14T21:37:17.1148114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1148184Z x = self.se(x) 2025-08-14T21:37:17.1148428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:37:17.1148504Z x_se = self.conv_expand(x_se) 2025-08-14T21:37:17.1148507Z 2025-08-14T21:37:17.1148618Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1148834Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1148904Z return mod(*inputs) 2025-08-14T21:37:17.1149138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1149213Z x = self.forward_features(x) 2025-08-14T21:37:17.1149463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1149548Z x = self.blocks(x) 2025-08-14T21:37:17.1149784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1149848Z x = self.se(x) 2025-08-14T21:37:17.1150086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:17.1150161Z return x * self.gate(x_se) 2025-08-14T21:37:17.1150164Z 2025-08-14T21:37:17.1150276Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1150481Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1150548Z return mod(*inputs) 2025-08-14T21:37:17.1150773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1150847Z x = self.forward_features(x) 2025-08-14T21:37:17.1151087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1151194Z x = self.blocks(x) 2025-08-14T21:37:17.1151430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1151501Z x = self.se(x) 2025-08-14T21:37:17.1151744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:17.1151819Z return x * self.gate(x_se) 2025-08-14T21:37:17.1151822Z 2025-08-14T21:37:17.1151912Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1152018Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1152235Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1152305Z return mod(*inputs) 2025-08-14T21:37:17.1152530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1152614Z x = self.forward_features(x) 2025-08-14T21:37:17.1152952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1153025Z x = self.blocks(x) 2025-08-14T21:37:17.1153273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.1153387Z x = self.conv_pwl(x) 2025-08-14T21:37:17.1153634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1153747Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1153986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1154106Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1154110Z 2025-08-14T21:37:17.1154195Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1154303Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1154542Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1154610Z return mod(*inputs) 2025-08-14T21:37:17.1154839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1154916Z x = self.forward_features(x) 2025-08-14T21:37:17.1155158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1155235Z x = self.blocks(x) 2025-08-14T21:37:17.1155468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.1155539Z x = self.conv_pwl(x) 2025-08-14T21:37:17.1155770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1155876Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1156108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1156212Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1156216Z 2025-08-14T21:37:17.1156298Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1156388Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1156493Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1156699Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1156774Z return mod(*inputs) 2025-08-14T21:37:17.1156997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1157077Z x = self.forward_features(x) 2025-08-14T21:37:17.1157330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1157460Z x = self.blocks(x) 2025-08-14T21:37:17.1157700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.1157769Z x = self.conv_pwl(x) 2025-08-14T21:37:17.1157990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.1158068Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.1158072Z 2025-08-14T21:37:17.1158176Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1158386Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1158453Z return mod(*inputs) 2025-08-14T21:37:17.1158670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1158747Z x = self.forward_features(x) 2025-08-14T21:37:17.1158997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1159073Z x = self.blocks(x) 2025-08-14T21:37:17.1159306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:37:17.1159381Z x = self.drop_path(x) + shortcut 2025-08-14T21:37:17.1159417Z 2025-08-14T21:37:17.1159531Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1159741Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1159808Z return mod(*inputs) 2025-08-14T21:37:17.1160037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1160109Z x = self.forward_features(x) 2025-08-14T21:37:17.1160366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1160434Z x = self.blocks(x) 2025-08-14T21:37:17.1160674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:17.1160748Z x = self.conv_pw(x) 2025-08-14T21:37:17.1160751Z 2025-08-14T21:37:17.1160854Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1161059Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1161135Z return mod(*inputs) 2025-08-14T21:37:17.1161353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1161431Z x = self.forward_features(x) 2025-08-14T21:37:17.1161681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1161747Z x = self.blocks(x) 2025-08-14T21:37:17.1161987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:17.1162055Z x = self.bn1(x) 2025-08-14T21:37:17.1162264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:17.1162336Z x = F.batch_norm( 2025-08-14T21:37:17.1162339Z 2025-08-14T21:37:17.1162447Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1162663Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1162732Z return mod(*inputs) 2025-08-14T21:37:17.1162958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1163041Z x = self.forward_features(x) 2025-08-14T21:37:17.1163298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1163371Z x = self.blocks(x) 2025-08-14T21:37:17.1163605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:17.1163708Z x = self.bn1(x) 2025-08-14T21:37:17.1163923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:37:17.1163986Z x = self.act(x) 2025-08-14T21:37:17.1163990Z 2025-08-14T21:37:17.1164076Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1164188Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1164391Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1164465Z return mod(*inputs) 2025-08-14T21:37:17.1164684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1164756Z x = self.forward_features(x) 2025-08-14T21:37:17.1165005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1165076Z x = self.blocks(x) 2025-08-14T21:37:17.1165317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1165393Z x = self.conv_dw(x) 2025-08-14T21:37:17.1165657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1165778Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1166006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1166115Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1166118Z 2025-08-14T21:37:17.1166210Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1166325Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1166529Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1166607Z return mod(*inputs) 2025-08-14T21:37:17.1166825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1166906Z x = self.forward_features(x) 2025-08-14T21:37:17.1167154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1167221Z x = self.blocks(x) 2025-08-14T21:37:17.1167471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1167538Z x = self.conv_dw(x) 2025-08-14T21:37:17.1167756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1167869Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1168098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1168216Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1168220Z 2025-08-14T21:37:17.1168303Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1168409Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1168629Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1168698Z return mod(*inputs) 2025-08-14T21:37:17.1168928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1169004Z x = self.forward_features(x) 2025-08-14T21:37:17.1169252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1169328Z x = self.blocks(x) 2025-08-14T21:37:17.1169567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1169669Z x = self.conv_dw(x) 2025-08-14T21:37:17.1169900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1170010Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1170247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1170354Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1170358Z 2025-08-14T21:37:17.1170441Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1170556Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1170767Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1170836Z return mod(*inputs) 2025-08-14T21:37:17.1171069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1171146Z x = self.forward_features(x) 2025-08-14T21:37:17.1171404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1171472Z x = self.blocks(x) 2025-08-14T21:37:17.1171749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1171827Z x = self.conv_dw(x) 2025-08-14T21:37:17.1172048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1172156Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1172393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1172498Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1172502Z 2025-08-14T21:37:17.1172593Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1172680Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1172760Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1172846Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1172952Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1173165Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1173241Z return mod(*inputs) 2025-08-14T21:37:17.1173465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1173543Z x = self.forward_features(x) 2025-08-14T21:37:17.1173788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1173855Z x = self.blocks(x) 2025-08-14T21:37:17.1174102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1174173Z x = self.conv_dw(x) 2025-08-14T21:37:17.1174391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.1174470Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.1174474Z 2025-08-14T21:37:17.1174554Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1174673Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1174882Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1174950Z return mod(*inputs) 2025-08-14T21:37:17.1175183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1175257Z x = self.forward_features(x) 2025-08-14T21:37:17.1175507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1175581Z x = self.blocks(x) 2025-08-14T21:37:17.1175821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1175930Z x = self.se(x) 2025-08-14T21:37:17.1176168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:37:17.1176247Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:37:17.1176254Z 2025-08-14T21:37:17.1176369Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1176578Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1176653Z return mod(*inputs) 2025-08-14T21:37:17.1176877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1176951Z x = self.forward_features(x) 2025-08-14T21:37:17.1177207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1177277Z x = self.blocks(x) 2025-08-14T21:37:17.1177516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1177590Z x = self.se(x) 2025-08-14T21:37:17.1177862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:37:17.1177949Z x_se = self.conv_reduce(x_se) 2025-08-14T21:37:17.1177953Z 2025-08-14T21:37:17.1178062Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1178271Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1178348Z return mod(*inputs) 2025-08-14T21:37:17.1178574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1178648Z x = self.forward_features(x) 2025-08-14T21:37:17.1178903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1178978Z x = self.blocks(x) 2025-08-14T21:37:17.1179226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1179291Z x = self.se(x) 2025-08-14T21:37:17.1179540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:37:17.1179618Z x_se = self.act1(x_se) 2025-08-14T21:37:17.1179622Z 2025-08-14T21:37:17.1179726Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1179929Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1180004Z return mod(*inputs) 2025-08-14T21:37:17.1180222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1180300Z x = self.forward_features(x) 2025-08-14T21:37:17.1180543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1180609Z x = self.blocks(x) 2025-08-14T21:37:17.1180848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1180909Z x = self.se(x) 2025-08-14T21:37:17.1181145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:37:17.1181227Z x_se = self.conv_expand(x_se) 2025-08-14T21:37:17.1181230Z 2025-08-14T21:37:17.1181335Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1181543Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1181610Z return mod(*inputs) 2025-08-14T21:37:17.1181829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1181946Z x = self.forward_features(x) 2025-08-14T21:37:17.1182190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1182263Z x = self.blocks(x) 2025-08-14T21:37:17.1182501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1182565Z x = self.se(x) 2025-08-14T21:37:17.1182805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:17.1182878Z return x * self.gate(x_se) 2025-08-14T21:37:17.1182882Z 2025-08-14T21:37:17.1182988Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1183200Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1183267Z return mod(*inputs) 2025-08-14T21:37:17.1183497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1183571Z x = self.forward_features(x) 2025-08-14T21:37:17.1183815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1183889Z x = self.blocks(x) 2025-08-14T21:37:17.1184163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1184230Z x = self.se(x) 2025-08-14T21:37:17.1184473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:17.1184545Z return x * self.gate(x_se) 2025-08-14T21:37:17.1184549Z 2025-08-14T21:37:17.1184662Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1184867Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1184935Z return mod(*inputs) 2025-08-14T21:37:17.1185164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1185236Z x = self.forward_features(x) 2025-08-14T21:37:17.1185478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1185554Z x = self.blocks(x) 2025-08-14T21:37:17.1185794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.1185872Z x = self.conv_pwl(x) 2025-08-14T21:37:17.1185875Z 2025-08-14T21:37:17.1185983Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1186192Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1186271Z return mod(*inputs) 2025-08-14T21:37:17.1186496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1186579Z x = self.forward_features(x) 2025-08-14T21:37:17.1186828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1186894Z x = self.blocks(x) 2025-08-14T21:37:17.1187153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-14T21:37:17.1187219Z x = self.bn3(x) 2025-08-14T21:37:17.1187431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:17.1187507Z x = F.batch_norm( 2025-08-14T21:37:17.1187511Z 2025-08-14T21:37:17.1187617Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1187830Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1187899Z return mod(*inputs) 2025-08-14T21:37:17.1188125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1188241Z x = self.forward_features(x) 2025-08-14T21:37:17.1188492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1188558Z x = self.blocks(x) 2025-08-14T21:37:17.1188809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:17.1188878Z x = self.conv_pw(x) 2025-08-14T21:37:17.1188881Z 2025-08-14T21:37:17.1188995Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1189202Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1189270Z return mod(*inputs) 2025-08-14T21:37:17.1189504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1189577Z x = self.forward_features(x) 2025-08-14T21:37:17.1189829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1189904Z x = self.blocks(x) 2025-08-14T21:37:17.1190144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:17.1190216Z x = self.bn1(x) 2025-08-14T21:37:17.1190473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:17.1190543Z x = F.batch_norm( 2025-08-14T21:37:17.1190547Z 2025-08-14T21:37:17.1190663Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1190876Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1190946Z return mod(*inputs) 2025-08-14T21:37:17.1191179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1191255Z x = self.forward_features(x) 2025-08-14T21:37:17.1191515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1191585Z x = self.blocks(x) 2025-08-14T21:37:17.1191829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:17.1191904Z x = self.bn1(x) 2025-08-14T21:37:17.1192118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:37:17.1192185Z x = self.act(x) 2025-08-14T21:37:17.1192196Z 2025-08-14T21:37:17.1192282Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1192391Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1192609Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1192677Z return mod(*inputs) 2025-08-14T21:37:17.1192985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1193078Z x = self.forward_features(x) 2025-08-14T21:37:17.1193328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1193405Z x = self.blocks(x) 2025-08-14T21:37:17.1193650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1193721Z x = self.conv_dw(x) 2025-08-14T21:37:17.1193951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1194074Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1194300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1194420Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1194465Z 2025-08-14T21:37:17.1194553Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1194667Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1194874Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1194942Z return mod(*inputs) 2025-08-14T21:37:17.1195178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1195254Z x = self.forward_features(x) 2025-08-14T21:37:17.1195515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1195589Z x = self.blocks(x) 2025-08-14T21:37:17.1195835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1195912Z x = self.conv_dw(x) 2025-08-14T21:37:17.1196142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1196255Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1196661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1196851Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1196855Z 2025-08-14T21:37:17.1196950Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1197061Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1197282Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1197357Z return mod(*inputs) 2025-08-14T21:37:17.1197578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1197650Z x = self.forward_features(x) 2025-08-14T21:37:17.1197908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1197979Z x = self.blocks(x) 2025-08-14T21:37:17.1198229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1198298Z x = self.conv_dw(x) 2025-08-14T21:37:17.1198523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1198642Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1198874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1198983Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1198986Z 2025-08-14T21:37:17.1199078Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1199186Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1199406Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1199478Z return mod(*inputs) 2025-08-14T21:37:17.1199703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1199789Z x = self.forward_features(x) 2025-08-14T21:37:17.1200048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1200117Z x = self.blocks(x) 2025-08-14T21:37:17.1200367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1200436Z x = self.conv_dw(x) 2025-08-14T21:37:17.1200670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1200776Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1201013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1201178Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1201182Z 2025-08-14T21:37:17.1201265Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1201348Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1201438Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1201518Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1201632Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1201841Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1201910Z return mod(*inputs) 2025-08-14T21:37:17.1202141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1202216Z x = self.forward_features(x) 2025-08-14T21:37:17.1202472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1202551Z x = self.blocks(x) 2025-08-14T21:37:17.1202791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1202866Z x = self.conv_dw(x) 2025-08-14T21:37:17.1203129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.1203205Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.1203209Z 2025-08-14T21:37:17.1203296Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1203404Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1203611Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1203687Z return mod(*inputs) 2025-08-14T21:37:17.1203911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1203998Z x = self.forward_features(x) 2025-08-14T21:37:17.1204255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1204323Z x = self.blocks(x) 2025-08-14T21:37:17.1204577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1204642Z x = self.se(x) 2025-08-14T21:37:17.1204883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:37:17.1204968Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:37:17.1204972Z 2025-08-14T21:37:17.1205081Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1205295Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1205366Z return mod(*inputs) 2025-08-14T21:37:17.1205588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1205675Z x = self.forward_features(x) 2025-08-14T21:37:17.1205926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1206002Z x = self.blocks(x) 2025-08-14T21:37:17.1206252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1206318Z x = self.se(x) 2025-08-14T21:37:17.1206563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:37:17.1206639Z x_se = self.conv_reduce(x_se) 2025-08-14T21:37:17.1206643Z 2025-08-14T21:37:17.1206750Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1206967Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1207038Z return mod(*inputs) 2025-08-14T21:37:17.1207310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1207383Z x = self.forward_features(x) 2025-08-14T21:37:17.1207635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1207712Z x = self.blocks(x) 2025-08-14T21:37:17.1207953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1208018Z x = self.se(x) 2025-08-14T21:37:17.1208270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:37:17.1208343Z x_se = self.act1(x_se) 2025-08-14T21:37:17.1208347Z 2025-08-14T21:37:17.1208461Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1208667Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1208739Z return mod(*inputs) 2025-08-14T21:37:17.1208969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1209043Z x = self.forward_features(x) 2025-08-14T21:37:17.1209328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1209405Z x = self.blocks(x) 2025-08-14T21:37:17.1209646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1209719Z x = self.se(x) 2025-08-14T21:37:17.1209960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:37:17.1210036Z x_se = self.conv_expand(x_se) 2025-08-14T21:37:17.1210039Z 2025-08-14T21:37:17.1210151Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1210361Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1210440Z return mod(*inputs) 2025-08-14T21:37:17.1210673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1210745Z x = self.forward_features(x) 2025-08-14T21:37:17.1210997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1211064Z x = self.blocks(x) 2025-08-14T21:37:17.1211301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1211373Z x = self.se(x) 2025-08-14T21:37:17.1211608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:17.1211689Z return x * self.gate(x_se) 2025-08-14T21:37:17.1211693Z 2025-08-14T21:37:17.1211797Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1212005Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1212079Z return mod(*inputs) 2025-08-14T21:37:17.1212298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1212375Z x = self.forward_features(x) 2025-08-14T21:37:17.1212627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1212693Z x = self.blocks(x) 2025-08-14T21:37:17.1212932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1212994Z x = self.se(x) 2025-08-14T21:37:17.1213226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:17.1213307Z return x * self.gate(x_se) 2025-08-14T21:37:17.1213351Z 2025-08-14T21:37:17.1213434Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1213539Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1213754Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1213824Z return mod(*inputs) 2025-08-14T21:37:17.1214059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1214135Z x = self.forward_features(x) 2025-08-14T21:37:17.1214384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1214467Z x = self.blocks(x) 2025-08-14T21:37:17.1214701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.1214770Z x = self.conv_pwl(x) 2025-08-14T21:37:17.1214993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1215105Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1215335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1215475Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1215480Z 2025-08-14T21:37:17.1215563Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1215675Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1215881Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1215953Z return mod(*inputs) 2025-08-14T21:37:17.1216173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1216245Z x = self.forward_features(x) 2025-08-14T21:37:17.1216490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1216560Z x = self.blocks(x) 2025-08-14T21:37:17.1216793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.1216869Z x = self.conv_pwl(x) 2025-08-14T21:37:17.1217086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1217199Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1217423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1217527Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1217530Z 2025-08-14T21:37:17.1217618Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1217698Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1217803Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1218015Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1218081Z return mod(*inputs) 2025-08-14T21:37:17.1218304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1218378Z x = self.forward_features(x) 2025-08-14T21:37:17.1218621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1218693Z x = self.blocks(x) 2025-08-14T21:37:17.1218930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.1219000Z x = self.conv_pwl(x) 2025-08-14T21:37:17.1219223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.1219293Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.1219330Z 2025-08-14T21:37:17.1219445Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1219646Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1219713Z return mod(*inputs) 2025-08-14T21:37:17.1219941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1220014Z x = self.forward_features(x) 2025-08-14T21:37:17.1220258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1220334Z x = self.blocks(x) 2025-08-14T21:37:17.1220566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:37:17.1220651Z x = self.drop_path(x) + shortcut 2025-08-14T21:37:17.1220655Z 2025-08-14T21:37:17.1220760Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1220962Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1221040Z return mod(*inputs) 2025-08-14T21:37:17.1221260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1221338Z x = self.forward_features(x) 2025-08-14T21:37:17.1221943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1222011Z x = self.blocks(x) 2025-08-14T21:37:17.1222259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:17.1222326Z x = self.conv_pw(x) 2025-08-14T21:37:17.1222329Z 2025-08-14T21:37:17.1222433Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1222646Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1222714Z return mod(*inputs) 2025-08-14T21:37:17.1222947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1223023Z x = self.forward_features(x) 2025-08-14T21:37:17.1223266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1223345Z x = self.blocks(x) 2025-08-14T21:37:17.1223584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:17.1223651Z x = self.bn1(x) 2025-08-14T21:37:17.1223870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:17.1223938Z x = F.batch_norm( 2025-08-14T21:37:17.1223942Z 2025-08-14T21:37:17.1224055Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1224259Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1224330Z return mod(*inputs) 2025-08-14T21:37:17.1224560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1224633Z x = self.forward_features(x) 2025-08-14T21:37:17.1224882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1224957Z x = self.blocks(x) 2025-08-14T21:37:17.1225197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:17.1225270Z x = self.bn1(x) 2025-08-14T21:37:17.1225494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:37:17.1225559Z x = self.act(x) 2025-08-14T21:37:17.1225562Z 2025-08-14T21:37:17.1225654Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1225759Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1226026Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1226101Z return mod(*inputs) 2025-08-14T21:37:17.1226321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1226403Z x = self.forward_features(x) 2025-08-14T21:37:17.1226645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1226710Z x = self.blocks(x) 2025-08-14T21:37:17.1226950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1227018Z x = self.conv_dw(x) 2025-08-14T21:37:17.1227233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1227350Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1227576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1227688Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1227691Z 2025-08-14T21:37:17.1227772Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1227911Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1228129Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1228197Z return mod(*inputs) 2025-08-14T21:37:17.1228427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1228502Z x = self.forward_features(x) 2025-08-14T21:37:17.1228756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1228828Z x = self.blocks(x) 2025-08-14T21:37:17.1229062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1229133Z x = self.conv_dw(x) 2025-08-14T21:37:17.1229359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1229468Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1229707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1229814Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1229817Z 2025-08-14T21:37:17.1229901Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1230013Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1230217Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1230285Z return mod(*inputs) 2025-08-14T21:37:17.1230514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1230591Z x = self.forward_features(x) 2025-08-14T21:37:17.1230844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1230912Z x = self.blocks(x) 2025-08-14T21:37:17.1231152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1231228Z x = self.conv_dw(x) 2025-08-14T21:37:17.1231449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1231555Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1231787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1231892Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1231931Z 2025-08-14T21:37:17.1232025Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1232135Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1232345Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1232422Z return mod(*inputs) 2025-08-14T21:37:17.1232650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1232800Z x = self.forward_features(x) 2025-08-14T21:37:17.1233067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1233135Z x = self.blocks(x) 2025-08-14T21:37:17.1233388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1233457Z x = self.conv_dw(x) 2025-08-14T21:37:17.1233683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1233804Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1234040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1234201Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1234206Z 2025-08-14T21:37:17.1234290Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1234374Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1234467Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1234548Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1234657Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1234879Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1234948Z return mod(*inputs) 2025-08-14T21:37:17.1235184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1235263Z x = self.forward_features(x) 2025-08-14T21:37:17.1235513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1235591Z x = self.blocks(x) 2025-08-14T21:37:17.1235835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1235903Z x = self.conv_dw(x) 2025-08-14T21:37:17.1236132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.1236206Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.1236210Z 2025-08-14T21:37:17.1236301Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1236411Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1236620Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1236703Z return mod(*inputs) 2025-08-14T21:37:17.1236930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1237005Z x = self.forward_features(x) 2025-08-14T21:37:17.1237267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1237337Z x = self.blocks(x) 2025-08-14T21:37:17.1237584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1237650Z x = self.se(x) 2025-08-14T21:37:17.1237891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:37:17.1237978Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:37:17.1237982Z 2025-08-14T21:37:17.1238089Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1238342Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1238418Z return mod(*inputs) 2025-08-14T21:37:17.1238642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1238722Z x = self.forward_features(x) 2025-08-14T21:37:17.1238970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1239039Z x = self.blocks(x) 2025-08-14T21:37:17.1239283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1239348Z x = self.se(x) 2025-08-14T21:37:17.1239583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:37:17.1239666Z x_se = self.conv_reduce(x_se) 2025-08-14T21:37:17.1239669Z 2025-08-14T21:37:17.1239779Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1239994Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1240063Z return mod(*inputs) 2025-08-14T21:37:17.1240325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1240410Z x = self.forward_features(x) 2025-08-14T21:37:17.1240659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1240735Z x = self.blocks(x) 2025-08-14T21:37:17.1240973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1241038Z x = self.se(x) 2025-08-14T21:37:17.1241284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:37:17.1241357Z x_se = self.act1(x_se) 2025-08-14T21:37:17.1241364Z 2025-08-14T21:37:17.1241474Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1241690Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1241759Z return mod(*inputs) 2025-08-14T21:37:17.1241994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1242068Z x = self.forward_features(x) 2025-08-14T21:37:17.1242314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1242390Z x = self.blocks(x) 2025-08-14T21:37:17.1242628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1242692Z x = self.se(x) 2025-08-14T21:37:17.1242944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:37:17.1243021Z x_se = self.conv_expand(x_se) 2025-08-14T21:37:17.1243024Z 2025-08-14T21:37:17.1243137Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1243338Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1243407Z return mod(*inputs) 2025-08-14T21:37:17.1243631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1243702Z x = self.forward_features(x) 2025-08-14T21:37:17.1243941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1244012Z x = self.blocks(x) 2025-08-14T21:37:17.1244245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1244313Z x = self.se(x) 2025-08-14T21:37:17.1244544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:17.1244653Z return x * self.gate(x_se) 2025-08-14T21:37:17.1244656Z 2025-08-14T21:37:17.1244770Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1244978Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1245053Z return mod(*inputs) 2025-08-14T21:37:17.1245273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1245348Z x = self.forward_features(x) 2025-08-14T21:37:17.1245598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1245664Z x = self.blocks(x) 2025-08-14T21:37:17.1245895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1245968Z x = self.se(x) 2025-08-14T21:37:17.1246197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:17.1246277Z return x * self.gate(x_se) 2025-08-14T21:37:17.1246281Z 2025-08-14T21:37:17.1246362Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1246502Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1246714Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1246782Z return mod(*inputs) 2025-08-14T21:37:17.1247001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1247081Z x = self.forward_features(x) 2025-08-14T21:37:17.1247322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1247394Z x = self.blocks(x) 2025-08-14T21:37:17.1247628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.1247702Z x = self.conv_pwl(x) 2025-08-14T21:37:17.1247930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1248042Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1248266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1248383Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1248387Z 2025-08-14T21:37:17.1248469Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1248581Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1248788Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1248856Z return mod(*inputs) 2025-08-14T21:37:17.1249083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1249158Z x = self.forward_features(x) 2025-08-14T21:37:17.1249403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1249477Z x = self.blocks(x) 2025-08-14T21:37:17.1249715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.1249791Z x = self.conv_pwl(x) 2025-08-14T21:37:17.1250004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1250111Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1250346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1250451Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1250488Z 2025-08-14T21:37:17.1250578Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1250660Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1250764Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1250987Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1251056Z return mod(*inputs) 2025-08-14T21:37:17.1251276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1251355Z x = self.forward_features(x) 2025-08-14T21:37:17.1251600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1251672Z x = self.blocks(x) 2025-08-14T21:37:17.1251909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.1251978Z x = self.conv_pwl(x) 2025-08-14T21:37:17.1252203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.1252273Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.1252277Z 2025-08-14T21:37:17.1252381Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1252664Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1252733Z return mod(*inputs) 2025-08-14T21:37:17.1252963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1253037Z x = self.forward_features(x) 2025-08-14T21:37:17.1253282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1253353Z x = self.blocks(x) 2025-08-14T21:37:17.1253588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:37:17.1253667Z x = self.drop_path(x) + shortcut 2025-08-14T21:37:17.1253671Z 2025-08-14T21:37:17.1253783Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1253988Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1254065Z return mod(*inputs) 2025-08-14T21:37:17.1254285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1254357Z x = self.forward_features(x) 2025-08-14T21:37:17.1254608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1254674Z x = self.blocks(x) 2025-08-14T21:37:17.1254913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:37:17.1254986Z x = self.conv_pw(x) 2025-08-14T21:37:17.1254989Z 2025-08-14T21:37:17.1255097Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1255310Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1255379Z return mod(*inputs) 2025-08-14T21:37:17.1255598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1255677Z x = self.forward_features(x) 2025-08-14T21:37:17.1255918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1255990Z x = self.blocks(x) 2025-08-14T21:37:17.1256224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:17.1256290Z x = self.bn1(x) 2025-08-14T21:37:17.1256509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:37:17.1256575Z x = F.batch_norm( 2025-08-14T21:37:17.1256613Z 2025-08-14T21:37:17.1256719Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1256929Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1256995Z return mod(*inputs) 2025-08-14T21:37:17.1257223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1257294Z x = self.forward_features(x) 2025-08-14T21:37:17.1257535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1257607Z x = self.blocks(x) 2025-08-14T21:37:17.1257841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:37:17.1257904Z x = self.bn1(x) 2025-08-14T21:37:17.1258117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:37:17.1258184Z x = self.act(x) 2025-08-14T21:37:17.1258187Z 2025-08-14T21:37:17.1258275Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1258379Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1258583Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1258699Z return mod(*inputs) 2025-08-14T21:37:17.1258918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1258989Z x = self.forward_features(x) 2025-08-14T21:37:17.1259237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1259303Z x = self.blocks(x) 2025-08-14T21:37:17.1259544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1259610Z x = self.conv_dw(x) 2025-08-14T21:37:17.1259823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1259938Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1260163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1260270Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1260281Z 2025-08-14T21:37:17.1260362Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1260465Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1260677Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1260744Z return mod(*inputs) 2025-08-14T21:37:17.1260960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1261042Z x = self.forward_features(x) 2025-08-14T21:37:17.1261284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1261349Z x = self.blocks(x) 2025-08-14T21:37:17.1261589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1261659Z x = self.conv_dw(x) 2025-08-14T21:37:17.1261877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1261982Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1262203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1262315Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1262318Z 2025-08-14T21:37:17.1262399Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1262509Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1262752Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1262819Z return mod(*inputs) 2025-08-14T21:37:17.1263044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1263122Z x = self.forward_features(x) 2025-08-14T21:37:17.1263365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1263439Z x = self.blocks(x) 2025-08-14T21:37:17.1263672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1263744Z x = self.conv_dw(x) 2025-08-14T21:37:17.1263958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1264062Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1264294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1264396Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1264399Z 2025-08-14T21:37:17.1264481Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1264625Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1264833Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1264909Z return mod(*inputs) 2025-08-14T21:37:17.1265128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1265202Z x = self.forward_features(x) 2025-08-14T21:37:17.1265451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1265517Z x = self.blocks(x) 2025-08-14T21:37:17.1265755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1265828Z x = self.conv_dw(x) 2025-08-14T21:37:17.1266040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1266152Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1266376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1266478Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1266482Z 2025-08-14T21:37:17.1266570Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1266651Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1266737Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1266814Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1266920Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1267136Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1267203Z return mod(*inputs) 2025-08-14T21:37:17.1267424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1267510Z x = self.forward_features(x) 2025-08-14T21:37:17.1267754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1267827Z x = self.blocks(x) 2025-08-14T21:37:17.1268065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:37:17.1268132Z x = self.conv_dw(x) 2025-08-14T21:37:17.1268353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.1268424Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.1268428Z 2025-08-14T21:37:17.1268541Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1268652Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1268862Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1268936Z return mod(*inputs) 2025-08-14T21:37:17.1269156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1269230Z x = self.forward_features(x) 2025-08-14T21:37:17.1269480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1269545Z x = self.blocks(x) 2025-08-14T21:37:17.1269780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1269852Z x = self.se(x) 2025-08-14T21:37:17.1270084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:37:17.1270170Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:37:17.1270174Z 2025-08-14T21:37:17.1270280Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1270482Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1270593Z return mod(*inputs) 2025-08-14T21:37:17.1270818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1270891Z x = self.forward_features(x) 2025-08-14T21:37:17.1271138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1271204Z x = self.blocks(x) 2025-08-14T21:37:17.1271444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1271507Z x = self.se(x) 2025-08-14T21:37:17.1271744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:37:17.1271826Z x_se = self.conv_reduce(x_se) 2025-08-14T21:37:17.1271829Z 2025-08-14T21:37:17.1271934Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1272141Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1272214Z return mod(*inputs) 2025-08-14T21:37:17.1272440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1272523Z x = self.forward_features(x) 2025-08-14T21:37:17.1272871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1272947Z x = self.blocks(x) 2025-08-14T21:37:17.1273192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1273260Z x = self.se(x) 2025-08-14T21:37:17.1273496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:37:17.1273578Z x_se = self.act1(x_se) 2025-08-14T21:37:17.1273582Z 2025-08-14T21:37:17.1273691Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1273915Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1273985Z return mod(*inputs) 2025-08-14T21:37:17.1274212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1274308Z x = self.forward_features(x) 2025-08-14T21:37:17.1274550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1274627Z x = self.blocks(x) 2025-08-14T21:37:17.1274861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1274967Z x = self.se(x) 2025-08-14T21:37:17.1275212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:37:17.1275288Z x_se = self.conv_expand(x_se) 2025-08-14T21:37:17.1275291Z 2025-08-14T21:37:17.1275400Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1275616Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1275687Z return mod(*inputs) 2025-08-14T21:37:17.1275921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1275995Z x = self.forward_features(x) 2025-08-14T21:37:17.1276244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1276320Z x = self.blocks(x) 2025-08-14T21:37:17.1276564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1276628Z x = self.se(x) 2025-08-14T21:37:17.1276873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:17.1276980Z return x * self.gate(x_se) 2025-08-14T21:37:17.1276985Z 2025-08-14T21:37:17.1277102Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1277311Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1277380Z return mod(*inputs) 2025-08-14T21:37:17.1277609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1277683Z x = self.forward_features(x) 2025-08-14T21:37:17.1277930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1278007Z x = self.blocks(x) 2025-08-14T21:37:17.1278245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:37:17.1278318Z x = self.se(x) 2025-08-14T21:37:17.1278557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:37:17.1278633Z return x * self.gate(x_se) 2025-08-14T21:37:17.1278637Z 2025-08-14T21:37:17.1278729Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1278836Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1279052Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1279121Z return mod(*inputs) 2025-08-14T21:37:17.1279345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1279426Z x = self.forward_features(x) 2025-08-14T21:37:17.1279674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1279741Z x = self.blocks(x) 2025-08-14T21:37:17.1279991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.1280066Z x = self.conv_pwl(x) 2025-08-14T21:37:17.1280294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1280406Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1280636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1280754Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1280758Z 2025-08-14T21:37:17.1280843Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1280949Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1281200Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1281272Z return mod(*inputs) 2025-08-14T21:37:17.1281502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1281579Z x = self.forward_features(x) 2025-08-14T21:37:17.1281829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1281905Z x = self.blocks(x) 2025-08-14T21:37:17.1282143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.1282216Z x = self.conv_pwl(x) 2025-08-14T21:37:17.1282447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:37:17.1282556Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1282793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:37:17.1282901Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:37:17.1282904Z 2025-08-14T21:37:17.1282987Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1283125Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1283237Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1283446Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1283521Z return mod(*inputs) 2025-08-14T21:37:17.1283744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1283828Z x = self.forward_features(x) 2025-08-14T21:37:17.1284077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1284148Z x = self.blocks(x) 2025-08-14T21:37:17.1284396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:37:17.1284468Z x = self.conv_pwl(x) 2025-08-14T21:37:17.1284689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:37:17.1284769Z x = torch.cat(x_out, 1) 2025-08-14T21:37:17.1284773Z 2025-08-14T21:37:17.1284879Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1285094Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1285163Z return mod(*inputs) 2025-08-14T21:37:17.1285385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1285468Z x = self.forward_features(x) 2025-08-14T21:37:17.1285717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:37:17.1285795Z x = self.blocks(x) 2025-08-14T21:37:17.1286031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:37:17.1286109Z x = self.drop_path(x) + shortcut 2025-08-14T21:37:17.1286113Z 2025-08-14T21:37:17.1286231Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1286439Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1286509Z return mod(*inputs) 2025-08-14T21:37:17.1286743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:37:17.1286816Z x = self.forward_features(x) 2025-08-14T21:37:17.1287070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 257, in forward_features 2025-08-14T21:37:17.1287143Z x = self.conv_head(x) 2025-08-14T21:37:17.1287179Z 2025-08-14T21:37:17.1287263Z cudagraph partition due to non gpu ops 2025-08-14T21:37:17.1287378Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1287589Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1287658Z return mod(*inputs) 2025-08-14T21:37:17.1287907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-08-14T21:37:17.1287981Z x = self.forward_head(x) 2025-08-14T21:37:17.1288223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 262, in forward_head 2025-08-14T21:37:17.1288295Z x = self.global_pool(x) 2025-08-14T21:37:17.1288536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward 2025-08-14T21:37:17.1288612Z x = self.pool(x) 2025-08-14T21:37:17.1288616Z 2025-08-14T21:37:17.1288725Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:37:17.1288927Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:37:17.1289003Z return mod(*inputs) 2025-08-14T21:37:17.1289223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-08-14T21:37:17.1289338Z x = self.forward_head(x) 2025-08-14T21:37:17.1289574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 265, in forward_head 2025-08-14T21:37:17.1289677Z return x if pre_logits else self.classifier(x) 2025-08-14T21:37:17.1289681Z 2025-08-14T21:37:40.7104482Z Compilation time (from dynamo_timed): 37.688247857 2025-08-14T21:37:40.7106997Z pass 2025-08-14T21:37:40.7108127Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:37:40.7109051Z TIMING: _recursive_pre_grad_passes:0.01149 _recursive_joint_graph_passes:0.51529 _recursive_post_grad_passes:0.14659 async_compile.wait:0.93135 code_gen:22.78266 inductor_compile:25.55024 backend_compile:31.29495 gc:0.00035 entire_frame_compile:37.68825 total_wall_time:37.68825 2025-08-14T21:37:40.7110118Z STATS: call_* op count: 521 | FakeTensorMode.__torch_dispatch__:17856 | FakeTensor.__torch_dispatch__:9664 | ProxyTorchDispatchMode.__torch_dispatch__:7333 2025-08-14T21:37:40.7110695Z Dynamo produced 1 graphs covering 521 ops with 0 graph breaks (0 unique) 2025-08-14T21:37:45.9283695Z 2025-08-14T21:37:46.0330656Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:37:46.0330907Z 2025-08-14T21:37:46.1844109Z model.safetensors: 0% 0.00/17.7M [00:00 2025-08-14T21:52:55.2218946Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2219113Z 2025-08-14T21:52:55.2219198Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2219452Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2219826Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2220172Z return mod(*inputs) 2025-08-14T21:52:55.2220501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2220877Z x = self.forward_features(x) 2025-08-14T21:52:55.2221262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2221645Z x = self.blocks(x) 2025-08-14T21:52:55.2222008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:52:55.2222393Z x = self.conv_pw(x) 2025-08-14T21:52:55.2222757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2223168Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2223583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2224010Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2224177Z 2025-08-14T21:52:55.2224261Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2224489Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2224740Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2225137Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2225474Z return mod(*inputs) 2025-08-14T21:52:55.2225812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2226192Z x = self.forward_features(x) 2025-08-14T21:52:55.2226572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2226964Z x = self.blocks(x) 2025-08-14T21:52:55.2227322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:52:55.2227740Z x = self.conv_pw(x) 2025-08-14T21:52:55.2228071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.2228439Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.2228563Z 2025-08-14T21:52:55.2228684Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2229066Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2229418Z return mod(*inputs) 2025-08-14T21:52:55.2229759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2230135Z x = self.forward_features(x) 2025-08-14T21:52:55.2230512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2230904Z x = self.blocks(x) 2025-08-14T21:52:55.2231266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:52:55.2231641Z x = self.bn1(x) 2025-08-14T21:52:55.2231963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:52:55.2232333Z x = self.act(x) 2025-08-14T21:52:55.2232435Z 2025-08-14T21:52:55.2232557Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2233031Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2233394Z return mod(*inputs) 2025-08-14T21:52:55.2233743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2234108Z x = self.forward_features(x) 2025-08-14T21:52:55.2234491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2234883Z x = self.blocks(x) 2025-08-14T21:52:55.2235246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2235625Z x = self.conv_dw(x) 2025-08-14T21:52:55.2235964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2236373Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2236776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2237200Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2237598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:52:55.2237954Z return conv2d_same( 2025-08-14T21:52:55.2240832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:52:55.2241258Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:52:55.2241648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:52:55.2242092Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:52:55.2242542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:52:55.2242930Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:52:55.2243097Z 2025-08-14T21:52:55.2243471Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2243852Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2244205Z return mod(*inputs) 2025-08-14T21:52:55.2244552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2244977Z x = self.forward_features(x) 2025-08-14T21:52:55.2245368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2245774Z x = self.blocks(x) 2025-08-14T21:52:55.2246129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2246516Z x = self.conv_dw(x) 2025-08-14T21:52:55.2246866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2247284Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2247688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2248107Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2248506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:52:55.2248873Z return conv2d_same( 2025-08-14T21:52:55.2249208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:52:55.2249648Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:52:55.2249844Z 2025-08-14T21:52:55.2249988Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2250383Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2250747Z return mod(*inputs) 2025-08-14T21:52:55.2251099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2251493Z x = self.forward_features(x) 2025-08-14T21:52:55.2251872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2252266Z x = self.blocks(x) 2025-08-14T21:52:55.2252635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2253011Z x = self.conv_dw(x) 2025-08-14T21:52:55.2253347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2253761Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2254174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2254578Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2254975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:52:55.2255333Z return conv2d_same( 2025-08-14T21:52:55.2255671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:52:55.2256166Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:52:55.2256543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:52:55.2256980Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:52:55.2257418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:52:55.2257805Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:52:55.2257978Z 2025-08-14T21:52:55.2258094Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2258483Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2258827Z return mod(*inputs) 2025-08-14T21:52:55.2259175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2259552Z x = self.forward_features(x) 2025-08-14T21:52:55.2259954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2260357Z x = self.blocks(x) 2025-08-14T21:52:55.2260718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2261107Z x = self.conv_dw(x) 2025-08-14T21:52:55.2261442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2261847Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2262260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2262658Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2263064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:52:55.2263415Z return conv2d_same( 2025-08-14T21:52:55.2263751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:52:55.2264172Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:52:55.2264369Z 2025-08-14T21:52:55.2264519Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2264903Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2265253Z return mod(*inputs) 2025-08-14T21:52:55.2265587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2265968Z x = self.forward_features(x) 2025-08-14T21:52:55.2266366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2266759Z x = self.blocks(x) 2025-08-14T21:52:55.2267118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2267498Z x = self.conv_dw(x) 2025-08-14T21:52:55.2267833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2268237Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2268643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2269057Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2269446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:52:55.2269817Z return conv2d_same( 2025-08-14T21:52:55.2270159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:52:55.2270614Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:52:55.2271015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:52:55.2271449Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:52:55.2271882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:52:55.2272294Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:52:55.2272462Z 2025-08-14T21:52:55.2272574Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2273077Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2273429Z return mod(*inputs) 2025-08-14T21:52:55.2273768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2274149Z x = self.forward_features(x) 2025-08-14T21:52:55.2274550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2274975Z x = self.blocks(x) 2025-08-14T21:52:55.2275334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2275717Z x = self.conv_dw(x) 2025-08-14T21:52:55.2276059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2276457Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2276866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2277282Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2277675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:52:55.2278027Z return conv2d_same( 2025-08-14T21:52:55.2278372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:52:55.2278810Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:52:55.2279005Z 2025-08-14T21:52:55.2279093Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2279346Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2279578Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2279837Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2280225Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2280570Z return mod(*inputs) 2025-08-14T21:52:55.2280912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2281293Z x = self.forward_features(x) 2025-08-14T21:52:55.2281683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2282073Z x = self.blocks(x) 2025-08-14T21:52:55.2282434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2282807Z x = self.conv_dw(x) 2025-08-14T21:52:55.2283146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.2283527Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.2283650Z 2025-08-14T21:52:55.2283764Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2284154Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2284522Z return mod(*inputs) 2025-08-14T21:52:55.2284863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2285257Z x = self.forward_features(x) 2025-08-14T21:52:55.2285644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2286040Z x = self.blocks(x) 2025-08-14T21:52:55.2286389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:52:55.2286768Z x = self.bn2(x) 2025-08-14T21:52:55.2287112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:52:55.2287463Z x = self.act(x) 2025-08-14T21:52:55.2287562Z 2025-08-14T21:52:55.2287675Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2288066Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2288417Z return mod(*inputs) 2025-08-14T21:52:55.2288752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2289127Z x = self.forward_features(x) 2025-08-14T21:52:55.2289543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2289928Z x = self.blocks(x) 2025-08-14T21:52:55.2290282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.2290659Z x = self.conv_pwl(x) 2025-08-14T21:52:55.2290998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2291385Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2291784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2292185Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2292355Z 2025-08-14T21:52:55.2292474Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2292855Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2293224Z return mod(*inputs) 2025-08-14T21:52:55.2293570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2293939Z x = self.forward_features(x) 2025-08-14T21:52:55.2294341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2294732Z x = self.blocks(x) 2025-08-14T21:52:55.2295087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.2295470Z x = self.conv_pwl(x) 2025-08-14T21:52:55.2295803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2296190Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2296738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2297141Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2297314Z 2025-08-14T21:52:55.2297400Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2297631Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2297875Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2298252Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2298592Z return mod(*inputs) 2025-08-14T21:52:55.2298926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2299303Z x = self.forward_features(x) 2025-08-14T21:52:55.2299684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2300139Z x = self.blocks(x) 2025-08-14T21:52:55.2300500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.2300891Z x = self.conv_pwl(x) 2025-08-14T21:52:55.2301232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.2301591Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.2301711Z 2025-08-14T21:52:55.2301854Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2302238Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2302590Z return mod(*inputs) 2025-08-14T21:52:55.2302927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2303298Z x = self.forward_features(x) 2025-08-14T21:52:55.2303681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2304104Z x = self.blocks(x) 2025-08-14T21:52:55.2304454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-14T21:52:55.2304832Z x = self.bn3(x) 2025-08-14T21:52:55.2305159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:52:55.2305517Z x = F.batch_norm( 2025-08-14T21:52:55.2305636Z 2025-08-14T21:52:55.2305744Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2306136Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2306508Z return mod(*inputs) 2025-08-14T21:52:55.2306850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2307220Z x = self.forward_features(x) 2025-08-14T21:52:55.2307614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2308012Z x = self.blocks(x) 2025-08-14T21:52:55.2308374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:52:55.2308754Z x = self.conv_pw(x) 2025-08-14T21:52:55.2309128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2309535Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2309948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2310363Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2310539Z 2025-08-14T21:52:55.2310660Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2311049Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2311414Z return mod(*inputs) 2025-08-14T21:52:55.2311753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2312125Z x = self.forward_features(x) 2025-08-14T21:52:55.2312517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2312991Z x = self.blocks(x) 2025-08-14T21:52:55.2313376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:52:55.2313760Z x = self.conv_pw(x) 2025-08-14T21:52:55.2314102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2314509Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2314915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2315362Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2315545Z 2025-08-14T21:52:55.2315633Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2315868Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2316122Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2316551Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2316919Z return mod(*inputs) 2025-08-14T21:52:55.2317255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2317637Z x = self.forward_features(x) 2025-08-14T21:52:55.2318024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2318426Z x = self.blocks(x) 2025-08-14T21:52:55.2318779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:52:55.2319194Z x = self.conv_pw(x) 2025-08-14T21:52:55.2319533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.2319910Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.2320039Z 2025-08-14T21:52:55.2320153Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2320546Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2320896Z return mod(*inputs) 2025-08-14T21:52:55.2321226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2321615Z x = self.forward_features(x) 2025-08-14T21:52:55.2322012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2322402Z x = self.blocks(x) 2025-08-14T21:52:55.2322765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:52:55.2323162Z x = self.bn1(x) 2025-08-14T21:52:55.2323486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:52:55.2323837Z x = self.act(x) 2025-08-14T21:52:55.2323945Z 2025-08-14T21:52:55.2324072Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2324450Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2324781Z return mod(*inputs) 2025-08-14T21:52:55.2325112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2325469Z x = self.forward_features(x) 2025-08-14T21:52:55.2325843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2326213Z x = self.blocks(x) 2025-08-14T21:52:55.2326558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2326928Z x = self.conv_dw(x) 2025-08-14T21:52:55.2327031Z 2025-08-14T21:52:55.2327137Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2327517Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2327849Z return mod(*inputs) 2025-08-14T21:52:55.2328177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2328528Z x = self.forward_features(x) 2025-08-14T21:52:55.2328899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2329276Z x = self.blocks(x) 2025-08-14T21:52:55.2329611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:52:55.2330010Z x = self.bn2(x) 2025-08-14T21:52:55.2330323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:52:55.2330661Z x = self.act(x) 2025-08-14T21:52:55.2330759Z 2025-08-14T21:52:55.2330867Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2331263Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2331610Z return mod(*inputs) 2025-08-14T21:52:55.2331935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2332300Z x = self.forward_features(x) 2025-08-14T21:52:55.2332679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2333138Z x = self.blocks(x) 2025-08-14T21:52:55.2333490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.2333888Z x = self.conv_pwl(x) 2025-08-14T21:52:55.2334225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2334612Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2335018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2335427Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2335596Z 2025-08-14T21:52:55.2335714Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2336082Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2336423Z return mod(*inputs) 2025-08-14T21:52:55.2336754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2337117Z x = self.forward_features(x) 2025-08-14T21:52:55.2337482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2337862Z x = self.blocks(x) 2025-08-14T21:52:55.2338225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.2338595Z x = self.conv_pwl(x) 2025-08-14T21:52:55.2338938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2339328Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2339726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2340121Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2340298Z 2025-08-14T21:52:55.2340384Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2340614Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2340859Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2341235Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2341581Z return mod(*inputs) 2025-08-14T21:52:55.2341921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2342288Z x = self.forward_features(x) 2025-08-14T21:52:55.2342669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2343059Z x = self.blocks(x) 2025-08-14T21:52:55.2343415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.2343788Z x = self.conv_pwl(x) 2025-08-14T21:52:55.2344151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.2344504Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.2344623Z 2025-08-14T21:52:55.2344731Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2345106Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2345456Z return mod(*inputs) 2025-08-14T21:52:55.2345807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2346190Z x = self.forward_features(x) 2025-08-14T21:52:55.2346575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2346966Z x = self.blocks(x) 2025-08-14T21:52:55.2347314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:52:55.2347707Z x = self.drop_path(x) + shortcut 2025-08-14T21:52:55.2347870Z 2025-08-14T21:52:55.2347993Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2348371Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2348720Z return mod(*inputs) 2025-08-14T21:52:55.2349064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2349446Z x = self.forward_features(x) 2025-08-14T21:52:55.2349825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2350209Z x = self.blocks(x) 2025-08-14T21:52:55.2350562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:52:55.2350963Z x = self.conv_pw(x) 2025-08-14T21:52:55.2351079Z 2025-08-14T21:52:55.2351193Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2351593Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2351949Z return mod(*inputs) 2025-08-14T21:52:55.2352290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2352663Z x = self.forward_features(x) 2025-08-14T21:52:55.2353179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2353582Z x = self.blocks(x) 2025-08-14T21:52:55.2353943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:52:55.2354339Z x = self.bn1(x) 2025-08-14T21:52:55.2354662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:52:55.2355016Z x = F.batch_norm( 2025-08-14T21:52:55.2355133Z 2025-08-14T21:52:55.2355244Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2355633Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2355985Z return mod(*inputs) 2025-08-14T21:52:55.2356325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2356740Z x = self.forward_features(x) 2025-08-14T21:52:55.2357190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2357586Z x = self.blocks(x) 2025-08-14T21:52:55.2357941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:52:55.2358329Z x = self.bn1(x) 2025-08-14T21:52:55.2358643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:52:55.2359065Z x = self.act(x) 2025-08-14T21:52:55.2359172Z 2025-08-14T21:52:55.2359286Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2359680Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2360018Z return mod(*inputs) 2025-08-14T21:52:55.2360358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2360762Z x = self.forward_features(x) 2025-08-14T21:52:55.2361141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2361540Z x = self.blocks(x) 2025-08-14T21:52:55.2361893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2362282Z x = self.conv_dw(x) 2025-08-14T21:52:55.2362614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2363021Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2363461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2363872Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2364252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:52:55.2364610Z return conv2d_same( 2025-08-14T21:52:55.2364947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:52:55.2365336Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:52:55.2365713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:52:55.2366137Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:52:55.2366546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:52:55.2366906Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:52:55.2367072Z 2025-08-14T21:52:55.2367182Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2367589Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2367923Z return mod(*inputs) 2025-08-14T21:52:55.2368260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2368624Z x = self.forward_features(x) 2025-08-14T21:52:55.2368997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2369373Z x = self.blocks(x) 2025-08-14T21:52:55.2369724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2370101Z x = self.conv_dw(x) 2025-08-14T21:52:55.2370420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2370825Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2371242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2371645Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2372026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:52:55.2372374Z return conv2d_same( 2025-08-14T21:52:55.2372707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:52:55.2373148Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:52:55.2373367Z 2025-08-14T21:52:55.2373480Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2373870Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2374224Z return mod(*inputs) 2025-08-14T21:52:55.2374551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2374910Z x = self.forward_features(x) 2025-08-14T21:52:55.2375306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2375691Z x = self.blocks(x) 2025-08-14T21:52:55.2376030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2376414Z x = self.conv_dw(x) 2025-08-14T21:52:55.2376747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2377148Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2377577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2377970Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2378355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:52:55.2378693Z return conv2d_same( 2025-08-14T21:52:55.2379028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:52:55.2379424Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:52:55.2379789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:52:55.2380206Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:52:55.2380610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:52:55.2380979Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:52:55.2381137Z 2025-08-14T21:52:55.2381246Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2381620Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2381972Z return mod(*inputs) 2025-08-14T21:52:55.2382312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2382670Z x = self.forward_features(x) 2025-08-14T21:52:55.2383041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2383424Z x = self.blocks(x) 2025-08-14T21:52:55.2383766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2384135Z x = self.conv_dw(x) 2025-08-14T21:52:55.2384461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2384850Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2385238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2385635Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2386020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:52:55.2386358Z return conv2d_same( 2025-08-14T21:52:55.2386688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:52:55.2387110Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:52:55.2387297Z 2025-08-14T21:52:55.2387416Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2387815Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2388160Z return mod(*inputs) 2025-08-14T21:52:55.2388491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2388854Z x = self.forward_features(x) 2025-08-14T21:52:55.2389237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2389615Z x = self.blocks(x) 2025-08-14T21:52:55.2389962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2390320Z x = self.conv_dw(x) 2025-08-14T21:52:55.2390644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2391028Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2391427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2391842Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2392229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:52:55.2392585Z return conv2d_same( 2025-08-14T21:52:55.2393025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:52:55.2393453Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:52:55.2393842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:52:55.2394279Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:52:55.2394688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:52:55.2395075Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:52:55.2395245Z 2025-08-14T21:52:55.2395368Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2395773Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2396126Z return mod(*inputs) 2025-08-14T21:52:55.2396672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2397067Z x = self.forward_features(x) 2025-08-14T21:52:55.2397459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2397869Z x = self.blocks(x) 2025-08-14T21:52:55.2398239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2398640Z x = self.conv_dw(x) 2025-08-14T21:52:55.2398979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2399413Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2399836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2400257Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2400665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:52:55.2401032Z return conv2d_same( 2025-08-14T21:52:55.2401382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:52:55.2401819Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:52:55.2402027Z 2025-08-14T21:52:55.2402144Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2402568Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2402915Z return mod(*inputs) 2025-08-14T21:52:55.2403258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2403638Z x = self.forward_features(x) 2025-08-14T21:52:55.2404021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2404459Z x = self.blocks(x) 2025-08-14T21:52:55.2404827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2405213Z x = self.conv_dw(x) 2025-08-14T21:52:55.2405542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2405961Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2406375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2406818Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2407205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:52:55.2407567Z return conv2d_same( 2025-08-14T21:52:55.2407905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:52:55.2408299Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:52:55.2408677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:52:55.2409099Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:52:55.2409509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:52:55.2409873Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:52:55.2410043Z 2025-08-14T21:52:55.2410152Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2410534Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2410870Z return mod(*inputs) 2025-08-14T21:52:55.2411217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2411586Z x = self.forward_features(x) 2025-08-14T21:52:55.2411961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2412334Z x = self.blocks(x) 2025-08-14T21:52:55.2412680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2413052Z x = self.conv_dw(x) 2025-08-14T21:52:55.2413378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2413764Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2414163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2414556Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2414936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:52:55.2415287Z return conv2d_same( 2025-08-14T21:52:55.2415620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:52:55.2416047Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:52:55.2416236Z 2025-08-14T21:52:55.2416325Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2416553Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2416802Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2417016Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2417269Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2417646Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2417994Z return mod(*inputs) 2025-08-14T21:52:55.2418324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2418707Z x = self.forward_features(x) 2025-08-14T21:52:55.2419094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2419470Z x = self.blocks(x) 2025-08-14T21:52:55.2419820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2420192Z x = self.conv_dw(x) 2025-08-14T21:52:55.2420515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.2420883Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.2421010Z 2025-08-14T21:52:55.2421121Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2421503Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2421837Z return mod(*inputs) 2025-08-14T21:52:55.2422170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2422534Z x = self.forward_features(x) 2025-08-14T21:52:55.2422907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2423278Z x = self.blocks(x) 2025-08-14T21:52:55.2423623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:52:55.2423988Z x = self.bn2(x) 2025-08-14T21:52:55.2424295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:52:55.2424637Z x = F.batch_norm( 2025-08-14T21:52:55.2424746Z 2025-08-14T21:52:55.2424855Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2425229Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2425576Z return mod(*inputs) 2025-08-14T21:52:55.2425910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2426271Z x = self.forward_features(x) 2025-08-14T21:52:55.2426634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2427012Z x = self.blocks(x) 2025-08-14T21:52:55.2427355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:52:55.2427720Z x = self.bn2(x) 2025-08-14T21:52:55.2428022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:52:55.2428358Z x = self.act(x) 2025-08-14T21:52:55.2428453Z 2025-08-14T21:52:55.2428568Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2428934Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2429274Z return mod(*inputs) 2025-08-14T21:52:55.2429603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2429963Z x = self.forward_features(x) 2025-08-14T21:52:55.2430327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2430701Z x = self.blocks(x) 2025-08-14T21:52:55.2431047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2431457Z x = self.se(x) 2025-08-14T21:52:55.2431807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:52:55.2432206Z x_se = self.conv_reduce(x_se) 2025-08-14T21:52:55.2432337Z 2025-08-14T21:52:55.2432454Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2432931Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2433288Z return mod(*inputs) 2025-08-14T21:52:55.2433634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2434011Z x = self.forward_features(x) 2025-08-14T21:52:55.2434440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2434838Z x = self.blocks(x) 2025-08-14T21:52:55.2435195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2435590Z x = self.se(x) 2025-08-14T21:52:55.2435942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:52:55.2436331Z x_se = self.act1(x_se) 2025-08-14T21:52:55.2436453Z 2025-08-14T21:52:55.2436565Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2436970Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2437317Z return mod(*inputs) 2025-08-14T21:52:55.2437664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2438037Z x = self.forward_features(x) 2025-08-14T21:52:55.2438427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2438826Z x = self.blocks(x) 2025-08-14T21:52:55.2439173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2439548Z x = self.se(x) 2025-08-14T21:52:55.2439894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:52:55.2440301Z x_se = self.conv_expand(x_se) 2025-08-14T21:52:55.2440437Z 2025-08-14T21:52:55.2440551Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2440947Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2441303Z return mod(*inputs) 2025-08-14T21:52:55.2441645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2442073Z x = self.forward_features(x) 2025-08-14T21:52:55.2442463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2442864Z x = self.blocks(x) 2025-08-14T21:52:55.2443208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2443585Z x = self.se(x) 2025-08-14T21:52:55.2443932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:52:55.2444320Z return x * self.gate(x_se) 2025-08-14T21:52:55.2444446Z 2025-08-14T21:52:55.2444555Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2444938Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2445282Z return mod(*inputs) 2025-08-14T21:52:55.2445615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2446000Z x = self.forward_features(x) 2025-08-14T21:52:55.2446408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2446796Z x = self.blocks(x) 2025-08-14T21:52:55.2447142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2447517Z x = self.se(x) 2025-08-14T21:52:55.2447881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:52:55.2448262Z return x * self.gate(x_se) 2025-08-14T21:52:55.2448405Z 2025-08-14T21:52:55.2448514Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2448893Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2449233Z return mod(*inputs) 2025-08-14T21:52:55.2449561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2449925Z x = self.forward_features(x) 2025-08-14T21:52:55.2450312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2450688Z x = self.blocks(x) 2025-08-14T21:52:55.2451031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.2451404Z x = self.conv_pwl(x) 2025-08-14T21:52:55.2451522Z 2025-08-14T21:52:55.2451641Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2452016Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2452362Z return mod(*inputs) 2025-08-14T21:52:55.2452700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2453065Z x = self.forward_features(x) 2025-08-14T21:52:55.2453448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2453841Z x = self.blocks(x) 2025-08-14T21:52:55.2454179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-14T21:52:55.2454534Z x = self.bn3(x) 2025-08-14T21:52:55.2454861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:52:55.2455205Z x = F.batch_norm( 2025-08-14T21:52:55.2455307Z 2025-08-14T21:52:55.2455414Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2455803Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2456152Z return mod(*inputs) 2025-08-14T21:52:55.2456494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2456863Z x = self.forward_features(x) 2025-08-14T21:52:55.2457252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2457643Z x = self.blocks(x) 2025-08-14T21:52:55.2457993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:52:55.2458362Z x = self.conv_pw(x) 2025-08-14T21:52:55.2458692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2459088Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2459483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2459881Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2460048Z 2025-08-14T21:52:55.2460162Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2460529Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2460889Z return mod(*inputs) 2025-08-14T21:52:55.2461216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2461588Z x = self.forward_features(x) 2025-08-14T21:52:55.2461965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2462368Z x = self.blocks(x) 2025-08-14T21:52:55.2462730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:52:55.2463098Z x = self.conv_pw(x) 2025-08-14T21:52:55.2463420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2463810Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2464201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2464617Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2464795Z 2025-08-14T21:52:55.2464884Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2465121Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2465381Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2465764Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2466113Z return mod(*inputs) 2025-08-14T21:52:55.2466461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2466838Z x = self.forward_features(x) 2025-08-14T21:52:55.2467220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2467621Z x = self.blocks(x) 2025-08-14T21:52:55.2467979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:52:55.2468355Z x = self.conv_pw(x) 2025-08-14T21:52:55.2468689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.2469067Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.2469188Z 2025-08-14T21:52:55.2469320Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2469710Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2470055Z return mod(*inputs) 2025-08-14T21:52:55.2470395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2470774Z x = self.forward_features(x) 2025-08-14T21:52:55.2471159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2471546Z x = self.blocks(x) 2025-08-14T21:52:55.2471896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:52:55.2472277Z x = self.bn1(x) 2025-08-14T21:52:55.2472601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:52:55.2473040Z x = F.batch_norm( 2025-08-14T21:52:55.2473151Z 2025-08-14T21:52:55.2473267Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2473654Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2474004Z return mod(*inputs) 2025-08-14T21:52:55.2474336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2474709Z x = self.forward_features(x) 2025-08-14T21:52:55.2475093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2475517Z x = self.blocks(x) 2025-08-14T21:52:55.2475874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:52:55.2476250Z x = self.bn1(x) 2025-08-14T21:52:55.2476570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:52:55.2476915Z x = self.act(x) 2025-08-14T21:52:55.2477020Z 2025-08-14T21:52:55.2477125Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2477386Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2477772Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2478114Z return mod(*inputs) 2025-08-14T21:52:55.2478456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2478825Z x = self.forward_features(x) 2025-08-14T21:52:55.2479204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2479606Z x = self.blocks(x) 2025-08-14T21:52:55.2479970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2480343Z x = self.conv_dw(x) 2025-08-14T21:52:55.2480669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2481067Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2481466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2481863Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2482038Z 2025-08-14T21:52:55.2482124Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2482379Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2482757Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2483095Z return mod(*inputs) 2025-08-14T21:52:55.2483433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2483800Z x = self.forward_features(x) 2025-08-14T21:52:55.2484205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2484585Z x = self.blocks(x) 2025-08-14T21:52:55.2484930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2485301Z x = self.conv_dw(x) 2025-08-14T21:52:55.2485624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2486015Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2486414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2486802Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2486975Z 2025-08-14T21:52:55.2487060Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2487280Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2487528Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2487896Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2488238Z return mod(*inputs) 2025-08-14T21:52:55.2488570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2488941Z x = self.forward_features(x) 2025-08-14T21:52:55.2489316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2489748Z x = self.blocks(x) 2025-08-14T21:52:55.2490093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2490455Z x = self.conv_dw(x) 2025-08-14T21:52:55.2490777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.2491155Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.2491275Z 2025-08-14T21:52:55.2491373Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2491626Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2492007Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2492352Z return mod(*inputs) 2025-08-14T21:52:55.2492685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2493061Z x = self.forward_features(x) 2025-08-14T21:52:55.2493444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2493848Z x = self.blocks(x) 2025-08-14T21:52:55.2494203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2494588Z x = self.se(x) 2025-08-14T21:52:55.2494938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:52:55.2495314Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:52:55.2495461Z 2025-08-14T21:52:55.2495571Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2495957Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2496298Z return mod(*inputs) 2025-08-14T21:52:55.2496777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2497156Z x = self.forward_features(x) 2025-08-14T21:52:55.2497534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2497914Z x = self.blocks(x) 2025-08-14T21:52:55.2498273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2498700Z x = self.se(x) 2025-08-14T21:52:55.2499044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:52:55.2499436Z x_se = self.conv_reduce(x_se) 2025-08-14T21:52:55.2499576Z 2025-08-14T21:52:55.2499687Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2500077Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2500418Z return mod(*inputs) 2025-08-14T21:52:55.2500765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2501147Z x = self.forward_features(x) 2025-08-14T21:52:55.2501527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2501919Z x = self.blocks(x) 2025-08-14T21:52:55.2502280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2502662Z x = self.se(x) 2025-08-14T21:52:55.2503000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:52:55.2503383Z x_se = self.act1(x_se) 2025-08-14T21:52:55.2503502Z 2025-08-14T21:52:55.2503621Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2504001Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2504348Z return mod(*inputs) 2025-08-14T21:52:55.2504721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2505095Z x = self.forward_features(x) 2025-08-14T21:52:55.2505471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2505851Z x = self.blocks(x) 2025-08-14T21:52:55.2506232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2506605Z x = self.se(x) 2025-08-14T21:52:55.2506949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:52:55.2507337Z x_se = self.conv_expand(x_se) 2025-08-14T21:52:55.2507472Z 2025-08-14T21:52:55.2507591Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2507972Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2508324Z return mod(*inputs) 2025-08-14T21:52:55.2508696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2509061Z x = self.forward_features(x) 2025-08-14T21:52:55.2509431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2509818Z x = self.blocks(x) 2025-08-14T21:52:55.2510170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2510533Z x = self.se(x) 2025-08-14T21:52:55.2510874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:52:55.2511254Z return x * self.gate(x_se) 2025-08-14T21:52:55.2511377Z 2025-08-14T21:52:55.2511494Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2511881Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2512227Z return mod(*inputs) 2025-08-14T21:52:55.2512567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2513004Z x = self.forward_features(x) 2025-08-14T21:52:55.2513445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2513837Z x = self.blocks(x) 2025-08-14T21:52:55.2514183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2514545Z x = self.se(x) 2025-08-14T21:52:55.2514886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:52:55.2515261Z return x * self.gate(x_se) 2025-08-14T21:52:55.2515385Z 2025-08-14T21:52:55.2515472Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2515726Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2516104Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2516448Z return mod(*inputs) 2025-08-14T21:52:55.2516775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2517146Z x = self.forward_features(x) 2025-08-14T21:52:55.2517522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2517903Z x = self.blocks(x) 2025-08-14T21:52:55.2518248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.2518630Z x = self.conv_pwl(x) 2025-08-14T21:52:55.2518967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2519388Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2519792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2520203Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2520367Z 2025-08-14T21:52:55.2520451Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2520703Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2521099Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2521449Z return mod(*inputs) 2025-08-14T21:52:55.2521777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2522144Z x = self.forward_features(x) 2025-08-14T21:52:55.2522517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2522911Z x = self.blocks(x) 2025-08-14T21:52:55.2523297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.2523670Z x = self.conv_pwl(x) 2025-08-14T21:52:55.2524009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2524394Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2524810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2525226Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2525396Z 2025-08-14T21:52:55.2525484Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2525716Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2525981Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2526353Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2526686Z return mod(*inputs) 2025-08-14T21:52:55.2527023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2527384Z x = self.forward_features(x) 2025-08-14T21:52:55.2527767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2528159Z x = self.blocks(x) 2025-08-14T21:52:55.2528502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.2528886Z x = self.conv_pwl(x) 2025-08-14T21:52:55.2529214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.2529583Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.2529702Z 2025-08-14T21:52:55.2529818Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2530191Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2530534Z return mod(*inputs) 2025-08-14T21:52:55.2530866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2531246Z x = self.forward_features(x) 2025-08-14T21:52:55.2531618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2532008Z x = self.blocks(x) 2025-08-14T21:52:55.2532366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:52:55.2532764Z x = self.drop_path(x) + shortcut 2025-08-14T21:52:55.2532910Z 2025-08-14T21:52:55.2533021Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2533409Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2533785Z return mod(*inputs) 2025-08-14T21:52:55.2534121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2534493Z x = self.forward_features(x) 2025-08-14T21:52:55.2534872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2535262Z x = self.blocks(x) 2025-08-14T21:52:55.2535634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:52:55.2536015Z x = self.conv_pw(x) 2025-08-14T21:52:55.2536352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2536767Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2537178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2537591Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2537792Z 2025-08-14T21:52:55.2537911Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2538290Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2538641Z return mod(*inputs) 2025-08-14T21:52:55.2538987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2539358Z x = self.forward_features(x) 2025-08-14T21:52:55.2539744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2540135Z x = self.blocks(x) 2025-08-14T21:52:55.2540490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:52:55.2540866Z x = self.conv_pw(x) 2025-08-14T21:52:55.2541206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2541609Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2542007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2542435Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2542614Z 2025-08-14T21:52:55.2542703Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2542934Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2543180Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2543560Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2543906Z return mod(*inputs) 2025-08-14T21:52:55.2544236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2544609Z x = self.forward_features(x) 2025-08-14T21:52:55.2545003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2545378Z x = self.blocks(x) 2025-08-14T21:52:55.2545714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:52:55.2546086Z x = self.conv_pw(x) 2025-08-14T21:52:55.2546414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.2546761Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.2546887Z 2025-08-14T21:52:55.2546992Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2547363Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2547699Z return mod(*inputs) 2025-08-14T21:52:55.2548022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2548412Z x = self.forward_features(x) 2025-08-14T21:52:55.2548782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2549163Z x = self.blocks(x) 2025-08-14T21:52:55.2549513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:52:55.2549900Z x = self.bn1(x) 2025-08-14T21:52:55.2550214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:52:55.2550548Z x = F.batch_norm( 2025-08-14T21:52:55.2550656Z 2025-08-14T21:52:55.2550761Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2551137Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2551473Z return mod(*inputs) 2025-08-14T21:52:55.2551807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2552192Z x = self.forward_features(x) 2025-08-14T21:52:55.2552565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2553023Z x = self.blocks(x) 2025-08-14T21:52:55.2553381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:52:55.2553751Z x = self.bn1(x) 2025-08-14T21:52:55.2554056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:52:55.2554398Z x = self.act(x) 2025-08-14T21:52:55.2554503Z 2025-08-14T21:52:55.2554588Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2554839Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2555206Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2555551Z return mod(*inputs) 2025-08-14T21:52:55.2555883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2556252Z x = self.forward_features(x) 2025-08-14T21:52:55.2556649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2557039Z x = self.blocks(x) 2025-08-14T21:52:55.2557387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2557749Z x = self.conv_dw(x) 2025-08-14T21:52:55.2558077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2558490Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2558885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2559299Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2559470Z 2025-08-14T21:52:55.2559553Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2559801Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2560181Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2560257Z return mod(*inputs) 2025-08-14T21:52:55.2560491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2560564Z x = self.forward_features(x) 2025-08-14T21:52:55.2560824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2560890Z x = self.blocks(x) 2025-08-14T21:52:55.2561133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2561225Z x = self.conv_dw(x) 2025-08-14T21:52:55.2561443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2561557Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2561793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2561915Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2561928Z 2025-08-14T21:52:55.2562012Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2562092Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2562207Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2562425Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2562494Z return mod(*inputs) 2025-08-14T21:52:55.2562722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2562817Z x = self.forward_features(x) 2025-08-14T21:52:55.2563072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2563146Z x = self.blocks(x) 2025-08-14T21:52:55.2563385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2563462Z x = self.conv_dw(x) 2025-08-14T21:52:55.2563676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.2563749Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.2563753Z 2025-08-14T21:52:55.2563843Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2563952Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2564172Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2564242Z return mod(*inputs) 2025-08-14T21:52:55.2564462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2564545Z x = self.forward_features(x) 2025-08-14T21:52:55.2564800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2564887Z x = self.blocks(x) 2025-08-14T21:52:55.2565134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2565199Z x = self.se(x) 2025-08-14T21:52:55.2565442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:52:55.2565524Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:52:55.2565528Z 2025-08-14T21:52:55.2565633Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2565845Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2565914Z return mod(*inputs) 2025-08-14T21:52:55.2566132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2566214Z x = self.forward_features(x) 2025-08-14T21:52:55.2566465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2566540Z x = self.blocks(x) 2025-08-14T21:52:55.2566774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2566839Z x = self.se(x) 2025-08-14T21:52:55.2567076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:52:55.2567153Z x_se = self.conv_reduce(x_se) 2025-08-14T21:52:55.2567157Z 2025-08-14T21:52:55.2567285Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2567496Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2567565Z return mod(*inputs) 2025-08-14T21:52:55.2567789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2567863Z x = self.forward_features(x) 2025-08-14T21:52:55.2568134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2568213Z x = self.blocks(x) 2025-08-14T21:52:55.2568455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2568522Z x = self.se(x) 2025-08-14T21:52:55.2568771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:52:55.2568845Z x_se = self.act1(x_se) 2025-08-14T21:52:55.2568851Z 2025-08-14T21:52:55.2568967Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2569208Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2569279Z return mod(*inputs) 2025-08-14T21:52:55.2569512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2569588Z x = self.forward_features(x) 2025-08-14T21:52:55.2569839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2569906Z x = self.blocks(x) 2025-08-14T21:52:55.2570139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2570210Z x = self.se(x) 2025-08-14T21:52:55.2570444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:52:55.2570523Z x_se = self.conv_expand(x_se) 2025-08-14T21:52:55.2570528Z 2025-08-14T21:52:55.2570644Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2570846Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2570922Z return mod(*inputs) 2025-08-14T21:52:55.2571216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2571291Z x = self.forward_features(x) 2025-08-14T21:52:55.2571540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2571607Z x = self.blocks(x) 2025-08-14T21:52:55.2571841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2571914Z x = self.se(x) 2025-08-14T21:52:55.2572149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:52:55.2572233Z return x * self.gate(x_se) 2025-08-14T21:52:55.2572237Z 2025-08-14T21:52:55.2572344Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2572554Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2572630Z return mod(*inputs) 2025-08-14T21:52:55.2572860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2572946Z x = self.forward_features(x) 2025-08-14T21:52:55.2573197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2573263Z x = self.blocks(x) 2025-08-14T21:52:55.2573504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2573589Z x = self.se(x) 2025-08-14T21:52:55.2573823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:52:55.2573907Z return x * self.gate(x_se) 2025-08-14T21:52:55.2573911Z 2025-08-14T21:52:55.2573995Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2574101Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2574342Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2574413Z return mod(*inputs) 2025-08-14T21:52:55.2574641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2574716Z x = self.forward_features(x) 2025-08-14T21:52:55.2574958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2575032Z x = self.blocks(x) 2025-08-14T21:52:55.2575268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.2575357Z x = self.conv_pwl(x) 2025-08-14T21:52:55.2575582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2575694Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2575932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2576040Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2576043Z 2025-08-14T21:52:55.2576129Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2576241Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2576447Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2576523Z return mod(*inputs) 2025-08-14T21:52:55.2576744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2576820Z x = self.forward_features(x) 2025-08-14T21:52:55.2577070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2577138Z x = self.blocks(x) 2025-08-14T21:52:55.2577395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.2577479Z x = self.conv_pwl(x) 2025-08-14T21:52:55.2577695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2577812Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2578034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2578141Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2578146Z 2025-08-14T21:52:55.2578237Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2578320Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2578426Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2578637Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2578705Z return mod(*inputs) 2025-08-14T21:52:55.2578937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2579012Z x = self.forward_features(x) 2025-08-14T21:52:55.2579256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2579333Z x = self.blocks(x) 2025-08-14T21:52:55.2579571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.2579642Z x = self.conv_pwl(x) 2025-08-14T21:52:55.2579888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.2579963Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.2579967Z 2025-08-14T21:52:55.2580081Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2580284Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2580354Z return mod(*inputs) 2025-08-14T21:52:55.2580596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2580672Z x = self.forward_features(x) 2025-08-14T21:52:55.2580927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2580997Z x = self.blocks(x) 2025-08-14T21:52:55.2581236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:52:55.2581323Z x = self.drop_path(x) + shortcut 2025-08-14T21:52:55.2581345Z 2025-08-14T21:52:55.2581451Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2581654Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2581732Z return mod(*inputs) 2025-08-14T21:52:55.2581953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2582035Z x = self.forward_features(x) 2025-08-14T21:52:55.2582277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2582344Z x = self.blocks(x) 2025-08-14T21:52:55.2582584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:52:55.2582652Z x = self.conv_pw(x) 2025-08-14T21:52:55.2582868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2582987Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2583210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2583324Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2583344Z 2025-08-14T21:52:55.2583455Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2583659Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2583736Z return mod(*inputs) 2025-08-14T21:52:55.2583956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2584029Z x = self.forward_features(x) 2025-08-14T21:52:55.2584277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2584348Z x = self.blocks(x) 2025-08-14T21:52:55.2584590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:52:55.2584658Z x = self.conv_pw(x) 2025-08-14T21:52:55.2584872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2584989Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2585211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2585322Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2585326Z 2025-08-14T21:52:55.2585407Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2585489Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2585604Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2585828Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2585898Z return mod(*inputs) 2025-08-14T21:52:55.2586127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2586201Z x = self.forward_features(x) 2025-08-14T21:52:55.2586471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2586542Z x = self.blocks(x) 2025-08-14T21:52:55.2586779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:52:55.2586851Z x = self.conv_pw(x) 2025-08-14T21:52:55.2587066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.2587137Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.2587141Z 2025-08-14T21:52:55.2587254Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2587476Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2587550Z return mod(*inputs) 2025-08-14T21:52:55.2587771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2587845Z x = self.forward_features(x) 2025-08-14T21:52:55.2588097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2588163Z x = self.blocks(x) 2025-08-14T21:52:55.2588403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:52:55.2588477Z x = self.bn1(x) 2025-08-14T21:52:55.2588695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:52:55.2588770Z x = F.batch_norm( 2025-08-14T21:52:55.2588776Z 2025-08-14T21:52:55.2588886Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2589095Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2589172Z return mod(*inputs) 2025-08-14T21:52:55.2589397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2589489Z x = self.forward_features(x) 2025-08-14T21:52:55.2589758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2589824Z x = self.blocks(x) 2025-08-14T21:52:55.2590066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:52:55.2590131Z x = self.bn1(x) 2025-08-14T21:52:55.2590344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:52:55.2590420Z x = self.act(x) 2025-08-14T21:52:55.2590424Z 2025-08-14T21:52:55.2590511Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2590621Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2590840Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2590909Z return mod(*inputs) 2025-08-14T21:52:55.2591147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2591223Z x = self.forward_features(x) 2025-08-14T21:52:55.2591477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2591555Z x = self.blocks(x) 2025-08-14T21:52:55.2591797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2591873Z x = self.conv_dw(x) 2025-08-14T21:52:55.2592120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2592233Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2592471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2592582Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2592587Z 2025-08-14T21:52:55.2592694Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2592898Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2593116Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2593196Z return mod(*inputs) 2025-08-14T21:52:55.2593426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2593505Z x = self.forward_features(x) 2025-08-14T21:52:55.2593765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2593857Z x = self.blocks(x) 2025-08-14T21:52:55.2594106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2594188Z x = self.conv_dw(x) 2025-08-14T21:52:55.2594415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2594534Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2594765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2594874Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2594879Z 2025-08-14T21:52:55.2594976Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2595062Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2595176Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2595397Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2595467Z return mod(*inputs) 2025-08-14T21:52:55.2595701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2595797Z x = self.forward_features(x) 2025-08-14T21:52:55.2596050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2596128Z x = self.blocks(x) 2025-08-14T21:52:55.2596370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2596440Z x = self.conv_dw(x) 2025-08-14T21:52:55.2596809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.2596890Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.2596894Z 2025-08-14T21:52:55.2596989Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2597100Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2597312Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2597393Z return mod(*inputs) 2025-08-14T21:52:55.2597623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2597701Z x = self.forward_features(x) 2025-08-14T21:52:55.2597959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2598029Z x = self.blocks(x) 2025-08-14T21:52:55.2598280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2598348Z x = self.se(x) 2025-08-14T21:52:55.2598594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:52:55.2598742Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:52:55.2598746Z 2025-08-14T21:52:55.2598857Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2599074Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2599147Z return mod(*inputs) 2025-08-14T21:52:55.2599403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2599487Z x = self.forward_features(x) 2025-08-14T21:52:55.2599741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2599811Z x = self.blocks(x) 2025-08-14T21:52:55.2600066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2600135Z x = self.se(x) 2025-08-14T21:52:55.2600387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:52:55.2600499Z x_se = self.conv_reduce(x_se) 2025-08-14T21:52:55.2600503Z 2025-08-14T21:52:55.2600615Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2600832Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2600905Z return mod(*inputs) 2025-08-14T21:52:55.2601131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2601215Z x = self.forward_features(x) 2025-08-14T21:52:55.2601463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2601538Z x = self.blocks(x) 2025-08-14T21:52:55.2601780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2601850Z x = self.se(x) 2025-08-14T21:52:55.2602098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:52:55.2602171Z x_se = self.act1(x_se) 2025-08-14T21:52:55.2602175Z 2025-08-14T21:52:55.2602287Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2602532Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2602605Z return mod(*inputs) 2025-08-14T21:52:55.2602837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2602912Z x = self.forward_features(x) 2025-08-14T21:52:55.2603158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2603235Z x = self.blocks(x) 2025-08-14T21:52:55.2603478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2603554Z x = self.se(x) 2025-08-14T21:52:55.2603795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:52:55.2603872Z x_se = self.conv_expand(x_se) 2025-08-14T21:52:55.2603876Z 2025-08-14T21:52:55.2603995Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2604206Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2604277Z return mod(*inputs) 2025-08-14T21:52:55.2604511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2604586Z x = self.forward_features(x) 2025-08-14T21:52:55.2604840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2604929Z x = self.blocks(x) 2025-08-14T21:52:55.2605171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2605243Z x = self.se(x) 2025-08-14T21:52:55.2605482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:52:55.2605559Z return x * self.gate(x_se) 2025-08-14T21:52:55.2605563Z 2025-08-14T21:52:55.2605697Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2605912Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2605990Z return mod(*inputs) 2025-08-14T21:52:55.2606217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2606293Z x = self.forward_features(x) 2025-08-14T21:52:55.2606551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2606648Z x = self.blocks(x) 2025-08-14T21:52:55.2606895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2606972Z x = self.se(x) 2025-08-14T21:52:55.2607217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:52:55.2607304Z return x * self.gate(x_se) 2025-08-14T21:52:55.2607308Z 2025-08-14T21:52:55.2607394Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2607506Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2607731Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2607799Z return mod(*inputs) 2025-08-14T21:52:55.2608021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2608104Z x = self.forward_features(x) 2025-08-14T21:52:55.2608351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2608430Z x = self.blocks(x) 2025-08-14T21:52:55.2608665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.2608756Z x = self.conv_pwl(x) 2025-08-14T21:52:55.2609165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2609287Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2609528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2609651Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2609655Z 2025-08-14T21:52:55.2609744Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2609866Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2610084Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2610158Z return mod(*inputs) 2025-08-14T21:52:55.2610398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2610477Z x = self.forward_features(x) 2025-08-14T21:52:55.2610756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2610825Z x = self.blocks(x) 2025-08-14T21:52:55.2611065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.2611144Z x = self.conv_pwl(x) 2025-08-14T21:52:55.2611365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2611500Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2611735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2611839Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2611843Z 2025-08-14T21:52:55.2611934Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2612017Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2612154Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2612374Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2612442Z return mod(*inputs) 2025-08-14T21:52:55.2612664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2612747Z x = self.forward_features(x) 2025-08-14T21:52:55.2612993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2613087Z x = self.blocks(x) 2025-08-14T21:52:55.2613332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.2613405Z x = self.conv_pwl(x) 2025-08-14T21:52:55.2613637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.2613713Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.2613718Z 2025-08-14T21:52:55.2613830Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2614206Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2614281Z return mod(*inputs) 2025-08-14T21:52:55.2614513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2614589Z x = self.forward_features(x) 2025-08-14T21:52:55.2614843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2614923Z x = self.blocks(x) 2025-08-14T21:52:55.2615175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:52:55.2615260Z x = self.drop_path(x) + shortcut 2025-08-14T21:52:55.2615264Z 2025-08-14T21:52:55.2615396Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2615604Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2615682Z return mod(*inputs) 2025-08-14T21:52:55.2615903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2615976Z x = self.forward_features(x) 2025-08-14T21:52:55.2616227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2616296Z x = self.blocks(x) 2025-08-14T21:52:55.2616540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:52:55.2616608Z x = self.conv_pw(x) 2025-08-14T21:52:55.2616612Z 2025-08-14T21:52:55.2616718Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2616932Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2617002Z return mod(*inputs) 2025-08-14T21:52:55.2617218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2617299Z x = self.forward_features(x) 2025-08-14T21:52:55.2617540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2617613Z x = self.blocks(x) 2025-08-14T21:52:55.2617847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:52:55.2617936Z x = self.bn1(x) 2025-08-14T21:52:55.2618154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:52:55.2618220Z x = F.batch_norm( 2025-08-14T21:52:55.2618223Z 2025-08-14T21:52:55.2618332Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2618563Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2618635Z return mod(*inputs) 2025-08-14T21:52:55.2618868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2618944Z x = self.forward_features(x) 2025-08-14T21:52:55.2619195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2619273Z x = self.blocks(x) 2025-08-14T21:52:55.2619521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:52:55.2619607Z x = self.bn1(x) 2025-08-14T21:52:55.2619828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:52:55.2619894Z x = self.act(x) 2025-08-14T21:52:55.2619898Z 2025-08-14T21:52:55.2620015Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2620239Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2620308Z return mod(*inputs) 2025-08-14T21:52:55.2620544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2620622Z x = self.forward_features(x) 2025-08-14T21:52:55.2620892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2620966Z x = self.blocks(x) 2025-08-14T21:52:55.2621208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2621286Z x = self.conv_dw(x) 2025-08-14T21:52:55.2621514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2621660Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2621903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2622022Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2622245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:52:55.2622315Z return conv2d_same( 2025-08-14T21:52:55.2622538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:52:55.2622656Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:52:55.2622865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:52:55.2623017Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:52:55.2623226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:52:55.2623336Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:52:55.2623340Z 2025-08-14T21:52:55.2623457Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2623669Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2623740Z return mod(*inputs) 2025-08-14T21:52:55.2623976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2624074Z x = self.forward_features(x) 2025-08-14T21:52:55.2624347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2624421Z x = self.blocks(x) 2025-08-14T21:52:55.2624667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2624746Z x = self.conv_dw(x) 2025-08-14T21:52:55.2624994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2625108Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2625354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2625464Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2625692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:52:55.2625765Z return conv2d_same( 2025-08-14T21:52:55.2626015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:52:55.2626164Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:52:55.2626168Z 2025-08-14T21:52:55.2626805Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2627042Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2627116Z return mod(*inputs) 2025-08-14T21:52:55.2627348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2627434Z x = self.forward_features(x) 2025-08-14T21:52:55.2627697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2627769Z x = self.blocks(x) 2025-08-14T21:52:55.2628020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2628090Z x = self.conv_dw(x) 2025-08-14T21:52:55.2628324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2628436Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2628683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2628802Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2629018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:52:55.2629087Z return conv2d_same( 2025-08-14T21:52:55.2629321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:52:55.2629433Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:52:55.2629660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:52:55.2629814Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:52:55.2630024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:52:55.2630137Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:52:55.2630142Z 2025-08-14T21:52:55.2630254Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2630471Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2630541Z return mod(*inputs) 2025-08-14T21:52:55.2630769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2630852Z x = self.forward_features(x) 2025-08-14T21:52:55.2631132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2631202Z x = self.blocks(x) 2025-08-14T21:52:55.2631451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2631521Z x = self.conv_dw(x) 2025-08-14T21:52:55.2631749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2632714Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2633044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2633166Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2633386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:52:55.2633456Z return conv2d_same( 2025-08-14T21:52:55.2633699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:52:55.2633867Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:52:55.2633872Z 2025-08-14T21:52:55.2633994Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2634208Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2634281Z return mod(*inputs) 2025-08-14T21:52:55.2634518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2634594Z x = self.forward_features(x) 2025-08-14T21:52:55.2634847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2634925Z x = self.blocks(x) 2025-08-14T21:52:55.2635167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2635250Z x = self.conv_dw(x) 2025-08-14T21:52:55.2635472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2635583Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2635847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2635960Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2636186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:52:55.2636257Z return conv2d_same( 2025-08-14T21:52:55.2636485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:52:55.2636603Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:52:55.2636818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:52:55.2636969Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:52:55.2637182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:52:55.2637289Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:52:55.2637293Z 2025-08-14T21:52:55.2637414Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2637627Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2637700Z return mod(*inputs) 2025-08-14T21:52:55.2637943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2638019Z x = self.forward_features(x) 2025-08-14T21:52:55.2638261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2638357Z x = self.blocks(x) 2025-08-14T21:52:55.2638594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2638670Z x = self.conv_dw(x) 2025-08-14T21:52:55.2638888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2639012Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2639245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2639351Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2639571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:52:55.2639640Z return conv2d_same( 2025-08-14T21:52:55.2639861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:52:55.2640024Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:52:55.2640028Z 2025-08-14T21:52:55.2640112Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2640195Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2640285Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2640396Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2640613Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2640680Z return mod(*inputs) 2025-08-14T21:52:55.2640901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2640984Z x = self.forward_features(x) 2025-08-14T21:52:55.2641227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2641298Z x = self.blocks(x) 2025-08-14T21:52:55.2641543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2641611Z x = self.conv_dw(x) 2025-08-14T21:52:55.2641831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.2641924Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.2641928Z 2025-08-14T21:52:55.2642011Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2642127Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2642333Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2642401Z return mod(*inputs) 2025-08-14T21:52:55.2642627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2642701Z x = self.forward_features(x) 2025-08-14T21:52:55.2642952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2643021Z x = self.blocks(x) 2025-08-14T21:52:55.2643258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2643329Z x = self.se(x) 2025-08-14T21:52:55.2643567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:52:55.2643647Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:52:55.2643661Z 2025-08-14T21:52:55.2643770Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2643975Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2644052Z return mod(*inputs) 2025-08-14T21:52:55.2644272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2644370Z x = self.forward_features(x) 2025-08-14T21:52:55.2644629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2644697Z x = self.blocks(x) 2025-08-14T21:52:55.2644933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2645007Z x = self.se(x) 2025-08-14T21:52:55.2645261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:52:55.2645347Z x_se = self.conv_reduce(x_se) 2025-08-14T21:52:55.2645351Z 2025-08-14T21:52:55.2645460Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2645671Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2645749Z return mod(*inputs) 2025-08-14T21:52:55.2645974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2646097Z x = self.forward_features(x) 2025-08-14T21:52:55.2646341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2646407Z x = self.blocks(x) 2025-08-14T21:52:55.2646651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2646718Z x = self.se(x) 2025-08-14T21:52:55.2646952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:52:55.2647030Z x_se = self.act1(x_se) 2025-08-14T21:52:55.2647034Z 2025-08-14T21:52:55.2647138Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2647347Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2647413Z return mod(*inputs) 2025-08-14T21:52:55.2647636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2647718Z x = self.forward_features(x) 2025-08-14T21:52:55.2647962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2648029Z x = self.blocks(x) 2025-08-14T21:52:55.2648288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2648353Z x = self.se(x) 2025-08-14T21:52:55.2648596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:52:55.2648672Z x_se = self.conv_expand(x_se) 2025-08-14T21:52:55.2648675Z 2025-08-14T21:52:55.2648780Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2648990Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2649060Z return mod(*inputs) 2025-08-14T21:52:55.2649280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2649362Z x = self.forward_features(x) 2025-08-14T21:52:55.2649603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2649677Z x = self.blocks(x) 2025-08-14T21:52:55.2649913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2649977Z x = self.se(x) 2025-08-14T21:52:55.2650222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:52:55.2650296Z return x * self.gate(x_se) 2025-08-14T21:52:55.2650300Z 2025-08-14T21:52:55.2650414Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2650641Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2650711Z return mod(*inputs) 2025-08-14T21:52:55.2650941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2651014Z x = self.forward_features(x) 2025-08-14T21:52:55.2651256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2651349Z x = self.blocks(x) 2025-08-14T21:52:55.2651586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2651658Z x = self.se(x) 2025-08-14T21:52:55.2651891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:52:55.2651965Z return x * self.gate(x_se) 2025-08-14T21:52:55.2651969Z 2025-08-14T21:52:55.2652084Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2652309Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2652377Z return mod(*inputs) 2025-08-14T21:52:55.2652604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2652679Z x = self.forward_features(x) 2025-08-14T21:52:55.2652931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2652998Z x = self.blocks(x) 2025-08-14T21:52:55.2653231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.2653310Z x = self.conv_pwl(x) 2025-08-14T21:52:55.2653313Z 2025-08-14T21:52:55.2653418Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2653623Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2653699Z return mod(*inputs) 2025-08-14T21:52:55.2653920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2653998Z x = self.forward_features(x) 2025-08-14T21:52:55.2654239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2654322Z x = self.blocks(x) 2025-08-14T21:52:55.2654569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-14T21:52:55.2654634Z x = self.bn3(x) 2025-08-14T21:52:55.2654845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:52:55.2654920Z x = F.batch_norm( 2025-08-14T21:52:55.2654924Z 2025-08-14T21:52:55.2655030Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2655243Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2655313Z return mod(*inputs) 2025-08-14T21:52:55.2655528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2655608Z x = self.forward_features(x) 2025-08-14T21:52:55.2655851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2655926Z x = self.blocks(x) 2025-08-14T21:52:55.2656162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:52:55.2656231Z x = self.conv_pw(x) 2025-08-14T21:52:55.2656453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2656562Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2656786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2656924Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2656928Z 2025-08-14T21:52:55.2657036Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2657251Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2657323Z return mod(*inputs) 2025-08-14T21:52:55.2657561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2657647Z x = self.forward_features(x) 2025-08-14T21:52:55.2657890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2657957Z x = self.blocks(x) 2025-08-14T21:52:55.2658199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:52:55.2658268Z x = self.conv_pw(x) 2025-08-14T21:52:55.2658509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2658616Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2658841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2658957Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2658961Z 2025-08-14T21:52:55.2659045Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2659136Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2659241Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2659446Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2659519Z return mod(*inputs) 2025-08-14T21:52:55.2659737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2659813Z x = self.forward_features(x) 2025-08-14T21:52:55.2660059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2660125Z x = self.blocks(x) 2025-08-14T21:52:55.2660381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:52:55.2660452Z x = self.conv_pw(x) 2025-08-14T21:52:55.2660666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.2660744Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.2660748Z 2025-08-14T21:52:55.2660853Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2661071Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2661148Z return mod(*inputs) 2025-08-14T21:52:55.2661374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2661459Z x = self.forward_features(x) 2025-08-14T21:52:55.2661720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2661786Z x = self.blocks(x) 2025-08-14T21:52:55.2662036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:52:55.2662104Z x = self.bn1(x) 2025-08-14T21:52:55.2662322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:52:55.2662395Z x = F.batch_norm( 2025-08-14T21:52:55.2662399Z 2025-08-14T21:52:55.2662505Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2662716Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2662806Z return mod(*inputs) 2025-08-14T21:52:55.2663032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2663115Z x = self.forward_features(x) 2025-08-14T21:52:55.2663377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2663448Z x = self.blocks(x) 2025-08-14T21:52:55.2663719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:52:55.2663790Z x = self.bn1(x) 2025-08-14T21:52:55.2664018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:52:55.2664084Z x = self.act(x) 2025-08-14T21:52:55.2664088Z 2025-08-14T21:52:55.2664174Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2664292Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2664506Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2664597Z return mod(*inputs) 2025-08-14T21:52:55.2664832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2664908Z x = self.forward_features(x) 2025-08-14T21:52:55.2665175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2665243Z x = self.blocks(x) 2025-08-14T21:52:55.2665484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2665563Z x = self.conv_dw(x) 2025-08-14T21:52:55.2665791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2665902Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2666141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2666254Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2666258Z 2025-08-14T21:52:55.2666349Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2666458Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2666700Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2666779Z return mod(*inputs) 2025-08-14T21:52:55.2667008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2667090Z x = self.forward_features(x) 2025-08-14T21:52:55.2667346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2667413Z x = self.blocks(x) 2025-08-14T21:52:55.2667663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2667736Z x = self.conv_dw(x) 2025-08-14T21:52:55.2667966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2668083Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2668315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2668430Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2668434Z 2025-08-14T21:52:55.2668518Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2668628Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2668852Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2668922Z return mod(*inputs) 2025-08-14T21:52:55.2669147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2669252Z x = self.forward_features(x) 2025-08-14T21:52:55.2669515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2669592Z x = self.blocks(x) 2025-08-14T21:52:55.2669835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2669929Z x = self.conv_dw(x) 2025-08-14T21:52:55.2670157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2670265Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2670494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2670608Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2670613Z 2025-08-14T21:52:55.2670698Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2670885Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2671096Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2671167Z return mod(*inputs) 2025-08-14T21:52:55.2671401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2671479Z x = self.forward_features(x) 2025-08-14T21:52:55.2671739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2671809Z x = self.blocks(x) 2025-08-14T21:52:55.2672054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2672132Z x = self.conv_dw(x) 2025-08-14T21:52:55.2672358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2672471Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2672708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2672900Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2672906Z 2025-08-14T21:52:55.2673022Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2673110Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2673192Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2673284Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2673396Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2673610Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2673688Z return mod(*inputs) 2025-08-14T21:52:55.2673914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2674001Z x = self.forward_features(x) 2025-08-14T21:52:55.2674254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2674323Z x = self.blocks(x) 2025-08-14T21:52:55.2674575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2674646Z x = self.conv_dw(x) 2025-08-14T21:52:55.2674868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.2674951Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.2674956Z 2025-08-14T21:52:55.2675038Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2675157Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2675367Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2675457Z return mod(*inputs) 2025-08-14T21:52:55.2675698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2675773Z x = self.forward_features(x) 2025-08-14T21:52:55.2676026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2676106Z x = self.blocks(x) 2025-08-14T21:52:55.2676377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2676451Z x = self.se(x) 2025-08-14T21:52:55.2676688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:52:55.2676765Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:52:55.2676769Z 2025-08-14T21:52:55.2676883Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2677090Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2677176Z return mod(*inputs) 2025-08-14T21:52:55.2677402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2677478Z x = self.forward_features(x) 2025-08-14T21:52:55.2677727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2677794Z x = self.blocks(x) 2025-08-14T21:52:55.2678028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2678099Z x = self.se(x) 2025-08-14T21:52:55.2678331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:52:55.2678407Z x_se = self.conv_reduce(x_se) 2025-08-14T21:52:55.2678418Z 2025-08-14T21:52:55.2678524Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2678730Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2678808Z return mod(*inputs) 2025-08-14T21:52:55.2679027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2679100Z x = self.forward_features(x) 2025-08-14T21:52:55.2679366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2679436Z x = self.blocks(x) 2025-08-14T21:52:55.2679681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2679744Z x = self.se(x) 2025-08-14T21:52:55.2679978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:52:55.2680056Z x_se = self.act1(x_se) 2025-08-14T21:52:55.2680061Z 2025-08-14T21:52:55.2680168Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2680376Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2680450Z return mod(*inputs) 2025-08-14T21:52:55.2680672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2680752Z x = self.forward_features(x) 2025-08-14T21:52:55.2680997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2681062Z x = self.blocks(x) 2025-08-14T21:52:55.2681303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2681367Z x = self.se(x) 2025-08-14T21:52:55.2681600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:52:55.2681705Z x_se = self.conv_expand(x_se) 2025-08-14T21:52:55.2681711Z 2025-08-14T21:52:55.2681817Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2682029Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2682098Z return mod(*inputs) 2025-08-14T21:52:55.2682329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2682429Z x = self.forward_features(x) 2025-08-14T21:52:55.2682684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2682763Z x = self.blocks(x) 2025-08-14T21:52:55.2683004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2683069Z x = self.se(x) 2025-08-14T21:52:55.2683310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:52:55.2683404Z return x * self.gate(x_se) 2025-08-14T21:52:55.2683408Z 2025-08-14T21:52:55.2683513Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2683728Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2683797Z return mod(*inputs) 2025-08-14T21:52:55.2684020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2684100Z x = self.forward_features(x) 2025-08-14T21:52:55.2684343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2684416Z x = self.blocks(x) 2025-08-14T21:52:55.2684651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2684715Z x = self.se(x) 2025-08-14T21:52:55.2684957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:52:55.2685031Z return x * self.gate(x_se) 2025-08-14T21:52:55.2685035Z 2025-08-14T21:52:55.2685124Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2685231Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2685457Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2685537Z return mod(*inputs) 2025-08-14T21:52:55.2685760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2685837Z x = self.forward_features(x) 2025-08-14T21:52:55.2686088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2686159Z x = self.blocks(x) 2025-08-14T21:52:55.2686405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.2686482Z x = self.conv_pwl(x) 2025-08-14T21:52:55.2686699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2686820Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2687055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2687166Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2687170Z 2025-08-14T21:52:55.2687263Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2687372Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2687583Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2687657Z return mod(*inputs) 2025-08-14T21:52:55.2687881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2687984Z x = self.forward_features(x) 2025-08-14T21:52:55.2688225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2688291Z x = self.blocks(x) 2025-08-14T21:52:55.2688532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.2688620Z x = self.conv_pwl(x) 2025-08-14T21:52:55.2688847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2688954Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2689179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2689292Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2689297Z 2025-08-14T21:52:55.2689378Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2689485Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2689594Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2689799Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2689875Z return mod(*inputs) 2025-08-14T21:52:55.2690098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2690173Z x = self.forward_features(x) 2025-08-14T21:52:55.2690422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2690488Z x = self.blocks(x) 2025-08-14T21:52:55.2690728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.2690798Z x = self.conv_pwl(x) 2025-08-14T21:52:55.2691017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.2691095Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.2691098Z 2025-08-14T21:52:55.2691205Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2691412Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2691505Z return mod(*inputs) 2025-08-14T21:52:55.2691728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2691810Z x = self.forward_features(x) 2025-08-14T21:52:55.2692051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2692117Z x = self.blocks(x) 2025-08-14T21:52:55.2692362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:52:55.2692443Z x = self.drop_path(x) + shortcut 2025-08-14T21:52:55.2692448Z 2025-08-14T21:52:55.2692555Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2692775Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2692846Z return mod(*inputs) 2025-08-14T21:52:55.2693081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2693161Z x = self.forward_features(x) 2025-08-14T21:52:55.2693409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2693486Z x = self.blocks(x) 2025-08-14T21:52:55.2693726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:52:55.2693796Z x = self.conv_pw(x) 2025-08-14T21:52:55.2694030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2694170Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2694402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2694512Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2694515Z 2025-08-14T21:52:55.2694644Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2694858Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2694925Z return mod(*inputs) 2025-08-14T21:52:55.2695154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2695230Z x = self.forward_features(x) 2025-08-14T21:52:55.2695479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2695558Z x = self.blocks(x) 2025-08-14T21:52:55.2695823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:52:55.2695892Z x = self.conv_pw(x) 2025-08-14T21:52:55.2696120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2696232Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2696606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2696727Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2696731Z 2025-08-14T21:52:55.2696817Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2696910Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2697024Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2697239Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2697321Z return mod(*inputs) 2025-08-14T21:52:55.2697548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2697632Z x = self.forward_features(x) 2025-08-14T21:52:55.2697927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2698001Z x = self.blocks(x) 2025-08-14T21:52:55.2698257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:52:55.2698325Z x = self.conv_pw(x) 2025-08-14T21:52:55.2698547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.2698626Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.2698629Z 2025-08-14T21:52:55.2698741Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2698959Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2699031Z return mod(*inputs) 2025-08-14T21:52:55.2699257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2699340Z x = self.forward_features(x) 2025-08-14T21:52:55.2699593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2699662Z x = self.blocks(x) 2025-08-14T21:52:55.2699914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:52:55.2699982Z x = self.bn1(x) 2025-08-14T21:52:55.2700207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:52:55.2700278Z x = F.batch_norm( 2025-08-14T21:52:55.2700310Z 2025-08-14T21:52:55.2700422Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2700642Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2700710Z return mod(*inputs) 2025-08-14T21:52:55.2700944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2701020Z x = self.forward_features(x) 2025-08-14T21:52:55.2701293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2701372Z x = self.blocks(x) 2025-08-14T21:52:55.2701617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:52:55.2701684Z x = self.bn1(x) 2025-08-14T21:52:55.2701903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:52:55.2701970Z x = self.act(x) 2025-08-14T21:52:55.2701974Z 2025-08-14T21:52:55.2702095Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2702206Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2702415Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2702490Z return mod(*inputs) 2025-08-14T21:52:55.2702716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2702791Z x = self.forward_features(x) 2025-08-14T21:52:55.2703046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2703114Z x = self.blocks(x) 2025-08-14T21:52:55.2703362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2703433Z x = self.conv_dw(x) 2025-08-14T21:52:55.2703653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2703774Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2704004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2704114Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2704137Z 2025-08-14T21:52:55.2704232Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2704341Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2704557Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2704627Z return mod(*inputs) 2025-08-14T21:52:55.2704853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2704937Z x = self.forward_features(x) 2025-08-14T21:52:55.2705187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2705256Z x = self.blocks(x) 2025-08-14T21:52:55.2705507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2705575Z x = self.conv_dw(x) 2025-08-14T21:52:55.2705804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2705916Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2706147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2706264Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2706268Z 2025-08-14T21:52:55.2706352Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2706467Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2706699Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2706771Z return mod(*inputs) 2025-08-14T21:52:55.2707008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2707084Z x = self.forward_features(x) 2025-08-14T21:52:55.2707354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2707434Z x = self.blocks(x) 2025-08-14T21:52:55.2707676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2707753Z x = self.conv_dw(x) 2025-08-14T21:52:55.2707974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2708085Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2708325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2708453Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2708457Z 2025-08-14T21:52:55.2708541Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2708658Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2708874Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2708950Z return mod(*inputs) 2025-08-14T21:52:55.2709176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2709251Z x = self.forward_features(x) 2025-08-14T21:52:55.2709507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2709576Z x = self.blocks(x) 2025-08-14T21:52:55.2709818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2709898Z x = self.conv_dw(x) 2025-08-14T21:52:55.2710119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2710234Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2710482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2710594Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2710597Z 2025-08-14T21:52:55.2710689Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2710772Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2710853Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2710942Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2711052Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2711272Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2711343Z return mod(*inputs) 2025-08-14T21:52:55.2711572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2711656Z x = self.forward_features(x) 2025-08-14T21:52:55.2711916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2711986Z x = self.blocks(x) 2025-08-14T21:52:55.2712237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2712306Z x = self.conv_dw(x) 2025-08-14T21:52:55.2712532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.2712609Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.2712613Z 2025-08-14T21:52:55.2712696Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2712910Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2713132Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2713203Z return mod(*inputs) 2025-08-14T21:52:55.2713438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2713515Z x = self.forward_features(x) 2025-08-14T21:52:55.2713799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2713875Z x = self.blocks(x) 2025-08-14T21:52:55.2714120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2714197Z x = self.se(x) 2025-08-14T21:52:55.2714439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:52:55.2714529Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:52:55.2714552Z 2025-08-14T21:52:55.2714664Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2714877Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2714957Z return mod(*inputs) 2025-08-14T21:52:55.2715189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2715267Z x = self.forward_features(x) 2025-08-14T21:52:55.2715527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2715595Z x = self.blocks(x) 2025-08-14T21:52:55.2715843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2715910Z x = self.se(x) 2025-08-14T21:52:55.2716150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:52:55.2716239Z x_se = self.conv_reduce(x_se) 2025-08-14T21:52:55.2716243Z 2025-08-14T21:52:55.2716352Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2716563Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2716640Z return mod(*inputs) 2025-08-14T21:52:55.2716895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2716978Z x = self.forward_features(x) 2025-08-14T21:52:55.2717229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2717296Z x = self.blocks(x) 2025-08-14T21:52:55.2717546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2717614Z x = self.se(x) 2025-08-14T21:52:55.2717858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:52:55.2717943Z x_se = self.act1(x_se) 2025-08-14T21:52:55.2717947Z 2025-08-14T21:52:55.2718057Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2718274Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2718344Z return mod(*inputs) 2025-08-14T21:52:55.2718570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2718652Z x = self.forward_features(x) 2025-08-14T21:52:55.2718900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2718969Z x = self.blocks(x) 2025-08-14T21:52:55.2719219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2719309Z x = self.se(x) 2025-08-14T21:52:55.2719564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:52:55.2719644Z x_se = self.conv_expand(x_se) 2025-08-14T21:52:55.2719648Z 2025-08-14T21:52:55.2719757Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2719999Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2720072Z return mod(*inputs) 2025-08-14T21:52:55.2720310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2720387Z x = self.forward_features(x) 2025-08-14T21:52:55.2720637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2720715Z x = self.blocks(x) 2025-08-14T21:52:55.2720958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2721046Z x = self.se(x) 2025-08-14T21:52:55.2721295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:52:55.2721372Z return x * self.gate(x_se) 2025-08-14T21:52:55.2721376Z 2025-08-14T21:52:55.2721494Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2721710Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2721792Z return mod(*inputs) 2025-08-14T21:52:55.2722026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2722099Z x = self.forward_features(x) 2025-08-14T21:52:55.2722347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2722424Z x = self.blocks(x) 2025-08-14T21:52:55.2722665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2722739Z x = self.se(x) 2025-08-14T21:52:55.2722979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:52:55.2723053Z return x * self.gate(x_se) 2025-08-14T21:52:55.2723075Z 2025-08-14T21:52:55.2723183Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2723290Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2723499Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2723581Z return mod(*inputs) 2025-08-14T21:52:55.2723801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2723880Z x = self.forward_features(x) 2025-08-14T21:52:55.2724123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2724192Z x = self.blocks(x) 2025-08-14T21:52:55.2724435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.2724507Z x = self.conv_pwl(x) 2025-08-14T21:52:55.2724726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2724847Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2725074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2725189Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2725193Z 2025-08-14T21:52:55.2725276Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2725381Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2725614Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2725684Z return mod(*inputs) 2025-08-14T21:52:55.2725910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2725984Z x = self.forward_features(x) 2025-08-14T21:52:55.2726246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2726324Z x = self.blocks(x) 2025-08-14T21:52:55.2726567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.2726638Z x = self.conv_pwl(x) 2025-08-14T21:52:55.2726875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2726987Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2727227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2727370Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2727374Z 2025-08-14T21:52:55.2727459Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2727549Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2727661Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2727887Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2727963Z return mod(*inputs) 2025-08-14T21:52:55.2728193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2728276Z x = self.forward_features(x) 2025-08-14T21:52:55.2728528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2728598Z x = self.blocks(x) 2025-08-14T21:52:55.2728846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.2728922Z x = self.conv_pwl(x) 2025-08-14T21:52:55.2729143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.2729223Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.2729227Z 2025-08-14T21:52:55.2729357Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2729580Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2729652Z return mod(*inputs) 2025-08-14T21:52:55.2729881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2729966Z x = self.forward_features(x) 2025-08-14T21:52:55.2730217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2730288Z x = self.blocks(x) 2025-08-14T21:52:55.2730539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:52:55.2730619Z x = self.drop_path(x) + shortcut 2025-08-14T21:52:55.2730623Z 2025-08-14T21:52:55.2730738Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2730965Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2731035Z return mod(*inputs) 2025-08-14T21:52:55.2731268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2731341Z x = self.forward_features(x) 2025-08-14T21:52:55.2731597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2731667Z x = self.blocks(x) 2025-08-14T21:52:55.2731940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:52:55.2732018Z x = self.conv_pw(x) 2025-08-14T21:52:55.2732250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2732360Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2732619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2732732Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2732736Z 2025-08-14T21:52:55.2732852Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2733078Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2733148Z return mod(*inputs) 2025-08-14T21:52:55.2733380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2733459Z x = self.forward_features(x) 2025-08-14T21:52:55.2733727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2733804Z x = self.blocks(x) 2025-08-14T21:52:55.2734047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:52:55.2734124Z x = self.conv_pw(x) 2025-08-14T21:52:55.2734346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2734457Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2734695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2734804Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2734808Z 2025-08-14T21:52:55.2734902Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2734989Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2735101Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2735317Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2735388Z return mod(*inputs) 2025-08-14T21:52:55.2735636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2735724Z x = self.forward_features(x) 2025-08-14T21:52:55.2735976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2736053Z x = self.blocks(x) 2025-08-14T21:52:55.2736293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:52:55.2736363Z x = self.conv_pw(x) 2025-08-14T21:52:55.2736593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.2736668Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.2736672Z 2025-08-14T21:52:55.2736784Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2736999Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2737069Z return mod(*inputs) 2025-08-14T21:52:55.2737305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2737381Z x = self.forward_features(x) 2025-08-14T21:52:55.2737629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2737704Z x = self.blocks(x) 2025-08-14T21:52:55.2737945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:52:55.2738014Z x = self.bn1(x) 2025-08-14T21:52:55.2738259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:52:55.2738329Z x = F.batch_norm( 2025-08-14T21:52:55.2738333Z 2025-08-14T21:52:55.2738448Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2738659Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2738730Z return mod(*inputs) 2025-08-14T21:52:55.2738983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2739060Z x = self.forward_features(x) 2025-08-14T21:52:55.2739312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2739388Z x = self.blocks(x) 2025-08-14T21:52:55.2739631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:52:55.2739706Z x = self.bn1(x) 2025-08-14T21:52:55.2739950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:52:55.2740017Z x = self.act(x) 2025-08-14T21:52:55.2740021Z 2025-08-14T21:52:55.2740115Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2740224Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2740441Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2740520Z return mod(*inputs) 2025-08-14T21:52:55.2740744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2740831Z x = self.forward_features(x) 2025-08-14T21:52:55.2741080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2741149Z x = self.blocks(x) 2025-08-14T21:52:55.2741400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2741473Z x = self.conv_dw(x) 2025-08-14T21:52:55.2741697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2741815Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2742068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2742190Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2742194Z 2025-08-14T21:52:55.2742278Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2742387Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2742609Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2742678Z return mod(*inputs) 2025-08-14T21:52:55.2742913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2742991Z x = self.forward_features(x) 2025-08-14T21:52:55.2743240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2743313Z x = self.blocks(x) 2025-08-14T21:52:55.2743559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2743627Z x = self.conv_dw(x) 2025-08-14T21:52:55.2743855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2743967Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2744205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2744312Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2744337Z 2025-08-14T21:52:55.2744423Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2744539Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2744752Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2744822Z return mod(*inputs) 2025-08-14T21:52:55.2745071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2745149Z x = self.forward_features(x) 2025-08-14T21:52:55.2745409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2745479Z x = self.blocks(x) 2025-08-14T21:52:55.2745731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2745811Z x = self.conv_dw(x) 2025-08-14T21:52:55.2746036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2746164Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2746397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2746504Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2746509Z 2025-08-14T21:52:55.2746602Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2746713Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2746922Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2747000Z return mod(*inputs) 2025-08-14T21:52:55.2747225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2747309Z x = self.forward_features(x) 2025-08-14T21:52:55.2747558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2747627Z x = self.blocks(x) 2025-08-14T21:52:55.2747873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2747942Z x = self.conv_dw(x) 2025-08-14T21:52:55.2748179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2748299Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2748529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2748645Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2748648Z 2025-08-14T21:52:55.2748735Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2748819Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2748911Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2748996Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2749106Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2749324Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2749395Z return mod(*inputs) 2025-08-14T21:52:55.2749631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2749708Z x = self.forward_features(x) 2025-08-14T21:52:55.2749957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2750034Z x = self.blocks(x) 2025-08-14T21:52:55.2750277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2750347Z x = self.conv_dw(x) 2025-08-14T21:52:55.2750576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.2750673Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.2750677Z 2025-08-14T21:52:55.2750766Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2750877Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2751090Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2751168Z return mod(*inputs) 2025-08-14T21:52:55.2751413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2751524Z x = self.forward_features(x) 2025-08-14T21:52:55.2751786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2751855Z x = self.blocks(x) 2025-08-14T21:52:55.2752104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2752173Z x = self.se(x) 2025-08-14T21:52:55.2752441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:52:55.2752528Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:52:55.2752532Z 2025-08-14T21:52:55.2752642Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2753082Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2753169Z return mod(*inputs) 2025-08-14T21:52:55.2753397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2753481Z x = self.forward_features(x) 2025-08-14T21:52:55.2753727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2753797Z x = self.blocks(x) 2025-08-14T21:52:55.2754048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2754118Z x = self.se(x) 2025-08-14T21:52:55.2754360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:52:55.2754446Z x_se = self.conv_reduce(x_se) 2025-08-14T21:52:55.2754450Z 2025-08-14T21:52:55.2754584Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2754806Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2754878Z return mod(*inputs) 2025-08-14T21:52:55.2755109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2755192Z x = self.forward_features(x) 2025-08-14T21:52:55.2755442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2755521Z x = self.blocks(x) 2025-08-14T21:52:55.2755763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2755830Z x = self.se(x) 2025-08-14T21:52:55.2756081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:52:55.2756154Z x_se = self.act1(x_se) 2025-08-14T21:52:55.2756160Z 2025-08-14T21:52:55.2756274Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2756503Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2756573Z return mod(*inputs) 2025-08-14T21:52:55.2756810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2756887Z x = self.forward_features(x) 2025-08-14T21:52:55.2757137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2757238Z x = self.blocks(x) 2025-08-14T21:52:55.2757478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2757543Z x = self.se(x) 2025-08-14T21:52:55.2757791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:52:55.2757870Z x_se = self.conv_expand(x_se) 2025-08-14T21:52:55.2757892Z 2025-08-14T21:52:55.2758012Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2758221Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2758291Z return mod(*inputs) 2025-08-14T21:52:55.2758522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2758597Z x = self.forward_features(x) 2025-08-14T21:52:55.2758857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2758947Z x = self.blocks(x) 2025-08-14T21:52:55.2759183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2759252Z x = self.se(x) 2025-08-14T21:52:55.2759489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:52:55.2759562Z return x * self.gate(x_se) 2025-08-14T21:52:55.2759566Z 2025-08-14T21:52:55.2759683Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2759888Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2759961Z return mod(*inputs) 2025-08-14T21:52:55.2760183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2760257Z x = self.forward_features(x) 2025-08-14T21:52:55.2760510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2760577Z x = self.blocks(x) 2025-08-14T21:52:55.2760815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2760887Z x = self.se(x) 2025-08-14T21:52:55.2761144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:52:55.2761228Z return x * self.gate(x_se) 2025-08-14T21:52:55.2761231Z 2025-08-14T21:52:55.2761312Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2761418Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2761632Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2761700Z return mod(*inputs) 2025-08-14T21:52:55.2761922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2762010Z x = self.forward_features(x) 2025-08-14T21:52:55.2762261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2762337Z x = self.blocks(x) 2025-08-14T21:52:55.2762585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.2762659Z x = self.conv_pwl(x) 2025-08-14T21:52:55.2762889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2763001Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2763234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2763364Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2763389Z 2025-08-14T21:52:55.2763475Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2763590Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2763794Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2763863Z return mod(*inputs) 2025-08-14T21:52:55.2764113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2764189Z x = self.forward_features(x) 2025-08-14T21:52:55.2764431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2764505Z x = self.blocks(x) 2025-08-14T21:52:55.2764738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.2764816Z x = self.conv_pwl(x) 2025-08-14T21:52:55.2765034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2765161Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2765402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2765510Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2765515Z 2025-08-14T21:52:55.2765608Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2765691Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2765810Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2766021Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2766090Z return mod(*inputs) 2025-08-14T21:52:55.2766310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2766393Z x = self.forward_features(x) 2025-08-14T21:52:55.2766645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2766726Z x = self.blocks(x) 2025-08-14T21:52:55.2766968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.2767040Z x = self.conv_pwl(x) 2025-08-14T21:52:55.2767298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.2767375Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.2767378Z 2025-08-14T21:52:55.2767487Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2767714Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2767783Z return mod(*inputs) 2025-08-14T21:52:55.2768015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2768092Z x = self.forward_features(x) 2025-08-14T21:52:55.2768343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2768421Z x = self.blocks(x) 2025-08-14T21:52:55.2768665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:52:55.2768747Z x = self.drop_path(x) + shortcut 2025-08-14T21:52:55.2768757Z 2025-08-14T21:52:55.2768866Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2769088Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2769167Z return mod(*inputs) 2025-08-14T21:52:55.2769392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2769468Z x = self.forward_features(x) 2025-08-14T21:52:55.2769753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2769823Z x = self.blocks(x) 2025-08-14T21:52:55.2770058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:52:55.2770134Z x = self.conv_pw(x) 2025-08-14T21:52:55.2770138Z 2025-08-14T21:52:55.2770249Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2770535Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2770609Z return mod(*inputs) 2025-08-14T21:52:55.2770835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2770926Z x = self.forward_features(x) 2025-08-14T21:52:55.2771165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2771239Z x = self.blocks(x) 2025-08-14T21:52:55.2771502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2771571Z x = self.conv_dw(x) 2025-08-14T21:52:55.2771575Z 2025-08-14T21:52:55.2771665Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2771774Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2771998Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2772076Z return mod(*inputs) 2025-08-14T21:52:55.2772303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2772382Z x = self.forward_features(x) 2025-08-14T21:52:55.2772631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2772700Z x = self.blocks(x) 2025-08-14T21:52:55.2772952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2773019Z x = self.se(x) 2025-08-14T21:52:55.2773258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:52:55.2773346Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:52:55.2773350Z 2025-08-14T21:52:55.2773479Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2773697Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2773767Z return mod(*inputs) 2025-08-14T21:52:55.2773993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2774076Z x = self.forward_features(x) 2025-08-14T21:52:55.2774326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2774396Z x = self.blocks(x) 2025-08-14T21:52:55.2774645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2774711Z x = self.se(x) 2025-08-14T21:52:55.2774958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:52:55.2775037Z x_se = self.conv_reduce(x_se) 2025-08-14T21:52:55.2775041Z 2025-08-14T21:52:55.2775152Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2775368Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2775438Z return mod(*inputs) 2025-08-14T21:52:55.2775672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2775747Z x = self.forward_features(x) 2025-08-14T21:52:55.2775996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2776093Z x = self.blocks(x) 2025-08-14T21:52:55.2776337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2776404Z x = self.se(x) 2025-08-14T21:52:55.2776655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:52:55.2776746Z x_se = self.act1(x_se) 2025-08-14T21:52:55.2776751Z 2025-08-14T21:52:55.2776870Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2777080Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2777150Z return mod(*inputs) 2025-08-14T21:52:55.2777385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2777462Z x = self.forward_features(x) 2025-08-14T21:52:55.2777714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2777814Z x = self.blocks(x) 2025-08-14T21:52:55.2778060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2778135Z x = self.se(x) 2025-08-14T21:52:55.2778382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:52:55.2778460Z x_se = self.conv_expand(x_se) 2025-08-14T21:52:55.2778464Z 2025-08-14T21:52:55.2778581Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2778797Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2778866Z return mod(*inputs) 2025-08-14T21:52:55.2779105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2779183Z x = self.forward_features(x) 2025-08-14T21:52:55.2779445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2779513Z x = self.blocks(x) 2025-08-14T21:52:55.2779759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2779849Z x = self.se(x) 2025-08-14T21:52:55.2780093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:52:55.2780169Z return x * self.gate(x_se) 2025-08-14T21:52:55.2780181Z 2025-08-14T21:52:55.2780298Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2780507Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2780584Z return mod(*inputs) 2025-08-14T21:52:55.2780809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2780886Z x = self.forward_features(x) 2025-08-14T21:52:55.2781143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2781211Z x = self.blocks(x) 2025-08-14T21:52:55.2781461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2781529Z x = self.se(x) 2025-08-14T21:52:55.2781770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:52:55.2781854Z return x * self.gate(x_se) 2025-08-14T21:52:55.2781857Z 2025-08-14T21:52:55.2781967Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2782178Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2782279Z return mod(*inputs) 2025-08-14T21:52:55.2782510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2782598Z x = self.forward_features(x) 2025-08-14T21:52:55.2782849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2782920Z x = self.blocks(x) 2025-08-14T21:52:55.2783189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.2783263Z x = self.conv_pwl(x) 2025-08-14T21:52:55.2783267Z 2025-08-14T21:52:55.2783378Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2783598Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2783669Z return mod(*inputs) 2025-08-14T21:52:55.2783901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2783978Z x = self.forward_features(x) 2025-08-14T21:52:55.2784245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2784321Z x = self.blocks(x) 2025-08-14T21:52:55.2784563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-14T21:52:55.2784632Z x = self.bn3(x) 2025-08-14T21:52:55.2784855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:52:55.2784924Z x = F.batch_norm( 2025-08-14T21:52:55.2784927Z 2025-08-14T21:52:55.2785045Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2785254Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2785323Z return mod(*inputs) 2025-08-14T21:52:55.2785553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2785632Z x = self.forward_features(x) 2025-08-14T21:52:55.2785881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2785955Z x = self.blocks(x) 2025-08-14T21:52:55.2786212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:52:55.2786293Z x = self.conv_pw(x) 2025-08-14T21:52:55.2786515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2786629Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2786866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2786977Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2786982Z 2025-08-14T21:52:55.2787096Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2787307Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2787378Z return mod(*inputs) 2025-08-14T21:52:55.2787615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2787692Z x = self.forward_features(x) 2025-08-14T21:52:55.2787948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2788025Z x = self.blocks(x) 2025-08-14T21:52:55.2788267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:52:55.2788345Z x = self.conv_pw(x) 2025-08-14T21:52:55.2788568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2788708Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2788947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2789056Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2789060Z 2025-08-14T21:52:55.2789154Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2789239Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2789368Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2789590Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2789661Z return mod(*inputs) 2025-08-14T21:52:55.2789888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2789974Z x = self.forward_features(x) 2025-08-14T21:52:55.2790224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2790313Z x = self.blocks(x) 2025-08-14T21:52:55.2790565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:52:55.2790637Z x = self.conv_pw(x) 2025-08-14T21:52:55.2790870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.2790946Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.2790950Z 2025-08-14T21:52:55.2791062Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2791283Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2791355Z return mod(*inputs) 2025-08-14T21:52:55.2791592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2791669Z x = self.forward_features(x) 2025-08-14T21:52:55.2791922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2792003Z x = self.blocks(x) 2025-08-14T21:52:55.2792247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:52:55.2792314Z x = self.bn1(x) 2025-08-14T21:52:55.2792558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:52:55.2792630Z x = F.batch_norm( 2025-08-14T21:52:55.2792634Z 2025-08-14T21:52:55.2792834Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2793056Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2793126Z return mod(*inputs) 2025-08-14T21:52:55.2793364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2793445Z x = self.forward_features(x) 2025-08-14T21:52:55.2793694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2793775Z x = self.blocks(x) 2025-08-14T21:52:55.2794017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:52:55.2794094Z x = self.bn1(x) 2025-08-14T21:52:55.2794314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:52:55.2794381Z x = self.act(x) 2025-08-14T21:52:55.2794385Z 2025-08-14T21:52:55.2794481Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2794592Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2794800Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2794879Z return mod(*inputs) 2025-08-14T21:52:55.2795105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2795217Z x = self.forward_features(x) 2025-08-14T21:52:55.2795468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2795534Z x = self.blocks(x) 2025-08-14T21:52:55.2795784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2795877Z x = self.conv_dw(x) 2025-08-14T21:52:55.2796099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2796217Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2796595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2796725Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2796734Z 2025-08-14T21:52:55.2796822Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2796977Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2797201Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2797271Z return mod(*inputs) 2025-08-14T21:52:55.2797497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2797585Z x = self.forward_features(x) 2025-08-14T21:52:55.2797835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2797910Z x = self.blocks(x) 2025-08-14T21:52:55.2798283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2798354Z x = self.conv_dw(x) 2025-08-14T21:52:55.2798583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2798696Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2798933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2799044Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2799048Z 2025-08-14T21:52:55.2799160Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2799285Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2799502Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2799574Z return mod(*inputs) 2025-08-14T21:52:55.2799807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2799883Z x = self.forward_features(x) 2025-08-14T21:52:55.2800140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2800223Z x = self.blocks(x) 2025-08-14T21:52:55.2800458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2800531Z x = self.conv_dw(x) 2025-08-14T21:52:55.2800747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2800857Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2801098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2801206Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2801209Z 2025-08-14T21:52:55.2801304Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2801412Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2801656Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2801734Z return mod(*inputs) 2025-08-14T21:52:55.2801960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2802036Z x = self.forward_features(x) 2025-08-14T21:52:55.2802295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2802387Z x = self.blocks(x) 2025-08-14T21:52:55.2802641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2802712Z x = self.conv_dw(x) 2025-08-14T21:52:55.2802937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2803051Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2803275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2803405Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2803409Z 2025-08-14T21:52:55.2803493Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2803577Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2803666Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2803749Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2803860Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2804083Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2804153Z return mod(*inputs) 2025-08-14T21:52:55.2804385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2804461Z x = self.forward_features(x) 2025-08-14T21:52:55.2804709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2804788Z x = self.blocks(x) 2025-08-14T21:52:55.2805030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2805100Z x = self.conv_dw(x) 2025-08-14T21:52:55.2805347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.2805425Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.2805429Z 2025-08-14T21:52:55.2805520Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2805633Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2805843Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2805931Z return mod(*inputs) 2025-08-14T21:52:55.2806152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2806228Z x = self.forward_features(x) 2025-08-14T21:52:55.2806482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2806549Z x = self.blocks(x) 2025-08-14T21:52:55.2806799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2806867Z x = self.se(x) 2025-08-14T21:52:55.2807111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:52:55.2807199Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:52:55.2807203Z 2025-08-14T21:52:55.2807314Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2807530Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2807608Z return mod(*inputs) 2025-08-14T21:52:55.2807834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2807941Z x = self.forward_features(x) 2025-08-14T21:52:55.2808188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2808255Z x = self.blocks(x) 2025-08-14T21:52:55.2808507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2808591Z x = self.se(x) 2025-08-14T21:52:55.2808835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:52:55.2808918Z x_se = self.conv_reduce(x_se) 2025-08-14T21:52:55.2808922Z 2025-08-14T21:52:55.2809029Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2809238Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2809306Z return mod(*inputs) 2025-08-14T21:52:55.2809525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2809626Z x = self.forward_features(x) 2025-08-14T21:52:55.2809869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2809936Z x = self.blocks(x) 2025-08-14T21:52:55.2810179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2810243Z x = self.se(x) 2025-08-14T21:52:55.2810483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:52:55.2810558Z x_se = self.act1(x_se) 2025-08-14T21:52:55.2810562Z 2025-08-14T21:52:55.2810671Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2810889Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2810962Z return mod(*inputs) 2025-08-14T21:52:55.2811200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2811276Z x = self.forward_features(x) 2025-08-14T21:52:55.2811524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2811632Z x = self.blocks(x) 2025-08-14T21:52:55.2811878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2811943Z x = self.se(x) 2025-08-14T21:52:55.2812188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:52:55.2812264Z x_se = self.conv_expand(x_se) 2025-08-14T21:52:55.2812268Z 2025-08-14T21:52:55.2812385Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2812601Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2812670Z return mod(*inputs) 2025-08-14T21:52:55.2812895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2812967Z x = self.forward_features(x) 2025-08-14T21:52:55.2813208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2813283Z x = self.blocks(x) 2025-08-14T21:52:55.2813513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2813584Z x = self.se(x) 2025-08-14T21:52:55.2813813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:52:55.2813887Z return x * self.gate(x_se) 2025-08-14T21:52:55.2813891Z 2025-08-14T21:52:55.2814005Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2814230Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2814297Z return mod(*inputs) 2025-08-14T21:52:55.2814525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2814598Z x = self.forward_features(x) 2025-08-14T21:52:55.2814865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2814934Z x = self.blocks(x) 2025-08-14T21:52:55.2815174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2815248Z x = self.se(x) 2025-08-14T21:52:55.2815484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:52:55.2815559Z return x * self.gate(x_se) 2025-08-14T21:52:55.2815571Z 2025-08-14T21:52:55.2815655Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2815784Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2815998Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2816069Z return mod(*inputs) 2025-08-14T21:52:55.2816297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2816382Z x = self.forward_features(x) 2025-08-14T21:52:55.2816632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2816707Z x = self.blocks(x) 2025-08-14T21:52:55.2816955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.2817024Z x = self.conv_pwl(x) 2025-08-14T21:52:55.2817254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2817367Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2817590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2817706Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2817709Z 2025-08-14T21:52:55.2817809Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2817926Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2818134Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2818202Z return mod(*inputs) 2025-08-14T21:52:55.2818431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2818506Z x = self.forward_features(x) 2025-08-14T21:52:55.2818750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2818829Z x = self.blocks(x) 2025-08-14T21:52:55.2819064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.2819142Z x = self.conv_pwl(x) 2025-08-14T21:52:55.2819366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2819480Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2819721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2819831Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2819835Z 2025-08-14T21:52:55.2819926Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2820009Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2820119Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2820357Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2820429Z return mod(*inputs) 2025-08-14T21:52:55.2820652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2820736Z x = self.forward_features(x) 2025-08-14T21:52:55.2821008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2821079Z x = self.blocks(x) 2025-08-14T21:52:55.2821329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.2821401Z x = self.conv_pwl(x) 2025-08-14T21:52:55.2821628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.2821701Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.2821707Z 2025-08-14T21:52:55.2821816Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2822057Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2822127Z return mod(*inputs) 2025-08-14T21:52:55.2822360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2822436Z x = self.forward_features(x) 2025-08-14T21:52:55.2822691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2822767Z x = self.blocks(x) 2025-08-14T21:52:55.2823010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:52:55.2823090Z x = self.drop_path(x) + shortcut 2025-08-14T21:52:55.2823093Z 2025-08-14T21:52:55.2823209Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2823421Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2823499Z return mod(*inputs) 2025-08-14T21:52:55.2823726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2823802Z x = self.forward_features(x) 2025-08-14T21:52:55.2824079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2824152Z x = self.blocks(x) 2025-08-14T21:52:55.2824396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:52:55.2824472Z x = self.conv_pw(x) 2025-08-14T21:52:55.2824694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2824811Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2825042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2825155Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2825158Z 2025-08-14T21:52:55.2825275Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2825485Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2825562Z return mod(*inputs) 2025-08-14T21:52:55.2825791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2825867Z x = self.forward_features(x) 2025-08-14T21:52:55.2826126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2826195Z x = self.blocks(x) 2025-08-14T21:52:55.2826438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:52:55.2826538Z x = self.conv_pw(x) 2025-08-14T21:52:55.2826760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2826878Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2827111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2827237Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2827241Z 2025-08-14T21:52:55.2827337Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2827422Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2827531Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2827752Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2827820Z return mod(*inputs) 2025-08-14T21:52:55.2828055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2828155Z x = self.forward_features(x) 2025-08-14T21:52:55.2828404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2828480Z x = self.blocks(x) 2025-08-14T21:52:55.2828724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:52:55.2828796Z x = self.conv_pw(x) 2025-08-14T21:52:55.2829024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.2829096Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.2829099Z 2025-08-14T21:52:55.2829214Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2829423Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2829492Z return mod(*inputs) 2025-08-14T21:52:55.2829728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2829804Z x = self.forward_features(x) 2025-08-14T21:52:55.2830052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2830127Z x = self.blocks(x) 2025-08-14T21:52:55.2830392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:52:55.2830469Z x = self.bn1(x) 2025-08-14T21:52:55.2830683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:52:55.2830752Z x = F.batch_norm( 2025-08-14T21:52:55.2830756Z 2025-08-14T21:52:55.2830874Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2831083Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2831153Z return mod(*inputs) 2025-08-14T21:52:55.2831389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2831465Z x = self.forward_features(x) 2025-08-14T21:52:55.2831724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2831794Z x = self.blocks(x) 2025-08-14T21:52:55.2832040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:52:55.2832117Z x = self.bn1(x) 2025-08-14T21:52:55.2832334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:52:55.2832401Z x = self.act(x) 2025-08-14T21:52:55.2832412Z 2025-08-14T21:52:55.2832499Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2832610Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2832962Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2833041Z return mod(*inputs) 2025-08-14T21:52:55.2833266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2833354Z x = self.forward_features(x) 2025-08-14T21:52:55.2833626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2833708Z x = self.blocks(x) 2025-08-14T21:52:55.2833953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2834025Z x = self.conv_dw(x) 2025-08-14T21:52:55.2834253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2834366Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2834606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2834756Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2834760Z 2025-08-14T21:52:55.2834844Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2834965Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2835177Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2835248Z return mod(*inputs) 2025-08-14T21:52:55.2835480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2835556Z x = self.forward_features(x) 2025-08-14T21:52:55.2835803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2835880Z x = self.blocks(x) 2025-08-14T21:52:55.2836120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2836201Z x = self.conv_dw(x) 2025-08-14T21:52:55.2836420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2836530Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2836784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2836894Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2836898Z 2025-08-14T21:52:55.2836989Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2837109Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2837318Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2837394Z return mod(*inputs) 2025-08-14T21:52:55.2837627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2837705Z x = self.forward_features(x) 2025-08-14T21:52:55.2837954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2838021Z x = self.blocks(x) 2025-08-14T21:52:55.2838264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2838332Z x = self.conv_dw(x) 2025-08-14T21:52:55.2838544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2838659Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2838879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2838982Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2839010Z 2025-08-14T21:52:55.2839100Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2839209Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2839424Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2839495Z return mod(*inputs) 2025-08-14T21:52:55.2839725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2839828Z x = self.forward_features(x) 2025-08-14T21:52:55.2840080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2840149Z x = self.blocks(x) 2025-08-14T21:52:55.2840399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2840468Z x = self.conv_dw(x) 2025-08-14T21:52:55.2840694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2840826Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2841054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2841168Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2841172Z 2025-08-14T21:52:55.2841261Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2841350Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2841445Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2841529Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2841648Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2841860Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2841934Z return mod(*inputs) 2025-08-14T21:52:55.2842169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2842251Z x = self.forward_features(x) 2025-08-14T21:52:55.2842504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2842583Z x = self.blocks(x) 2025-08-14T21:52:55.2842845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2842925Z x = self.conv_dw(x) 2025-08-14T21:52:55.2843144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.2843215Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.2843219Z 2025-08-14T21:52:55.2843309Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2843417Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2843626Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2843704Z return mod(*inputs) 2025-08-14T21:52:55.2843930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2844014Z x = self.forward_features(x) 2025-08-14T21:52:55.2844260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2844330Z x = self.blocks(x) 2025-08-14T21:52:55.2844584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2844652Z x = self.se(x) 2025-08-14T21:52:55.2844892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:52:55.2844978Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:52:55.2844981Z 2025-08-14T21:52:55.2845092Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2845338Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2845410Z return mod(*inputs) 2025-08-14T21:52:55.2845637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2845721Z x = self.forward_features(x) 2025-08-14T21:52:55.2845975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2846069Z x = self.blocks(x) 2025-08-14T21:52:55.2846314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2846381Z x = self.se(x) 2025-08-14T21:52:55.2846631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:52:55.2846710Z x_se = self.conv_reduce(x_se) 2025-08-14T21:52:55.2846714Z 2025-08-14T21:52:55.2846833Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2847064Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2847131Z return mod(*inputs) 2025-08-14T21:52:55.2847358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2847431Z x = self.forward_features(x) 2025-08-14T21:52:55.2847676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2847751Z x = self.blocks(x) 2025-08-14T21:52:55.2847984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2848051Z x = self.se(x) 2025-08-14T21:52:55.2848300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:52:55.2848374Z x_se = self.act1(x_se) 2025-08-14T21:52:55.2848380Z 2025-08-14T21:52:55.2848498Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2848708Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2848780Z return mod(*inputs) 2025-08-14T21:52:55.2849017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2849116Z x = self.forward_features(x) 2025-08-14T21:52:55.2849377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2849453Z x = self.blocks(x) 2025-08-14T21:52:55.2849691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2849765Z x = self.se(x) 2025-08-14T21:52:55.2850009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:52:55.2850088Z x_se = self.conv_expand(x_se) 2025-08-14T21:52:55.2850094Z 2025-08-14T21:52:55.2850213Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2850422Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2850501Z return mod(*inputs) 2025-08-14T21:52:55.2850727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2866991Z x = self.forward_features(x) 2025-08-14T21:52:55.2867480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2867561Z x = self.blocks(x) 2025-08-14T21:52:55.2867829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2867907Z x = self.se(x) 2025-08-14T21:52:55.2868157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:52:55.2868373Z return x * self.gate(x_se) 2025-08-14T21:52:55.2868381Z 2025-08-14T21:52:55.2868515Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2868747Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2868833Z return mod(*inputs) 2025-08-14T21:52:55.2869112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2869198Z x = self.forward_features(x) 2025-08-14T21:52:55.2869461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2869533Z x = self.blocks(x) 2025-08-14T21:52:55.2869791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2869861Z x = self.se(x) 2025-08-14T21:52:55.2870104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:52:55.2870226Z return x * self.gate(x_se) 2025-08-14T21:52:55.2870231Z 2025-08-14T21:52:55.2870321Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2870449Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2870673Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2870748Z return mod(*inputs) 2025-08-14T21:52:55.2870987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2871067Z x = self.forward_features(x) 2025-08-14T21:52:55.2871321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2871400Z x = self.blocks(x) 2025-08-14T21:52:55.2871644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.2871732Z x = self.conv_pwl(x) 2025-08-14T21:52:55.2871957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2872083Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2872359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2872479Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2872483Z 2025-08-14T21:52:55.2872570Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2872691Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2872998Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2873083Z return mod(*inputs) 2025-08-14T21:52:55.2873311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2873395Z x = self.forward_features(x) 2025-08-14T21:52:55.2873654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2873721Z x = self.blocks(x) 2025-08-14T21:52:55.2873967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.2874053Z x = self.conv_pwl(x) 2025-08-14T21:52:55.2874276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2874399Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2874634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2874743Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2874770Z 2025-08-14T21:52:55.2874871Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2874955Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2875069Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2875291Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2875361Z return mod(*inputs) 2025-08-14T21:52:55.2875619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2875700Z x = self.forward_features(x) 2025-08-14T21:52:55.2875952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2876029Z x = self.blocks(x) 2025-08-14T21:52:55.2876275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.2876354Z x = self.conv_pwl(x) 2025-08-14T21:52:55.2876580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.2876673Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.2876678Z 2025-08-14T21:52:55.2876798Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2877011Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2877081Z return mod(*inputs) 2025-08-14T21:52:55.2877315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2877391Z x = self.forward_features(x) 2025-08-14T21:52:55.2877646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2877715Z x = self.blocks(x) 2025-08-14T21:52:55.2877958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:52:55.2878048Z x = self.drop_path(x) + shortcut 2025-08-14T21:52:55.2878054Z 2025-08-14T21:52:55.2878165Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2878373Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2878450Z return mod(*inputs) 2025-08-14T21:52:55.2878753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2878839Z x = self.forward_features(x) 2025-08-14T21:52:55.2879088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2879162Z x = self.blocks(x) 2025-08-14T21:52:55.2879409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:52:55.2879478Z x = self.conv_pw(x) 2025-08-14T21:52:55.2879690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2879810Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2880035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2880148Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2880153Z 2025-08-14T21:52:55.2880261Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2880462Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2880539Z return mod(*inputs) 2025-08-14T21:52:55.2880755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2880834Z x = self.forward_features(x) 2025-08-14T21:52:55.2881078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2881171Z x = self.blocks(x) 2025-08-14T21:52:55.2881416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:52:55.2881486Z x = self.conv_pw(x) 2025-08-14T21:52:55.2881699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2881833Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2882059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2882171Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2882176Z 2025-08-14T21:52:55.2882259Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2882343Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2882457Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2882663Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2882749Z return mod(*inputs) 2025-08-14T21:52:55.2882977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2883052Z x = self.forward_features(x) 2025-08-14T21:52:55.2883304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2883371Z x = self.blocks(x) 2025-08-14T21:52:55.2883606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:52:55.2883682Z x = self.conv_pw(x) 2025-08-14T21:52:55.2883895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.2883967Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.2883971Z 2025-08-14T21:52:55.2884087Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2884292Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2884368Z return mod(*inputs) 2025-08-14T21:52:55.2884587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2884661Z x = self.forward_features(x) 2025-08-14T21:52:55.2884932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2885001Z x = self.blocks(x) 2025-08-14T21:52:55.2885237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:52:55.2885311Z x = self.bn1(x) 2025-08-14T21:52:55.2885524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:52:55.2885600Z x = F.batch_norm( 2025-08-14T21:52:55.2885606Z 2025-08-14T21:52:55.2885716Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2885926Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2886006Z return mod(*inputs) 2025-08-14T21:52:55.2886239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2886320Z x = self.forward_features(x) 2025-08-14T21:52:55.2886563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2886630Z x = self.blocks(x) 2025-08-14T21:52:55.2886873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:52:55.2886941Z x = self.bn1(x) 2025-08-14T21:52:55.2887153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:52:55.2887248Z x = self.act(x) 2025-08-14T21:52:55.2887252Z 2025-08-14T21:52:55.2887337Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2887449Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2887650Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2887720Z return mod(*inputs) 2025-08-14T21:52:55.2887966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2888041Z x = self.forward_features(x) 2025-08-14T21:52:55.2888281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2888357Z x = self.blocks(x) 2025-08-14T21:52:55.2888597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2888672Z x = self.conv_dw(x) 2025-08-14T21:52:55.2888890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2889017Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2889246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2889352Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2889358Z 2025-08-14T21:52:55.2889444Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2889558Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2889761Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2889836Z return mod(*inputs) 2025-08-14T21:52:55.2890053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2890126Z x = self.forward_features(x) 2025-08-14T21:52:55.2890373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2890443Z x = self.blocks(x) 2025-08-14T21:52:55.2890673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2890747Z x = self.conv_dw(x) 2025-08-14T21:52:55.2890986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2891101Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2891332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2891438Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2891441Z 2025-08-14T21:52:55.2891531Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2891636Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2891848Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2891919Z return mod(*inputs) 2025-08-14T21:52:55.2892138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2892217Z x = self.forward_features(x) 2025-08-14T21:52:55.2892460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2892527Z x = self.blocks(x) 2025-08-14T21:52:55.2892767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2892834Z x = self.conv_dw(x) 2025-08-14T21:52:55.2893054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2893158Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2893758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2893872Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2893875Z 2025-08-14T21:52:55.2893957Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2894064Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2894315Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2894388Z return mod(*inputs) 2025-08-14T21:52:55.2894614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2894687Z x = self.forward_features(x) 2025-08-14T21:52:55.2894928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2895001Z x = self.blocks(x) 2025-08-14T21:52:55.2895240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2895329Z x = self.conv_dw(x) 2025-08-14T21:52:55.2895554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2895661Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2895900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2896005Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2896010Z 2025-08-14T21:52:55.2896092Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2896180Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2896258Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2896337Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2896631Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2896848Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2896929Z return mod(*inputs) 2025-08-14T21:52:55.2897153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2897227Z x = self.forward_features(x) 2025-08-14T21:52:55.2897542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2897613Z x = self.blocks(x) 2025-08-14T21:52:55.2897849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2897924Z x = self.conv_dw(x) 2025-08-14T21:52:55.2898138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.2898215Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.2898220Z 2025-08-14T21:52:55.2898302Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2898409Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2898625Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2898694Z return mod(*inputs) 2025-08-14T21:52:55.2898916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2899000Z x = self.forward_features(x) 2025-08-14T21:52:55.2899245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2899322Z x = self.blocks(x) 2025-08-14T21:52:55.2899559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2899626Z x = self.se(x) 2025-08-14T21:52:55.2899870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:52:55.2899984Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:52:55.2899989Z 2025-08-14T21:52:55.2900103Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2900307Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2900375Z return mod(*inputs) 2025-08-14T21:52:55.2900626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2900701Z x = self.forward_features(x) 2025-08-14T21:52:55.2900945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2901020Z x = self.blocks(x) 2025-08-14T21:52:55.2901253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2901326Z x = self.se(x) 2025-08-14T21:52:55.2901560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:52:55.2901666Z x_se = self.conv_reduce(x_se) 2025-08-14T21:52:55.2901670Z 2025-08-14T21:52:55.2901785Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2901990Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2902059Z return mod(*inputs) 2025-08-14T21:52:55.2902286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2902360Z x = self.forward_features(x) 2025-08-14T21:52:55.2902606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2902672Z x = self.blocks(x) 2025-08-14T21:52:55.2902904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2902977Z x = self.se(x) 2025-08-14T21:52:55.2903208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:52:55.2903280Z x_se = self.act1(x_se) 2025-08-14T21:52:55.2903291Z 2025-08-14T21:52:55.2903398Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2903624Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2903704Z return mod(*inputs) 2025-08-14T21:52:55.2903926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2903999Z x = self.forward_features(x) 2025-08-14T21:52:55.2904248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2904316Z x = self.blocks(x) 2025-08-14T21:52:55.2904549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2904622Z x = self.se(x) 2025-08-14T21:52:55.2904854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:52:55.2904936Z x_se = self.conv_expand(x_se) 2025-08-14T21:52:55.2904940Z 2025-08-14T21:52:55.2905046Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2905250Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2905326Z return mod(*inputs) 2025-08-14T21:52:55.2905549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2905632Z x = self.forward_features(x) 2025-08-14T21:52:55.2905884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2905953Z x = self.blocks(x) 2025-08-14T21:52:55.2906225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2906292Z x = self.se(x) 2025-08-14T21:52:55.2906536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:52:55.2906619Z return x * self.gate(x_se) 2025-08-14T21:52:55.2906622Z 2025-08-14T21:52:55.2906730Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2906959Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2907030Z return mod(*inputs) 2025-08-14T21:52:55.2907250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2907332Z x = self.forward_features(x) 2025-08-14T21:52:55.2907581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2907649Z x = self.blocks(x) 2025-08-14T21:52:55.2907893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2907973Z x = self.se(x) 2025-08-14T21:52:55.2908211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:52:55.2908285Z return x * self.gate(x_se) 2025-08-14T21:52:55.2908291Z 2025-08-14T21:52:55.2908374Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2908486Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2908689Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2908756Z return mod(*inputs) 2025-08-14T21:52:55.2908982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2909056Z x = self.forward_features(x) 2025-08-14T21:52:55.2909305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2909374Z x = self.blocks(x) 2025-08-14T21:52:55.2909605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.2909683Z x = self.conv_pwl(x) 2025-08-14T21:52:55.2909916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2910028Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2910258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2910364Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2910368Z 2025-08-14T21:52:55.2910457Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2910562Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2910764Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2910843Z return mod(*inputs) 2025-08-14T21:52:55.2911061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2911141Z x = self.forward_features(x) 2025-08-14T21:52:55.2911384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2911451Z x = self.blocks(x) 2025-08-14T21:52:55.2911692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.2911763Z x = self.conv_pwl(x) 2025-08-14T21:52:55.2911978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2912093Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2912340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2912451Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2912455Z 2025-08-14T21:52:55.2912542Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2912629Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2912738Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2913052Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2913138Z return mod(*inputs) 2025-08-14T21:52:55.2913368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2913453Z x = self.forward_features(x) 2025-08-14T21:52:55.2913702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2913775Z x = self.blocks(x) 2025-08-14T21:52:55.2914027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.2914126Z x = self.conv_pwl(x) 2025-08-14T21:52:55.2914349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.2914432Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.2914437Z 2025-08-14T21:52:55.2914552Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2914767Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2914837Z return mod(*inputs) 2025-08-14T21:52:55.2915070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2915150Z x = self.forward_features(x) 2025-08-14T21:52:55.2915389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2915459Z x = self.blocks(x) 2025-08-14T21:52:55.2915707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:52:55.2915787Z x = self.drop_path(x) + shortcut 2025-08-14T21:52:55.2915791Z 2025-08-14T21:52:55.2915906Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2916136Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2916207Z return mod(*inputs) 2025-08-14T21:52:55.2916442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2916516Z x = self.forward_features(x) 2025-08-14T21:52:55.2916768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2916836Z x = self.blocks(x) 2025-08-14T21:52:55.2917075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:52:55.2917151Z x = self.conv_pw(x) 2025-08-14T21:52:55.2917155Z 2025-08-14T21:52:55.2917262Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2917467Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2917545Z return mod(*inputs) 2025-08-14T21:52:55.2917774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2917854Z x = self.forward_features(x) 2025-08-14T21:52:55.2918100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2918168Z x = self.blocks(x) 2025-08-14T21:52:55.2918414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:52:55.2918502Z x = self.bn1(x) 2025-08-14T21:52:55.2918723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:52:55.2918799Z x = F.batch_norm( 2025-08-14T21:52:55.2918803Z 2025-08-14T21:52:55.2918911Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2919125Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2919212Z return mod(*inputs) 2025-08-14T21:52:55.2919438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2919518Z x = self.forward_features(x) 2025-08-14T21:52:55.2919766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2919835Z x = self.blocks(x) 2025-08-14T21:52:55.2920080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:52:55.2920169Z x = self.bn1(x) 2025-08-14T21:52:55.2920391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:52:55.2920457Z x = self.act(x) 2025-08-14T21:52:55.2920460Z 2025-08-14T21:52:55.2920568Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2920787Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2920857Z return mod(*inputs) 2025-08-14T21:52:55.2921089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2921165Z x = self.forward_features(x) 2025-08-14T21:52:55.2921416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2921494Z x = self.blocks(x) 2025-08-14T21:52:55.2921735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2921809Z x = self.conv_dw(x) 2025-08-14T21:52:55.2922039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2922151Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2922406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2922519Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2922740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:52:55.2922822Z return conv2d_same( 2025-08-14T21:52:55.2923051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:52:55.2923165Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:52:55.2923389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:52:55.2923554Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:52:55.2923771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:52:55.2923885Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:52:55.2923889Z 2025-08-14T21:52:55.2924003Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2924221Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2924293Z return mod(*inputs) 2025-08-14T21:52:55.2924528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2924605Z x = self.forward_features(x) 2025-08-14T21:52:55.2924866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2924964Z x = self.blocks(x) 2025-08-14T21:52:55.2925200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2925269Z x = self.conv_dw(x) 2025-08-14T21:52:55.2925494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2925623Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2925860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2925966Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2926177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:52:55.2926252Z return conv2d_same( 2025-08-14T21:52:55.2926480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:52:55.2926642Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:52:55.2926646Z 2025-08-14T21:52:55.2926762Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2926968Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2927044Z return mod(*inputs) 2025-08-14T21:52:55.2927266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2927339Z x = self.forward_features(x) 2025-08-14T21:52:55.2927586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2927651Z x = self.blocks(x) 2025-08-14T21:52:55.2927887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2927963Z x = self.conv_dw(x) 2025-08-14T21:52:55.2928178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2928290Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2928531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2928639Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2928858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:52:55.2928927Z return conv2d_same( 2025-08-14T21:52:55.2929156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:52:55.2929265Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:52:55.2929471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:52:55.2929632Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:52:55.2929832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:52:55.2929935Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:52:55.2929941Z 2025-08-14T21:52:55.2930059Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2930266Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2930341Z return mod(*inputs) 2025-08-14T21:52:55.2930559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2930631Z x = self.forward_features(x) 2025-08-14T21:52:55.2930887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2930975Z x = self.blocks(x) 2025-08-14T21:52:55.2931212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2931287Z x = self.conv_dw(x) 2025-08-14T21:52:55.2931499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2931629Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2931853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2931957Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2932173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:52:55.2932240Z return conv2d_same( 2025-08-14T21:52:55.2932466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:52:55.2932624Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:52:55.2932628Z 2025-08-14T21:52:55.2932733Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2932943Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2933015Z return mod(*inputs) 2025-08-14T21:52:55.2933234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2933315Z x = self.forward_features(x) 2025-08-14T21:52:55.2933556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2933629Z x = self.blocks(x) 2025-08-14T21:52:55.2933864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2933932Z x = self.conv_dw(x) 2025-08-14T21:52:55.2934153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2934260Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2934480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2934609Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2934825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:52:55.2934898Z return conv2d_same( 2025-08-14T21:52:55.2935119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:52:55.2935227Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:52:55.2935446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:52:55.2935592Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:52:55.2935796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:52:55.2935898Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:52:55.2935902Z 2025-08-14T21:52:55.2936011Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2936228Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2936295Z return mod(*inputs) 2025-08-14T21:52:55.2936512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2936592Z x = self.forward_features(x) 2025-08-14T21:52:55.2936833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2936925Z x = self.blocks(x) 2025-08-14T21:52:55.2937164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2937235Z x = self.conv_dw(x) 2025-08-14T21:52:55.2937457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2937565Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2937808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2937921Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2938137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:52:55.2938213Z return conv2d_same( 2025-08-14T21:52:55.2938438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:52:55.2938573Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:52:55.2938594Z 2025-08-14T21:52:55.2938711Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2938918Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2938994Z return mod(*inputs) 2025-08-14T21:52:55.2939217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2939292Z x = self.forward_features(x) 2025-08-14T21:52:55.2939539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2939609Z x = self.blocks(x) 2025-08-14T21:52:55.2939844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2939918Z x = self.conv_dw(x) 2025-08-14T21:52:55.2940136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2940250Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2940480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2940609Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2940843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:52:55.2940914Z return conv2d_same( 2025-08-14T21:52:55.2941148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:52:55.2941262Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:52:55.2941482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:52:55.2941640Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:52:55.2941846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:52:55.2941952Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:52:55.2941956Z 2025-08-14T21:52:55.2942073Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2942290Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2942363Z return mod(*inputs) 2025-08-14T21:52:55.2942593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2942668Z x = self.forward_features(x) 2025-08-14T21:52:55.2942927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2942993Z x = self.blocks(x) 2025-08-14T21:52:55.2943254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2943331Z x = self.conv_dw(x) 2025-08-14T21:52:55.2943552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2943668Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2943915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2944023Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2944248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:52:55.2944318Z return conv2d_same( 2025-08-14T21:52:55.2944545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:52:55.2944694Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:52:55.2944716Z 2025-08-14T21:52:55.2944808Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2944900Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2944984Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2945063Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2945179Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2945393Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2945463Z return mod(*inputs) 2025-08-14T21:52:55.2945696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2945772Z x = self.forward_features(x) 2025-08-14T21:52:55.2946027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2946097Z x = self.blocks(x) 2025-08-14T21:52:55.2946343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2946422Z x = self.conv_dw(x) 2025-08-14T21:52:55.2946644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.2946717Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.2946721Z 2025-08-14T21:52:55.2946830Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2946947Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2947171Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2947241Z return mod(*inputs) 2025-08-14T21:52:55.2947465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2947548Z x = self.forward_features(x) 2025-08-14T21:52:55.2947798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2947871Z x = self.blocks(x) 2025-08-14T21:52:55.2948118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2948185Z x = self.se(x) 2025-08-14T21:52:55.2948435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:52:55.2948519Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:52:55.2948523Z 2025-08-14T21:52:55.2948631Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2948847Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2948916Z return mod(*inputs) 2025-08-14T21:52:55.2949149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2949223Z x = self.forward_features(x) 2025-08-14T21:52:55.2949505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2949582Z x = self.blocks(x) 2025-08-14T21:52:55.2949824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2949891Z x = self.se(x) 2025-08-14T21:52:55.2950155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:52:55.2950238Z x_se = self.conv_reduce(x_se) 2025-08-14T21:52:55.2950242Z 2025-08-14T21:52:55.2950360Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2950573Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2950643Z return mod(*inputs) 2025-08-14T21:52:55.2950878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2950955Z x = self.forward_features(x) 2025-08-14T21:52:55.2951223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2951301Z x = self.blocks(x) 2025-08-14T21:52:55.2951540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2951615Z x = self.se(x) 2025-08-14T21:52:55.2951857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:52:55.2951931Z x_se = self.act1(x_se) 2025-08-14T21:52:55.2951935Z 2025-08-14T21:52:55.2952053Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2952260Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2952329Z return mod(*inputs) 2025-08-14T21:52:55.2952562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2952640Z x = self.forward_features(x) 2025-08-14T21:52:55.2952994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2953068Z x = self.blocks(x) 2025-08-14T21:52:55.2953338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2953417Z x = self.se(x) 2025-08-14T21:52:55.2953659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:52:55.2953739Z x_se = self.conv_expand(x_se) 2025-08-14T21:52:55.2953751Z 2025-08-14T21:52:55.2953862Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2954073Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2954153Z return mod(*inputs) 2025-08-14T21:52:55.2954382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2954461Z x = self.forward_features(x) 2025-08-14T21:52:55.2954722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2954791Z x = self.blocks(x) 2025-08-14T21:52:55.2955045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2955113Z x = self.se(x) 2025-08-14T21:52:55.2955358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:52:55.2955443Z return x * self.gate(x_se) 2025-08-14T21:52:55.2955447Z 2025-08-14T21:52:55.2955557Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2955767Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2955868Z return mod(*inputs) 2025-08-14T21:52:55.2956097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2956179Z x = self.forward_features(x) 2025-08-14T21:52:55.2956429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2956500Z x = self.blocks(x) 2025-08-14T21:52:55.2956768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2956836Z x = self.se(x) 2025-08-14T21:52:55.2957077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:52:55.2957159Z return x * self.gate(x_se) 2025-08-14T21:52:55.2957163Z 2025-08-14T21:52:55.2957270Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2957490Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2957578Z return mod(*inputs) 2025-08-14T21:52:55.2957806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2957889Z x = self.forward_features(x) 2025-08-14T21:52:55.2958141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2958210Z x = self.blocks(x) 2025-08-14T21:52:55.2958462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.2958534Z x = self.conv_pwl(x) 2025-08-14T21:52:55.2958538Z 2025-08-14T21:52:55.2958654Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2958864Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2958935Z return mod(*inputs) 2025-08-14T21:52:55.2959182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2959257Z x = self.forward_features(x) 2025-08-14T21:52:55.2959511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2959577Z x = self.blocks(x) 2025-08-14T21:52:55.2959847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-14T21:52:55.2959923Z x = self.bn3(x) 2025-08-14T21:52:55.2960134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:52:55.2960199Z x = F.batch_norm( 2025-08-14T21:52:55.2960203Z 2025-08-14T21:52:55.2960316Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2960520Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2960595Z return mod(*inputs) 2025-08-14T21:52:55.2960816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2960889Z x = self.forward_features(x) 2025-08-14T21:52:55.2961137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2961205Z x = self.blocks(x) 2025-08-14T21:52:55.2961440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:52:55.2961516Z x = self.conv_pw(x) 2025-08-14T21:52:55.2961520Z 2025-08-14T21:52:55.2961624Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2961834Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2961900Z return mod(*inputs) 2025-08-14T21:52:55.2962119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2962233Z x = self.forward_features(x) 2025-08-14T21:52:55.2962474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2962539Z x = self.blocks(x) 2025-08-14T21:52:55.2962784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:52:55.2962867Z x = self.bn1(x) 2025-08-14T21:52:55.2963082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:52:55.2963148Z x = F.batch_norm( 2025-08-14T21:52:55.2963152Z 2025-08-14T21:52:55.2963256Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2963466Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2963533Z return mod(*inputs) 2025-08-14T21:52:55.2963755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2963853Z x = self.forward_features(x) 2025-08-14T21:52:55.2964095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2964167Z x = self.blocks(x) 2025-08-14T21:52:55.2964402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:52:55.2964467Z x = self.bn1(x) 2025-08-14T21:52:55.2964680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:52:55.2964745Z x = self.act(x) 2025-08-14T21:52:55.2964749Z 2025-08-14T21:52:55.2964832Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2964943Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2965144Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2965222Z return mod(*inputs) 2025-08-14T21:52:55.2965440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2965513Z x = self.forward_features(x) 2025-08-14T21:52:55.2965781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2965851Z x = self.blocks(x) 2025-08-14T21:52:55.2966091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2966165Z x = self.conv_dw(x) 2025-08-14T21:52:55.2966386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2966506Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2966733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2966847Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2966850Z 2025-08-14T21:52:55.2966941Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2967048Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2967260Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2967330Z return mod(*inputs) 2025-08-14T21:52:55.2967552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2967633Z x = self.forward_features(x) 2025-08-14T21:52:55.2967876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2967942Z x = self.blocks(x) 2025-08-14T21:52:55.2968190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2968279Z x = self.conv_dw(x) 2025-08-14T21:52:55.2968506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2968614Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2968840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2968969Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2968974Z 2025-08-14T21:52:55.2969057Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2969163Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2969372Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2969439Z return mod(*inputs) 2025-08-14T21:52:55.2969674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2969748Z x = self.forward_features(x) 2025-08-14T21:52:55.2970008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2970081Z x = self.blocks(x) 2025-08-14T21:52:55.2970319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2970385Z x = self.conv_dw(x) 2025-08-14T21:52:55.2970608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2970712Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2970941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2971045Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2971048Z 2025-08-14T21:52:55.2971131Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2971246Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2971452Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2971529Z return mod(*inputs) 2025-08-14T21:52:55.2971753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2971850Z x = self.forward_features(x) 2025-08-14T21:52:55.2972125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2972192Z x = self.blocks(x) 2025-08-14T21:52:55.2972433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2972509Z x = self.conv_dw(x) 2025-08-14T21:52:55.2972723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2972836Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2973061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2973165Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2973169Z 2025-08-14T21:52:55.2973259Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2973344Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2973425Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2973510Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2973615Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2973827Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2973895Z return mod(*inputs) 2025-08-14T21:52:55.2974116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2974219Z x = self.forward_features(x) 2025-08-14T21:52:55.2974462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2974529Z x = self.blocks(x) 2025-08-14T21:52:55.2974770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2974838Z x = self.conv_dw(x) 2025-08-14T21:52:55.2975074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.2975145Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.2975149Z 2025-08-14T21:52:55.2975230Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2975342Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2975544Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2975614Z return mod(*inputs) 2025-08-14T21:52:55.2975842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2975980Z x = self.forward_features(x) 2025-08-14T21:52:55.2976239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2976304Z x = self.blocks(x) 2025-08-14T21:52:55.2976568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2976642Z x = self.se(x) 2025-08-14T21:52:55.2976878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:52:55.2976957Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:52:55.2976968Z 2025-08-14T21:52:55.2977074Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2977281Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2977360Z return mod(*inputs) 2025-08-14T21:52:55.2977585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2977658Z x = self.forward_features(x) 2025-08-14T21:52:55.2977927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2977994Z x = self.blocks(x) 2025-08-14T21:52:55.2978241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2978306Z x = self.se(x) 2025-08-14T21:52:55.2978539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:52:55.2978624Z x_se = self.conv_reduce(x_se) 2025-08-14T21:52:55.2978628Z 2025-08-14T21:52:55.2978735Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2978937Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2979015Z return mod(*inputs) 2025-08-14T21:52:55.2979236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2979316Z x = self.forward_features(x) 2025-08-14T21:52:55.2979562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2979629Z x = self.blocks(x) 2025-08-14T21:52:55.2979871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2979935Z x = self.se(x) 2025-08-14T21:52:55.2980169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:52:55.2980249Z x_se = self.act1(x_se) 2025-08-14T21:52:55.2980253Z 2025-08-14T21:52:55.2980379Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2980593Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2980662Z return mod(*inputs) 2025-08-14T21:52:55.2980883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2980965Z x = self.forward_features(x) 2025-08-14T21:52:55.2981225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2981297Z x = self.blocks(x) 2025-08-14T21:52:55.2981538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2981603Z x = self.se(x) 2025-08-14T21:52:55.2981846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:52:55.2981923Z x_se = self.conv_expand(x_se) 2025-08-14T21:52:55.2981928Z 2025-08-14T21:52:55.2982052Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2982264Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2982332Z return mod(*inputs) 2025-08-14T21:52:55.2982552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2982632Z x = self.forward_features(x) 2025-08-14T21:52:55.2982872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2982944Z x = self.blocks(x) 2025-08-14T21:52:55.2983176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2983238Z x = self.se(x) 2025-08-14T21:52:55.2983478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:52:55.2983553Z return x * self.gate(x_se) 2025-08-14T21:52:55.2983558Z 2025-08-14T21:52:55.2983670Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2983871Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2983938Z return mod(*inputs) 2025-08-14T21:52:55.2984186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2984261Z x = self.forward_features(x) 2025-08-14T21:52:55.2984505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2984579Z x = self.blocks(x) 2025-08-14T21:52:55.2984815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.2984885Z x = self.se(x) 2025-08-14T21:52:55.2985118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:52:55.2985194Z return x * self.gate(x_se) 2025-08-14T21:52:55.2985198Z 2025-08-14T21:52:55.2985287Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2985390Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2985595Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2985673Z return mod(*inputs) 2025-08-14T21:52:55.2985893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2985973Z x = self.forward_features(x) 2025-08-14T21:52:55.2986218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2986284Z x = self.blocks(x) 2025-08-14T21:52:55.2986526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.2986618Z x = self.conv_pwl(x) 2025-08-14T21:52:55.2986834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2986951Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2987176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2987307Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2987311Z 2025-08-14T21:52:55.2987396Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2987500Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2987711Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2987778Z return mod(*inputs) 2025-08-14T21:52:55.2987993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2988075Z x = self.forward_features(x) 2025-08-14T21:52:55.2988335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2988411Z x = self.blocks(x) 2025-08-14T21:52:55.2988653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.2988726Z x = self.conv_pwl(x) 2025-08-14T21:52:55.2988951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2989063Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2989298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2989406Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2989410Z 2025-08-14T21:52:55.2989495Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2989587Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2989695Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2989900Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2989977Z return mod(*inputs) 2025-08-14T21:52:55.2990218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2990302Z x = self.forward_features(x) 2025-08-14T21:52:55.2990551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2990616Z x = self.blocks(x) 2025-08-14T21:52:55.2990858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.2990927Z x = self.conv_pwl(x) 2025-08-14T21:52:55.2991143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.2991224Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.2991228Z 2025-08-14T21:52:55.2991332Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2991545Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2991613Z return mod(*inputs) 2025-08-14T21:52:55.2991833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2991915Z x = self.forward_features(x) 2025-08-14T21:52:55.2992159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2992227Z x = self.blocks(x) 2025-08-14T21:52:55.2992471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:52:55.2992550Z x = self.drop_path(x) + shortcut 2025-08-14T21:52:55.2992572Z 2025-08-14T21:52:55.2992688Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2992978Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2993055Z return mod(*inputs) 2025-08-14T21:52:55.2993293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2993392Z x = self.forward_features(x) 2025-08-14T21:52:55.2993642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2993721Z x = self.blocks(x) 2025-08-14T21:52:55.2993964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:52:55.2994044Z x = self.conv_pw(x) 2025-08-14T21:52:55.2994048Z 2025-08-14T21:52:55.2994157Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2994368Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2994479Z return mod(*inputs) 2025-08-14T21:52:55.2994700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2994783Z x = self.forward_features(x) 2025-08-14T21:52:55.2995030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2995098Z x = self.blocks(x) 2025-08-14T21:52:55.2995342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:52:55.2995410Z x = self.bn1(x) 2025-08-14T21:52:55.2995619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:52:55.2995693Z x = F.batch_norm( 2025-08-14T21:52:55.2995696Z 2025-08-14T21:52:55.2995803Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2996016Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2996083Z return mod(*inputs) 2025-08-14T21:52:55.2996304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2996387Z x = self.forward_features(x) 2025-08-14T21:52:55.2996875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2996949Z x = self.blocks(x) 2025-08-14T21:52:55.2997196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:52:55.2997262Z x = self.bn1(x) 2025-08-14T21:52:55.2997480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:52:55.2997545Z x = self.act(x) 2025-08-14T21:52:55.2997551Z 2025-08-14T21:52:55.2997636Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2997754Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.2997980Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.2998049Z return mod(*inputs) 2025-08-14T21:52:55.2998286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.2998365Z x = self.forward_features(x) 2025-08-14T21:52:55.2998625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.2998694Z x = self.blocks(x) 2025-08-14T21:52:55.2998940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.2999016Z x = self.conv_dw(x) 2025-08-14T21:52:55.2999230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.2999370Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2999599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.2999706Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.2999710Z 2025-08-14T21:52:55.2999802Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.2999943Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.3000150Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.3000226Z return mod(*inputs) 2025-08-14T21:52:55.3000446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.3000527Z x = self.forward_features(x) 2025-08-14T21:52:55.3000770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.3000862Z x = self.blocks(x) 2025-08-14T21:52:55.3001109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.3001176Z x = self.conv_dw(x) 2025-08-14T21:52:55.3001399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.3001517Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.3001746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.3001860Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.3001864Z 2025-08-14T21:52:55.3001947Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.3002051Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.3002264Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.3002337Z return mod(*inputs) 2025-08-14T21:52:55.3002561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.3002642Z x = self.forward_features(x) 2025-08-14T21:52:55.3002913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.3002988Z x = self.blocks(x) 2025-08-14T21:52:55.3003223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.3003287Z x = self.conv_dw(x) 2025-08-14T21:52:55.3003508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.3003613Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.3003839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.3003955Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.3003958Z 2025-08-14T21:52:55.3004037Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.3004149Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.3004350Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.3004419Z return mod(*inputs) 2025-08-14T21:52:55.3004644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.3004714Z x = self.forward_features(x) 2025-08-14T21:52:55.3004960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.3005026Z x = self.blocks(x) 2025-08-14T21:52:55.3005267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.3005358Z x = self.conv_dw(x) 2025-08-14T21:52:55.3005588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.3005696Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.3005934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.3006057Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.3006061Z 2025-08-14T21:52:55.3006153Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.3006235Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.3006317Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.3006406Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.3006518Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.3006725Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.3006835Z return mod(*inputs) 2025-08-14T21:52:55.3007060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.3007143Z x = self.forward_features(x) 2025-08-14T21:52:55.3007399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.3007468Z x = self.blocks(x) 2025-08-14T21:52:55.3007709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.3007775Z x = self.conv_dw(x) 2025-08-14T21:52:55.3007988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.3008069Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.3008073Z 2025-08-14T21:52:55.3008152Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.3008265Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.3008470Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.3008540Z return mod(*inputs) 2025-08-14T21:52:55.3008772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.3008869Z x = self.forward_features(x) 2025-08-14T21:52:55.3009124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.3009212Z x = self.blocks(x) 2025-08-14T21:52:55.3009446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.3009518Z x = self.se(x) 2025-08-14T21:52:55.3009752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:52:55.3009834Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:52:55.3009840Z 2025-08-14T21:52:55.3009953Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.3010156Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.3010224Z return mod(*inputs) 2025-08-14T21:52:55.3010459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.3010536Z x = self.forward_features(x) 2025-08-14T21:52:55.3010790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.3010859Z x = self.blocks(x) 2025-08-14T21:52:55.3011100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.3011172Z x = self.se(x) 2025-08-14T21:52:55.3011412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:52:55.3011515Z x_se = self.conv_reduce(x_se) 2025-08-14T21:52:55.3011526Z 2025-08-14T21:52:55.3011635Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.3011847Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.3011922Z return mod(*inputs) 2025-08-14T21:52:55.3012167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.3012243Z x = self.forward_features(x) 2025-08-14T21:52:55.3012505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.3012571Z x = self.blocks(x) 2025-08-14T21:52:55.3012813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.3012877Z x = self.se(x) 2025-08-14T21:52:55.3013110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:52:55.3013211Z x_se = self.act1(x_se) 2025-08-14T21:52:55.3013215Z 2025-08-14T21:52:55.3013320Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.3013523Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.3013599Z return mod(*inputs) 2025-08-14T21:52:55.3013822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.3013902Z x = self.forward_features(x) 2025-08-14T21:52:55.3014146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.3014211Z x = self.blocks(x) 2025-08-14T21:52:55.3014450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.3014515Z x = self.se(x) 2025-08-14T21:52:55.3014750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:52:55.3014835Z x_se = self.conv_expand(x_se) 2025-08-14T21:52:55.3014839Z 2025-08-14T21:52:55.3014945Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.3015172Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.3015244Z return mod(*inputs) 2025-08-14T21:52:55.3015462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.3015543Z x = self.forward_features(x) 2025-08-14T21:52:55.3015786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.3015855Z x = self.blocks(x) 2025-08-14T21:52:55.3016096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.3016162Z x = self.se(x) 2025-08-14T21:52:55.3016406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:52:55.3016479Z return x * self.gate(x_se) 2025-08-14T21:52:55.3016483Z 2025-08-14T21:52:55.3016589Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.3016803Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.3016870Z return mod(*inputs) 2025-08-14T21:52:55.3017091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.3017169Z x = self.forward_features(x) 2025-08-14T21:52:55.3017442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.3017514Z x = self.blocks(x) 2025-08-14T21:52:55.3017769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.3017834Z x = self.se(x) 2025-08-14T21:52:55.3018073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:52:55.3018145Z return x * self.gate(x_se) 2025-08-14T21:52:55.3018149Z 2025-08-14T21:52:55.3018240Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.3018367Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.3018573Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.3018647Z return mod(*inputs) 2025-08-14T21:52:55.3018867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.3018939Z x = self.forward_features(x) 2025-08-14T21:52:55.3019187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.3019276Z x = self.blocks(x) 2025-08-14T21:52:55.3019524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.3019594Z x = self.conv_pwl(x) 2025-08-14T21:52:55.3019813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.3019932Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.3020161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.3020269Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.3020273Z 2025-08-14T21:52:55.3020361Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.3020467Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.3020680Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.3020751Z return mod(*inputs) 2025-08-14T21:52:55.3020969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.3021051Z x = self.forward_features(x) 2025-08-14T21:52:55.3021321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.3021391Z x = self.blocks(x) 2025-08-14T21:52:55.3021632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.3021702Z x = self.conv_pwl(x) 2025-08-14T21:52:55.3021925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.3022032Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.3022258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.3022374Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.3022378Z 2025-08-14T21:52:55.3022460Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.3022546Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.3022652Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.3022856Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.3022930Z return mod(*inputs) 2025-08-14T21:52:55.3023149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.3023221Z x = self.forward_features(x) 2025-08-14T21:52:55.3023472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.3023539Z x = self.blocks(x) 2025-08-14T21:52:55.3023803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.3023875Z x = self.conv_pwl(x) 2025-08-14T21:52:55.3024089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.3024168Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.3024172Z 2025-08-14T21:52:55.3024279Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.3024499Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.3024578Z return mod(*inputs) 2025-08-14T21:52:55.3024796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.3024881Z x = self.forward_features(x) 2025-08-14T21:52:55.3025123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.3025192Z x = self.blocks(x) 2025-08-14T21:52:55.3025453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:52:55.3025531Z x = self.drop_path(x) + shortcut 2025-08-14T21:52:55.3025535Z 2025-08-14T21:52:55.3025641Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.3025852Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.3025920Z return mod(*inputs) 2025-08-14T21:52:55.3026147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.3026219Z x = self.forward_features(x) 2025-08-14T21:52:55.3026463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.3026539Z x = self.blocks(x) 2025-08-14T21:52:55.3026774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:52:55.3026846Z x = self.conv_pw(x) 2025-08-14T21:52:55.3026856Z 2025-08-14T21:52:55.3026962Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.3027167Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.3027240Z return mod(*inputs) 2025-08-14T21:52:55.3027478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.3027554Z x = self.forward_features(x) 2025-08-14T21:52:55.3027804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.3027870Z x = self.blocks(x) 2025-08-14T21:52:55.3028113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:52:55.3028180Z x = self.bn1(x) 2025-08-14T21:52:55.3028394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:52:55.3028471Z x = F.batch_norm( 2025-08-14T21:52:55.3028474Z 2025-08-14T21:52:55.3028580Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.3028782Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.3028860Z return mod(*inputs) 2025-08-14T21:52:55.3029082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.3029161Z x = self.forward_features(x) 2025-08-14T21:52:55.3029402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.3029467Z x = self.blocks(x) 2025-08-14T21:52:55.3029707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:52:55.3029792Z x = self.bn1(x) 2025-08-14T21:52:55.3030004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:52:55.3030075Z x = self.act(x) 2025-08-14T21:52:55.3030079Z 2025-08-14T21:52:55.3030162Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.3030274Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.3030517Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.3030588Z return mod(*inputs) 2025-08-14T21:52:55.3030813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.3030887Z x = self.forward_features(x) 2025-08-14T21:52:55.3031127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.3031201Z x = self.blocks(x) 2025-08-14T21:52:55.3031437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.3031529Z x = self.conv_dw(x) 2025-08-14T21:52:55.3031750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.3031862Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.3032107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.3032219Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.3032223Z 2025-08-14T21:52:55.3032307Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.3032421Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.3032632Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.3032708Z return mod(*inputs) 2025-08-14T21:52:55.3033016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.3033100Z x = self.forward_features(x) 2025-08-14T21:52:55.3033359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.3033427Z x = self.blocks(x) 2025-08-14T21:52:55.3033691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.3033770Z x = self.conv_dw(x) 2025-08-14T21:52:55.3033999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.3034114Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.3034336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.3034442Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.3034447Z 2025-08-14T21:52:55.3034541Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.3034649Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.3034868Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.3034936Z return mod(*inputs) 2025-08-14T21:52:55.3035158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.3035241Z x = self.forward_features(x) 2025-08-14T21:52:55.3035487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.3035554Z x = self.blocks(x) 2025-08-14T21:52:55.3035808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.3035873Z x = self.conv_dw(x) 2025-08-14T21:52:55.3036081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.3036203Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.3036420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.3036532Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.3036537Z 2025-08-14T21:52:55.3036639Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.3036748Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.3036962Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.3037030Z return mod(*inputs) 2025-08-14T21:52:55.3037260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.3037333Z x = self.forward_features(x) 2025-08-14T21:52:55.3037578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.3037673Z x = self.blocks(x) 2025-08-14T21:52:55.3037907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.3037974Z x = self.conv_dw(x) 2025-08-14T21:52:55.3038199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.3038307Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.3038536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.3038640Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.3038644Z 2025-08-14T21:52:55.3038725Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.3038812Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.3038892Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.3038970Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.3039085Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.3039292Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.3039367Z return mod(*inputs) 2025-08-14T21:52:55.3039606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.3039684Z x = self.forward_features(x) 2025-08-14T21:52:55.3039942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.3040010Z x = self.blocks(x) 2025-08-14T21:52:55.3040244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:52:55.3040314Z x = self.conv_dw(x) 2025-08-14T21:52:55.3040523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.3040600Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.3040603Z 2025-08-14T21:52:55.3040679Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.3040780Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.3040979Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.3041044Z return mod(*inputs) 2025-08-14T21:52:55.3041258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.3041328Z x = self.forward_features(x) 2025-08-14T21:52:55.3041570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.3041645Z x = self.blocks(x) 2025-08-14T21:52:55.3041878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.3041963Z x = self.se(x) 2025-08-14T21:52:55.3042209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:52:55.3042289Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:52:55.3042292Z 2025-08-14T21:52:55.3042406Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.3042629Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.3042700Z return mod(*inputs) 2025-08-14T21:52:55.3042928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.3043001Z x = self.forward_features(x) 2025-08-14T21:52:55.3043247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.3043323Z x = self.blocks(x) 2025-08-14T21:52:55.3043555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.3043646Z x = self.se(x) 2025-08-14T21:52:55.3043880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward 2025-08-14T21:52:55.3043956Z x_se = self.conv_reduce(x_se) 2025-08-14T21:52:55.3043960Z 2025-08-14T21:52:55.3044075Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.3044281Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.3044347Z return mod(*inputs) 2025-08-14T21:52:55.3044573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.3044645Z x = self.forward_features(x) 2025-08-14T21:52:55.3044892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.3044960Z x = self.blocks(x) 2025-08-14T21:52:55.3045193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.3045267Z x = self.se(x) 2025-08-14T21:52:55.3045502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:52:55.3045573Z x_se = self.act1(x_se) 2025-08-14T21:52:55.3045602Z 2025-08-14T21:52:55.3045710Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.3045914Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.3045988Z return mod(*inputs) 2025-08-14T21:52:55.3046210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.3046282Z x = self.forward_features(x) 2025-08-14T21:52:55.3046530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.3046599Z x = self.blocks(x) 2025-08-14T21:52:55.3046842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.3046906Z x = self.se(x) 2025-08-14T21:52:55.3047138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward 2025-08-14T21:52:55.3047222Z x_se = self.conv_expand(x_se) 2025-08-14T21:52:55.3047228Z 2025-08-14T21:52:55.3047333Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.3047541Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.3047618Z return mod(*inputs) 2025-08-14T21:52:55.3047840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.3047922Z x = self.forward_features(x) 2025-08-14T21:52:55.3048190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.3048258Z x = self.blocks(x) 2025-08-14T21:52:55.3048499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.3048564Z x = self.se(x) 2025-08-14T21:52:55.3048799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:52:55.3048897Z return x * self.gate(x_se) 2025-08-14T21:52:55.3048901Z 2025-08-14T21:52:55.3049009Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.3049219Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.3049288Z return mod(*inputs) 2025-08-14T21:52:55.3049507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.3049592Z x = self.forward_features(x) 2025-08-14T21:52:55.3049832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.3049919Z x = self.blocks(x) 2025-08-14T21:52:55.3050165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:52:55.3050231Z x = self.se(x) 2025-08-14T21:52:55.3050475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:52:55.3050549Z return x * self.gate(x_se) 2025-08-14T21:52:55.3050552Z 2025-08-14T21:52:55.3050635Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.3050750Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.3050958Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.3051025Z return mod(*inputs) 2025-08-14T21:52:55.3051255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.3051330Z x = self.forward_features(x) 2025-08-14T21:52:55.3051582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.3051648Z x = self.blocks(x) 2025-08-14T21:52:55.3051905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.3051986Z x = self.conv_pwl(x) 2025-08-14T21:52:55.3052207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.3052321Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.3052547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.3052653Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.3052658Z 2025-08-14T21:52:55.3052747Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.3052854Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.3053059Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.3053134Z return mod(*inputs) 2025-08-14T21:52:55.3053358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.3053439Z x = self.forward_features(x) 2025-08-14T21:52:55.3053686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.3053753Z x = self.blocks(x) 2025-08-14T21:52:55.3053995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.3054066Z x = self.conv_pwl(x) 2025-08-14T21:52:55.3054281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:52:55.3054428Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.3054649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:52:55.3054761Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:52:55.3054766Z 2025-08-14T21:52:55.3054863Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.3054947Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.3055059Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.3055261Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.3055330Z return mod(*inputs) 2025-08-14T21:52:55.3055557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.3055630Z x = self.forward_features(x) 2025-08-14T21:52:55.3055878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.3055965Z x = self.blocks(x) 2025-08-14T21:52:55.3056204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:52:55.3056278Z x = self.conv_pwl(x) 2025-08-14T21:52:55.3056493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:52:55.3056564Z x = torch.cat(x_out, 1) 2025-08-14T21:52:55.3056575Z 2025-08-14T21:52:55.3056681Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.3056884Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.3056956Z return mod(*inputs) 2025-08-14T21:52:55.3057171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.3057245Z x = self.forward_features(x) 2025-08-14T21:52:55.3057500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:52:55.3057567Z x = self.blocks(x) 2025-08-14T21:52:55.3057809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:52:55.3057906Z x = self.drop_path(x) + shortcut 2025-08-14T21:52:55.3057912Z 2025-08-14T21:52:55.3058019Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.3058229Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.3058298Z return mod(*inputs) 2025-08-14T21:52:55.3058520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:52:55.3058604Z x = self.forward_features(x) 2025-08-14T21:52:55.3058853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 257, in forward_features 2025-08-14T21:52:55.3058934Z x = self.conv_head(x) 2025-08-14T21:52:55.3058938Z 2025-08-14T21:52:55.3059021Z cudagraph partition due to non gpu ops 2025-08-14T21:52:55.3059137Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.3059344Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.3059412Z return mod(*inputs) 2025-08-14T21:52:55.3059629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-08-14T21:52:55.3059706Z x = self.forward_head(x) 2025-08-14T21:52:55.3059938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 262, in forward_head 2025-08-14T21:52:55.3060016Z x = self.global_pool(x) 2025-08-14T21:52:55.3060256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward 2025-08-14T21:52:55.3060346Z x = self.pool(x) 2025-08-14T21:52:55.3060350Z 2025-08-14T21:52:55.3060459Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:52:55.3060661Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:52:55.3060729Z return mod(*inputs) 2025-08-14T21:52:55.3060969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-08-14T21:52:55.3061044Z x = self.forward_head(x) 2025-08-14T21:52:55.3061280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 265, in forward_head 2025-08-14T21:52:55.3061384Z return x if pre_logits else self.classifier(x) 2025-08-14T21:52:55.3061388Z 2025-08-14T21:53:12.0709421Z Compilation time (from dynamo_timed): 31.20565834 2025-08-14T21:53:12.0709741Z pass 2025-08-14T21:53:12.0720784Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:53:12.0725571Z TIMING: _recursive_pre_grad_passes:0.01206 _recursive_joint_graph_passes:0.50734 _recursive_post_grad_passes:0.14773 async_compile.wait:0.86175 code_gen:16.11798 inductor_compile:18.929 backend_compile:24.7168 gc:0.00105 entire_frame_compile:31.20566 total_wall_time:31.20566 2025-08-14T21:53:12.0727253Z STATS: call_* op count: 551 | FakeTensorMode.__torch_dispatch__:18051 | FakeTensor.__torch_dispatch__:9709 | ProxyTorchDispatchMode.__torch_dispatch__:7408 2025-08-14T21:53:12.0727823Z Dynamo produced 1 graphs covering 551 ops with 0 graph breaks (0 unique) 2025-08-14T21:53:17.4415803Z 2025-08-14T21:53:17.5728198Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:53:17.5728435Z 2025-08-14T21:53:17.6394283Z model.safetensors: 0% 0.00/25.0M [00:00 B,H,W,C 2025-08-14T21:56:12.8016529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-14T21:56:12.8016870Z x = self.conv(x) 2025-08-14T21:56:12.8016984Z 2025-08-14T21:56:12.8017092Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8017480Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8017826Z return mod(*inputs) 2025-08-14T21:56:12.8018136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8018468Z x = self.forward_features(x) 2025-08-14T21:56:12.8018833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-14T21:56:12.8019243Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-14T21:56:12.8019616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-14T21:56:12.8019937Z x = self.conv(x) 2025-08-14T21:56:12.8020039Z 2025-08-14T21:56:12.8020146Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8020519Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8020852Z return mod(*inputs) 2025-08-14T21:56:12.8021153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8021478Z x = self.forward_features(x) 2025-08-14T21:56:12.8021829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-14T21:56:12.8022231Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-14T21:56:12.8022672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-14T21:56:12.8022994Z x = self.conv(x) 2025-08-14T21:56:12.8023093Z 2025-08-14T21:56:12.8023207Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8023582Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8023921Z return mod(*inputs) 2025-08-14T21:56:12.8024238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8024595Z x = self.forward_features(x) 2025-08-14T21:56:12.8024947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-14T21:56:12.8025367Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-14T21:56:12.8025757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-14T21:56:12.8026088Z x = self.conv(x) 2025-08-14T21:56:12.8026191Z 2025-08-14T21:56:12.8026301Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8026687Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8027043Z return mod(*inputs) 2025-08-14T21:56:12.8027339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8027668Z x = self.forward_features(x) 2025-08-14T21:56:12.8028030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-14T21:56:12.8028447Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-14T21:56:12.8028865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-14T21:56:12.8029204Z x = self.conv(x) 2025-08-14T21:56:12.8029306Z 2025-08-14T21:56:12.8029425Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8029803Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8030153Z return mod(*inputs) 2025-08-14T21:56:12.8030461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8030802Z x = self.forward_features(x) 2025-08-14T21:56:12.8031154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-14T21:56:12.8031568Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-14T21:56:12.8031952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-14T21:56:12.8032276Z x = self.conv(x) 2025-08-14T21:56:12.8032387Z 2025-08-14T21:56:12.8032496Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8033015Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8033367Z return mod(*inputs) 2025-08-14T21:56:12.8033670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8034011Z x = self.forward_features(x) 2025-08-14T21:56:12.8034372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-14T21:56:12.8034784Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-14T21:56:12.8035159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 368, in forward 2025-08-14T21:56:12.8035502Z x = self.proj(x) # B, C, H, W 2025-08-14T21:56:12.8035637Z 2025-08-14T21:56:12.8035756Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8036129Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8036507Z return mod(*inputs) 2025-08-14T21:56:12.8036812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8037152Z x = self.forward_features(x) 2025-08-14T21:56:12.8037503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8037875Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8038220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8038565Z x = block(x) 2025-08-14T21:56:12.8038871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:56:12.8039248Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8039607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 81, in forward 2025-08-14T21:56:12.8039989Z attn = self.pool(x.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) 2025-08-14T21:56:12.8040180Z 2025-08-14T21:56:12.8040266Z cudagraph partition due to non gpu ops 2025-08-14T21:56:12.8040525Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8040900Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8041279Z return mod(*inputs) 2025-08-14T21:56:12.8041594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8041932Z x = self.forward_features(x) 2025-08-14T21:56:12.8042284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8042657Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8043025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8043369Z x = block(x) 2025-08-14T21:56:12.8043668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:56:12.8044033Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8044391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 82, in forward 2025-08-14T21:56:12.8044745Z attn = self.attn(attn).reshape( 2025-08-14T21:56:12.8044892Z 2025-08-14T21:56:12.8045003Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8045383Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8045733Z return mod(*inputs) 2025-08-14T21:56:12.8046054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8046386Z x = self.forward_features(x) 2025-08-14T21:56:12.8046740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8047110Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8047455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8047793Z x = block(x) 2025-08-14T21:56:12.8048078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:56:12.8048432Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8048783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 74, in forward 2025-08-14T21:56:12.8049133Z v = self.v(x).permute(0, 3, 1, 2) # B, C, H, W 2025-08-14T21:56:12.8049284Z 2025-08-14T21:56:12.8049390Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8049769Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8050106Z return mod(*inputs) 2025-08-14T21:56:12.8050400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8050764Z x = self.forward_features(x) 2025-08-14T21:56:12.8051115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8051477Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8051809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8052151Z x = block(x) 2025-08-14T21:56:12.8052440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:56:12.8052782Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8053132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:56:12.8053551Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:56:12.8053769Z 2025-08-14T21:56:12.8053884Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8054253Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8054592Z return mod(*inputs) 2025-08-14T21:56:12.8054902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8055259Z x = self.forward_features(x) 2025-08-14T21:56:12.8055618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8055994Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8056345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8056678Z x = block(x) 2025-08-14T21:56:12.8057006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:56:12.8057363Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8057706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:56:12.8058120Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:56:12.8058338Z 2025-08-14T21:56:12.8058448Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8058824Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8059156Z return mod(*inputs) 2025-08-14T21:56:12.8059462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8059793Z x = self.forward_features(x) 2025-08-14T21:56:12.8060140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8060493Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8060840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8061183Z x = block(x) 2025-08-14T21:56:12.8061449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:56:12.8061797Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8062145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:56:12.8062553Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:56:12.8062764Z 2025-08-14T21:56:12.8062848Z cudagraph partition due to non gpu ops 2025-08-14T21:56:12.8063073Z cudagraph partition due to non gpu ops 2025-08-14T21:56:12.8063323Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8063687Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8064018Z return mod(*inputs) 2025-08-14T21:56:12.8064320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8064677Z x = self.forward_features(x) 2025-08-14T21:56:12.8065017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8065377Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8065719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8066052Z x = block(x) 2025-08-14T21:56:12.8066341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:56:12.8066695Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8067042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T21:56:12.8067371Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T21:56:12.8067518Z 2025-08-14T21:56:12.8067624Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8067996Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8068325Z return mod(*inputs) 2025-08-14T21:56:12.8068628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8068978Z x = self.forward_features(x) 2025-08-14T21:56:12.8069324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8069672Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8070012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8070354Z x = block(x) 2025-08-14T21:56:12.8070657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:56:12.8071026Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8071387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T21:56:12.8071742Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T21:56:12.8071886Z 2025-08-14T21:56:12.8071995Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8072383Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8072855Z return mod(*inputs) 2025-08-14T21:56:12.8073162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8073523Z x = self.forward_features(x) 2025-08-14T21:56:12.8073880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8074308Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8074626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8074977Z x = block(x) 2025-08-14T21:56:12.8075256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T21:56:12.8075585Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8075920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:56:12.8076243Z x = self.fc1(x) 2025-08-14T21:56:12.8076344Z 2025-08-14T21:56:12.8076458Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8076840Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8077221Z return mod(*inputs) 2025-08-14T21:56:12.8077524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8077848Z x = self.forward_features(x) 2025-08-14T21:56:12.8078199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8078575Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8078913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8079248Z x = block(x) 2025-08-14T21:56:12.8079538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T21:56:12.8079889Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8080228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:56:12.8080551Z x = self.act(x) 2025-08-14T21:56:12.8080649Z 2025-08-14T21:56:12.8080762Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8081137Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8081469Z return mod(*inputs) 2025-08-14T21:56:12.8081773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8082103Z x = self.forward_features(x) 2025-08-14T21:56:12.8082439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8082869Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8083224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8083566Z x = block(x) 2025-08-14T21:56:12.8083849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T21:56:12.8084205Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8084572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:56:12.8084886Z x = self.fc2(x) 2025-08-14T21:56:12.8084990Z 2025-08-14T21:56:12.8085097Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8085474Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8085810Z return mod(*inputs) 2025-08-14T21:56:12.8086104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8086431Z x = self.forward_features(x) 2025-08-14T21:56:12.8086779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8087133Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8087471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8087814Z x = block(x) 2025-08-14T21:56:12.8088099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:56:12.8088450Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8088815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 81, in forward 2025-08-14T21:56:12.8089195Z attn = self.pool(x.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) 2025-08-14T21:56:12.8089373Z 2025-08-14T21:56:12.8089457Z cudagraph partition due to non gpu ops 2025-08-14T21:56:12.8089706Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8090082Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8090421Z return mod(*inputs) 2025-08-14T21:56:12.8090718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8091045Z x = self.forward_features(x) 2025-08-14T21:56:12.8091395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8091744Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8092081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8092444Z x = block(x) 2025-08-14T21:56:12.8092726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:56:12.8093075Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8093422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 82, in forward 2025-08-14T21:56:12.8093753Z attn = self.attn(attn).reshape( 2025-08-14T21:56:12.8093886Z 2025-08-14T21:56:12.8093993Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8094366Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8094701Z return mod(*inputs) 2025-08-14T21:56:12.8095005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8095329Z x = self.forward_features(x) 2025-08-14T21:56:12.8095679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8096037Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8096367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8096877Z x = block(x) 2025-08-14T21:56:12.8097225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:56:12.8097583Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8097928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 74, in forward 2025-08-14T21:56:12.8098275Z v = self.v(x).permute(0, 3, 1, 2) # B, C, H, W 2025-08-14T21:56:12.8098424Z 2025-08-14T21:56:12.8098564Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8098936Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8099283Z return mod(*inputs) 2025-08-14T21:56:12.8099593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8099928Z x = self.forward_features(x) 2025-08-14T21:56:12.8100271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8100638Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8100976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8101311Z x = block(x) 2025-08-14T21:56:12.8101604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:56:12.8101958Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8102311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:56:12.8102777Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:56:12.8103000Z 2025-08-14T21:56:12.8103106Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8103483Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8103814Z return mod(*inputs) 2025-08-14T21:56:12.8104122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8104453Z x = self.forward_features(x) 2025-08-14T21:56:12.8104805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8105163Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8105503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8105851Z x = block(x) 2025-08-14T21:56:12.8106134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:56:12.8106527Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8106875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:56:12.8107287Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:56:12.8107502Z 2025-08-14T21:56:12.8107610Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8107988Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8108332Z return mod(*inputs) 2025-08-14T21:56:12.8108636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8108989Z x = self.forward_features(x) 2025-08-14T21:56:12.8109351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8109735Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8110080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8110435Z x = block(x) 2025-08-14T21:56:12.8110729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:56:12.8111116Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8111473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:56:12.8111891Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:56:12.8112103Z 2025-08-14T21:56:12.8112196Z cudagraph partition due to non gpu ops 2025-08-14T21:56:12.8112442Z cudagraph partition due to non gpu ops 2025-08-14T21:56:12.8112779Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8113172Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8113522Z return mod(*inputs) 2025-08-14T21:56:12.8113828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8114169Z x = self.forward_features(x) 2025-08-14T21:56:12.8114528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8114901Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8115248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8115598Z x = block(x) 2025-08-14T21:56:12.8115889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:56:12.8116251Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8116606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T21:56:12.8116974Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T21:56:12.8117117Z 2025-08-14T21:56:12.8117225Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8117605Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8117948Z return mod(*inputs) 2025-08-14T21:56:12.8118256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8118589Z x = self.forward_features(x) 2025-08-14T21:56:12.8118948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8119325Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8119665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8120016Z x = block(x) 2025-08-14T21:56:12.8120315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:56:12.8120708Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8121060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T21:56:12.8121412Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T21:56:12.8121557Z 2025-08-14T21:56:12.8121674Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8122050Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8122402Z return mod(*inputs) 2025-08-14T21:56:12.8122714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8123042Z x = self.forward_features(x) 2025-08-14T21:56:12.8123372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8123734Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8124077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8124415Z x = block(x) 2025-08-14T21:56:12.8124711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T21:56:12.8125069Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8125443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:56:12.8125740Z x = self.fc1(x) 2025-08-14T21:56:12.8125839Z 2025-08-14T21:56:12.8125940Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8126291Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8126636Z return mod(*inputs) 2025-08-14T21:56:12.8126942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8127274Z x = self.forward_features(x) 2025-08-14T21:56:12.8127620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8127971Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8128310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8128653Z x = block(x) 2025-08-14T21:56:12.8128934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T21:56:12.8129288Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8129633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:56:12.8129952Z x = self.act(x) 2025-08-14T21:56:12.8130049Z 2025-08-14T21:56:12.8130157Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8130529Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8130889Z return mod(*inputs) 2025-08-14T21:56:12.8131183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8131513Z x = self.forward_features(x) 2025-08-14T21:56:12.8131861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8132219Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8132552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8132895Z x = block(x) 2025-08-14T21:56:12.8133181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T21:56:12.8133528Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8133870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:56:12.8134189Z x = self.fc2(x) 2025-08-14T21:56:12.8134306Z 2025-08-14T21:56:12.8134418Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8134783Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8135117Z return mod(*inputs) 2025-08-14T21:56:12.8135425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8135762Z x = self.forward_features(x) 2025-08-14T21:56:12.8136113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8136472Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8136807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8137152Z x = block(x) 2025-08-14T21:56:12.8137442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:56:12.8137797Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8138139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 81, in forward 2025-08-14T21:56:12.8138515Z attn = self.pool(x.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) 2025-08-14T21:56:12.8138689Z 2025-08-14T21:56:12.8138779Z cudagraph partition due to non gpu ops 2025-08-14T21:56:12.8139049Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8139414Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8139750Z return mod(*inputs) 2025-08-14T21:56:12.8140067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8140413Z x = self.forward_features(x) 2025-08-14T21:56:12.8140764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8141131Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8141467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8141806Z x = block(x) 2025-08-14T21:56:12.8142093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:56:12.8142447Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8142788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 82, in forward 2025-08-14T21:56:12.8143168Z attn = self.attn(attn).reshape( 2025-08-14T21:56:12.8143301Z 2025-08-14T21:56:12.8143415Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8143786Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8144117Z return mod(*inputs) 2025-08-14T21:56:12.8144418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8144773Z x = self.forward_features(x) 2025-08-14T21:56:12.8145115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8145474Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8145812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8146152Z x = block(x) 2025-08-14T21:56:12.8146453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:56:12.8146815Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8147171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 74, in forward 2025-08-14T21:56:12.8147532Z v = self.v(x).permute(0, 3, 1, 2) # B, C, H, W 2025-08-14T21:56:12.8147691Z 2025-08-14T21:56:12.8147803Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8148197Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8148559Z return mod(*inputs) 2025-08-14T21:56:12.8148850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8149181Z x = self.forward_features(x) 2025-08-14T21:56:12.8149535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8149889Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8150229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8150581Z x = block(x) 2025-08-14T21:56:12.8150872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:56:12.8151224Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8151582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:56:12.8152012Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:56:12.8152234Z 2025-08-14T21:56:12.8152343Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8152876Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8153243Z return mod(*inputs) 2025-08-14T21:56:12.8153559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8153900Z x = self.forward_features(x) 2025-08-14T21:56:12.8154253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8154639Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8154977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8155322Z x = block(x) 2025-08-14T21:56:12.8155612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:56:12.8155961Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8156297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:56:12.8156706Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:56:12.8156918Z 2025-08-14T21:56:12.8157034Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8157400Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8157733Z return mod(*inputs) 2025-08-14T21:56:12.8158034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8158363Z x = self.forward_features(x) 2025-08-14T21:56:12.8158729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8159089Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8159430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8159771Z x = block(x) 2025-08-14T21:56:12.8160050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:56:12.8160393Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8160739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:56:12.8161140Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:56:12.8161360Z 2025-08-14T21:56:12.8161445Z cudagraph partition due to non gpu ops 2025-08-14T21:56:12.8161671Z cudagraph partition due to non gpu ops 2025-08-14T21:56:12.8161919Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8162315Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8162649Z return mod(*inputs) 2025-08-14T21:56:12.8162950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8163275Z x = self.forward_features(x) 2025-08-14T21:56:12.8163624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8163984Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8164310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8164649Z x = block(x) 2025-08-14T21:56:12.8164937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:56:12.8165286Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8165623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T21:56:12.8165959Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T21:56:12.8166097Z 2025-08-14T21:56:12.8166211Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8166603Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8166941Z return mod(*inputs) 2025-08-14T21:56:12.8167244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8167583Z x = self.forward_features(x) 2025-08-14T21:56:12.8167931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8168314Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8168655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8168993Z x = block(x) 2025-08-14T21:56:12.8169285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:56:12.8169635Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8169981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T21:56:12.8170310Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T21:56:12.8170453Z 2025-08-14T21:56:12.8170558Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8170931Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8171265Z return mod(*inputs) 2025-08-14T21:56:12.8171558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8171890Z x = self.forward_features(x) 2025-08-14T21:56:12.8172236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8172606Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8172941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8173282Z x = block(x) 2025-08-14T21:56:12.8173564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T21:56:12.8173918Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8174266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:56:12.8174586Z x = self.fc1(x) 2025-08-14T21:56:12.8174685Z 2025-08-14T21:56:12.8174789Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8175164Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8175500Z return mod(*inputs) 2025-08-14T21:56:12.8175794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8176148Z x = self.forward_features(x) 2025-08-14T21:56:12.8176498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8176858Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8177193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8177537Z x = block(x) 2025-08-14T21:56:12.8177828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T21:56:12.8178175Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8178524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:56:12.8178845Z x = self.act(x) 2025-08-14T21:56:12.8178940Z 2025-08-14T21:56:12.8179054Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8179422Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8179757Z return mod(*inputs) 2025-08-14T21:56:12.8180055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8180378Z x = self.forward_features(x) 2025-08-14T21:56:12.8180749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8181110Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8181452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8181790Z x = block(x) 2025-08-14T21:56:12.8182098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T21:56:12.8182458Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8182802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:56:12.8183123Z x = self.fc2(x) 2025-08-14T21:56:12.8183227Z 2025-08-14T21:56:12.8183334Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8183708Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8184040Z return mod(*inputs) 2025-08-14T21:56:12.8184342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8184675Z x = self.forward_features(x) 2025-08-14T21:56:12.8185018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8185377Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8185716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8186083Z x = block(x) 2025-08-14T21:56:12.8186364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:56:12.8186722Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8187071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 81, in forward 2025-08-14T21:56:12.8187439Z attn = self.pool(x.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) 2025-08-14T21:56:12.8187622Z 2025-08-14T21:56:12.8187705Z cudagraph partition due to non gpu ops 2025-08-14T21:56:12.8187958Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8188335Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8188685Z return mod(*inputs) 2025-08-14T21:56:12.8189000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8189370Z x = self.forward_features(x) 2025-08-14T21:56:12.8189735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8190135Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8190496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8190858Z x = block(x) 2025-08-14T21:56:12.8191160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:56:12.8191523Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8191883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 82, in forward 2025-08-14T21:56:12.8192228Z attn = self.attn(attn).reshape( 2025-08-14T21:56:12.8192375Z 2025-08-14T21:56:12.8192487Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8192951Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8193321Z return mod(*inputs) 2025-08-14T21:56:12.8193628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8193972Z x = self.forward_features(x) 2025-08-14T21:56:12.8194337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8194711Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8195090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8195449Z x = block(x) 2025-08-14T21:56:12.8195748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:56:12.8196105Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8196684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 74, in forward 2025-08-14T21:56:12.8197059Z v = self.v(x).permute(0, 3, 1, 2) # B, C, H, W 2025-08-14T21:56:12.8197216Z 2025-08-14T21:56:12.8197336Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8197715Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8198065Z return mod(*inputs) 2025-08-14T21:56:12.8198377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8198712Z x = self.forward_features(x) 2025-08-14T21:56:12.8199079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8199467Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8199818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8200167Z x = block(x) 2025-08-14T21:56:12.8200467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:56:12.8200866Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8201223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:56:12.8201653Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:56:12.8201884Z 2025-08-14T21:56:12.8201996Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8202383Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8202722Z return mod(*inputs) 2025-08-14T21:56:12.8203038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8203371Z x = self.forward_features(x) 2025-08-14T21:56:12.8203716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8204089Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8204431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8204805Z x = block(x) 2025-08-14T21:56:12.8205086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:56:12.8205436Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8205784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:56:12.8206183Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:56:12.8206404Z 2025-08-14T21:56:12.8206511Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8206887Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8207225Z return mod(*inputs) 2025-08-14T21:56:12.8207519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8207856Z x = self.forward_features(x) 2025-08-14T21:56:12.8208207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8208556Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8208926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8209275Z x = block(x) 2025-08-14T21:56:12.8209568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:56:12.8209912Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8210260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:56:12.8210692Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:56:12.8210905Z 2025-08-14T21:56:12.8211281Z cudagraph partition due to non gpu ops 2025-08-14T21:56:12.8211501Z cudagraph partition due to non gpu ops 2025-08-14T21:56:12.8211752Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8212122Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8212452Z return mod(*inputs) 2025-08-14T21:56:12.8212756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8213092Z x = self.forward_features(x) 2025-08-14T21:56:12.8213445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8213790Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8214126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8214469Z x = block(x) 2025-08-14T21:56:12.8214757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:56:12.8215164Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8215524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T21:56:12.8215861Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T21:56:12.8216004Z 2025-08-14T21:56:12.8216117Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8216505Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8216861Z return mod(*inputs) 2025-08-14T21:56:12.8217156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8230781Z x = self.forward_features(x) 2025-08-14T21:56:12.8231263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8231657Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8232029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8232481Z x = block(x) 2025-08-14T21:56:12.8232883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:56:12.8233273Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8233661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T21:56:12.8234026Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T21:56:12.8234171Z 2025-08-14T21:56:12.8234285Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8234687Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8235040Z return mod(*inputs) 2025-08-14T21:56:12.8235357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8235692Z x = self.forward_features(x) 2025-08-14T21:56:12.8236047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8236410Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8236746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8237960Z x = block(x) 2025-08-14T21:56:12.8238267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T21:56:12.8238628Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8238974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:56:12.8239298Z x = self.fc1(x) 2025-08-14T21:56:12.8239401Z 2025-08-14T21:56:12.8239556Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8239931Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8240279Z return mod(*inputs) 2025-08-14T21:56:12.8240590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8240925Z x = self.forward_features(x) 2025-08-14T21:56:12.8241271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8241635Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8241978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8242316Z x = block(x) 2025-08-14T21:56:12.8242612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T21:56:12.8242971Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8243316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:56:12.8243668Z x = self.act(x) 2025-08-14T21:56:12.8243777Z 2025-08-14T21:56:12.8243887Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8244266Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8244602Z return mod(*inputs) 2025-08-14T21:56:12.8244910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8245244Z x = self.forward_features(x) 2025-08-14T21:56:12.8245602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8245985Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8246323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8246669Z x = block(x) 2025-08-14T21:56:12.8246956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T21:56:12.8247314Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8247690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:56:12.8248003Z x = self.fc2(x) 2025-08-14T21:56:12.8248108Z 2025-08-14T21:56:12.8248219Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8248599Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8248935Z return mod(*inputs) 2025-08-14T21:56:12.8249232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8249561Z x = self.forward_features(x) 2025-08-14T21:56:12.8249911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8250263Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8250600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8250944Z x = block(x) 2025-08-14T21:56:12.8251233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T21:56:12.8251575Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8251733Z 2025-08-14T21:56:12.8251864Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8252248Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8252593Z return mod(*inputs) 2025-08-14T21:56:12.8252891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8253225Z x = self.forward_features(x) 2025-08-14T21:56:12.8253594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8253951Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8254292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8254638Z x = block(x) 2025-08-14T21:56:12.8254921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 382, in forward 2025-08-14T21:56:12.8255256Z x = self.proj(x) # B, C, H, W 2025-08-14T21:56:12.8255394Z 2025-08-14T21:56:12.8255502Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8255882Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8256215Z return mod(*inputs) 2025-08-14T21:56:12.8256519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8256849Z x = self.forward_features(x) 2025-08-14T21:56:12.8257193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8257573Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8257913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8258253Z x = block(x) 2025-08-14T21:56:12.8258537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8258897Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8259250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:56:12.8259684Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:56:12.8259913Z 2025-08-14T21:56:12.8260003Z cudagraph partition due to non gpu ops 2025-08-14T21:56:12.8260260Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8260638Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8260974Z return mod(*inputs) 2025-08-14T21:56:12.8261307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8261654Z x = self.forward_features(x) 2025-08-14T21:56:12.8262003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8262356Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8262708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8263068Z x = block(x) 2025-08-14T21:56:12.8263370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8263741Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8264093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:56:12.8264437Z x = F.scaled_dot_product_attention( 2025-08-14T21:56:12.8264582Z 2025-08-14T21:56:12.8264691Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8265073Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8265414Z return mod(*inputs) 2025-08-14T21:56:12.8265712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8266069Z x = self.forward_features(x) 2025-08-14T21:56:12.8266443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8266826Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8267176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8267550Z x = block(x) 2025-08-14T21:56:12.8267853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8268235Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8268608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T21:56:12.8268958Z x = self.proj(x) 2025-08-14T21:56:12.8269068Z 2025-08-14T21:56:12.8269186Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8269567Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8269929Z return mod(*inputs) 2025-08-14T21:56:12.8270248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8270601Z x = self.forward_features(x) 2025-08-14T21:56:12.8270967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8271353Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8271708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8272082Z x = block(x) 2025-08-14T21:56:12.8272389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8272862Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8273221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:56:12.8273558Z x = self.fc1(x) 2025-08-14T21:56:12.8273661Z 2025-08-14T21:56:12.8273780Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8274170Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8274523Z return mod(*inputs) 2025-08-14T21:56:12.8274837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8275186Z x = self.forward_features(x) 2025-08-14T21:56:12.8275543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8275946Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8276297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8276646Z x = block(x) 2025-08-14T21:56:12.8276939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8277308Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8277665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:56:12.8277986Z x = self.act(x) 2025-08-14T21:56:12.8278094Z 2025-08-14T21:56:12.8278205Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8278597Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8278942Z return mod(*inputs) 2025-08-14T21:56:12.8279250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8279593Z x = self.forward_features(x) 2025-08-14T21:56:12.8279954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8280317Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8280687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8281041Z x = block(x) 2025-08-14T21:56:12.8281333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8281695Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8282084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:56:12.8282422Z x = self.fc2(x) 2025-08-14T21:56:12.8282527Z 2025-08-14T21:56:12.8282645Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8283048Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8283398Z return mod(*inputs) 2025-08-14T21:56:12.8283711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8284044Z x = self.forward_features(x) 2025-08-14T21:56:12.8284402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8284770Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8285110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8285461Z x = block(x) 2025-08-14T21:56:12.8285761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8286116Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8286489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:56:12.8286913Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:56:12.8287137Z 2025-08-14T21:56:12.8287232Z cudagraph partition due to non gpu ops 2025-08-14T21:56:12.8287479Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8287850Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8288201Z return mod(*inputs) 2025-08-14T21:56:12.8288496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8288825Z x = self.forward_features(x) 2025-08-14T21:56:12.8289173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8289524Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8289865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8290250Z x = block(x) 2025-08-14T21:56:12.8290542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8290889Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8291247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:56:12.8291585Z x = F.scaled_dot_product_attention( 2025-08-14T21:56:12.8291726Z 2025-08-14T21:56:12.8291831Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8292207Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8292547Z return mod(*inputs) 2025-08-14T21:56:12.8292849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8293175Z x = self.forward_features(x) 2025-08-14T21:56:12.8293527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8293890Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8294223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8294563Z x = block(x) 2025-08-14T21:56:12.8294880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8295233Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8295575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T21:56:12.8295899Z x = self.proj(x) 2025-08-14T21:56:12.8296003Z 2025-08-14T21:56:12.8296139Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8296658Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8297011Z return mod(*inputs) 2025-08-14T21:56:12.8297314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8297645Z x = self.forward_features(x) 2025-08-14T21:56:12.8297987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8298349Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8298691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8299025Z x = block(x) 2025-08-14T21:56:12.8299316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8299671Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8299825Z 2025-08-14T21:56:12.8299940Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8300377Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8300721Z return mod(*inputs) 2025-08-14T21:56:12.8301027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8301354Z x = self.forward_features(x) 2025-08-14T21:56:12.8301704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8302065Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8302401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8302740Z x = block(x) 2025-08-14T21:56:12.8303033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8303390Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8303744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:56:12.8304111Z x = self.fc1(x) 2025-08-14T21:56:12.8304212Z 2025-08-14T21:56:12.8304329Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8304714Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8305052Z return mod(*inputs) 2025-08-14T21:56:12.8305376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8305707Z x = self.forward_features(x) 2025-08-14T21:56:12.8306047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8306415Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8306768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8307114Z x = block(x) 2025-08-14T21:56:12.8307403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8307766Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8308122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:56:12.8308443Z x = self.act(x) 2025-08-14T21:56:12.8308552Z 2025-08-14T21:56:12.8308693Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8309090Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8309445Z return mod(*inputs) 2025-08-14T21:56:12.8309748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8310094Z x = self.forward_features(x) 2025-08-14T21:56:12.8310478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8310846Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8311209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8311573Z x = block(x) 2025-08-14T21:56:12.8311882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8312245Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8312601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:56:12.8313004Z x = self.fc2(x) 2025-08-14T21:56:12.8313107Z 2025-08-14T21:56:12.8313219Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8313604Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8313961Z return mod(*inputs) 2025-08-14T21:56:12.8314282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8314655Z x = self.forward_features(x) 2025-08-14T21:56:12.8315013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8315384Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8315736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8316094Z x = block(x) 2025-08-14T21:56:12.8316407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8316771Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8317134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:56:12.8317571Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:56:12.8317806Z 2025-08-14T21:56:12.8317903Z cudagraph partition due to non gpu ops 2025-08-14T21:56:12.8318161Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8318599Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8318957Z return mod(*inputs) 2025-08-14T21:56:12.8319261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8319585Z x = self.forward_features(x) 2025-08-14T21:56:12.8319935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8320295Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8320625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8320968Z x = block(x) 2025-08-14T21:56:12.8321259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8321356Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8321554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:56:12.8321638Z x = F.scaled_dot_product_attention( 2025-08-14T21:56:12.8321642Z 2025-08-14T21:56:12.8321747Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8321959Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8322051Z return mod(*inputs) 2025-08-14T21:56:12.8322245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8322330Z x = self.forward_features(x) 2025-08-14T21:56:12.8322554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8322637Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8322869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8322936Z x = block(x) 2025-08-14T21:56:12.8323132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8323229Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8323418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T21:56:12.8323496Z x = self.proj(x) 2025-08-14T21:56:12.8323502Z 2025-08-14T21:56:12.8323607Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8323819Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8323889Z return mod(*inputs) 2025-08-14T21:56:12.8324076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8324159Z x = self.forward_features(x) 2025-08-14T21:56:12.8324377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8324481Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8324697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8324761Z x = block(x) 2025-08-14T21:56:12.8324957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8325052Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8325240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:56:12.8325315Z x = self.fc1(x) 2025-08-14T21:56:12.8325318Z 2025-08-14T21:56:12.8325424Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8325635Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8325706Z return mod(*inputs) 2025-08-14T21:56:12.8325896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8325997Z x = self.forward_features(x) 2025-08-14T21:56:12.8326217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8326289Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8326509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8326573Z x = block(x) 2025-08-14T21:56:12.8326768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8326864Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8327052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:56:12.8327125Z x = self.act(x) 2025-08-14T21:56:12.8327129Z 2025-08-14T21:56:12.8327232Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8327436Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8327515Z return mod(*inputs) 2025-08-14T21:56:12.8327702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8327783Z x = self.forward_features(x) 2025-08-14T21:56:12.8328030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8328103Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8328324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8328387Z x = block(x) 2025-08-14T21:56:12.8328599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8328705Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8328902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:56:12.8328974Z x = self.fc2(x) 2025-08-14T21:56:12.8328978Z 2025-08-14T21:56:12.8329079Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8329269Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8329344Z return mod(*inputs) 2025-08-14T21:56:12.8329525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8329597Z x = self.forward_features(x) 2025-08-14T21:56:12.8329816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8329886Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8330095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8330157Z x = block(x) 2025-08-14T21:56:12.8330357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8330456Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8330638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:56:12.8330793Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:56:12.8330805Z 2025-08-14T21:56:12.8330887Z cudagraph partition due to non gpu ops 2025-08-14T21:56:12.8330988Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8331199Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8331264Z return mod(*inputs) 2025-08-14T21:56:12.8331449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8331530Z x = self.forward_features(x) 2025-08-14T21:56:12.8331739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8331836Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8332039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8332100Z x = block(x) 2025-08-14T21:56:12.8332295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8332382Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8332561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:56:12.8332648Z x = F.scaled_dot_product_attention( 2025-08-14T21:56:12.8332651Z 2025-08-14T21:56:12.8332752Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8332953Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8333024Z return mod(*inputs) 2025-08-14T21:56:12.8333211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8333294Z x = self.forward_features(x) 2025-08-14T21:56:12.8333511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8333583Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8333820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8333885Z x = block(x) 2025-08-14T21:56:12.8334086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8334179Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8334391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T21:56:12.8334468Z x = self.proj(x) 2025-08-14T21:56:12.8334473Z 2025-08-14T21:56:12.8334578Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8334784Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8334859Z return mod(*inputs) 2025-08-14T21:56:12.8335048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8335130Z x = self.forward_features(x) 2025-08-14T21:56:12.8335347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8335420Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8335638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8335701Z x = block(x) 2025-08-14T21:56:12.8335890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8335991Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8336015Z 2025-08-14T21:56:12.8336124Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8336338Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8336406Z return mod(*inputs) 2025-08-14T21:56:12.8336598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8336683Z x = self.forward_features(x) 2025-08-14T21:56:12.8336904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8336977Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8337197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8337262Z x = block(x) 2025-08-14T21:56:12.8337466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8337556Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8337757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:56:12.8337829Z x = self.fc1(x) 2025-08-14T21:56:12.8337833Z 2025-08-14T21:56:12.8337932Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8338134Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8338198Z return mod(*inputs) 2025-08-14T21:56:12.8338376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8338452Z x = self.forward_features(x) 2025-08-14T21:56:12.8338658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8338726Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8338934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8338999Z x = block(x) 2025-08-14T21:56:12.8339188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8339281Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8339504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:56:12.8339578Z x = self.act(x) 2025-08-14T21:56:12.8339582Z 2025-08-14T21:56:12.8339688Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8339896Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8339973Z return mod(*inputs) 2025-08-14T21:56:12.8340184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8340266Z x = self.forward_features(x) 2025-08-14T21:56:12.8340493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8340563Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8340773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8340833Z x = block(x) 2025-08-14T21:56:12.8341014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8341111Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8341290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:56:12.8341359Z x = self.fc2(x) 2025-08-14T21:56:12.8341362Z 2025-08-14T21:56:12.8341464Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8341662Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8341762Z return mod(*inputs) 2025-08-14T21:56:12.8341950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8342025Z x = self.forward_features(x) 2025-08-14T21:56:12.8342251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8342324Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8342547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8342611Z x = block(x) 2025-08-14T21:56:12.8342800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8342900Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8343091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:56:12.8343254Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:56:12.8343289Z 2025-08-14T21:56:12.8343376Z cudagraph partition due to non gpu ops 2025-08-14T21:56:12.8343481Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8343693Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8343761Z return mod(*inputs) 2025-08-14T21:56:12.8343953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8344034Z x = self.forward_features(x) 2025-08-14T21:56:12.8344257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8344325Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8344532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8344590Z x = block(x) 2025-08-14T21:56:12.8344779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8344875Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8345065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:56:12.8345154Z x = F.scaled_dot_product_attention( 2025-08-14T21:56:12.8345158Z 2025-08-14T21:56:12.8345282Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8345496Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8345564Z return mod(*inputs) 2025-08-14T21:56:12.8345754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8345832Z x = self.forward_features(x) 2025-08-14T21:56:12.8346072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8346155Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8346376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8346441Z x = block(x) 2025-08-14T21:56:12.8346635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8346729Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8346920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T21:56:12.8346995Z x = self.proj(x) 2025-08-14T21:56:12.8346999Z 2025-08-14T21:56:12.8347105Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8347307Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8347385Z return mod(*inputs) 2025-08-14T21:56:12.8347573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8347676Z x = self.forward_features(x) 2025-08-14T21:56:12.8347897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8347969Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8348187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8348252Z x = block(x) 2025-08-14T21:56:12.8348441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8348542Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8348732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:56:12.8348805Z x = self.fc1(x) 2025-08-14T21:56:12.8348810Z 2025-08-14T21:56:12.8348915Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8349117Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8349224Z return mod(*inputs) 2025-08-14T21:56:12.8349417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8349492Z x = self.forward_features(x) 2025-08-14T21:56:12.8349723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8349795Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8350015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8350080Z x = block(x) 2025-08-14T21:56:12.8350270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8350372Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8350562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:56:12.8350630Z x = self.act(x) 2025-08-14T21:56:12.8350644Z 2025-08-14T21:56:12.8350748Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8350951Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8351028Z return mod(*inputs) 2025-08-14T21:56:12.8351240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8351318Z x = self.forward_features(x) 2025-08-14T21:56:12.8351553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8351627Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8351866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8351941Z x = block(x) 2025-08-14T21:56:12.8352137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8352241Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8352435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:56:12.8352501Z x = self.fc2(x) 2025-08-14T21:56:12.8352505Z 2025-08-14T21:56:12.8352619Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8352920Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8353005Z return mod(*inputs) 2025-08-14T21:56:12.8353202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8353281Z x = self.forward_features(x) 2025-08-14T21:56:12.8353516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8353590Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8353811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8353909Z x = block(x) 2025-08-14T21:56:12.8354104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8354210Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8354407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:56:12.8354570Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:56:12.8354575Z 2025-08-14T21:56:12.8354671Z cudagraph partition due to non gpu ops 2025-08-14T21:56:12.8354779Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8355002Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8355078Z return mod(*inputs) 2025-08-14T21:56:12.8355267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8355370Z x = self.forward_features(x) 2025-08-14T21:56:12.8355593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8355666Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8355891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8355954Z x = block(x) 2025-08-14T21:56:12.8356146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8356248Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8356442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:56:12.8356532Z x = F.scaled_dot_product_attention( 2025-08-14T21:56:12.8356536Z 2025-08-14T21:56:12.8356642Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8356850Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8356929Z return mod(*inputs) 2025-08-14T21:56:12.8357121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8357195Z x = self.forward_features(x) 2025-08-14T21:56:12.8357447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8357525Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8357756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8357822Z x = block(x) 2025-08-14T21:56:12.8358045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8358153Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8358354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T21:56:12.8358426Z x = self.proj(x) 2025-08-14T21:56:12.8358436Z 2025-08-14T21:56:12.8358545Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8358764Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8358842Z return mod(*inputs) 2025-08-14T21:56:12.8359035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8359109Z x = self.forward_features(x) 2025-08-14T21:56:12.8359340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8359414Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8359633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8359717Z x = block(x) 2025-08-14T21:56:12.8359907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8360011Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8360015Z 2025-08-14T21:56:12.8360120Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8360325Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8360403Z return mod(*inputs) 2025-08-14T21:56:12.8360594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8360673Z x = self.forward_features(x) 2025-08-14T21:56:12.8360892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8360967Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8361184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8361249Z x = block(x) 2025-08-14T21:56:12.8361461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8361562Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8361751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:56:12.8361826Z x = self.fc1(x) 2025-08-14T21:56:12.8361830Z 2025-08-14T21:56:12.8361934Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8362140Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8362216Z return mod(*inputs) 2025-08-14T21:56:12.8362406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8362480Z x = self.forward_features(x) 2025-08-14T21:56:12.8362705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8362781Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8362999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8363063Z x = block(x) 2025-08-14T21:56:12.8363251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8363369Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8363560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:56:12.8363627Z x = self.act(x) 2025-08-14T21:56:12.8363631Z 2025-08-14T21:56:12.8363744Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8363966Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8364044Z return mod(*inputs) 2025-08-14T21:56:12.8364233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8364309Z x = self.forward_features(x) 2025-08-14T21:56:12.8364533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8364604Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8364816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8364883Z x = block(x) 2025-08-14T21:56:12.8365070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8365172Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8365361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:56:12.8365428Z x = self.fc2(x) 2025-08-14T21:56:12.8365433Z 2025-08-14T21:56:12.8365547Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8365775Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8365847Z return mod(*inputs) 2025-08-14T21:56:12.8366057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8366132Z x = self.forward_features(x) 2025-08-14T21:56:12.8366360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8366432Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8366645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8366717Z x = block(x) 2025-08-14T21:56:12.8366908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8367002Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8367198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:56:12.8367379Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:56:12.8367383Z 2025-08-14T21:56:12.8367475Z cudagraph partition due to non gpu ops 2025-08-14T21:56:12.8367582Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8367790Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8367870Z return mod(*inputs) 2025-08-14T21:56:12.8368058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8368140Z x = self.forward_features(x) 2025-08-14T21:56:12.8368358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8368432Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8368650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8368716Z x = block(x) 2025-08-14T21:56:12.8368903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8369005Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8369214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:56:12.8369307Z x = F.scaled_dot_product_attention( 2025-08-14T21:56:12.8369311Z 2025-08-14T21:56:12.8369417Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8369625Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8369704Z return mod(*inputs) 2025-08-14T21:56:12.8369914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8369992Z x = self.forward_features(x) 2025-08-14T21:56:12.8370226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8370301Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8370524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8370588Z x = block(x) 2025-08-14T21:56:12.8370782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8370882Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8371076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T21:56:12.8371144Z x = self.proj(x) 2025-08-14T21:56:12.8371148Z 2025-08-14T21:56:12.8371264Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8371470Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8371579Z return mod(*inputs) 2025-08-14T21:56:12.8371769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8371844Z x = self.forward_features(x) 2025-08-14T21:56:12.8372069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8372143Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8372355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8372426Z x = block(x) 2025-08-14T21:56:12.8372615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8372715Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8372905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:56:12.8372972Z x = self.fc1(x) 2025-08-14T21:56:12.8372977Z 2025-08-14T21:56:12.8373090Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8373316Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8373386Z return mod(*inputs) 2025-08-14T21:56:12.8373583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8373659Z x = self.forward_features(x) 2025-08-14T21:56:12.8373881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8373954Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8374165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8374238Z x = block(x) 2025-08-14T21:56:12.8374431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8374525Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8374720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:56:12.8374786Z x = self.act(x) 2025-08-14T21:56:12.8374790Z 2025-08-14T21:56:12.8374905Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8375131Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8375202Z return mod(*inputs) 2025-08-14T21:56:12.8375399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8375476Z x = self.forward_features(x) 2025-08-14T21:56:12.8375703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8375795Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8376010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8376083Z x = block(x) 2025-08-14T21:56:12.8376273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8376367Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8376565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:56:12.8376634Z x = self.fc2(x) 2025-08-14T21:56:12.8376638Z 2025-08-14T21:56:12.8376750Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8376955Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8377023Z return mod(*inputs) 2025-08-14T21:56:12.8377221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8377296Z x = self.forward_features(x) 2025-08-14T21:56:12.8377513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8377616Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8377831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8377898Z x = block(x) 2025-08-14T21:56:12.8378092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8378186Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8378384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:56:12.8378544Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:56:12.8378548Z 2025-08-14T21:56:12.8378633Z cudagraph partition due to non gpu ops 2025-08-14T21:56:12.8378746Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8378956Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8379057Z return mod(*inputs) 2025-08-14T21:56:12.8379245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8379317Z x = self.forward_features(x) 2025-08-14T21:56:12.8379541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8379613Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8379822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8379893Z x = block(x) 2025-08-14T21:56:12.8380082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8380183Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8380371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:56:12.8380453Z x = F.scaled_dot_product_attention( 2025-08-14T21:56:12.8380459Z 2025-08-14T21:56:12.8380571Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8380776Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8380851Z return mod(*inputs) 2025-08-14T21:56:12.8381064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8381141Z x = self.forward_features(x) 2025-08-14T21:56:12.8381372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8381444Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8381678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8381751Z x = block(x) 2025-08-14T21:56:12.8381941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8382043Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8382232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T21:56:12.8382300Z x = self.proj(x) 2025-08-14T21:56:12.8382304Z 2025-08-14T21:56:12.8382419Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8382621Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8382691Z return mod(*inputs) 2025-08-14T21:56:12.8382887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8382962Z x = self.forward_features(x) 2025-08-14T21:56:12.8383190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8383262Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8383495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8383569Z x = block(x) 2025-08-14T21:56:12.8383760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8383852Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8383855Z 2025-08-14T21:56:12.8383970Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8384176Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8384252Z return mod(*inputs) 2025-08-14T21:56:12.8384444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8384520Z x = self.forward_features(x) 2025-08-14T21:56:12.8384750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8384825Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8385061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8385132Z x = block(x) 2025-08-14T21:56:12.8385321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8385422Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8385611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:56:12.8385676Z x = self.fc1(x) 2025-08-14T21:56:12.8385680Z 2025-08-14T21:56:12.8385794Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8385996Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8386066Z return mod(*inputs) 2025-08-14T21:56:12.8386264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8386340Z x = self.forward_features(x) 2025-08-14T21:56:12.8386568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8386639Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8386854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8386941Z x = block(x) 2025-08-14T21:56:12.8387132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8387225Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8387421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:56:12.8387487Z x = self.act(x) 2025-08-14T21:56:12.8387507Z 2025-08-14T21:56:12.8387624Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8387831Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8387902Z return mod(*inputs) 2025-08-14T21:56:12.8388105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8388182Z x = self.forward_features(x) 2025-08-14T21:56:12.8388412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8388494Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8388712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8388783Z x = block(x) 2025-08-14T21:56:12.8388981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8389078Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8389281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:56:12.8389372Z x = self.fc2(x) 2025-08-14T21:56:12.8389378Z 2025-08-14T21:56:12.8389496Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8389706Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8389776Z return mod(*inputs) 2025-08-14T21:56:12.8389982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8390059Z x = self.forward_features(x) 2025-08-14T21:56:12.8390286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8390368Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8390590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8390663Z x = block(x) 2025-08-14T21:56:12.8390859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8390979Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8391178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:56:12.8391341Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:56:12.8391345Z 2025-08-14T21:56:12.8391433Z cudagraph partition due to non gpu ops 2025-08-14T21:56:12.8391548Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8391759Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8391835Z return mod(*inputs) 2025-08-14T21:56:12.8392031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8392106Z x = self.forward_features(x) 2025-08-14T21:56:12.8392339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8392417Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8392634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8392792Z x = block(x) 2025-08-14T21:56:12.8393020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8393128Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8393332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:56:12.8393418Z x = F.scaled_dot_product_attention( 2025-08-14T21:56:12.8393422Z 2025-08-14T21:56:12.8393539Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8393780Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8393853Z return mod(*inputs) 2025-08-14T21:56:12.8394064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8394142Z x = self.forward_features(x) 2025-08-14T21:56:12.8394370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8394444Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8394659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8394732Z x = block(x) 2025-08-14T21:56:12.8394924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8395017Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8395214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T21:56:12.8395283Z x = self.proj(x) 2025-08-14T21:56:12.8395286Z 2025-08-14T21:56:12.8395421Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8395629Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8395698Z return mod(*inputs) 2025-08-14T21:56:12.8395895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8395969Z x = self.forward_features(x) 2025-08-14T21:56:12.8396195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8396270Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8396646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8396728Z x = block(x) 2025-08-14T21:56:12.8396926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8397022Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8397223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:56:12.8397338Z x = self.fc1(x) 2025-08-14T21:56:12.8397342Z 2025-08-14T21:56:12.8397458Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8397667Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8397738Z return mod(*inputs) 2025-08-14T21:56:12.8397933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8398008Z x = self.forward_features(x) 2025-08-14T21:56:12.8398226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8398309Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8398527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8398600Z x = block(x) 2025-08-14T21:56:12.8398791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8398888Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8399087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:56:12.8399157Z x = self.act(x) 2025-08-14T21:56:12.8399187Z 2025-08-14T21:56:12.8399299Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8399519Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8399588Z return mod(*inputs) 2025-08-14T21:56:12.8399785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8399883Z x = self.forward_features(x) 2025-08-14T21:56:12.8400105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8400187Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8400401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8400466Z x = block(x) 2025-08-14T21:56:12.8400665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8400760Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8400954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:56:12.8401020Z x = self.fc2(x) 2025-08-14T21:56:12.8401024Z 2025-08-14T21:56:12.8401127Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8401342Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8401411Z return mod(*inputs) 2025-08-14T21:56:12.8401602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8401720Z x = self.forward_features(x) 2025-08-14T21:56:12.8401947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8402026Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8402247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8402313Z x = block(x) 2025-08-14T21:56:12.8402515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8402614Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8402809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:56:12.8402985Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:56:12.8402989Z 2025-08-14T21:56:12.8403077Z cudagraph partition due to non gpu ops 2025-08-14T21:56:12.8403219Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8403431Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8403513Z return mod(*inputs) 2025-08-14T21:56:12.8403711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8403785Z x = self.forward_features(x) 2025-08-14T21:56:12.8404012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8404085Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8404299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8404368Z x = block(x) 2025-08-14T21:56:12.8404558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8404652Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8404848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:56:12.8404928Z x = F.scaled_dot_product_attention( 2025-08-14T21:56:12.8404932Z 2025-08-14T21:56:12.8405045Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8405269Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8405338Z return mod(*inputs) 2025-08-14T21:56:12.8405535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8405606Z x = self.forward_features(x) 2025-08-14T21:56:12.8405843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8405924Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8406135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8406207Z x = block(x) 2025-08-14T21:56:12.8406395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8406488Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8406683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T21:56:12.8406752Z x = self.proj(x) 2025-08-14T21:56:12.8406755Z 2025-08-14T21:56:12.8406861Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8407071Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8407139Z return mod(*inputs) 2025-08-14T21:56:12.8407337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8407411Z x = self.forward_features(x) 2025-08-14T21:56:12.8407650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8407731Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8407941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8408004Z x = block(x) 2025-08-14T21:56:12.8408201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8408294Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8408297Z 2025-08-14T21:56:12.8408406Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8408607Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8408676Z return mod(*inputs) 2025-08-14T21:56:12.8408873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8408948Z x = self.forward_features(x) 2025-08-14T21:56:12.8409192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8409273Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8409485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8409558Z x = block(x) 2025-08-14T21:56:12.8409749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8409846Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8410044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:56:12.8410112Z x = self.fc1(x) 2025-08-14T21:56:12.8410115Z 2025-08-14T21:56:12.8410231Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8410437Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8410506Z return mod(*inputs) 2025-08-14T21:56:12.8410705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8410779Z x = self.forward_features(x) 2025-08-14T21:56:12.8411000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8411100Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8411315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8411385Z x = block(x) 2025-08-14T21:56:12.8411577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8411671Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8411887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:56:12.8411956Z x = self.act(x) 2025-08-14T21:56:12.8411960Z 2025-08-14T21:56:12.8412068Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8412274Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8412343Z return mod(*inputs) 2025-08-14T21:56:12.8412543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8412617Z x = self.forward_features(x) 2025-08-14T21:56:12.8412836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8412914Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8413126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8413192Z x = block(x) 2025-08-14T21:56:12.8413402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8413521Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8413725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:56:12.8413794Z x = self.fc2(x) 2025-08-14T21:56:12.8413798Z 2025-08-14T21:56:12.8413908Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8414137Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8414208Z return mod(*inputs) 2025-08-14T21:56:12.8414404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8414488Z x = self.forward_features(x) 2025-08-14T21:56:12.8414718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8414800Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8415016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8415101Z x = block(x) 2025-08-14T21:56:12.8415363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8415464Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8415670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:56:12.8415842Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:56:12.8415846Z 2025-08-14T21:56:12.8415934Z cudagraph partition due to non gpu ops 2025-08-14T21:56:12.8416052Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8416282Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8416353Z return mod(*inputs) 2025-08-14T21:56:12.8416556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8416636Z x = self.forward_features(x) 2025-08-14T21:56:12.8416863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8416945Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8417192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8417267Z x = block(x) 2025-08-14T21:56:12.8417473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8417568Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8417770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:56:12.8417875Z x = F.scaled_dot_product_attention( 2025-08-14T21:56:12.8417880Z 2025-08-14T21:56:12.8417995Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8418208Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8418280Z return mod(*inputs) 2025-08-14T21:56:12.8418480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8418555Z x = self.forward_features(x) 2025-08-14T21:56:12.8418782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8418865Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8419086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8419158Z x = block(x) 2025-08-14T21:56:12.8419366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8419461Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8419668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T21:56:12.8419771Z x = self.proj(x) 2025-08-14T21:56:12.8419775Z 2025-08-14T21:56:12.8419886Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8420124Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8420195Z return mod(*inputs) 2025-08-14T21:56:12.8420401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8420478Z x = self.forward_features(x) 2025-08-14T21:56:12.8420710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8420792Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8421014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8421080Z x = block(x) 2025-08-14T21:56:12.8421284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8421403Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8421604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:56:12.8421672Z x = self.fc1(x) 2025-08-14T21:56:12.8421675Z 2025-08-14T21:56:12.8421787Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8422006Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8422077Z return mod(*inputs) 2025-08-14T21:56:12.8422272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8422356Z x = self.forward_features(x) 2025-08-14T21:56:12.8422582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8422666Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8422883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8422950Z x = block(x) 2025-08-14T21:56:12.8423151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8423248Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8423462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:56:12.8423541Z x = self.act(x) 2025-08-14T21:56:12.8423545Z 2025-08-14T21:56:12.8423655Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8423884Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8423975Z return mod(*inputs) 2025-08-14T21:56:12.8424173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8424261Z x = self.forward_features(x) 2025-08-14T21:56:12.8424490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8424566Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8424795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8424862Z x = block(x) 2025-08-14T21:56:12.8425064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8425160Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8425352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:56:12.8425428Z x = self.fc2(x) 2025-08-14T21:56:12.8425432Z 2025-08-14T21:56:12.8425543Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8425761Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8425857Z return mod(*inputs) 2025-08-14T21:56:12.8426054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8426136Z x = self.forward_features(x) 2025-08-14T21:56:12.8426363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8426441Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8426667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8426731Z x = block(x) 2025-08-14T21:56:12.8426929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8427035Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8427231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:56:12.8427407Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:56:12.8427433Z 2025-08-14T21:56:12.8427522Z cudagraph partition due to non gpu ops 2025-08-14T21:56:12.8427632Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8427852Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8427924Z return mod(*inputs) 2025-08-14T21:56:12.8428123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8428199Z x = self.forward_features(x) 2025-08-14T21:56:12.8428422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8428504Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8428721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8428789Z x = block(x) 2025-08-14T21:56:12.8428995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8429091Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8429293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:56:12.8429397Z x = F.scaled_dot_product_attention( 2025-08-14T21:56:12.8429401Z 2025-08-14T21:56:12.8429511Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8429738Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8429807Z return mod(*inputs) 2025-08-14T21:56:12.8430016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8430099Z x = self.forward_features(x) 2025-08-14T21:56:12.8430318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8430399Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8430611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8430674Z x = block(x) 2025-08-14T21:56:12.8430869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8430963Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8431155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T21:56:12.8431231Z x = self.proj(x) 2025-08-14T21:56:12.8431235Z 2025-08-14T21:56:12.8431343Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8431561Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8431631Z return mod(*inputs) 2025-08-14T21:56:12.8431845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8431933Z x = self.forward_features(x) 2025-08-14T21:56:12.8432156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8432230Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8432455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8432520Z x = block(x) 2025-08-14T21:56:12.8432805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8432908Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8432913Z 2025-08-14T21:56:12.8433022Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8433245Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8433319Z return mod(*inputs) 2025-08-14T21:56:12.8433524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8433628Z x = self.forward_features(x) 2025-08-14T21:56:12.8433855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8433937Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8434162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8434228Z x = block(x) 2025-08-14T21:56:12.8434444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8434538Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8434738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:56:12.8434805Z x = self.fc1(x) 2025-08-14T21:56:12.8434810Z 2025-08-14T21:56:12.8434917Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8435131Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8435201Z return mod(*inputs) 2025-08-14T21:56:12.8435392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8435494Z x = self.forward_features(x) 2025-08-14T21:56:12.8435717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8435795Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8436011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8436074Z x = block(x) 2025-08-14T21:56:12.8436290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8436386Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8436579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:56:12.8436654Z x = self.act(x) 2025-08-14T21:56:12.8436658Z 2025-08-14T21:56:12.8436764Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8436977Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8437047Z return mod(*inputs) 2025-08-14T21:56:12.8437235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8437319Z x = self.forward_features(x) 2025-08-14T21:56:12.8437543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8437620Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8437848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8437936Z x = block(x) 2025-08-14T21:56:12.8438142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8438249Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8438437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:56:12.8438512Z x = self.fc2(x) 2025-08-14T21:56:12.8438516Z 2025-08-14T21:56:12.8438622Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8438822Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8438899Z return mod(*inputs) 2025-08-14T21:56:12.8439086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8439167Z x = self.forward_features(x) 2025-08-14T21:56:12.8439385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8439490Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8439712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8439776Z x = block(x) 2025-08-14T21:56:12.8439964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8440069Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8440259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:56:12.8440428Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:56:12.8440432Z 2025-08-14T21:56:12.8440518Z cudagraph partition due to non gpu ops 2025-08-14T21:56:12.8440626Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8440839Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8440912Z return mod(*inputs) 2025-08-14T21:56:12.8441109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8441184Z x = self.forward_features(x) 2025-08-14T21:56:12.8441406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8441509Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8441731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8441797Z x = block(x) 2025-08-14T21:56:12.8442002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8442132Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8442339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:56:12.8442426Z x = F.scaled_dot_product_attention( 2025-08-14T21:56:12.8442432Z 2025-08-14T21:56:12.8442541Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8442758Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8442828Z return mod(*inputs) 2025-08-14T21:56:12.8443026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8443110Z x = self.forward_features(x) 2025-08-14T21:56:12.8443343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8443423Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8443637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8443700Z x = block(x) 2025-08-14T21:56:12.8443896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8444008Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8444197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T21:56:12.8444273Z x = self.proj(x) 2025-08-14T21:56:12.8444276Z 2025-08-14T21:56:12.8444384Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8444599Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8444669Z return mod(*inputs) 2025-08-14T21:56:12.8444860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8444944Z x = self.forward_features(x) 2025-08-14T21:56:12.8445167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8445241Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8445461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8445545Z x = block(x) 2025-08-14T21:56:12.8445745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8445840Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8446033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:56:12.8446108Z x = self.fc1(x) 2025-08-14T21:56:12.8446112Z 2025-08-14T21:56:12.8446217Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8446422Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8446497Z return mod(*inputs) 2025-08-14T21:56:12.8446692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8446775Z x = self.forward_features(x) 2025-08-14T21:56:12.8447000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8447074Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8447298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8447362Z x = block(x) 2025-08-14T21:56:12.8447580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8447684Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8447872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:56:12.8447945Z x = self.act(x) 2025-08-14T21:56:12.8447948Z 2025-08-14T21:56:12.8448076Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8448282Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8448362Z return mod(*inputs) 2025-08-14T21:56:12.8448553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8448634Z x = self.forward_features(x) 2025-08-14T21:56:12.8448855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8448929Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8449149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8449215Z x = block(x) 2025-08-14T21:56:12.8449405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8449507Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8449696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:56:12.8449769Z x = self.fc2(x) 2025-08-14T21:56:12.8449792Z 2025-08-14T21:56:12.8449900Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8450110Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8450185Z return mod(*inputs) 2025-08-14T21:56:12.8450376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8450450Z x = self.forward_features(x) 2025-08-14T21:56:12.8450677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8450750Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8450972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8451037Z x = block(x) 2025-08-14T21:56:12.8451228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8451331Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8451546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:56:12.8451706Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:56:12.8451718Z 2025-08-14T21:56:12.8451803Z cudagraph partition due to non gpu ops 2025-08-14T21:56:12.8451912Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8452123Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8452192Z return mod(*inputs) 2025-08-14T21:56:12.8452380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8452470Z x = self.forward_features(x) 2025-08-14T21:56:12.8452691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8452765Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8452986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8453049Z x = block(x) 2025-08-14T21:56:12.8453244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8453356Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8453548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:56:12.8453639Z x = F.scaled_dot_product_attention( 2025-08-14T21:56:12.8453643Z 2025-08-14T21:56:12.8453748Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8453979Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8454050Z return mod(*inputs) 2025-08-14T21:56:12.8454241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8454326Z x = self.forward_features(x) 2025-08-14T21:56:12.8454552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8454628Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8454863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8454928Z x = block(x) 2025-08-14T21:56:12.8455139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8455233Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8455427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 181, in forward 2025-08-14T21:56:12.8455504Z x = self.proj(x) 2025-08-14T21:56:12.8455508Z 2025-08-14T21:56:12.8455615Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8455854Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8455936Z return mod(*inputs) 2025-08-14T21:56:12.8456132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8456216Z x = self.forward_features(x) 2025-08-14T21:56:12.8456444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8456519Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8456745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8456811Z x = block(x) 2025-08-14T21:56:12.8457004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:56:12.8457107Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8457111Z 2025-08-14T21:56:12.8457221Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8457437Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8457530Z return mod(*inputs) 2025-08-14T21:56:12.8457726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8457808Z x = self.forward_features(x) 2025-08-14T21:56:12.8458038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8458112Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8458340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8458405Z x = block(x) 2025-08-14T21:56:12.8458609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8458707Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8458903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:56:12.8458980Z x = self.fc1(x) 2025-08-14T21:56:12.8458984Z 2025-08-14T21:56:12.8459093Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8459300Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8459400Z return mod(*inputs) 2025-08-14T21:56:12.8459597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8459680Z x = self.forward_features(x) 2025-08-14T21:56:12.8459906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8459978Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8460216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8460282Z x = block(x) 2025-08-14T21:56:12.8460481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8460585Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8460783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:56:12.8460857Z x = self.act(x) 2025-08-14T21:56:12.8460861Z 2025-08-14T21:56:12.8460973Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8461186Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8461265Z return mod(*inputs) 2025-08-14T21:56:12.8461463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8461539Z x = self.forward_features(x) 2025-08-14T21:56:12.8461777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:56:12.8461882Z x = self.forward_tokens(x) 2025-08-14T21:56:12.8462108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:56:12.8462172Z x = block(x) 2025-08-14T21:56:12.8462367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:56:12.8462474Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:56:12.8462669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:56:12.8462737Z x = self.fc2(x) 2025-08-14T21:56:12.8462749Z 2025-08-14T21:56:12.8462834Z cudagraph partition due to non gpu ops 2025-08-14T21:56:12.8462944Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8463167Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8463240Z return mod(*inputs) 2025-08-14T21:56:12.8463437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8463549Z x = self.forward_features(x) 2025-08-14T21:56:12.8463779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:56:12.8463864Z x = self.forward_cls(x) 2025-08-14T21:56:12.8464080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 651, in forward_cls 2025-08-14T21:56:12.8464167Z x = torch.cat([cls_tokens, x], dim=1) 2025-08-14T21:56:12.8464171Z 2025-08-14T21:56:12.8464287Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8464498Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8464570Z return mod(*inputs) 2025-08-14T21:56:12.8464771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8464845Z x = self.forward_features(x) 2025-08-14T21:56:12.8465077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:56:12.8465153Z x = self.forward_cls(x) 2025-08-14T21:56:12.8465364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:56:12.8465435Z x = block(x) 2025-08-14T21:56:12.8465653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-14T21:56:12.8465793Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8465995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 244, in forward 2025-08-14T21:56:12.8466176Z kv = self.kv(x).reshape(B, N, 2, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-08-14T21:56:12.8466182Z 2025-08-14T21:56:12.8466300Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8466514Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8466587Z return mod(*inputs) 2025-08-14T21:56:12.8466791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8466866Z x = self.forward_features(x) 2025-08-14T21:56:12.8467092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:56:12.8467175Z x = self.forward_cls(x) 2025-08-14T21:56:12.8467386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:56:12.8467458Z x = block(x) 2025-08-14T21:56:12.8467653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-14T21:56:12.8467790Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8467993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 246, in forward 2025-08-14T21:56:12.8468172Z q = self.q(x[:, :1, :]).reshape(B, self.num_heads, 1, self.head_dim) * self.scale 2025-08-14T21:56:12.8468176Z 2025-08-14T21:56:12.8468292Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8468500Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8468573Z return mod(*inputs) 2025-08-14T21:56:12.8468773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8468849Z x = self.forward_features(x) 2025-08-14T21:56:12.8469072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:56:12.8469155Z x = self.forward_cls(x) 2025-08-14T21:56:12.8469374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:56:12.8469450Z x = block(x) 2025-08-14T21:56:12.8469645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-14T21:56:12.8469801Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8470001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 252, in forward 2025-08-14T21:56:12.8470171Z cls_embed = (attn @ v).transpose(1, 2).reshape(B, 1, self.head_dim * self.num_heads) 2025-08-14T21:56:12.8470175Z 2025-08-14T21:56:12.8470289Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8470509Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8470585Z return mod(*inputs) 2025-08-14T21:56:12.8470792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8470872Z x = self.forward_features(x) 2025-08-14T21:56:12.8471101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:56:12.8471189Z x = self.forward_cls(x) 2025-08-14T21:56:12.8471404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:56:12.8471482Z x = block(x) 2025-08-14T21:56:12.8471699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-14T21:56:12.8471826Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8472018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 253, in forward 2025-08-14T21:56:12.8472098Z cls_embed = self.proj(cls_embed) 2025-08-14T21:56:12.8472102Z 2025-08-14T21:56:12.8472207Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8472438Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8472511Z return mod(*inputs) 2025-08-14T21:56:12.8472783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8472868Z x = self.forward_features(x) 2025-08-14T21:56:12.8473093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:56:12.8473174Z x = self.forward_cls(x) 2025-08-14T21:56:12.8473382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:56:12.8473445Z x = block(x) 2025-08-14T21:56:12.8473642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-14T21:56:12.8473785Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-14T21:56:12.8473987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:56:12.8474054Z x = self.fc1(x) 2025-08-14T21:56:12.8474083Z 2025-08-14T21:56:12.8474193Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8474412Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8474482Z return mod(*inputs) 2025-08-14T21:56:12.8474670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8474755Z x = self.forward_features(x) 2025-08-14T21:56:12.8474975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:56:12.8475054Z x = self.forward_cls(x) 2025-08-14T21:56:12.8475259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:56:12.8475324Z x = block(x) 2025-08-14T21:56:12.8475520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-14T21:56:12.8475662Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-14T21:56:12.8475872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:56:12.8475945Z x = self.act(x) 2025-08-14T21:56:12.8475949Z 2025-08-14T21:56:12.8476054Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8476268Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8476335Z return mod(*inputs) 2025-08-14T21:56:12.8476524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8476607Z x = self.forward_features(x) 2025-08-14T21:56:12.8476825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:56:12.8476899Z x = self.forward_cls(x) 2025-08-14T21:56:12.8477109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:56:12.8477175Z x = block(x) 2025-08-14T21:56:12.8477376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-14T21:56:12.8477514Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-14T21:56:12.8477721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:56:12.8477798Z x = self.fc2(x) 2025-08-14T21:56:12.8477802Z 2025-08-14T21:56:12.8477908Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8478120Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8478189Z return mod(*inputs) 2025-08-14T21:56:12.8478397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8478480Z x = self.forward_features(x) 2025-08-14T21:56:12.8478699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:56:12.8478773Z x = self.forward_cls(x) 2025-08-14T21:56:12.8478989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:56:12.8479052Z x = block(x) 2025-08-14T21:56:12.8479245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-14T21:56:12.8479392Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-14T21:56:12.8479396Z 2025-08-14T21:56:12.8479480Z cudagraph partition due to non gpu ops 2025-08-14T21:56:12.8479597Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8479800Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8479872Z return mod(*inputs) 2025-08-14T21:56:12.8480069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8480163Z x = self.forward_features(x) 2025-08-14T21:56:12.8480392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:56:12.8480464Z x = self.forward_cls(x) 2025-08-14T21:56:12.8480669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:56:12.8480741Z x = block(x) 2025-08-14T21:56:12.8480932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 298, in forward 2025-08-14T21:56:12.8481031Z return torch.cat([cls_embed, x[:, 1:]], dim=1) 2025-08-14T21:56:12.8481035Z 2025-08-14T21:56:12.8481149Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8481355Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8481430Z return mod(*inputs) 2025-08-14T21:56:12.8481621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8481718Z x = self.forward_features(x) 2025-08-14T21:56:12.8481947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:56:12.8482017Z x = self.forward_cls(x) 2025-08-14T21:56:12.8482225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:56:12.8482296Z x = block(x) 2025-08-14T21:56:12.8482486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-14T21:56:12.8482621Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8482813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 244, in forward 2025-08-14T21:56:12.8482968Z kv = self.kv(x).reshape(B, N, 2, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-08-14T21:56:12.8482973Z 2025-08-14T21:56:12.8483088Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8483292Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8483368Z return mod(*inputs) 2025-08-14T21:56:12.8483561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8483652Z x = self.forward_features(x) 2025-08-14T21:56:12.8483880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:56:12.8483952Z x = self.forward_cls(x) 2025-08-14T21:56:12.8484154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:56:12.8484225Z x = block(x) 2025-08-14T21:56:12.8484444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-14T21:56:12.8484577Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8484769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 246, in forward 2025-08-14T21:56:12.8484907Z q = self.q(x[:, :1, :]).reshape(B, self.num_heads, 1, self.head_dim) * self.scale 2025-08-14T21:56:12.8484911Z 2025-08-14T21:56:12.8485027Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8485230Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8485299Z return mod(*inputs) 2025-08-14T21:56:12.8485495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8485567Z x = self.forward_features(x) 2025-08-14T21:56:12.8485794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:56:12.8485864Z x = self.forward_cls(x) 2025-08-14T21:56:12.8486067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:56:12.8486162Z x = block(x) 2025-08-14T21:56:12.8486354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-14T21:56:12.8486477Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8486675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 252, in forward 2025-08-14T21:56:12.8486832Z cls_embed = (attn @ v).transpose(1, 2).reshape(B, 1, self.head_dim * self.num_heads) 2025-08-14T21:56:12.8486836Z 2025-08-14T21:56:12.8486949Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8487157Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8487228Z return mod(*inputs) 2025-08-14T21:56:12.8487428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8487501Z x = self.forward_features(x) 2025-08-14T21:56:12.8487748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:56:12.8487819Z x = self.forward_cls(x) 2025-08-14T21:56:12.8488025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:56:12.8488098Z x = block(x) 2025-08-14T21:56:12.8488289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-14T21:56:12.8488412Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:56:12.8488608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 253, in forward 2025-08-14T21:56:12.8488688Z cls_embed = self.proj(cls_embed) 2025-08-14T21:56:12.8488692Z 2025-08-14T21:56:12.8488805Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8489008Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8489077Z return mod(*inputs) 2025-08-14T21:56:12.8489272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8489344Z x = self.forward_features(x) 2025-08-14T21:56:12.8489581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:56:12.8489665Z x = self.forward_cls(x) 2025-08-14T21:56:12.8489869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:56:12.8489940Z x = block(x) 2025-08-14T21:56:12.8490130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-14T21:56:12.8490285Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-14T21:56:12.8490491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-08-14T21:56:12.8490561Z x = self.fc1(x) 2025-08-14T21:56:12.8490565Z 2025-08-14T21:56:12.8490674Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8490884Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8490953Z return mod(*inputs) 2025-08-14T21:56:12.8491151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8491226Z x = self.forward_features(x) 2025-08-14T21:56:12.8491447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:56:12.8491526Z x = self.forward_cls(x) 2025-08-14T21:56:12.8491734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:56:12.8491798Z x = block(x) 2025-08-14T21:56:12.8491998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-14T21:56:12.8492158Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-14T21:56:12.8492353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:56:12.8492419Z x = self.act(x) 2025-08-14T21:56:12.8492423Z 2025-08-14T21:56:12.8492530Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8492740Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8492808Z return mod(*inputs) 2025-08-14T21:56:12.8492996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8493077Z x = self.forward_features(x) 2025-08-14T21:56:12.8493297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:56:12.8493376Z x = self.forward_cls(x) 2025-08-14T21:56:12.8493579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:56:12.8493663Z x = block(x) 2025-08-14T21:56:12.8493860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-14T21:56:12.8493997Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-14T21:56:12.8494193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 48, in forward 2025-08-14T21:56:12.8494258Z x = self.fc2(x) 2025-08-14T21:56:12.8494262Z 2025-08-14T21:56:12.8494367Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8494575Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8494646Z return mod(*inputs) 2025-08-14T21:56:12.8494837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8494919Z x = self.forward_features(x) 2025-08-14T21:56:12.8495142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:56:12.8495222Z x = self.forward_cls(x) 2025-08-14T21:56:12.8495430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:56:12.8495521Z x = block(x) 2025-08-14T21:56:12.8495722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-14T21:56:12.8495857Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-14T21:56:12.8495861Z 2025-08-14T21:56:12.8495946Z cudagraph partition due to non gpu ops 2025-08-14T21:56:12.8496084Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8496294Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8496373Z return mod(*inputs) 2025-08-14T21:56:12.8496701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:56:12.8496784Z x = self.forward_features(x) 2025-08-14T21:56:12.8497012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:56:12.8497085Z x = self.forward_cls(x) 2025-08-14T21:56:12.8497293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:56:12.8497366Z x = block(x) 2025-08-14T21:56:12.8497561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 298, in forward 2025-08-14T21:56:12.8497667Z return torch.cat([cls_embed, x[:, 1:]], dim=1) 2025-08-14T21:56:12.8497671Z 2025-08-14T21:56:12.8497780Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8497988Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8498122Z return mod(*inputs) 2025-08-14T21:56:12.8498316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-08-14T21:56:12.8498390Z x = self.forward_head(x) 2025-08-14T21:56:12.8498606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 816, in forward_head 2025-08-14T21:56:12.8498684Z aux = self.aux_head(x[:, 1:]) 2025-08-14T21:56:12.8498688Z 2025-08-14T21:56:12.8498799Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8499002Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8499071Z return mod(*inputs) 2025-08-14T21:56:12.8499271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-08-14T21:56:12.8499347Z x = self.forward_head(x) 2025-08-14T21:56:12.8499556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 816, in forward_head 2025-08-14T21:56:12.8499670Z aux = self.aux_head(x[:, 1:]) 2025-08-14T21:56:12.8499674Z 2025-08-14T21:56:12.8499783Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8500001Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8500072Z return mod(*inputs) 2025-08-14T21:56:12.8500270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-08-14T21:56:12.8500353Z x = self.forward_head(x) 2025-08-14T21:56:12.8500568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 817, in forward_head 2025-08-14T21:56:12.8500655Z out = out + 0.5 * aux.max(1)[0] 2025-08-14T21:56:12.8500659Z 2025-08-14T21:56:12.8500771Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8500981Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8501059Z return mod(*inputs) 2025-08-14T21:56:12.8501266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-08-14T21:56:12.8501339Z x = self.forward_head(x) 2025-08-14T21:56:12.8501554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 813, in forward_head 2025-08-14T21:56:12.8501654Z out = self.head(out) 2025-08-14T21:56:12.8501659Z 2025-08-14T21:56:12.8501773Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:56:12.8501976Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:56:12.8502044Z return mod(*inputs) 2025-08-14T21:56:12.8502268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-08-14T21:56:12.8502342Z x = self.forward_head(x) 2025-08-14T21:56:12.8502554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 817, in forward_head 2025-08-14T21:56:12.8502642Z out = out + 0.5 * aux.max(1)[0] 2025-08-14T21:56:12.8502646Z 2025-08-14T21:56:25.2936755Z Compilation time (from dynamo_timed): 23.233593405 2025-08-14T21:56:25.2937096Z pass 2025-08-14T21:56:25.2938486Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:56:25.2944273Z TIMING: _recursive_pre_grad_passes:0.00929 _recursive_joint_graph_passes:0.54262 _recursive_post_grad_passes:0.16813 async_compile.wait:0.62274 code_gen:12.1536 inductor_compile:14.93273 backend_compile:19.41026 gc:0.00053 entire_frame_compile:23.23359 total_wall_time:23.23359 2025-08-14T21:56:25.2945654Z STATS: call_* op count: 505 | FakeTensorMode.__torch_dispatch__:18742 | FakeTensor.__torch_dispatch__:7927 | ProxyTorchDispatchMode.__torch_dispatch__:6924 2025-08-14T21:56:25.2946191Z Dynamo produced 1 graphs covering 505 ops with 0 graph breaks (0 unique) 2025-08-14T21:56:30.3147255Z 2025-08-14T21:56:31.8736004Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:56:31.8736426Z 2025-08-14T21:56:32.0073705Z model.safetensors: 0% 0.00/756M [00:00> $GITHUB_ENV 2025-08-14T21:57:57.8627928Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-08-14T21:57:57.8637043Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:57:57.8637321Z env: 2025-08-14T21:57:57.8637501Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:57:57.8637817Z DOCKER_CONTAINER_ID: 6950ef67fae7c317c053ca98665215c42a78e5255691ed3d0b129799262b858c 2025-08-14T21:57:57.8638153Z ##[endgroup] 2025-08-14T21:57:57.8666227Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-08-14T21:57:58.0593235Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:57:58.8881647Z Collecting boto3==1.35.33 2025-08-14T21:57:58.9043364Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-08-14T21:57:59.1456784Z Collecting psutil==7.0.0 2025-08-14T21:57:59.1494796Z Downloading psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (277 kB) 2025-08-14T21:57:59.1743481Z Collecting pynvml==12.0.0 2025-08-14T21:57:59.1773348Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-08-14T21:58:00.0365521Z Collecting botocore<1.36.0,>=1.35.33 2025-08-14T21:58:00.0397418Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-08-14T21:58:00.1628495Z Collecting s3transfer<0.11.0,>=0.10.0 2025-08-14T21:58:00.1658083Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-08-14T21:58:00.1708645Z 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) 2025-08-14T21:58:00.2053845Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-08-14T21:58:00.2083262Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-08-14T21:58:00.2166535Z 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) 2025-08-14T21:58:00.2169653Z 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) 2025-08-14T21:58:00.3681829Z 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) 2025-08-14T21:58:00.4775468Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-08-14T21:58:00.8451974Z Attempting uninstall: nvidia-ml-py 2025-08-14T21:58:00.8452971Z Found existing installation: nvidia-ml-py 11.525.84 2025-08-14T21:58:00.8463547Z Uninstalling nvidia-ml-py-11.525.84: 2025-08-14T21:58:00.8604248Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-08-14T21:58:00.9116946Z Attempting uninstall: psutil 2025-08-14T21:58:00.9117351Z Found existing installation: psutil 5.9.8 2025-08-14T21:58:00.9166773Z Uninstalling psutil-5.9.8: 2025-08-14T21:58:00.9173524Z Successfully uninstalled psutil-5.9.8 2025-08-14T21:58:01.0584676Z 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 2025-08-14T21:58:01.1649105Z + DEVICE_NAME= 2025-08-14T21:58:01.1649348Z + DEVICE_TYPE= 2025-08-14T21:58:01.1649558Z + command -v nvidia-smi 2025-08-14T21:58:01.1649784Z + command -v rocminfo 2025-08-14T21:58:01.1649963Z + echo DEVICE_NAME= 2025-08-14T21:58:01.1650123Z + echo DEVICE_TYPE= 2025-08-14T21:58:01.1668435Z ##[group]Run set -eux 2025-08-14T21:58:01.1668642Z set -eux 2025-08-14T21:58:01.1668804Z  2025-08-14T21:58:01.1668992Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-08-14T21:58:01.1669268Z  echo "Missing github-token input" 2025-08-14T21:58:01.1669482Z  exit 1 2025-08-14T21:58:01.1669663Z fi 2025-08-14T21:58:01.1677000Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:58:01.1677263Z env: 2025-08-14T21:58:01.1677435Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:58:01.1677761Z DOCKER_CONTAINER_ID: 6950ef67fae7c317c053ca98665215c42a78e5255691ed3d0b129799262b858c 2025-08-14T21:58:01.1678102Z DEVICE_NAME: 2025-08-14T21:58:01.1678271Z DEVICE_TYPE: 2025-08-14T21:58:01.1678663Z GITHUB_TOKEN: *** 2025-08-14T21:58:01.1678831Z ##[endgroup] 2025-08-14T21:58:01.1703565Z + [[ -z *** ]] 2025-08-14T21:58:01.1733432Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-08-14T21:58:01.1733725Z with: 2025-08-14T21:58:01.1734030Z github-token: *** 2025-08-14T21:58:01.1734204Z env: 2025-08-14T21:58:01.1734361Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:58:01.1734679Z DOCKER_CONTAINER_ID: 6950ef67fae7c317c053ca98665215c42a78e5255691ed3d0b129799262b858c 2025-08-14T21:58:01.1735009Z DEVICE_NAME: 2025-08-14T21:58:01.1735175Z DEVICE_TYPE: 2025-08-14T21:58:01.1735360Z ##[endgroup] 2025-08-14T21:58:01.1745648Z ##[group]Run set -eux 2025-08-14T21:58:01.1745852Z set -eux 2025-08-14T21:58:01.1746022Z  2025-08-14T21:58:01.1746351Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-08-14T21:58:01.1751060Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:58:01.1751329Z env: 2025-08-14T21:58:01.1751506Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:58:01.1751876Z DOCKER_CONTAINER_ID: 6950ef67fae7c317c053ca98665215c42a78e5255691ed3d0b129799262b858c 2025-08-14T21:58:01.1752220Z DEVICE_NAME: 2025-08-14T21:58:01.1752393Z DEVICE_TYPE: 2025-08-14T21:58:01.1752817Z GITHUB_TOKEN: *** 2025-08-14T21:58:01.1753010Z ##[endgroup] 2025-08-14T21:58:01.1774638Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 16976338999 i-08f1d77d22745dc3c 2025-08-14T21:58:02.6168107Z setting job-id=48128301912 2025-08-14T21:58:02.6169648Z setting job-name=linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:58:02.6274004Z ##[group]Run set -eux 2025-08-14T21:58:02.6274219Z set -eux 2025-08-14T21:58:02.6274377Z  2025-08-14T21:58:02.6274645Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-08-14T21:58:02.6274983Z  --schema-version "${SCHEMA_VERSION}" \ 2025-08-14T21:58:02.6275222Z  --repo "${REPO}" \ 2025-08-14T21:58:02.6275434Z  --head-branch "${HEAD_BRANCH}" \ 2025-08-14T21:58:02.6275661Z  --head-sha "${HEAD_SHA}" \ 2025-08-14T21:58:02.6275886Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-08-14T21:58:02.6276119Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-08-14T21:58:02.6276336Z  --job-id "${JOB_ID}" \ 2025-08-14T21:58:02.6276543Z  --job-name "${JOB_NAME}" 2025-08-14T21:58:02.6281310Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:58:02.6281568Z env: 2025-08-14T21:58:02.6281738Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:58:02.6282044Z DOCKER_CONTAINER_ID: 6950ef67fae7c317c053ca98665215c42a78e5255691ed3d0b129799262b858c 2025-08-14T21:58:02.6282523Z DEVICE_NAME: 2025-08-14T21:58:02.6282693Z DEVICE_TYPE: 2025-08-14T21:58:02.6282863Z SCHEMA_VERSION: v3 2025-08-14T21:58:02.6283038Z REPO: pytorch/pytorch 2025-08-14T21:58:02.6283229Z HEAD_BRANCH: refs/heads/main 2025-08-14T21:58:02.6283451Z HEAD_SHA: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:58:02.6283678Z WORKFLOW_RUN_ID: 16976338999 2025-08-14T21:58:02.6283869Z RUN_ATTEMPT: 1 2025-08-14T21:58:02.6284039Z JOB_ID: 48128301912 2025-08-14T21:58:02.6284420Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:58:02.6284832Z ##[endgroup] 2025-08-14T21:58:02.6310053Z + 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 48128301912 --job-name 'linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_timm, 2, 2, linux.8xlarge.amx)' 2025-08-14T21:58:02.6578435Z ##[group]Run set -eux 2025-08-14T21:58:02.6578646Z set -eux 2025-08-14T21:58:02.6578813Z  2025-08-14T21:58:02.6579111Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-08-14T21:58:02.6583882Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:58:02.6584136Z env: 2025-08-14T21:58:02.6584296Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:58:02.6584607Z DOCKER_CONTAINER_ID: 6950ef67fae7c317c053ca98665215c42a78e5255691ed3d0b129799262b858c 2025-08-14T21:58:02.6584938Z DEVICE_NAME: 2025-08-14T21:58:02.6585104Z DEVICE_TYPE: 2025-08-14T21:58:02.6585258Z ##[endgroup] 2025-08-14T21:58:02.6608543Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-08-14T21:58:02.6940430Z INFO:root:Fail to import torch to get the device name 2025-08-14T21:58:02.7031317Z ##[group]Run set -eux 2025-08-14T21:58:02.7031534Z set -eux 2025-08-14T21:58:02.7031702Z  2025-08-14T21:58:02.7031890Z # TODO (huydhn): Implement this part 2025-08-14T21:58:02.7032160Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:58:02.7037175Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:58:02.7037424Z env: 2025-08-14T21:58:02.7037591Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:58:02.7037899Z DOCKER_CONTAINER_ID: 6950ef67fae7c317c053ca98665215c42a78e5255691ed3d0b129799262b858c 2025-08-14T21:58:02.7038345Z DEVICE_NAME: 2025-08-14T21:58:02.7038507Z DEVICE_TYPE: 2025-08-14T21:58:02.7038671Z ##[endgroup] 2025-08-14T21:58:02.7060310Z + echo 'dependencies={}' 2025-08-14T21:58:02.7074851Z ##[group]Run set -eux 2025-08-14T21:58:02.7075082Z set -eux 2025-08-14T21:58:02.7075249Z  2025-08-14T21:58:02.7075436Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-08-14T21:58:02.7075735Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-08-14T21:58:02.7076052Z  # We don't want the job to fail if the directory doesn't exist 2025-08-14T21:58:02.7076310Z  exit 0 2025-08-14T21:58:02.7076464Z fi 2025-08-14T21:58:02.7076618Z  2025-08-14T21:58:02.7076791Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-08-14T21:58:02.7077095Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-08-14T21:58:02.7077459Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-08-14T21:58:02.7077758Z  --metadata "${BENCHMARK_METADATA}" \ 2025-08-14T21:58:02.7078005Z  --runners "${RUNNER_INFO}" \ 2025-08-14T21:58:02.7078239Z  --dependencies "${DEPENDENCIES}" \ 2025-08-14T21:58:02.7078583Z  --dry-run 2025-08-14T21:58:02.7078760Z else 2025-08-14T21:58:02.7079009Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-08-14T21:58:02.7079359Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-08-14T21:58:02.7079631Z  --metadata "${BENCHMARK_METADATA}" \ 2025-08-14T21:58:02.7079863Z  --runners "${RUNNER_INFO}" \ 2025-08-14T21:58:02.7080089Z  --dependencies "${DEPENDENCIES}" 2025-08-14T21:58:02.7080301Z fi 2025-08-14T21:58:02.7084182Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:58:02.7084430Z env: 2025-08-14T21:58:02.7084592Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:58:02.7084909Z DOCKER_CONTAINER_ID: 6950ef67fae7c317c053ca98665215c42a78e5255691ed3d0b129799262b858c 2025-08-14T21:58:02.7085223Z DEVICE_NAME: 2025-08-14T21:58:02.7085393Z DEVICE_TYPE: 2025-08-14T21:58:02.7085584Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-08-14T21:58:02.7085799Z DRY_RUN: false 2025-08-14T21:58:02.7086710Z BENCHMARK_METADATA: {"timestamp": 1755208682, "schema_version": "v3", "name": "linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_timm, 2, 2, linux.8xlarge.amx)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "1fc683cf17c8c673044538d10266c00f92987be2", "workflow_id": 16976338999, "run_attempt": 1, "job_id": 48128301912} 2025-08-14T21:58:02.7087836Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-41-134.ec2.internal"}, "name": "", "type": ""}] 2025-08-14T21:58:02.7088232Z DEPENDENCIES: {} 2025-08-14T21:58:02.7088410Z ##[endgroup] 2025-08-14T21:58:02.7107793Z + [[ ! -d test/test-reports ]] 2025-08-14T21:58:02.7108053Z + [[ false == \t\r\u\e ]] 2025-08-14T21:58:02.7109821Z + 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": 1755208682, "schema_version": "v3", "name": "linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_timm, 2, 2, linux.8xlarge.amx)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "1fc683cf17c8c673044538d10266c00f92987be2", "workflow_id": 16976338999, "run_attempt": 1, "job_id": 48128301912}' --runners '[{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-41-134.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}' 2025-08-14T21:58:02.8313503Z INFO:root:Upload test/test-reports/inference_timm_models.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976338999/48128301912/inference_timm_models.json 2025-08-14T21:58:02.8590746Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-08-14T21:58:03.0585680Z ##[group]Run cat test/**/*_toprint.log || true 2025-08-14T21:58:03.0585996Z cat test/**/*_toprint.log || true 2025-08-14T21:58:03.0591824Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:58:03.0592094Z env: 2025-08-14T21:58:03.0592275Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:58:03.0592593Z DOCKER_CONTAINER_ID: 6950ef67fae7c317c053ca98665215c42a78e5255691ed3d0b129799262b858c 2025-08-14T21:58:03.0593173Z DEVICE_NAME: 2025-08-14T21:58:03.0593352Z DEVICE_TYPE: 2025-08-14T21:58:03.0593521Z ##[endgroup] 2025-08-14T21:58:03.0667088Z cat: 'test/**/*_toprint.log': No such file or directory 2025-08-14T21:58:03.0690433Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-08-14T21:58:03.0690694Z kill "$MONITOR_SCRIPT_PID" 2025-08-14T21:58:03.0695018Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:58:03.0695315Z env: 2025-08-14T21:58:03.0695487Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:58:03.0695801Z DOCKER_CONTAINER_ID: 6950ef67fae7c317c053ca98665215c42a78e5255691ed3d0b129799262b858c 2025-08-14T21:58:03.0696239Z DEVICE_NAME: 2025-08-14T21:58:03.0696408Z DEVICE_TYPE: 2025-08-14T21:58:03.0696800Z MONITOR_SCRIPT_PID: 48243 2025-08-14T21:58:03.0696992Z ##[endgroup] 2025-08-14T21:58:03.0794752Z Prepare all required actions 2025-08-14T21:58:03.0795278Z Getting action download info 2025-08-14T21:58:03.2370492Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-08-14T21:58:03.4511592Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-08-14T21:58:03.9042596Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-08-14T21:58:03.9042866Z with: 2025-08-14T21:58:03.9043126Z file-suffix: test-cpu_inductor_timm-2-2-linux.8xlarge.amx_48128301912 2025-08-14T21:58:03.9043438Z s3-bucket: gha-artifacts 2025-08-14T21:58:03.9043640Z env: 2025-08-14T21:58:03.9043800Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:58:03.9044127Z DOCKER_CONTAINER_ID: 6950ef67fae7c317c053ca98665215c42a78e5255691ed3d0b129799262b858c 2025-08-14T21:58:03.9044485Z DEVICE_NAME: 2025-08-14T21:58:03.9044660Z DEVICE_TYPE: 2025-08-14T21:58:03.9044827Z ##[endgroup] 2025-08-14T21:58:03.9062025Z ##[group]Run # Remove any previous test jsons if they exist 2025-08-14T21:58:03.9062357Z # Remove any previous test jsons if they exist 2025-08-14T21:58:03.9062614Z rm -f test-jsons-*.zip 2025-08-14T21:58:03.9062922Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-08-14T21:58:03.9068490Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:58:03.9068743Z env: 2025-08-14T21:58:03.9068918Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:58:03.9069235Z DOCKER_CONTAINER_ID: 6950ef67fae7c317c053ca98665215c42a78e5255691ed3d0b129799262b858c 2025-08-14T21:58:03.9069562Z DEVICE_NAME: 2025-08-14T21:58:03.9069735Z DEVICE_TYPE: 2025-08-14T21:58:03.9069991Z FILE_SUFFIX: test-cpu_inductor_timm-2-2-linux.8xlarge.amx_48128301912 2025-08-14T21:58:03.9070276Z ##[endgroup] 2025-08-14T21:58:03.9261521Z adding: test/test-reports/inference_timm_models.json (deflated 99%) 2025-08-14T21:58:03.9283174Z ##[group]Run # Remove any previous test reports if they exist 2025-08-14T21:58:03.9283527Z # Remove any previous test reports if they exist 2025-08-14T21:58:03.9283801Z rm -f test-reports-*.zip 2025-08-14T21:58:03.9284127Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-08-14T21:58:03.9288775Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:58:03.9289026Z env: 2025-08-14T21:58:03.9289195Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:58:03.9289502Z DOCKER_CONTAINER_ID: 6950ef67fae7c317c053ca98665215c42a78e5255691ed3d0b129799262b858c 2025-08-14T21:58:03.9289829Z DEVICE_NAME: 2025-08-14T21:58:03.9290001Z DEVICE_TYPE: 2025-08-14T21:58:03.9290251Z FILE_SUFFIX: test-cpu_inductor_timm-2-2-linux.8xlarge.amx_48128301912 2025-08-14T21:58:03.9290539Z ##[endgroup] 2025-08-14T21:58:03.9339121Z adding: test/test-reports/inference_timm_models.csv (deflated 62%) 2025-08-14T21:58:03.9357349Z ##[group]Run # Remove any previous usage logs if they exist 2025-08-14T21:58:03.9357701Z # Remove any previous usage logs if they exist 2025-08-14T21:58:03.9357957Z rm -f logs-*.zip 2025-08-14T21:58:03.9358424Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-08-14T21:58:03.9358789Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-08-14T21:58:03.9363398Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:58:03.9363661Z env: 2025-08-14T21:58:03.9363831Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:58:03.9364144Z DOCKER_CONTAINER_ID: 6950ef67fae7c317c053ca98665215c42a78e5255691ed3d0b129799262b858c 2025-08-14T21:58:03.9364484Z DEVICE_NAME: 2025-08-14T21:58:03.9364650Z DEVICE_TYPE: 2025-08-14T21:58:03.9364896Z FILE_SUFFIX: test-cpu_inductor_timm-2-2-linux.8xlarge.amx_48128301912 2025-08-14T21:58:03.9365268Z ##[endgroup] 2025-08-14T21:58:03.9429024Z adding: usage_log.txt (deflated 96%) 2025-08-14T21:58:03.9440828Z 2025-08-14T21:58:03.9441751Z zip error: Nothing to do! (logs-test-cpu_inductor_timm-2-2-linux.8xlarge.amx_48128301912.zip) 2025-08-14T21:58:03.9461856Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-08-14T21:58:03.9462227Z # Remove any previous debugging artifacts if they exist 2025-08-14T21:58:03.9462504Z rm -f debug-*.zip 2025-08-14T21:58:03.9462705Z if [ -d 'test/debug' ]; then 2025-08-14T21:58:03.9462957Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-08-14T21:58:03.9463190Z fi 2025-08-14T21:58:03.9467543Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:58:03.9467799Z env: 2025-08-14T21:58:03.9467971Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:58:03.9468290Z DOCKER_CONTAINER_ID: 6950ef67fae7c317c053ca98665215c42a78e5255691ed3d0b129799262b858c 2025-08-14T21:58:03.9468621Z DEVICE_NAME: 2025-08-14T21:58:03.9468806Z DEVICE_TYPE: 2025-08-14T21:58:03.9469059Z FILE_SUFFIX: test-cpu_inductor_timm-2-2-linux.8xlarge.amx_48128301912 2025-08-14T21:58:03.9469341Z ##[endgroup] 2025-08-14T21:58:03.9566005Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T21:58:03.9566270Z with: 2025-08-14T21:58:03.9566449Z s3-bucket: gha-artifacts 2025-08-14T21:58:03.9566693Z s3-prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T21:58:03.9566934Z retention-days: 14 2025-08-14T21:58:03.9567125Z if-no-files-found: warn 2025-08-14T21:58:03.9567330Z path: test-jsons-*.zip 2025-08-14T21:58:03.9567513Z name: artifact 2025-08-14T21:58:03.9567687Z region: us-east-1 2025-08-14T21:58:03.9567861Z env: 2025-08-14T21:58:03.9568019Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:58:03.9568336Z DOCKER_CONTAINER_ID: 6950ef67fae7c317c053ca98665215c42a78e5255691ed3d0b129799262b858c 2025-08-14T21:58:03.9568667Z DEVICE_NAME: 2025-08-14T21:58:03.9568832Z DEVICE_TYPE: 2025-08-14T21:58:03.9569013Z ##[endgroup] 2025-08-14T21:58:04.2471659Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-14T21:58:04.2472043Z With the provided path, there will be 1 file uploaded 2025-08-14T21:58:04.2472401Z Uploading to s3 prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T21:58:04.2507843Z Starting upload of test-jsons-test-cpu_inductor_timm-2-2-linux.8xlarge.amx_48128301912.zip 2025-08-14T21:58:04.3815784Z Finished upload of test-jsons-test-cpu_inductor_timm-2-2-linux.8xlarge.amx_48128301912.zip 2025-08-14T21:58:04.3975247Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T21:58:04.3975492Z with: 2025-08-14T21:58:04.3975671Z s3-bucket: gha-artifacts 2025-08-14T21:58:04.3975910Z s3-prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T21:58:04.3976147Z retention-days: 14 2025-08-14T21:58:04.3976336Z if-no-files-found: error 2025-08-14T21:58:04.3976539Z path: test-reports-*.zip 2025-08-14T21:58:04.3976723Z name: artifact 2025-08-14T21:58:04.3976898Z region: us-east-1 2025-08-14T21:58:04.3977090Z env: 2025-08-14T21:58:04.3977248Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:58:04.3977576Z DOCKER_CONTAINER_ID: 6950ef67fae7c317c053ca98665215c42a78e5255691ed3d0b129799262b858c 2025-08-14T21:58:04.3977909Z DEVICE_NAME: 2025-08-14T21:58:04.3978078Z DEVICE_TYPE: 2025-08-14T21:58:04.3978239Z ##[endgroup] 2025-08-14T21:58:04.6647752Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-14T21:58:04.6648111Z With the provided path, there will be 1 file uploaded 2025-08-14T21:58:04.6648421Z Uploading to s3 prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T21:58:04.6682918Z Starting upload of test-reports-test-cpu_inductor_timm-2-2-linux.8xlarge.amx_48128301912.zip 2025-08-14T21:58:04.7825535Z Finished upload of test-reports-test-cpu_inductor_timm-2-2-linux.8xlarge.amx_48128301912.zip 2025-08-14T21:58:04.7975753Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T21:58:04.7975995Z with: 2025-08-14T21:58:04.7976176Z s3-bucket: gha-artifacts 2025-08-14T21:58:04.7976415Z s3-prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T21:58:04.7976768Z retention-days: 14 2025-08-14T21:58:04.7976959Z if-no-files-found: ignore 2025-08-14T21:58:04.7977282Z path: logs-*.zip 2025-08-14T21:58:04.7977450Z name: artifact 2025-08-14T21:58:04.7977621Z region: us-east-1 2025-08-14T21:58:04.7977791Z env: 2025-08-14T21:58:04.7977947Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:58:04.7978268Z DOCKER_CONTAINER_ID: 6950ef67fae7c317c053ca98665215c42a78e5255691ed3d0b129799262b858c 2025-08-14T21:58:04.7978597Z DEVICE_NAME: 2025-08-14T21:58:04.7978770Z DEVICE_TYPE: 2025-08-14T21:58:04.7978932Z ##[endgroup] 2025-08-14T21:58:05.0652863Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-14T21:58:05.0655151Z With the provided path, there will be 1 file uploaded 2025-08-14T21:58:05.0655470Z Uploading to s3 prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T21:58:05.0689557Z Starting upload of logs-test-cpu_inductor_timm-2-2-linux.8xlarge.amx_48128301912.zip 2025-08-14T21:58:05.1753159Z Finished upload of logs-test-cpu_inductor_timm-2-2-linux.8xlarge.amx_48128301912.zip 2025-08-14T21:58:05.1898448Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T21:58:05.1898715Z with: 2025-08-14T21:58:05.1898897Z s3-bucket: gha-artifacts 2025-08-14T21:58:05.1899135Z s3-prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T21:58:05.1899374Z retention-days: 14 2025-08-14T21:58:05.1899563Z if-no-files-found: ignore 2025-08-14T21:58:05.1899762Z path: debug-*.zip 2025-08-14T21:58:05.1899927Z name: artifact 2025-08-14T21:58:05.1900097Z region: us-east-1 2025-08-14T21:58:05.1900262Z env: 2025-08-14T21:58:05.1900416Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:58:05.1900730Z DOCKER_CONTAINER_ID: 6950ef67fae7c317c053ca98665215c42a78e5255691ed3d0b129799262b858c 2025-08-14T21:58:05.1901059Z DEVICE_NAME: 2025-08-14T21:58:05.1901228Z DEVICE_TYPE: 2025-08-14T21:58:05.1901386Z ##[endgroup] 2025-08-14T21:58:05.4451739Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-08-14T21:58:05.4613584Z ##[group]Run # shellcheck disable=SC2156 2025-08-14T21:58:05.4613841Z # shellcheck disable=SC2156 2025-08-14T21:58:05.4614197Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-08-14T21:58:05.4619000Z shell: /usr/bin/bash -e {0} 2025-08-14T21:58:05.4619202Z env: 2025-08-14T21:58:05.4619364Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:58:05.4619678Z DOCKER_CONTAINER_ID: 6950ef67fae7c317c053ca98665215c42a78e5255691ed3d0b129799262b858c 2025-08-14T21:58:05.4620003Z DEVICE_NAME: 2025-08-14T21:58:05.4620172Z DEVICE_TYPE: 2025-08-14T21:58:05.4620326Z ##[endgroup] 2025-08-14T21:58:05.6534680Z Prepare all required actions 2025-08-14T21:58:05.6535023Z Getting action download info 2025-08-14T21:58:05.7678651Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-08-14T21:58:05.7678958Z with: 2025-08-14T21:58:05.7679154Z job_id: 48128301912 2025-08-14T21:58:05.7679642Z job_name: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:58:05.7680141Z workflow_name: inductor-periodic 2025-08-14T21:58:05.7680402Z workflow_run_id: 16976338999 2025-08-14T21:58:05.7680634Z workflow_attempt: 1 2025-08-14T21:58:05.7680831Z env: 2025-08-14T21:58:05.7681028Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:58:05.7681394Z DOCKER_CONTAINER_ID: 6950ef67fae7c317c053ca98665215c42a78e5255691ed3d0b129799262b858c 2025-08-14T21:58:05.7681778Z DEVICE_NAME: 2025-08-14T21:58:05.7681970Z DEVICE_TYPE: 2025-08-14T21:58:05.7682167Z ##[endgroup] 2025-08-14T21:58:05.7694157Z ##[group]Run echo "workflow_id: 16976338999" 2025-08-14T21:58:05.7694446Z echo "workflow_id: 16976338999" 2025-08-14T21:58:05.7694684Z echo "workflow_attempt: 1" 2025-08-14T21:58:05.7694925Z echo "workflow_Name: inductor-periodic" 2025-08-14T21:58:05.7695171Z echo "job_id: 48128301912" 2025-08-14T21:58:05.7695713Z echo "job_name: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_timm, 2, 2, linux.8xlarge.amx)" 2025-08-14T21:58:05.7696158Z echo "artifact_prefix: " 2025-08-14T21:58:05.7696383Z python3 --version 2025-08-14T21:58:05.7701406Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:58:05.7701670Z env: 2025-08-14T21:58:05.7701834Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:58:05.7702154Z DOCKER_CONTAINER_ID: 6950ef67fae7c317c053ca98665215c42a78e5255691ed3d0b129799262b858c 2025-08-14T21:58:05.7702486Z DEVICE_NAME: 2025-08-14T21:58:05.7702648Z DEVICE_TYPE: 2025-08-14T21:58:05.7702817Z ##[endgroup] 2025-08-14T21:58:05.7726113Z workflow_id: 16976338999 2025-08-14T21:58:05.7726931Z workflow_attempt: 1 2025-08-14T21:58:05.7727202Z workflow_Name: inductor-periodic 2025-08-14T21:58:05.7727435Z job_id: 48128301912 2025-08-14T21:58:05.7727844Z job_name: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_timm, 2, 2, linux.8xlarge.amx) 2025-08-14T21:58:05.7728321Z artifact_prefix: 2025-08-14T21:58:05.7737511Z Python 3.9.23 2025-08-14T21:58:05.7767355Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-14T21:58:05.7767583Z with: 2025-08-14T21:58:05.7767773Z shell: bash 2025-08-14T21:58:05.7767942Z timeout_minutes: 5 2025-08-14T21:58:05.7768115Z max_attempts: 5 2025-08-14T21:58:05.7768291Z retry_wait_seconds: 30 2025-08-14T21:58:05.7768670Z 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 2025-08-14T21:58:05.7769106Z polling_interval_seconds: 1 2025-08-14T21:58:05.7769316Z warning_on_retry: true 2025-08-14T21:58:05.7769517Z continue_on_error: false 2025-08-14T21:58:05.7769713Z env: 2025-08-14T21:58:05.7769866Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:58:05.7770182Z DOCKER_CONTAINER_ID: 6950ef67fae7c317c053ca98665215c42a78e5255691ed3d0b129799262b858c 2025-08-14T21:58:05.7770512Z DEVICE_NAME: 2025-08-14T21:58:05.7770677Z DEVICE_TYPE: 2025-08-14T21:58:05.7770851Z ##[endgroup] 2025-08-14T21:58:06.0521067Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:58:06.1134661Z Collecting python-dateutil==2.8.2 2025-08-14T21:58:06.1287195Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-08-14T21:58:06.8599310Z Collecting boto3==1.35.42 2025-08-14T21:58:06.8632530Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-08-14T21:58:07.2533444Z Collecting pandas==2.1.3 2025-08-14T21:58:07.2563162Z Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB) 2025-08-14T21:58:07.3830148Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7) 2025-08-14T21:58:07.3836063Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0) 2025-08-14T21:58:07.3874020Z 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) 2025-08-14T21:58:07.3877847Z 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) 2025-08-14T21:58:07.3881241Z 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) 2025-08-14T21:58:07.4608593Z Collecting tzdata>=2022.1 2025-08-14T21:58:07.4642958Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-08-14T21:58:07.4730795Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1) 2025-08-14T21:58:08.0986946Z Collecting numpy<2,>=1.22.4 2025-08-14T21:58:08.1019062Z Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) 2025-08-14T21:58:08.2325665Z 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) 2025-08-14T21:58:08.2328945Z 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) 2025-08-14T21:58:08.2376979Z 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) 2025-08-14T21:58:08.2460676Z 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) 2025-08-14T21:58:08.2545522Z 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) 2025-08-14T21:58:08.2546441Z 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) 2025-08-14T21:58:08.3800836Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3 2025-08-14T21:58:12.6652976Z Attempting uninstall: boto3 2025-08-14T21:58:12.6653410Z Found existing installation: boto3 1.35.33 2025-08-14T21:58:12.6724217Z Uninstalling boto3-1.35.33: 2025-08-14T21:58:12.6730931Z Successfully uninstalled boto3-1.35.33 2025-08-14T21:58:12.7198081Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2 2025-08-14T21:58:12.8483649Z Command completed after 1 attempt(s). 2025-08-14T21:58:12.8528978Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-08-14T21:58:12.8529453Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-08-14T21:58:12.8529778Z  --workflow-run-id "16976338999" \ 2025-08-14T21:58:12.8530031Z  --workflow-name "inductor-periodic" \ 2025-08-14T21:58:12.8530282Z  --workflow-run-attempt "1" \ 2025-08-14T21:58:12.8530506Z  --job-id "48128301912" \ 2025-08-14T21:58:12.8530950Z  --job-name "linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_timm, 2, 2, linux.8xlarge.amx)" \ 2025-08-14T21:58:12.8531388Z  --local-path "" \ 2025-08-14T21:58:12.8531597Z  --artifact-prefix "" 2025-08-14T21:58:12.8536817Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:58:12.8537068Z env: 2025-08-14T21:58:12.8537234Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:58:12.8537534Z DOCKER_CONTAINER_ID: 6950ef67fae7c317c053ca98665215c42a78e5255691ed3d0b129799262b858c 2025-08-14T21:58:12.8537853Z DEVICE_NAME: 2025-08-14T21:58:12.8538018Z DEVICE_TYPE: 2025-08-14T21:58:12.8538327Z ##[endgroup] 2025-08-14T21:58:13.7526474Z repo: pytorch/pytorch 2025-08-14T21:58:13.7531278Z Search for test log in s3 bucket: ossci-utilization 2025-08-14T21:58:13.7536261Z Downloading logs-test-cpu_inductor_timm-2-2-linux.8xlarge.amx_48128301912.zip 2025-08-14T21:58:13.7539606Z extracting usage_log.txt from zip file logs-test-cpu_inductor_timm-2-2-linux.8xlarge.amx_48128301912.zip 2025-08-14T21:58:13.7540078Z Converted Log Model: UtilizationMetadata: 2025-08-14T21:58:13.7541052Z UtilizationMetadata(level='metadata', workflow_id='16976338999', job_id='48128301912', workflow_name='inductor-periodic', job_name='linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_timm, 2, 2, linux.8xlarge.amx)', usage_collect_interval=1.0, data_model_version=1.5, start_at=1755207362, gpu_count=0, cpu_count=32, gpu_type=None, error=None) 2025-08-14T21:58:13.7542061Z [Db Segments] detected pytest cmd: 11, generated segments: 11 2025-08-14T21:58:13.7542357Z [db model] Peek db timeseries 2025-08-14T21:58:13.7542575Z :{ 2025-08-14T21:58:13.7542731Z "created_at": 1755208693, 2025-08-14T21:58:13.7542923Z "type": "utilization", 2025-08-14T21:58:13.7543097Z "tags": [ 2025-08-14T21:58:13.7543252Z "record" 2025-08-14T21:58:13.7543410Z ], 2025-08-14T21:58:13.7543558Z "time_stamp": 1755207362, 2025-08-14T21:58:13.7544183Z "repo": "pytorch/pytorch", 2025-08-14T21:58:13.7544389Z "workflow_id": 16976338999, 2025-08-14T21:58:13.7544587Z "run_attempt": 1, 2025-08-14T21:58:13.7544761Z "job_id": 48128301912, 2025-08-14T21:58:13.7544967Z "workflow_name": "inductor-periodic", 2025-08-14T21:58:13.7545402Z "job_name": "linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_timm, 2, 2, linux.8xlarge.amx)", 2025-08-14T21:58:13.7545802Z "json_data": "{}" 2025-08-14T21:58:13.7545972Z } 2025-08-14T21:58:13.7546301Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/16976338999/1/48128301912/metadata 2025-08-14T21:58:13.7546878Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/16976338999/1/48128301912/metadata 2025-08-14T21:58:13.7547442Z Writing 264 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/16976338999/1/48128301912/time_series 2025-08-14T21:58:13.7548025Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/16976338999/1/48128301912/time_series 2025-08-14T21:58:13.8506457Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-08-14T21:58:13.8506765Z with: 2025-08-14T21:58:13.8506930Z env: 2025-08-14T21:58:13.8507094Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:58:13.8507424Z DOCKER_CONTAINER_ID: 6950ef67fae7c317c053ca98665215c42a78e5255691ed3d0b129799262b858c 2025-08-14T21:58:13.8507760Z DEVICE_NAME: 2025-08-14T21:58:13.8507929Z DEVICE_TYPE: 2025-08-14T21:58:13.8508100Z ##[endgroup] 2025-08-14T21:58:13.8519745Z ##[group]Run set -eou pipefail 2025-08-14T21:58:13.8519999Z set -eou pipefail 2025-08-14T21:58:13.8520202Z  2025-08-14T21:58:13.8520468Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-08-14T21:58:13.8520795Z for _ in $(seq 1440); do 2025-08-14T21:58:13.8521044Z  # Break if no ssh session exists anymore 2025-08-14T21:58:13.8521314Z  if [ "$(who)" = "" ]; then 2025-08-14T21:58:13.8521522Z  break 2025-08-14T21:58:13.8521742Z  fi 2025-08-14T21:58:13.8521916Z  echo "." 2025-08-14T21:58:13.8522103Z  sleep 5 2025-08-14T21:58:13.8522281Z done 2025-08-14T21:58:13.8527738Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:58:13.8528001Z env: 2025-08-14T21:58:13.8528170Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:58:13.8528489Z DOCKER_CONTAINER_ID: 6950ef67fae7c317c053ca98665215c42a78e5255691ed3d0b129799262b858c 2025-08-14T21:58:13.8528821Z DEVICE_NAME: 2025-08-14T21:58:13.8528994Z DEVICE_TYPE: 2025-08-14T21:58:13.8529170Z ##[endgroup] 2025-08-14T21:58:13.8550459Z Holding runner for 2 hours until all ssh sessions have logged out 2025-08-14T21:58:13.8627931Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:58:13.8628342Z # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:58:13.8628640Z # shellcheck disable=SC2046 2025-08-14T21:58:13.8628914Z docker stop $(docker ps -q) || true 2025-08-14T21:58:13.8629153Z # Prune all of the docker images 2025-08-14T21:58:13.8629385Z docker system prune -af 2025-08-14T21:58:13.8633933Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:58:13.8634212Z env: 2025-08-14T21:58:13.8634375Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:58:13.8634690Z DOCKER_CONTAINER_ID: 6950ef67fae7c317c053ca98665215c42a78e5255691ed3d0b129799262b858c 2025-08-14T21:58:13.8635029Z DEVICE_NAME: 2025-08-14T21:58:13.8635203Z DEVICE_TYPE: 2025-08-14T21:58:13.8635372Z ##[endgroup] 2025-08-14T21:58:24.7190317Z 6950ef67fae7 2025-08-14T21:58:25.2483684Z Deleted Containers: 2025-08-14T21:58:25.2484074Z 6950ef67fae7c317c053ca98665215c42a78e5255691ed3d0b129799262b858c 2025-08-14T21:58:25.2484337Z 2025-08-14T21:58:32.6774448Z Deleted Images: 2025-08-14T21:58:32.6775352Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:58:32.6776735Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:4236794baba289041d240d08fd393bbd57497c3012e5e0ccd9fd98f61ebf35c6 2025-08-14T21:58:32.6777296Z deleted: sha256:0899ae453036ee7a91795ea95b1db61000579eeb74b140edab5976919ee64bbe 2025-08-14T21:58:32.6777710Z deleted: sha256:aa7b544271e9ba3105dabd1afb12e315887018f3471e03135c1d50e64cc550c4 2025-08-14T21:58:32.6778129Z deleted: sha256:4c685831817cc2fc6dfdfda1726df1f402222d8cdccc40daad3198cf8b17e3f4 2025-08-14T21:58:32.6778552Z deleted: sha256:cedf3fb09a62e68c6d7e22cedbce12e77166a50649d0269200ee0efce8a57b88 2025-08-14T21:58:32.6778963Z deleted: sha256:1b3a9a237b4153f8f523a85cead9d36e29717eb57182e2f75069788681627d95 2025-08-14T21:58:32.6779379Z deleted: sha256:67bd313103dfbe7fe0172e6f4f7ee420fad9743a64a1cc1cd20bc22250d3602c 2025-08-14T21:58:32.6779792Z deleted: sha256:b17820137ada46a2a726c67aa08cce73d2ead7c95db08575cf5e69bedb4b600d 2025-08-14T21:58:32.6780349Z deleted: 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2025-08-14T21:58:32.7746975Z git version 2.47.1 2025-08-14T21:58:32.7776544Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/66c76a01-0a69-4fea-998c-b916d422ec87/.gitconfig' 2025-08-14T21:58:32.7786337Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/66c76a01-0a69-4fea-998c-b916d422ec87' before making global git config changes 2025-08-14T21:58:32.7786954Z Adding repository directory to the temporary git global config as a safe directory 2025-08-14T21:58:32.7790850Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:58:32.7829408Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-08-14T21:58:32.7863996Z [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' || :" 2025-08-14T21:58:32.8180574Z Entering 'android/libs/fbjni' 2025-08-14T21:58:32.8237013Z Entering 'third_party/FP16' 2025-08-14T21:58:32.8288975Z Entering 'third_party/FXdiv' 2025-08-14T21:58:32.8347211Z Entering 'third_party/NNPACK' 2025-08-14T21:58:32.8401781Z Entering 'third_party/NVTX' 2025-08-14T21:58:32.8454947Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T21:58:32.8510143Z Entering 'third_party/XNNPACK' 2025-08-14T21:58:32.8575695Z Entering 'third_party/aiter' 2025-08-14T21:58:32.8632056Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:58:32.8695447Z Entering 'third_party/benchmark' 2025-08-14T21:58:32.8751715Z Entering 'third_party/composable_kernel' 2025-08-14T21:58:32.8811705Z Entering 'third_party/cpp-httplib' 2025-08-14T21:58:32.8872814Z Entering 'third_party/cpuinfo' 2025-08-14T21:58:32.8926724Z Entering 'third_party/cudnn_frontend' 2025-08-14T21:58:32.8978332Z Entering 'third_party/cutlass' 2025-08-14T21:58:32.9048623Z Entering 'third_party/fbgemm' 2025-08-14T21:58:32.9099701Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T21:58:32.9160497Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:58:32.9220562Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:58:32.9272164Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T21:58:32.9334124Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T21:58:32.9385022Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:58:32.9446522Z Entering 'third_party/fbgemm/external/json' 2025-08-14T21:58:32.9501179Z Entering 'third_party/flash-attention' 2025-08-14T21:58:32.9558647Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:58:32.9617720Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:58:32.9683098Z Entering 'third_party/flatbuffers' 2025-08-14T21:58:32.9741607Z Entering 'third_party/fmt' 2025-08-14T21:58:32.9798451Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:58:32.9852258Z Entering 'third_party/gloo' 2025-08-14T21:58:32.9908205Z Entering 'third_party/googletest' 2025-08-14T21:58:32.9962803Z Entering 'third_party/ideep' 2025-08-14T21:58:33.0022707Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T21:58:33.0079816Z Entering 'third_party/ittapi' 2025-08-14T21:58:33.0134850Z Entering 'third_party/kineto' 2025-08-14T21:58:33.0188330Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:58:33.0244466Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:58:33.0297324Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:58:33.0349528Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:58:33.0408417Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:58:33.0460766Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:58:33.0519129Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:58:33.0573468Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:58:33.0628496Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:58:33.0683247Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:58:33.0738889Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:58:33.0795419Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:58:33.0852495Z Entering 'third_party/kleidiai' 2025-08-14T21:58:33.0909233Z Entering 'third_party/mimalloc' 2025-08-14T21:58:33.0965629Z Entering 'third_party/nlohmann' 2025-08-14T21:58:33.1023340Z Entering 'third_party/onnx' 2025-08-14T21:58:33.1094963Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T21:58:33.1156153Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T21:58:33.1213286Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:58:33.1269328Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:58:33.1327442Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:58:33.1376062Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:58:33.1431393Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:58:33.1482643Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:58:33.1539245Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:58:33.1588853Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:58:33.1645640Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:58:33.1699886Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:58:33.1773714Z Entering 'third_party/pocketfft' 2025-08-14T21:58:33.1830200Z Entering 'third_party/protobuf' 2025-08-14T21:58:33.1884773Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:58:33.1940786Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T21:58:33.1997235Z Entering 'third_party/psimd' 2025-08-14T21:58:33.2050657Z Entering 'third_party/pthreadpool' 2025-08-14T21:58:33.2105642Z Entering 'third_party/pybind11' 2025-08-14T21:58:33.2159285Z Entering 'third_party/python-peachpy' 2025-08-14T21:58:33.2218047Z Entering 'third_party/sleef' 2025-08-14T21:58:33.2272377Z Entering 'third_party/tensorpipe' 2025-08-14T21:58:33.2325572Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:58:33.2376675Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:58:33.2429566Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:58:33.2482296Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:58:33.2535465Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:58:33.2620535Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-08-14T21:58:33.2642096Z http.https://github.com/.extraheader 2025-08-14T21:58:33.2651416Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-08-14T21:58:33.2676992Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-08-14T21:58:33.2991939Z Entering 'android/libs/fbjni' 2025-08-14T21:58:33.3026455Z http.https://github.com/.extraheader 2025-08-14T21:58:33.3063012Z Entering 'third_party/FP16' 2025-08-14T21:58:33.3102599Z http.https://github.com/.extraheader 2025-08-14T21:58:33.3140566Z Entering 'third_party/FXdiv' 2025-08-14T21:58:33.3176560Z http.https://github.com/.extraheader 2025-08-14T21:58:33.3210282Z Entering 'third_party/NNPACK' 2025-08-14T21:58:33.3247454Z http.https://github.com/.extraheader 2025-08-14T21:58:33.3281371Z Entering 'third_party/NVTX' 2025-08-14T21:58:33.3322165Z http.https://github.com/.extraheader 2025-08-14T21:58:33.3359218Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T21:58:33.3394023Z http.https://github.com/.extraheader 2025-08-14T21:58:33.3432185Z Entering 'third_party/XNNPACK' 2025-08-14T21:58:33.3467893Z http.https://github.com/.extraheader 2025-08-14T21:58:33.3521963Z Entering 'third_party/aiter' 2025-08-14T21:58:33.3552227Z http.https://github.com/.extraheader 2025-08-14T21:58:33.3583064Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:58:33.3627225Z http.https://github.com/.extraheader 2025-08-14T21:58:33.3665391Z Entering 'third_party/benchmark' 2025-08-14T21:58:33.3702666Z http.https://github.com/.extraheader 2025-08-14T21:58:33.3737465Z Entering 'third_party/composable_kernel' 2025-08-14T21:58:33.3772547Z http.https://github.com/.extraheader 2025-08-14T21:58:33.3816614Z Entering 'third_party/cpp-httplib' 2025-08-14T21:58:33.3852406Z http.https://github.com/.extraheader 2025-08-14T21:58:33.3886498Z Entering 'third_party/cpuinfo' 2025-08-14T21:58:33.3923900Z http.https://github.com/.extraheader 2025-08-14T21:58:33.3962158Z Entering 'third_party/cudnn_frontend' 2025-08-14T21:58:33.3994239Z http.https://github.com/.extraheader 2025-08-14T21:58:33.4030357Z Entering 'third_party/cutlass' 2025-08-14T21:58:33.4066728Z http.https://github.com/.extraheader 2025-08-14T21:58:33.4111891Z Entering 'third_party/fbgemm' 2025-08-14T21:58:33.4145801Z http.https://github.com/.extraheader 2025-08-14T21:58:33.4182147Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T21:58:33.4217938Z http.https://github.com/.extraheader 2025-08-14T21:58:33.4248069Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:58:33.4282135Z http.https://github.com/.extraheader 2025-08-14T21:58:33.4320387Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:58:33.4357670Z http.https://github.com/.extraheader 2025-08-14T21:58:33.4391634Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T21:58:33.4427063Z http.https://github.com/.extraheader 2025-08-14T21:58:33.4469073Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T21:58:33.4507346Z http.https://github.com/.extraheader 2025-08-14T21:58:33.4541290Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:58:33.4574718Z http.https://github.com/.extraheader 2025-08-14T21:58:33.4611518Z Entering 'third_party/fbgemm/external/json' 2025-08-14T21:58:33.4644687Z http.https://github.com/.extraheader 2025-08-14T21:58:33.4684943Z Entering 'third_party/flash-attention' 2025-08-14T21:58:33.4723833Z http.https://github.com/.extraheader 2025-08-14T21:58:33.4756554Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:58:33.4791183Z http.https://github.com/.extraheader 2025-08-14T21:58:33.4833271Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:58:33.4868680Z http.https://github.com/.extraheader 2025-08-14T21:58:33.4911820Z Entering 'third_party/flatbuffers' 2025-08-14T21:58:33.4946703Z http.https://github.com/.extraheader 2025-08-14T21:58:33.4984129Z Entering 'third_party/fmt' 2025-08-14T21:58:33.5019570Z http.https://github.com/.extraheader 2025-08-14T21:58:33.5060428Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:58:33.5093840Z http.https://github.com/.extraheader 2025-08-14T21:58:33.5128777Z Entering 'third_party/gloo' 2025-08-14T21:58:33.5166142Z http.https://github.com/.extraheader 2025-08-14T21:58:33.5201927Z Entering 'third_party/googletest' 2025-08-14T21:58:33.5231757Z http.https://github.com/.extraheader 2025-08-14T21:58:33.5269892Z Entering 'third_party/ideep' 2025-08-14T21:58:33.5306973Z http.https://github.com/.extraheader 2025-08-14T21:58:33.5340545Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T21:58:33.5376980Z http.https://github.com/.extraheader 2025-08-14T21:58:33.5420089Z Entering 'third_party/ittapi' 2025-08-14T21:58:33.5457658Z http.https://github.com/.extraheader 2025-08-14T21:58:33.5491684Z Entering 'third_party/kineto' 2025-08-14T21:58:33.5528666Z http.https://github.com/.extraheader 2025-08-14T21:58:33.5567379Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:58:33.5601979Z http.https://github.com/.extraheader 2025-08-14T21:58:33.5640799Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:58:33.5673130Z http.https://github.com/.extraheader 2025-08-14T21:58:33.5709245Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:58:33.5743909Z http.https://github.com/.extraheader 2025-08-14T21:58:33.5778831Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:58:33.5816279Z http.https://github.com/.extraheader 2025-08-14T21:58:33.5850617Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:58:33.5885171Z http.https://github.com/.extraheader 2025-08-14T21:58:33.5921096Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:58:33.5959536Z http.https://github.com/.extraheader 2025-08-14T21:58:33.5995962Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:58:33.6033417Z http.https://github.com/.extraheader 2025-08-14T21:58:33.6067295Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:58:33.6102979Z http.https://github.com/.extraheader 2025-08-14T21:58:33.6139680Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:58:33.6173891Z http.https://github.com/.extraheader 2025-08-14T21:58:33.6215702Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:58:33.6253136Z http.https://github.com/.extraheader 2025-08-14T21:58:33.6290369Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:58:33.6327926Z http.https://github.com/.extraheader 2025-08-14T21:58:33.6362999Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:58:33.6397228Z http.https://github.com/.extraheader 2025-08-14T21:58:33.6438535Z Entering 'third_party/kleidiai' 2025-08-14T21:58:33.6473404Z http.https://github.com/.extraheader 2025-08-14T21:58:33.6508769Z Entering 'third_party/mimalloc' 2025-08-14T21:58:33.6544004Z http.https://github.com/.extraheader 2025-08-14T21:58:33.6580319Z Entering 'third_party/nlohmann' 2025-08-14T21:58:33.6618580Z http.https://github.com/.extraheader 2025-08-14T21:58:33.6656238Z Entering 'third_party/onnx' 2025-08-14T21:58:33.6689564Z http.https://github.com/.extraheader 2025-08-14T21:58:33.6741563Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T21:58:33.6774733Z http.https://github.com/.extraheader 2025-08-14T21:58:33.6814692Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T21:58:33.6853980Z http.https://github.com/.extraheader 2025-08-14T21:58:33.6885537Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:58:33.6924776Z http.https://github.com/.extraheader 2025-08-14T21:58:33.6959576Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:58:33.6991235Z http.https://github.com/.extraheader 2025-08-14T21:58:33.7027190Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:58:33.7060822Z http.https://github.com/.extraheader 2025-08-14T21:58:33.7093360Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:58:33.7129853Z http.https://github.com/.extraheader 2025-08-14T21:58:33.7167406Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:58:33.7205542Z http.https://github.com/.extraheader 2025-08-14T21:58:33.7241856Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:58:33.7274401Z http.https://github.com/.extraheader 2025-08-14T21:58:33.7307484Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:58:33.7343726Z http.https://github.com/.extraheader 2025-08-14T21:58:33.7378285Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:58:33.7413923Z http.https://github.com/.extraheader 2025-08-14T21:58:33.7450934Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:58:33.7487183Z http.https://github.com/.extraheader 2025-08-14T21:58:33.7528878Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:58:33.7565072Z http.https://github.com/.extraheader 2025-08-14T21:58:33.7615496Z Entering 'third_party/pocketfft' 2025-08-14T21:58:33.7652422Z http.https://github.com/.extraheader 2025-08-14T21:58:33.7687234Z Entering 'third_party/protobuf' 2025-08-14T21:58:33.7726132Z http.https://github.com/.extraheader 2025-08-14T21:58:33.7762177Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:58:33.7797256Z http.https://github.com/.extraheader 2025-08-14T21:58:33.7836334Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T21:58:33.7870893Z http.https://github.com/.extraheader 2025-08-14T21:58:33.7910128Z Entering 'third_party/psimd' 2025-08-14T21:58:33.7948600Z http.https://github.com/.extraheader 2025-08-14T21:58:33.7979979Z Entering 'third_party/pthreadpool' 2025-08-14T21:58:33.8015405Z http.https://github.com/.extraheader 2025-08-14T21:58:33.8050199Z Entering 'third_party/pybind11' 2025-08-14T21:58:33.8085244Z http.https://github.com/.extraheader 2025-08-14T21:58:33.8123957Z Entering 'third_party/python-peachpy' 2025-08-14T21:58:33.8159538Z http.https://github.com/.extraheader 2025-08-14T21:58:33.8194862Z Entering 'third_party/sleef' 2025-08-14T21:58:33.8233419Z http.https://github.com/.extraheader 2025-08-14T21:58:33.8269231Z Entering 'third_party/tensorpipe' 2025-08-14T21:58:33.8303333Z http.https://github.com/.extraheader 2025-08-14T21:58:33.8338943Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:58:33.8374623Z http.https://github.com/.extraheader 2025-08-14T21:58:33.8414148Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:58:33.8451061Z http.https://github.com/.extraheader 2025-08-14T21:58:33.8482106Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:58:33.8521396Z http.https://github.com/.extraheader 2025-08-14T21:58:33.8553386Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:58:33.8590727Z http.https://github.com/.extraheader 2025-08-14T21:58:33.8624120Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:58:33.8678248Z http.https://github.com/.extraheader 2025-08-14T21:58:33.8790128Z A job completed hook has been configured by the self-hosted runner administrator 2025-08-14T21:58:33.8802547Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh' 2025-08-14T21:58:33.8805997Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:58:33.8806260Z ##[endgroup] 2025-08-14T21:58:33.8888016Z [!ALERT!] Swap in detected! [!ALERT!] 2025-08-14T21:58:43.1016154Z [!ALERT!] Swap out detected [!ALERT!] 2025-08-14T21:58:58.6329623Z Cleaning up orphan processes