2025-08-14T21:21:16.9414026Z Current runner version: '2.328.0' 2025-08-14T21:21:16.9419799Z Runner name: 'i-0d468e35f2989a8d1' 2025-08-14T21:21:16.9420552Z Runner group name: 'default' 2025-08-14T21:21:16.9421295Z Machine name: 'ip-10-0-14-35' 2025-08-14T21:21:16.9423993Z ##[group]GITHUB_TOKEN Permissions 2025-08-14T21:21:16.9426062Z Contents: read 2025-08-14T21:21:16.9426637Z Metadata: read 2025-08-14T21:21:16.9427232Z ##[endgroup] 2025-08-14T21:21:16.9429371Z Secret source: Actions 2025-08-14T21:21:16.9429988Z Prepare workflow directory 2025-08-14T21:21:17.0008561Z Prepare all required actions 2025-08-14T21:21:17.0056978Z Getting action download info 2025-08-14T21:21:17.3334115Z Download action repository 'pytorch/test-infra@main' (SHA:83f58f391e939c10dcb8cb6d745e4cefa3b98a84) 2025-08-14T21:21:19.4157317Z Download action repository 'pytorch/pytorch@main' (SHA:3be70dc30e893b552fc0f23ca06cd8f7949b6d08) 2025-08-14T21:21:34.1200469Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-08-14T21:21:34.4537541Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-08-14T21:21:34.6984527Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-08-14T21:21:34.9224371Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-08-14T21:21:35.2249261Z Getting action download info 2025-08-14T21:21:35.3338061Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-08-14T21:21:35.6713533Z Getting action download info 2025-08-14T21:21:35.7885803Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-08-14T21:21:36.0208985Z Getting action download info 2025-08-14T21:21:36.1201597Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-08-14T21:21:36.3166765Z Getting action download info 2025-08-14T21:21:36.4542270Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (1fc683cf17c8c673044538d10266c00f92987be2) 2025-08-14T21:21:36.4546050Z ##[group] Inputs 2025-08-14T21:21:36.4546384Z build-environment: linux-jammy-py3.9-gcc11-build 2025-08-14T21:21:36.4549369Z 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"}]} 2025-08-14T21:21:36.4561513Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:21:36.4562205Z sync-tag: 2025-08-14T21:21:36.4563057Z timeout-minutes: 240 2025-08-14T21:21:36.4563263Z use-gha: 2025-08-14T21:21:36.4563699Z dashboard-tag: 2025-08-14T21:21:36.4566583Z s3-bucket: gha-artifacts 2025-08-14T21:21:36.4566805Z aws-role-to-assume: 2025-08-14T21:21:36.4567769Z disable-monitor: false 2025-08-14T21:21:36.4568088Z monitor-log-interval: 5 2025-08-14T21:21:36.4568323Z monitor-data-collect-interval: 1 2025-08-14T21:21:36.4568587Z ##[endgroup] 2025-08-14T21:21:36.4569087Z Complete job name: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_freezing_avx2_timm, 2, 2, linux.10xlarge.avx2) 2025-08-14T21:21:36.5247106Z A job started hook has been configured by the self-hosted runner administrator 2025-08-14T21:21:36.5358896Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-08-14T21:21:36.5371590Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:21:36.5372173Z ##[endgroup] 2025-08-14T21:21:37.9562465Z Runner Type: linux.10xlarge.avx2 2025-08-14T21:21:37.9562943Z Instance Type: m4.10xlarge 2025-08-14T21:21:37.9563165Z AMI Name: unknown 2025-08-14T21:21:37.9600026Z AMI ID: ami-05ffe3c48a9991133 2025-08-14T21:21:43.7236985Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-08-14T21:21:43.7237349Z with: 2025-08-14T21:21:43.7238106Z github-secret: *** 2025-08-14T21:21:43.7238654Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-08-14T21:21:43.7239228Z activate-with-label: false 2025-08-14T21:21:43.7239450Z label: with-ssh 2025-08-14T21:21:43.7239644Z remove-existing-keys: true 2025-08-14T21:21:43.7239857Z fail-silently: true 2025-08-14T21:21:43.7240048Z env: 2025-08-14T21:21:43.7240215Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:21:43.7240438Z ##[endgroup] 2025-08-14T21:21:43.8911562Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-08-14T21:21:43.8912238Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-08-14T21:21:43.9295298Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-08-14T21:21:43.9295660Z with: 2025-08-14T21:21:43.9295839Z no-sudo: true 2025-08-14T21:21:43.9296034Z submodules: recursive 2025-08-14T21:21:43.9296241Z fetch-depth: 0 2025-08-14T21:21:43.9296416Z env: 2025-08-14T21:21:43.9296663Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:21:43.9299109Z ##[endgroup] 2025-08-14T21:21:43.9374889Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:21:43.9375619Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:21:43.9389196Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:21:43.9389520Z env: 2025-08-14T21:21:43.9389727Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:21:43.9389967Z ##[endgroup] 2025-08-14T21:21:43.9479766Z ##[group]Run # Use all available CPUs for fetching 2025-08-14T21:21:43.9480145Z # Use all available CPUs for fetching 2025-08-14T21:21:43.9480410Z cd "${GITHUB_WORKSPACE}" 2025-08-14T21:21:43.9480683Z git config --global fetch.parallel 0 2025-08-14T21:21:43.9480978Z git config --global submodule.fetchJobs 0 2025-08-14T21:21:43.9481241Z  2025-08-14T21:21:43.9481516Z # Clean workspace. The default checkout action should also do this, but 2025-08-14T21:21:43.9481875Z # do it here as well just in case 2025-08-14T21:21:43.9482123Z if [[ -d .git ]]; then 2025-08-14T21:21:43.9482353Z  if [ -z "${NO_SUDO}" ]; then 2025-08-14T21:21:43.9482597Z  sudo git clean -ffdx 2025-08-14T21:21:43.9482818Z  else 2025-08-14T21:21:43.9483004Z  git clean -ffdx 2025-08-14T21:21:43.9483214Z  fi 2025-08-14T21:21:43.9483389Z fi 2025-08-14T21:21:43.9488932Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:21:43.9489419Z env: 2025-08-14T21:21:43.9489604Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:21:43.9489819Z NO_SUDO: true 2025-08-14T21:21:43.9490080Z ##[endgroup] 2025-08-14T21:21:43.9606915Z ##[group]Run actions/checkout@v4 2025-08-14T21:21:43.9607155Z with: 2025-08-14T21:21:43.9607361Z ref: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:21:43.9607624Z fetch-depth: 0 2025-08-14T21:21:43.9607814Z submodules: recursive 2025-08-14T21:21:43.9608027Z show-progress: false 2025-08-14T21:21:43.9608243Z repository: pytorch/pytorch 2025-08-14T21:21:43.9608582Z token: *** 2025-08-14T21:21:43.9608759Z ssh-strict: true 2025-08-14T21:21:43.9608947Z ssh-user: git 2025-08-14T21:21:43.9609140Z persist-credentials: true 2025-08-14T21:21:43.9609346Z clean: true 2025-08-14T21:21:43.9609542Z sparse-checkout-cone-mode: true 2025-08-14T21:21:43.9609776Z fetch-tags: false 2025-08-14T21:21:43.9609956Z lfs: false 2025-08-14T21:21:43.9610140Z set-safe-directory: true 2025-08-14T21:21:43.9610361Z env: 2025-08-14T21:21:43.9610520Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:21:43.9610717Z ##[endgroup] 2025-08-14T21:21:44.0903404Z Syncing repository: pytorch/pytorch 2025-08-14T21:21:44.0904737Z ##[group]Getting Git version info 2025-08-14T21:21:44.0905132Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-08-14T21:21:44.0905659Z [command]/usr/bin/git version 2025-08-14T21:21:44.1116843Z git version 2.47.1 2025-08-14T21:21:44.1145456Z ##[endgroup] 2025-08-14T21:21:44.1154455Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/00fcf06e-653c-4219-bb27-64617419b114/.gitconfig' 2025-08-14T21:21:44.1174698Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/00fcf06e-653c-4219-bb27-64617419b114' before making global git config changes 2025-08-14T21:21:44.1175607Z Adding repository directory to the temporary git global config as a safe directory 2025-08-14T21:21:44.1179155Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:21:44.1222921Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-08-14T21:21:44.1225454Z ##[group]Initializing the repository 2025-08-14T21:21:44.1248890Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:21:44.1317068Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-08-14T21:21:44.1317617Z hint: is subject to change. To configure the initial branch name to use in all 2025-08-14T21:21:44.1318033Z hint: of your new repositories, which will suppress this warning, call: 2025-08-14T21:21:44.1318346Z hint: 2025-08-14T21:21:44.1318589Z hint: git config --global init.defaultBranch 2025-08-14T21:21:44.1318852Z hint: 2025-08-14T21:21:44.1319114Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-08-14T21:21:44.1319550Z hint: 'development'. The just-created branch can be renamed via this command: 2025-08-14T21:21:44.1319898Z hint: 2025-08-14T21:21:44.1320071Z hint: git branch -m 2025-08-14T21:21:44.1337507Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-08-14T21:21:44.1345913Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-08-14T21:21:44.1394658Z ##[endgroup] 2025-08-14T21:21:44.1395066Z ##[group]Disabling automatic garbage collection 2025-08-14T21:21:44.1398114Z [command]/usr/bin/git config --local gc.auto 0 2025-08-14T21:21:44.1439033Z ##[endgroup] 2025-08-14T21:21:44.1439369Z ##[group]Setting up auth 2025-08-14T21:21:44.1447509Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-08-14T21:21:44.1476622Z [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' || :" 2025-08-14T21:21:44.1873377Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-08-14T21:21:44.1895528Z [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' || :" 2025-08-14T21:21:44.2236729Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-08-14T21:21:44.2288720Z ##[endgroup] 2025-08-14T21:21:44.2289091Z ##[group]Fetching the repository 2025-08-14T21:21:44.2292922Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-08-14T21:22:30.0735532Z From https://github.com/pytorch/pytorch 2025-08-14T21:22:30.0736000Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-08-14T21:22:30.0736411Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-08-14T21:22:30.0736966Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-08-14T21:22:30.0737496Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-08-14T21:22:30.0738036Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-08-14T21:22:30.0738559Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-08-14T21:22:30.0739147Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-08-14T21:22:30.0739588Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-08-14T21:22:30.0740000Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-08-14T21:22:30.0740418Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-08-14T21:22:30.0741126Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-08-14T21:22:30.0741646Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-08-14T21:22:30.0742668Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-08-14T21:22:30.0743282Z * [new branch] addVllmPin -> origin/addVllmPin 2025-08-14T21:22:30.0744174Z * [new branch] add_windows_testing_back -> origin/add_windows_testing_back 2025-08-14T21:22:30.0753994Z * [new branch] addbuildvllm -> origin/addbuildvllm 2025-08-14T21:22:30.0755621Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-08-14T21:22:30.0756516Z * [new branch] addsimde -> origin/addsimde 2025-08-14T21:22:30.0757451Z * [new branch] addvllpinnedfile -> origin/addvllpinnedfile 2025-08-14T21:22:30.0758920Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-08-14T21:22:30.0763990Z * [new branch] adi/skip_slow_tests -> origin/adi/skip_slow_tests 2025-08-14T21:22:30.0764374Z * [new branch] adi/test -> origin/adi/test 2025-08-14T21:22:30.0764731Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-08-14T21:22:30.0765123Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-08-14T21:22:30.0766025Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-08-14T21:22:30.0766964Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-08-14T21:22:30.0767899Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-08-14T21:22:30.0769132Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-08-14T21:22:30.0771526Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-08-14T21:22:30.0772405Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-08-14T21:22:30.0772859Z * [new branch] albanD-patch-1 -> origin/albanD-patch-1 2025-08-14T21:22:30.0777965Z * [new branch] alt-disable -> origin/alt-disable 2025-08-14T21:22:30.0778410Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-08-14T21:22:30.0778897Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-08-14T21:22:30.0779409Z * [new branch] angelayi/assert_tensor_metadata_device -> origin/angelayi/assert_tensor_metadata_device 2025-08-14T21:22:30.0779912Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-08-14T21:22:30.0780334Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-08-14T21:22:30.0780828Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-08-14T21:22:30.0781373Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-08-14T21:22:30.0782689Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 2025-08-14T21:22:30.0783568Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-08-14T21:22:30.0784505Z * [new branch] angelayi/del_lib -> origin/angelayi/del_lib 2025-08-14T21:22:30.0785434Z 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2025-08-14T21:22:30.7187365Z * [new branch] zxiiro/get-hardware -> origin/zxiiro/get-hardware 2025-08-14T21:22:30.7187544Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-08-14T21:22:30.7187707Z * [new branch] zxiiro/test -> origin/zxiiro/test 2025-08-14T21:22:30.7188149Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-08-14T21:22:30.7188327Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-08-14T21:22:30.7189027Z * [new tag] ciflow/binaries/138996 -> ciflow/binaries/138996 2025-08-14T21:22:30.7189704Z * [new tag] ciflow/binaries/143959 -> ciflow/binaries/143959 2025-08-14T21:22:30.7191217Z * [new tag] ciflow/binaries/154595 -> ciflow/binaries/154595 2025-08-14T21:22:30.7191425Z * [new tag] ciflow/binaries/156049 -> ciflow/binaries/156049 2025-08-14T21:22:30.7191670Z * [new tag] ciflow/binaries/156712 -> ciflow/binaries/156712 2025-08-14T21:22:30.7192303Z * [new tag] ciflow/binaries/157432 -> ciflow/binaries/157432 2025-08-14T21:22:30.7192908Z * [new tag] ciflow/binaries/157685 -> ciflow/binaries/157685 2025-08-14T21:22:30.7193466Z * [new tag] ciflow/binaries/157689 -> ciflow/binaries/157689 2025-08-14T21:22:30.7194052Z * [new tag] ciflow/binaries/158104 -> ciflow/binaries/158104 2025-08-14T21:22:30.7194721Z * [new tag] ciflow/binaries/158623 -> ciflow/binaries/158623 2025-08-14T21:22:30.7195297Z * [new tag] ciflow/binaries/159827 -> ciflow/binaries/159827 2025-08-14T21:22:30.7196251Z * [new tag] ciflow/binaries/159869 -> ciflow/binaries/159869 2025-08-14T21:22:30.7201856Z * [new tag] ciflow/binaries/160593 -> ciflow/binaries/160593 2025-08-14T21:22:30.7202655Z * [new tag] ciflow/binaries_libtorch/143959 -> ciflow/binaries_libtorch/143959 2025-08-14T21:22:30.7203260Z * [new tag] ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049 2025-08-14T21:22:30.7203954Z * [new tag] ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432 2025-08-14T21:22:30.7204549Z * [new tag] ciflow/binaries_wheel/143959 -> ciflow/binaries_wheel/143959 2025-08-14T21:22:30.7205112Z * [new tag] ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049 2025-08-14T21:22:30.7205706Z * [new tag] ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432 2025-08-14T21:22:30.7206415Z * [new tag] ciflow/binaries_wheel/158733 -> ciflow/binaries_wheel/158733 2025-08-14T21:22:30.7207049Z * [new tag] ciflow/binaries_wheel/160301 -> ciflow/binaries_wheel/160301 2025-08-14T21:22:30.7207777Z * [new tag] ciflow/binaries_wheel/160496 -> ciflow/binaries_wheel/160496 2025-08-14T21:22:30.7208679Z * [new tag] ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703 2025-08-14T21:22:30.7209364Z * [new tag] ciflow/h100-symm-mem/151845 -> ciflow/h100-symm-mem/151845 2025-08-14T21:22:30.7209935Z * [new tag] ciflow/h100-symm-mem/155923 -> ciflow/h100-symm-mem/155923 2025-08-14T21:22:30.7210525Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-08-14T21:22:30.7211195Z * [new tag] ciflow/h100-symm-mem/159118 -> ciflow/h100-symm-mem/159118 2025-08-14T21:22:30.7216048Z * [new tag] ciflow/h100-symm-mem/159562 -> ciflow/h100-symm-mem/159562 2025-08-14T21:22:30.7216206Z * [new tag] ciflow/h100-symm-mem/159889 -> ciflow/h100-symm-mem/159889 2025-08-14T21:22:30.7216347Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-08-14T21:22:30.7216541Z * [new tag] ciflow/h100/160450 -> ciflow/h100/160450 2025-08-14T21:22:30.7216685Z * [new tag] ciflow/h100/160480 -> ciflow/h100/160480 2025-08-14T21:22:30.7216811Z * [new tag] ciflow/h100/160614 -> ciflow/h100/160614 2025-08-14T21:22:30.7217116Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/151845 -> ciflow/inductor-perf-test-nightly-rocm/151845 2025-08-14T21:22:30.7217415Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/160538 -> ciflow/inductor-perf-test-nightly-rocm/160538 2025-08-14T21:22:30.7218460Z * [new tag] ciflow/inductor-perf-test-nightly-x86-zen/156599 -> ciflow/inductor-perf-test-nightly-x86-zen/156599 2025-08-14T21:22:30.7219119Z * [new tag] ciflow/inductor-periodic/160406 -> ciflow/inductor-periodic/160406 2025-08-14T21:22:30.7219692Z * [new tag] ciflow/inductor-periodic/160538 -> ciflow/inductor-periodic/160538 2025-08-14T21:22:30.7220425Z * [new tag] ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845 2025-08-14T21:22:30.7221072Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-08-14T21:22:30.7221735Z * [new tag] ciflow/inductor-rocm/160073 -> ciflow/inductor-rocm/160073 2025-08-14T21:22:30.7222292Z * [new tag] ciflow/inductor-rocm/160538 -> ciflow/inductor-rocm/160538 2025-08-14T21:22:30.7222966Z * [new tag] ciflow/inductor/134881 -> ciflow/inductor/134881 2025-08-14T21:22:30.7223583Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-08-14T21:22:30.7224155Z * [new tag] ciflow/inductor/144516 -> ciflow/inductor/144516 2025-08-14T21:22:30.7224762Z * [new tag] ciflow/inductor/146506 -> ciflow/inductor/146506 2025-08-14T21:22:30.7225332Z * [new tag] ciflow/inductor/147360 -> ciflow/inductor/147360 2025-08-14T21:22:30.7225931Z * [new tag] ciflow/inductor/147990 -> ciflow/inductor/147990 2025-08-14T21:22:30.7234866Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-08-14T21:22:30.7235048Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-08-14T21:22:30.7235240Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-08-14T21:22:30.7235413Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-08-14T21:22:30.7235554Z * [new tag] ciflow/inductor/150302 -> ciflow/inductor/150302 2025-08-14T21:22:30.7235707Z * [new tag] ciflow/inductor/151845 -> ciflow/inductor/151845 2025-08-14T21:22:30.7235846Z * [new tag] ciflow/inductor/152198 -> ciflow/inductor/152198 2025-08-14T21:22:30.7235996Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-08-14T21:22:30.7236469Z * [new tag] ciflow/inductor/153966 -> ciflow/inductor/153966 2025-08-14T21:22:30.7237093Z * [new tag] ciflow/inductor/154193 -> ciflow/inductor/154193 2025-08-14T21:22:30.7237992Z * [new tag] ciflow/inductor/154650 -> ciflow/inductor/154650 2025-08-14T21:22:30.7238638Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-08-14T21:22:30.7239200Z * [new tag] ciflow/inductor/155072 -> ciflow/inductor/155072 2025-08-14T21:22:30.7239831Z * [new tag] ciflow/inductor/155152 -> ciflow/inductor/155152 2025-08-14T21:22:30.7240500Z * [new tag] ciflow/inductor/155153 -> ciflow/inductor/155153 2025-08-14T21:22:30.7245109Z * [new tag] ciflow/inductor/155154 -> ciflow/inductor/155154 2025-08-14T21:22:30.7245298Z * [new tag] ciflow/inductor/155501 -> ciflow/inductor/155501 2025-08-14T21:22:30.7245538Z * [new tag] ciflow/inductor/155502 -> ciflow/inductor/155502 2025-08-14T21:22:30.7245719Z * [new tag] ciflow/inductor/155503 -> ciflow/inductor/155503 2025-08-14T21:22:30.7245902Z * [new tag] ciflow/inductor/155504 -> ciflow/inductor/155504 2025-08-14T21:22:30.7246078Z * [new tag] ciflow/inductor/155557 -> ciflow/inductor/155557 2025-08-14T21:22:30.7246258Z * [new tag] ciflow/inductor/155608 -> ciflow/inductor/155608 2025-08-14T21:22:30.7246428Z * [new tag] ciflow/inductor/155923 -> ciflow/inductor/155923 2025-08-14T21:22:30.7246603Z * [new tag] ciflow/inductor/155928 -> ciflow/inductor/155928 2025-08-14T21:22:30.7247160Z * [new tag] ciflow/inductor/155958 -> ciflow/inductor/155958 2025-08-14T21:22:30.7247783Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-08-14T21:22:30.7248419Z * [new tag] ciflow/inductor/156851 -> ciflow/inductor/156851 2025-08-14T21:22:30.7249045Z * [new tag] ciflow/inductor/156967 -> ciflow/inductor/156967 2025-08-14T21:22:30.7249632Z * [new tag] ciflow/inductor/157148 -> ciflow/inductor/157148 2025-08-14T21:22:30.7250245Z * [new tag] ciflow/inductor/157149 -> ciflow/inductor/157149 2025-08-14T21:22:30.7250898Z * [new tag] ciflow/inductor/157152 -> ciflow/inductor/157152 2025-08-14T21:22:30.7251546Z * [new tag] ciflow/inductor/157542 -> ciflow/inductor/157542 2025-08-14T21:22:30.7252151Z * [new tag] ciflow/inductor/157572 -> ciflow/inductor/157572 2025-08-14T21:22:30.7252725Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-08-14T21:22:30.7253654Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-08-14T21:22:30.7254387Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-08-14T21:22:30.7255087Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-08-14T21:22:30.7259969Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-08-14T21:22:30.7260586Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-08-14T21:22:30.7261242Z * [new tag] ciflow/inductor/157944 -> ciflow/inductor/157944 2025-08-14T21:22:30.7261951Z * [new tag] ciflow/inductor/157971 -> ciflow/inductor/157971 2025-08-14T21:22:30.7262664Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-08-14T21:22:30.7263315Z * [new tag] ciflow/inductor/158061 -> ciflow/inductor/158061 2025-08-14T21:22:30.7263915Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-08-14T21:22:30.7264521Z * [new tag] ciflow/inductor/158097 -> ciflow/inductor/158097 2025-08-14T21:22:30.7265131Z * [new tag] ciflow/inductor/158098 -> ciflow/inductor/158098 2025-08-14T21:22:30.7265744Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-08-14T21:22:30.7266365Z * [new tag] ciflow/inductor/158168 -> ciflow/inductor/158168 2025-08-14T21:22:30.7267255Z * [new tag] ciflow/inductor/158250 -> ciflow/inductor/158250 2025-08-14T21:22:30.7267874Z * [new tag] ciflow/inductor/158321 -> ciflow/inductor/158321 2025-08-14T21:22:30.7268944Z * [new tag] ciflow/inductor/158609 -> ciflow/inductor/158609 2025-08-14T21:22:30.7269617Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-08-14T21:22:30.7278169Z * [new tag] ciflow/inductor/158914 -> ciflow/inductor/158914 2025-08-14T21:22:30.7278448Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-08-14T21:22:30.7278645Z * [new tag] ciflow/inductor/158987 -> ciflow/inductor/158987 2025-08-14T21:22:30.7278818Z * [new tag] ciflow/inductor/159009 -> ciflow/inductor/159009 2025-08-14T21:22:30.7278998Z * [new tag] ciflow/inductor/159010 -> ciflow/inductor/159010 2025-08-14T21:22:30.7279173Z * [new tag] ciflow/inductor/159093 -> ciflow/inductor/159093 2025-08-14T21:22:30.7279348Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-08-14T21:22:30.7279528Z * [new tag] ciflow/inductor/159197 -> ciflow/inductor/159197 2025-08-14T21:22:30.7279704Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-08-14T21:22:30.7279888Z * [new tag] ciflow/inductor/159281 -> ciflow/inductor/159281 2025-08-14T21:22:30.7280072Z * [new tag] ciflow/inductor/159329 -> ciflow/inductor/159329 2025-08-14T21:22:30.7280220Z * [new tag] ciflow/inductor/159361 -> ciflow/inductor/159361 2025-08-14T21:22:30.7280373Z * [new tag] ciflow/inductor/159365 -> ciflow/inductor/159365 2025-08-14T21:22:30.7280518Z * [new tag] ciflow/inductor/159366 -> ciflow/inductor/159366 2025-08-14T21:22:30.7280659Z * [new tag] ciflow/inductor/159367 -> ciflow/inductor/159367 2025-08-14T21:22:30.7280813Z * [new tag] ciflow/inductor/159368 -> ciflow/inductor/159368 2025-08-14T21:22:30.7280956Z * [new tag] ciflow/inductor/159473 -> ciflow/inductor/159473 2025-08-14T21:22:30.7281477Z * [new tag] ciflow/inductor/159483 -> ciflow/inductor/159483 2025-08-14T21:22:30.7282112Z * [new tag] ciflow/inductor/159508 -> ciflow/inductor/159508 2025-08-14T21:22:30.7282732Z * [new tag] ciflow/inductor/159523 -> ciflow/inductor/159523 2025-08-14T21:22:30.7283401Z * [new tag] ciflow/inductor/159678 -> ciflow/inductor/159678 2025-08-14T21:22:30.7284121Z * [new tag] ciflow/inductor/159691 -> ciflow/inductor/159691 2025-08-14T21:22:30.7293463Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-08-14T21:22:30.7294058Z * [new tag] ciflow/inductor/159786 -> ciflow/inductor/159786 2025-08-14T21:22:30.7294664Z * [new tag] ciflow/inductor/159817 -> ciflow/inductor/159817 2025-08-14T21:22:30.7295325Z * [new tag] ciflow/inductor/159842 -> ciflow/inductor/159842 2025-08-14T21:22:30.7295967Z * [new tag] ciflow/inductor/159864 -> ciflow/inductor/159864 2025-08-14T21:22:30.7296589Z * [new tag] ciflow/inductor/159865 -> ciflow/inductor/159865 2025-08-14T21:22:30.7297258Z * [new tag] ciflow/inductor/159869 -> ciflow/inductor/159869 2025-08-14T21:22:30.7297872Z * [new tag] ciflow/inductor/159889 -> ciflow/inductor/159889 2025-08-14T21:22:30.7298500Z * [new tag] ciflow/inductor/159902 -> ciflow/inductor/159902 2025-08-14T21:22:30.7303210Z * [new tag] ciflow/inductor/159923 -> ciflow/inductor/159923 2025-08-14T21:22:30.7303388Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-08-14T21:22:30.7303569Z * [new tag] ciflow/inductor/160004 -> ciflow/inductor/160004 2025-08-14T21:22:30.7303732Z * [new tag] ciflow/inductor/160080 -> ciflow/inductor/160080 2025-08-14T21:22:30.7304164Z * [new tag] ciflow/inductor/160108 -> ciflow/inductor/160108 2025-08-14T21:22:30.7304797Z * [new tag] ciflow/inductor/160109 -> ciflow/inductor/160109 2025-08-14T21:22:30.7305608Z * [new tag] ciflow/inductor/160111 -> ciflow/inductor/160111 2025-08-14T21:22:30.7306307Z * [new tag] ciflow/inductor/160113 -> ciflow/inductor/160113 2025-08-14T21:22:30.7306938Z * [new tag] ciflow/inductor/160127 -> ciflow/inductor/160127 2025-08-14T21:22:30.7307585Z * [new tag] ciflow/inductor/160131 -> ciflow/inductor/160131 2025-08-14T21:22:30.7308206Z * [new tag] ciflow/inductor/160132 -> ciflow/inductor/160132 2025-08-14T21:22:30.7308869Z * [new tag] ciflow/inductor/160136 -> ciflow/inductor/160136 2025-08-14T21:22:30.7309705Z * [new tag] ciflow/inductor/160138 -> ciflow/inductor/160138 2025-08-14T21:22:30.7310253Z * [new tag] ciflow/inductor/160151 -> ciflow/inductor/160151 2025-08-14T21:22:30.7310911Z * [new tag] ciflow/inductor/160152 -> ciflow/inductor/160152 2025-08-14T21:22:30.7311539Z * [new tag] ciflow/inductor/160154 -> ciflow/inductor/160154 2025-08-14T21:22:30.7312168Z * [new tag] ciflow/inductor/160156 -> ciflow/inductor/160156 2025-08-14T21:22:30.7312883Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-08-14T21:22:30.7317523Z * [new tag] ciflow/inductor/160166 -> ciflow/inductor/160166 2025-08-14T21:22:30.7317673Z * [new tag] ciflow/inductor/160168 -> ciflow/inductor/160168 2025-08-14T21:22:30.7317813Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-08-14T21:22:30.7317962Z * [new tag] ciflow/inductor/160181 -> ciflow/inductor/160181 2025-08-14T21:22:30.7318103Z * [new tag] ciflow/inductor/160183 -> ciflow/inductor/160183 2025-08-14T21:22:30.7318247Z * [new tag] ciflow/inductor/160190 -> ciflow/inductor/160190 2025-08-14T21:22:30.7318389Z * [new tag] ciflow/inductor/160198 -> ciflow/inductor/160198 2025-08-14T21:22:30.7318747Z * [new tag] ciflow/inductor/160201 -> ciflow/inductor/160201 2025-08-14T21:22:30.7319379Z * [new tag] ciflow/inductor/160209 -> ciflow/inductor/160209 2025-08-14T21:22:30.7322202Z * [new tag] ciflow/inductor/160218 -> ciflow/inductor/160218 2025-08-14T21:22:30.7322404Z * [new tag] ciflow/inductor/160239 -> ciflow/inductor/160239 2025-08-14T21:22:30.7322587Z * [new tag] ciflow/inductor/160250 -> ciflow/inductor/160250 2025-08-14T21:22:30.7322750Z * [new tag] ciflow/inductor/160253 -> ciflow/inductor/160253 2025-08-14T21:22:30.7323092Z * [new tag] ciflow/inductor/160266 -> ciflow/inductor/160266 2025-08-14T21:22:30.7323759Z * [new tag] ciflow/inductor/160282 -> ciflow/inductor/160282 2025-08-14T21:22:30.7324380Z * [new tag] ciflow/inductor/160298 -> ciflow/inductor/160298 2025-08-14T21:22:30.7325022Z * [new tag] ciflow/inductor/160301 -> ciflow/inductor/160301 2025-08-14T21:22:30.7325731Z * [new tag] ciflow/inductor/160310 -> ciflow/inductor/160310 2025-08-14T21:22:30.7326549Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-08-14T21:22:30.7327438Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-08-14T21:22:30.7332646Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-08-14T21:22:30.7333356Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-08-14T21:22:30.7334192Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-08-14T21:22:30.7334824Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-08-14T21:22:30.7335648Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-08-14T21:22:30.7336350Z * [new tag] ciflow/inductor/160351 -> ciflow/inductor/160351 2025-08-14T21:22:30.7336904Z * [new tag] ciflow/inductor/160353 -> ciflow/inductor/160353 2025-08-14T21:22:30.7337526Z * [new tag] ciflow/inductor/160362 -> ciflow/inductor/160362 2025-08-14T21:22:30.7338153Z * [new tag] ciflow/inductor/160363 -> ciflow/inductor/160363 2025-08-14T21:22:30.7338758Z * [new tag] ciflow/inductor/160364 -> ciflow/inductor/160364 2025-08-14T21:22:30.7339407Z * [new tag] ciflow/inductor/160365 -> ciflow/inductor/160365 2025-08-14T21:22:30.7340071Z * [new tag] ciflow/inductor/160366 -> ciflow/inductor/160366 2025-08-14T21:22:30.7340722Z * [new tag] ciflow/inductor/160367 -> ciflow/inductor/160367 2025-08-14T21:22:30.7341347Z * [new tag] ciflow/inductor/160368 -> ciflow/inductor/160368 2025-08-14T21:22:30.7341976Z * [new tag] ciflow/inductor/160369 -> ciflow/inductor/160369 2025-08-14T21:22:30.7350677Z * [new tag] ciflow/inductor/160371 -> ciflow/inductor/160371 2025-08-14T21:22:30.7350888Z * [new tag] ciflow/inductor/160374 -> ciflow/inductor/160374 2025-08-14T21:22:30.7351069Z * [new tag] ciflow/inductor/160375 -> ciflow/inductor/160375 2025-08-14T21:22:30.7351258Z * [new tag] ciflow/inductor/160377 -> ciflow/inductor/160377 2025-08-14T21:22:30.7351405Z * [new tag] ciflow/inductor/160380 -> ciflow/inductor/160380 2025-08-14T21:22:30.7351546Z * [new tag] ciflow/inductor/160381 -> ciflow/inductor/160381 2025-08-14T21:22:30.7351693Z * [new tag] ciflow/inductor/160383 -> ciflow/inductor/160383 2025-08-14T21:22:30.7351831Z * [new tag] ciflow/inductor/160394 -> ciflow/inductor/160394 2025-08-14T21:22:30.7351973Z * [new tag] ciflow/inductor/160401 -> ciflow/inductor/160401 2025-08-14T21:22:30.7352125Z * [new tag] ciflow/inductor/160402 -> ciflow/inductor/160402 2025-08-14T21:22:30.7352319Z * [new tag] ciflow/inductor/160403 -> ciflow/inductor/160403 2025-08-14T21:22:30.7352464Z * [new tag] ciflow/inductor/160424 -> ciflow/inductor/160424 2025-08-14T21:22:30.7352608Z * [new tag] ciflow/inductor/160426 -> ciflow/inductor/160426 2025-08-14T21:22:30.7352751Z * [new tag] ciflow/inductor/160431 -> ciflow/inductor/160431 2025-08-14T21:22:30.7352898Z * [new tag] ciflow/inductor/160448 -> ciflow/inductor/160448 2025-08-14T21:22:30.7353144Z * [new tag] ciflow/inductor/160450 -> ciflow/inductor/160450 2025-08-14T21:22:30.7354106Z * [new tag] ciflow/inductor/160455 -> ciflow/inductor/160455 2025-08-14T21:22:30.7354990Z * [new tag] ciflow/inductor/160456 -> ciflow/inductor/160456 2025-08-14T21:22:30.7363562Z * [new tag] ciflow/inductor/160461 -> ciflow/inductor/160461 2025-08-14T21:22:30.7363766Z * [new tag] ciflow/inductor/160462 -> ciflow/inductor/160462 2025-08-14T21:22:30.7363956Z * [new tag] ciflow/inductor/160467 -> ciflow/inductor/160467 2025-08-14T21:22:30.7364137Z * [new tag] ciflow/inductor/160470 -> ciflow/inductor/160470 2025-08-14T21:22:30.7364313Z * [new tag] ciflow/inductor/160473 -> ciflow/inductor/160473 2025-08-14T21:22:30.7364469Z * [new tag] ciflow/inductor/160476 -> ciflow/inductor/160476 2025-08-14T21:22:30.7364614Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-08-14T21:22:30.7364772Z * [new tag] ciflow/inductor/160481 -> ciflow/inductor/160481 2025-08-14T21:22:30.7365113Z * [new tag] ciflow/inductor/160482 -> ciflow/inductor/160482 2025-08-14T21:22:30.7366169Z * [new tag] ciflow/inductor/160483 -> ciflow/inductor/160483 2025-08-14T21:22:30.7366534Z * [new tag] ciflow/inductor/160485 -> ciflow/inductor/160485 2025-08-14T21:22:30.7367203Z * [new tag] ciflow/inductor/160486 -> ciflow/inductor/160486 2025-08-14T21:22:30.7367789Z * [new tag] ciflow/inductor/160503 -> ciflow/inductor/160503 2025-08-14T21:22:30.7368398Z * [new tag] ciflow/inductor/160510 -> ciflow/inductor/160510 2025-08-14T21:22:30.7369076Z * [new tag] ciflow/inductor/160527 -> ciflow/inductor/160527 2025-08-14T21:22:30.7369696Z * [new tag] ciflow/inductor/160530 -> ciflow/inductor/160530 2025-08-14T21:22:30.7370335Z * [new tag] ciflow/inductor/160531 -> ciflow/inductor/160531 2025-08-14T21:22:30.7370953Z * [new tag] ciflow/inductor/160538 -> ciflow/inductor/160538 2025-08-14T21:22:30.7375511Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-08-14T21:22:30.7375715Z * [new tag] ciflow/inductor/160540 -> ciflow/inductor/160540 2025-08-14T21:22:30.7375857Z * [new tag] ciflow/inductor/160548 -> ciflow/inductor/160548 2025-08-14T21:22:30.7376007Z * [new tag] ciflow/inductor/160561 -> ciflow/inductor/160561 2025-08-14T21:22:30.7376148Z * [new tag] ciflow/inductor/160576 -> ciflow/inductor/160576 2025-08-14T21:22:30.7376298Z * [new tag] ciflow/inductor/160578 -> ciflow/inductor/160578 2025-08-14T21:22:30.7376877Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-08-14T21:22:30.7377508Z * [new tag] ciflow/inductor/160583 -> ciflow/inductor/160583 2025-08-14T21:22:30.7378387Z * [new tag] ciflow/inductor/160589 -> ciflow/inductor/160589 2025-08-14T21:22:30.7379014Z * [new tag] ciflow/inductor/160590 -> ciflow/inductor/160590 2025-08-14T21:22:30.7379805Z * [new tag] ciflow/inductor/160592 -> ciflow/inductor/160592 2025-08-14T21:22:30.7380419Z * [new tag] ciflow/inductor/160596 -> ciflow/inductor/160596 2025-08-14T21:22:30.7381071Z * [new tag] ciflow/inductor/160601 -> ciflow/inductor/160601 2025-08-14T21:22:30.7381847Z * [new tag] ciflow/inductor/160607 -> ciflow/inductor/160607 2025-08-14T21:22:30.7382523Z * [new tag] ciflow/inductor/160608 -> ciflow/inductor/160608 2025-08-14T21:22:30.7383174Z * [new tag] ciflow/inductor/160611 -> ciflow/inductor/160611 2025-08-14T21:22:30.7383781Z * [new tag] ciflow/inductor/160614 -> ciflow/inductor/160614 2025-08-14T21:22:30.7384485Z * [new tag] ciflow/inductor/160616 -> ciflow/inductor/160616 2025-08-14T21:22:30.7385135Z * [new tag] ciflow/inductor/160619 -> ciflow/inductor/160619 2025-08-14T21:22:30.7394441Z * [new tag] ciflow/inductor/160625 -> ciflow/inductor/160625 2025-08-14T21:22:30.7394627Z * [new tag] ciflow/inductor/160635 -> ciflow/inductor/160635 2025-08-14T21:22:30.7394826Z * [new tag] ciflow/inductor/160649 -> ciflow/inductor/160649 2025-08-14T21:22:30.7395005Z * [new tag] ciflow/inductor/160658 -> ciflow/inductor/160658 2025-08-14T21:22:30.7395148Z * [new tag] ciflow/inductor/160662 -> ciflow/inductor/160662 2025-08-14T21:22:30.7395297Z * [new tag] ciflow/inductor/160668 -> ciflow/inductor/160668 2025-08-14T21:22:30.7395442Z * [new tag] ciflow/inductor/160669 -> ciflow/inductor/160669 2025-08-14T21:22:30.7395591Z * [new tag] ciflow/inductor/160670 -> ciflow/inductor/160670 2025-08-14T21:22:30.7395735Z * [new tag] ciflow/inductor/160671 -> ciflow/inductor/160671 2025-08-14T21:22:30.7396545Z * [new tag] ciflow/inductor/160677 -> ciflow/inductor/160677 2025-08-14T21:22:30.7397439Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-08-14T21:22:30.7398087Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-08-14T21:22:30.7398958Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-08-14T21:22:30.7399609Z * [new tag] ciflow/linux-aarch64/147855 -> ciflow/linux-aarch64/147855 2025-08-14T21:22:30.7408773Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-08-14T21:22:30.7408985Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-08-14T21:22:30.7409178Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-08-14T21:22:30.7409375Z * [new tag] ciflow/linux-aarch64/160299 -> ciflow/linux-aarch64/160299 2025-08-14T21:22:30.7409579Z * [new tag] ciflow/linux-aarch64/160301 -> ciflow/linux-aarch64/160301 2025-08-14T21:22:30.7409745Z * [new tag] ciflow/mps/155923 -> ciflow/mps/155923 2025-08-14T21:22:30.7409919Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-08-14T21:22:30.7410077Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-08-14T21:22:30.7410242Z * [new tag] ciflow/mps/160541 -> ciflow/mps/160541 2025-08-14T21:22:30.7410431Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-08-14T21:22:30.7410600Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-08-14T21:22:30.7410771Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-08-14T21:22:30.7410981Z * [new tag] ciflow/periodic-rocm-mi300/139971 -> ciflow/periodic-rocm-mi300/139971 2025-08-14T21:22:30.7411192Z * [new tag] ciflow/periodic-rocm-mi300/160073 -> ciflow/periodic-rocm-mi300/160073 2025-08-14T21:22:30.7411448Z * [new tag] ciflow/periodic-rocm-mi300/160538 -> ciflow/periodic-rocm-mi300/160538 2025-08-14T21:22:30.7411607Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-08-14T21:22:30.7411763Z * [new tag] ciflow/periodic/131296 -> ciflow/periodic/131296 2025-08-14T21:22:30.7411910Z * [new tag] ciflow/periodic/139971 -> ciflow/periodic/139971 2025-08-14T21:22:30.7412060Z * [new tag] ciflow/periodic/143959 -> ciflow/periodic/143959 2025-08-14T21:22:30.7412434Z * [new tag] ciflow/periodic/154595 -> ciflow/periodic/154595 2025-08-14T21:22:30.7413013Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-08-14T21:22:30.7413656Z * [new tag] ciflow/periodic/160201 -> ciflow/periodic/160201 2025-08-14T21:22:30.7414232Z * [new tag] ciflow/periodic/160424 -> ciflow/periodic/160424 2025-08-14T21:22:30.7423415Z * [new tag] ciflow/periodic/160538 -> ciflow/periodic/160538 2025-08-14T21:22:30.7424786Z * [new tag] ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65 2025-08-14T21:22:30.7425427Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-08-14T21:22:30.7426476Z * [new tag] ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b -> ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b 2025-08-14T21:22:30.7427105Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-08-14T21:22:30.7427932Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-08-14T21:22:30.7428775Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-08-14T21:22:30.7434114Z * [new tag] ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee 2025-08-14T21:22:30.7434527Z * [new tag] ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93 -> ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93 2025-08-14T21:22:30.7434699Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-08-14T21:22:30.7434882Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-08-14T21:22:30.7435059Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-08-14T21:22:30.7435238Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-08-14T21:22:30.7435596Z * [new tag] ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51 -> ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51 2025-08-14T21:22:30.7435798Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-08-14T21:22:30.7436794Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-08-14T21:22:30.7437741Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-08-14T21:22:30.7438531Z * [new tag] ciflow/rocm-mi300/151360 -> ciflow/rocm-mi300/151360 2025-08-14T21:22:30.7439154Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-08-14T21:22:30.7439730Z * [new tag] ciflow/rocm-mi300/160073 -> ciflow/rocm-mi300/160073 2025-08-14T21:22:30.7440381Z * [new tag] ciflow/rocm-mi300/160468 -> ciflow/rocm-mi300/160468 2025-08-14T21:22:30.7440927Z * [new tag] ciflow/rocm-mi300/160538 -> ciflow/rocm-mi300/160538 2025-08-14T21:22:30.7441788Z * [new tag] ciflow/rocm-mi355/160215 -> ciflow/rocm-mi355/160215 2025-08-14T21:22:30.7442497Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-08-14T21:22:30.7443063Z * [new tag] ciflow/rocm/151360 -> ciflow/rocm/151360 2025-08-14T21:22:30.7450107Z * [new tag] ciflow/rocm/151845 -> ciflow/rocm/151845 2025-08-14T21:22:30.7450276Z * [new tag] ciflow/rocm/154864 -> ciflow/rocm/154864 2025-08-14T21:22:30.7450443Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-08-14T21:22:30.7450603Z * [new tag] ciflow/rocm/158219 -> ciflow/rocm/158219 2025-08-14T21:22:30.7450767Z * [new tag] ciflow/rocm/158220 -> ciflow/rocm/158220 2025-08-14T21:22:30.7450925Z * [new tag] ciflow/rocm/158224 -> ciflow/rocm/158224 2025-08-14T21:22:30.7451081Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-08-14T21:22:30.7451251Z * [new tag] ciflow/rocm/160215 -> ciflow/rocm/160215 2025-08-14T21:22:30.7451418Z * [new tag] ciflow/rocm/160468 -> ciflow/rocm/160468 2025-08-14T21:22:30.7451581Z * [new tag] ciflow/rocm/160538 -> ciflow/rocm/160538 2025-08-14T21:22:30.7451781Z * [new tag] ciflow/s390/143959 -> ciflow/s390/143959 2025-08-14T21:22:30.7451993Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-08-14T21:22:30.7452654Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-08-14T21:22:30.7454063Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-08-14T21:22:30.7454664Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-08-14T21:22:30.7455207Z * [new tag] ciflow/slow/154595 -> ciflow/slow/154595 2025-08-14T21:22:30.7456102Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-08-14T21:22:30.7456728Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-08-14T21:22:30.7457433Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-08-14T21:22:30.7464718Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-08-14T21:22:30.7465664Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-08-14T21:22:30.7466399Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-08-14T21:22:30.7467265Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-08-14T21:22:30.7467972Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-08-14T21:22:30.7469101Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-08-14T21:22:30.7469561Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-08-14T21:22:30.7470285Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-08-14T21:22:30.7471074Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-08-14T21:22:30.7471815Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-08-14T21:22:30.7472674Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-08-14T21:22:30.7481882Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-08-14T21:22:30.7482077Z * [new tag] ciflow/trunk/131296 -> ciflow/trunk/131296 2025-08-14T21:22:30.7482215Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-08-14T21:22:30.7482353Z * [new tag] ciflow/trunk/138996 -> ciflow/trunk/138996 2025-08-14T21:22:30.7482572Z * [new tag] ciflow/trunk/139971 -> ciflow/trunk/139971 2025-08-14T21:22:30.7482703Z * [new tag] ciflow/trunk/147360 -> ciflow/trunk/147360 2025-08-14T21:22:30.7482837Z * [new tag] ciflow/trunk/147855 -> ciflow/trunk/147855 2025-08-14T21:22:30.7482966Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-08-14T21:22:30.7483096Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-08-14T21:22:30.7483230Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-08-14T21:22:30.7483361Z * [new tag] ciflow/trunk/150282 -> ciflow/trunk/150282 2025-08-14T21:22:30.7483490Z * [new tag] ciflow/trunk/150302 -> ciflow/trunk/150302 2025-08-14T21:22:30.7483626Z * [new tag] ciflow/trunk/151845 -> ciflow/trunk/151845 2025-08-14T21:22:30.7483760Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-08-14T21:22:30.7483901Z * [new tag] ciflow/trunk/154193 -> ciflow/trunk/154193 2025-08-14T21:22:30.7484029Z * [new tag] ciflow/trunk/154595 -> ciflow/trunk/154595 2025-08-14T21:22:30.7484158Z * [new tag] ciflow/trunk/154650 -> ciflow/trunk/154650 2025-08-14T21:22:30.7484603Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-08-14T21:22:30.7485203Z * [new tag] ciflow/trunk/155958 -> ciflow/trunk/155958 2025-08-14T21:22:30.7485811Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-08-14T21:22:30.7486445Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-08-14T21:22:30.7491299Z * [new tag] ciflow/trunk/156851 -> ciflow/trunk/156851 2025-08-14T21:22:30.7492199Z * [new tag] ciflow/trunk/157148 -> ciflow/trunk/157148 2025-08-14T21:22:30.7492729Z * [new tag] ciflow/trunk/157152 -> ciflow/trunk/157152 2025-08-14T21:22:30.7493312Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-08-14T21:22:30.7493943Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-08-14T21:22:30.7494546Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-08-14T21:22:30.7495168Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-08-14T21:22:30.7495774Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-08-14T21:22:30.7496394Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-08-14T21:22:30.7497034Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-08-14T21:22:30.7497644Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-08-14T21:22:30.7498334Z * [new tag] ciflow/trunk/158219 -> ciflow/trunk/158219 2025-08-14T21:22:30.7498943Z * [new tag] ciflow/trunk/158220 -> ciflow/trunk/158220 2025-08-14T21:22:30.7499567Z * [new tag] ciflow/trunk/158224 -> ciflow/trunk/158224 2025-08-14T21:22:30.7500711Z * [new tag] ciflow/trunk/158529 -> ciflow/trunk/158529 2025-08-14T21:22:30.7501359Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-08-14T21:22:30.7506025Z * [new tag] ciflow/trunk/158810 -> ciflow/trunk/158810 2025-08-14T21:22:30.7506155Z * [new tag] ciflow/trunk/158812 -> ciflow/trunk/158812 2025-08-14T21:22:30.7506293Z * [new tag] ciflow/trunk/158863 -> ciflow/trunk/158863 2025-08-14T21:22:30.7506422Z * [new tag] ciflow/trunk/158864 -> ciflow/trunk/158864 2025-08-14T21:22:30.7506563Z * [new tag] ciflow/trunk/158883 -> ciflow/trunk/158883 2025-08-14T21:22:30.7506812Z * [new tag] ciflow/trunk/158914 -> ciflow/trunk/158914 2025-08-14T21:22:30.7506942Z * [new tag] ciflow/trunk/158965 -> ciflow/trunk/158965 2025-08-14T21:22:30.7507082Z * [new tag] ciflow/trunk/158987 -> ciflow/trunk/158987 2025-08-14T21:22:30.7507308Z * [new tag] ciflow/trunk/159033 -> ciflow/trunk/159033 2025-08-14T21:22:30.7508155Z * [new tag] ciflow/trunk/159140 -> ciflow/trunk/159140 2025-08-14T21:22:30.7508633Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-08-14T21:22:30.7509288Z * [new tag] ciflow/trunk/159553 -> ciflow/trunk/159553 2025-08-14T21:22:30.7509924Z * [new tag] ciflow/trunk/159562 -> ciflow/trunk/159562 2025-08-14T21:22:30.7510636Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-08-14T21:22:30.7511270Z * [new tag] ciflow/trunk/159691 -> ciflow/trunk/159691 2025-08-14T21:22:30.7511873Z * [new tag] ciflow/trunk/159842 -> ciflow/trunk/159842 2025-08-14T21:22:30.7512512Z * [new tag] ciflow/trunk/159889 -> ciflow/trunk/159889 2025-08-14T21:22:30.7513115Z * [new tag] ciflow/trunk/159923 -> ciflow/trunk/159923 2025-08-14T21:22:30.7513725Z * [new tag] ciflow/trunk/160004 -> ciflow/trunk/160004 2025-08-14T21:22:30.7514379Z * [new tag] ciflow/trunk/160113 -> ciflow/trunk/160113 2025-08-14T21:22:30.7515037Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-08-14T21:22:30.7515657Z * [new tag] ciflow/trunk/160168 -> ciflow/trunk/160168 2025-08-14T21:22:30.7524775Z * [new tag] ciflow/trunk/160181 -> ciflow/trunk/160181 2025-08-14T21:22:30.7525008Z * [new tag] ciflow/trunk/160183 -> ciflow/trunk/160183 2025-08-14T21:22:30.7525176Z * [new tag] ciflow/trunk/160190 -> ciflow/trunk/160190 2025-08-14T21:22:30.7525339Z * [new tag] ciflow/trunk/160198 -> ciflow/trunk/160198 2025-08-14T21:22:30.7525509Z * [new tag] ciflow/trunk/160205 -> ciflow/trunk/160205 2025-08-14T21:22:30.7525671Z * [new tag] ciflow/trunk/160219 -> ciflow/trunk/160219 2025-08-14T21:22:30.7525830Z * [new tag] ciflow/trunk/160224 -> ciflow/trunk/160224 2025-08-14T21:22:30.7526001Z * [new tag] ciflow/trunk/160250 -> ciflow/trunk/160250 2025-08-14T21:22:30.7526163Z * [new tag] ciflow/trunk/160253 -> ciflow/trunk/160253 2025-08-14T21:22:30.7526548Z * [new tag] ciflow/trunk/160335 -> ciflow/trunk/160335 2025-08-14T21:22:30.7527245Z * [new tag] ciflow/trunk/160338 -> ciflow/trunk/160338 2025-08-14T21:22:30.7527893Z * [new tag] ciflow/trunk/160383 -> ciflow/trunk/160383 2025-08-14T21:22:30.7528450Z * [new tag] ciflow/trunk/160401 -> ciflow/trunk/160401 2025-08-14T21:22:30.7529086Z * [new tag] ciflow/trunk/160403 -> ciflow/trunk/160403 2025-08-14T21:22:30.7529711Z * [new tag] ciflow/trunk/160430 -> ciflow/trunk/160430 2025-08-14T21:22:30.7530316Z * [new tag] ciflow/trunk/160431 -> ciflow/trunk/160431 2025-08-14T21:22:30.7535044Z * [new tag] ciflow/trunk/160439 -> ciflow/trunk/160439 2025-08-14T21:22:30.7535179Z * [new tag] ciflow/trunk/160449 -> ciflow/trunk/160449 2025-08-14T21:22:30.7535310Z * [new tag] ciflow/trunk/160454 -> ciflow/trunk/160454 2025-08-14T21:22:30.7535445Z * [new tag] ciflow/trunk/160468 -> ciflow/trunk/160468 2025-08-14T21:22:30.7535630Z * [new tag] ciflow/trunk/160481 -> ciflow/trunk/160481 2025-08-14T21:22:30.7535769Z * [new tag] ciflow/trunk/160485 -> ciflow/trunk/160485 2025-08-14T21:22:30.7535904Z * [new tag] ciflow/trunk/160519 -> ciflow/trunk/160519 2025-08-14T21:22:30.7536035Z * [new tag] ciflow/trunk/160527 -> ciflow/trunk/160527 2025-08-14T21:22:30.7536681Z * [new tag] ciflow/trunk/160560 -> ciflow/trunk/160560 2025-08-14T21:22:30.7537301Z * [new tag] ciflow/trunk/160578 -> ciflow/trunk/160578 2025-08-14T21:22:30.7537948Z * [new tag] ciflow/trunk/160589 -> ciflow/trunk/160589 2025-08-14T21:22:30.7538556Z * [new tag] ciflow/trunk/160592 -> ciflow/trunk/160592 2025-08-14T21:22:30.7539171Z * [new tag] ciflow/trunk/160649 -> ciflow/trunk/160649 2025-08-14T21:22:30.7539814Z * [new tag] ciflow/trunk/160656 -> ciflow/trunk/160656 2025-08-14T21:22:30.7540763Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-08-14T21:22:30.7541461Z * [new tag] ciflow/vllm/160116 -> ciflow/vllm/160116 2025-08-14T21:22:30.7542017Z * [new tag] ciflow/vllm/160583 -> ciflow/vllm/160583 2025-08-14T21:22:30.7542632Z * [new tag] ciflow/vllm/160619 -> ciflow/vllm/160619 2025-08-14T21:22:30.7543179Z * [new tag] ciflow/vllm/160625 -> ciflow/vllm/160625 2025-08-14T21:22:30.7543843Z * [new tag] ciflow/vllm/160627 -> ciflow/vllm/160627 2025-08-14T21:22:30.7544716Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-08-14T21:22:30.7545221Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-08-14T21:22:30.7550559Z * [new tag] ciflow/win-arm64/159553 -> ciflow/win-arm64/159553 2025-08-14T21:22:30.7550808Z * [new tag] ciflow/win-arm64/159562 -> ciflow/win-arm64/159562 2025-08-14T21:22:30.7551523Z * [new tag] ciflow/win-arm64/159777 -> ciflow/win-arm64/159777 2025-08-14T21:22:30.7552162Z * [new tag] ciflow/win-arm64/159780 -> ciflow/win-arm64/159780 2025-08-14T21:22:30.7552714Z * [new tag] ciflow/win-arm64/159842 -> ciflow/win-arm64/159842 2025-08-14T21:22:30.7553872Z * [new tag] ciflow/win-arm64/160250 -> ciflow/win-arm64/160250 2025-08-14T21:22:30.7556490Z * [new tag] ciflow/win-arm64/160253 -> ciflow/win-arm64/160253 2025-08-14T21:22:30.7557028Z * [new tag] ciflow/win-arm64/160454 -> ciflow/win-arm64/160454 2025-08-14T21:22:30.7557594Z * [new tag] ciflow/win-arm64/160560 -> ciflow/win-arm64/160560 2025-08-14T21:22:30.7558460Z * [new tag] ciflow/xpu/138996 -> ciflow/xpu/138996 2025-08-14T21:22:30.7558897Z * [new tag] ciflow/xpu/139971 -> ciflow/xpu/139971 2025-08-14T21:22:30.7568177Z * [new tag] ciflow/xpu/140972 -> ciflow/xpu/140972 2025-08-14T21:22:30.7568338Z * [new tag] ciflow/xpu/143553 -> ciflow/xpu/143553 2025-08-14T21:22:30.7568503Z * [new tag] ciflow/xpu/156272 -> ciflow/xpu/156272 2025-08-14T21:22:30.7568667Z * [new tag] ciflow/xpu/156812 -> ciflow/xpu/156812 2025-08-14T21:22:30.7568836Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-08-14T21:22:30.7568996Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-08-14T21:22:30.7569150Z * [new tag] ciflow/xpu/158336 -> ciflow/xpu/158336 2025-08-14T21:22:30.7569317Z * [new tag] ciflow/xpu/158733 -> ciflow/xpu/158733 2025-08-14T21:22:30.7569484Z * [new tag] ciflow/xpu/159033 -> ciflow/xpu/159033 2025-08-14T21:22:30.7569938Z * [new tag] ciflow/xpu/159118 -> ciflow/xpu/159118 2025-08-14T21:22:30.7570063Z * [new tag] ciflow/xpu/159140 -> ciflow/xpu/159140 2025-08-14T21:22:30.7570190Z * [new tag] ciflow/xpu/159241 -> ciflow/xpu/159241 2025-08-14T21:22:30.7570329Z * [new tag] ciflow/xpu/159473 -> ciflow/xpu/159473 2025-08-14T21:22:30.7570457Z * [new tag] ciflow/xpu/159474 -> ciflow/xpu/159474 2025-08-14T21:22:30.7570593Z * [new tag] ciflow/xpu/159553 -> ciflow/xpu/159553 2025-08-14T21:22:30.7570718Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-08-14T21:22:30.7570852Z * [new tag] ciflow/xpu/160062 -> ciflow/xpu/160062 2025-08-14T21:22:30.7571380Z * [new tag] ciflow/xpu/160067 -> ciflow/xpu/160067 2025-08-14T21:22:30.7572066Z * [new tag] ciflow/xpu/160158 -> ciflow/xpu/160158 2025-08-14T21:22:30.7572715Z * [new tag] ciflow/xpu/160173 -> ciflow/xpu/160173 2025-08-14T21:22:30.7573358Z * [new tag] ciflow/xpu/160183 -> ciflow/xpu/160183 2025-08-14T21:22:30.7573909Z * [new tag] ciflow/xpu/160301 -> ciflow/xpu/160301 2025-08-14T21:22:30.7582964Z * [new tag] ciflow/xpu/160403 -> ciflow/xpu/160403 2025-08-14T21:22:30.7583653Z * [new tag] ciflow/xpu/160606 -> ciflow/xpu/160606 2025-08-14T21:22:30.7584370Z * [new tag] cslpull75 -> cslpull75 2025-08-14T21:22:30.7585077Z * [new tag] cslpull76 -> cslpull76 2025-08-14T21:22:30.7585739Z * [new tag] cslpull77 -> cslpull77 2025-08-14T21:22:30.7586612Z * [new tag] cslpull78 -> cslpull78 2025-08-14T21:22:30.7587513Z * [new tag] cslpull79 -> cslpull79 2025-08-14T21:22:30.7588422Z * [new tag] cslpull80 -> cslpull80 2025-08-14T21:22:30.7593080Z * [new tag] cslpull81 -> cslpull81 2025-08-14T21:22:30.7593246Z * [new tag] cslpull82 -> cslpull82 2025-08-14T21:22:30.7593363Z * [new tag] cslpull83 -> cslpull83 2025-08-14T21:22:30.7593719Z * [new tag] cslpull84 -> cslpull84 2025-08-14T21:22:30.7594388Z * [new tag] cslpull85 -> cslpull85 2025-08-14T21:22:30.7595066Z * [new tag] cslpull86 -> cslpull86 2025-08-14T21:22:30.7595819Z * [new tag] cslpull87 -> cslpull87 2025-08-14T21:22:30.7596622Z * [new tag] cslpull88 -> cslpull88 2025-08-14T21:22:30.7597279Z * [new tag] cslpull89 -> cslpull89 2025-08-14T21:22:30.7597849Z * [new tag] cslpull90 -> cslpull90 2025-08-14T21:22:30.7598951Z * [new tag] cslpull91 -> cslpull91 2025-08-14T21:22:30.7599567Z * [new tag] cslpull92 -> cslpull92 2025-08-14T21:22:30.7600356Z * [new tag] flight_5 -> flight_5 2025-08-14T21:22:30.7601130Z * [new tag] flight_5.1 -> flight_5.1 2025-08-14T21:22:30.7601834Z * [new tag] flight_5.2 -> flight_5.2 2025-08-14T21:22:30.7602470Z * [new tag] flight_5.3 -> flight_5.3 2025-08-14T21:22:30.7607529Z * [new tag] forpull1 -> forpull1 2025-08-14T21:22:30.7607697Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-08-14T21:22:30.7607921Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-08-14T21:22:30.7608137Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-08-14T21:22:30.7608331Z * [new tag] nightly-binary -> nightly-binary 2025-08-14T21:22:30.7608489Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-08-14T21:22:30.7608693Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-08-14T21:22:30.7609001Z * [new tag] trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6 -> trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6 2025-08-14T21:22:30.7609643Z * [new tag] trunk/017259f9c65b6fad55fb9597d7077e2543eaae46 -> trunk/017259f9c65b6fad55fb9597d7077e2543eaae46 2025-08-14T21:22:30.7612009Z * [new tag] trunk/01bcf9a40dea937637d2cdd530bed2652510943d -> trunk/01bcf9a40dea937637d2cdd530bed2652510943d 2025-08-14T21:22:30.7612352Z * [new tag] trunk/01f66d08d93365015f4af005a252f439c4d4013a -> trunk/01f66d08d93365015f4af005a252f439c4d4013a 2025-08-14T21:22:30.7612654Z * [new tag] trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e -> trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e 2025-08-14T21:22:30.7612936Z * [new tag] trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb -> trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb 2025-08-14T21:22:30.7613463Z * [new tag] trunk/05c19d1acecc01b0d2512364183058a6885b9869 -> trunk/05c19d1acecc01b0d2512364183058a6885b9869 2025-08-14T21:22:30.7614237Z * [new tag] trunk/05c417715f791875fbf28cfc3fc86142de1a3206 -> trunk/05c417715f791875fbf28cfc3fc86142de1a3206 2025-08-14T21:22:30.7614948Z * [new tag] trunk/06824f3c7268bb807a422b663047cd0900ddd126 -> trunk/06824f3c7268bb807a422b663047cd0900ddd126 2025-08-14T21:22:30.7615595Z * [new tag] trunk/077cb389746a7d61cfc018aad2ba29a8aa195610 -> trunk/077cb389746a7d61cfc018aad2ba29a8aa195610 2025-08-14T21:22:30.7616437Z * [new tag] trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057 -> trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057 2025-08-14T21:22:30.7617124Z * [new tag] trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1 -> trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1 2025-08-14T21:22:30.7622355Z * [new tag] trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde -> trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde 2025-08-14T21:22:30.7623082Z * [new tag] trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4 -> trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4 2025-08-14T21:22:30.7623802Z * [new tag] trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81 -> trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81 2025-08-14T21:22:30.7624571Z * [new tag] trunk/0d71ca2c46753bb268bfdcf815c14415c122a289 -> trunk/0d71ca2c46753bb268bfdcf815c14415c122a289 2025-08-14T21:22:30.7625302Z * [new tag] trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b -> trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b 2025-08-14T21:22:30.7625999Z * [new tag] trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11 -> trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11 2025-08-14T21:22:30.7626801Z * [new tag] trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca -> trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca 2025-08-14T21:22:30.7627764Z * [new tag] trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483 -> trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483 2025-08-14T21:22:30.7628427Z * [new tag] trunk/1028c5e2d50e121865bf98307e7c035f549a24b2 -> trunk/1028c5e2d50e121865bf98307e7c035f549a24b2 2025-08-14T21:22:30.7629163Z * [new tag] trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e -> trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e 2025-08-14T21:22:30.7629965Z * [new tag] trunk/10e3514c962b58cbbee994257872a626ff76d51b -> trunk/10e3514c962b58cbbee994257872a626ff76d51b 2025-08-14T21:22:30.7630676Z * [new tag] trunk/1128f4c2a822cbe34a9d966306af15097179ffe1 -> trunk/1128f4c2a822cbe34a9d966306af15097179ffe1 2025-08-14T21:22:30.7631414Z * [new tag] trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e -> trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e 2025-08-14T21:22:30.7636672Z * [new tag] trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76 -> trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76 2025-08-14T21:22:30.7636956Z * [new tag] trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91 -> trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91 2025-08-14T21:22:30.7637240Z * [new tag] trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8 -> trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8 2025-08-14T21:22:30.7637512Z * [new tag] trunk/15e49f61643e4c0eef420f0981609709ef55b848 -> trunk/15e49f61643e4c0eef420f0981609709ef55b848 2025-08-14T21:22:30.7637796Z * [new tag] trunk/16d15445f8bd8740095b23de4af89d757af793ca -> trunk/16d15445f8bd8740095b23de4af89d757af793ca 2025-08-14T21:22:30.7638069Z * [new tag] trunk/178515d0ff6833c8e9221482b2a650ab31e00019 -> trunk/178515d0ff6833c8e9221482b2a650ab31e00019 2025-08-14T21:22:30.7638350Z * [new tag] trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe -> trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe 2025-08-14T21:22:30.7638642Z * [new tag] trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf -> trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf 2025-08-14T21:22:30.7638967Z * [new tag] trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca -> trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca 2025-08-14T21:22:30.7639405Z * [new tag] trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014 -> trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014 2025-08-14T21:22:30.7640107Z * [new tag] trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a -> trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a 2025-08-14T21:22:30.7640903Z * [new tag] trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7 -> trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7 2025-08-14T21:22:30.7641928Z * [new tag] trunk/1c2587119152cec3905647a47c65d3d26619c5a8 -> trunk/1c2587119152cec3905647a47c65d3d26619c5a8 2025-08-14T21:22:30.7642439Z * [new tag] trunk/1c26c53851c212a7c90a325549a72f0571613a8c -> trunk/1c26c53851c212a7c90a325549a72f0571613a8c 2025-08-14T21:22:30.7643204Z * [new tag] trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613 -> trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613 2025-08-14T21:22:30.7643913Z * [new tag] trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3 -> trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3 2025-08-14T21:22:30.7644675Z * [new tag] trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc -> trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc 2025-08-14T21:22:30.7645592Z * [new tag] trunk/1f4057c11ac941fb324386ca594d0a6882185aad -> trunk/1f4057c11ac941fb324386ca594d0a6882185aad 2025-08-14T21:22:30.7646251Z * [new tag] trunk/1fc683cf17c8c673044538d10266c00f92987be2 -> trunk/1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:22:30.7651298Z * [new tag] trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65 2025-08-14T21:22:30.7652028Z * [new tag] trunk/206c1eef6571f906c2792d899a09136b3fce9673 -> trunk/206c1eef6571f906c2792d899a09136b3fce9673 2025-08-14T21:22:30.7652835Z * [new tag] trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb -> trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb 2025-08-14T21:22:30.7653858Z * [new tag] trunk/21392c0e06ac2b2621950455975ca6332f0bf641 -> trunk/21392c0e06ac2b2621950455975ca6332f0bf641 2025-08-14T21:22:30.7654621Z * [new tag] trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6 -> trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6 2025-08-14T21:22:30.7655250Z * [new tag] trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d -> trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d 2025-08-14T21:22:30.7655980Z * [new tag] trunk/231c72240d80091f099c95e326d3600cba866eee -> trunk/231c72240d80091f099c95e326d3600cba866eee 2025-08-14T21:22:30.7656620Z * [new tag] trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c -> trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c 2025-08-14T21:22:30.7657853Z * [new tag] trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd -> trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd 2025-08-14T21:22:30.7658511Z * [new tag] trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9 -> trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9 2025-08-14T21:22:30.7659234Z * [new tag] trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227 -> trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227 2025-08-14T21:22:30.7659957Z * [new tag] trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72 -> trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72 2025-08-14T21:22:30.7660663Z * [new tag] trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c -> trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c 2025-08-14T21:22:30.7665609Z * [new tag] trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31 -> trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31 2025-08-14T21:22:30.7665909Z * [new tag] trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad -> trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad 2025-08-14T21:22:30.7666208Z * [new tag] trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1 -> trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1 2025-08-14T21:22:30.7666491Z * [new tag] trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51 -> trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51 2025-08-14T21:22:30.7666837Z * [new tag] trunk/2ee22e435131369a7e4f8cc4732579acc29a941b -> trunk/2ee22e435131369a7e4f8cc4732579acc29a941b 2025-08-14T21:22:30.7667192Z * [new tag] trunk/2f4c2226175512af787725c4d5ad7313c60d4db1 -> trunk/2f4c2226175512af787725c4d5ad7313c60d4db1 2025-08-14T21:22:30.7667477Z * [new tag] trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5 -> trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5 2025-08-14T21:22:30.7667763Z * [new tag] trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2 -> trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2 2025-08-14T21:22:30.7668040Z * [new tag] trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6 -> trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6 2025-08-14T21:22:30.7668422Z * [new tag] trunk/305fa2239365ad17ac9c534a68bba8a149c42d67 -> trunk/305fa2239365ad17ac9c534a68bba8a149c42d67 2025-08-14T21:22:30.7669165Z * [new tag] trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706 -> trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706 2025-08-14T21:22:30.7669889Z * [new tag] trunk/32099961d588fc19ead8afe805d6b5108de75669 -> trunk/32099961d588fc19ead8afe805d6b5108de75669 2025-08-14T21:22:30.7670653Z * [new tag] trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047 -> trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047 2025-08-14T21:22:30.7671289Z * [new tag] trunk/334b38ccc4427b1d14981c48a3a0b92180d58225 -> trunk/334b38ccc4427b1d14981c48a3a0b92180d58225 2025-08-14T21:22:30.7672008Z * [new tag] trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513 -> trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513 2025-08-14T21:22:30.7672862Z * [new tag] trunk/33d94018668951611b318b7515ae96f04e48eac0 -> trunk/33d94018668951611b318b7515ae96f04e48eac0 2025-08-14T21:22:30.7673605Z * [new tag] trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb -> trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb 2025-08-14T21:22:30.7674342Z * [new tag] trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673 -> trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673 2025-08-14T21:22:30.7675038Z * [new tag] trunk/355462e1278d818deb9ef4a184073d5b66074816 -> trunk/355462e1278d818deb9ef4a184073d5b66074816 2025-08-14T21:22:30.7684479Z * [new tag] trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919 -> trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919 2025-08-14T21:22:30.7684936Z * [new tag] trunk/36f46d082a4954921cb8493223f000f2aab79ed7 -> trunk/36f46d082a4954921cb8493223f000f2aab79ed7 2025-08-14T21:22:30.7685491Z * [new tag] trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2 -> trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2 2025-08-14T21:22:30.7686344Z * [new tag] trunk/3a562374401113187ce2566b87e3f1d87d7c53aa -> trunk/3a562374401113187ce2566b87e3f1d87d7c53aa 2025-08-14T21:22:30.7686971Z * [new tag] trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae -> trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae 2025-08-14T21:22:30.7687611Z * [new tag] trunk/3be70dc30e893b552fc0f23ca06cd8f7949b6d08 -> trunk/3be70dc30e893b552fc0f23ca06cd8f7949b6d08 2025-08-14T21:22:30.7688362Z * [new tag] trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0 -> trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0 2025-08-14T21:22:30.7689114Z * [new tag] trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2 -> trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2 2025-08-14T21:22:30.7689874Z * [new tag] trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f -> trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f 2025-08-14T21:22:30.7694662Z * [new tag] trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0 -> trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0 2025-08-14T21:22:30.7694951Z * [new tag] trunk/3faee0a6318afcbbbb48687009a459214910d820 -> trunk/3faee0a6318afcbbbb48687009a459214910d820 2025-08-14T21:22:30.7695227Z * [new tag] trunk/3fcd79e023da7156ac584992ebab29205d3b7881 -> trunk/3fcd79e023da7156ac584992ebab29205d3b7881 2025-08-14T21:22:30.7695505Z * [new tag] trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6 -> trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6 2025-08-14T21:22:30.7695836Z * [new tag] trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23 -> trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23 2025-08-14T21:22:30.7696117Z * [new tag] trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60 -> trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60 2025-08-14T21:22:30.7696406Z * [new tag] trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d -> trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d 2025-08-14T21:22:30.7696723Z * [new tag] trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f -> trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f 2025-08-14T21:22:30.7697468Z * [new tag] trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3 -> trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3 2025-08-14T21:22:30.7698189Z * [new tag] trunk/45ba7ecda876685b083cbbe932450560c566826b -> trunk/45ba7ecda876685b083cbbe932450560c566826b 2025-08-14T21:22:30.7699242Z * [new tag] trunk/47a1db823dfcdacdb99f317428fc3791a18c5812 -> trunk/47a1db823dfcdacdb99f317428fc3791a18c5812 2025-08-14T21:22:30.7699797Z * [new tag] trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee 2025-08-14T21:22:30.7700595Z * [new tag] trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3 -> trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3 2025-08-14T21:22:30.7701337Z * [new tag] trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d -> trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d 2025-08-14T21:22:30.7702106Z * [new tag] trunk/4d419a74610c32b1372f8802dcc61893740a23cf -> trunk/4d419a74610c32b1372f8802dcc61893740a23cf 2025-08-14T21:22:30.7702860Z * [new tag] trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235 -> trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235 2025-08-14T21:22:30.7703652Z * [new tag] trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc -> trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc 2025-08-14T21:22:30.7704474Z * [new tag] trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42 -> trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42 2025-08-14T21:22:30.7709657Z * [new tag] trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d -> trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d 2025-08-14T21:22:30.7710422Z * [new tag] trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa -> trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa 2025-08-14T21:22:30.7711221Z * [new tag] trunk/53e39494958b7e2278cc8176f63636e812e8945f -> trunk/53e39494958b7e2278cc8176f63636e812e8945f 2025-08-14T21:22:30.7711874Z * [new tag] trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce -> trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce 2025-08-14T21:22:30.7712631Z * [new tag] trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919 -> trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919 2025-08-14T21:22:30.7713407Z * [new tag] trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3 -> trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3 2025-08-14T21:22:30.7714196Z * [new tag] trunk/56c828bef93eada0e18d2cc013207831ca80cc99 -> trunk/56c828bef93eada0e18d2cc013207831ca80cc99 2025-08-14T21:22:30.7714939Z * [new tag] trunk/5737372862253a0ac0292407a5844796f02380ad -> trunk/5737372862253a0ac0292407a5844796f02380ad 2025-08-14T21:22:30.7715759Z * [new tag] trunk/57f738b6357cc8fcdde479a0948e723809a1a44d -> trunk/57f738b6357cc8fcdde479a0948e723809a1a44d 2025-08-14T21:22:30.7716563Z * [new tag] trunk/5a40c5784482255b9baf14086cc4b9349fc6d512 -> trunk/5a40c5784482255b9baf14086cc4b9349fc6d512 2025-08-14T21:22:30.7717312Z * [new tag] trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307 -> trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307 2025-08-14T21:22:30.7718051Z * [new tag] trunk/5ace061254af71aa83d1baae81aa1864c9746add -> trunk/5ace061254af71aa83d1baae81aa1864c9746add 2025-08-14T21:22:30.7718842Z * [new tag] trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f -> trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f 2025-08-14T21:22:30.7727966Z * [new tag] trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf -> trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf 2025-08-14T21:22:30.7728363Z * [new tag] trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a -> trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a 2025-08-14T21:22:30.7728756Z * [new tag] trunk/5f5f508aa836a46dfe88857fb223049616b94e93 -> trunk/5f5f508aa836a46dfe88857fb223049616b94e93 2025-08-14T21:22:30.7729141Z * [new tag] trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca -> trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca 2025-08-14T21:22:30.7729535Z * [new tag] trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc -> trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc 2025-08-14T21:22:30.7729920Z * [new tag] trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62 -> trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62 2025-08-14T21:22:30.7730233Z * [new tag] trunk/641ee7478150f26969968f49d8b358e199679a8a -> trunk/641ee7478150f26969968f49d8b358e199679a8a 2025-08-14T21:22:30.7730516Z * [new tag] trunk/65053c03a3d209060cb239d20a229dac37cf9dd1 -> trunk/65053c03a3d209060cb239d20a229dac37cf9dd1 2025-08-14T21:22:30.7730790Z * [new tag] trunk/652a6f5954d039d61dc6e6575ccf89d385d74537 -> trunk/652a6f5954d039d61dc6e6575ccf89d385d74537 2025-08-14T21:22:30.7731077Z * [new tag] trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14 -> trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14 2025-08-14T21:22:30.7731351Z * [new tag] trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c -> trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c 2025-08-14T21:22:30.7731630Z * [new tag] trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f -> trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f 2025-08-14T21:22:30.7731919Z * [new tag] trunk/6be6d06295c870c77a6eb69f96b3170d983520d5 -> trunk/6be6d06295c870c77a6eb69f96b3170d983520d5 2025-08-14T21:22:30.7732261Z * [new tag] trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49 -> trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49 2025-08-14T21:22:30.7732546Z * [new tag] trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66 -> trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66 2025-08-14T21:22:30.7732822Z * [new tag] trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7 -> trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7 2025-08-14T21:22:30.7733103Z * [new tag] trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58 -> trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58 2025-08-14T21:22:30.7733376Z * [new tag] trunk/6ee175195ac7853734d64704171993cc6265eb38 -> trunk/6ee175195ac7853734d64704171993cc6265eb38 2025-08-14T21:22:30.7742114Z * [new tag] trunk/6f0f4e0c3eacd479864319127915f869f64e1935 -> trunk/6f0f4e0c3eacd479864319127915f869f64e1935 2025-08-14T21:22:30.7742951Z * [new tag] trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8 -> trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8 2025-08-14T21:22:30.7743740Z * [new tag] trunk/72009ec6bebca7714f99c18449183787f202af4d -> trunk/72009ec6bebca7714f99c18449183787f202af4d 2025-08-14T21:22:30.7744483Z * [new tag] trunk/731ee31f7b6ba19307daab323f6196172b71aaf8 -> trunk/731ee31f7b6ba19307daab323f6196172b71aaf8 2025-08-14T21:22:30.7745249Z * [new tag] trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59 -> trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59 2025-08-14T21:22:30.7746008Z * [new tag] trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41 -> trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41 2025-08-14T21:22:30.7746714Z * [new tag] trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4 -> trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4 2025-08-14T21:22:30.7747545Z * [new tag] trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299 -> trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299 2025-08-14T21:22:30.7752915Z * [new tag] trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114 -> trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114 2025-08-14T21:22:30.7753202Z * [new tag] trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef -> trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef 2025-08-14T21:22:30.7753815Z * [new tag] trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac -> trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac 2025-08-14T21:22:30.7754091Z * [new tag] trunk/7e27347fd353928c99620495c8c531a5eba7d56b -> trunk/7e27347fd353928c99620495c8c531a5eba7d56b 2025-08-14T21:22:30.7754494Z * [new tag] trunk/7e91394955721c77645fcdb75a5d47a255d65020 -> trunk/7e91394955721c77645fcdb75a5d47a255d65020 2025-08-14T21:22:30.7755249Z * [new tag] trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001 -> trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001 2025-08-14T21:22:30.7756016Z * [new tag] trunk/7fbc22855c17741ae016992803b2e147a13aa22d -> trunk/7fbc22855c17741ae016992803b2e147a13aa22d 2025-08-14T21:22:30.7756804Z * [new tag] trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348 -> trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348 2025-08-14T21:22:30.7757545Z * [new tag] trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2 -> trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2 2025-08-14T21:22:30.7758278Z * [new tag] trunk/80cca8307943ba64168208b54028f55b2c71daff -> trunk/80cca8307943ba64168208b54028f55b2c71daff 2025-08-14T21:22:30.7759046Z * [new tag] trunk/8147370733bbdcd034cad54e9212e51885a11892 -> trunk/8147370733bbdcd034cad54e9212e51885a11892 2025-08-14T21:22:30.7760304Z * [new tag] trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26 -> trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26 2025-08-14T21:22:30.7760974Z * [new tag] trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654 -> trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654 2025-08-14T21:22:30.7761800Z * [new tag] trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f -> trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f 2025-08-14T21:22:30.7762538Z * [new tag] trunk/85db508af533649d0b3447ff3f0d5fe083150c84 -> trunk/85db508af533649d0b3447ff3f0d5fe083150c84 2025-08-14T21:22:30.7767308Z * [new tag] trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a -> trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a 2025-08-14T21:22:30.7767652Z * [new tag] trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367 -> trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367 2025-08-14T21:22:30.7767937Z * [new tag] trunk/89654db1abccf7e5f261989a150db4d1619ea2aa -> trunk/89654db1abccf7e5f261989a150db4d1619ea2aa 2025-08-14T21:22:30.7768223Z * [new tag] trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1 -> trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1 2025-08-14T21:22:30.7768507Z * [new tag] trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d -> trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d 2025-08-14T21:22:30.7768797Z * [new tag] trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6 -> trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6 2025-08-14T21:22:30.7769081Z * [new tag] trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0 -> trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0 2025-08-14T21:22:30.7769361Z * [new tag] trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4 -> trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4 2025-08-14T21:22:30.7769711Z * [new tag] trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d -> trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d 2025-08-14T21:22:30.7770037Z * [new tag] trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1 -> trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1 2025-08-14T21:22:30.7770790Z * [new tag] trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347 -> trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347 2025-08-14T21:22:30.7771631Z * [new tag] trunk/8d6d3246316e1767a57d5e855acd6208da753b75 -> trunk/8d6d3246316e1767a57d5e855acd6208da753b75 2025-08-14T21:22:30.7772326Z * [new tag] trunk/8e6a3138581152ab827a0997f34c470271399f5e -> trunk/8e6a3138581152ab827a0997f34c470271399f5e 2025-08-14T21:22:30.7773069Z * [new tag] trunk/8eee08d2279b98af2522debb6512d37e837e89e3 -> trunk/8eee08d2279b98af2522debb6512d37e837e89e3 2025-08-14T21:22:30.7773860Z * [new tag] trunk/90b78ee50f73b5c963996076a3d54b74b1b965be -> trunk/90b78ee50f73b5c963996076a3d54b74b1b965be 2025-08-14T21:22:30.7774494Z * [new tag] trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6 -> trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6 2025-08-14T21:22:30.7775527Z * [new tag] trunk/95210cc409dd578988c7116b47725c304dea54c7 -> trunk/95210cc409dd578988c7116b47725c304dea54c7 2025-08-14T21:22:30.7776122Z * [new tag] trunk/96bd33b2de79598566df395f32e27c4d33673f05 -> trunk/96bd33b2de79598566df395f32e27c4d33673f05 2025-08-14T21:22:30.7776964Z * [new tag] trunk/9708fcf92db88b80b9010c68662d634434da3106 -> trunk/9708fcf92db88b80b9010c68662d634434da3106 2025-08-14T21:22:30.7782174Z * [new tag] trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8 -> trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8 2025-08-14T21:22:30.7782906Z * [new tag] trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8 -> trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8 2025-08-14T21:22:30.7783690Z * [new tag] trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd -> trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd 2025-08-14T21:22:30.7784330Z * [new tag] trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd -> trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd 2025-08-14T21:22:30.7785127Z * [new tag] trunk/9a0f7a3bb01b235ea04581ee540970a098071b72 -> trunk/9a0f7a3bb01b235ea04581ee540970a098071b72 2025-08-14T21:22:30.7785953Z * [new tag] trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8 -> trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8 2025-08-14T21:22:30.7786948Z * [new tag] trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df -> trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df 2025-08-14T21:22:30.7787715Z * [new tag] trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc -> trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc 2025-08-14T21:22:30.7788538Z * [new tag] trunk/9e07673deb212c87b1c6fea23799a97474c476ed -> trunk/9e07673deb212c87b1c6fea23799a97474c476ed 2025-08-14T21:22:30.7789270Z * [new tag] trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09 -> trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09 2025-08-14T21:22:30.7790048Z * [new tag] trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674 -> trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674 2025-08-14T21:22:30.7790853Z * [new tag] trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715 -> trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715 2025-08-14T21:22:30.7800059Z * [new tag] trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69 -> trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69 2025-08-14T21:22:30.7800479Z * [new tag] trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c -> trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c 2025-08-14T21:22:30.7800864Z * [new tag] trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600 -> trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600 2025-08-14T21:22:30.7801258Z * [new tag] trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b -> trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b 2025-08-14T21:22:30.7801657Z * [new tag] trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae -> trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae 2025-08-14T21:22:30.7802050Z * [new tag] trunk/a5652407e4f3d772fc44486ac2abf756decf0861 -> trunk/a5652407e4f3d772fc44486ac2abf756decf0861 2025-08-14T21:22:30.7802457Z * [new tag] trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b -> trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b 2025-08-14T21:22:30.7802911Z * [new tag] trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332 -> trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332 2025-08-14T21:22:30.7803204Z * [new tag] trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883 -> trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883 2025-08-14T21:22:30.7803486Z * [new tag] trunk/adcca7d9a1c053495e99012de801b2ea237faad0 -> trunk/adcca7d9a1c053495e99012de801b2ea237faad0 2025-08-14T21:22:30.7803770Z * [new tag] trunk/af10f1f86cc4effc93142a447693d8be55966615 -> trunk/af10f1f86cc4effc93142a447693d8be55966615 2025-08-14T21:22:30.7804065Z * [new tag] trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c -> trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c 2025-08-14T21:22:30.7804344Z * [new tag] trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107 -> trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107 2025-08-14T21:22:30.7804626Z * [new tag] trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5 -> trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5 2025-08-14T21:22:30.7804899Z * [new tag] trunk/b1a602762e6a6674b406a3137e7e7a678885a97b -> trunk/b1a602762e6a6674b406a3137e7e7a678885a97b 2025-08-14T21:22:30.7805184Z * [new tag] trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc -> trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc 2025-08-14T21:22:30.7805473Z * [new tag] trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753 -> trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753 2025-08-14T21:22:30.7805743Z * [new tag] trunk/b4596895b9d85a686c2cb978938b0a7797b3690a -> trunk/b4596895b9d85a686c2cb978938b0a7797b3690a 2025-08-14T21:22:30.7806271Z * [new tag] trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02 -> trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02 2025-08-14T21:22:30.7813292Z * [new tag] trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf -> trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf 2025-08-14T21:22:30.7813721Z * [new tag] trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64 -> trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64 2025-08-14T21:22:30.7814202Z * [new tag] trunk/b7db86600a2614adc71c92ca42d359a7ac534d78 -> trunk/b7db86600a2614adc71c92ca42d359a7ac534d78 2025-08-14T21:22:30.7814586Z * [new tag] trunk/b9003ed3d87699e81e436719625a21996a6654e5 -> trunk/b9003ed3d87699e81e436719625a21996a6654e5 2025-08-14T21:22:30.7814979Z * [new tag] trunk/b90feeac86bda00afc2789321bcd706015ff44e3 -> trunk/b90feeac86bda00afc2789321bcd706015ff44e3 2025-08-14T21:22:30.7816021Z * [new tag] trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8 -> trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8 2025-08-14T21:22:30.7816760Z * [new tag] trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4 -> trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4 2025-08-14T21:22:30.7817443Z * [new tag] trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491 -> trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491 2025-08-14T21:22:30.7818268Z * [new tag] trunk/bcf23ecc476df2bd7479f142567213e2623308ee -> trunk/bcf23ecc476df2bd7479f142567213e2623308ee 2025-08-14T21:22:30.7819007Z * [new tag] trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff -> trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff 2025-08-14T21:22:30.7820316Z * [new tag] trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941 -> trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941 2025-08-14T21:22:30.7825170Z * [new tag] trunk/bfc873d02ec413344717493e4175a902921359fd -> trunk/bfc873d02ec413344717493e4175a902921359fd 2025-08-14T21:22:30.7825451Z * [new tag] trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca -> trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca 2025-08-14T21:22:30.7825741Z * [new tag] trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431 -> trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431 2025-08-14T21:22:30.7826072Z * [new tag] trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4 -> trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4 2025-08-14T21:22:30.7826361Z * [new tag] trunk/c5ec5458a547f7a774468ea0eb2258d3de596492 -> trunk/c5ec5458a547f7a774468ea0eb2258d3de596492 2025-08-14T21:22:30.7826698Z * [new tag] trunk/c5efc5c8a66eca84865015058b3221013ebfe685 -> trunk/c5efc5c8a66eca84865015058b3221013ebfe685 2025-08-14T21:22:30.7826972Z * [new tag] trunk/c6563341208003f64c131854a9cf029555f786d2 -> trunk/c6563341208003f64c131854a9cf029555f786d2 2025-08-14T21:22:30.7827260Z * [new tag] trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e -> trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e 2025-08-14T21:22:30.7827644Z * [new tag] trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23 -> trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23 2025-08-14T21:22:30.7828621Z * [new tag] trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5 -> trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5 2025-08-14T21:22:30.7829350Z * [new tag] trunk/c86040a8e68f754b90a84099187d3624954c7f36 -> trunk/c86040a8e68f754b90a84099187d3624954c7f36 2025-08-14T21:22:30.7830095Z * [new tag] trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4 -> trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4 2025-08-14T21:22:30.7831249Z * [new tag] trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9 -> trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9 2025-08-14T21:22:30.7832002Z * [new tag] trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff -> trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff 2025-08-14T21:22:30.7832803Z * [new tag] trunk/cbffde774557752cf20447d42d99ec6102673c31 -> trunk/cbffde774557752cf20447d42d99ec6102673c31 2025-08-14T21:22:30.7833563Z * [new tag] trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc -> trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc 2025-08-14T21:22:30.7834349Z * [new tag] trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf -> trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf 2025-08-14T21:22:30.7835110Z * [new tag] trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81 -> trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81 2025-08-14T21:22:30.7844055Z * [new tag] trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0 -> trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0 2025-08-14T21:22:30.7844451Z * [new tag] trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2 -> trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2 2025-08-14T21:22:30.7844850Z * [new tag] trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3 -> trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3 2025-08-14T21:22:30.7845235Z * [new tag] trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c -> trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c 2025-08-14T21:22:30.7845639Z * [new tag] trunk/d3d359dbafa89173a371e2637f22b47398e94a24 -> trunk/d3d359dbafa89173a371e2637f22b47398e94a24 2025-08-14T21:22:30.7846036Z * [new tag] trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1 -> trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1 2025-08-14T21:22:30.7846324Z * [new tag] trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f -> trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f 2025-08-14T21:22:30.7846607Z * [new tag] trunk/d556586448f3caab85673c7da0978fe31c7748f7 -> trunk/d556586448f3caab85673c7da0978fe31c7748f7 2025-08-14T21:22:30.7847133Z * [new tag] trunk/d670304001429a1a833255a918ed788d7ec4989a -> trunk/d670304001429a1a833255a918ed788d7ec4989a 2025-08-14T21:22:30.7847890Z * [new tag] trunk/d6786741a77aba200c78002646cc069b7a1799b0 -> trunk/d6786741a77aba200c78002646cc069b7a1799b0 2025-08-14T21:22:30.7848912Z * [new tag] trunk/d68c323692dedcbb74e670801e3502944fd790ff -> trunk/d68c323692dedcbb74e670801e3502944fd790ff 2025-08-14T21:22:30.7849773Z * [new tag] trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c -> trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c 2025-08-14T21:22:30.7858376Z * [new tag] trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd -> trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd 2025-08-14T21:22:30.7858788Z * [new tag] trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35 -> trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35 2025-08-14T21:22:30.7859180Z * [new tag] trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4 -> trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4 2025-08-14T21:22:30.7859557Z * [new tag] trunk/db763b17175553ba09637362eb9773a91997a7ad -> trunk/db763b17175553ba09637362eb9773a91997a7ad 2025-08-14T21:22:30.7859954Z * [new tag] trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f -> trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f 2025-08-14T21:22:30.7860355Z * [new tag] trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd -> trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd 2025-08-14T21:22:30.7860702Z * [new tag] trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8 -> trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8 2025-08-14T21:22:30.7860988Z * [new tag] trunk/deea71a90e05eb320c04bebfead5317746637f0d -> trunk/deea71a90e05eb320c04bebfead5317746637f0d 2025-08-14T21:22:30.7861269Z * [new tag] trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948 -> trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948 2025-08-14T21:22:30.7861553Z * [new tag] trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df -> trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df 2025-08-14T21:22:30.7861828Z * [new tag] trunk/e248719ac03c103767ab72034f6b9fd56855bf98 -> trunk/e248719ac03c103767ab72034f6b9fd56855bf98 2025-08-14T21:22:30.7862112Z * [new tag] trunk/e49762026070f66be41bfa6537fbcf9bfc24e558 -> trunk/e49762026070f66be41bfa6537fbcf9bfc24e558 2025-08-14T21:22:30.7862396Z * [new tag] trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168 -> trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168 2025-08-14T21:22:30.7862685Z * [new tag] trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f -> trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f 2025-08-14T21:22:30.7863063Z * [new tag] trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58 -> trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58 2025-08-14T21:22:30.7863344Z * [new tag] trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3 -> trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3 2025-08-14T21:22:30.7863814Z * [new tag] trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a -> trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a 2025-08-14T21:22:30.7872823Z * [new tag] trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c -> trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c 2025-08-14T21:22:30.7873722Z * [new tag] trunk/eac2d9d695a32dd456050f45cac35134ec3809f4 -> trunk/eac2d9d695a32dd456050f45cac35134ec3809f4 2025-08-14T21:22:30.7874415Z * [new tag] trunk/ecde76c764752540edf9ef62a97936c86d984b17 -> trunk/ecde76c764752540edf9ef62a97936c86d984b17 2025-08-14T21:22:30.7875064Z * [new tag] trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b -> trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b 2025-08-14T21:22:30.7875894Z * [new tag] trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb -> trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb 2025-08-14T21:22:30.7876644Z * [new tag] trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2 -> trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2 2025-08-14T21:22:30.7877431Z * [new tag] trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e -> trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e 2025-08-14T21:22:30.7878379Z * [new tag] trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c -> trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c 2025-08-14T21:22:30.7883247Z * [new tag] trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c -> trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c 2025-08-14T21:22:30.7883624Z * [new tag] trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76 -> trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76 2025-08-14T21:22:30.7883909Z * [new tag] trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94 -> trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94 2025-08-14T21:22:30.7884194Z * [new tag] trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35 -> trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35 2025-08-14T21:22:30.7884478Z * [new tag] trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640 -> trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640 2025-08-14T21:22:30.7884757Z * [new tag] trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5 -> trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5 2025-08-14T21:22:30.7885043Z * [new tag] trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc -> trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc 2025-08-14T21:22:30.7885389Z * [new tag] trunk/f341077ce4710172da20cfad916ee37159bfe9fe -> trunk/f341077ce4710172da20cfad916ee37159bfe9fe 2025-08-14T21:22:30.7886219Z * [new tag] trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7 -> trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7 2025-08-14T21:22:30.7887042Z * [new tag] trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c -> trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c 2025-08-14T21:22:30.7887800Z * [new tag] trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457 -> trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457 2025-08-14T21:22:30.7888546Z * [new tag] trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344 -> trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344 2025-08-14T21:22:30.7889563Z * [new tag] trunk/f8f0414a5983ff481a2188e0c18594150430c8c5 -> trunk/f8f0414a5983ff481a2188e0c18594150430c8c5 2025-08-14T21:22:30.7890167Z * [new tag] trunk/f95b58c2844b3444cd8446fed8570729dc4216eb -> trunk/f95b58c2844b3444cd8446fed8570729dc4216eb 2025-08-14T21:22:30.7890993Z * [new tag] trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d -> trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d 2025-08-14T21:22:30.7891771Z * [new tag] trunk/fb887c3bb588cfe782615e67f6c26db636b8539b -> trunk/fb887c3bb588cfe782615e67f6c26db636b8539b 2025-08-14T21:22:30.7901721Z * [new tag] trunk/fc25c68f20f772290927a7031b998b92615259cf -> trunk/fc25c68f20f772290927a7031b998b92615259cf 2025-08-14T21:22:30.7902125Z * [new tag] trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb -> trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb 2025-08-14T21:22:30.7902515Z * [new tag] trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb -> trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb 2025-08-14T21:22:30.7902912Z * [new tag] trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08 -> trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08 2025-08-14T21:22:30.7903300Z * [new tag] trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab -> trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab 2025-08-14T21:22:30.7903707Z * [new tag] trunk/ff0d56d03592aa03f3ced8359241d21df1783393 -> trunk/ff0d56d03592aa03f3ced8359241d21df1783393 2025-08-14T21:22:30.7903865Z * [new tag] v0.1.1 -> v0.1.1 2025-08-14T21:22:30.7904011Z * [new tag] v0.1.10 -> v0.1.10 2025-08-14T21:22:30.7904157Z * [new tag] v0.1.11 -> v0.1.11 2025-08-14T21:22:30.7904286Z * [new tag] v0.1.12 -> v0.1.12 2025-08-14T21:22:30.7904403Z * [new tag] v0.1.2 -> v0.1.2 2025-08-14T21:22:30.7904517Z * [new tag] v0.1.3 -> v0.1.3 2025-08-14T21:22:30.7904629Z * [new tag] v0.1.4 -> v0.1.4 2025-08-14T21:22:30.7904740Z * [new tag] v0.1.5 -> v0.1.5 2025-08-14T21:22:30.7904845Z * [new tag] v0.1.6 -> v0.1.6 2025-08-14T21:22:30.7904998Z * [new tag] v0.1.7 -> v0.1.7 2025-08-14T21:22:30.7905123Z * [new tag] v0.1.8 -> v0.1.8 2025-08-14T21:22:30.7905474Z * [new tag] v0.1.9 -> v0.1.9 2025-08-14T21:22:30.7906533Z * [new tag] v0.2.0 -> v0.2.0 2025-08-14T21:22:30.7907387Z * [new tag] v0.3.0 -> v0.3.0 2025-08-14T21:22:30.7914808Z * [new tag] v0.3.1 -> v0.3.1 2025-08-14T21:22:30.7915484Z * [new tag] v0.4.0 -> v0.4.0 2025-08-14T21:22:30.7916221Z * [new tag] v0.4.1 -> v0.4.1 2025-08-14T21:22:30.7916919Z * [new tag] v1.0.0 -> v1.0.0 2025-08-14T21:22:30.7917786Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-08-14T21:22:30.7918449Z * [new tag] v1.0.1 -> v1.0.1 2025-08-14T21:22:30.7919321Z * [new tag] v1.0rc0 -> v1.0rc0 2025-08-14T21:22:30.7919721Z * [new tag] v1.0rc1 -> v1.0rc1 2025-08-14T21:22:30.7920485Z * [new tag] v1.1.0 -> v1.1.0 2025-08-14T21:22:30.7921255Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-08-14T21:22:30.7922206Z * [new tag] v1.10.0 -> v1.10.0 2025-08-14T21:22:30.7930697Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-08-14T21:22:30.7930864Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-08-14T21:22:30.7935027Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-08-14T21:22:30.7935196Z * [new tag] v1.10.1 -> v1.10.1 2025-08-14T21:22:30.7935331Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-08-14T21:22:30.7935461Z * [new tag] v1.10.2 -> v1.10.2 2025-08-14T21:22:30.7935681Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-08-14T21:22:30.7935806Z * [new tag] v1.11.0 -> v1.11.0 2025-08-14T21:22:30.7935923Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-08-14T21:22:30.7936050Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-08-14T21:22:30.7936164Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-08-14T21:22:30.7936287Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-08-14T21:22:30.7936409Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-08-14T21:22:30.7936523Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-08-14T21:22:30.7936792Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-08-14T21:22:30.7936909Z * [new tag] v1.12.0 -> v1.12.0 2025-08-14T21:22:30.7937106Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-08-14T21:22:30.7937229Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-08-14T21:22:30.7937345Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-08-14T21:22:30.7937501Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-08-14T21:22:30.7941988Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-08-14T21:22:30.7942674Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-08-14T21:22:30.7943224Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-08-14T21:22:30.7943808Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-08-14T21:22:30.7944369Z * [new tag] v1.12.1 -> v1.12.1 2025-08-14T21:22:30.7945388Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-08-14T21:22:30.7946044Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-08-14T21:22:30.7946975Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-08-14T21:22:30.7947774Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-08-14T21:22:30.7948343Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-08-14T21:22:30.7949130Z * [new tag] v1.13.0 -> v1.13.0 2025-08-14T21:22:30.7949799Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-08-14T21:22:30.7950627Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-08-14T21:22:30.7955701Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-08-14T21:22:30.7955823Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-08-14T21:22:30.7955950Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-08-14T21:22:30.7956078Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-08-14T21:22:30.7956195Z * [new tag] v1.13.1 -> v1.13.1 2025-08-14T21:22:30.7956309Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-08-14T21:22:30.7956438Z * [new tag] v1.2.0 -> v1.2.0 2025-08-14T21:22:30.7956750Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-08-14T21:22:30.7957533Z * [new tag] v1.3.0 -> v1.3.0 2025-08-14T21:22:30.7958206Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-08-14T21:22:30.7958812Z * [new tag] v1.3.1 -> v1.3.1 2025-08-14T21:22:30.7959479Z * [new tag] v1.4.0 -> v1.4.0 2025-08-14T21:22:30.7960269Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-08-14T21:22:30.7960798Z * [new tag] v1.4.1 -> v1.4.1 2025-08-14T21:22:30.7961650Z * [new tag] v1.5.0 -> v1.5.0 2025-08-14T21:22:30.7962493Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-08-14T21:22:30.7963112Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-08-14T21:22:30.7963986Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-08-14T21:22:30.7965087Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-08-14T21:22:30.7971972Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-08-14T21:22:30.7974270Z * [new tag] v1.5.1 -> v1.5.1 2025-08-14T21:22:30.7974416Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-08-14T21:22:30.7974550Z * [new tag] v1.6.0 -> v1.6.0 2025-08-14T21:22:30.7974692Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-08-14T21:22:30.7974848Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-08-14T21:22:30.7974986Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-08-14T21:22:30.7975543Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-08-14T21:22:30.7976276Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-08-14T21:22:30.7977083Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-08-14T21:22:30.7977590Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-08-14T21:22:30.7978399Z * [new tag] v1.7.0 -> v1.7.0 2025-08-14T21:22:30.7979090Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-08-14T21:22:30.7979973Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-08-14T21:22:30.7984552Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-08-14T21:22:30.7984688Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-08-14T21:22:30.7984798Z * [new tag] v1.7.1 -> v1.7.1 2025-08-14T21:22:30.7984918Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-08-14T21:22:30.7985031Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-08-14T21:22:30.7985143Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-08-14T21:22:30.7985265Z * [new tag] v1.8.0 -> v1.8.0 2025-08-14T21:22:30.7985714Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-08-14T21:22:30.7986547Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-08-14T21:22:30.7987432Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-08-14T21:22:30.7988077Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-08-14T21:22:30.7988645Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-08-14T21:22:30.7989225Z * [new tag] v1.8.1 -> v1.8.1 2025-08-14T21:22:30.7990064Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-08-14T21:22:30.7990613Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-08-14T21:22:30.7991171Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-08-14T21:22:30.7992391Z * [new tag] v1.8.2 -> v1.8.2 2025-08-14T21:22:30.7992952Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-08-14T21:22:30.7993734Z * [new tag] v1.9.0 -> v1.9.0 2025-08-14T21:22:30.7994369Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-08-14T21:22:30.7999669Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-08-14T21:22:30.8000494Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-08-14T21:22:30.8000992Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-08-14T21:22:30.8001836Z * [new tag] v1.9.1 -> v1.9.1 2025-08-14T21:22:30.8002841Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-08-14T21:22:30.8003418Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-08-14T21:22:30.8004241Z * [new tag] v2.0.0 -> v2.0.0 2025-08-14T21:22:30.8004961Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-08-14T21:22:30.8005751Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-08-14T21:22:30.8006563Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-08-14T21:22:30.8007311Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-08-14T21:22:30.8008111Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-08-14T21:22:30.8008637Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-08-14T21:22:30.8017712Z * [new tag] v2.0.1 -> v2.0.1 2025-08-14T21:22:30.8017854Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-08-14T21:22:30.8017997Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-08-14T21:22:30.8018133Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-08-14T21:22:30.8018273Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-08-14T21:22:30.8018406Z * [new tag] v2.1.0 -> v2.1.0 2025-08-14T21:22:30.8018541Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-08-14T21:22:30.8018686Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-08-14T21:22:30.8018824Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-08-14T21:22:30.8019016Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-08-14T21:22:30.8019165Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-08-14T21:22:30.8019296Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-08-14T21:22:30.8019436Z * [new tag] v2.1.1 -> v2.1.1 2025-08-14T21:22:30.8019571Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-08-14T21:22:30.8020059Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-08-14T21:22:30.8020950Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-08-14T21:22:30.8022066Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-08-14T21:22:30.8022853Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-08-14T21:22:30.8023327Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-08-14T21:22:30.8032686Z * [new tag] v2.1.2 -> v2.1.2 2025-08-14T21:22:30.8033489Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-08-14T21:22:30.8034337Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-08-14T21:22:30.8034990Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-08-14T21:22:30.8035803Z * [new tag] v2.2.0 -> v2.2.0 2025-08-14T21:22:30.8036550Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-08-14T21:22:30.8037239Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-08-14T21:22:30.8037996Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-08-14T21:22:30.8042685Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-08-14T21:22:30.8042824Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-08-14T21:22:30.8042971Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-08-14T21:22:30.8043177Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-08-14T21:22:30.8043296Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-08-14T21:22:30.8043407Z * [new tag] v2.2.1 -> v2.2.1 2025-08-14T21:22:30.8043530Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-08-14T21:22:30.8043706Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-08-14T21:22:30.8044301Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-08-14T21:22:30.8044861Z * [new tag] v2.2.2 -> v2.2.2 2025-08-14T21:22:30.8045857Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-08-14T21:22:30.8046359Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-08-14T21:22:30.8046933Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-08-14T21:22:30.8047808Z * [new tag] v2.3.0 -> v2.3.0 2025-08-14T21:22:30.8048527Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-08-14T21:22:30.8049360Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-08-14T21:22:30.8050183Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-08-14T21:22:30.8050783Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-08-14T21:22:30.8051466Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-08-14T21:22:30.8052243Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-08-14T21:22:30.8057144Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-08-14T21:22:30.8057262Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-08-14T21:22:30.8057380Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-08-14T21:22:30.8057595Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-08-14T21:22:30.8058021Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-08-14T21:22:30.8058583Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-08-14T21:22:30.8059167Z * [new tag] v2.3.1 -> v2.3.1 2025-08-14T21:22:30.8061421Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-08-14T21:22:30.8061607Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-08-14T21:22:30.8061899Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-08-14T21:22:30.8062309Z * [new tag] v2.4.0 -> v2.4.0 2025-08-14T21:22:30.8063115Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-08-14T21:22:30.8063764Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-08-14T21:22:30.8064578Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-08-14T21:22:30.8065229Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-08-14T21:22:30.8066111Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-08-14T21:22:30.8066979Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-08-14T21:22:30.8074175Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-08-14T21:22:30.8074835Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-08-14T21:22:30.8075690Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-08-14T21:22:30.8076220Z * [new tag] v2.4.1 -> v2.4.1 2025-08-14T21:22:30.8077118Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-08-14T21:22:30.8077887Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-08-14T21:22:30.8078695Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-08-14T21:22:30.8079403Z * [new tag] v2.5.0 -> v2.5.0 2025-08-14T21:22:30.8080173Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-08-14T21:22:30.8080755Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-08-14T21:22:30.8081548Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-08-14T21:22:30.8086000Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-08-14T21:22:30.8086113Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-08-14T21:22:30.8086232Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-08-14T21:22:30.8086345Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-08-14T21:22:30.8086464Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-08-14T21:22:30.8086717Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-08-14T21:22:30.8090117Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-08-14T21:22:30.8090266Z * [new tag] v2.5.1 -> v2.5.1 2025-08-14T21:22:30.8090421Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-08-14T21:22:30.8090551Z * [new tag] v2.6.0 -> v2.6.0 2025-08-14T21:22:30.8090694Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-08-14T21:22:30.8090981Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-08-14T21:22:30.8091876Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-08-14T21:22:30.8092657Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-08-14T21:22:30.8093597Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-08-14T21:22:30.8094503Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-08-14T21:22:30.8095281Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-08-14T21:22:30.8098307Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-08-14T21:22:30.8101397Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-08-14T21:22:30.8102300Z * [new tag] v2.7.0 -> v2.7.0 2025-08-14T21:22:30.8103081Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-08-14T21:22:30.8103696Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-08-14T21:22:30.8104553Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-08-14T21:22:30.8105399Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-08-14T21:22:30.8106088Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-08-14T21:22:30.8107016Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-08-14T21:22:30.8107709Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-08-14T21:22:30.8108875Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-08-14T21:22:30.8109665Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-08-14T21:22:30.8110596Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-08-14T21:22:30.8115041Z * [new tag] v2.7.1 -> v2.7.1 2025-08-14T21:22:30.8115189Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-08-14T21:22:30.8115331Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-08-14T21:22:30.8115449Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-08-14T21:22:30.8115563Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-08-14T21:22:30.8115677Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-08-14T21:22:30.8115939Z * [new tag] v2.8.0 -> v2.8.0 2025-08-14T21:22:30.8116750Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-08-14T21:22:30.8117443Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-08-14T21:22:30.8118335Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-08-14T21:22:30.8119136Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-08-14T21:22:30.8119942Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-08-14T21:22:30.8120728Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-08-14T21:22:30.8121567Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-08-14T21:22:30.8122335Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-08-14T21:22:30.8123019Z * [new tag] whc_flight_1 -> whc_flight_1 2025-08-14T21:22:30.8123638Z * [new tag] whc_flight_2 -> whc_flight_2 2025-08-14T21:22:30.8124317Z * [new tag] whc_flight_4 -> whc_flight_4 2025-08-14T21:22:30.8887916Z [command]/usr/bin/git rev-parse --verify --quiet 1fc683cf17c8c673044538d10266c00f92987be2^{object} 2025-08-14T21:22:30.8917291Z 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:22:30.8919838Z ##[endgroup] 2025-08-14T21:22:30.8920072Z ##[group]Determining the checkout info 2025-08-14T21:22:30.8921046Z ##[endgroup] 2025-08-14T21:22:30.8926975Z [command]/usr/bin/git sparse-checkout disable 2025-08-14T21:22:30.8977578Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-08-14T21:22:30.9015086Z ##[group]Checking out the ref 2025-08-14T21:22:30.9018238Z [command]/usr/bin/git checkout --progress --force 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:22:31.9241094Z Updating files: 79% (15578/19474) 2025-08-14T21:22:31.9535284Z Updating files: 80% (15580/19474) 2025-08-14T21:22:31.9859854Z Updating files: 81% (15774/19474) 2025-08-14T21:22:32.0081617Z Updating files: 82% (15969/19474) 2025-08-14T21:22:32.0229063Z Updating files: 83% (16164/19474) 2025-08-14T21:22:32.0371663Z Updating files: 84% (16359/19474) 2025-08-14T21:22:32.0531173Z Updating files: 85% (16553/19474) 2025-08-14T21:22:32.0685637Z Updating files: 86% (16748/19474) 2025-08-14T21:22:32.0823962Z Updating files: 87% (16943/19474) 2025-08-14T21:22:32.0954070Z Updating files: 88% (17138/19474) 2025-08-14T21:22:32.1087403Z Updating files: 89% (17332/19474) 2025-08-14T21:22:32.1270563Z Updating files: 90% (17527/19474) 2025-08-14T21:22:32.1404999Z Updating files: 91% (17722/19474) 2025-08-14T21:22:32.1547773Z Updating files: 92% (17917/19474) 2025-08-14T21:22:32.1746063Z Updating files: 93% (18111/19474) 2025-08-14T21:22:32.1952807Z Updating files: 94% (18306/19474) 2025-08-14T21:22:32.2151599Z Updating files: 95% (18501/19474) 2025-08-14T21:22:32.2319521Z Updating files: 96% (18696/19474) 2025-08-14T21:22:32.2503083Z Updating files: 97% (18890/19474) 2025-08-14T21:22:32.2822516Z Updating files: 98% (19085/19474) 2025-08-14T21:22:32.2985851Z Updating files: 99% (19280/19474) 2025-08-14T21:22:32.2986121Z Updating files: 100% (19474/19474) 2025-08-14T21:22:32.2986391Z Updating files: 100% (19474/19474), done. 2025-08-14T21:22:32.3291708Z Note: switching to '1fc683cf17c8c673044538d10266c00f92987be2'. 2025-08-14T21:22:32.3296687Z 2025-08-14T21:22:32.3296875Z You are in 'detached HEAD' state. You can look around, make experimental 2025-08-14T21:22:32.3297276Z changes and commit them, and you can discard any commits you make in this 2025-08-14T21:22:32.3297689Z state without impacting any branches by switching back to a branch. 2025-08-14T21:22:32.3297937Z 2025-08-14T21:22:32.3298099Z If you want to create a new branch to retain commits you create, you may 2025-08-14T21:22:32.3298472Z do so (now or later) by using -c with the switch command. Example: 2025-08-14T21:22:32.3298683Z 2025-08-14T21:22:32.3298780Z git switch -c 2025-08-14T21:22:32.3298947Z 2025-08-14T21:22:32.3299048Z Or undo this operation with: 2025-08-14T21:22:32.3299402Z 2025-08-14T21:22:32.3299490Z git switch - 2025-08-14T21:22:32.3299602Z 2025-08-14T21:22:32.3299795Z Turn off this advice by setting config variable advice.detachedHead to false 2025-08-14T21:22:32.3300052Z 2025-08-14T21:22:32.3300354Z HEAD is now at 1fc683cf17c [Inductor] Allow indexing a flexible layout for extract_input_node_reduction_ranges (#160645) 2025-08-14T21:22:32.3369187Z ##[endgroup] 2025-08-14T21:22:32.3369523Z ##[group]Setting up auth for fetching submodules 2025-08-14T21:22:32.3378979Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-08-14T21:22:32.3421223Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-08-14T21:22:32.3449338Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-08-14T21:22:32.3477610Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-08-14T21:22:32.3505973Z ##[endgroup] 2025-08-14T21:22:32.3506312Z ##[group]Fetching submodules 2025-08-14T21:22:32.3509351Z [command]/usr/bin/git submodule sync --recursive 2025-08-14T21:22:32.3839317Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-08-14T21:22:32.4183112Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-08-14T21:22:32.4185531Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-08-14T21:22:32.4188075Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-08-14T21:22:32.4190857Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-08-14T21:22:32.4199567Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-08-14T21:22:32.4202105Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-08-14T21:22:32.4204612Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-08-14T21:22:32.4210738Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-08-14T21:22:32.4211398Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-08-14T21:22:32.4214600Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-08-14T21:22:32.4218242Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-08-14T21:22:32.4226122Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-08-14T21:22:32.4230053Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-08-14T21:22:32.4233379Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-08-14T21:22:32.4239752Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-08-14T21:22:32.4241714Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-08-14T21:22:32.4246762Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-08-14T21:22:32.4255369Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-08-14T21:22:32.4259760Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:22:32.4267759Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-08-14T21:22:32.4273015Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-08-14T21:22:32.4273805Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-08-14T21:22:32.4276518Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-08-14T21:22:32.4289708Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-08-14T21:22:32.4297356Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-08-14T21:22:32.4301165Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-08-14T21:22:32.4305560Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-08-14T21:22:32.4314406Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-08-14T21:22:32.4315789Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-08-14T21:22:32.4320402Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-08-14T21:22:32.4330074Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-08-14T21:22:32.4334964Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-08-14T21:22:32.4341633Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-08-14T21:22:32.4346847Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-08-14T21:22:32.4357311Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-08-14T21:22:32.4362621Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-08-14T21:22:32.4370307Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-08-14T21:22:32.4430278Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-08-14T21:22:32.7419981Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-08-14T21:22:32.7421088Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-08-14T21:22:32.7422242Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-08-14T21:22:32.7423276Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-08-14T21:22:32.7424301Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-08-14T21:22:32.7428462Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-08-14T21:22:32.7941678Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-08-14T21:22:32.9805536Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-08-14T21:22:32.9806093Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-08-14T21:22:32.9806600Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-08-14T21:22:32.9807636Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-08-14T21:22:32.9811623Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-08-14T21:22:32.9814595Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-08-14T21:22:32.9815672Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-08-14T21:22:32.9816635Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-08-14T21:22:33.0806631Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-08-14T21:22:34.4498440Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-08-14T21:22:34.4499046Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-08-14T21:22:34.4499614Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-08-14T21:22:34.4500163Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-08-14T21:22:34.4500664Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-08-14T21:22:34.4501171Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-08-14T21:22:34.4501684Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-08-14T21:22:34.4502216Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-08-14T21:22:34.4502731Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-08-14T21:22:34.4663123Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-08-14T21:22:46.2128918Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-08-14T21:22:46.2133821Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-08-14T21:22:46.2134327Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-08-14T21:22:46.2134829Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-08-14T21:22:46.2135325Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-08-14T21:22:46.2135855Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-08-14T21:22:46.2136383Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-08-14T21:22:46.2136923Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-08-14T21:22:46.2137465Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-08-14T21:22:46.2137980Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-08-14T21:22:46.2303232Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-08-14T21:22:46.2453039Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-08-14T21:22:46.2556597Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-08-14T21:22:46.2845736Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-08-14T21:22:46.3722650Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-08-14T21:22:46.4348726Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-08-14T21:22:47.2419506Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-08-14T21:22:47.4089921Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-08-14T21:22:47.4113876Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:22:47.4144944Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-08-14T21:22:50.7411295Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-08-14T21:22:50.7681178Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-08-14T21:22:51.1235555Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-08-14T21:22:51.1856874Z Submodule path 'third_party/cpp-httplib': checked out '3af7f2c16147f3fbc6e4d717032daf505dc1652c' 2025-08-14T21:22:51.2959107Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-08-14T21:22:51.3455027Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-08-14T21:22:52.0534158Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-08-14T21:22:52.2086159Z Submodule path 'third_party/fbgemm': checked out '21c7d30c526c0f1ad873ecc632dca6cfa8a69067' 2025-08-14T21:22:52.2111958Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-08-14T21:22:52.2114003Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:22:52.2116001Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:22:52.2125556Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-08-14T21:22:52.2126835Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-08-14T21:22:52.2128142Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:22:52.2132661Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-08-14T21:22:52.2157227Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-08-14T21:22:53.4273761Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-08-14T21:22:53.4274539Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-08-14T21:22:53.4275163Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-08-14T21:22:53.4275859Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-08-14T21:22:53.5274960Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-08-14T21:22:54.4062313Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-08-14T21:22:59.0574797Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-08-14T21:22:59.3510128Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-08-14T21:22:59.4673763Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-08-14T21:23:00.1600094Z Submodule path 'third_party/fbgemm/external/cutlass': checked out 'b40777404c174b9694a870bff5c13ce6b7f656ad' 2025-08-14T21:23:00.2135902Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-14T21:23:00.2277007Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out 'a4337c69fe0e2552a7b7b0669178926beeed828c' 2025-08-14T21:23:00.3451903Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-08-14T21:23:00.4254394Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-08-14T21:23:00.4272342Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:23:00.4277891Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:23:00.4310315Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-08-14T21:23:03.4302622Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-08-14T21:23:03.7021325Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-08-14T21:23:04.3448871Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-08-14T21:23:04.7480169Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-08-14T21:23:04.7871385Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-08-14T21:23:04.8319953Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-08-14T21:23:04.8604919Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-08-14T21:23:04.9122106Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-14T21:23:04.9266373Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-08-14T21:23:04.9285773Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-08-14T21:23:04.9320057Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-08-14T21:23:15.8782357Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-08-14T21:23:15.9013646Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-08-14T21:23:16.0025626Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-08-14T21:23:16.0042566Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:23:16.0044545Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:23:16.0051155Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:23:16.0080299Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-08-14T21:23:16.7451887Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-08-14T21:23:17.2721576Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-08-14T21:23:17.3659795Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-08-14T21:23:17.3683706Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:23:17.3684820Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:23:17.3685647Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:23:17.3686512Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:23:17.3687751Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:23:17.3690490Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:23:17.3697519Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:23:17.3700396Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:23:17.3726973Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-08-14T21:23:18.5885427Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-08-14T21:23:18.5890608Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-08-14T21:23:18.5891464Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-08-14T21:23:18.5892475Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-08-14T21:23:18.5893321Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-08-14T21:23:18.6886389Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-08-14T21:23:18.7896475Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-08-14T21:23:26.3165545Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-08-14T21:23:26.3369318Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-08-14T21:23:26.3772551Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-08-14T21:23:26.3944542Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-08-14T21:23:26.3965293Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:23:26.3991635Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-08-14T21:23:26.7169041Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-08-14T21:23:26.7397205Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-08-14T21:23:26.7860508Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-08-14T21:23:26.9001427Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-08-14T21:23:26.9200899Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-08-14T21:23:26.9631911Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-08-14T21:23:27.0271377Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-08-14T21:23:27.0763425Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-08-14T21:23:27.1199864Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-08-14T21:23:27.2460794Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-08-14T21:23:27.6984178Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-08-14T21:23:27.7025389Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-08-14T21:23:27.7053243Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-08-14T21:23:28.7151578Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-08-14T21:23:28.7946387Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-08-14T21:23:28.7972982Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:23:28.7975441Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:23:28.7977498Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:23:28.7984168Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:23:28.7987276Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:23:28.7988429Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:23:28.7989410Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:23:28.7990600Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:23:28.8018288Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-08-14T21:23:29.2034122Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-08-14T21:23:29.2035238Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-08-14T21:23:29.2036003Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-08-14T21:23:29.2036823Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-08-14T21:23:29.3031670Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-08-14T21:23:29.8208147Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-08-14T21:23:35.8783610Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-08-14T21:23:36.5728822Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-08-14T21:23:36.6185771Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-08-14T21:23:36.6380521Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-08-14T21:23:36.7580232Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-08-14T21:23:36.7722430Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-08-14T21:23:36.7902948Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-08-14T21:23:36.8170623Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-08-14T21:23:36.8189705Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:23:36.8192227Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:23:36.8220996Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-08-14T21:23:38.5641423Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'... 2025-08-14T21:23:38.8435239Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-08-14T21:23:38.8965132Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-08-14T21:23:39.4247463Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-08-14T21:23:39.4373443Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-08-14T21:23:39.7402981Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a' 2025-08-14T21:23:39.7436031Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:23:39.7436921Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest' 2025-08-14T21:23:39.7455534Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'... 2025-08-14T21:23:40.2728807Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'... 2025-08-14T21:23:40.6813581Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8' 2025-08-14T21:23:40.7614439Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081' 2025-08-14T21:23:40.7715641Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900' 2025-08-14T21:23:40.7850023Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8' 2025-08-14T21:23:40.8263107Z Submodule path 'third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-08-14T21:23:40.8581658Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67' 2025-08-14T21:23:40.9052014Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68' 2025-08-14T21:23:40.9355630Z Submodule path 'third_party/tensorpipe': checked out 'dacda0567d9f23d4bc503e1c4f84aa65f33ac38a' 2025-08-14T21:23:40.9383242Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:23:40.9384230Z Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:23:40.9384989Z Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:23:40.9385801Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:23:40.9412585Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/googletest'... 2025-08-14T21:23:41.8695621Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libnop'... 2025-08-14T21:23:41.8697072Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11'... 2025-08-14T21:23:41.9695815Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libuv'... 2025-08-14T21:23:42.1486967Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' 2025-08-14T21:23:42.1665060Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281' 2025-08-14T21:23:42.2493179Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b' 2025-08-14T21:23:42.2821348Z Submodule 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file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config remote.origin.url 2025-08-14T21:23:44.0659906Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:23:44.0720067Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config remote.origin.url 2025-08-14T21:23:44.1509171Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:' 2025-08-14T21:23:44.1849239Z Entering 'android/libs/fbjni' 2025-08-14T21:23:44.1889958Z Entering 'third_party/FP16' 2025-08-14T21:23:44.1935397Z Entering 'third_party/FXdiv' 2025-08-14T21:23:44.1975029Z Entering 'third_party/NNPACK' 2025-08-14T21:23:44.2019308Z Entering 'third_party/NVTX' 2025-08-14T21:23:44.2067712Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T21:23:44.2120903Z Entering 'third_party/XNNPACK' 2025-08-14T21:23:44.2180302Z Entering 'third_party/aiter' 2025-08-14T21:23:44.2230155Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:23:44.2283162Z Entering 'third_party/benchmark' 2025-08-14T21:23:44.2326743Z Entering 'third_party/composable_kernel' 2025-08-14T21:23:44.2385612Z Entering 'third_party/cpp-httplib' 2025-08-14T21:23:44.2424799Z Entering 'third_party/cpuinfo' 2025-08-14T21:23:44.2465565Z Entering 'third_party/cudnn_frontend' 2025-08-14T21:23:44.2517119Z Entering 'third_party/cutlass' 2025-08-14T21:23:44.2578948Z Entering 'third_party/fbgemm' 2025-08-14T21:23:44.2627116Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T21:23:44.2668328Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:23:44.2728330Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:23:44.2765787Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T21:23:44.2820783Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T21:23:44.2874447Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:23:44.2910612Z Entering 'third_party/fbgemm/external/json' 2025-08-14T21:23:44.2954696Z Entering 'third_party/flash-attention' 2025-08-14T21:23:44.2997546Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:23:44.3051465Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:23:44.3111193Z Entering 'third_party/flatbuffers' 2025-08-14T21:23:44.3164879Z Entering 'third_party/fmt' 2025-08-14T21:23:44.3208502Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:23:44.3251100Z Entering 'third_party/gloo' 2025-08-14T21:23:44.3298597Z Entering 'third_party/googletest' 2025-08-14T21:23:44.3341552Z Entering 'third_party/ideep' 2025-08-14T21:23:44.3385104Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T21:23:44.3442469Z Entering 'third_party/ittapi' 2025-08-14T21:23:44.3500891Z Entering 'third_party/kineto' 2025-08-14T21:23:44.3540330Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:23:44.3578006Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:23:44.3621210Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:23:44.3665237Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:23:44.3706818Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:23:44.3758182Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:23:44.3799195Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:23:44.3849613Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:23:44.3892922Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:23:44.3950551Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:23:44.3992008Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:23:44.4041889Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:23:44.4095965Z Entering 'third_party/kleidiai' 2025-08-14T21:23:44.4142241Z Entering 'third_party/mimalloc' 2025-08-14T21:23:44.4186914Z Entering 'third_party/nlohmann' 2025-08-14T21:23:44.4227898Z Entering 'third_party/onnx' 2025-08-14T21:23:44.4284385Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T21:23:44.4332397Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T21:23:44.4377475Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:23:44.4418241Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:23:44.4460209Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:23:44.4501803Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:23:44.4545508Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:23:44.4588016Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:23:44.4631405Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:23:44.4677007Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:23:44.4733727Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:23:44.4781811Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:23:44.4846597Z Entering 'third_party/pocketfft' 2025-08-14T21:23:44.4894478Z Entering 'third_party/protobuf' 2025-08-14T21:23:44.4948386Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:23:44.4994907Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T21:23:44.5040044Z Entering 'third_party/psimd' 2025-08-14T21:23:44.5083119Z Entering 'third_party/pthreadpool' 2025-08-14T21:23:44.5139413Z Entering 'third_party/pybind11' 2025-08-14T21:23:44.5179452Z Entering 'third_party/python-peachpy' 2025-08-14T21:23:44.5225630Z Entering 'third_party/sleef' 2025-08-14T21:23:44.5267893Z Entering 'third_party/tensorpipe' 2025-08-14T21:23:44.5313804Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:23:44.5359084Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:23:44.5399620Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:23:44.5446050Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:23:44.5489238Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:23:44.5549313Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-08-14T21:23:44.5887380Z Entering 'android/libs/fbjni' 2025-08-14T21:23:44.5940703Z Entering 'third_party/FP16' 2025-08-14T21:23:44.5991857Z Entering 'third_party/FXdiv' 2025-08-14T21:23:44.6038406Z Entering 'third_party/NNPACK' 2025-08-14T21:23:44.6082717Z Entering 'third_party/NVTX' 2025-08-14T21:23:44.6135576Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T21:23:44.6173999Z Entering 'third_party/XNNPACK' 2025-08-14T21:23:44.6231447Z Entering 'third_party/aiter' 2025-08-14T21:23:44.6275691Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:23:44.6330006Z Entering 'third_party/benchmark' 2025-08-14T21:23:44.6372806Z Entering 'third_party/composable_kernel' 2025-08-14T21:23:44.6425927Z Entering 'third_party/cpp-httplib' 2025-08-14T21:23:44.6470645Z Entering 'third_party/cpuinfo' 2025-08-14T21:23:44.6516608Z Entering 'third_party/cudnn_frontend' 2025-08-14T21:23:44.6565989Z Entering 'third_party/cutlass' 2025-08-14T21:23:44.6618792Z Entering 'third_party/fbgemm' 2025-08-14T21:23:44.6693171Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T21:23:44.6739383Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:23:44.6796285Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:23:44.6846320Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T21:23:44.6908453Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T21:23:44.6940871Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:23:44.6982508Z Entering 'third_party/fbgemm/external/json' 2025-08-14T21:23:44.7039125Z Entering 'third_party/flash-attention' 2025-08-14T21:23:44.7082254Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:23:44.7136818Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:23:44.7188971Z Entering 'third_party/flatbuffers' 2025-08-14T21:23:44.7236169Z Entering 'third_party/fmt' 2025-08-14T21:23:44.7286300Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:23:44.7327870Z Entering 'third_party/gloo' 2025-08-14T21:23:44.7370047Z Entering 'third_party/googletest' 2025-08-14T21:23:44.7415843Z Entering 'third_party/ideep' 2025-08-14T21:23:44.7464286Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T21:23:44.7517486Z Entering 'third_party/ittapi' 2025-08-14T21:23:44.7562381Z Entering 'third_party/kineto' 2025-08-14T21:23:44.7604583Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:23:44.7648868Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:23:44.7696032Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:23:44.7751617Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:23:44.7797641Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:23:44.7849131Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:23:44.7892057Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:23:44.7947647Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:23:44.7993759Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:23:44.8039377Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:23:44.8086674Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:23:44.8131610Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:23:44.8186100Z Entering 'third_party/kleidiai' 2025-08-14T21:23:44.8233097Z Entering 'third_party/mimalloc' 2025-08-14T21:23:44.8282053Z Entering 'third_party/nlohmann' 2025-08-14T21:23:44.8330293Z Entering 'third_party/onnx' 2025-08-14T21:23:44.8393316Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T21:23:44.8442315Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T21:23:44.8490645Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:23:44.8535725Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:23:44.8576888Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:23:44.8634545Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:23:44.8674616Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:23:44.8721058Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:23:44.8766708Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:23:44.8807367Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:23:44.8850199Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:23:44.8899402Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:23:44.8965825Z Entering 'third_party/pocketfft' 2025-08-14T21:23:44.9011791Z Entering 'third_party/protobuf' 2025-08-14T21:23:44.9061830Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:23:44.9108539Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T21:23:44.9156144Z Entering 'third_party/psimd' 2025-08-14T21:23:44.9200405Z Entering 'third_party/pthreadpool' 2025-08-14T21:23:44.9255956Z Entering 'third_party/pybind11' 2025-08-14T21:23:44.9292603Z Entering 'third_party/python-peachpy' 2025-08-14T21:23:44.9334397Z Entering 'third_party/sleef' 2025-08-14T21:23:44.9386954Z Entering 'third_party/tensorpipe' 2025-08-14T21:23:44.9436432Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:23:44.9488320Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:23:44.9536167Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:23:44.9575662Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:23:44.9623871Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:23:44.9684177Z ##[endgroup] 2025-08-14T21:23:44.9732714Z [command]/usr/bin/git log -1 --format=%H 2025-08-14T21:23:44.9756633Z 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:23:44.9938457Z Prepare all required actions 2025-08-14T21:23:44.9938939Z Getting action download info 2025-08-14T21:23:45.2177669Z ##[group]Run ./.github/actions/setup-linux 2025-08-14T21:23:45.2178063Z env: 2025-08-14T21:23:45.2178246Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:23:45.2178439Z ##[endgroup] 2025-08-14T21:23:45.2213560Z ##[group]Run set -euo pipefail 2025-08-14T21:23:45.2213839Z set -euo pipefail 2025-08-14T21:23:45.2214068Z function get_ec2_metadata() { 2025-08-14T21:23:45.2214350Z  # Pulled from instance metadata endpoint for EC2 2025-08-14T21:23:45.2214829Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-08-14T21:23:45.2215246Z  category=$1 2025-08-14T21:23:45.2215517Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-08-14T21:23:45.2215862Z  runner_name_str=i-0d468e35f2989a8d1 2025-08-14T21:23:45.2216163Z  if [[ -f /.inarc ]]; then 2025-08-14T21:23:45.2216424Z  echo "ARC Runner, no info on ec2 metadata" 2025-08-14T21:23:45.2216715Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-08-14T21:23:45.2217060Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-08-14T21:23:45.2217362Z  else 2025-08-14T21:23:45.2217989Z  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}" 2025-08-14T21:23:45.2218630Z  fi 2025-08-14T21:23:45.2218804Z } 2025-08-14T21:23:45.2218998Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-08-14T21:23:45.2219313Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-08-14T21:23:45.2219796Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-08-14T21:23:45.2220108Z echo "system info $(uname -a)" 2025-08-14T21:23:45.2231018Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:23:45.2231315Z env: 2025-08-14T21:23:45.2231491Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:23:45.2231683Z ##[endgroup] 2025-08-14T21:23:45.2410266Z ami-id: ami-05ffe3c48a9991133 2025-08-14T21:23:45.2521337Z instance-id: i-0d468e35f2989a8d1 2025-08-14T21:23:45.2623322Z instance-type: m4.10xlarge 2025-08-14T21:23:45.2637628Z system info Linux ip-10-0-14-35.ec2.internal 6.1.141-155.222.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 17 10:29:47 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-08-14T21:23:45.2654089Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:23:45.2654783Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:23:45.2664321Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:23:45.2664636Z env: 2025-08-14T21:23:45.2664809Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:23:45.2665009Z ##[endgroup] 2025-08-14T21:23:45.2717658Z ##[group]Run if systemctl is-active --quiet docker; then 2025-08-14T21:23:45.2718001Z if systemctl is-active --quiet docker; then 2025-08-14T21:23:45.2718292Z  echo "Docker daemon is running..."; 2025-08-14T21:23:45.2718531Z else 2025-08-14T21:23:45.2718807Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-08-14T21:23:45.2719420Z fi 2025-08-14T21:23:45.2724280Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:23:45.2724560Z env: 2025-08-14T21:23:45.2724738Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:23:45.2724944Z ##[endgroup] 2025-08-14T21:23:45.2813618Z Docker daemon is running... 2025-08-14T21:23:45.2854685Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-14T21:23:45.2854928Z with: 2025-08-14T21:23:45.2855085Z shell: bash 2025-08-14T21:23:45.2855397Z timeout_minutes: 5 2025-08-14T21:23:45.2855592Z max_attempts: 3 2025-08-14T21:23:45.2855774Z retry_wait_seconds: 30 2025-08-14T21:23:45.2857480Z command: AWS_ACCOUNT_ID=$(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 2025-08-14T21:23:45.2859093Z polling_interval_seconds: 1 2025-08-14T21:23:45.2859316Z warning_on_retry: true 2025-08-14T21:23:45.2859523Z continue_on_error: false 2025-08-14T21:23:45.2863768Z env: 2025-08-14T21:23:45.2863938Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:23:45.2864147Z AWS_RETRY_MODE: standard 2025-08-14T21:23:45.2864395Z AWS_MAX_ATTEMPTS: 5 2025-08-14T21:23:45.2864591Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:23:45.2864806Z ##[endgroup] 2025-08-14T21:23:46.4769287Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:23:46.4769880Z Configure a credential helper to remove this warning. See 2025-08-14T21:23:46.4770317Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:23:46.4770611Z 2025-08-14T21:23:46.4770690Z Login Succeeded 2025-08-14T21:23:47.3825432Z Command completed after 1 attempt(s). 2025-08-14T21:23:47.3882451Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:23:47.3882875Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:23:47.3883336Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:23:47.3893750Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:23:47.3894039Z env: 2025-08-14T21:23:47.3894216Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:23:47.3894411Z ##[endgroup] 2025-08-14T21:23:47.3970196Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:23:47.3970630Z # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:23:47.3970946Z # shellcheck disable=SC2046 2025-08-14T21:23:47.3971207Z docker stop $(docker ps -q) || true 2025-08-14T21:23:47.3971462Z # Prune all of the docker images 2025-08-14T21:23:47.3975869Z docker system prune -af 2025-08-14T21:23:47.3981172Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:23:47.3981454Z env: 2025-08-14T21:23:47.3981628Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:23:47.3981842Z ##[endgroup] 2025-08-14T21:23:47.4558997Z "docker stop" requires at least 1 argument. 2025-08-14T21:23:47.4559347Z See 'docker stop --help'. 2025-08-14T21:23:47.4559526Z 2025-08-14T21:23:47.4559702Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-08-14T21:23:47.4559949Z 2025-08-14T21:23:47.4560043Z Stop one or more running containers 2025-08-14T21:23:47.4793293Z Total reclaimed space: 0B 2025-08-14T21:23:47.4822812Z ##[group]Run set +e 2025-08-14T21:23:47.4823051Z set +e 2025-08-14T21:23:47.4823236Z set -x 2025-08-14T21:23:47.4823405Z  2025-08-14T21:23:47.4823592Z PT_DOMAIN=download.pytorch.org 2025-08-14T21:23:47.4824031Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-08-14T21:23:47.4824584Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-08-14T21:23:47.4824976Z # one is returned at random 2025-08-14T21:23:47.4825285Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-08-14T21:23:47.4825568Z  2025-08-14T21:23:47.4825882Z if [ -z "${RESOLVED_IP}" ]; then 2025-08-14T21:23:47.4826204Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-08-14T21:23:47.4826596Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-08-14T21:23:47.4831372Z  2025-08-14T21:23:47.4831572Z  if [ -z "${RESOLVED_IP}" ]; then 2025-08-14T21:23:47.4831914Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-08-14T21:23:47.4832192Z  exit 1 2025-08-14T21:23:47.4832374Z  fi 2025-08-14T21:23:47.4832539Z fi 2025-08-14T21:23:47.4832701Z  2025-08-14T21:23:47.4832897Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-08-14T21:23:47.4833166Z  # Clean up any old records first 2025-08-14T21:23:47.4833435Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-08-14T21:23:47.4833686Z fi 2025-08-14T21:23:47.4833848Z  2025-08-14T21:23:47.4834080Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-08-14T21:23:47.4834380Z cat /etc/hosts 2025-08-14T21:23:47.4839516Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:23:47.4839790Z env: 2025-08-14T21:23:47.4839962Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:23:47.4840162Z ##[endgroup] 2025-08-14T21:23:47.4864387Z + PT_DOMAIN=download.pytorch.org 2025-08-14T21:23:47.4865181Z ++ dig -4 +short download.pytorch.org 2025-08-14T21:23:47.4865965Z ++ tail -n1 2025-08-14T21:23:47.5618007Z + RESOLVED_IP=18.160.10.22 2025-08-14T21:23:47.5618302Z + '[' -z 18.160.10.22 ']' 2025-08-14T21:23:47.5618578Z + grep -r download.pytorch.org /etc/hosts 2025-08-14T21:23:47.5636058Z + echo '18.160.10.22 download.pytorch.org' 2025-08-14T21:23:47.5636588Z + sudo tee -a /etc/hosts 2025-08-14T21:23:48.0114168Z 18.160.10.22 download.pytorch.org 2025-08-14T21:23:48.0127589Z + cat /etc/hosts 2025-08-14T21:23:48.0139156Z 127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4 2025-08-14T21:23:48.0144085Z ::1 localhost6 localhost6.localdomain6 2025-08-14T21:23:48.0144390Z 18.160.10.22 download.pytorch.org 2025-08-14T21:23:48.0299249Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-08-14T21:23:48.0299623Z with: 2025-08-14T21:23:48.0300254Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:23:48.0300943Z use-custom-docker-registry: true 2025-08-14T21:23:48.0301186Z docker-build-dir: .ci/docker 2025-08-14T21:23:48.0301428Z docker-build-script: ./build.sh 2025-08-14T21:23:48.0301662Z working-directory: . 2025-08-14T21:23:48.0301927Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:23:48.0302232Z force-push: false 2025-08-14T21:23:48.0302497Z env: 2025-08-14T21:23:48.0302732Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:23:48.0302929Z ##[endgroup] 2025-08-14T21:23:48.0319023Z ##[group]Run set -ex 2025-08-14T21:23:48.0319376Z set -ex 2025-08-14T21:23:48.0319636Z  2025-08-14T21:23:48.0320093Z # If the docker build directory or the build script doesn't exist, the action will 2025-08-14T21:23:48.0320583Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-08-14T21:23:48.0321001Z # job could then download the pre-built image as usual 2025-08-14T21:23:48.0321508Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-08-14T21:23:48.0322067Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-08-14T21:23:48.0322311Z else 2025-08-14T21:23:48.0330749Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:23:48.0331212Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:23:48.0331606Z  2025-08-14T21:23:48.0332186Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-08-14T21:23:48.0347895Z  exit 0 2025-08-14T21:23:48.0348109Z fi 2025-08-14T21:23:48.0348295Z  2025-08-14T21:23:48.0348576Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-08-14T21:23:48.0349034Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-08-14T21:23:48.0349431Z  # use it as it is, but first let's extract the tag 2025-08-14T21:23:48.0349803Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-08-14T21:23:48.0350187Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:23:48.0350557Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:23:48.0350868Z else 2025-08-14T21:23:48.0351085Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-08-14T21:23:48.0351378Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-08-14T21:23:48.0351819Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-08-14T21:23:48.0352135Z  fi 2025-08-14T21:23:48.0352480Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-08-14T21:23:48.0352933Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:23:48.0353739Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:23:48.0354328Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:23:48.0354642Z fi 2025-08-14T21:23:48.0361817Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:23:48.0362216Z env: 2025-08-14T21:23:48.0362399Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:23:48.0362601Z REPO_NAME: pytorch 2025-08-14T21:23:48.0363353Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:23:48.0364033Z DOCKER_BUILD_DIR: .ci/docker 2025-08-14T21:23:48.0364257Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-08-14T21:23:48.0364542Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:23:48.0364845Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-08-14T21:23:48.0365073Z CUSTOM_TAG_PREFIX: 2025-08-14T21:23:48.0365256Z ##[endgroup] 2025-08-14T21:23:48.0403676Z + [[ -d .ci/docker ]] 2025-08-14T21:23:48.0403909Z + [[ -f .ci/docker/./build.sh ]] 2025-08-14T21:23:48.0404149Z + [[ true == \t\r\u\e ]] 2025-08-14T21:23:48.0404368Z + echo skip=false 2025-08-14T21:23:48.0405250Z + [[ 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* ]] 2025-08-14T21:23:48.0409009Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:23:48.0409736Z ++ awk -F '[:,]' '{print $2}' 2025-08-14T21:23:48.0520410Z + DOCKER_TAG=pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:23:48.0521299Z + echo docker-tag=pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:23:48.0522393Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:23:48.0547823Z ##[group]Run set +e 2025-08-14T21:23:48.0548063Z set +e 2025-08-14T21:23:48.0548257Z set -x 2025-08-14T21:23:48.0548430Z  2025-08-14T21:23:48.0548593Z login() { 2025-08-14T21:23:48.0548954Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-08-14T21:23:48.0549337Z } 2025-08-14T21:23:48.0549502Z  2025-08-14T21:23:48.0549659Z retry () { 2025-08-14T21:23:48.0549870Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-08-14T21:23:48.0550103Z } 2025-08-14T21:23:48.0550253Z  2025-08-14T21:23:48.0550428Z retry login "${DOCKER_REGISTRY}" 2025-08-14T21:23:48.0550656Z  2025-08-14T21:23:48.0550816Z START_TIME=$(date +%s) 2025-08-14T21:23:48.0551039Z # Wait up to 120 minutes 2025-08-14T21:23:48.0551313Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-08-14T21:23:48.0551673Z  # Check if image already exists, if it does then skip building it 2025-08-14T21:23:48.0552026Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-08-14T21:23:48.0552297Z  exit 0 2025-08-14T21:23:48.0552481Z  fi 2025-08-14T21:23:48.0552646Z  2025-08-14T21:23:48.0552942Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-08-14T21:23:48.0553811Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-08-14T21:23:48.0554299Z  # latter, it will wait for the Docker images to become available before continuing 2025-08-14T21:23:48.0554723Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-08-14T21:23:48.0555096Z  # It's a Docker build job, let's build the image 2025-08-14T21:23:48.0555359Z  break 2025-08-14T21:23:48.0555530Z  else 2025-08-14T21:23:48.0555791Z  # It's a regular build job, wait for the image to become available 2025-08-14T21:23:48.0556235Z  sleep 300 2025-08-14T21:23:48.0556424Z  fi 2025-08-14T21:23:48.0556589Z done 2025-08-14T21:23:48.0556760Z  2025-08-14T21:23:48.0557040Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-08-14T21:23:48.0557543Z # be empty. The default action would be to continue rebuild the image 2025-08-14T21:23:48.0557925Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-08-14T21:23:48.0558262Z  # if we're on the base branch then use the parent commit 2025-08-14T21:23:48.0558564Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-08-14T21:23:48.0558854Z else 2025-08-14T21:23:48.0559110Z  # otherwise we're on a PR, so use the most recent base commit 2025-08-14T21:23:48.0559465Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-08-14T21:23:48.0559723Z fi 2025-08-14T21:23:48.0559883Z  2025-08-14T21:23:48.0560064Z if [[ -z "${MERGE_BASE}" ]]; then 2025-08-14T21:23:48.0560328Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:23:48.0560570Z  2025-08-14T21:23:48.0560915Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-08-14T21:23:48.0561310Z  exit 0 2025-08-14T21:23:48.0561472Z fi 2025-08-14T21:23:48.0561627Z  2025-08-14T21:23:48.0561856Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-08-14T21:23:48.0562338Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-08-14T21:23:48.0562756Z  exit 1 2025-08-14T21:23:48.0562923Z fi 2025-08-14T21:23:48.0563074Z  2025-08-14T21:23:48.0563340Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-08-14T21:23:48.0563813Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-08-14T21:23:48.0564236Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-08-14T21:23:48.0564725Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-08-14T21:23:48.0565271Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-08-14T21:23:48.0565598Z fi 2025-08-14T21:23:48.0565758Z  2025-08-14T21:23:48.0565951Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:23:48.0575239Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:23:48.0575534Z env: 2025-08-14T21:23:48.0575713Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:23:48.0575920Z DOCKER_BUILD_DIR: .ci/docker 2025-08-14T21:23:48.0576186Z BASE_REVISION: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:23:48.0576884Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:23:48.0577773Z DOCKER_TAG: pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:23:48.0578306Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:23:48.0578596Z DOCKER_PUSH: 2025-08-14T21:23:48.0578774Z ##[endgroup] 2025-08-14T21:23:48.0603038Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:23:48.0603457Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:23:48.0603961Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:23:48.0604612Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:23:48.6078915Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:23:48.6079511Z Configure a credential helper to remove this warning. See 2025-08-14T21:23:48.6080007Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:23:48.6080510Z 2025-08-14T21:23:48.6084088Z Login Succeeded 2025-08-14T21:23:48.6099909Z ++ date +%s 2025-08-14T21:23:48.6117128Z + START_TIME=1755206628 2025-08-14T21:23:48.6120096Z ++ date +%s 2025-08-14T21:23:48.6128683Z + [[ 1755199428 -lt 1755206628 ]] 2025-08-14T21:23:48.6129610Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:23:48.8551896Z { 2025-08-14T21:23:48.8552155Z "schemaVersion": 2, 2025-08-14T21:23:48.8552568Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-08-14T21:23:48.8552910Z "config": { 2025-08-14T21:23:48.8553182Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-08-14T21:23:48.8553785Z "size": 30151, 2025-08-14T21:23:48.8554099Z "digest": 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"sha256:9fb73296da6ac15f37f36663bd10afc98abb8a01fb40bff4848de7247d28e018" 2025-08-14T21:23:48.8680070Z }, 2025-08-14T21:23:48.8680215Z { 2025-08-14T21:23:48.8680451Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:23:48.8680750Z "size": 32, 2025-08-14T21:23:48.8681051Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-08-14T21:23:48.8681394Z } 2025-08-14T21:23:48.8681545Z ] 2025-08-14T21:23:48.8681686Z } 2025-08-14T21:23:48.8681850Z + exit 0 2025-08-14T21:23:48.8708508Z ##[group]Run set -eux 2025-08-14T21:23:48.8708728Z set -eux 2025-08-14T21:23:48.8709365Z 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 2025-08-14T21:23:48.8716145Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:23:48.8716487Z env: 2025-08-14T21:23:48.8716861Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:23:48.8717131Z ##[endgroup] 2025-08-14T21:23:48.8761244Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-08-14T21:23:48.8761826Z + jq --raw-output .SecretString 2025-08-14T21:23:48.8768333Z + jq -r .docker_hub_readonly_token 2025-08-14T21:23:48.8770228Z + docker login --username pytorchbot --password-stdin 2025-08-14T21:23:49.4657258Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:23:49.4657883Z Configure a credential helper to remove this warning. See 2025-08-14T21:23:49.4658508Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:23:49.4658849Z 2025-08-14T21:23:49.4658935Z Login Succeeded 2025-08-14T21:23:49.4739431Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-08-14T21:23:49.4739745Z tag=${ECR_DOCKER_IMAGE##*:} 2025-08-14T21:23:49.4740054Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-08-14T21:23:49.4745734Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:23:49.4746032Z env: 2025-08-14T21:23:49.4746201Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:23:49.4746983Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:23:49.4747642Z ##[endgroup] 2025-08-14T21:23:49.4780602Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:23:49.4821578Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-08-14T21:23:49.4821914Z with: 2025-08-14T21:23:49.4822593Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:23:49.4823444Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:23:49.4823739Z env: 2025-08-14T21:23:49.4823913Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:23:49.4824231Z ##[endgroup] 2025-08-14T21:23:49.5144070Z ##[group]Run set -x 2025-08-14T21:23:49.5144296Z set -x 2025-08-14T21:23:49.5144473Z set +e 2025-08-14T21:23:49.5144644Z  2025-08-14T21:23:49.5144805Z login() { 2025-08-14T21:23:49.5145168Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-08-14T21:23:49.5145551Z } 2025-08-14T21:23:49.5145713Z  2025-08-14T21:23:49.5145930Z retry () { 2025-08-14T21:23:49.5146130Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-08-14T21:23:49.5146369Z } 2025-08-14T21:23:49.5146524Z  2025-08-14T21:23:49.5146701Z retry login "${DOCKER_REGISTRY}" 2025-08-14T21:23:49.5146998Z  2025-08-14T21:23:49.5147362Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-08-14T21:23:49.5147847Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-08-14T21:23:49.5148126Z  2025-08-14T21:23:49.5148287Z set -e 2025-08-14T21:23:49.5148548Z # ignore output since only exit code is used for conditional 2025-08-14T21:23:49.5148908Z # only pull docker image if it's not available locally 2025-08-14T21:23:49.5149297Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-08-14T21:23:49.5149671Z  retry docker pull "${DOCKER_IMAGE}" 2025-08-14T21:23:49.5149908Z fi 2025-08-14T21:23:49.5155277Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:23:49.5155564Z env: 2025-08-14T21:23:49.5155741Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:23:49.5164705Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:23:49.5165660Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:23:49.5166026Z ##[endgroup] 2025-08-14T21:23:49.5189500Z + set +e 2025-08-14T21:23:49.5189769Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:23:49.5190170Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:23:49.5192154Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:23:49.5193170Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:23:50.0674004Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:23:50.0674597Z Configure a credential helper to remove this warning. See 2025-08-14T21:23:50.0675172Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:23:50.0675482Z 2025-08-14T21:23:50.0675604Z Login Succeeded 2025-08-14T21:23:50.0704836Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-08-14T21:23:50.0706007Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:23:50.2876980Z + IMAGE_SIZE=27663.483686447144 2025-08-14T21:23:50.2877374Z + echo 'Compressed size of image in MB: 27663.483686447144' 2025-08-14T21:23:50.2877739Z + set -e 2025-08-14T21:23:50.2878618Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:23:50.2879370Z Compressed size of image in MB: 27663.483686447144 2025-08-14T21:23:50.3024770Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:23:50.3025906Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:23:50.5351305Z pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe: Pulling from pytorch/ci-image 2025-08-14T21:23:50.5361337Z 660ffc76f83b: Pulling fs layer 2025-08-14T21:23:50.5361613Z c7b4a852a455: Pulling fs layer 2025-08-14T21:23:50.5361863Z e5a28988c893: Pulling fs layer 2025-08-14T21:23:50.5362107Z 76a69b57b683: Pulling fs layer 2025-08-14T21:23:50.5362343Z 5c785dcb4cdb: Pulling fs layer 2025-08-14T21:23:50.5362554Z 836ab08052e8: Pulling fs layer 2025-08-14T21:23:50.5362786Z 53b11c77468c: Pulling fs layer 2025-08-14T21:23:50.5363001Z e97311a6a967: Pulling fs layer 2025-08-14T21:23:50.5363197Z 2c414689d31d: Pulling fs layer 2025-08-14T21:23:50.5363410Z 6d89b5f065d5: Pulling fs layer 2025-08-14T21:23:50.5363619Z 5a5cc76ada43: Pulling fs layer 2025-08-14T21:23:50.5363819Z fc6b37d40530: Pulling fs layer 2025-08-14T21:23:50.5364078Z 2e1657907860: Pulling fs layer 2025-08-14T21:23:50.5368485Z 7b92d7a4b8c7: Pulling fs layer 2025-08-14T21:23:50.5368698Z 4f4fb700ef54: Pulling fs layer 2025-08-14T21:23:50.5368903Z d6226eb61f82: Pulling fs layer 2025-08-14T21:23:50.5369110Z 83c70f4266a6: Pulling fs layer 2025-08-14T21:23:50.5369311Z 60c725d21861: Pulling fs layer 2025-08-14T21:23:50.5369513Z a504e76e66a4: Pulling fs layer 2025-08-14T21:23:50.5369710Z fc1c200a4f77: Pulling fs layer 2025-08-14T21:23:50.5369920Z 43273c22704f: Pulling fs layer 2025-08-14T21:23:50.5370122Z e97311a6a967: Waiting 2025-08-14T21:23:50.5370307Z 89df389d042a: Pulling fs layer 2025-08-14T21:23:50.5370516Z 2c414689d31d: Waiting 2025-08-14T21:23:50.5370702Z 684349f50d94: Pulling fs layer 2025-08-14T21:23:50.5370893Z 76a69b57b683: Waiting 2025-08-14T21:23:50.5371071Z 5c785dcb4cdb: Waiting 2025-08-14T21:23:50.5371263Z 21d0eae87fb3: Pulling fs layer 2025-08-14T21:23:50.5371462Z c9c2b424b8e0: Pulling fs layer 2025-08-14T21:23:50.5371668Z 98dda28f3395: Pulling fs layer 2025-08-14T21:23:50.5371875Z acf5babd87f2: Pulling fs layer 2025-08-14T21:23:50.5372104Z 7c5050d8408d: Pulling fs layer 2025-08-14T21:23:50.5372305Z 7ddd14e2b548: Pulling fs layer 2025-08-14T21:23:50.5372514Z 4ba8e7a736c8: Pulling fs layer 2025-08-14T21:23:50.5372717Z 907c320fee2f: Pulling fs layer 2025-08-14T21:23:50.5372912Z 18c4ed1ec491: Pulling fs layer 2025-08-14T21:23:50.5373118Z d7618c2df6cd: Pulling fs layer 2025-08-14T21:23:50.5373325Z b7bdd9a6f789: Pulling fs layer 2025-08-14T21:23:50.5373539Z 6738ba83282e: Pulling fs layer 2025-08-14T21:23:50.5373749Z dfb0f2488639: Pulling fs layer 2025-08-14T21:23:50.5373952Z acf5babd87f2: Waiting 2025-08-14T21:23:50.5374131Z 5a5cc76ada43: Waiting 2025-08-14T21:23:50.5374323Z dc833b0762f2: Pulling fs layer 2025-08-14T21:23:50.5374529Z 8827df8ca2da: Pulling fs layer 2025-08-14T21:23:50.5374720Z 53b11c77468c: Waiting 2025-08-14T21:23:50.5374907Z fac8f3bd0f85: Pulling fs layer 2025-08-14T21:23:50.5375116Z d7cf7f140df3: Pulling fs layer 2025-08-14T21:23:50.5375326Z 733eedc8da8d: Pulling fs layer 2025-08-14T21:23:50.5375523Z 5b092eb06909: Pulling fs layer 2025-08-14T21:23:50.5375731Z bc5961031092: Pulling fs layer 2025-08-14T21:23:50.5375941Z 0531cc34c12a: Pulling fs layer 2025-08-14T21:23:50.5376145Z 38c303d3b62e: Pulling fs layer 2025-08-14T21:23:50.5376352Z e06d15594a2a: Pulling fs layer 2025-08-14T21:23:50.5376562Z 0e55deb5cb38: Pulling fs layer 2025-08-14T21:23:50.5376763Z 4a53d66dce07: Pulling fs layer 2025-08-14T21:23:50.5376970Z 1519daa051b8: Pulling fs layer 2025-08-14T21:23:50.5377182Z 381ed91d2119: Pulling fs layer 2025-08-14T21:23:50.5377381Z c6b0a01a96dd: Pulling fs layer 2025-08-14T21:23:50.5377755Z 62df6413daee: Pulling fs layer 2025-08-14T21:23:50.5377978Z 7a18bc2a6881: Pulling fs layer 2025-08-14T21:23:50.5378185Z 93359cd58a8c: Pulling fs layer 2025-08-14T21:23:50.5378415Z c35ba0a1f353: Pulling fs layer 2025-08-14T21:23:50.5378675Z dcf1e01c98d6: Pulling fs layer 2025-08-14T21:23:50.5378972Z bad0564f61fd: Pulling fs layer 2025-08-14T21:23:50.5379175Z 539ded905736: Pulling fs layer 2025-08-14T21:23:50.5379385Z 28d482062637: Pulling fs layer 2025-08-14T21:23:50.5379601Z 3245316ff51b: Pulling fs layer 2025-08-14T21:23:50.5379800Z b53167d1a6df: Pulling fs layer 2025-08-14T21:23:50.5380152Z 7f5277f69167: Pulling fs layer 2025-08-14T21:23:50.5380359Z 23dff10cdaa5: Pulling fs layer 2025-08-14T21:23:50.5380560Z 9fb73296da6a: Pulling fs layer 2025-08-14T21:23:50.5380784Z 6d89b5f065d5: Waiting 2025-08-14T21:23:50.5380963Z fc6b37d40530: Waiting 2025-08-14T21:23:50.5381144Z 4f4fb700ef54: Waiting 2025-08-14T21:23:50.5381317Z a504e76e66a4: Waiting 2025-08-14T21:23:50.5381490Z 684349f50d94: Waiting 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sha256:4236794baba289041d240d08fd393bbd57497c3012e5e0ccd9fd98f61ebf35c6 2025-08-14T21:32:11.6701439Z 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 2025-08-14T21:32:11.6962469Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:32:11.7022729Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:32:11.7023440Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:32:11.7032361Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:32:11.7032671Z env: 2025-08-14T21:32:11.7032858Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:32:11.7033054Z ##[endgroup] 2025-08-14T21:32:11.7126543Z Prepare all required actions 2025-08-14T21:32:11.7179220Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-08-14T21:32:11.7179490Z with: 2025-08-14T21:32:11.7179989Z github-token: *** 2025-08-14T21:32:11.7180163Z env: 2025-08-14T21:32:11.7180330Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:32:11.7180531Z ##[endgroup] 2025-08-14T21:32:11.7271634Z ##[group]Run set -eux 2025-08-14T21:32:11.7271848Z set -eux 2025-08-14T21:32:11.7272183Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-08-14T21:32:11.7283536Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:32:11.7283820Z env: 2025-08-14T21:32:11.7283998Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:32:11.7284340Z GITHUB_TOKEN: *** 2025-08-14T21:32:11.7284512Z ##[endgroup] 2025-08-14T21:32:11.7309676Z + python3 .github/scripts/get_workflow_job_id.py 16976338999 i-0d468e35f2989a8d1 2025-08-14T21:32:13.1575209Z Setting output job-id=48128301892 2025-08-14T21:32:13.1576094Z Setting output job-name=linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_freezing_avx2_timm, 2, 2, linux.10xlarge.avx2) 2025-08-14T21:32:13.1704339Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-08-14T21:32:13.1704897Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-08-14T21:32:13.1705585Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-08-14T21:32:13.1706198Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:32:13.1711805Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:32:13.1712093Z env: 2025-08-14T21:32:13.1712275Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:32:13.1712472Z JOB_ID: 48128301892 2025-08-14T21:32:13.1712957Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_freezing_avx2_timm, 2, 2, linux.10xlarge.avx2) 2025-08-14T21:32:13.1713617Z WORKFLOW_NAME: inductor-periodic 2025-08-14T21:32:13.1713895Z WORKFLOW_RUN_ID: 16976338999 2025-08-14T21:32:13.1714105Z MONITOR_LOG_INTERVAL: 5 2025-08-14T21:32:13.1714309Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-08-14T21:32:13.1714520Z ##[endgroup] 2025-08-14T21:32:13.7718581Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:32:14.2908270Z Collecting psutil==5.9.8 2025-08-14T21:32:14.3096320Z 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) 2025-08-14T21:32:14.4470021Z Collecting dataclasses_json==0.6.7 2025-08-14T21:32:14.4514191Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-08-14T21:32:14.4981235Z Collecting nvidia-ml-py==11.525.84 2025-08-14T21:32:14.5026457Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-08-14T21:32:14.5416934Z Collecting typing-inspect<1,>=0.4.0 2025-08-14T21:32:14.5452565Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-08-14T21:32:14.6561566Z Collecting marshmallow<4.0.0,>=3.18.0 2025-08-14T21:32:14.6603230Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-08-14T21:32:14.7344049Z Collecting packaging>=17.0 2025-08-14T21:32:14.7382419Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-08-14T21:32:14.7862053Z Collecting mypy-extensions>=0.3.0 2025-08-14T21:32:14.7898343Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-08-14T21:32:14.8719777Z Collecting typing-extensions>=3.7.4 2025-08-14T21:32:14.8778720Z Downloading typing_extensions-4.14.1-py3-none-any.whl (43 kB) 2025-08-14T21:32:15.0397727Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-08-14T21:32:15.6088251Z 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 2025-08-14T21:32:15.8262263Z Prepare all required actions 2025-08-14T21:32:15.8262592Z Getting action download info 2025-08-14T21:32:15.9860260Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-08-14T21:32:16.8543540Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-08-14T21:32:18.7443267Z ##[group]Run ./.github/actions/download-build-artifacts 2025-08-14T21:32:18.7443553Z with: 2025-08-14T21:32:18.7443748Z name: linux-jammy-py3.9-gcc11-build 2025-08-14T21:32:18.7443987Z s3-bucket: gha-artifacts 2025-08-14T21:32:18.7444194Z env: 2025-08-14T21:32:18.7444375Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:32:18.7444574Z ##[endgroup] 2025-08-14T21:32:18.7542090Z ##[group]Run seemethere/download-artifact-s3@v4 2025-08-14T21:32:18.7542352Z with: 2025-08-14T21:32:18.7542548Z name: linux-jammy-py3.9-gcc11-build 2025-08-14T21:32:18.7542808Z s3-bucket: gha-artifacts 2025-08-14T21:32:18.7543048Z region: us-east-1 2025-08-14T21:32:18.7543224Z env: 2025-08-14T21:32:18.7543383Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:32:18.7543583Z ##[endgroup] 2025-08-14T21:32:19.5119707Z (node:48749) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-08-14T21:32:19.5120185Z 2025-08-14T21:32:19.5120338Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-08-14T21:32:19.5120758Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-08-14T21:32:19.5121183Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-08-14T21:32:20.7279517Z Found 1 objects with prefix pytorch/pytorch/16976338999/linux-jammy-py3.9-gcc11-build/ 2025-08-14T21:32:20.7280251Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-08-14T21:32:25.4116587Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-08-14T21:32:25.4125149Z Artifact download has finished successfully 2025-08-14T21:32:25.4314864Z ##[group]Run unzip -o artifacts.zip 2025-08-14T21:32:25.4315131Z unzip -o artifacts.zip 2025-08-14T21:32:25.4320590Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:32:25.4320878Z env: 2025-08-14T21:32:25.4321057Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:32:25.4321251Z ##[endgroup] 2025-08-14T21:32:25.4690123Z Archive: artifacts.zip 2025-08-14T21:32:25.4690821Z creating: dist/ 2025-08-14T21:32:26.7934649Z inflating: dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl 2025-08-14T21:32:26.7935106Z creating: dist/vision/ 2025-08-14T21:32:26.8035981Z inflating: dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:32:26.8036465Z 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2025-08-14T21:32:34.0494298Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:32:34.0494597Z env: 2025-08-14T21:32:34.0494774Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:32:34.0494967Z ##[endgroup] 2025-08-14T21:32:34.0954012Z ##[group]Run df -H 2025-08-14T21:32:34.0954210Z df -H 2025-08-14T21:32:34.0959394Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:32:34.0959700Z env: 2025-08-14T21:32:34.0959875Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:32:34.0960078Z ##[endgroup] 2025-08-14T21:32:34.1004444Z Filesystem Size Used Avail Use% Mounted on 2025-08-14T21:32:34.1004795Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-08-14T21:32:34.1005114Z tmpfs 85G 0 85G 0% /dev/shm 2025-08-14T21:32:34.1005420Z tmpfs 34G 648k 34G 1% /run 2025-08-14T21:32:34.1005699Z /dev/xvda1 215G 70G 146G 33% / 2025-08-14T21:32:34.1005987Z tmpfs 85G 13k 85G 1% /tmp 2025-08-14T21:32:34.1006470Z /dev/xvda128 11M 1.4M 9.2M 13% /boot/efi 2025-08-14T21:32:34.1037688Z Prepare all required actions 2025-08-14T21:32:34.1038504Z Getting action download info 2025-08-14T21:32:34.2601772Z ##[group]Run ./.github/actions/download-td-artifacts 2025-08-14T21:32:34.2602039Z with: 2025-08-14T21:32:34.2602209Z env: 2025-08-14T21:32:34.2602385Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:32:34.2602581Z ##[endgroup] 2025-08-14T21:32:34.2722498Z ##[group]Run seemethere/download-artifact-s3@v4 2025-08-14T21:32:34.2722763Z with: 2025-08-14T21:32:34.2722940Z name: td_results 2025-08-14T21:32:34.2723132Z s3-bucket: gha-artifacts 2025-08-14T21:32:34.2723331Z region: us-east-1 2025-08-14T21:32:34.2723515Z env: 2025-08-14T21:32:34.2723688Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:32:34.2723883Z ##[endgroup] 2025-08-14T21:32:34.7644972Z (node:48768) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-08-14T21:32:34.7645473Z 2025-08-14T21:32:34.7645718Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-08-14T21:32:34.7646145Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-08-14T21:32:34.7646568Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-08-14T21:32:34.8532465Z Found 0 objects with prefix pytorch/pytorch/16976338999/td_results/ 2025-08-14T21:32:34.8547383Z Artifact download has finished successfully 2025-08-14T21:32:34.8759565Z ##[group]Run mkdir -p .additional_ci_files 2025-08-14T21:32:34.8759867Z mkdir -p .additional_ci_files 2025-08-14T21:32:34.8760192Z mv td_results.json .additional_ci_files/td_results.json || true 2025-08-14T21:32:34.8765561Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:32:34.8765852Z env: 2025-08-14T21:32:34.8766029Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:32:34.8766223Z ##[endgroup] 2025-08-14T21:32:34.8829110Z mv: cannot stat 'td_results.json': No such file or directory 2025-08-14T21:32:34.8903508Z ##[group]Run .github/scripts/parse_ref.py 2025-08-14T21:32:34.8903806Z .github/scripts/parse_ref.py 2025-08-14T21:32:34.8908713Z shell: /usr/bin/bash -e {0} 2025-08-14T21:32:34.8908934Z env: 2025-08-14T21:32:34.8909111Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:32:34.8909302Z ##[endgroup] 2025-08-14T21:32:34.9372914Z Setting output branch=main 2025-08-14T21:32:34.9485469Z Prepare all required actions 2025-08-14T21:32:34.9485795Z Getting action download info 2025-08-14T21:32:35.0807304Z ##[group]Run ./.github/actions/filter-test-configs 2025-08-14T21:32:35.0807575Z with: 2025-08-14T21:32:35.0807899Z github-token: *** 2025-08-14T21:32:35.0810545Z 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"}]} 2025-08-14T21:32:35.0813835Z job-name: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_freezing_avx2_timm, 2, 2, linux.10xlarge.avx2) 2025-08-14T21:32:35.0814359Z env: 2025-08-14T21:32:35.0814534Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:32:35.0814744Z ##[endgroup] 2025-08-14T21:32:35.1101247Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-14T21:32:35.1101482Z with: 2025-08-14T21:32:35.1101685Z shell: bash 2025-08-14T21:32:35.1101888Z timeout_minutes: 10 2025-08-14T21:32:35.1102183Z max_attempts: 5 2025-08-14T21:32:35.1102391Z retry_wait_seconds: 30 2025-08-14T21:32:35.1102978Z 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 2025-08-14T21:32:35.1103661Z polling_interval_seconds: 1 2025-08-14T21:32:35.1103872Z warning_on_retry: true 2025-08-14T21:32:35.1104074Z continue_on_error: false 2025-08-14T21:32:35.1104270Z env: 2025-08-14T21:32:35.1104431Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:32:35.1104757Z GITHUB_TOKEN: *** 2025-08-14T21:32:35.1104948Z ##[endgroup] 2025-08-14T21:32:35.2521329Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-08-14T21:32:35.4994078Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:32:35.6309728Z Collecting requests==2.27.1 2025-08-14T21:32:35.6494631Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-08-14T21:32:35.8725489Z Collecting pyyaml==6.0.2 2025-08-14T21:32:35.8767824Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-08-14T21:32:35.9533530Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-08-14T21:32:36.0260583Z Collecting certifi>=2017.4.17 2025-08-14T21:32:36.0299070Z Downloading certifi-2025.8.3-py3-none-any.whl (161 kB) 2025-08-14T21:32:36.4595938Z Collecting charset-normalizer~=2.0.0 2025-08-14T21:32:36.4642276Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-08-14T21:32:36.4927050Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-08-14T21:32:36.5784605Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-08-14T21:32:36.8670167Z Successfully installed certifi-2025.8.3 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-08-14T21:32:37.1975401Z Command completed after 1 attempt(s). 2025-08-14T21:32:37.2037968Z ##[group]Run set -x 2025-08-14T21:32:37.2038202Z set -x 2025-08-14T21:32:37.2038495Z  2025-08-14T21:32:37.2038799Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-08-14T21:32:37.2039155Z # in runner workspace 2025-08-14T21:32:37.2039455Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-08-14T21:32:37.2045710Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:32:37.2045993Z env: 2025-08-14T21:32:37.2046173Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:32:37.2046385Z ##[endgroup] 2025-08-14T21:32:37.2073874Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-08-14T21:32:37.2263759Z Setting output branch=main 2025-08-14T21:32:37.2319688Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-08-14T21:32:37.2320008Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-08-14T21:32:37.2320281Z echo "Job name: ${JOB_NAME}" 2025-08-14T21:32:37.2320504Z  2025-08-14T21:32:37.2320801Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-08-14T21:32:37.2321147Z # in runner workspace 2025-08-14T21:32:37.2321471Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-08-14T21:32:37.2321828Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-08-14T21:32:37.2322072Z  --job-name "${JOB_NAME}" \ 2025-08-14T21:32:37.2324731Z  --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"}]}" \ 2025-08-14T21:32:37.2327556Z  --selected-test-configs "" \ 2025-08-14T21:32:37.2327805Z  --pr-number "${PR_NUMBER}" \ 2025-08-14T21:32:37.2328044Z  --tag "${TAG}" \ 2025-08-14T21:32:37.2328271Z  --event-name "${EVENT_NAME}" \ 2025-08-14T21:32:37.2328522Z  --schedule "${SCHEDULE}" \ 2025-08-14T21:32:37.2328753Z  --branch "${HEAD_BRANCH}" 2025-08-14T21:32:37.2338440Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:32:37.2338729Z env: 2025-08-14T21:32:37.2338897Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:32:37.2339347Z GITHUB_TOKEN: *** 2025-08-14T21:32:37.2339841Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_freezing_avx2_timm, 2, 2, linux.10xlarge.avx2) 2025-08-14T21:32:37.2340432Z PR_NUMBER: 2025-08-14T21:32:37.2340605Z TAG: 2025-08-14T21:32:37.2340780Z EVENT_NAME: schedule 2025-08-14T21:32:37.2340999Z SCHEDULE: 45 0,4,8,12,16,20 * * 1-5 2025-08-14T21:32:37.2341233Z HEAD_BRANCH: main 2025-08-14T21:32:37.2341421Z ##[endgroup] 2025-08-14T21:32:37.2363299Z Workflow: inductor-periodic 2025-08-14T21:32:37.2363954Z Job name: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_freezing_avx2_timm, 2, 2, linux.10xlarge.avx2) 2025-08-14T21:32:37.4161380Z Setting output keep-going=True 2025-08-14T21:32:37.4161724Z Setting output ci-verbose-test-logs=False 2025-08-14T21:32:37.4162160Z Setting output ci-test-showlocals=False 2025-08-14T21:32:37.4162469Z Setting output ci-no-test-timeout=False 2025-08-14T21:32:37.4162725Z Setting output ci-no-td=False 2025-08-14T21:32:37.4162952Z Setting output ci-td-distributed=False 2025-08-14T21:32:37.4163215Z Setting output is-unstable=False 2025-08-14T21:32:37.4163462Z Setting output reenabled-issues= 2025-08-14T21:32:37.4166215Z 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"}]} 2025-08-14T21:32:37.4169100Z Setting output is-test-matrix-empty=False 2025-08-14T21:32:37.4308661Z ##[group]Run echo "Filtered matrix:" 2025-08-14T21:32:37.4308946Z echo "Filtered matrix:" 2025-08-14T21:32:37.4311626Z 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"}]}" 2025-08-14T21:32:37.4314396Z  2025-08-14T21:32:37.4314561Z echo 2025-08-14T21:32:37.4314776Z echo "Is the current job unstable? False" 2025-08-14T21:32:37.4315016Z  2025-08-14T21:32:37.4315173Z echo 2025-08-14T21:32:37.4315371Z echo "Is keep-going label set? True" 2025-08-14T21:32:37.4315603Z  2025-08-14T21:32:37.4315755Z echo 2025-08-14T21:32:37.4315931Z echo "Reenabled issues? " 2025-08-14T21:32:37.4321342Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:32:37.4321627Z env: 2025-08-14T21:32:37.4321801Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:32:37.4321994Z ##[endgroup] 2025-08-14T21:32:37.4351893Z Filtered matrix: 2025-08-14T21:32:37.4355041Z {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}]} 2025-08-14T21:32:37.4357819Z 2025-08-14T21:32:37.4357915Z Is the current job unstable? False 2025-08-14T21:32:37.4358081Z 2025-08-14T21:32:37.4358181Z Is keep-going label set? True 2025-08-14T21:32:37.4358328Z 2025-08-14T21:32:37.4358417Z Reenabled issues? 2025-08-14T21:32:37.4419866Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-08-14T21:32:37.4420270Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-08-14T21:32:37.4425149Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:32:37.4425433Z env: 2025-08-14T21:32:37.4425608Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:32:37.4425803Z JOB_TIMEOUT: 240 2025-08-14T21:32:37.4425989Z ##[endgroup] 2025-08-14T21:32:37.4502786Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:32:37.4503185Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:32:37.4503521Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:32:37.4512495Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:32:37.4512788Z env: 2025-08-14T21:32:37.4512970Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:32:37.4513166Z ##[endgroup] 2025-08-14T21:32:37.4632287Z ##[group]Run set -x 2025-08-14T21:32:37.4632557Z set -x 2025-08-14T21:32:37.4632727Z  2025-08-14T21:32:37.4632927Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-08-14T21:32:37.4633227Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-08-14T21:32:37.4633523Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-08-14T21:32:37.4633795Z  TEST_COMMAND=.ci/onnx/test.sh 2025-08-14T21:32:37.4634024Z else 2025-08-14T21:32:37.4634224Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-08-14T21:32:37.4634450Z fi 2025-08-14T21:32:37.4634615Z  2025-08-14T21:32:37.4634817Z # Leaving 1GB for the runner and other things 2025-08-14T21:32:37.4635393Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-08-14T21:32:37.4636119Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-08-14T21:32:37.4636639Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-08-14T21:32:37.4637027Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-08-14T21:32:37.4637336Z  2025-08-14T21:32:37.4637546Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-08-14T21:32:37.4637797Z  SHM_OPTS= 2025-08-14T21:32:37.4637986Z  JENKINS_USER= 2025-08-14T21:32:37.4638247Z  # ensure that docker container cleanly exits in 12 hours 2025-08-14T21:32:37.4638594Z  # if for some reason cleanup action doesn't stop container 2025-08-14T21:32:37.4638886Z  # when job is cancelled 2025-08-14T21:32:37.4639121Z  DOCKER_SHELL_CMD="sleep 12h" 2025-08-14T21:32:37.4639346Z else 2025-08-14T21:32:37.4639536Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-08-14T21:32:37.4639787Z  JENKINS_USER="--user jenkins" 2025-08-14T21:32:37.4640026Z  DOCKER_SHELL_CMD= 2025-08-14T21:32:37.4640324Z fi 2025-08-14T21:32:37.4640488Z  2025-08-14T21:32:37.4640745Z # detached container should get cleaned up by teardown_ec2_linux 2025-08-14T21:32:37.4641134Z # TODO: Stop building test binaries as part of the build phase 2025-08-14T21:32:37.4641586Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-08-14T21:32:37.4641976Z # shellcheck disable=SC2086,SC2090 2025-08-14T21:32:37.4642233Z container_name=$(docker run \ 2025-08-14T21:32:37.4642469Z  ${GPU_FLAG:-} \ 2025-08-14T21:32:37.4642711Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-08-14T21:32:37.4642975Z  -e BUILD_ENVIRONMENT \ 2025-08-14T21:32:37.4643195Z  -e PR_NUMBER \ 2025-08-14T21:32:37.4643409Z  -e GITHUB_ACTIONS \ 2025-08-14T21:32:37.4643630Z  -e GITHUB_REPOSITORY \ 2025-08-14T21:32:37.4643862Z  -e GITHUB_WORKFLOW \ 2025-08-14T21:32:37.4644076Z  -e GITHUB_JOB \ 2025-08-14T21:32:37.4644290Z  -e GITHUB_RUN_ID \ 2025-08-14T21:32:37.4644504Z  -e GITHUB_RUN_NUMBER \ 2025-08-14T21:32:37.4644721Z  -e GITHUB_RUN_ATTEMPT \ 2025-08-14T21:32:37.4644948Z  -e JOB_ID \ 2025-08-14T21:32:37.4645152Z  -e JOB_NAME \ 2025-08-14T21:32:37.4645344Z  -e BASE_SHA \ 2025-08-14T21:32:37.4645543Z  -e BRANCH \ 2025-08-14T21:32:37.4645738Z  -e SHA1 \ 2025-08-14T21:32:37.4645926Z  -e AWS_DEFAULT_REGION \ 2025-08-14T21:32:37.4646150Z  -e IN_WHEEL_TEST \ 2025-08-14T21:32:37.4646359Z  -e SHARD_NUMBER \ 2025-08-14T21:32:37.4646572Z  -e TEST_CONFIG \ 2025-08-14T21:32:37.4646773Z  -e NUM_TEST_SHARDS \ 2025-08-14T21:32:37.4646995Z  -e REENABLED_ISSUES \ 2025-08-14T21:32:37.4647223Z  -e CONTINUE_THROUGH_ERROR \ 2025-08-14T21:32:37.4647534Z  -e VERBOSE_TEST_LOGS \ 2025-08-14T21:32:37.4647756Z  -e TEST_SHOWLOCALS \ 2025-08-14T21:32:37.4647972Z  -e NO_TEST_TIMEOUT \ 2025-08-14T21:32:37.4648173Z  -e NO_TD \ 2025-08-14T21:32:37.4648368Z  -e TD_DISTRIBUTED \ 2025-08-14T21:32:37.4648588Z  -e PR_LABELS \ 2025-08-14T21:32:37.4648819Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-08-14T21:32:37.4649065Z  -e SCCACHE_BUCKET \ 2025-08-14T21:32:37.4649282Z  -e SCCACHE_REGION \ 2025-08-14T21:32:37.4649491Z  -e XLA_CUDA \ 2025-08-14T21:32:37.4654201Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-08-14T21:32:37.4654648Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-08-14T21:32:37.4654941Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-08-14T21:32:37.4655213Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-08-14T21:32:37.4655468Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-08-14T21:32:37.4655728Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-08-14T21:32:37.4655979Z  -e DASHBOARD_TAG \ 2025-08-14T21:32:37.4656194Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-08-14T21:32:37.4656473Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-08-14T21:32:37.4656786Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-08-14T21:32:37.4657088Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-08-14T21:32:37.4657380Z  --security-opt seccomp=unconfined \ 2025-08-14T21:32:37.4657638Z  --cap-add=SYS_PTRACE \ 2025-08-14T21:32:37.4657861Z  --ipc=host \ 2025-08-14T21:32:37.4658052Z  ${SHM_OPTS} \ 2025-08-14T21:32:37.4658244Z  --tty \ 2025-08-14T21:32:37.4658424Z  --detach \ 2025-08-14T21:32:37.4658645Z  --name="${container_name}" \ 2025-08-14T21:32:37.4658877Z  ${JENKINS_USER} \ 2025-08-14T21:32:37.4659138Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-08-14T21:32:37.4659437Z  -w /var/lib/jenkins/workspace \ 2025-08-14T21:32:37.4659780Z  "${DOCKER_IMAGE}" \ 2025-08-14T21:32:37.4660007Z  ${DOCKER_SHELL_CMD} 2025-08-14T21:32:37.4660216Z ) 2025-08-14T21:32:37.4660441Z # Propagate download.pytorch.org IP to container 2025-08-14T21:32:37.4660935Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-08-14T21:32:37.4661460Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-08-14T21:32:37.4661767Z  2025-08-14T21:32:37.4661968Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-08-14T21:32:37.4662394Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-08-14T21:32:37.4662772Z fi 2025-08-14T21:32:37.4662930Z  2025-08-14T21:32:37.4663290Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-08-14T21:32:37.4668378Z shell: /usr/bin/bash -e {0} 2025-08-14T21:32:37.4668588Z env: 2025-08-14T21:32:37.4668756Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:32:37.4669010Z BUILD_ENVIRONMENT: linux-jammy-py3.9-gcc11-build 2025-08-14T21:32:37.4669276Z PR_NUMBER: 2025-08-14T21:32:37.4669459Z GITHUB_REPOSITORY: pytorch/pytorch 2025-08-14T21:32:37.4669701Z GITHUB_WORKFLOW: inductor-periodic 2025-08-14T21:32:37.4669927Z GITHUB_JOB: test 2025-08-14T21:32:37.4670113Z GITHUB_RUN_ID: 16976338999 2025-08-14T21:32:37.4670317Z GITHUB_RUN_NUMBER: 66307 2025-08-14T21:32:37.4670517Z GITHUB_RUN_ATTEMPT: 1 2025-08-14T21:32:37.4670705Z JOB_ID: 48128301892 2025-08-14T21:32:37.4671180Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_freezing_avx2_timm, 2, 2, linux.10xlarge.avx2) 2025-08-14T21:32:37.4671685Z BRANCH: main 2025-08-14T21:32:37.4671894Z SHA1: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:32:37.4672278Z BASE_SHA: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:32:37.4672565Z TEST_CONFIG: cpu_inductor_freezing_avx2_timm 2025-08-14T21:32:37.4672809Z SHARD_NUMBER: 2 2025-08-14T21:32:37.4672996Z NUM_TEST_SHARDS: 2 2025-08-14T21:32:37.4673177Z REENABLED_ISSUES: 2025-08-14T21:32:37.4673370Z CONTINUE_THROUGH_ERROR: True 2025-08-14T21:32:37.4673585Z VERBOSE_TEST_LOGS: False 2025-08-14T21:32:37.4673783Z TEST_SHOWLOCALS: False 2025-08-14T21:32:37.4673984Z NO_TEST_TIMEOUT: False 2025-08-14T21:32:37.4674171Z NO_TD: False 2025-08-14T21:32:37.4674339Z TD_DISTRIBUTED: False 2025-08-14T21:32:37.4674580Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-08-14T21:32:37.4674851Z SCCACHE_REGION: us-east-1 2025-08-14T21:32:37.4675043Z SHM_SIZE: 1g 2025-08-14T21:32:37.4675651Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:32:37.4676300Z XLA_CUDA: 2025-08-14T21:32:37.4676581Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-08-14T21:32:37.4676924Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-08-14T21:32:37.4677170Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-08-14T21:32:37.4677399Z DASHBOARD_TAG: 2025-08-14T21:32:37.4677724Z HUGGING_FACE_HUB_TOKEN: *** 2025-08-14T21:32:37.4678032Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-08-14T21:32:37.4678421Z ARTIFACTS_FILE_SUFFIX: test-cpu_inductor_freezing_avx2_timm-2-2-linux.10xlarge.avx2_48128301892 2025-08-14T21:32:37.4683033Z ##[endgroup] 2025-08-14T21:32:37.4702919Z + [[ cpu_inductor_freezing_avx2_timm == \m\u\l\t\i\g\p\u ]] 2025-08-14T21:32:37.4703323Z + [[ linux-jammy-py3.9-gcc11-build == *onnx* ]] 2025-08-14T21:32:37.4703650Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-08-14T21:32:37.4705719Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-08-14T21:32:37.4730072Z + TOTAL_AVAILABLE_MEMORY_IN_GB='156.355 ' 2025-08-14T21:32:37.4730399Z + TOTAL_MEMORY_WITH_SWAP=159 2025-08-14T21:32:37.4730894Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]] 2025-08-14T21:32:37.4731236Z + SHM_OPTS=--shm-size=1g 2025-08-14T21:32:37.4731461Z + JENKINS_USER='--user jenkins' 2025-08-14T21:32:37.4731676Z + DOCKER_SHELL_CMD= 2025-08-14T21:32:37.4737765Z +++ nproc --ignore=2 2025-08-14T21:32:37.4947696Z ++ 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=38 -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=156g --memory-swap=159g --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 2025-08-14T21:33:14.4125021Z + container_name=711bd4f070a038d51305c7bcf919fd9f32d0e6a448a24ff2a7c64e4a1b272d89 2025-08-14T21:33:14.4130146Z + docker exec -i 711bd4f070a038d51305c7bcf919fd9f32d0e6a448a24ff2a7c64e4a1b272d89 sudo bash -c '/bin/cat >> /etc/hosts' 2025-08-14T21:33:14.4143896Z + grep download.pytorch.org /etc/hosts 2025-08-14T21:33:14.5245633Z + echo DOCKER_CONTAINER_ID=711bd4f070a038d51305c7bcf919fd9f32d0e6a448a24ff2a7c64e4a1b272d89 2025-08-14T21:33:14.5246382Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]] 2025-08-14T21:33:14.5249863Z ++ echo dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl 2025-08-14T21:33:14.5250804Z + docker exec -t 711bd4f070a038d51305c7bcf919fd9f32d0e6a448a24ff2a7c64e4a1b272d89 sh -c 'python3 -m pip install dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-08-14T21:33:14.9859179Z Processing ./dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl (from torch==2.9.0a0+git1fc683c) 2025-08-14T21:33:15.6665699Z 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) 2025-08-14T21:33:15.6675908Z 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) 2025-08-14T21:33:15.6676941Z 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) 2025-08-14T21:33:15.6677853Z 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) 2025-08-14T21:33:15.6680040Z 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) 2025-08-14T21:33:15.6690176Z 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) 2025-08-14T21:33:15.6701411Z 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) 2025-08-14T21:33:15.7099093Z 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) 2025-08-14T21:33:15.7125880Z 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) 2025-08-14T21:33:15.7187247Z 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) 2025-08-14T21:33:16.8015410Z Installing collected packages: torch 2025-08-14T21:33:27.0884148Z 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. 2025-08-14T21:33:27.0884872Z dall-e 0.1 requires torchvision, which is not installed. 2025-08-14T21:33:27.0885236Z effdet 0.4.1 requires torchvision, which is not installed. 2025-08-14T21:33:27.0885675Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-08-14T21:33:27.0886266Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-08-14T21:33:27.0886844Z timm 1.0.14 requires torchvision, which is not installed. 2025-08-14T21:33:27.0887235Z Successfully installed torch-2.9.0a0+git1fc683c 2025-08-14T21:33:27.1802879Z + export TERM=vt100 2025-08-14T21:33:27.1803112Z + TERM=vt100 2025-08-14T21:33:27.1803327Z ++ dirname .ci/pytorch/test.sh 2025-08-14T21:33:27.1809861Z + source .ci/pytorch/common.sh 2025-08-14T21:33:27.1816759Z +++ dirname .ci/pytorch/common.sh 2025-08-14T21:33:27.1823721Z ++ source .ci/pytorch/common_utils.sh 2025-08-14T21:33:27.1824326Z +++ declare -f -t trap_add 2025-08-14T21:33:27.1834425Z ++ set -ex -o pipefail 2025-08-14T21:33:27.1834697Z ++ [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-08-14T21:33:27.1835031Z ++ BUILD_TEST_LIBTORCH=0 2025-08-14T21:33:27.1835275Z ++ dirname .ci/pytorch/test.sh 2025-08-14T21:33:27.1839121Z + source .ci/pytorch/common-build.sh 2025-08-14T21:33:27.1840527Z ++ [[ linux-jammy-py3.9-gcc11-build != *win-* ]] 2025-08-14T21:33:27.1849631Z ++++ dirname .ci/pytorch/common-build.sh 2025-08-14T21:33:27.1970314Z +++ cd .ci/pytorch 2025-08-14T21:33:27.1972722Z +++ pwd -P 2025-08-14T21:33:27.1980015Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-08-14T21:33:27.1980429Z ++ [[ linux-jammy-py3.9-gcc11-build == *-pch* ]] 2025-08-14T21:33:27.1980730Z ++ which sccache 2025-08-14T21:33:27.2039222Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-08-14T21:33:27.2039550Z ++ sccache --stop-server 2025-08-14T21:33:27.2066287Z ++ true 2025-08-14T21:33:27.2071038Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-08-14T21:33:27.2071308Z ++ trap_add sccache_epilogue EXIT 2025-08-14T21:33:27.2071553Z ++ trap_add_cmd=sccache_epilogue 2025-08-14T21:33:27.2071762Z ++ shift 2025-08-14T21:33:27.2072013Z ++ for trap_add_name in "$@" 2025-08-14T21:33:27.2082762Z ++++ trap -p EXIT 2025-08-14T21:33:27.2084822Z +++ eval 'extract_trap_cmd ' 2025-08-14T21:33:27.2085243Z ++++ extract_trap_cmd 2025-08-14T21:33:27.2085510Z ++++ printf '%s\n' '' 2025-08-14T21:33:27.2085709Z +++ printf '%s\n' sccache_epilogue 2025-08-14T21:33:27.2095041Z ++ trap -- ' 2025-08-14T21:33:27.2095259Z sccache_epilogue' EXIT 2025-08-14T21:33:27.2095479Z ++ [[ -n 1 ]] 2025-08-14T21:33:27.2095989Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-08-14T21:33:27.2096649Z Skipping sccache server initialization, setting environment variables 2025-08-14T21:33:27.2096981Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:33:27.2097206Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:33:27.2097467Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:33:27.2097799Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:33:27.2098114Z ++ export RUST_LOG=sccache::server=error 2025-08-14T21:33:27.2098354Z ++ RUST_LOG=sccache::server=error 2025-08-14T21:33:27.2098579Z ++ sccache --zero-stats 2025-08-14T21:33:27.3755936Z Statistics zeroed. 2025-08-14T21:33:27.3763468Z ++ which ccache 2025-08-14T21:33:27.3821942Z + [[ linux-jammy-py3.9-gcc11-build != *rocm* ]] 2025-08-14T21:33:27.3822319Z + [[ linux-jammy-py3.9-gcc11-build != *s390x* ]] 2025-08-14T21:33:27.3822660Z + [[ -d /var/lib/jenkins/workspace ]] 2025-08-14T21:33:27.3824771Z ++ stat -c %u /var/lib/jenkins/workspace 2025-08-14T21:33:27.3850392Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-08-14T21:33:27.3850691Z + trap_add cleanup_workspace EXIT 2025-08-14T21:33:27.3850969Z + trap_add_cmd=cleanup_workspace 2025-08-14T21:33:27.3851233Z + shift 2025-08-14T21:33:27.3851423Z + for trap_add_name in "$@" 2025-08-14T21:33:27.3851665Z +++ trap -p EXIT 2025-08-14T21:33:27.3852368Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-08-14T21:33:27.3852612Z sccache_epilogue'\'' EXIT' 2025-08-14T21:33:27.3852844Z +++ extract_trap_cmd trap -- ' 2025-08-14T21:33:27.3853055Z sccache_epilogue' EXIT 2025-08-14T21:33:27.3853253Z +++ printf '%s\n' ' 2025-08-14T21:33:27.3853788Z sccache_epilogue' 2025-08-14T21:33:27.3854005Z ++ printf '%s\n' cleanup_workspace 2025-08-14T21:33:27.3854814Z + trap -- ' 2025-08-14T21:33:27.3854989Z sccache_epilogue 2025-08-14T21:33:27.3855176Z cleanup_workspace' EXIT 2025-08-14T21:33:27.3855416Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-08-14T21:33:28.1059226Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-08-14T21:33:28.1074225Z + echo 'Environment variables:' 2025-08-14T21:33:28.1074502Z Environment variables: 2025-08-14T21:33:28.1074713Z + env 2025-08-14T21:33:28.1086777Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:33:28.1087284Z CONTINUE_THROUGH_ERROR=True 2025-08-14T21:33:28.1087593Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build 2025-08-14T21:33:28.1087951Z HOSTNAME=711bd4f070a0 2025-08-14T21:33:28.1088409Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_be681342-09ae-41a6-b6a2-38c7bb1095b3 2025-08-14T21:33:28.1088879Z GITHUB_ACTION=__run_2 2025-08-14T21:33:28.1089288Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-08-14T21:33:28.1089534Z GITHUB_RUN_NUMBER=66307 2025-08-14T21:33:28.1089762Z TEST_CONFIG=cpu_inductor_freezing_avx2_timm 2025-08-14T21:33:28.1090067Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-08-14T21:33:28.1090349Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-08-14T21:33:28.1090580Z SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:33:28.1091003Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-08-14T21:33:28.1095531Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-08-14T21:33:28.1095770Z GITHUB_REF_TYPE=branch 2025-08-14T21:33:28.1095972Z TORCH_CUDA_ARCH_LIST=Maxwell 2025-08-14T21:33:28.1096229Z BASE_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:33:28.1096484Z XLA_CUDA= 2025-08-14T21:33:28.1096658Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-08-14T21:33:28.1096973Z HUGGING_FACE_HUB_TOKEN=*** 2025-08-14T21:33:28.1097299Z *** 2025-08-14T21:33:28.1097463Z GITHUB_REPOSITORY_ID=65600975 2025-08-14T21:33:28.1097676Z GITHUB_ACTIONS=true 2025-08-14T21:33:28.1097915Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:33:28.1098218Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:33:28.1098493Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:33:28.1098931Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-periodic.yml@refs/heads/main 2025-08-14T21:33:28.1099328Z UCC_HOME=/usr 2025-08-14T21:33:28.1099501Z VERBOSE_TEST_LOGS=False 2025-08-14T21:33:28.1099701Z GITHUB_REF=refs/heads/main 2025-08-14T21:33:28.1099905Z SHARD_NUMBER=2 2025-08-14T21:33:28.1100081Z GITHUB_REF_PROTECTED=true 2025-08-14T21:33:28.1100286Z HOME=/var/lib/jenkins 2025-08-14T21:33:28.1100505Z GITHUB_API_URL=https://api.github.com 2025-08-14T21:33:28.1100748Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-08-14T21:33:28.1100970Z UCX_COMMIT= 2025-08-14T21:33:28.1101137Z USE_SYSTEM_NCCL=1 2025-08-14T21:33:28.1101310Z NUM_TEST_SHARDS=2 2025-08-14T21:33:28.1101487Z UCX_HOME=/usr 2025-08-14T21:33:28.1101907Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_be681342-09ae-41a6-b6a2-38c7bb1095b3 2025-08-14T21:33:28.1102794Z JOB_NAME=linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_freezing_avx2_timm, 2, 2, linux.10xlarge.avx2) 2025-08-14T21:33:28.1103526Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_be681342-09ae-41a6-b6a2-38c7bb1095b3 2025-08-14T21:33:28.1104112Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-08-14T21:33:28.1104479Z GITHUB_EVENT_NAME=schedule 2025-08-14T21:33:28.1104671Z DASHBOARD_TAG= 2025-08-14T21:33:28.1104858Z GITHUB_RUN_ID=16976338999 2025-08-14T21:33:28.1105063Z INSTALLED_OPENBLAS= 2025-08-14T21:33:28.1105517Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_be681342-09ae-41a6-b6a2-38c7bb1095b3 2025-08-14T21:33:28.1106101Z GITHUB_ACTOR=pytorchmergebot 2025-08-14T21:33:28.1106369Z PR_NUMBER= 2025-08-14T21:33:28.1106531Z DESIRED_CUDA= 2025-08-14T21:33:28.1106701Z GITHUB_RUN_ATTEMPT=1 2025-08-14T21:33:28.1106965Z ANACONDA_PYTHON_VERSION=3.9 2025-08-14T21:33:28.1107216Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-08-14T21:33:28.1107469Z TERM=vt100 2025-08-14T21:33:28.1107636Z INSTALLED_VISION=yes 2025-08-14T21:33:28.1107824Z BRANCH=main 2025-08-14T21:33:28.1107994Z SCCACHE_REGION=us-east-1 2025-08-14T21:33:28.1108209Z OPENSSL_ROOT_DIR=/opt/openssl 2025-08-14T21:33:28.1108423Z CUDA_PATH=/usr/local/cuda 2025-08-14T21:33:28.1108799Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-08-14T21:33:28.1109224Z GITHUB_SERVER_URL=https://github.com 2025-08-14T21:33:28.1109451Z UCC_COMMIT= 2025-08-14T21:33:28.1109614Z REENABLED_ISSUES= 2025-08-14T21:33:28.1109783Z DOCS=yes 2025-08-14T21:33:28.1109938Z SHLVL=1 2025-08-14T21:33:28.1110093Z MAX_JOBS=38 2025-08-14T21:33:28.1110255Z GITHUB_ACTOR_ID=97764156 2025-08-14T21:33:28.1110569Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:33:28.1110930Z GITHUB_REF_NAME=main 2025-08-14T21:33:28.1111223Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-08-14T21:33:28.1111562Z GITHUB_JOB=test 2025-08-14T21:33:28.1111745Z NO_TEST_TIMEOUT=False 2025-08-14T21:33:28.1111929Z TD_DISTRIBUTED=False 2025-08-14T21:33:28.1112131Z GITHUB_REPOSITORY=pytorch/pytorch 2025-08-14T21:33:28.1112363Z GITHUB_RETENTION_DAYS=90 2025-08-14T21:33:28.1112560Z OPENSSL_DIR=/opt/openssl 2025-08-14T21:33:28.1112768Z GITHUB_ACTION_REPOSITORY= 2025-08-14T21:33:28.1113332Z 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 2025-08-14T21:33:28.1113905Z GITHUB_BASE_REF= 2025-08-14T21:33:28.1114081Z INSTALLED_ACL= 2025-08-14T21:33:28.1114431Z ARTIFACTS_FILE_SUFFIX=test-cpu_inductor_freezing_avx2_timm-2-2-linux.10xlarge.avx2_48128301892 2025-08-14T21:33:28.1114833Z CI=true 2025-08-14T21:33:28.1115006Z GITHUB_REPOSITORY_OWNER=pytorch 2025-08-14T21:33:28.1115274Z RUST_LOG=sccache::server=error 2025-08-14T21:33:28.1115489Z JOB_ID=48128301892 2025-08-14T21:33:28.1115658Z GITHUB_HEAD_REF= 2025-08-14T21:33:28.1115832Z GITHUB_ACTION_REF= 2025-08-14T21:33:28.1116060Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-08-14T21:33:28.1116316Z TEST_SHOWLOCALS=False 2025-08-14T21:33:28.1116521Z GITHUB_WORKFLOW=inductor-periodic 2025-08-14T21:33:28.1116755Z DEBIAN_FRONTEND=noninteractive 2025-08-14T21:33:28.1117213Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_be681342-09ae-41a6-b6a2-38c7bb1095b3 2025-08-14T21:33:28.1117662Z NO_TD=False 2025-08-14T21:33:28.1117846Z SKIP_SCCACHE_INITIALIZATION=1 2025-08-14T21:33:28.1118077Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-08-14T21:33:28.1118303Z _=/usr/bin/env 2025-08-14T21:33:28.1118547Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-08-14T21:33:28.1594311Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch 2025-08-14T21:33:28.1594932Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/bin 2025-08-14T21:33:28.1595511Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib 2025-08-14T21:33:28.1595935Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/test 2025-08-14T21:33:28.1596257Z + BUILD_DIR=build 2025-08-14T21:33:28.1596441Z + BUILD_RENAMED_DIR=build_renamed 2025-08-14T21:33:28.1596667Z + BUILD_BIN_DIR=build/bin 2025-08-14T21:33:28.1596859Z + SHARD_NUMBER=2 2025-08-14T21:33:28.1597028Z + NUM_TEST_SHARDS=2 2025-08-14T21:33:28.1597236Z + export TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:33:28.1597476Z + TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:33:28.1597681Z + export VALGRIND=ON 2025-08-14T21:33:28.1597868Z + VALGRIND=ON 2025-08-14T21:33:28.1598082Z + [[ linux-jammy-py3.9-gcc11-build == *clang9* ]] 2025-08-14T21:33:28.1598369Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-08-14T21:33:28.1598641Z + [[ linux-jammy-py3.9-gcc11-build == *s390x* ]] 2025-08-14T21:33:28.1598974Z + [[ 0 == \1 ]] 2025-08-14T21:33:28.1599173Z + [[ True == \1 ]] 2025-08-14T21:33:28.1599407Z + [[ linux-jammy-py3.9-gcc11-build != *bazel* ]] 2025-08-14T21:33:28.1599670Z ++ realpath build/custom_test_artifacts 2025-08-14T21:33:28.1603354Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-08-14T21:33:28.1603718Z + [[ -n '' ]] 2025-08-14T21:33:28.1603908Z + echo 'Environment variables' 2025-08-14T21:33:28.1604128Z Environment variables 2025-08-14T21:33:28.1604315Z + env 2025-08-14T21:33:28.1637118Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:33:28.1637568Z CONTINUE_THROUGH_ERROR=True 2025-08-14T21:33:28.1637862Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build 2025-08-14T21:33:28.1638178Z HOSTNAME=711bd4f070a0 2025-08-14T21:33:28.1638604Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_be681342-09ae-41a6-b6a2-38c7bb1095b3 2025-08-14T21:33:28.1639062Z GITHUB_ACTION=__run_2 2025-08-14T21:33:28.1639379Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-08-14T21:33:28.1639611Z GITHUB_RUN_NUMBER=66307 2025-08-14T21:33:28.1639842Z TEST_CONFIG=cpu_inductor_freezing_avx2_timm 2025-08-14T21:33:28.1640113Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-08-14T21:33:28.1640357Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-08-14T21:33:28.1640608Z SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:33:28.1640981Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-08-14T21:33:28.1641204Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-08-14T21:33:28.1641441Z GITHUB_REF_TYPE=branch 2025-08-14T21:33:28.1641640Z TORCH_CUDA_ARCH_LIST=Maxwell 2025-08-14T21:33:28.1641875Z BASE_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:33:28.1642119Z XLA_CUDA= 2025-08-14T21:33:28.1646543Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-08-14T21:33:28.1646844Z HUGGING_FACE_HUB_TOKEN=*** 2025-08-14T21:33:28.1647107Z *** 2025-08-14T21:33:28.1647280Z GITHUB_REPOSITORY_ID=65600975 2025-08-14T21:33:28.1647492Z GITHUB_ACTIONS=true 2025-08-14T21:33:28.1647713Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:33:28.1648005Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:33:28.1648280Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:33:28.1648696Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-periodic.yml@refs/heads/main 2025-08-14T21:33:28.1649082Z UCC_HOME=/usr 2025-08-14T21:33:28.1649263Z TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:33:28.1649466Z VERBOSE_TEST_LOGS=False 2025-08-14T21:33:28.1649668Z GITHUB_REF=refs/heads/main 2025-08-14T21:33:28.1649865Z SHARD_NUMBER=2 2025-08-14T21:33:28.1650036Z GITHUB_REF_PROTECTED=true 2025-08-14T21:33:28.1650241Z HOME=/var/lib/jenkins 2025-08-14T21:33:28.1650458Z GITHUB_API_URL=https://api.github.com 2025-08-14T21:33:28.1650706Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-08-14T21:33:28.1650916Z UCX_COMMIT= 2025-08-14T21:33:28.1651077Z USE_SYSTEM_NCCL=1 2025-08-14T21:33:28.1651251Z NUM_TEST_SHARDS=2 2025-08-14T21:33:28.1651415Z UCX_HOME=/usr 2025-08-14T21:33:28.1651831Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_be681342-09ae-41a6-b6a2-38c7bb1095b3 2025-08-14T21:33:28.1652659Z JOB_NAME=linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_freezing_avx2_timm, 2, 2, linux.10xlarge.avx2) 2025-08-14T21:33:28.1653731Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_be681342-09ae-41a6-b6a2-38c7bb1095b3 2025-08-14T21:33:28.1654322Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-08-14T21:33:28.1654694Z GITHUB_EVENT_NAME=schedule 2025-08-14T21:33:28.1654900Z DASHBOARD_TAG= 2025-08-14T21:33:28.1655072Z GITHUB_RUN_ID=16976338999 2025-08-14T21:33:28.1655272Z INSTALLED_OPENBLAS= 2025-08-14T21:33:28.1655719Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_be681342-09ae-41a6-b6a2-38c7bb1095b3 2025-08-14T21:33:28.1656206Z GITHUB_ACTOR=pytorchmergebot 2025-08-14T21:33:28.1656415Z PR_NUMBER= 2025-08-14T21:33:28.1656582Z DESIRED_CUDA= 2025-08-14T21:33:28.1656817Z GITHUB_RUN_ATTEMPT=1 2025-08-14T21:33:28.1657002Z VALGRIND=ON 2025-08-14T21:33:28.1657213Z ANACONDA_PYTHON_VERSION=3.9 2025-08-14T21:33:28.1657469Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-08-14T21:33:28.1657723Z TERM=vt100 2025-08-14T21:33:28.1657885Z INSTALLED_VISION=yes 2025-08-14T21:33:28.1658058Z BRANCH=main 2025-08-14T21:33:28.1658230Z SCCACHE_REGION=us-east-1 2025-08-14T21:33:28.1658436Z OPENSSL_ROOT_DIR=/opt/openssl 2025-08-14T21:33:28.1658652Z CUDA_PATH=/usr/local/cuda 2025-08-14T21:33:28.1659032Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-08-14T21:33:28.1659456Z GITHUB_SERVER_URL=https://github.com 2025-08-14T21:33:28.1659681Z UCC_COMMIT= 2025-08-14T21:33:28.1659837Z REENABLED_ISSUES= 2025-08-14T21:33:28.1660008Z DOCS=yes 2025-08-14T21:33:28.1660162Z SHLVL=1 2025-08-14T21:33:28.1660309Z MAX_JOBS=38 2025-08-14T21:33:28.1660476Z GITHUB_ACTOR_ID=97764156 2025-08-14T21:33:28.1660847Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:33:28.1661128Z GITHUB_REF_NAME=main 2025-08-14T21:33:28.1661417Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-08-14T21:33:28.1661736Z GITHUB_JOB=test 2025-08-14T21:33:28.1661908Z NO_TEST_TIMEOUT=False 2025-08-14T21:33:28.1662104Z TD_DISTRIBUTED=False 2025-08-14T21:33:28.1662308Z GITHUB_REPOSITORY=pytorch/pytorch 2025-08-14T21:33:28.1662533Z GITHUB_RETENTION_DAYS=90 2025-08-14T21:33:28.1662733Z OPENSSL_DIR=/opt/openssl 2025-08-14T21:33:28.1662934Z GITHUB_ACTION_REPOSITORY= 2025-08-14T21:33:28.1663561Z 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 2025-08-14T21:33:28.1664123Z GITHUB_BASE_REF= 2025-08-14T21:33:28.1664300Z INSTALLED_ACL= 2025-08-14T21:33:28.1664644Z ARTIFACTS_FILE_SUFFIX=test-cpu_inductor_freezing_avx2_timm-2-2-linux.10xlarge.avx2_48128301892 2025-08-14T21:33:28.1665026Z CI=true 2025-08-14T21:33:28.1665212Z GITHUB_REPOSITORY_OWNER=pytorch 2025-08-14T21:33:28.1665479Z RUST_LOG=sccache::server=error 2025-08-14T21:33:28.1665681Z JOB_ID=48128301892 2025-08-14T21:33:28.1665858Z GITHUB_HEAD_REF= 2025-08-14T21:33:28.1666035Z GITHUB_ACTION_REF= 2025-08-14T21:33:28.1666249Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-08-14T21:33:28.1666514Z TEST_SHOWLOCALS=False 2025-08-14T21:33:28.1666722Z GITHUB_WORKFLOW=inductor-periodic 2025-08-14T21:33:28.1667040Z DEBIAN_FRONTEND=noninteractive 2025-08-14T21:33:28.1667490Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_be681342-09ae-41a6-b6a2-38c7bb1095b3 2025-08-14T21:33:28.1667951Z NO_TD=False 2025-08-14T21:33:28.1668135Z SKIP_SCCACHE_INITIALIZATION=1 2025-08-14T21:33:28.1668357Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-08-14T21:33:28.1668591Z _=/usr/bin/env 2025-08-14T21:33:28.1668771Z + echo 'Testing pytorch' 2025-08-14T21:33:28.1668959Z Testing pytorch 2025-08-14T21:33:28.1669154Z + export LANG=C.UTF-8 2025-08-14T21:33:28.1669434Z + LANG=C.UTF-8 2025-08-14T21:33:28.1669606Z + PR_NUMBER= 2025-08-14T21:33:28.1669818Z + [[ cpu_inductor_freezing_avx2_timm == \d\e\f\a\u\l\t ]] 2025-08-14T21:33:28.1670144Z + [[ cpu_inductor_freezing_avx2_timm == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-08-14T21:33:28.1670455Z + [[ cpu_inductor_freezing_avx2_timm == \s\l\o\w ]] 2025-08-14T21:33:28.1670755Z + [[ linux-jammy-py3.9-gcc11-build == *slow-gradcheck* ]] 2025-08-14T21:33:28.1671058Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-08-14T21:33:28.1675540Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-08-14T21:33:28.1675810Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-08-14T21:33:28.1676095Z + [[ cpu_inductor_freezing_avx2_timm == *crossref* ]] 2025-08-14T21:33:28.1676377Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-08-14T21:33:28.1676634Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-08-14T21:33:28.1676919Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]] 2025-08-14T21:33:28.1677191Z + pip_install ninja==1.10.2 2025-08-14T21:33:28.1677471Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-08-14T21:33:28.1677876Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-08-14T21:33:28.7205922Z Collecting ninja==1.10.2 2025-08-14T21:33:28.7318675Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-08-14T21:33:28.7440224Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-08-14T21:33:29.8141544Z Installing collected packages: ninja 2025-08-14T21:33:29.8141950Z Attempting uninstall: ninja 2025-08-14T21:33:29.8153112Z Found existing installation: ninja 1.11.1.3 2025-08-14T21:33:29.8180716Z Uninstalling ninja-1.11.1.3: 2025-08-14T21:33:29.8250171Z Successfully uninstalled ninja-1.11.1.3 2025-08-14T21:33:29.8954288Z Successfully installed ninja-1.10.2 2025-08-14T21:33:29.9848405Z + 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 2025-08-14T21:33:29.9849549Z + 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 2025-08-14T21:33:29.9850256Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]] 2025-08-14T21:33:29.9850559Z + [[ linux-jammy-py3.9-gcc11-build == *asan* ]] 2025-08-14T21:33:29.9850846Z + [[ linux-jammy-py3.9-gcc11-build == *-debug* ]] 2025-08-14T21:33:29.9851125Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]] 2025-08-14T21:33:29.9851531Z + echo 'We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass' 2025-08-14T21:33:29.9852022Z We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass 2025-08-14T21:33:29.9852357Z + cd test 2025-08-14T21:33:29.9852627Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-08-14T21:33:31.5100805Z + [[ cpu_inductor_freezing_avx2_timm == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-08-14T21:33:31.5101359Z + [[ cpu_inductor_freezing_avx2_timm == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-08-14T21:33:31.5101773Z + [[ cpu_inductor_freezing_avx2_timm == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-08-14T21:33:31.5102120Z + DYNAMO_BENCHMARK_FLAGS=() 2025-08-14T21:33:31.5102399Z + [[ cpu_inductor_freezing_avx2_timm == *pr_time_benchmarks* ]] 2025-08-14T21:33:31.5102726Z + [[ cpu_inductor_freezing_avx2_timm == *dynamo_eager* ]] 2025-08-14T21:33:31.5103030Z + [[ cpu_inductor_freezing_avx2_timm == *aot_eager* ]] 2025-08-14T21:33:31.5103324Z + [[ cpu_inductor_freezing_avx2_timm == *aot_inductor* ]] 2025-08-14T21:33:31.5103652Z + [[ cpu_inductor_freezing_avx2_timm == *max_autotune_inductor* ]] 2025-08-14T21:33:31.5103976Z + [[ cpu_inductor_freezing_avx2_timm == *inductor* ]] 2025-08-14T21:33:31.5104259Z + [[ cpu_inductor_freezing_avx2_timm != *perf* ]] 2025-08-14T21:33:31.5104581Z + DYNAMO_BENCHMARK_FLAGS+=(--inductor) 2025-08-14T21:33:31.5105104Z + [[ cpu_inductor_freezing_avx2_timm == *dynamic* ]] 2025-08-14T21:33:31.5105384Z + [[ cpu_inductor_freezing_avx2_timm == *cpu* ]] 2025-08-14T21:33:31.5105648Z + DYNAMO_BENCHMARK_FLAGS+=(--device cpu) 2025-08-14T21:33:31.5134421Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]] 2025-08-14T21:33:31.5134793Z + [[ linux-jammy-py3.9-gcc11-build == *-bazel-* ]] 2025-08-14T21:33:31.5137013Z + cd test 2025-08-14T21:33:31.5145897Z + python -c 'import torch; print(torch.__config__.show())' 2025-08-14T21:33:32.8123467Z PyTorch built with: 2025-08-14T21:33:32.8123826Z - GCC 11.4 2025-08-14T21:33:32.8124032Z - C++ Version: 201703 2025-08-14T21:33:32.8124596Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-08-14T21:33:32.8125140Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-08-14T21:33:32.8125499Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-08-14T21:33:32.8125777Z - LAPACK is enabled (usually provided by MKL) 2025-08-14T21:33:32.8126032Z - NNPACK is enabled 2025-08-14T21:33:32.8126241Z - CPU capability usage: AVX2 2025-08-14T21:33:32.8136196Z - 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, 2025-08-14T21:33:32.8139658Z 2025-08-14T21:33:33.0182619Z + cd test 2025-08-14T21:33:33.0182957Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-08-14T21:33:34.3291650Z ATen/Parallel: 2025-08-14T21:33:34.3291970Z at::get_num_threads() : 20 2025-08-14T21:33:34.3292253Z at::get_num_interop_threads() : 20 2025-08-14T21:33:34.3292501Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-08-14T21:33:34.3292729Z omp_get_max_threads() : 20 2025-08-14T21:33:34.3293156Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-08-14T21:33:34.3293584Z mkl_get_max_threads() : 20 2025-08-14T21:33:34.3293916Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-08-14T21:33:34.3294270Z std::thread::hardware_concurrency() : 40 2025-08-14T21:33:34.3294516Z Environment variables: 2025-08-14T21:33:34.3294722Z OMP_NUM_THREADS : [not set] 2025-08-14T21:33:34.3294934Z MKL_NUM_THREADS : [not set] 2025-08-14T21:33:34.3295148Z ATen parallel backend: OpenMP 2025-08-14T21:33:34.3295292Z 2025-08-14T21:33:34.5367553Z + [[ cpu_inductor_freezing_avx2_timm == *numpy_2* ]] 2025-08-14T21:33:34.5367961Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]] 2025-08-14T21:33:34.5368338Z + [[ cpu_inductor_freezing_avx2_timm == *backward* ]] 2025-08-14T21:33:34.5368695Z + [[ cpu_inductor_freezing_avx2_timm == *xla* ]] 2025-08-14T21:33:34.5369063Z + [[ cpu_inductor_freezing_avx2_timm == *executorch* ]] 2025-08-14T21:33:34.5369456Z + [[ cpu_inductor_freezing_avx2_timm == \j\i\t\_\l\e\g\a\c\y ]] 2025-08-14T21:33:34.5369858Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]] 2025-08-14T21:33:34.5370175Z + [[ cpu_inductor_freezing_avx2_timm == distributed ]] 2025-08-14T21:33:34.5370896Z + [[ cpu_inductor_freezing_avx2_timm == *operator_benchmark* ]] 2025-08-14T21:33:34.5371359Z + [[ cpu_inductor_freezing_avx2_timm == *inductor_distributed* ]] 2025-08-14T21:33:34.5371703Z + [[ cpu_inductor_freezing_avx2_timm == *inductor-halide* ]] 2025-08-14T21:33:34.5372036Z + [[ cpu_inductor_freezing_avx2_timm == *inductor-triton-cpu* ]] 2025-08-14T21:33:34.5372404Z + [[ cpu_inductor_freezing_avx2_timm == *inductor-micro-benchmark* ]] 2025-08-14T21:33:34.5372752Z + [[ cpu_inductor_freezing_avx2_timm == *huggingface* ]] 2025-08-14T21:33:34.5373030Z + [[ cpu_inductor_freezing_avx2_timm == *timm* ]] 2025-08-14T21:33:34.5373281Z + install_torchvision 2025-08-14T21:33:34.5373472Z + local orig_preload 2025-08-14T21:33:34.5373650Z + local commit 2025-08-14T21:33:34.5376651Z ++ get_pinned_commit vision 2025-08-14T21:33:34.5376878Z ++ cat .github/ci_commit_pins/vision.txt 2025-08-14T21:33:34.5399706Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:33:34.5400033Z + orig_preload= 2025-08-14T21:33:34.5400231Z + '[' -n '' ']' 2025-08-14T21:33:34.5400466Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-08-14T21:33:34.5406543Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-08-14T21:33:34.5407194Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:33:34.5407618Z + local wheel_dir=dist/vision 2025-08-14T21:33:34.5407827Z + local found_whl=0 2025-08-14T21:33:34.5408017Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:33:34.5408371Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl ]] 2025-08-14T21:33:34.5408716Z + found_whl=1 2025-08-14T21:33:34.5408877Z + break 2025-08-14T21:33:34.5409038Z + '[' 1 == 0 ']' 2025-08-14T21:33:34.5409226Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:33:34.5409737Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:33:34.5410232Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl') 2025-08-14T21:33:34.5410572Z + local args 2025-08-14T21:33:34.5410875Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl == *\ * ]] 2025-08-14T21:33:34.5411232Z + for path in "${args[@]}" 2025-08-14T21:33:34.5411586Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl' 2025-08-14T21:33:34.5412082Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:33:34.5412639Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:33:34.9340976Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-14T21:33:34.9468298Z Installing collected packages: torchvision 2025-08-14T21:33:35.4481576Z Successfully installed torchvision-0.22.0a0+966da7e 2025-08-14T21:33:35.4874910Z + '[' -n '' ']' 2025-08-14T21:33:35.4875145Z + id=1 2025-08-14T21:33:35.4875346Z + test_dynamo_benchmark timm_models 1 2025-08-14T21:33:35.4877579Z ++ pwd 2025-08-14T21:33:35.4879559Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-08-14T21:33:35.4879897Z + local suite=timm_models 2025-08-14T21:33:35.4880096Z + shift 2025-08-14T21:33:35.4880254Z + local shard_id=1 2025-08-14T21:33:35.4880433Z + shift 2025-08-14T21:33:35.4880653Z + [[ cpu_inductor_freezing_avx2_timm == *perf_compare* ]] 2025-08-14T21:33:35.4880944Z + [[ cpu_inductor_freezing_avx2_timm == *perf* ]] 2025-08-14T21:33:35.4881223Z + [[ cpu_inductor_freezing_avx2_timm == *cpu* ]] 2025-08-14T21:33:35.4881474Z + local dt=float32 2025-08-14T21:33:35.4881670Z + [[ cpu_inductor_freezing_avx2_timm == *amp* ]] 2025-08-14T21:33:35.4882057Z + [[ cpu_inductor_freezing_avx2_timm == *freezing* ]] 2025-08-14T21:33:35.4882510Z + test_single_dynamo_benchmark inference timm_models 1 --inference --float32 --freezing 2025-08-14T21:33:35.4886895Z ++ pwd 2025-08-14T21:33:35.4887141Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-08-14T21:33:35.4887686Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-08-14T21:33:35.4904984Z + local name=inference 2025-08-14T21:33:35.4905206Z + shift 2025-08-14T21:33:35.4905390Z + local suite=timm_models 2025-08-14T21:33:35.4905607Z + shift 2025-08-14T21:33:35.4905764Z + local shard_id=1 2025-08-14T21:33:35.4905942Z + shift 2025-08-14T21:33:35.4906106Z + partition_flags=() 2025-08-14T21:33:35.4906294Z + local partition_flags 2025-08-14T21:33:35.4906484Z + [[ -n 2 ]] 2025-08-14T21:33:35.4906653Z + [[ -n 1 ]] 2025-08-14T21:33:35.4907026Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-08-14T21:33:35.4907441Z + [[ cpu_inductor_freezing_avx2_timm == *perf_compare* ]] 2025-08-14T21:33:35.4907740Z + [[ cpu_inductor_freezing_avx2_timm == *perf* ]] 2025-08-14T21:33:35.4908025Z + [[ cpu_inductor_freezing_avx2_timm == *_avx2* ]] 2025-08-14T21:33:35.4908300Z + TEST_CONFIG=cpu_inductor_freezing_timm 2025-08-14T21:33:35.4908578Z + [[ cpu_inductor_freezing_timm == *_avx512* ]] 2025-08-14T21:33:35.4909540Z + python benchmarks/dynamo/timm_models.py --ci --accuracy --timing --explain --print-compilation-time --inductor --device cpu --inference --float32 --freezing --total-partitions 2 --partition-id 1 --output /var/lib/jenkins/workspace/test/test-reports/inference_timm_models.csv 2025-08-14T21:33:44.2750429Z 2025-08-14T21:33:44.4634529Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:33:44.4634901Z 2025-08-14T21:33:44.5538327Z model.safetensors: 0% 0.00/29.6M [00:00 2025-08-14T21:34:15.0506584Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0506860Z 2025-08-14T21:34:15.0506997Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0507439Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0507834Z return mod(*inputs) 2025-08-14T21:34:15.0508212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0508643Z x = self.forward_features(x) 2025-08-14T21:34:15.0509153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0509605Z x = self.blocks(x) 2025-08-14T21:34:15.0509999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.0510429Z x = self.conv_pw(x) 2025-08-14T21:34:15.0510815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.0511267Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0511738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.0512210Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0512410Z 2025-08-14T21:34:15.0512546Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0512986Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0513388Z return mod(*inputs) 2025-08-14T21:34:15.0513774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0514271Z x = self.forward_features(x) 2025-08-14T21:34:15.0514759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0515203Z x = self.blocks(x) 2025-08-14T21:34:15.0515614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.0516043Z x = self.conv_pw(x) 2025-08-14T21:34:15.0516425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.0516880Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0517407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.0517874Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0518081Z 2025-08-14T21:34:15.0518208Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0518648Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0519043Z return mod(*inputs) 2025-08-14T21:34:15.0519438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0519863Z x = self.forward_features(x) 2025-08-14T21:34:15.0520301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0520741Z x = self.blocks(x) 2025-08-14T21:34:15.0521150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.0521591Z x = self.conv_pw(x) 2025-08-14T21:34:15.0521969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.0522431Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0522900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.0523374Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0523572Z 2025-08-14T21:34:15.0523674Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.0523930Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.0524215Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0524655Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0525053Z return mod(*inputs) 2025-08-14T21:34:15.0525448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0525929Z x = self.forward_features(x) 2025-08-14T21:34:15.0526364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0526807Z x = self.blocks(x) 2025-08-14T21:34:15.0527216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.0527650Z x = self.conv_pw(x) 2025-08-14T21:34:15.0528025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.0528443Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.0532810Z 2025-08-14T21:34:15.0532946Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0533430Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0533826Z return mod(*inputs) 2025-08-14T21:34:15.0534221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0534638Z x = self.forward_features(x) 2025-08-14T21:34:15.0535081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0535525Z x = self.blocks(x) 2025-08-14T21:34:15.0535928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:34:15.0536353Z x = self.bn1(x) 2025-08-14T21:34:15.0536713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:34:15.0537106Z x = self.act(x) 2025-08-14T21:34:15.0537218Z 2025-08-14T21:34:15.0537314Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.0537600Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0538095Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0538503Z return mod(*inputs) 2025-08-14T21:34:15.0538887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0539310Z x = self.forward_features(x) 2025-08-14T21:34:15.0539750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0540187Z x = self.blocks(x) 2025-08-14T21:34:15.0540601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.0541040Z x = self.conv_dw(x) 2025-08-14T21:34:15.0541427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.0541890Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0542374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.0542853Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0543124Z 2025-08-14T21:34:15.0543258Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0543737Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0544138Z return mod(*inputs) 2025-08-14T21:34:15.0544528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0544944Z x = self.forward_features(x) 2025-08-14T21:34:15.0545380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0545828Z x = self.blocks(x) 2025-08-14T21:34:15.0546232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.0546666Z x = self.conv_dw(x) 2025-08-14T21:34:15.0547201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.0547674Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0548142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.0548628Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0548835Z 2025-08-14T21:34:15.0548934Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.0549216Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0549651Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0550047Z return mod(*inputs) 2025-08-14T21:34:15.0570710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0571199Z x = self.forward_features(x) 2025-08-14T21:34:15.0571696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0574433Z x = self.blocks(x) 2025-08-14T21:34:15.0574860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.0575306Z x = self.conv_dw(x) 2025-08-14T21:34:15.0575704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.0576181Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0576667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.0577151Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0577365Z 2025-08-14T21:34:15.0577504Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0578129Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0578545Z return mod(*inputs) 2025-08-14T21:34:15.0578943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0579379Z x = self.forward_features(x) 2025-08-14T21:34:15.0579817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0580276Z x = self.blocks(x) 2025-08-14T21:34:15.0580691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.0581143Z x = self.conv_dw(x) 2025-08-14T21:34:15.0581521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.0581988Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0582479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.0582948Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0583154Z 2025-08-14T21:34:15.0583254Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.0583551Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0584001Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0584400Z return mod(*inputs) 2025-08-14T21:34:15.0584800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0585235Z x = self.forward_features(x) 2025-08-14T21:34:15.0585678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0586134Z x = self.blocks(x) 2025-08-14T21:34:15.0586626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.0587297Z x = self.conv_dw(x) 2025-08-14T21:34:15.0587670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.0588137Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0588612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.0589090Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0589289Z 2025-08-14T21:34:15.0589420Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0589870Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0590285Z return mod(*inputs) 2025-08-14T21:34:15.0590676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0591110Z x = self.forward_features(x) 2025-08-14T21:34:15.0591557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0592014Z x = self.blocks(x) 2025-08-14T21:34:15.0592414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.0592849Z x = self.conv_dw(x) 2025-08-14T21:34:15.0593229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.0593678Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0594149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.0594621Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0594820Z 2025-08-14T21:34:15.0595012Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.0595274Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.0595520Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.0596236Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0596676Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0597079Z return mod(*inputs) 2025-08-14T21:34:15.0597476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0597908Z x = self.forward_features(x) 2025-08-14T21:34:15.0598342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0598790Z x = self.blocks(x) 2025-08-14T21:34:15.0599199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.0599637Z x = self.conv_dw(x) 2025-08-14T21:34:15.0600014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.0600432Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.0600568Z 2025-08-14T21:34:15.0600703Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0605358Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0605769Z return mod(*inputs) 2025-08-14T21:34:15.0606165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0606592Z x = self.forward_features(x) 2025-08-14T21:34:15.0607031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0607472Z x = self.blocks(x) 2025-08-14T21:34:15.0607934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:34:15.0609503Z x = self.bn2(x) 2025-08-14T21:34:15.0609871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:34:15.0610268Z x = self.act(x) 2025-08-14T21:34:15.0610380Z 2025-08-14T21:34:15.0610483Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.0610759Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0611197Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0611597Z return mod(*inputs) 2025-08-14T21:34:15.0611978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0612399Z x = self.forward_features(x) 2025-08-14T21:34:15.0612832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0613278Z x = self.blocks(x) 2025-08-14T21:34:15.0613675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.0614120Z x = self.conv_pwl(x) 2025-08-14T21:34:15.0614507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.0614963Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0615443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.0616077Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0616282Z 2025-08-14T21:34:15.0616415Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0616847Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0617245Z return mod(*inputs) 2025-08-14T21:34:15.0617692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0618112Z x = self.forward_features(x) 2025-08-14T21:34:15.0618544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0618987Z x = self.blocks(x) 2025-08-14T21:34:15.0619386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.0619818Z x = self.conv_pwl(x) 2025-08-14T21:34:15.0620200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.0620658Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0621136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.0621601Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0621806Z 2025-08-14T21:34:15.0621910Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.0622200Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0622628Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0623023Z return mod(*inputs) 2025-08-14T21:34:15.0623409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0623835Z x = self.forward_features(x) 2025-08-14T21:34:15.0624268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0624720Z x = self.blocks(x) 2025-08-14T21:34:15.0625134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.0625565Z x = self.conv_pwl(x) 2025-08-14T21:34:15.0625952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.0626472Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0627018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.0627490Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0627695Z 2025-08-14T21:34:15.0627819Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0628259Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0628655Z return mod(*inputs) 2025-08-14T21:34:15.0629044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0629470Z x = self.forward_features(x) 2025-08-14T21:34:15.0629902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0634603Z x = self.blocks(x) 2025-08-14T21:34:15.0635026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.0635464Z x = self.conv_pwl(x) 2025-08-14T21:34:15.0635838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.0636293Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0636757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.0637225Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0637421Z 2025-08-14T21:34:15.0637521Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.0637768Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.0638048Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0638547Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0638937Z return mod(*inputs) 2025-08-14T21:34:15.0639330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0639766Z x = self.forward_features(x) 2025-08-14T21:34:15.0640196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0640638Z x = self.blocks(x) 2025-08-14T21:34:15.0641050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.0641486Z x = self.conv_pwl(x) 2025-08-14T21:34:15.0641866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.0642284Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.0642423Z 2025-08-14T21:34:15.0642555Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0642994Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0643395Z return mod(*inputs) 2025-08-14T21:34:15.0643778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0644206Z x = self.forward_features(x) 2025-08-14T21:34:15.0644706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0645204Z x = self.blocks(x) 2025-08-14T21:34:15.0645607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-14T21:34:15.0646028Z x = self.bn3(x) 2025-08-14T21:34:15.0646386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:34:15.0646785Z x = F.batch_norm( 2025-08-14T21:34:15.0646905Z 2025-08-14T21:34:15.0647042Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0647536Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0647932Z return mod(*inputs) 2025-08-14T21:34:15.0648312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0648726Z x = self.forward_features(x) 2025-08-14T21:34:15.0649158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0649601Z x = self.blocks(x) 2025-08-14T21:34:15.0650004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.0650426Z x = self.conv_pw(x) 2025-08-14T21:34:15.0650804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.0651273Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0651742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.0652204Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0652414Z 2025-08-14T21:34:15.0652538Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0652977Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0653740Z return mod(*inputs) 2025-08-14T21:34:15.0654298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0654733Z x = self.forward_features(x) 2025-08-14T21:34:15.0655177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0655629Z x = self.blocks(x) 2025-08-14T21:34:15.0656141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.0656585Z x = self.conv_pw(x) 2025-08-14T21:34:15.0656961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.0657419Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0657888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.0658352Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0658548Z 2025-08-14T21:34:15.0658674Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0663279Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0663737Z return mod(*inputs) 2025-08-14T21:34:15.0664123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0664556Z x = self.forward_features(x) 2025-08-14T21:34:15.0664995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0665441Z x = self.blocks(x) 2025-08-14T21:34:15.0665846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.0666290Z x = self.conv_pw(x) 2025-08-14T21:34:15.0666672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.0667189Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0667658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.0668121Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0668316Z 2025-08-14T21:34:15.0668452Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0668952Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0669354Z return mod(*inputs) 2025-08-14T21:34:15.0669741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0670167Z x = self.forward_features(x) 2025-08-14T21:34:15.0670602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0671050Z x = self.blocks(x) 2025-08-14T21:34:15.0671455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.0671886Z x = self.conv_pw(x) 2025-08-14T21:34:15.0672269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.0672729Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0673206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.0673737Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0673971Z 2025-08-14T21:34:15.0674087Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.0674338Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.0674624Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0675053Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0675452Z return mod(*inputs) 2025-08-14T21:34:15.0675836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0676253Z x = self.forward_features(x) 2025-08-14T21:34:15.0676741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0677191Z x = self.blocks(x) 2025-08-14T21:34:15.0677593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.0678016Z x = self.conv_pw(x) 2025-08-14T21:34:15.0678398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.0678811Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.0678947Z 2025-08-14T21:34:15.0679070Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0679506Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0679903Z return mod(*inputs) 2025-08-14T21:34:15.0680287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0680703Z x = self.forward_features(x) 2025-08-14T21:34:15.0681142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0681589Z x = self.blocks(x) 2025-08-14T21:34:15.0681982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:34:15.0682415Z x = self.bn1(x) 2025-08-14T21:34:15.0682782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:34:15.0683178Z x = self.act(x) 2025-08-14T21:34:15.0683289Z 2025-08-14T21:34:15.0683414Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0683858Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0684266Z return mod(*inputs) 2025-08-14T21:34:15.0684638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0685060Z x = self.forward_features(x) 2025-08-14T21:34:15.0685501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0685994Z x = self.blocks(x) 2025-08-14T21:34:15.0686389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:34:15.0686824Z x = self.bn2(x) 2025-08-14T21:34:15.0687183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:34:15.0687572Z x = self.act(x) 2025-08-14T21:34:15.0687688Z 2025-08-14T21:34:15.0687810Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0692507Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0692961Z return mod(*inputs) 2025-08-14T21:34:15.0693344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0693773Z x = self.forward_features(x) 2025-08-14T21:34:15.0694216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0694655Z x = self.blocks(x) 2025-08-14T21:34:15.0695060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:34:15.0695497Z x = self.bn2(x) 2025-08-14T21:34:15.0695861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:34:15.0696250Z x = self.act(x) 2025-08-14T21:34:15.0696369Z 2025-08-14T21:34:15.0696493Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0696939Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0697329Z return mod(*inputs) 2025-08-14T21:34:15.0697771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0698204Z x = self.forward_features(x) 2025-08-14T21:34:15.0698637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0699076Z x = self.blocks(x) 2025-08-14T21:34:15.0699483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.0699923Z x = self.conv_pwl(x) 2025-08-14T21:34:15.0700305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.0700775Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0701257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.0701733Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0701931Z 2025-08-14T21:34:15.0702058Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0702570Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0703016Z return mod(*inputs) 2025-08-14T21:34:15.0703401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0703815Z x = self.forward_features(x) 2025-08-14T21:34:15.0704248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0704698Z x = self.blocks(x) 2025-08-14T21:34:15.0705090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.0705531Z x = self.conv_pwl(x) 2025-08-14T21:34:15.0705915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.0706380Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0706964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.0707438Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0707634Z 2025-08-14T21:34:15.0707768Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0708202Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0708601Z return mod(*inputs) 2025-08-14T21:34:15.0708985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0709405Z x = self.forward_features(x) 2025-08-14T21:34:15.0709834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0710282Z x = self.blocks(x) 2025-08-14T21:34:15.0710697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.0711134Z x = self.conv_pwl(x) 2025-08-14T21:34:15.0711517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.0711975Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0712449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.0712916Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0713124Z 2025-08-14T21:34:15.0713249Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0713689Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0714097Z return mod(*inputs) 2025-08-14T21:34:15.0714473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0714965Z x = self.forward_features(x) 2025-08-14T21:34:15.0715407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0715846Z x = self.blocks(x) 2025-08-14T21:34:15.0716256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.0716696Z x = self.conv_pwl(x) 2025-08-14T21:34:15.0725515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.0726142Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0726773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.0727399Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0727660Z 2025-08-14T21:34:15.0727765Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.0728076Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.0728418Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0728975Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0729360Z return mod(*inputs) 2025-08-14T21:34:15.0729740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0730163Z x = self.forward_features(x) 2025-08-14T21:34:15.0730584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0731020Z x = self.blocks(x) 2025-08-14T21:34:15.0731422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.0734002Z x = self.conv_pwl(x) 2025-08-14T21:34:15.0734406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.0734862Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.0734994Z 2025-08-14T21:34:15.0735123Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0735546Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0735937Z return mod(*inputs) 2025-08-14T21:34:15.0736313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0736730Z x = self.forward_features(x) 2025-08-14T21:34:15.0737154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0737591Z x = self.blocks(x) 2025-08-14T21:34:15.0737986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:34:15.0738428Z x = self.drop_path(x) + shortcut 2025-08-14T21:34:15.0738591Z 2025-08-14T21:34:15.0738717Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0739144Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0739537Z return mod(*inputs) 2025-08-14T21:34:15.0739915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0740331Z x = self.forward_features(x) 2025-08-14T21:34:15.0740762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0741194Z x = self.blocks(x) 2025-08-14T21:34:15.0741585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:34:15.0742009Z x = self.bn1(x) 2025-08-14T21:34:15.0742363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:34:15.0742796Z x = self.act(x) 2025-08-14T21:34:15.0742914Z 2025-08-14T21:34:15.0743038Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0743471Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0743856Z return mod(*inputs) 2025-08-14T21:34:15.0744235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0744649Z x = self.forward_features(x) 2025-08-14T21:34:15.0745080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0745514Z x = self.blocks(x) 2025-08-14T21:34:15.0745910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:34:15.0746420Z x = self.bn1(x) 2025-08-14T21:34:15.0746870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:34:15.0747268Z x = self.act(x) 2025-08-14T21:34:15.0747382Z 2025-08-14T21:34:15.0747503Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0747932Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0748315Z return mod(*inputs) 2025-08-14T21:34:15.0748691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0749106Z x = self.forward_features(x) 2025-08-14T21:34:15.0749534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0749976Z x = self.blocks(x) 2025-08-14T21:34:15.0750378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.0750805Z x = self.conv_dw(x) 2025-08-14T21:34:15.0751174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.0751672Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0752139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.0752596Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0752791Z 2025-08-14T21:34:15.0752914Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0753692Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0754094Z return mod(*inputs) 2025-08-14T21:34:15.0754474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0754896Z x = self.forward_features(x) 2025-08-14T21:34:15.0755335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0755781Z x = self.blocks(x) 2025-08-14T21:34:15.0756174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.0756608Z x = self.conv_dw(x) 2025-08-14T21:34:15.0756980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.0757429Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0757891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.0758350Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0758545Z 2025-08-14T21:34:15.0758673Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0759098Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0759578Z return mod(*inputs) 2025-08-14T21:34:15.0759965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0760378Z x = self.forward_features(x) 2025-08-14T21:34:15.0764992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0765491Z x = self.blocks(x) 2025-08-14T21:34:15.0765891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.0766312Z x = self.conv_dw(x) 2025-08-14T21:34:15.0766684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.0767135Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0767591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.0768061Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0768266Z 2025-08-14T21:34:15.0768390Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0768828Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0769214Z return mod(*inputs) 2025-08-14T21:34:15.0769593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0770005Z x = self.forward_features(x) 2025-08-14T21:34:15.0770434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0770864Z x = self.blocks(x) 2025-08-14T21:34:15.0771262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.0771687Z x = self.conv_dw(x) 2025-08-14T21:34:15.0772063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.0772575Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0773033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.0773495Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0773689Z 2025-08-14T21:34:15.0773813Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0774246Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0774638Z return mod(*inputs) 2025-08-14T21:34:15.0775078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0775548Z x = self.forward_features(x) 2025-08-14T21:34:15.0775980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0776428Z x = self.blocks(x) 2025-08-14T21:34:15.0776818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.0777247Z x = self.conv_dw(x) 2025-08-14T21:34:15.0777616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.0778064Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0778523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.0778987Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0779180Z 2025-08-14T21:34:15.0779310Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0779734Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0780171Z return mod(*inputs) 2025-08-14T21:34:15.0780562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0780983Z x = self.forward_features(x) 2025-08-14T21:34:15.0781415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0781855Z x = self.blocks(x) 2025-08-14T21:34:15.0782250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.0782671Z x = self.conv_dw(x) 2025-08-14T21:34:15.0783040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.0783491Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0783950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.0784409Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0784613Z 2025-08-14T21:34:15.0784736Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0785171Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0785559Z return mod(*inputs) 2025-08-14T21:34:15.0785939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0786359Z x = self.forward_features(x) 2025-08-14T21:34:15.0786869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0787312Z x = self.blocks(x) 2025-08-14T21:34:15.0787714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.0788147Z x = self.conv_dw(x) 2025-08-14T21:34:15.0788515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.0789022Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0793715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.0794230Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0794425Z 2025-08-14T21:34:15.0794549Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0794980Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0795373Z return mod(*inputs) 2025-08-14T21:34:15.0795749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0796185Z x = self.forward_features(x) 2025-08-14T21:34:15.0796622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0797072Z x = self.blocks(x) 2025-08-14T21:34:15.0797466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.0797901Z x = self.conv_dw(x) 2025-08-14T21:34:15.0798277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.0798723Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0799173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.0799628Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0799822Z 2025-08-14T21:34:15.0799922Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.0800163Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.0800406Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.0800647Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.0800974Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0801408Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0801801Z return mod(*inputs) 2025-08-14T21:34:15.0802180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0802592Z x = self.forward_features(x) 2025-08-14T21:34:15.0803025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0803467Z x = self.blocks(x) 2025-08-14T21:34:15.0803864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.0804373Z x = self.conv_dw(x) 2025-08-14T21:34:15.0804809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.0805224Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.0805360Z 2025-08-14T21:34:15.0805482Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0805920Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0806316Z return mod(*inputs) 2025-08-14T21:34:15.0806698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0807121Z x = self.forward_features(x) 2025-08-14T21:34:15.0807561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0808012Z x = self.blocks(x) 2025-08-14T21:34:15.0808410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:34:15.0808845Z x = self.bn2(x) 2025-08-14T21:34:15.0809208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:34:15.0809643Z x = F.batch_norm( 2025-08-14T21:34:15.0809766Z 2025-08-14T21:34:15.0809889Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0810331Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0810724Z return mod(*inputs) 2025-08-14T21:34:15.0811102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0811524Z x = self.forward_features(x) 2025-08-14T21:34:15.0811961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0812412Z x = self.blocks(x) 2025-08-14T21:34:15.0812809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:34:15.0813242Z x = self.bn2(x) 2025-08-14T21:34:15.0813609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:34:15.0813997Z x = self.act(x) 2025-08-14T21:34:15.0814114Z 2025-08-14T21:34:15.0814245Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0814686Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0815079Z return mod(*inputs) 2025-08-14T21:34:15.0815454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0815873Z x = self.forward_features(x) 2025-08-14T21:34:15.0816303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0816738Z x = self.blocks(x) 2025-08-14T21:34:15.0817140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.0817565Z x = self.se(x) 2025-08-14T21:34:15.0818001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:34:15.0818441Z x_se = self.act1(x_se) 2025-08-14T21:34:15.0822828Z 2025-08-14T21:34:15.0822953Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0823442Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0823827Z return mod(*inputs) 2025-08-14T21:34:15.0824212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0824627Z x = self.forward_features(x) 2025-08-14T21:34:15.0825063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0825496Z x = self.blocks(x) 2025-08-14T21:34:15.0825903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.0826332Z x = self.se(x) 2025-08-14T21:34:15.0826718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:34:15.0827218Z x_se = self.act1(x_se) 2025-08-14T21:34:15.0827347Z 2025-08-14T21:34:15.0827476Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0827912Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0828299Z return mod(*inputs) 2025-08-14T21:34:15.0828682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0829103Z x = self.forward_features(x) 2025-08-14T21:34:15.0829534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0829977Z x = self.blocks(x) 2025-08-14T21:34:15.0830380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.0830906Z x = self.se(x) 2025-08-14T21:34:15.0831286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.0831721Z return x * self.gate(x_se) 2025-08-14T21:34:15.0831862Z 2025-08-14T21:34:15.0831994Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0832429Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0832823Z return mod(*inputs) 2025-08-14T21:34:15.0833294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0833776Z x = self.forward_features(x) 2025-08-14T21:34:15.0834203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0834644Z x = self.blocks(x) 2025-08-14T21:34:15.0835058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.0835482Z x = self.se(x) 2025-08-14T21:34:15.0835874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.0836308Z return x * self.gate(x_se) 2025-08-14T21:34:15.0836447Z 2025-08-14T21:34:15.0836575Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0837003Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0837395Z return mod(*inputs) 2025-08-14T21:34:15.0837784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0838202Z x = self.forward_features(x) 2025-08-14T21:34:15.0838682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0839124Z x = self.blocks(x) 2025-08-14T21:34:15.0839520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.0839936Z x = self.se(x) 2025-08-14T21:34:15.0840323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.0840755Z return x * self.gate(x_se) 2025-08-14T21:34:15.0840894Z 2025-08-14T21:34:15.0841015Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0841450Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0841842Z return mod(*inputs) 2025-08-14T21:34:15.0842228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0842640Z x = self.forward_features(x) 2025-08-14T21:34:15.0843073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0843516Z x = self.blocks(x) 2025-08-14T21:34:15.0843908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.0844336Z x = self.conv_pwl(x) 2025-08-14T21:34:15.0844467Z 2025-08-14T21:34:15.0844588Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0845018Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0845400Z return mod(*inputs) 2025-08-14T21:34:15.0845780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0846195Z x = self.forward_features(x) 2025-08-14T21:34:15.0846622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0847060Z x = self.blocks(x) 2025-08-14T21:34:15.0856069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.0856653Z x = self.conv_pwl(x) 2025-08-14T21:34:15.0856804Z 2025-08-14T21:34:15.0856946Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0857518Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0858040Z return mod(*inputs) 2025-08-14T21:34:15.0858500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0858937Z x = self.forward_features(x) 2025-08-14T21:34:15.0859375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0859821Z x = self.blocks(x) 2025-08-14T21:34:15.0860220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.0860655Z x = self.conv_pw(x) 2025-08-14T21:34:15.0861038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.0861496Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0861975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.0862567Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0862766Z 2025-08-14T21:34:15.0862901Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0863327Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0863724Z return mod(*inputs) 2025-08-14T21:34:15.0864113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0864624Z x = self.forward_features(x) 2025-08-14T21:34:15.0865059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0865510Z x = self.blocks(x) 2025-08-14T21:34:15.0865915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.0866344Z x = self.conv_pw(x) 2025-08-14T21:34:15.0866732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.0867258Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0867725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.0868184Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0868390Z 2025-08-14T21:34:15.0868513Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0868952Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0869346Z return mod(*inputs) 2025-08-14T21:34:15.0869742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0870164Z x = self.forward_features(x) 2025-08-14T21:34:15.0870603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0871034Z x = self.blocks(x) 2025-08-14T21:34:15.0871432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.0871863Z x = self.conv_pw(x) 2025-08-14T21:34:15.0872227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.0872675Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0873142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.0873699Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0873894Z 2025-08-14T21:34:15.0874017Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0874452Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0874847Z return mod(*inputs) 2025-08-14T21:34:15.0875227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0875640Z x = self.forward_features(x) 2025-08-14T21:34:15.0876072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0876588Z x = self.blocks(x) 2025-08-14T21:34:15.0877043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.0877490Z x = self.conv_pw(x) 2025-08-14T21:34:15.0877871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.0878324Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0878784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.0879256Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0879453Z 2025-08-14T21:34:15.0879562Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.0879806Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.0880092Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0880533Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0880930Z return mod(*inputs) 2025-08-14T21:34:15.0881396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0881826Z x = self.forward_features(x) 2025-08-14T21:34:15.0882261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0882701Z x = self.blocks(x) 2025-08-14T21:34:15.0883106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.0883542Z x = self.conv_pw(x) 2025-08-14T21:34:15.0883917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.0884327Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.0884470Z 2025-08-14T21:34:15.0884593Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0885033Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0885475Z return mod(*inputs) 2025-08-14T21:34:15.0885870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0886298Z x = self.forward_features(x) 2025-08-14T21:34:15.0886733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0887172Z x = self.blocks(x) 2025-08-14T21:34:15.0887571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:34:15.0887998Z x = self.bn1(x) 2025-08-14T21:34:15.0888345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:34:15.0888743Z x = F.batch_norm( 2025-08-14T21:34:15.0888868Z 2025-08-14T21:34:15.0888987Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0889422Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0889859Z return mod(*inputs) 2025-08-14T21:34:15.0890240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0890665Z x = self.forward_features(x) 2025-08-14T21:34:15.0897368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0897815Z x = self.blocks(x) 2025-08-14T21:34:15.0898215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:34:15.0898642Z x = self.bn1(x) 2025-08-14T21:34:15.0898990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:34:15.0899386Z x = self.act(x) 2025-08-14T21:34:15.0899495Z 2025-08-14T21:34:15.0899604Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.0899875Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0900323Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0900718Z return mod(*inputs) 2025-08-14T21:34:15.0901100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0901520Z x = self.forward_features(x) 2025-08-14T21:34:15.0918808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0919383Z x = self.blocks(x) 2025-08-14T21:34:15.0919814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.0924684Z x = self.conv_dw(x) 2025-08-14T21:34:15.0925096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.0925566Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0926164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.0926634Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0926837Z 2025-08-14T21:34:15.0926968Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0927408Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0927805Z return mod(*inputs) 2025-08-14T21:34:15.0928191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0928612Z x = self.forward_features(x) 2025-08-14T21:34:15.0929055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0929491Z x = self.blocks(x) 2025-08-14T21:34:15.0929902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.0930336Z x = self.conv_dw(x) 2025-08-14T21:34:15.0930715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.0931172Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0931641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.0932102Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0932298Z 2025-08-14T21:34:15.0932397Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.0932678Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0933116Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0933511Z return mod(*inputs) 2025-08-14T21:34:15.0933895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0934369Z x = self.forward_features(x) 2025-08-14T21:34:15.0934880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0935369Z x = self.blocks(x) 2025-08-14T21:34:15.0935768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.0936197Z x = self.conv_dw(x) 2025-08-14T21:34:15.0936572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.0937023Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0937487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.0937946Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0938139Z 2025-08-14T21:34:15.0938272Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0938703Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0939098Z return mod(*inputs) 2025-08-14T21:34:15.0939486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0939904Z x = self.forward_features(x) 2025-08-14T21:34:15.0940333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0940772Z x = self.blocks(x) 2025-08-14T21:34:15.0941169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.0941591Z x = self.conv_dw(x) 2025-08-14T21:34:15.0941965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.0942467Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0942926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.0943386Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0943585Z 2025-08-14T21:34:15.0943683Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.0943933Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.0944199Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0944633Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0945032Z return mod(*inputs) 2025-08-14T21:34:15.0945413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0945833Z x = self.forward_features(x) 2025-08-14T21:34:15.0946267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0946705Z x = self.blocks(x) 2025-08-14T21:34:15.0947175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.0947597Z x = self.conv_dw(x) 2025-08-14T21:34:15.0947970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.0948374Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.0948513Z 2025-08-14T21:34:15.0948607Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.0948882Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0953845Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0954235Z return mod(*inputs) 2025-08-14T21:34:15.0954621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0955037Z x = self.forward_features(x) 2025-08-14T21:34:15.0955567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0956011Z x = self.blocks(x) 2025-08-14T21:34:15.0956410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.0956847Z x = self.se(x) 2025-08-14T21:34:15.0957236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:34:15.0957676Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:34:15.0957837Z 2025-08-14T21:34:15.0957964Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0958394Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0958785Z return mod(*inputs) 2025-08-14T21:34:15.0959170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0959591Z x = self.forward_features(x) 2025-08-14T21:34:15.0960019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0960458Z x = self.blocks(x) 2025-08-14T21:34:15.0960860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.0961281Z x = self.se(x) 2025-08-14T21:34:15.0961670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:34:15.0962099Z x_se = self.act1(x_se) 2025-08-14T21:34:15.0962230Z 2025-08-14T21:34:15.0962359Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0962786Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0963182Z return mod(*inputs) 2025-08-14T21:34:15.0963709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0964192Z x = self.forward_features(x) 2025-08-14T21:34:15.0964629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0965063Z x = self.blocks(x) 2025-08-14T21:34:15.0965458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.0965876Z x = self.se(x) 2025-08-14T21:34:15.0966267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:34:15.0966698Z x_se = self.act1(x_se) 2025-08-14T21:34:15.0966828Z 2025-08-14T21:34:15.0966956Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0967390Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0967782Z return mod(*inputs) 2025-08-14T21:34:15.0968165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0968576Z x = self.forward_features(x) 2025-08-14T21:34:15.0969002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0969434Z x = self.blocks(x) 2025-08-14T21:34:15.0969820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.0970243Z x = self.se(x) 2025-08-14T21:34:15.0970623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.0971055Z return x * self.gate(x_se) 2025-08-14T21:34:15.0971191Z 2025-08-14T21:34:15.0971314Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0971747Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0972195Z return mod(*inputs) 2025-08-14T21:34:15.0972571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0972991Z x = self.forward_features(x) 2025-08-14T21:34:15.0973415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0973857Z x = self.blocks(x) 2025-08-14T21:34:15.0974251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.0974674Z x = self.se(x) 2025-08-14T21:34:15.0975055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.0975481Z return x * self.gate(x_se) 2025-08-14T21:34:15.0975630Z 2025-08-14T21:34:15.0975755Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0976192Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0976579Z return mod(*inputs) 2025-08-14T21:34:15.0976952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0977365Z x = self.forward_features(x) 2025-08-14T21:34:15.0977789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0982404Z x = self.blocks(x) 2025-08-14T21:34:15.0982860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.0983283Z x = self.se(x) 2025-08-14T21:34:15.0983668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.0984095Z return x * self.gate(x_se) 2025-08-14T21:34:15.0984241Z 2025-08-14T21:34:15.0984386Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.0984667Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0985095Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0985485Z return mod(*inputs) 2025-08-14T21:34:15.0985863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0986280Z x = self.forward_features(x) 2025-08-14T21:34:15.0986703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0987210Z x = self.blocks(x) 2025-08-14T21:34:15.0987608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.0988037Z x = self.conv_pwl(x) 2025-08-14T21:34:15.0988414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.0988873Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0989342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.0989806Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0990008Z 2025-08-14T21:34:15.0990134Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0990572Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0990966Z return mod(*inputs) 2025-08-14T21:34:15.0991342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0991756Z x = self.forward_features(x) 2025-08-14T21:34:15.0992187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0992692Z x = self.blocks(x) 2025-08-14T21:34:15.0993197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.0993637Z x = self.conv_pwl(x) 2025-08-14T21:34:15.0994020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.0994469Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0994934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.0995395Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.0995590Z 2025-08-14T21:34:15.0995688Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.0995964Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.0996392Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.0996787Z return mod(*inputs) 2025-08-14T21:34:15.0997167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.0997588Z x = self.forward_features(x) 2025-08-14T21:34:15.0998012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.0998444Z x = self.blocks(x) 2025-08-14T21:34:15.0998839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.0999266Z x = self.conv_pwl(x) 2025-08-14T21:34:15.0999644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1000087Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1000545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1001054Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1001252Z 2025-08-14T21:34:15.1001379Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1001805Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1002192Z return mod(*inputs) 2025-08-14T21:34:15.1002572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1002981Z x = self.forward_features(x) 2025-08-14T21:34:15.1003410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1003848Z x = self.blocks(x) 2025-08-14T21:34:15.1004246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1004670Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1005051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1005499Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1005955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1006417Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1006615Z 2025-08-14T21:34:15.1006711Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1006957Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1015663Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1016278Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1016782Z return mod(*inputs) 2025-08-14T21:34:15.1017261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1017832Z x = self.forward_features(x) 2025-08-14T21:34:15.1018344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1018843Z x = self.blocks(x) 2025-08-14T21:34:15.1019235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1019668Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1020053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.1020454Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.1020593Z 2025-08-14T21:34:15.1020718Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1021152Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1023671Z return mod(*inputs) 2025-08-14T21:34:15.1024051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1024478Z x = self.forward_features(x) 2025-08-14T21:34:15.1024906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1025338Z x = self.blocks(x) 2025-08-14T21:34:15.1025736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:34:15.1026180Z x = self.drop_path(x) + shortcut 2025-08-14T21:34:15.1026336Z 2025-08-14T21:34:15.1026461Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1026959Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1027352Z return mod(*inputs) 2025-08-14T21:34:15.1027729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1028140Z x = self.forward_features(x) 2025-08-14T21:34:15.1028623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1029065Z x = self.blocks(x) 2025-08-14T21:34:15.1029461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.1029881Z x = self.conv_pw(x) 2025-08-14T21:34:15.1030258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1030715Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1031174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1031642Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1031844Z 2025-08-14T21:34:15.1031966Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1032406Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1032799Z return mod(*inputs) 2025-08-14T21:34:15.1033180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1033597Z x = self.forward_features(x) 2025-08-14T21:34:15.1033894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1033974Z x = self.blocks(x) 2025-08-14T21:34:15.1034262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.1034340Z x = self.conv_pw(x) 2025-08-14T21:34:15.1034607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1034730Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1035003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1035176Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1035189Z 2025-08-14T21:34:15.1035316Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1035567Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1035643Z return mod(*inputs) 2025-08-14T21:34:15.1035910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1036093Z x = self.forward_features(x) 2025-08-14T21:34:15.1036399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1036526Z x = self.blocks(x) 2025-08-14T21:34:15.1036818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.1036894Z x = self.conv_pw(x) 2025-08-14T21:34:15.1037160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1037286Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1037556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1037681Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1037695Z 2025-08-14T21:34:15.1037818Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1038077Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1038154Z return mod(*inputs) 2025-08-14T21:34:15.1038418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1038511Z x = self.forward_features(x) 2025-08-14T21:34:15.1038862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1038941Z x = self.blocks(x) 2025-08-14T21:34:15.1039232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.1039307Z x = self.conv_pw(x) 2025-08-14T21:34:15.1039572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1039694Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1039962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1040089Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1040101Z 2025-08-14T21:34:15.1040198Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1040293Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1040425Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1040673Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1040758Z return mod(*inputs) 2025-08-14T21:34:15.1041022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1041104Z x = self.forward_features(x) 2025-08-14T21:34:15.1041403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1041476Z x = self.blocks(x) 2025-08-14T21:34:15.1041761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.1041842Z x = self.conv_pw(x) 2025-08-14T21:34:15.1042101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.1042190Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.1042202Z 2025-08-14T21:34:15.1042376Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1042624Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1042707Z return mod(*inputs) 2025-08-14T21:34:15.1042969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1043058Z x = self.forward_features(x) 2025-08-14T21:34:15.1043350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1043424Z x = self.blocks(x) 2025-08-14T21:34:15.1043712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:34:15.1043785Z x = self.bn1(x) 2025-08-14T21:34:15.1044036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:34:15.1044120Z x = F.batch_norm( 2025-08-14T21:34:15.1044136Z 2025-08-14T21:34:15.1044259Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1044509Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1044585Z return mod(*inputs) 2025-08-14T21:34:15.1044849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1044937Z x = self.forward_features(x) 2025-08-14T21:34:15.1045229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1045303Z x = self.blocks(x) 2025-08-14T21:34:15.1045593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:34:15.1045666Z x = self.bn1(x) 2025-08-14T21:34:15.1045968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:34:15.1046045Z x = self.act(x) 2025-08-14T21:34:15.1046058Z 2025-08-14T21:34:15.1046152Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1046277Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1046522Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1046598Z return mod(*inputs) 2025-08-14T21:34:15.1046869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1046952Z x = self.forward_features(x) 2025-08-14T21:34:15.1047256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1047330Z x = self.blocks(x) 2025-08-14T21:34:15.1047615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1047704Z x = self.conv_dw(x) 2025-08-14T21:34:15.1047963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1048084Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1048359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1048478Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1048491Z 2025-08-14T21:34:15.1048615Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1048858Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1048933Z return mod(*inputs) 2025-08-14T21:34:15.1049201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1049283Z x = self.forward_features(x) 2025-08-14T21:34:15.1049587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1049703Z x = self.blocks(x) 2025-08-14T21:34:15.1049986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1050069Z x = self.conv_dw(x) 2025-08-14T21:34:15.1050328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1050448Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1055212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1055333Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1055347Z 2025-08-14T21:34:15.1055447Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1055567Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1055815Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1055900Z return mod(*inputs) 2025-08-14T21:34:15.1056168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1056253Z x = self.forward_features(x) 2025-08-14T21:34:15.1056551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1056626Z x = self.blocks(x) 2025-08-14T21:34:15.1056917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1056993Z x = self.conv_dw(x) 2025-08-14T21:34:15.1057344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1057532Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1057881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1058004Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1058023Z 2025-08-14T21:34:15.1058142Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1058385Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1058466Z return mod(*inputs) 2025-08-14T21:34:15.1058730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1058815Z x = self.forward_features(x) 2025-08-14T21:34:15.1059120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1059194Z x = self.blocks(x) 2025-08-14T21:34:15.1059494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1059574Z x = self.conv_dw(x) 2025-08-14T21:34:15.1059832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1059960Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1060228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1060349Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1060362Z 2025-08-14T21:34:15.1060464Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1060558Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1060687Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1060932Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1061008Z return mod(*inputs) 2025-08-14T21:34:15.1061281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1061419Z x = self.forward_features(x) 2025-08-14T21:34:15.1061711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1061793Z x = self.blocks(x) 2025-08-14T21:34:15.1062078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1062164Z x = self.conv_dw(x) 2025-08-14T21:34:15.1062421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.1062505Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.1062518Z 2025-08-14T21:34:15.1062617Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1062738Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1062984Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1063069Z return mod(*inputs) 2025-08-14T21:34:15.1063333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1063419Z x = self.forward_features(x) 2025-08-14T21:34:15.1063710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1063785Z x = self.blocks(x) 2025-08-14T21:34:15.1064075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1064148Z x = self.se(x) 2025-08-14T21:34:15.1064430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:34:15.1064526Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:34:15.1064539Z 2025-08-14T21:34:15.1064657Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1064945Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1065100Z return mod(*inputs) 2025-08-14T21:34:15.1065366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1065495Z x = self.forward_features(x) 2025-08-14T21:34:15.1065809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1065883Z x = self.blocks(x) 2025-08-14T21:34:15.1066174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1066246Z x = self.se(x) 2025-08-14T21:34:15.1066536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:34:15.1066616Z x_se = self.act1(x_se) 2025-08-14T21:34:15.1066629Z 2025-08-14T21:34:15.1066753Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1067071Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1067147Z return mod(*inputs) 2025-08-14T21:34:15.1067417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1067499Z x = self.forward_features(x) 2025-08-14T21:34:15.1067788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1067866Z x = self.blocks(x) 2025-08-14T21:34:15.1068146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1068215Z x = self.se(x) 2025-08-14T21:34:15.1068498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:34:15.1068576Z x_se = self.act1(x_se) 2025-08-14T21:34:15.1068593Z 2025-08-14T21:34:15.1068771Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1069014Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1069090Z return mod(*inputs) 2025-08-14T21:34:15.1069360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1069441Z x = self.forward_features(x) 2025-08-14T21:34:15.1069730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1069810Z x = self.blocks(x) 2025-08-14T21:34:15.1070090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1070164Z x = self.se(x) 2025-08-14T21:34:15.1070443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.1070530Z return x * self.gate(x_se) 2025-08-14T21:34:15.1070546Z 2025-08-14T21:34:15.1070673Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1070913Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1070989Z return mod(*inputs) 2025-08-14T21:34:15.1071262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1071348Z x = self.forward_features(x) 2025-08-14T21:34:15.1071646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1071723Z x = self.blocks(x) 2025-08-14T21:34:15.1072002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1072078Z x = self.se(x) 2025-08-14T21:34:15.1072409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.1072498Z return x * self.gate(x_se) 2025-08-14T21:34:15.1072515Z 2025-08-14T21:34:15.1072635Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1072875Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1072957Z return mod(*inputs) 2025-08-14T21:34:15.1073221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1073302Z x = self.forward_features(x) 2025-08-14T21:34:15.1073604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1073678Z x = self.blocks(x) 2025-08-14T21:34:15.1073965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1074036Z x = self.se(x) 2025-08-14T21:34:15.1074316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.1074409Z return x * self.gate(x_se) 2025-08-14T21:34:15.1074422Z 2025-08-14T21:34:15.1074514Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1074633Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1074879Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1074953Z return mod(*inputs) 2025-08-14T21:34:15.1075219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1075300Z x = self.forward_features(x) 2025-08-14T21:34:15.1075590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1075669Z x = self.blocks(x) 2025-08-14T21:34:15.1075956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1076076Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1076339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1076468Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1076743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1076864Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1076878Z 2025-08-14T21:34:15.1076996Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1077244Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1077319Z return mod(*inputs) 2025-08-14T21:34:15.1077582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1077675Z x = self.forward_features(x) 2025-08-14T21:34:15.1077966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1078044Z x = self.blocks(x) 2025-08-14T21:34:15.1078325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1078403Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1078668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1078790Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1079063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1079183Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1079195Z 2025-08-14T21:34:15.1079330Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1079458Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1083917Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1084003Z return mod(*inputs) 2025-08-14T21:34:15.1084313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1084397Z x = self.forward_features(x) 2025-08-14T21:34:15.1084693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1084767Z x = self.blocks(x) 2025-08-14T21:34:15.1085047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1085130Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1085390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1085513Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1085788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1085905Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1085918Z 2025-08-14T21:34:15.1086045Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1086286Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1086360Z return mod(*inputs) 2025-08-14T21:34:15.1086630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1086712Z x = self.forward_features(x) 2025-08-14T21:34:15.1087008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1087081Z x = self.blocks(x) 2025-08-14T21:34:15.1087362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1087489Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1087746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1087865Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1088141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1088257Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1088269Z 2025-08-14T21:34:15.1088368Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1088458Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1088578Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1088829Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1088914Z return mod(*inputs) 2025-08-14T21:34:15.1089187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1089278Z x = self.forward_features(x) 2025-08-14T21:34:15.1089572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1089654Z x = self.blocks(x) 2025-08-14T21:34:15.1089940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1090018Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1090284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.1090365Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.1090378Z 2025-08-14T21:34:15.1090503Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1090869Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1090950Z return mod(*inputs) 2025-08-14T21:34:15.1091225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1091311Z x = self.forward_features(x) 2025-08-14T21:34:15.1091606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1091692Z x = self.blocks(x) 2025-08-14T21:34:15.1091979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:34:15.1092066Z x = self.drop_path(x) + shortcut 2025-08-14T21:34:15.1092085Z 2025-08-14T21:34:15.1092208Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1092452Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1092535Z return mod(*inputs) 2025-08-14T21:34:15.1092804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1092888Z x = self.forward_features(x) 2025-08-14T21:34:15.1093195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1093272Z x = self.blocks(x) 2025-08-14T21:34:15.1093570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.1093648Z x = self.conv_pw(x) 2025-08-14T21:34:15.1093906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1094110Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1094381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1094568Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1094627Z 2025-08-14T21:34:15.1094757Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1095002Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1095087Z return mod(*inputs) 2025-08-14T21:34:15.1095351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1095436Z x = self.forward_features(x) 2025-08-14T21:34:15.1095735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1095810Z x = self.blocks(x) 2025-08-14T21:34:15.1096096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.1096182Z x = self.conv_pw(x) 2025-08-14T21:34:15.1096444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1096580Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1096850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1096967Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1096980Z 2025-08-14T21:34:15.1097101Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1097343Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1097424Z return mod(*inputs) 2025-08-14T21:34:15.1097685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1097767Z x = self.forward_features(x) 2025-08-14T21:34:15.1098064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1098185Z x = self.blocks(x) 2025-08-14T21:34:15.1098467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.1098547Z x = self.conv_pw(x) 2025-08-14T21:34:15.1098802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1098925Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1099193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1099312Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1099324Z 2025-08-14T21:34:15.1099446Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1099689Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1099764Z return mod(*inputs) 2025-08-14T21:34:15.1100033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1100121Z x = self.forward_features(x) 2025-08-14T21:34:15.1100417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1100490Z x = self.blocks(x) 2025-08-14T21:34:15.1100773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.1100853Z x = self.conv_pw(x) 2025-08-14T21:34:15.1101110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1101231Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1101503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1101624Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1101688Z 2025-08-14T21:34:15.1101787Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1101877Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1101996Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1102243Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1102319Z return mod(*inputs) 2025-08-14T21:34:15.1102586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1102668Z x = self.forward_features(x) 2025-08-14T21:34:15.1102958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1103036Z x = self.blocks(x) 2025-08-14T21:34:15.1103317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.1103396Z x = self.conv_pw(x) 2025-08-14T21:34:15.1103657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.1103737Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.1103750Z 2025-08-14T21:34:15.1103874Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1104115Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1104190Z return mod(*inputs) 2025-08-14T21:34:15.1104455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1104537Z x = self.forward_features(x) 2025-08-14T21:34:15.1104826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1104907Z x = self.blocks(x) 2025-08-14T21:34:15.1105228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:34:15.1105306Z x = self.bn1(x) 2025-08-14T21:34:15.1105559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:34:15.1105635Z x = F.batch_norm( 2025-08-14T21:34:15.1105648Z 2025-08-14T21:34:15.1105772Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1106018Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1106095Z return mod(*inputs) 2025-08-14T21:34:15.1106364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1106445Z x = self.forward_features(x) 2025-08-14T21:34:15.1106743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1106890Z x = self.blocks(x) 2025-08-14T21:34:15.1107176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:34:15.1107256Z x = self.bn1(x) 2025-08-14T21:34:15.1107505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:34:15.1107575Z x = self.act(x) 2025-08-14T21:34:15.1107591Z 2025-08-14T21:34:15.1107683Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1107801Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1108043Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1108122Z return mod(*inputs) 2025-08-14T21:34:15.1108383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1108468Z x = self.forward_features(x) 2025-08-14T21:34:15.1113000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1113170Z x = self.blocks(x) 2025-08-14T21:34:15.1113457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1113530Z x = self.conv_dw(x) 2025-08-14T21:34:15.1113791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1113913Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1114183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1114310Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1114323Z 2025-08-14T21:34:15.1114441Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1114687Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1114762Z return mod(*inputs) 2025-08-14T21:34:15.1115030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1115115Z x = self.forward_features(x) 2025-08-14T21:34:15.1115407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1115479Z x = self.blocks(x) 2025-08-14T21:34:15.1115764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1115836Z x = self.conv_dw(x) 2025-08-14T21:34:15.1116097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1116215Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1116480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1116647Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1116663Z 2025-08-14T21:34:15.1116757Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1116877Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1117121Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1117196Z return mod(*inputs) 2025-08-14T21:34:15.1117465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1117548Z x = self.forward_features(x) 2025-08-14T21:34:15.1117843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1117919Z x = self.blocks(x) 2025-08-14T21:34:15.1118201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1118276Z x = self.conv_dw(x) 2025-08-14T21:34:15.1118539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1118662Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1118933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1119050Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1119063Z 2025-08-14T21:34:15.1119181Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1119424Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1119498Z return mod(*inputs) 2025-08-14T21:34:15.1119764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1119843Z x = self.forward_features(x) 2025-08-14T21:34:15.1120136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1120257Z x = self.blocks(x) 2025-08-14T21:34:15.1120539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1120613Z x = self.conv_dw(x) 2025-08-14T21:34:15.1120870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1120992Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1121267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1121385Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1121398Z 2025-08-14T21:34:15.1121488Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1121581Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1121704Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1121949Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1122028Z return mod(*inputs) 2025-08-14T21:34:15.1122290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1122377Z x = self.forward_features(x) 2025-08-14T21:34:15.1122664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1122737Z x = self.blocks(x) 2025-08-14T21:34:15.1123097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1123172Z x = self.conv_dw(x) 2025-08-14T21:34:15.1123456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.1123558Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.1123571Z 2025-08-14T21:34:15.1123704Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1123833Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1124075Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1124149Z return mod(*inputs) 2025-08-14T21:34:15.1124415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1124498Z x = self.forward_features(x) 2025-08-14T21:34:15.1124788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1124867Z x = self.blocks(x) 2025-08-14T21:34:15.1125146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1125220Z x = self.se(x) 2025-08-14T21:34:15.1125504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:34:15.1125594Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:34:15.1125607Z 2025-08-14T21:34:15.1125730Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1125970Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1126050Z return mod(*inputs) 2025-08-14T21:34:15.1126314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1126395Z x = self.forward_features(x) 2025-08-14T21:34:15.1126689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1126763Z x = self.blocks(x) 2025-08-14T21:34:15.1127044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1127118Z x = self.se(x) 2025-08-14T21:34:15.1127403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:34:15.1127532Z x_se = self.act1(x_se) 2025-08-14T21:34:15.1127545Z 2025-08-14T21:34:15.1127665Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1127906Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1127986Z return mod(*inputs) 2025-08-14T21:34:15.1128247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1128328Z x = self.forward_features(x) 2025-08-14T21:34:15.1128621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1128695Z x = self.blocks(x) 2025-08-14T21:34:15.1128980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1129055Z x = self.se(x) 2025-08-14T21:34:15.1129338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:34:15.1129420Z x_se = self.act1(x_se) 2025-08-14T21:34:15.1129433Z 2025-08-14T21:34:15.1129550Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1129789Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1129868Z return mod(*inputs) 2025-08-14T21:34:15.1130131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1130216Z x = self.forward_features(x) 2025-08-14T21:34:15.1130510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1130585Z x = self.blocks(x) 2025-08-14T21:34:15.1130924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1130998Z x = self.se(x) 2025-08-14T21:34:15.1131278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.1131362Z return x * self.gate(x_se) 2025-08-14T21:34:15.1131375Z 2025-08-14T21:34:15.1131492Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1131734Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1131806Z return mod(*inputs) 2025-08-14T21:34:15.1132065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1132150Z x = self.forward_features(x) 2025-08-14T21:34:15.1132439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1132516Z x = self.blocks(x) 2025-08-14T21:34:15.1132796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1132869Z x = self.se(x) 2025-08-14T21:34:15.1133147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.1133227Z return x * self.gate(x_se) 2025-08-14T21:34:15.1133240Z 2025-08-14T21:34:15.1133359Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1133604Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1133677Z return mod(*inputs) 2025-08-14T21:34:15.1133941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1134022Z x = self.forward_features(x) 2025-08-14T21:34:15.1134312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1134447Z x = self.blocks(x) 2025-08-14T21:34:15.1134729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1134798Z x = self.se(x) 2025-08-14T21:34:15.1135081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.1135164Z return x * self.gate(x_se) 2025-08-14T21:34:15.1135176Z 2025-08-14T21:34:15.1135270Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1135387Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1135626Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1135705Z return mod(*inputs) 2025-08-14T21:34:15.1135965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1136046Z x = self.forward_features(x) 2025-08-14T21:34:15.1136344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1136420Z x = self.blocks(x) 2025-08-14T21:34:15.1136703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1136781Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1137038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1137167Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1137434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1141820Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1141834Z 2025-08-14T21:34:15.1141953Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1142292Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1142382Z return mod(*inputs) 2025-08-14T21:34:15.1142645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1142727Z x = self.forward_features(x) 2025-08-14T21:34:15.1143025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1143102Z x = self.blocks(x) 2025-08-14T21:34:15.1143389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1143466Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1143724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1143851Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1144127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1144251Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1144269Z 2025-08-14T21:34:15.1144361Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1144481Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1144725Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1144799Z return mod(*inputs) 2025-08-14T21:34:15.1145062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1145149Z x = self.forward_features(x) 2025-08-14T21:34:15.1145445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1145519Z x = self.blocks(x) 2025-08-14T21:34:15.1145806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1145924Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1146191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1146311Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1146579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1146701Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1146713Z 2025-08-14T21:34:15.1146900Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1147147Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1147221Z return mod(*inputs) 2025-08-14T21:34:15.1147483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1147575Z x = self.forward_features(x) 2025-08-14T21:34:15.1147873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1147950Z x = self.blocks(x) 2025-08-14T21:34:15.1148239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1148316Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1148580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1148701Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1148967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1149090Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1149103Z 2025-08-14T21:34:15.1149193Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1149330Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1149458Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1149699Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1149781Z return mod(*inputs) 2025-08-14T21:34:15.1150049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1150132Z x = self.forward_features(x) 2025-08-14T21:34:15.1150430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1150503Z x = self.blocks(x) 2025-08-14T21:34:15.1150784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1150865Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1151128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.1151216Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.1151229Z 2025-08-14T21:34:15.1151348Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1151589Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1151673Z return mod(*inputs) 2025-08-14T21:34:15.1151936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1152091Z x = self.forward_features(x) 2025-08-14T21:34:15.1152398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1152516Z x = self.blocks(x) 2025-08-14T21:34:15.1152804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:34:15.1152893Z x = self.drop_path(x) + shortcut 2025-08-14T21:34:15.1152906Z 2025-08-14T21:34:15.1153076Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1153642Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1153725Z return mod(*inputs) 2025-08-14T21:34:15.1153998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1154085Z x = self.forward_features(x) 2025-08-14T21:34:15.1154379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1154464Z x = self.blocks(x) 2025-08-14T21:34:15.1154746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:34:15.1154821Z x = self.bn1(x) 2025-08-14T21:34:15.1155077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:34:15.1155154Z x = self.act(x) 2025-08-14T21:34:15.1155170Z 2025-08-14T21:34:15.1155297Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1155541Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1155618Z return mod(*inputs) 2025-08-14T21:34:15.1155893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1155974Z x = self.forward_features(x) 2025-08-14T21:34:15.1156263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1156345Z x = self.blocks(x) 2025-08-14T21:34:15.1156625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:34:15.1156706Z x = self.bn1(x) 2025-08-14T21:34:15.1157028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:34:15.1157105Z x = self.act(x) 2025-08-14T21:34:15.1157118Z 2025-08-14T21:34:15.1157241Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1157484Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1157560Z return mod(*inputs) 2025-08-14T21:34:15.1157828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1157912Z x = self.forward_features(x) 2025-08-14T21:34:15.1158210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1158285Z x = self.blocks(x) 2025-08-14T21:34:15.1158567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1158652Z x = self.conv_dw(x) 2025-08-14T21:34:15.1158915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1159045Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1159321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1159442Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1159454Z 2025-08-14T21:34:15.1159581Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1159822Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1159898Z return mod(*inputs) 2025-08-14T21:34:15.1160167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1160251Z x = self.forward_features(x) 2025-08-14T21:34:15.1160550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1160679Z x = self.blocks(x) 2025-08-14T21:34:15.1160960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1161038Z x = self.conv_dw(x) 2025-08-14T21:34:15.1161292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1161416Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1161687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1161806Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1161819Z 2025-08-14T21:34:15.1161942Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1162184Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1162262Z return mod(*inputs) 2025-08-14T21:34:15.1162532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1162615Z x = self.forward_features(x) 2025-08-14T21:34:15.1162914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1162990Z x = self.blocks(x) 2025-08-14T21:34:15.1163272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1163351Z x = self.conv_dw(x) 2025-08-14T21:34:15.1163611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1163730Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1164005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1164177Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1164193Z 2025-08-14T21:34:15.1164320Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1164566Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1164644Z return mod(*inputs) 2025-08-14T21:34:15.1164912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1164995Z x = self.forward_features(x) 2025-08-14T21:34:15.1165289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1165369Z x = self.blocks(x) 2025-08-14T21:34:15.1165651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1165731Z x = self.conv_dw(x) 2025-08-14T21:34:15.1165990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1166114Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1166390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1174795Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1174809Z 2025-08-14T21:34:15.1174955Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1175306Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1175387Z return mod(*inputs) 2025-08-14T21:34:15.1175750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1175838Z x = self.forward_features(x) 2025-08-14T21:34:15.1176233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1176374Z x = self.blocks(x) 2025-08-14T21:34:15.1176758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1176845Z x = self.conv_dw(x) 2025-08-14T21:34:15.1177185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1177330Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1177678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1177797Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1177810Z 2025-08-14T21:34:15.1177930Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1178181Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1178260Z return mod(*inputs) 2025-08-14T21:34:15.1178531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1178616Z x = self.forward_features(x) 2025-08-14T21:34:15.1178909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1178989Z x = self.blocks(x) 2025-08-14T21:34:15.1179273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1179348Z x = self.conv_dw(x) 2025-08-14T21:34:15.1179615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1179731Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1180003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1180162Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1180178Z 2025-08-14T21:34:15.1180270Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1180369Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1180458Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1180576Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1180825Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1180898Z return mod(*inputs) 2025-08-14T21:34:15.1183339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1183423Z x = self.forward_features(x) 2025-08-14T21:34:15.1183715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1183792Z x = self.blocks(x) 2025-08-14T21:34:15.1184076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1184159Z x = self.conv_dw(x) 2025-08-14T21:34:15.1184415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.1184492Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.1184505Z 2025-08-14T21:34:15.1184597Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1184714Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1184954Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1185033Z return mod(*inputs) 2025-08-14T21:34:15.1185296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1185383Z x = self.forward_features(x) 2025-08-14T21:34:15.1185672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1185747Z x = self.blocks(x) 2025-08-14T21:34:15.1186075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1186144Z x = self.se(x) 2025-08-14T21:34:15.1186423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:34:15.1186515Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:34:15.1186528Z 2025-08-14T21:34:15.1186644Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1186951Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1187025Z return mod(*inputs) 2025-08-14T21:34:15.1187285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1187369Z x = self.forward_features(x) 2025-08-14T21:34:15.1187661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1187738Z x = self.blocks(x) 2025-08-14T21:34:15.1188026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1188096Z x = self.se(x) 2025-08-14T21:34:15.1188379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:34:15.1188456Z x_se = self.act1(x_se) 2025-08-14T21:34:15.1188469Z 2025-08-14T21:34:15.1188586Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1188830Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1188905Z return mod(*inputs) 2025-08-14T21:34:15.1189165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1189250Z x = self.forward_features(x) 2025-08-14T21:34:15.1190315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1190399Z x = self.blocks(x) 2025-08-14T21:34:15.1190681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1190751Z x = self.se(x) 2025-08-14T21:34:15.1191035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:34:15.1191117Z x_se = self.act1(x_se) 2025-08-14T21:34:15.1191131Z 2025-08-14T21:34:15.1191262Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1191506Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1191581Z return mod(*inputs) 2025-08-14T21:34:15.1191850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1191939Z x = self.forward_features(x) 2025-08-14T21:34:15.1192230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1192315Z x = self.blocks(x) 2025-08-14T21:34:15.1192600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1192678Z x = self.se(x) 2025-08-14T21:34:15.1192961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.1193046Z return x * self.gate(x_se) 2025-08-14T21:34:15.1193059Z 2025-08-14T21:34:15.1193188Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1193433Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1193508Z return mod(*inputs) 2025-08-14T21:34:15.1193780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1193905Z x = self.forward_features(x) 2025-08-14T21:34:15.1194201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1194276Z x = self.blocks(x) 2025-08-14T21:34:15.1194559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1194636Z x = self.se(x) 2025-08-14T21:34:15.1194916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.1195000Z return x * self.gate(x_se) 2025-08-14T21:34:15.1195013Z 2025-08-14T21:34:15.1195143Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1195391Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1195471Z return mod(*inputs) 2025-08-14T21:34:15.1195834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1195943Z x = self.forward_features(x) 2025-08-14T21:34:15.1196280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1196356Z x = self.blocks(x) 2025-08-14T21:34:15.1196642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1196720Z x = self.se(x) 2025-08-14T21:34:15.1196999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.1197086Z return x * self.gate(x_se) 2025-08-14T21:34:15.1197099Z 2025-08-14T21:34:15.1197219Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1197507Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1197598Z return mod(*inputs) 2025-08-14T21:34:15.1197863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1197957Z x = self.forward_features(x) 2025-08-14T21:34:15.1198256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1198338Z x = self.blocks(x) 2025-08-14T21:34:15.1198631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1198711Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1198724Z 2025-08-14T21:34:15.1198845Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1199091Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1199167Z return mod(*inputs) 2025-08-14T21:34:15.1199440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1199527Z x = self.forward_features(x) 2025-08-14T21:34:15.1199819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1199900Z x = self.blocks(x) 2025-08-14T21:34:15.1200181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1200258Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1200271Z 2025-08-14T21:34:15.1200393Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1200633Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1200715Z return mod(*inputs) 2025-08-14T21:34:15.1200978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1201061Z x = self.forward_features(x) 2025-08-14T21:34:15.1201406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1201481Z x = self.blocks(x) 2025-08-14T21:34:15.1201761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.1201843Z x = self.conv_pw(x) 2025-08-14T21:34:15.1202104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1202237Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1202510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1202635Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1202647Z 2025-08-14T21:34:15.1202772Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1203019Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1203105Z return mod(*inputs) 2025-08-14T21:34:15.1203368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1203451Z x = self.forward_features(x) 2025-08-14T21:34:15.1203755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1203827Z x = self.blocks(x) 2025-08-14T21:34:15.1204108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.1204191Z x = self.conv_pw(x) 2025-08-14T21:34:15.1204448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1204577Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1204905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1205029Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1205042Z 2025-08-14T21:34:15.1205169Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1205412Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1205489Z return mod(*inputs) 2025-08-14T21:34:15.1205757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1205840Z x = self.forward_features(x) 2025-08-14T21:34:15.1206140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1206217Z x = self.blocks(x) 2025-08-14T21:34:15.1206500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.1206584Z x = self.conv_pw(x) 2025-08-14T21:34:15.1206844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1206965Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1207242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1207364Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1207377Z 2025-08-14T21:34:15.1207504Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1207747Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1207824Z return mod(*inputs) 2025-08-14T21:34:15.1208094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1208178Z x = self.forward_features(x) 2025-08-14T21:34:15.1208479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1208594Z x = self.blocks(x) 2025-08-14T21:34:15.1208880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.1208964Z x = self.conv_pw(x) 2025-08-14T21:34:15.1209226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1209347Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1209622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1209741Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1209753Z 2025-08-14T21:34:15.1209854Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1209947Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1214343Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1214602Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1214680Z return mod(*inputs) 2025-08-14T21:34:15.1214945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1215036Z x = self.forward_features(x) 2025-08-14T21:34:15.1215330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1215415Z x = self.blocks(x) 2025-08-14T21:34:15.1215700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.1215776Z x = self.conv_pw(x) 2025-08-14T21:34:15.1216037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.1216165Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.1216182Z 2025-08-14T21:34:15.1216307Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1216549Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1216623Z return mod(*inputs) 2025-08-14T21:34:15.1216951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1217036Z x = self.forward_features(x) 2025-08-14T21:34:15.1217328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1217413Z x = self.blocks(x) 2025-08-14T21:34:15.1217700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:34:15.1217778Z x = self.bn1(x) 2025-08-14T21:34:15.1218029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:34:15.1218108Z x = F.batch_norm( 2025-08-14T21:34:15.1218121Z 2025-08-14T21:34:15.1218242Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1218485Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1218559Z return mod(*inputs) 2025-08-14T21:34:15.1218829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1218911Z x = self.forward_features(x) 2025-08-14T21:34:15.1219208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1219286Z x = self.blocks(x) 2025-08-14T21:34:15.1219573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:34:15.1219656Z x = self.bn1(x) 2025-08-14T21:34:15.1219911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:34:15.1220031Z x = self.act(x) 2025-08-14T21:34:15.1220044Z 2025-08-14T21:34:15.1220143Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1220262Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1220516Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1220594Z return mod(*inputs) 2025-08-14T21:34:15.1220858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1220946Z x = self.forward_features(x) 2025-08-14T21:34:15.1221239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1221316Z x = self.blocks(x) 2025-08-14T21:34:15.1221611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1221688Z x = self.conv_dw(x) 2025-08-14T21:34:15.1221950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1222079Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1222351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1222479Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1222491Z 2025-08-14T21:34:15.1222610Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1222855Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1222935Z return mod(*inputs) 2025-08-14T21:34:15.1223198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1223290Z x = self.forward_features(x) 2025-08-14T21:34:15.1223627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1223703Z x = self.blocks(x) 2025-08-14T21:34:15.1223994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1224071Z x = self.conv_dw(x) 2025-08-14T21:34:15.1224334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1224455Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1224798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1224953Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1224970Z 2025-08-14T21:34:15.1225083Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1225206Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1225460Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1225536Z return mod(*inputs) 2025-08-14T21:34:15.1225812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1225895Z x = self.forward_features(x) 2025-08-14T21:34:15.1226185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1226263Z x = self.blocks(x) 2025-08-14T21:34:15.1226544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1226616Z x = self.conv_dw(x) 2025-08-14T21:34:15.1226941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1227067Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1227383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1227501Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1227514Z 2025-08-14T21:34:15.1227635Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1227884Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1227961Z return mod(*inputs) 2025-08-14T21:34:15.1228231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1228313Z x = self.forward_features(x) 2025-08-14T21:34:15.1228607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1228686Z x = self.blocks(x) 2025-08-14T21:34:15.1228973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1229053Z x = self.conv_dw(x) 2025-08-14T21:34:15.1229320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1229438Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1229714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1229834Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1229847Z 2025-08-14T21:34:15.1229941Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1230069Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1230311Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1230387Z return mod(*inputs) 2025-08-14T21:34:15.1230778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1230867Z x = self.forward_features(x) 2025-08-14T21:34:15.1231172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1231247Z x = self.blocks(x) 2025-08-14T21:34:15.1231531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1231612Z x = self.conv_dw(x) 2025-08-14T21:34:15.1231874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1231994Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1232274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1232392Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1232405Z 2025-08-14T21:34:15.1232538Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1232784Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1232861Z return mod(*inputs) 2025-08-14T21:34:15.1233131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1233216Z x = self.forward_features(x) 2025-08-14T21:34:15.1233521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1233598Z x = self.blocks(x) 2025-08-14T21:34:15.1233881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1233967Z x = self.conv_dw(x) 2025-08-14T21:34:15.1234225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1234348Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1234682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1234801Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1234813Z 2025-08-14T21:34:15.1234916Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1235035Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1235277Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1235359Z return mod(*inputs) 2025-08-14T21:34:15.1235624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1235709Z x = self.forward_features(x) 2025-08-14T21:34:15.1236006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1246830Z x = self.blocks(x) 2025-08-14T21:34:15.1247209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1247291Z x = self.conv_dw(x) 2025-08-14T21:34:15.1247577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1247710Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1247996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1248122Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1248138Z 2025-08-14T21:34:15.1248270Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1248532Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1248613Z return mod(*inputs) 2025-08-14T21:34:15.1248989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1249086Z x = self.forward_features(x) 2025-08-14T21:34:15.1249386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1249468Z x = self.blocks(x) 2025-08-14T21:34:15.1249756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1249832Z x = self.conv_dw(x) 2025-08-14T21:34:15.1250098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1250225Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1250503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1250627Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1250643Z 2025-08-14T21:34:15.1250740Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1250835Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1250923Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1251009Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1251138Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1251388Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1251465Z return mod(*inputs) 2025-08-14T21:34:15.1251735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1251819Z x = self.forward_features(x) 2025-08-14T21:34:15.1252121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1252196Z x = self.blocks(x) 2025-08-14T21:34:15.1252485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1252616Z x = self.conv_dw(x) 2025-08-14T21:34:15.1252875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.1252963Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.1252976Z 2025-08-14T21:34:15.1253068Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1253191Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1253899Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1254021Z return mod(*inputs) 2025-08-14T21:34:15.1254287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1254376Z x = self.forward_features(x) 2025-08-14T21:34:15.1254677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1254761Z x = self.blocks(x) 2025-08-14T21:34:15.1255045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1255120Z x = self.se(x) 2025-08-14T21:34:15.1255406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:34:15.1255494Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:34:15.1255507Z 2025-08-14T21:34:15.1255629Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1255877Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1255955Z return mod(*inputs) 2025-08-14T21:34:15.1256221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1256303Z x = self.forward_features(x) 2025-08-14T21:34:15.1256678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1256761Z x = self.blocks(x) 2025-08-14T21:34:15.1257043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1257117Z x = self.se(x) 2025-08-14T21:34:15.1257397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:34:15.1257477Z x_se = self.act1(x_se) 2025-08-14T21:34:15.1257490Z 2025-08-14T21:34:15.1257617Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1257858Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1257932Z return mod(*inputs) 2025-08-14T21:34:15.1258199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1258285Z x = self.forward_features(x) 2025-08-14T21:34:15.1258583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1258664Z x = self.blocks(x) 2025-08-14T21:34:15.1258945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1259019Z x = self.se(x) 2025-08-14T21:34:15.1259297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:34:15.1259375Z x_se = self.act1(x_se) 2025-08-14T21:34:15.1259389Z 2025-08-14T21:34:15.1259512Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1259750Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1259830Z return mod(*inputs) 2025-08-14T21:34:15.1260099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1260239Z x = self.forward_features(x) 2025-08-14T21:34:15.1260540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1260616Z x = self.blocks(x) 2025-08-14T21:34:15.1260896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1260971Z x = self.se(x) 2025-08-14T21:34:15.1261250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.1261338Z return x * self.gate(x_se) 2025-08-14T21:34:15.1261350Z 2025-08-14T21:34:15.1261468Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1261709Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1261788Z return mod(*inputs) 2025-08-14T21:34:15.1262054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1262139Z x = self.forward_features(x) 2025-08-14T21:34:15.1262436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1262509Z x = self.blocks(x) 2025-08-14T21:34:15.1262796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1262865Z x = self.se(x) 2025-08-14T21:34:15.1263146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.1263235Z return x * self.gate(x_se) 2025-08-14T21:34:15.1263248Z 2025-08-14T21:34:15.1263369Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1263608Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1263728Z return mod(*inputs) 2025-08-14T21:34:15.1263993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1264078Z x = self.forward_features(x) 2025-08-14T21:34:15.1264367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1264443Z x = self.blocks(x) 2025-08-14T21:34:15.1264727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1264799Z x = self.se(x) 2025-08-14T21:34:15.1265076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.1265161Z return x * self.gate(x_se) 2025-08-14T21:34:15.1265174Z 2025-08-14T21:34:15.1265267Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1265391Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1265641Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1265717Z return mod(*inputs) 2025-08-14T21:34:15.1265984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1266065Z x = self.forward_features(x) 2025-08-14T21:34:15.1266354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1266432Z x = self.blocks(x) 2025-08-14T21:34:15.1266713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1266893Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1267153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1267278Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1267562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1267735Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1267748Z 2025-08-14T21:34:15.1267871Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1272209Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1272286Z return mod(*inputs) 2025-08-14T21:34:15.1272604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1272686Z x = self.forward_features(x) 2025-08-14T21:34:15.1272977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1273054Z x = self.blocks(x) 2025-08-14T21:34:15.1273344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1273429Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1273686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1273807Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1274081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1274199Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1274212Z 2025-08-14T21:34:15.1274308Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1274426Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1274666Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1274745Z return mod(*inputs) 2025-08-14T21:34:15.1275055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1275141Z x = self.forward_features(x) 2025-08-14T21:34:15.1275442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1275517Z x = self.blocks(x) 2025-08-14T21:34:15.1275800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1275879Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1276146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1276270Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1276546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1276663Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1276676Z 2025-08-14T21:34:15.1276798Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1277048Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1277128Z return mod(*inputs) 2025-08-14T21:34:15.1277391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1277473Z x = self.forward_features(x) 2025-08-14T21:34:15.1277765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1277845Z x = self.blocks(x) 2025-08-14T21:34:15.1278126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1278203Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1278462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1278584Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1278920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1279039Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1279052Z 2025-08-14T21:34:15.1279144Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1279239Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1279358Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1279603Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1279681Z return mod(*inputs) 2025-08-14T21:34:15.1279945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1280033Z x = self.forward_features(x) 2025-08-14T21:34:15.1280327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1280404Z x = self.blocks(x) 2025-08-14T21:34:15.1280690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1280767Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1281022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.1281110Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.1281123Z 2025-08-14T21:34:15.1281244Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1281498Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1281574Z return mod(*inputs) 2025-08-14T21:34:15.1281836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1281924Z x = self.forward_features(x) 2025-08-14T21:34:15.1282290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1282371Z x = self.blocks(x) 2025-08-14T21:34:15.1282740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:34:15.1282826Z x = self.drop_path(x) + shortcut 2025-08-14T21:34:15.1282840Z 2025-08-14T21:34:15.1283022Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1283266Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1283339Z return mod(*inputs) 2025-08-14T21:34:15.1283607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1283688Z x = self.forward_features(x) 2025-08-14T21:34:15.1283987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1284064Z x = self.blocks(x) 2025-08-14T21:34:15.1284356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.1284440Z x = self.conv_pw(x) 2025-08-14T21:34:15.1284694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1284821Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1285091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1285209Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1285222Z 2025-08-14T21:34:15.1285344Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1285587Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1285661Z return mod(*inputs) 2025-08-14T21:34:15.1285927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1286060Z x = self.forward_features(x) 2025-08-14T21:34:15.1286352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1286428Z x = self.blocks(x) 2025-08-14T21:34:15.1286710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.1286790Z x = self.conv_pw(x) 2025-08-14T21:34:15.1287045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1287166Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1287438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1287561Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1287577Z 2025-08-14T21:34:15.1287700Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1287943Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1288019Z return mod(*inputs) 2025-08-14T21:34:15.1288286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1288369Z x = self.forward_features(x) 2025-08-14T21:34:15.1288659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1288737Z x = self.blocks(x) 2025-08-14T21:34:15.1289021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.1289097Z x = self.conv_pw(x) 2025-08-14T21:34:15.1289400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1289528Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1289806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1289928Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1289940Z 2025-08-14T21:34:15.1290061Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1290307Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1290383Z return mod(*inputs) 2025-08-14T21:34:15.1290655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1290737Z x = self.forward_features(x) 2025-08-14T21:34:15.1291028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1291108Z x = self.blocks(x) 2025-08-14T21:34:15.1291396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.1291852Z x = self.conv_pw(x) 2025-08-14T21:34:15.1292234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1292681Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1293153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1293619Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1293817Z 2025-08-14T21:34:15.1293913Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1294161Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1294433Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1294877Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1295511Z return mod(*inputs) 2025-08-14T21:34:15.1295907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1296334Z x = self.forward_features(x) 2025-08-14T21:34:15.1296770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1301345Z x = self.blocks(x) 2025-08-14T21:34:15.1301804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.1302232Z x = self.conv_pw(x) 2025-08-14T21:34:15.1302596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.1303004Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.1303138Z 2025-08-14T21:34:15.1303265Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1303704Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1304095Z return mod(*inputs) 2025-08-14T21:34:15.1304473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1304890Z x = self.forward_features(x) 2025-08-14T21:34:15.1305313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1305751Z x = self.blocks(x) 2025-08-14T21:34:15.1306146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:34:15.1306568Z x = self.bn1(x) 2025-08-14T21:34:15.1306989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:34:15.1307378Z x = F.batch_norm( 2025-08-14T21:34:15.1307533Z 2025-08-14T21:34:15.1307821Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1308369Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1308832Z return mod(*inputs) 2025-08-14T21:34:15.1309215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1309631Z x = self.forward_features(x) 2025-08-14T21:34:15.1310056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1310491Z x = self.blocks(x) 2025-08-14T21:34:15.1310886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:34:15.1311307Z x = self.bn1(x) 2025-08-14T21:34:15.1311734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:34:15.1312174Z x = self.act(x) 2025-08-14T21:34:15.1312281Z 2025-08-14T21:34:15.1312382Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1312654Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1313082Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1313469Z return mod(*inputs) 2025-08-14T21:34:15.1313842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1314256Z x = self.forward_features(x) 2025-08-14T21:34:15.1314682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1315111Z x = self.blocks(x) 2025-08-14T21:34:15.1315505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1315929Z x = self.conv_dw(x) 2025-08-14T21:34:15.1316297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1316801Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1317276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1317741Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1317937Z 2025-08-14T21:34:15.1318062Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1318486Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1318875Z return mod(*inputs) 2025-08-14T21:34:15.1319251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1319670Z x = self.forward_features(x) 2025-08-14T21:34:15.1320095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1320526Z x = self.blocks(x) 2025-08-14T21:34:15.1320928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1321354Z x = self.conv_dw(x) 2025-08-14T21:34:15.1321721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1322252Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1322785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1323259Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1323484Z 2025-08-14T21:34:15.1323669Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1323948Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1324375Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1324825Z return mod(*inputs) 2025-08-14T21:34:15.1325201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1325615Z x = self.forward_features(x) 2025-08-14T21:34:15.1330239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1330669Z x = self.blocks(x) 2025-08-14T21:34:15.1331063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1331490Z x = self.conv_dw(x) 2025-08-14T21:34:15.1331858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1332300Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1332759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1333220Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1333418Z 2025-08-14T21:34:15.1333544Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1334017Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1334402Z return mod(*inputs) 2025-08-14T21:34:15.1334778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1335188Z x = self.forward_features(x) 2025-08-14T21:34:15.1335614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1336139Z x = self.blocks(x) 2025-08-14T21:34:15.1336535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1336955Z x = self.conv_dw(x) 2025-08-14T21:34:15.1337326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1337824Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1338277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1338731Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1338934Z 2025-08-14T21:34:15.1339029Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1339303Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1339728Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1340117Z return mod(*inputs) 2025-08-14T21:34:15.1340568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1341024Z x = self.forward_features(x) 2025-08-14T21:34:15.1341456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1341893Z x = self.blocks(x) 2025-08-14T21:34:15.1342295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1342719Z x = self.conv_dw(x) 2025-08-14T21:34:15.1343086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1343582Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1344038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1344499Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1344699Z 2025-08-14T21:34:15.1344826Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1345305Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1345695Z return mod(*inputs) 2025-08-14T21:34:15.1346070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1346486Z x = self.forward_features(x) 2025-08-14T21:34:15.1346983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1347420Z x = self.blocks(x) 2025-08-14T21:34:15.1347819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1348243Z x = self.conv_dw(x) 2025-08-14T21:34:15.1348609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1349058Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1349519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1349981Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1350175Z 2025-08-14T21:34:15.1350270Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1350544Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1350976Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1351361Z return mod(*inputs) 2025-08-14T21:34:15.1351745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1352161Z x = self.forward_features(x) 2025-08-14T21:34:15.1352584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1353017Z x = self.blocks(x) 2025-08-14T21:34:15.1353752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1354276Z x = self.conv_dw(x) 2025-08-14T21:34:15.1354640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1359270Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1359737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1360199Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1360397Z 2025-08-14T21:34:15.1360521Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1360949Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1361342Z return mod(*inputs) 2025-08-14T21:34:15.1361713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1362126Z x = self.forward_features(x) 2025-08-14T21:34:15.1362559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1362994Z x = self.blocks(x) 2025-08-14T21:34:15.1363387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1363811Z x = self.conv_dw(x) 2025-08-14T21:34:15.1364181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1364621Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1365081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1365539Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1365734Z 2025-08-14T21:34:15.1365835Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1366134Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1366376Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1366612Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1366876Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1367309Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1367702Z return mod(*inputs) 2025-08-14T21:34:15.1368081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1368494Z x = self.forward_features(x) 2025-08-14T21:34:15.1368925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1369367Z x = self.blocks(x) 2025-08-14T21:34:15.1369826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1370305Z x = self.conv_dw(x) 2025-08-14T21:34:15.1370684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.1371095Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.1371230Z 2025-08-14T21:34:15.1371320Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1371587Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1372016Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1372399Z return mod(*inputs) 2025-08-14T21:34:15.1372775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1373190Z x = self.forward_features(x) 2025-08-14T21:34:15.1373622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1374083Z x = self.blocks(x) 2025-08-14T21:34:15.1374504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1374984Z x = self.se(x) 2025-08-14T21:34:15.1375360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:34:15.1375795Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:34:15.1375959Z 2025-08-14T21:34:15.1376083Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1376514Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1376899Z return mod(*inputs) 2025-08-14T21:34:15.1377276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1377700Z x = self.forward_features(x) 2025-08-14T21:34:15.1378124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1378556Z x = self.blocks(x) 2025-08-14T21:34:15.1378958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1379382Z x = self.se(x) 2025-08-14T21:34:15.1379764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:34:15.1380188Z x_se = self.act1(x_se) 2025-08-14T21:34:15.1380319Z 2025-08-14T21:34:15.1380444Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1380872Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1381261Z return mod(*inputs) 2025-08-14T21:34:15.1381639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1382056Z x = self.forward_features(x) 2025-08-14T21:34:15.1382528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1382970Z x = self.blocks(x) 2025-08-14T21:34:15.1383365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1383784Z x = self.se(x) 2025-08-14T21:34:15.1392649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:34:15.1393212Z x_se = self.act1(x_se) 2025-08-14T21:34:15.1393365Z 2025-08-14T21:34:15.1393511Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1394059Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1394572Z return mod(*inputs) 2025-08-14T21:34:15.1395080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1395503Z x = self.forward_features(x) 2025-08-14T21:34:15.1395945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1396395Z x = self.blocks(x) 2025-08-14T21:34:15.1396792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1397211Z x = self.se(x) 2025-08-14T21:34:15.1397598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.1398028Z return x * self.gate(x_se) 2025-08-14T21:34:15.1398166Z 2025-08-14T21:34:15.1398289Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1398790Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1399228Z return mod(*inputs) 2025-08-14T21:34:15.1399607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1400023Z x = self.forward_features(x) 2025-08-14T21:34:15.1400504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1400945Z x = self.blocks(x) 2025-08-14T21:34:15.1401330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1401753Z x = self.se(x) 2025-08-14T21:34:15.1402143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.1402578Z return x * self.gate(x_se) 2025-08-14T21:34:15.1402722Z 2025-08-14T21:34:15.1402845Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1403329Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1403722Z return mod(*inputs) 2025-08-14T21:34:15.1404111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1404544Z x = self.forward_features(x) 2025-08-14T21:34:15.1404977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1405422Z x = self.blocks(x) 2025-08-14T21:34:15.1405816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1406243Z x = self.se(x) 2025-08-14T21:34:15.1406636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.1407075Z return x * self.gate(x_se) 2025-08-14T21:34:15.1407213Z 2025-08-14T21:34:15.1407308Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1407591Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1408026Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1408476Z return mod(*inputs) 2025-08-14T21:34:15.1408863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1409283Z x = self.forward_features(x) 2025-08-14T21:34:15.1409711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1410157Z x = self.blocks(x) 2025-08-14T21:34:15.1410559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1410991Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1411368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1411829Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1412302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1412778Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1413053Z 2025-08-14T21:34:15.1413186Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1413675Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1414077Z return mod(*inputs) 2025-08-14T21:34:15.1414454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1414873Z x = self.forward_features(x) 2025-08-14T21:34:15.1415303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1415737Z x = self.blocks(x) 2025-08-14T21:34:15.1416128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1416554Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1416936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1417428Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1417890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1418351Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1418547Z 2025-08-14T21:34:15.1418646Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1418912Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1419342Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1419726Z return mod(*inputs) 2025-08-14T21:34:15.1420098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1420510Z x = self.forward_features(x) 2025-08-14T21:34:15.1420939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1421377Z x = self.blocks(x) 2025-08-14T21:34:15.1421763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1422191Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1422569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1423014Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1423474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1423933Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1424127Z 2025-08-14T21:34:15.1424251Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1424724Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1425117Z return mod(*inputs) 2025-08-14T21:34:15.1425496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1425912Z x = self.forward_features(x) 2025-08-14T21:34:15.1426334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1426817Z x = self.blocks(x) 2025-08-14T21:34:15.1427241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1433975Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1434359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1434808Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1435271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1435731Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1435934Z 2025-08-14T21:34:15.1436030Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1436280Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1436542Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1436967Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1437356Z return mod(*inputs) 2025-08-14T21:34:15.1437739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1438153Z x = self.forward_features(x) 2025-08-14T21:34:15.1438578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1439013Z x = self.blocks(x) 2025-08-14T21:34:15.1439406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1439893Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1440268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.1440667Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.1440798Z 2025-08-14T21:34:15.1440920Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1441344Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1441733Z return mod(*inputs) 2025-08-14T21:34:15.1442170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1442639Z x = self.forward_features(x) 2025-08-14T21:34:15.1443065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1443500Z x = self.blocks(x) 2025-08-14T21:34:15.1443894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:34:15.1444337Z x = self.drop_path(x) + shortcut 2025-08-14T21:34:15.1444490Z 2025-08-14T21:34:15.1444613Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1445036Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1445426Z return mod(*inputs) 2025-08-14T21:34:15.1445808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1446223Z x = self.forward_features(x) 2025-08-14T21:34:15.1446645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1447080Z x = self.blocks(x) 2025-08-14T21:34:15.1447519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.1447947Z x = self.conv_pw(x) 2025-08-14T21:34:15.1448326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1448772Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1449232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1449687Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1449885Z 2025-08-14T21:34:15.1450007Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1450433Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1450821Z return mod(*inputs) 2025-08-14T21:34:15.1451196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1451617Z x = self.forward_features(x) 2025-08-14T21:34:15.1452051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1452484Z x = self.blocks(x) 2025-08-14T21:34:15.1452877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.1453648Z x = self.conv_pw(x) 2025-08-14T21:34:15.1454026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1454469Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1454925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1455385Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1455579Z 2025-08-14T21:34:15.1455700Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1456137Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1460769Z return mod(*inputs) 2025-08-14T21:34:15.1461191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1461605Z x = self.forward_features(x) 2025-08-14T21:34:15.1462029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1462462Z x = self.blocks(x) 2025-08-14T21:34:15.1462855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.1463281Z x = self.conv_pw(x) 2025-08-14T21:34:15.1463650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1464094Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1464555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1465021Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1465261Z 2025-08-14T21:34:15.1465816Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1466242Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1466626Z return mod(*inputs) 2025-08-14T21:34:15.1467076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1467494Z x = self.forward_features(x) 2025-08-14T21:34:15.1467917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1468353Z x = self.blocks(x) 2025-08-14T21:34:15.1468753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.1469249Z x = self.conv_pw(x) 2025-08-14T21:34:15.1469621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1470072Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1470531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1471057Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1471258Z 2025-08-14T21:34:15.1471356Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1471657Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1471929Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1472350Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1472740Z return mod(*inputs) 2025-08-14T21:34:15.1473119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1473539Z x = self.forward_features(x) 2025-08-14T21:34:15.1474005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1474452Z x = self.blocks(x) 2025-08-14T21:34:15.1474853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.1475278Z x = self.conv_pw(x) 2025-08-14T21:34:15.1475650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.1476061Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.1476194Z 2025-08-14T21:34:15.1476318Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1476751Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1477138Z return mod(*inputs) 2025-08-14T21:34:15.1477521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1478080Z x = self.forward_features(x) 2025-08-14T21:34:15.1478510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1478946Z x = self.blocks(x) 2025-08-14T21:34:15.1479342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:34:15.1479769Z x = self.bn1(x) 2025-08-14T21:34:15.1480129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:34:15.1480523Z x = F.batch_norm( 2025-08-14T21:34:15.1480638Z 2025-08-14T21:34:15.1480761Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1481197Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1481599Z return mod(*inputs) 2025-08-14T21:34:15.1481982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1482402Z x = self.forward_features(x) 2025-08-14T21:34:15.1482832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1483269Z x = self.blocks(x) 2025-08-14T21:34:15.1483658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:34:15.1484081Z x = self.bn1(x) 2025-08-14T21:34:15.1484438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:34:15.1484822Z x = self.act(x) 2025-08-14T21:34:15.1484934Z 2025-08-14T21:34:15.1485028Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1485303Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1490046Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1490437Z return mod(*inputs) 2025-08-14T21:34:15.1490823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1491247Z x = self.forward_features(x) 2025-08-14T21:34:15.1491671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1492104Z x = self.blocks(x) 2025-08-14T21:34:15.1492498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1492923Z x = self.conv_dw(x) 2025-08-14T21:34:15.1493298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1493757Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1494234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1494696Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1494897Z 2025-08-14T21:34:15.1495021Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1495452Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1495845Z return mod(*inputs) 2025-08-14T21:34:15.1496226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1496647Z x = self.forward_features(x) 2025-08-14T21:34:15.1497075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1497505Z x = self.blocks(x) 2025-08-14T21:34:15.1497905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1498378Z x = self.conv_dw(x) 2025-08-14T21:34:15.1498748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1499192Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1499655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1500186Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1500387Z 2025-08-14T21:34:15.1500533Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1500812Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1501245Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1501644Z return mod(*inputs) 2025-08-14T21:34:15.1502020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1502447Z x = self.forward_features(x) 2025-08-14T21:34:15.1502886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1503325Z x = self.blocks(x) 2025-08-14T21:34:15.1503716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1504142Z x = self.conv_dw(x) 2025-08-14T21:34:15.1504518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1505025Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1505489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1505953Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1506149Z 2025-08-14T21:34:15.1506328Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1506760Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1507225Z return mod(*inputs) 2025-08-14T21:34:15.1507608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1508025Z x = self.forward_features(x) 2025-08-14T21:34:15.1508459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1508901Z x = self.blocks(x) 2025-08-14T21:34:15.1509301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1509728Z x = self.conv_dw(x) 2025-08-14T21:34:15.1510102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1510552Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1511018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1511484Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1511684Z 2025-08-14T21:34:15.1511778Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1512056Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1512480Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1512876Z return mod(*inputs) 2025-08-14T21:34:15.1513259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1513675Z x = self.forward_features(x) 2025-08-14T21:34:15.1514103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1518786Z x = self.blocks(x) 2025-08-14T21:34:15.1519201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1519692Z x = self.conv_dw(x) 2025-08-14T21:34:15.1520065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1520515Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1520982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1521440Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1521639Z 2025-08-14T21:34:15.1521763Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1522193Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1522575Z return mod(*inputs) 2025-08-14T21:34:15.1522960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1523386Z x = self.forward_features(x) 2025-08-14T21:34:15.1523814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1524248Z x = self.blocks(x) 2025-08-14T21:34:15.1524646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1525072Z x = self.conv_dw(x) 2025-08-14T21:34:15.1525444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1525889Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1526355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1526809Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1527002Z 2025-08-14T21:34:15.1527149Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1527430Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1527869Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1528252Z return mod(*inputs) 2025-08-14T21:34:15.1528739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1529236Z x = self.forward_features(x) 2025-08-14T21:34:15.1529716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1530151Z x = self.blocks(x) 2025-08-14T21:34:15.1530557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1530993Z x = self.conv_dw(x) 2025-08-14T21:34:15.1531366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1531823Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1532282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1532742Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1532937Z 2025-08-14T21:34:15.1533061Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1533528Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1533928Z return mod(*inputs) 2025-08-14T21:34:15.1534312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1534728Z x = self.forward_features(x) 2025-08-14T21:34:15.1535160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1535598Z x = self.blocks(x) 2025-08-14T21:34:15.1536042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1536474Z x = self.conv_dw(x) 2025-08-14T21:34:15.1536845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1537296Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1537752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1538212Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1538225Z 2025-08-14T21:34:15.1538319Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1538417Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1538507Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1538596Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1538731Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1538979Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1539057Z return mod(*inputs) 2025-08-14T21:34:15.1539323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1539407Z x = self.forward_features(x) 2025-08-14T21:34:15.1539706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1539782Z x = self.blocks(x) 2025-08-14T21:34:15.1540065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1540144Z x = self.conv_dw(x) 2025-08-14T21:34:15.1540407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.1540535Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.1540551Z 2025-08-14T21:34:15.1540642Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1540765Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1541019Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1541096Z return mod(*inputs) 2025-08-14T21:34:15.1541363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1541450Z x = self.forward_features(x) 2025-08-14T21:34:15.1541744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1541826Z x = self.blocks(x) 2025-08-14T21:34:15.1542111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1542184Z x = self.se(x) 2025-08-14T21:34:15.1542479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:34:15.1542572Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:34:15.1542585Z 2025-08-14T21:34:15.1542714Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1542955Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1543031Z return mod(*inputs) 2025-08-14T21:34:15.1543301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1543383Z x = self.forward_features(x) 2025-08-14T21:34:15.1552158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1552245Z x = self.blocks(x) 2025-08-14T21:34:15.1552624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1552713Z x = self.se(x) 2025-08-14T21:34:15.1553169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:34:15.1553253Z x_se = self.act1(x_se) 2025-08-14T21:34:15.1553267Z 2025-08-14T21:34:15.1553732Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1554061Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1554140Z return mod(*inputs) 2025-08-14T21:34:15.1554432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1554515Z x = self.forward_features(x) 2025-08-14T21:34:15.1554813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1554889Z x = self.blocks(x) 2025-08-14T21:34:15.1555176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1555259Z x = self.se(x) 2025-08-14T21:34:15.1555542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:34:15.1555623Z x_se = self.act1(x_se) 2025-08-14T21:34:15.1555636Z 2025-08-14T21:34:15.1555766Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1556012Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1556095Z return mod(*inputs) 2025-08-14T21:34:15.1556359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1556443Z x = self.forward_features(x) 2025-08-14T21:34:15.1556744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1556820Z x = self.blocks(x) 2025-08-14T21:34:15.1557186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1557270Z x = self.se(x) 2025-08-14T21:34:15.1557550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.1557637Z return x * self.gate(x_se) 2025-08-14T21:34:15.1557650Z 2025-08-14T21:34:15.1557769Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1560077Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1560163Z return mod(*inputs) 2025-08-14T21:34:15.1560428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1560517Z x = self.forward_features(x) 2025-08-14T21:34:15.1560809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1560887Z x = self.blocks(x) 2025-08-14T21:34:15.1561175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1561245Z x = self.se(x) 2025-08-14T21:34:15.1561524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.1561615Z return x * self.gate(x_se) 2025-08-14T21:34:15.1561628Z 2025-08-14T21:34:15.1561747Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1561990Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1562064Z return mod(*inputs) 2025-08-14T21:34:15.1562331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1562421Z x = self.forward_features(x) 2025-08-14T21:34:15.1562768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1562906Z x = self.blocks(x) 2025-08-14T21:34:15.1563195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1563265Z x = self.se(x) 2025-08-14T21:34:15.1563554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.1563637Z return x * self.gate(x_se) 2025-08-14T21:34:15.1563650Z 2025-08-14T21:34:15.1563741Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1563864Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1564104Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1564179Z return mod(*inputs) 2025-08-14T21:34:15.1564447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1564531Z x = self.forward_features(x) 2025-08-14T21:34:15.1564828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1564902Z x = self.blocks(x) 2025-08-14T21:34:15.1565183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1565268Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1565528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1565656Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1565931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1566053Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1566065Z 2025-08-14T21:34:15.1566191Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1566484Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1566564Z return mod(*inputs) 2025-08-14T21:34:15.1566832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1566916Z x = self.forward_features(x) 2025-08-14T21:34:15.1567213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1567288Z x = self.blocks(x) 2025-08-14T21:34:15.1567568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1567650Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1567907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1568029Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1568305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1568428Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1568441Z 2025-08-14T21:34:15.1568537Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1568657Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1568899Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1568981Z return mod(*inputs) 2025-08-14T21:34:15.1569244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1569326Z x = self.forward_features(x) 2025-08-14T21:34:15.1569625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1569699Z x = self.blocks(x) 2025-08-14T21:34:15.1569990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1570116Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1570373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1570500Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1570769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1570887Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1570907Z 2025-08-14T21:34:15.1571027Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1571270Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1571351Z return mod(*inputs) 2025-08-14T21:34:15.1571616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1571702Z x = self.forward_features(x) 2025-08-14T21:34:15.1571997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1572072Z x = self.blocks(x) 2025-08-14T21:34:15.1572361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1572437Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1572780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1572919Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1573227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1573346Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1573364Z 2025-08-14T21:34:15.1573507Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1573603Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1573733Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1573980Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1574055Z return mod(*inputs) 2025-08-14T21:34:15.1579378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1579511Z x = self.forward_features(x) 2025-08-14T21:34:15.1579857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1579940Z x = self.blocks(x) 2025-08-14T21:34:15.1580243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1580322Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1580602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.1580689Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.1580703Z 2025-08-14T21:34:15.1580838Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1581091Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1581169Z return mod(*inputs) 2025-08-14T21:34:15.1581446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1581531Z x = self.forward_features(x) 2025-08-14T21:34:15.1581834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1581910Z x = self.blocks(x) 2025-08-14T21:34:15.1582199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:34:15.1582297Z x = self.drop_path(x) + shortcut 2025-08-14T21:34:15.1582411Z 2025-08-14T21:34:15.1582538Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1582786Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1582865Z return mod(*inputs) 2025-08-14T21:34:15.1583134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1583222Z x = self.forward_features(x) 2025-08-14T21:34:15.1583513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1583587Z x = self.blocks(x) 2025-08-14T21:34:15.1583876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:34:15.1583949Z x = self.bn1(x) 2025-08-14T21:34:15.1584203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:34:15.1584284Z x = self.act(x) 2025-08-14T21:34:15.1584296Z 2025-08-14T21:34:15.1584419Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1584665Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1584741Z return mod(*inputs) 2025-08-14T21:34:15.1585005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1585092Z x = self.forward_features(x) 2025-08-14T21:34:15.1585383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1585459Z x = self.blocks(x) 2025-08-14T21:34:15.1585746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:34:15.1585817Z x = self.bn1(x) 2025-08-14T21:34:15.1586136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:34:15.1586211Z x = self.act(x) 2025-08-14T21:34:15.1586224Z 2025-08-14T21:34:15.1586348Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1586595Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1586670Z return mod(*inputs) 2025-08-14T21:34:15.1591400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1591490Z x = self.forward_features(x) 2025-08-14T21:34:15.1591832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1591911Z x = self.blocks(x) 2025-08-14T21:34:15.1592193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:34:15.1592264Z x = self.bn2(x) 2025-08-14T21:34:15.1592520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:34:15.1592594Z x = self.act(x) 2025-08-14T21:34:15.1592607Z 2025-08-14T21:34:15.1592733Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1592978Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1593052Z return mod(*inputs) 2025-08-14T21:34:15.1593319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1593402Z x = self.forward_features(x) 2025-08-14T21:34:15.1593694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1593772Z x = self.blocks(x) 2025-08-14T21:34:15.1594053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:34:15.1594128Z x = self.bn2(x) 2025-08-14T21:34:15.1594428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:34:15.1594499Z x = self.act(x) 2025-08-14T21:34:15.1594512Z 2025-08-14T21:34:15.1594611Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1594730Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1594973Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1595057Z return mod(*inputs) 2025-08-14T21:34:15.1595321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1595411Z x = self.forward_features(x) 2025-08-14T21:34:15.1595704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1595805Z x = self.blocks(x) 2025-08-14T21:34:15.1596119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1596196Z x = self.se(x) 2025-08-14T21:34:15.1596479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:34:15.1596572Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:34:15.1596586Z 2025-08-14T21:34:15.1596705Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1596954Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1597028Z return mod(*inputs) 2025-08-14T21:34:15.1597290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1597376Z x = self.forward_features(x) 2025-08-14T21:34:15.1597664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1597786Z x = self.blocks(x) 2025-08-14T21:34:15.1598075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1598148Z x = self.se(x) 2025-08-14T21:34:15.1598432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:34:15.1598514Z x_se = self.act1(x_se) 2025-08-14T21:34:15.1598527Z 2025-08-14T21:34:15.1598646Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1598894Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1598973Z return mod(*inputs) 2025-08-14T21:34:15.1599236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1599325Z x = self.forward_features(x) 2025-08-14T21:34:15.1599624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1599707Z x = self.blocks(x) 2025-08-14T21:34:15.1599991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1600062Z x = self.se(x) 2025-08-14T21:34:15.1600346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:34:15.1600430Z x_se = self.act1(x_se) 2025-08-14T21:34:15.1600444Z 2025-08-14T21:34:15.1600566Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1600810Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1600885Z return mod(*inputs) 2025-08-14T21:34:15.1601153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1601238Z x = self.forward_features(x) 2025-08-14T21:34:15.1601611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1601735Z x = self.blocks(x) 2025-08-14T21:34:15.1602076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1602151Z x = self.se(x) 2025-08-14T21:34:15.1602428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.1602509Z return x * self.gate(x_se) 2025-08-14T21:34:15.1602523Z 2025-08-14T21:34:15.1602646Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1602887Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1602960Z return mod(*inputs) 2025-08-14T21:34:15.1603229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1603312Z x = self.forward_features(x) 2025-08-14T21:34:15.1603611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1603684Z x = self.blocks(x) 2025-08-14T21:34:15.1603964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1604037Z x = self.se(x) 2025-08-14T21:34:15.1604319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.1604400Z return x * self.gate(x_se) 2025-08-14T21:34:15.1604413Z 2025-08-14T21:34:15.1604535Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1604777Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1604853Z return mod(*inputs) 2025-08-14T21:34:15.1605162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1605248Z x = self.forward_features(x) 2025-08-14T21:34:15.1605545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1605617Z x = self.blocks(x) 2025-08-14T21:34:15.1605902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1605975Z x = self.se(x) 2025-08-14T21:34:15.1606255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.1606342Z return x * self.gate(x_se) 2025-08-14T21:34:15.1606355Z 2025-08-14T21:34:15.1606474Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1606718Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1606796Z return mod(*inputs) 2025-08-14T21:34:15.1607067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1607150Z x = self.forward_features(x) 2025-08-14T21:34:15.1607443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1607520Z x = self.blocks(x) 2025-08-14T21:34:15.1607800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1607881Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1607895Z 2025-08-14T21:34:15.1608011Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1608252Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1608331Z return mod(*inputs) 2025-08-14T21:34:15.1608592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1608678Z x = self.forward_features(x) 2025-08-14T21:34:15.1609018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1609092Z x = self.blocks(x) 2025-08-14T21:34:15.1609376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1609452Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1609464Z 2025-08-14T21:34:15.1609584Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1609828Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1609902Z return mod(*inputs) 2025-08-14T21:34:15.1610173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1610254Z x = self.forward_features(x) 2025-08-14T21:34:15.1610547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1610630Z x = self.blocks(x) 2025-08-14T21:34:15.1610910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.1610984Z x = self.conv_pw(x) 2025-08-14T21:34:15.1611249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1611384Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1611660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1611787Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1611800Z 2025-08-14T21:34:15.1611920Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1612172Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1612291Z return mod(*inputs) 2025-08-14T21:34:15.1612569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1612653Z x = self.forward_features(x) 2025-08-14T21:34:15.1612945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1613022Z x = self.blocks(x) 2025-08-14T21:34:15.1613302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.1613375Z x = self.conv_pw(x) 2025-08-14T21:34:15.1613636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1613763Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1614039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1614164Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1614180Z 2025-08-14T21:34:15.1614301Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1614548Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1614622Z return mod(*inputs) 2025-08-14T21:34:15.1614884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1614971Z x = self.forward_features(x) 2025-08-14T21:34:15.1615263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1615341Z x = self.blocks(x) 2025-08-14T21:34:15.1615624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.1615698Z x = self.conv_pw(x) 2025-08-14T21:34:15.1615960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1620352Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1620631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1620754Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1620766Z 2025-08-14T21:34:15.1620885Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1621132Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1621206Z return mod(*inputs) 2025-08-14T21:34:15.1621466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1621552Z x = self.forward_features(x) 2025-08-14T21:34:15.1621848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1621929Z x = self.blocks(x) 2025-08-14T21:34:15.1622209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.1622283Z x = self.conv_pw(x) 2025-08-14T21:34:15.1622543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1622664Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1622933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1623056Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1623069Z 2025-08-14T21:34:15.1623167Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1623264Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1623384Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1623688Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1623772Z return mod(*inputs) 2025-08-14T21:34:15.1624038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1624119Z x = self.forward_features(x) 2025-08-14T21:34:15.1624419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1624495Z x = self.blocks(x) 2025-08-14T21:34:15.1624789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.1624865Z x = self.conv_pw(x) 2025-08-14T21:34:15.1625120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.1625207Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.1625220Z 2025-08-14T21:34:15.1625345Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1625598Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1625673Z return mod(*inputs) 2025-08-14T21:34:15.1625934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1626018Z x = self.forward_features(x) 2025-08-14T21:34:15.1626309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1626381Z x = self.blocks(x) 2025-08-14T21:34:15.1626665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:34:15.1626735Z x = self.bn1(x) 2025-08-14T21:34:15.1627064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:34:15.1627139Z x = F.batch_norm( 2025-08-14T21:34:15.1627156Z 2025-08-14T21:34:15.1627324Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1627573Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1627648Z return mod(*inputs) 2025-08-14T21:34:15.1627911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1627995Z x = self.forward_features(x) 2025-08-14T21:34:15.1628287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1628380Z x = self.blocks(x) 2025-08-14T21:34:15.1628757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:34:15.1628828Z x = self.bn1(x) 2025-08-14T21:34:15.1629081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:34:15.1629154Z x = self.act(x) 2025-08-14T21:34:15.1629171Z 2025-08-14T21:34:15.1629262Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1629387Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1629629Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1629706Z return mod(*inputs) 2025-08-14T21:34:15.1629968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1630050Z x = self.forward_features(x) 2025-08-14T21:34:15.1630346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1630418Z x = self.blocks(x) 2025-08-14T21:34:15.1630779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1630859Z x = self.conv_dw(x) 2025-08-14T21:34:15.1631221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1631354Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1631626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1631751Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1631764Z 2025-08-14T21:34:15.1631889Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1632133Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1632212Z return mod(*inputs) 2025-08-14T21:34:15.1632481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1632564Z x = self.forward_features(x) 2025-08-14T21:34:15.1632865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1632943Z x = self.blocks(x) 2025-08-14T21:34:15.1633228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1633307Z x = self.conv_dw(x) 2025-08-14T21:34:15.1633564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1633689Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1633960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1634081Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1634094Z 2025-08-14T21:34:15.1634190Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1634310Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1634554Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1634678Z return mod(*inputs) 2025-08-14T21:34:15.1634946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1635032Z x = self.forward_features(x) 2025-08-14T21:34:15.1635328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1635401Z x = self.blocks(x) 2025-08-14T21:34:15.1635688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1635762Z x = self.conv_dw(x) 2025-08-14T21:34:15.1636016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1636141Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1636412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1636536Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1636548Z 2025-08-14T21:34:15.1636668Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1636909Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1636992Z return mod(*inputs) 2025-08-14T21:34:15.1637307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1637391Z x = self.forward_features(x) 2025-08-14T21:34:15.1637685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1637759Z x = self.blocks(x) 2025-08-14T21:34:15.1638050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1638170Z x = self.conv_dw(x) 2025-08-14T21:34:15.1638435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1638559Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1638825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1638948Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1638961Z 2025-08-14T21:34:15.1639053Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1639173Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1639419Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1639497Z return mod(*inputs) 2025-08-14T21:34:15.1639758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1639849Z x = self.forward_features(x) 2025-08-14T21:34:15.1640142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1640219Z x = self.blocks(x) 2025-08-14T21:34:15.1640499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1640572Z x = self.conv_dw(x) 2025-08-14T21:34:15.1640832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1640950Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1641215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1641338Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1641350Z 2025-08-14T21:34:15.1641468Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1641721Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1641838Z return mod(*inputs) 2025-08-14T21:34:15.1642098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1642184Z x = self.forward_features(x) 2025-08-14T21:34:15.1642482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1642560Z x = self.blocks(x) 2025-08-14T21:34:15.1642840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1642912Z x = self.conv_dw(x) 2025-08-14T21:34:15.1643169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1643287Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1643556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1643679Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1643692Z 2025-08-14T21:34:15.1643782Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1643905Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1644146Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1644224Z return mod(*inputs) 2025-08-14T21:34:15.1644490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1644572Z x = self.forward_features(x) 2025-08-14T21:34:15.1644863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1644940Z x = self.blocks(x) 2025-08-14T21:34:15.1649503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1649585Z x = self.conv_dw(x) 2025-08-14T21:34:15.1649841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1649960Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1650230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1650347Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1650360Z 2025-08-14T21:34:15.1650486Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1650729Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1650803Z return mod(*inputs) 2025-08-14T21:34:15.1651071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1651156Z x = self.forward_features(x) 2025-08-14T21:34:15.1651449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1651525Z x = self.blocks(x) 2025-08-14T21:34:15.1651805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1651882Z x = self.conv_dw(x) 2025-08-14T21:34:15.1652140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1652257Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1652532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1652648Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1652661Z 2025-08-14T21:34:15.1652754Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1652903Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1652993Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1653084Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1653203Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1653804Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1653886Z return mod(*inputs) 2025-08-14T21:34:15.1654155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1654237Z x = self.forward_features(x) 2025-08-14T21:34:15.1654531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1654604Z x = self.blocks(x) 2025-08-14T21:34:15.1654896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1654974Z x = self.conv_dw(x) 2025-08-14T21:34:15.1655232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.1655317Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.1655330Z 2025-08-14T21:34:15.1655420Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1655540Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1655786Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1655861Z return mod(*inputs) 2025-08-14T21:34:15.1656133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1656215Z x = self.forward_features(x) 2025-08-14T21:34:15.1656506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1656584Z x = self.blocks(x) 2025-08-14T21:34:15.1656958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1657032Z x = self.se(x) 2025-08-14T21:34:15.1657329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:34:15.1657420Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:34:15.1657433Z 2025-08-14T21:34:15.1657556Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1657796Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1657872Z return mod(*inputs) 2025-08-14T21:34:15.1658142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1658226Z x = self.forward_features(x) 2025-08-14T21:34:15.1658526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1658611Z x = self.blocks(x) 2025-08-14T21:34:15.1658893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1658973Z x = self.se(x) 2025-08-14T21:34:15.1659252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:34:15.1659334Z x_se = self.act1(x_se) 2025-08-14T21:34:15.1659347Z 2025-08-14T21:34:15.1659472Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1659790Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1659870Z return mod(*inputs) 2025-08-14T21:34:15.1660189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1660272Z x = self.forward_features(x) 2025-08-14T21:34:15.1660574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1660779Z x = self.blocks(x) 2025-08-14T21:34:15.1661060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1661141Z x = self.se(x) 2025-08-14T21:34:15.1661419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:34:15.1661506Z x_se = self.act1(x_se) 2025-08-14T21:34:15.1661519Z 2025-08-14T21:34:15.1661639Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1661879Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1661959Z return mod(*inputs) 2025-08-14T21:34:15.1662223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1662310Z x = self.forward_features(x) 2025-08-14T21:34:15.1662610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1662683Z x = self.blocks(x) 2025-08-14T21:34:15.1662967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1663037Z x = self.se(x) 2025-08-14T21:34:15.1663316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.1663402Z return x * self.gate(x_se) 2025-08-14T21:34:15.1663415Z 2025-08-14T21:34:15.1663533Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1663772Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1663851Z return mod(*inputs) 2025-08-14T21:34:15.1664657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1664750Z x = self.forward_features(x) 2025-08-14T21:34:15.1665041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1665115Z x = self.blocks(x) 2025-08-14T21:34:15.1665400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1665470Z x = self.se(x) 2025-08-14T21:34:15.1665748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.1665838Z return x * self.gate(x_se) 2025-08-14T21:34:15.1665851Z 2025-08-14T21:34:15.1665971Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1666219Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1666296Z return mod(*inputs) 2025-08-14T21:34:15.1666562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1666651Z x = self.forward_features(x) 2025-08-14T21:34:15.1667021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1667102Z x = self.blocks(x) 2025-08-14T21:34:15.1667382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1667452Z x = self.se(x) 2025-08-14T21:34:15.1667733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.1667812Z return x * self.gate(x_se) 2025-08-14T21:34:15.1667826Z 2025-08-14T21:34:15.1667916Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1668039Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1668284Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1668419Z return mod(*inputs) 2025-08-14T21:34:15.1668686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1668768Z x = self.forward_features(x) 2025-08-14T21:34:15.1669067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1669140Z x = self.blocks(x) 2025-08-14T21:34:15.1669421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1669503Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1669760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1669890Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1670164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1670293Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1670305Z 2025-08-14T21:34:15.1670429Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1670671Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1670745Z return mod(*inputs) 2025-08-14T21:34:15.1671012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1671095Z x = self.forward_features(x) 2025-08-14T21:34:15.1671394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1671466Z x = self.blocks(x) 2025-08-14T21:34:15.1671747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1671830Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1672131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1672255Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1672537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1672657Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1672669Z 2025-08-14T21:34:15.1672768Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1672886Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1673129Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1673211Z return mod(*inputs) 2025-08-14T21:34:15.1673472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1673561Z x = self.forward_features(x) 2025-08-14T21:34:15.1673854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1673927Z x = self.blocks(x) 2025-08-14T21:34:15.1678401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1678483Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1678744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1678875Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1679144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1679278Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1679291Z 2025-08-14T21:34:15.1679411Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1679657Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1679789Z return mod(*inputs) 2025-08-14T21:34:15.1680051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1680133Z x = self.forward_features(x) 2025-08-14T21:34:15.1680430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1680505Z x = self.blocks(x) 2025-08-14T21:34:15.1680794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1680871Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1681130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1681256Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1681528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1681653Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1681666Z 2025-08-14T21:34:15.1681758Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1681849Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1681974Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1682217Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1682294Z return mod(*inputs) 2025-08-14T21:34:15.1682563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1682648Z x = self.forward_features(x) 2025-08-14T21:34:15.1682946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1683020Z x = self.blocks(x) 2025-08-14T21:34:15.1683343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1683432Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1683693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.1683771Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.1683784Z 2025-08-14T21:34:15.1683911Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1684152Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1684233Z return mod(*inputs) 2025-08-14T21:34:15.1684496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1684578Z x = self.forward_features(x) 2025-08-14T21:34:15.1684878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1684957Z x = self.blocks(x) 2025-08-14T21:34:15.1685239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:34:15.1685332Z x = self.drop_path(x) + shortcut 2025-08-14T21:34:15.1685345Z 2025-08-14T21:34:15.1685465Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1685710Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1685785Z return mod(*inputs) 2025-08-14T21:34:15.1686046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1686134Z x = self.forward_features(x) 2025-08-14T21:34:15.1686421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1686495Z x = self.blocks(x) 2025-08-14T21:34:15.1686783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.1686931Z x = self.conv_pw(x) 2025-08-14T21:34:15.1687196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1687317Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1687585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1687712Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1687724Z 2025-08-14T21:34:15.1687845Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1688095Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1688172Z return mod(*inputs) 2025-08-14T21:34:15.1688440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1688609Z x = self.forward_features(x) 2025-08-14T21:34:15.1688907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1689017Z x = self.blocks(x) 2025-08-14T21:34:15.1689304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.1689381Z x = self.conv_pw(x) 2025-08-14T21:34:15.1689643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1689764Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1690031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1690156Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1690168Z 2025-08-14T21:34:15.1690330Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1690573Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1690656Z return mod(*inputs) 2025-08-14T21:34:15.1690919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1691007Z x = self.forward_features(x) 2025-08-14T21:34:15.1691299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1691375Z x = self.blocks(x) 2025-08-14T21:34:15.1691660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.1691736Z x = self.conv_pw(x) 2025-08-14T21:34:15.1691991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1692118Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1692388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1692510Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1692522Z 2025-08-14T21:34:15.1692640Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1692885Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1692964Z return mod(*inputs) 2025-08-14T21:34:15.1693284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1693372Z x = self.forward_features(x) 2025-08-14T21:34:15.1693664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1693738Z x = self.blocks(x) 2025-08-14T21:34:15.1694026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.1694145Z x = self.conv_pw(x) 2025-08-14T21:34:15.1694404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1694528Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1694793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1694916Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1694929Z 2025-08-14T21:34:15.1695021Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1695112Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1695237Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1695479Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1695554Z return mod(*inputs) 2025-08-14T21:34:15.1695825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1695909Z x = self.forward_features(x) 2025-08-14T21:34:15.1696208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1696281Z x = self.blocks(x) 2025-08-14T21:34:15.1696562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.1696642Z x = self.conv_pw(x) 2025-08-14T21:34:15.1696898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.1696978Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.1696996Z 2025-08-14T21:34:15.1697115Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1697399Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1697482Z return mod(*inputs) 2025-08-14T21:34:15.1697743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1697822Z x = self.forward_features(x) 2025-08-14T21:34:15.1698117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1698189Z x = self.blocks(x) 2025-08-14T21:34:15.1698479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:34:15.1698551Z x = self.bn1(x) 2025-08-14T21:34:15.1698799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:34:15.1698880Z x = F.batch_norm( 2025-08-14T21:34:15.1698893Z 2025-08-14T21:34:15.1699014Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1699257Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1699340Z return mod(*inputs) 2025-08-14T21:34:15.1699601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1699684Z x = self.forward_features(x) 2025-08-14T21:34:15.1699974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1700046Z x = self.blocks(x) 2025-08-14T21:34:15.1700332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:34:15.1700403Z x = self.bn1(x) 2025-08-14T21:34:15.1700652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:34:15.1700729Z x = self.act(x) 2025-08-14T21:34:15.1700742Z 2025-08-14T21:34:15.1700831Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1700961Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1701244Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1701319Z return mod(*inputs) 2025-08-14T21:34:15.1701588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1701669Z x = self.forward_features(x) 2025-08-14T21:34:15.1701961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1702038Z x = self.blocks(x) 2025-08-14T21:34:15.1702320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1702397Z x = self.conv_dw(x) 2025-08-14T21:34:15.1702656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1702783Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1711166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1711313Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1711327Z 2025-08-14T21:34:15.1711473Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1711791Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1711869Z return mod(*inputs) 2025-08-14T21:34:15.1712222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1712308Z x = self.forward_features(x) 2025-08-14T21:34:15.1712687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1712769Z x = self.blocks(x) 2025-08-14T21:34:15.1713210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1713303Z x = self.conv_dw(x) 2025-08-14T21:34:15.1713651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1713798Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1714072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1714191Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1714204Z 2025-08-14T21:34:15.1714296Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1714421Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1714662Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1714741Z return mod(*inputs) 2025-08-14T21:34:15.1715007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1715091Z x = self.forward_features(x) 2025-08-14T21:34:15.1715385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1715459Z x = self.blocks(x) 2025-08-14T21:34:15.1715738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1715817Z x = self.conv_dw(x) 2025-08-14T21:34:15.1716069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1716191Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1716460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1716576Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1716592Z 2025-08-14T21:34:15.1716759Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1716999Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1717077Z return mod(*inputs) 2025-08-14T21:34:15.1717342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1717423Z x = self.forward_features(x) 2025-08-14T21:34:15.1720166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1720242Z x = self.blocks(x) 2025-08-14T21:34:15.1720528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1720605Z x = self.conv_dw(x) 2025-08-14T21:34:15.1720863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1720990Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1721261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1721380Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1721393Z 2025-08-14T21:34:15.1721490Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1721613Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1721856Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1721936Z return mod(*inputs) 2025-08-14T21:34:15.1722251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1722340Z x = self.forward_features(x) 2025-08-14T21:34:15.1722690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1722769Z x = self.blocks(x) 2025-08-14T21:34:15.1723056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1723131Z x = self.conv_dw(x) 2025-08-14T21:34:15.1723388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1723515Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1723784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1723908Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1723921Z 2025-08-14T21:34:15.1724040Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1724284Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1724363Z return mod(*inputs) 2025-08-14T21:34:15.1724627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1724715Z x = self.forward_features(x) 2025-08-14T21:34:15.1725004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1725082Z x = self.blocks(x) 2025-08-14T21:34:15.1725371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1725445Z x = self.conv_dw(x) 2025-08-14T21:34:15.1725699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1725826Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1726095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1726225Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1726280Z 2025-08-14T21:34:15.1726372Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1726492Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1726738Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1726813Z return mod(*inputs) 2025-08-14T21:34:15.1727075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1727162Z x = self.forward_features(x) 2025-08-14T21:34:15.1727454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1727532Z x = self.blocks(x) 2025-08-14T21:34:15.1727815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1727888Z x = self.conv_dw(x) 2025-08-14T21:34:15.1728156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1728282Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1728664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1728790Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1728802Z 2025-08-14T21:34:15.1728921Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1729168Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1729245Z return mod(*inputs) 2025-08-14T21:34:15.1729510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1729602Z x = self.forward_features(x) 2025-08-14T21:34:15.1729939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1730025Z x = self.blocks(x) 2025-08-14T21:34:15.1730310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1730387Z x = self.conv_dw(x) 2025-08-14T21:34:15.1730650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1730770Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1731037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1731163Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1731176Z 2025-08-14T21:34:15.1731269Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1731367Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1731459Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1731554Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1731682Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1731923Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1732080Z return mod(*inputs) 2025-08-14T21:34:15.1732354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1732470Z x = self.forward_features(x) 2025-08-14T21:34:15.1732790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1732866Z x = self.blocks(x) 2025-08-14T21:34:15.1733147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1733229Z x = self.conv_dw(x) 2025-08-14T21:34:15.1733489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.1733620Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.1733632Z 2025-08-14T21:34:15.1733729Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1733849Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1734104Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1734181Z return mod(*inputs) 2025-08-14T21:34:15.1734452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1734546Z x = self.forward_features(x) 2025-08-14T21:34:15.1734839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1734919Z x = self.blocks(x) 2025-08-14T21:34:15.1735208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1735284Z x = self.se(x) 2025-08-14T21:34:15.1735572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:34:15.1735663Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:34:15.1735676Z 2025-08-14T21:34:15.1735795Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1736048Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1736126Z return mod(*inputs) 2025-08-14T21:34:15.1736392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1736482Z x = self.forward_features(x) 2025-08-14T21:34:15.1736776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1736859Z x = self.blocks(x) 2025-08-14T21:34:15.1737181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1737257Z x = self.se(x) 2025-08-14T21:34:15.1737546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:34:15.1737623Z x_se = self.act1(x_se) 2025-08-14T21:34:15.1737636Z 2025-08-14T21:34:15.1737756Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1737996Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1738073Z return mod(*inputs) 2025-08-14T21:34:15.1738336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1738417Z x = self.forward_features(x) 2025-08-14T21:34:15.1738707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1738785Z x = self.blocks(x) 2025-08-14T21:34:15.1739066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1739142Z x = self.se(x) 2025-08-14T21:34:15.1739417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:34:15.1739495Z x_se = self.act1(x_se) 2025-08-14T21:34:15.1739508Z 2025-08-14T21:34:15.1739629Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1739870Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1739943Z return mod(*inputs) 2025-08-14T21:34:15.1740209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1740290Z x = self.forward_features(x) 2025-08-14T21:34:15.1740582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1740658Z x = self.blocks(x) 2025-08-14T21:34:15.1740983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1741059Z x = self.se(x) 2025-08-14T21:34:15.1741336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.1741416Z return x * self.gate(x_se) 2025-08-14T21:34:15.1741433Z 2025-08-14T21:34:15.1741549Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1741785Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1741861Z return mod(*inputs) 2025-08-14T21:34:15.1742122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1742203Z x = self.forward_features(x) 2025-08-14T21:34:15.1742498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1742576Z x = self.blocks(x) 2025-08-14T21:34:15.1742858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1742935Z x = self.se(x) 2025-08-14T21:34:15.1743214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.1743296Z return x * self.gate(x_se) 2025-08-14T21:34:15.1743309Z 2025-08-14T21:34:15.1743426Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1743663Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1743745Z return mod(*inputs) 2025-08-14T21:34:15.1744004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1744091Z x = self.forward_features(x) 2025-08-14T21:34:15.1744422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1744500Z x = self.blocks(x) 2025-08-14T21:34:15.1744787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1744855Z x = self.se(x) 2025-08-14T21:34:15.1745132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.1745215Z return x * self.gate(x_se) 2025-08-14T21:34:15.1745228Z 2025-08-14T21:34:15.1745318Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1745439Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1745680Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1745753Z return mod(*inputs) 2025-08-14T21:34:15.1746022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1746105Z x = self.forward_features(x) 2025-08-14T21:34:15.1746400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1746476Z x = self.blocks(x) 2025-08-14T21:34:15.1751067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1751153Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1751412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1751537Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1751809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1751932Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1751944Z 2025-08-14T21:34:15.1752068Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1752368Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1752444Z return mod(*inputs) 2025-08-14T21:34:15.1752707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1752787Z x = self.forward_features(x) 2025-08-14T21:34:15.1753076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1753154Z x = self.blocks(x) 2025-08-14T21:34:15.1753715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1753802Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1754059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1754185Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1754464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1754582Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1754595Z 2025-08-14T21:34:15.1754688Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1754812Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1755106Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1755234Z return mod(*inputs) 2025-08-14T21:34:15.1755550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1755632Z x = self.forward_features(x) 2025-08-14T21:34:15.1755926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1756089Z x = self.blocks(x) 2025-08-14T21:34:15.1756374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1756460Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1756715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1756842Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1757109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1757232Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1757244Z 2025-08-14T21:34:15.1757365Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1757606Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1757684Z return mod(*inputs) 2025-08-14T21:34:15.1757951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1758035Z x = self.forward_features(x) 2025-08-14T21:34:15.1758329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1758404Z x = self.blocks(x) 2025-08-14T21:34:15.1758686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1758767Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1759024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1759148Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1759415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1759535Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1759603Z 2025-08-14T21:34:15.1759700Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1759790Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1759910Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1760156Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1760231Z return mod(*inputs) 2025-08-14T21:34:15.1760501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1760583Z x = self.forward_features(x) 2025-08-14T21:34:15.1760873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1760948Z x = self.blocks(x) 2025-08-14T21:34:15.1761303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1761382Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1761700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.1761778Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.1761791Z 2025-08-14T21:34:15.1761913Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1762156Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1762230Z return mod(*inputs) 2025-08-14T21:34:15.1762495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1762575Z x = self.forward_features(x) 2025-08-14T21:34:15.1762865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1762941Z x = self.blocks(x) 2025-08-14T21:34:15.1763264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:34:15.1763358Z x = self.drop_path(x) + shortcut 2025-08-14T21:34:15.1763370Z 2025-08-14T21:34:15.1763489Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1763783Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1763862Z return mod(*inputs) 2025-08-14T21:34:15.1764122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1764203Z x = self.forward_features(x) 2025-08-14T21:34:15.1764498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1764571Z x = self.blocks(x) 2025-08-14T21:34:15.1764854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.1764926Z x = self.conv_pw(x) 2025-08-14T21:34:15.1765185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1765313Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1765580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1765703Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1765716Z 2025-08-14T21:34:15.1765835Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1766075Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1766153Z return mod(*inputs) 2025-08-14T21:34:15.1766438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1766519Z x = self.forward_features(x) 2025-08-14T21:34:15.1766815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1766937Z x = self.blocks(x) 2025-08-14T21:34:15.1767222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.1767295Z x = self.conv_pw(x) 2025-08-14T21:34:15.1767552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1767674Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1767940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1768057Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1768073Z 2025-08-14T21:34:15.1768189Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1768433Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1768517Z return mod(*inputs) 2025-08-14T21:34:15.1768781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1768863Z x = self.forward_features(x) 2025-08-14T21:34:15.1769159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1769235Z x = self.blocks(x) 2025-08-14T21:34:15.1769522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.1769596Z x = self.conv_pw(x) 2025-08-14T21:34:15.1769848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1769970Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1770239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1770398Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1770415Z 2025-08-14T21:34:15.1770540Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1770781Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1770860Z return mod(*inputs) 2025-08-14T21:34:15.1771119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1771198Z x = self.forward_features(x) 2025-08-14T21:34:15.1771494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1771568Z x = self.blocks(x) 2025-08-14T21:34:15.1771846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.1771926Z x = self.conv_pw(x) 2025-08-14T21:34:15.1772184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1772310Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1772577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1772696Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1772709Z 2025-08-14T21:34:15.1772803Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1772893Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1773014Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1773254Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1773329Z return mod(*inputs) 2025-08-14T21:34:15.1773594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1773677Z x = self.forward_features(x) 2025-08-14T21:34:15.1774007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1774088Z x = self.blocks(x) 2025-08-14T21:34:15.1774371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:34:15.1774448Z x = self.conv_pw(x) 2025-08-14T21:34:15.1774703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.1774782Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.1774794Z 2025-08-14T21:34:15.1774917Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1775160Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1775234Z return mod(*inputs) 2025-08-14T21:34:15.1779685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1779776Z x = self.forward_features(x) 2025-08-14T21:34:15.1780072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1780149Z x = self.blocks(x) 2025-08-14T21:34:15.1780430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:34:15.1780505Z x = self.bn1(x) 2025-08-14T21:34:15.1780754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:34:15.1780826Z x = F.batch_norm( 2025-08-14T21:34:15.1780839Z 2025-08-14T21:34:15.1780968Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1781210Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1781287Z return mod(*inputs) 2025-08-14T21:34:15.1781594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1781679Z x = self.forward_features(x) 2025-08-14T21:34:15.1781973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1782045Z x = self.blocks(x) 2025-08-14T21:34:15.1782325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:34:15.1782402Z x = self.bn1(x) 2025-08-14T21:34:15.1782651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:34:15.1782724Z x = self.act(x) 2025-08-14T21:34:15.1782737Z 2025-08-14T21:34:15.1782830Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1782948Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1783193Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1783274Z return mod(*inputs) 2025-08-14T21:34:15.1783537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1783626Z x = self.forward_features(x) 2025-08-14T21:34:15.1783918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1783999Z x = self.blocks(x) 2025-08-14T21:34:15.1784281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1784356Z x = self.conv_dw(x) 2025-08-14T21:34:15.1784621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1784743Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1785015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1785197Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1785210Z 2025-08-14T21:34:15.1785330Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1785576Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1785652Z return mod(*inputs) 2025-08-14T21:34:15.1785914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1786000Z x = self.forward_features(x) 2025-08-14T21:34:15.1786291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1786371Z x = self.blocks(x) 2025-08-14T21:34:15.1786654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1786728Z x = self.conv_dw(x) 2025-08-14T21:34:15.1787068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1787190Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1787454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1787575Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1787587Z 2025-08-14T21:34:15.1787677Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1787798Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1788041Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1788144Z return mod(*inputs) 2025-08-14T21:34:15.1788407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1788488Z x = self.forward_features(x) 2025-08-14T21:34:15.1788830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1788916Z x = self.blocks(x) 2025-08-14T21:34:15.1789204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1789283Z x = self.conv_dw(x) 2025-08-14T21:34:15.1789543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1789662Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1789937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1790129Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1790142Z 2025-08-14T21:34:15.1790268Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1790568Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1790646Z return mod(*inputs) 2025-08-14T21:34:15.1790913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1790996Z x = self.forward_features(x) 2025-08-14T21:34:15.1791287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1791365Z x = self.blocks(x) 2025-08-14T21:34:15.1791644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1791721Z x = self.conv_dw(x) 2025-08-14T21:34:15.1791976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1792094Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1792367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1792533Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1792546Z 2025-08-14T21:34:15.1792637Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1792759Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1793003Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1793083Z return mod(*inputs) 2025-08-14T21:34:15.1793346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1793426Z x = self.forward_features(x) 2025-08-14T21:34:15.1793721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1793794Z x = self.blocks(x) 2025-08-14T21:34:15.1794078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1794161Z x = self.conv_dw(x) 2025-08-14T21:34:15.1794416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1794539Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1794864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1794982Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1794994Z 2025-08-14T21:34:15.1795117Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1795363Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1795444Z return mod(*inputs) 2025-08-14T21:34:15.1795704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1795902Z x = self.forward_features(x) 2025-08-14T21:34:15.1796201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1796277Z x = self.blocks(x) 2025-08-14T21:34:15.1796557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1796637Z x = self.conv_dw(x) 2025-08-14T21:34:15.1796895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1797019Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1797284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1797403Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1797416Z 2025-08-14T21:34:15.1797511Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1797633Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1797878Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1797958Z return mod(*inputs) 2025-08-14T21:34:15.1798220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1798307Z x = self.forward_features(x) 2025-08-14T21:34:15.1798596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1798672Z x = self.blocks(x) 2025-08-14T21:34:15.1798957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1799032Z x = self.conv_dw(x) 2025-08-14T21:34:15.1799289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1799415Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1799725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1799846Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1799858Z 2025-08-14T21:34:15.1799977Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1800218Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1800296Z return mod(*inputs) 2025-08-14T21:34:15.1800558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1800649Z x = self.forward_features(x) 2025-08-14T21:34:15.1800937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1801009Z x = self.blocks(x) 2025-08-14T21:34:15.1801297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1801373Z x = self.conv_dw(x) 2025-08-14T21:34:15.1801628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1801751Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1802019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1802139Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1802152Z 2025-08-14T21:34:15.1802243Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1802331Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1802424Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1802511Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1802629Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1802920Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1802999Z return mod(*inputs) 2025-08-14T21:34:15.1803268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1803350Z x = self.forward_features(x) 2025-08-14T21:34:15.1803641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1803718Z x = self.blocks(x) 2025-08-14T21:34:15.1803999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1804073Z x = self.conv_dw(x) 2025-08-14T21:34:15.1804335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.1804414Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.1804427Z 2025-08-14T21:34:15.1808768Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1808895Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1809137Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1809222Z return mod(*inputs) 2025-08-14T21:34:15.1809484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1809566Z x = self.forward_features(x) 2025-08-14T21:34:15.1809864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1809938Z x = self.blocks(x) 2025-08-14T21:34:15.1810224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1810295Z x = self.se(x) 2025-08-14T21:34:15.1810576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:34:15.1810673Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:34:15.1810732Z 2025-08-14T21:34:15.1810852Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1811101Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1811181Z return mod(*inputs) 2025-08-14T21:34:15.1811446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1811533Z x = self.forward_features(x) 2025-08-14T21:34:15.1811823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1811897Z x = self.blocks(x) 2025-08-14T21:34:15.1812183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1812253Z x = self.se(x) 2025-08-14T21:34:15.1812540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:34:15.1812623Z x_se = self.act1(x_se) 2025-08-14T21:34:15.1812636Z 2025-08-14T21:34:15.1812755Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1813005Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1813079Z return mod(*inputs) 2025-08-14T21:34:15.1813339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1813429Z x = self.forward_features(x) 2025-08-14T21:34:15.1813719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1813796Z x = self.blocks(x) 2025-08-14T21:34:15.1814077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1814146Z x = self.se(x) 2025-08-14T21:34:15.1814471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:34:15.1814553Z x_se = self.act1(x_se) 2025-08-14T21:34:15.1814566Z 2025-08-14T21:34:15.1814690Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1814937Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1815011Z return mod(*inputs) 2025-08-14T21:34:15.1815277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1815360Z x = self.forward_features(x) 2025-08-14T21:34:15.1815650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1815727Z x = self.blocks(x) 2025-08-14T21:34:15.1816009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1816084Z x = self.se(x) 2025-08-14T21:34:15.1816367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.1816447Z return x * self.gate(x_se) 2025-08-14T21:34:15.1816460Z 2025-08-14T21:34:15.1816582Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1816821Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1816896Z return mod(*inputs) 2025-08-14T21:34:15.1817159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1817240Z x = self.forward_features(x) 2025-08-14T21:34:15.1817535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1817606Z x = self.blocks(x) 2025-08-14T21:34:15.1817887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1818016Z x = self.se(x) 2025-08-14T21:34:15.1818292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.1818371Z return x * self.gate(x_se) 2025-08-14T21:34:15.1818384Z 2025-08-14T21:34:15.1818504Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1818745Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1818822Z return mod(*inputs) 2025-08-14T21:34:15.1819156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1819237Z x = self.forward_features(x) 2025-08-14T21:34:15.1819581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1819657Z x = self.blocks(x) 2025-08-14T21:34:15.1819939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1820011Z x = self.se(x) 2025-08-14T21:34:15.1820286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.1820370Z return x * self.gate(x_se) 2025-08-14T21:34:15.1820382Z 2025-08-14T21:34:15.1820474Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1820595Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1820836Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1820912Z return mod(*inputs) 2025-08-14T21:34:15.1821173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1821258Z x = self.forward_features(x) 2025-08-14T21:34:15.1821589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1821668Z x = self.blocks(x) 2025-08-14T21:34:15.1821949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1822025Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1822285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1822408Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1822676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1822800Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1822812Z 2025-08-14T21:34:15.1822929Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1823174Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1823252Z return mod(*inputs) 2025-08-14T21:34:15.1823511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1823628Z x = self.forward_features(x) 2025-08-14T21:34:15.1823933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1824010Z x = self.blocks(x) 2025-08-14T21:34:15.1824290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1824366Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1824624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1824744Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1825016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1825186Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1825199Z 2025-08-14T21:34:15.1825290Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1825413Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1825657Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1825731Z return mod(*inputs) 2025-08-14T21:34:15.1825994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1826075Z x = self.forward_features(x) 2025-08-14T21:34:15.1826363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1826439Z x = self.blocks(x) 2025-08-14T21:34:15.1826724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1826890Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1827147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1827268Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1827541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1827659Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1827671Z 2025-08-14T21:34:15.1827797Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1828037Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1828112Z return mod(*inputs) 2025-08-14T21:34:15.1828396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1828527Z x = self.forward_features(x) 2025-08-14T21:34:15.1828889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1828975Z x = self.blocks(x) 2025-08-14T21:34:15.1829258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1829344Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1829596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1829713Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1829984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1830104Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1830117Z 2025-08-14T21:34:15.1830206Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1830301Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1830423Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1830667Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1830741Z return mod(*inputs) 2025-08-14T21:34:15.1831005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1831090Z x = self.forward_features(x) 2025-08-14T21:34:15.1831380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1831454Z x = self.blocks(x) 2025-08-14T21:34:15.1831739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1831814Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1832075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.1832156Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.1832211Z 2025-08-14T21:34:15.1832330Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1832577Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1832651Z return mod(*inputs) 2025-08-14T21:34:15.1832913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1832997Z x = self.forward_features(x) 2025-08-14T21:34:15.1833285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1833360Z x = self.blocks(x) 2025-08-14T21:34:15.1842106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:34:15.1842202Z x = self.drop_path(x) + shortcut 2025-08-14T21:34:15.1842216Z 2025-08-14T21:34:15.1842366Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1842695Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1842778Z return mod(*inputs) 2025-08-14T21:34:15.1843124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1843210Z x = self.forward_features(x) 2025-08-14T21:34:15.1843601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1843677Z x = self.blocks(x) 2025-08-14T21:34:15.1844056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:34:15.1844138Z x = self.bn1(x) 2025-08-14T21:34:15.1844472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:34:15.1844552Z x = self.act(x) 2025-08-14T21:34:15.1844611Z 2025-08-14T21:34:15.1844735Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1844978Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1845056Z return mod(*inputs) 2025-08-14T21:34:15.1845317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1845398Z x = self.forward_features(x) 2025-08-14T21:34:15.1845690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1845762Z x = self.blocks(x) 2025-08-14T21:34:15.1846048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:34:15.1846118Z x = self.bn1(x) 2025-08-14T21:34:15.1846365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:34:15.1846443Z x = self.act(x) 2025-08-14T21:34:15.1846459Z 2025-08-14T21:34:15.1846575Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1846815Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1846893Z return mod(*inputs) 2025-08-14T21:34:15.1847151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1847235Z x = self.forward_features(x) 2025-08-14T21:34:15.1847524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1847597Z x = self.blocks(x) 2025-08-14T21:34:15.1847882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1847956Z x = self.conv_dw(x) 2025-08-14T21:34:15.1848280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1848498Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1848770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1848895Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1848908Z 2025-08-14T21:34:15.1849030Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1849271Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1849348Z return mod(*inputs) 2025-08-14T21:34:15.1849612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1849703Z x = self.forward_features(x) 2025-08-14T21:34:15.1849995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1850070Z x = self.blocks(x) 2025-08-14T21:34:15.1850357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1850434Z x = self.conv_dw(x) 2025-08-14T21:34:15.1850688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1850814Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1851084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1851205Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1851218Z 2025-08-14T21:34:15.1851335Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1851576Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1851655Z return mod(*inputs) 2025-08-14T21:34:15.1851979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1852064Z x = self.forward_features(x) 2025-08-14T21:34:15.1852360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1852433Z x = self.blocks(x) 2025-08-14T21:34:15.1852770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1852844Z x = self.conv_dw(x) 2025-08-14T21:34:15.1853098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1853223Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1853808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1853935Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1853951Z 2025-08-14T21:34:15.1854069Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1854310Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1854388Z return mod(*inputs) 2025-08-14T21:34:15.1854650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1854732Z x = self.forward_features(x) 2025-08-14T21:34:15.1855025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1855097Z x = self.blocks(x) 2025-08-14T21:34:15.1855383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1855462Z x = self.conv_dw(x) 2025-08-14T21:34:15.1855721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1855895Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1856164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1856279Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1856296Z 2025-08-14T21:34:15.1856416Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1856657Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1856738Z return mod(*inputs) 2025-08-14T21:34:15.1856999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1857081Z x = self.forward_features(x) 2025-08-14T21:34:15.1857376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1857453Z x = self.blocks(x) 2025-08-14T21:34:15.1857742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1857815Z x = self.conv_dw(x) 2025-08-14T21:34:15.1858070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1858193Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1858463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1858579Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1858591Z 2025-08-14T21:34:15.1858714Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1858954Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1859030Z return mod(*inputs) 2025-08-14T21:34:15.1859365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1859450Z x = self.forward_features(x) 2025-08-14T21:34:15.1859744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1859816Z x = self.blocks(x) 2025-08-14T21:34:15.1860097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1860173Z x = self.conv_dw(x) 2025-08-14T21:34:15.1860430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1860551Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1860816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1860930Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1860946Z 2025-08-14T21:34:15.1861071Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1861310Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1861388Z return mod(*inputs) 2025-08-14T21:34:15.1861650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1861731Z x = self.forward_features(x) 2025-08-14T21:34:15.1862022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1862095Z x = self.blocks(x) 2025-08-14T21:34:15.1862378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1862455Z x = self.conv_dw(x) 2025-08-14T21:34:15.1862786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1863024Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1863295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1863412Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1863425Z 2025-08-14T21:34:15.1863547Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1863788Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1863864Z return mod(*inputs) 2025-08-14T21:34:15.1864131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1864211Z x = self.forward_features(x) 2025-08-14T21:34:15.1864504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1864581Z x = self.blocks(x) 2025-08-14T21:34:15.1864866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1864945Z x = self.conv_dw(x) 2025-08-14T21:34:15.1865199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1865315Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1865585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1865702Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1865714Z 2025-08-14T21:34:15.1865809Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1865900Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1865989Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1866080Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1866243Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1866488Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1866567Z return mod(*inputs) 2025-08-14T21:34:15.1866897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1866982Z x = self.forward_features(x) 2025-08-14T21:34:15.1867273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1867346Z x = self.blocks(x) 2025-08-14T21:34:15.1867631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1867705Z x = self.conv_dw(x) 2025-08-14T21:34:15.1867960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.1868046Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.1868062Z 2025-08-14T21:34:15.1868154Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1868277Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1868517Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1868592Z return mod(*inputs) 2025-08-14T21:34:15.1868858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1868939Z x = self.forward_features(x) 2025-08-14T21:34:15.1869233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1869306Z x = self.blocks(x) 2025-08-14T21:34:15.1869590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1869664Z x = self.se(x) 2025-08-14T21:34:15.1869947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:34:15.1870077Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:34:15.1870090Z 2025-08-14T21:34:15.1870212Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1870453Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1870534Z return mod(*inputs) 2025-08-14T21:34:15.1870798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1870878Z x = self.forward_features(x) 2025-08-14T21:34:15.1871175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1871250Z x = self.blocks(x) 2025-08-14T21:34:15.1871531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1871608Z x = self.se(x) 2025-08-14T21:34:15.1871891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:34:15.1871980Z x_se = self.act1(x_se) 2025-08-14T21:34:15.1871993Z 2025-08-14T21:34:15.1872109Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1872348Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1872427Z return mod(*inputs) 2025-08-14T21:34:15.1872688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1872769Z x = self.forward_features(x) 2025-08-14T21:34:15.1873063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1873136Z x = self.blocks(x) 2025-08-14T21:34:15.1873462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1873537Z x = self.se(x) 2025-08-14T21:34:15.1873819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:34:15.1873906Z x_se = self.act1(x_se) 2025-08-14T21:34:15.1873919Z 2025-08-14T21:34:15.1874038Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1874287Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1874367Z return mod(*inputs) 2025-08-14T21:34:15.1874632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1874724Z x = self.forward_features(x) 2025-08-14T21:34:15.1875014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1875087Z x = self.blocks(x) 2025-08-14T21:34:15.1886216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1886328Z x = self.se(x) 2025-08-14T21:34:15.1886645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.1886736Z return x * self.gate(x_se) 2025-08-14T21:34:15.1886751Z 2025-08-14T21:34:15.1886881Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1887140Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1887219Z return mod(*inputs) 2025-08-14T21:34:15.1887492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1887580Z x = self.forward_features(x) 2025-08-14T21:34:15.1887878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1887954Z x = self.blocks(x) 2025-08-14T21:34:15.1888246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1888416Z x = self.se(x) 2025-08-14T21:34:15.1888703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.1888786Z return x * self.gate(x_se) 2025-08-14T21:34:15.1888799Z 2025-08-14T21:34:15.1888927Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1889181Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1889259Z return mod(*inputs) 2025-08-14T21:34:15.1889524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1889614Z x = self.forward_features(x) 2025-08-14T21:34:15.1889913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1889996Z x = self.blocks(x) 2025-08-14T21:34:15.1890278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1890349Z x = self.se(x) 2025-08-14T21:34:15.1890634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.1890717Z return x * self.gate(x_se) 2025-08-14T21:34:15.1890730Z 2025-08-14T21:34:15.1890856Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1891098Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1891174Z return mod(*inputs) 2025-08-14T21:34:15.1891441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1891631Z x = self.forward_features(x) 2025-08-14T21:34:15.1892033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1892117Z x = self.blocks(x) 2025-08-14T21:34:15.1892398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1892479Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1892493Z 2025-08-14T21:34:15.1892614Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1892856Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1892934Z return mod(*inputs) 2025-08-14T21:34:15.1893196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1893277Z x = self.forward_features(x) 2025-08-14T21:34:15.1893574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1893651Z x = self.blocks(x) 2025-08-14T21:34:15.1893943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1894021Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1894033Z 2025-08-14T21:34:15.1894153Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1894397Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1894472Z return mod(*inputs) 2025-08-14T21:34:15.1894734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1894819Z x = self.forward_features(x) 2025-08-14T21:34:15.1895109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1895188Z x = self.blocks(x) 2025-08-14T21:34:15.1895473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:34:15.1895585Z x = self.bn1(x) 2025-08-14T21:34:15.1895843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:34:15.1895916Z x = self.act(x) 2025-08-14T21:34:15.1895929Z 2025-08-14T21:34:15.1896052Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1896298Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1896372Z return mod(*inputs) 2025-08-14T21:34:15.1896637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1896717Z x = self.forward_features(x) 2025-08-14T21:34:15.1897007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1897084Z x = self.blocks(x) 2025-08-14T21:34:15.1897370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:34:15.1897443Z x = self.bn1(x) 2025-08-14T21:34:15.1897693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:34:15.1897764Z x = self.act(x) 2025-08-14T21:34:15.1897777Z 2025-08-14T21:34:15.1897902Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1898141Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1898216Z return mod(*inputs) 2025-08-14T21:34:15.1898484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1898566Z x = self.forward_features(x) 2025-08-14T21:34:15.1898859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1898932Z x = self.blocks(x) 2025-08-14T21:34:15.1899255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1899337Z x = self.conv_dw(x) 2025-08-14T21:34:15.1899595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1899728Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1900007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1900134Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1900146Z 2025-08-14T21:34:15.1900269Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1900512Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1900586Z return mod(*inputs) 2025-08-14T21:34:15.1900856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1900941Z x = self.forward_features(x) 2025-08-14T21:34:15.1901234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1901313Z x = self.blocks(x) 2025-08-14T21:34:15.1901594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1901670Z x = self.conv_dw(x) 2025-08-14T21:34:15.1901927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1902051Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1902326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1902446Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1902458Z 2025-08-14T21:34:15.1902584Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1902868Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1902944Z return mod(*inputs) 2025-08-14T21:34:15.1903209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1903291Z x = self.forward_features(x) 2025-08-14T21:34:15.1903580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1903655Z x = self.blocks(x) 2025-08-14T21:34:15.1903937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1904013Z x = self.conv_dw(x) 2025-08-14T21:34:15.1904270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1904392Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1904667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1904785Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1904798Z 2025-08-14T21:34:15.1904916Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1905161Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1905235Z return mod(*inputs) 2025-08-14T21:34:15.1905498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1905579Z x = self.forward_features(x) 2025-08-14T21:34:15.1905867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1905943Z x = self.blocks(x) 2025-08-14T21:34:15.1910497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1910579Z x = self.conv_dw(x) 2025-08-14T21:34:15.1910840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1910961Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1911233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1911351Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1911364Z 2025-08-14T21:34:15.1911483Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1911728Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1911803Z return mod(*inputs) 2025-08-14T21:34:15.1912071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1912155Z x = self.forward_features(x) 2025-08-14T21:34:15.1912453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1912532Z x = self.blocks(x) 2025-08-14T21:34:15.1912814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1912888Z x = self.conv_dw(x) 2025-08-14T21:34:15.1913148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1913267Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1913537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1913663Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1913676Z 2025-08-14T21:34:15.1913799Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1914085Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1914163Z return mod(*inputs) 2025-08-14T21:34:15.1914426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1914512Z x = self.forward_features(x) 2025-08-14T21:34:15.1914802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1914875Z x = self.blocks(x) 2025-08-14T21:34:15.1915160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1915234Z x = self.conv_dw(x) 2025-08-14T21:34:15.1915488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1915613Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1915883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1916004Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1916017Z 2025-08-14T21:34:15.1916135Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1916376Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1916457Z return mod(*inputs) 2025-08-14T21:34:15.1916720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1916801Z x = self.forward_features(x) 2025-08-14T21:34:15.1917096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1917168Z x = self.blocks(x) 2025-08-14T21:34:15.1917494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1917572Z x = self.conv_dw(x) 2025-08-14T21:34:15.1917828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1917950Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1918216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1918333Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1918350Z 2025-08-14T21:34:15.1918468Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1918709Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1918788Z return mod(*inputs) 2025-08-14T21:34:15.1919055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1919142Z x = self.forward_features(x) 2025-08-14T21:34:15.1919438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1919511Z x = self.blocks(x) 2025-08-14T21:34:15.1919796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1919870Z x = self.conv_dw(x) 2025-08-14T21:34:15.1920124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1920244Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1920583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1920705Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1920721Z 2025-08-14T21:34:15.1920821Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1921021Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1921115Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1921202Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1921322Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1921570Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1921649Z return mod(*inputs) 2025-08-14T21:34:15.1921914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1922001Z x = self.forward_features(x) 2025-08-14T21:34:15.1922294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1922374Z x = self.blocks(x) 2025-08-14T21:34:15.1922660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1922738Z x = self.conv_dw(x) 2025-08-14T21:34:15.1922998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.1923078Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.1923092Z 2025-08-14T21:34:15.1923181Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1923304Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1923544Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1923623Z return mod(*inputs) 2025-08-14T21:34:15.1923886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1923966Z x = self.forward_features(x) 2025-08-14T21:34:15.1924259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1924335Z x = self.blocks(x) 2025-08-14T21:34:15.1924656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1924734Z x = self.se(x) 2025-08-14T21:34:15.1925018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:34:15.1925108Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:34:15.1925121Z 2025-08-14T21:34:15.1925241Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1925483Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1925561Z return mod(*inputs) 2025-08-14T21:34:15.1925823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1925905Z x = self.forward_features(x) 2025-08-14T21:34:15.1926201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1926276Z x = self.blocks(x) 2025-08-14T21:34:15.1926559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1926629Z x = self.se(x) 2025-08-14T21:34:15.1926907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:34:15.1926993Z x_se = self.act1(x_se) 2025-08-14T21:34:15.1927006Z 2025-08-14T21:34:15.1927126Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1927430Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1927506Z return mod(*inputs) 2025-08-14T21:34:15.1927767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1927852Z x = self.forward_features(x) 2025-08-14T21:34:15.1928145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1928260Z x = self.blocks(x) 2025-08-14T21:34:15.1928602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1928671Z x = self.se(x) 2025-08-14T21:34:15.1928951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:34:15.1929030Z x_se = self.act1(x_se) 2025-08-14T21:34:15.1929042Z 2025-08-14T21:34:15.1929160Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1929408Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1929482Z return mod(*inputs) 2025-08-14T21:34:15.1929744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1929829Z x = self.forward_features(x) 2025-08-14T21:34:15.1930124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1930200Z x = self.blocks(x) 2025-08-14T21:34:15.1930480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1930552Z x = self.se(x) 2025-08-14T21:34:15.1930834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.1930915Z return x * self.gate(x_se) 2025-08-14T21:34:15.1930928Z 2025-08-14T21:34:15.1931046Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1931291Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1931364Z return mod(*inputs) 2025-08-14T21:34:15.1931669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1931754Z x = self.forward_features(x) 2025-08-14T21:34:15.1932043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1932118Z x = self.blocks(x) 2025-08-14T21:34:15.1932398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1932467Z x = self.se(x) 2025-08-14T21:34:15.1932748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.1932827Z return x * self.gate(x_se) 2025-08-14T21:34:15.1932840Z 2025-08-14T21:34:15.1932961Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1933202Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1933275Z return mod(*inputs) 2025-08-14T21:34:15.1933547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1933632Z x = self.forward_features(x) 2025-08-14T21:34:15.1933925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1933998Z x = self.blocks(x) 2025-08-14T21:34:15.1934276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1934350Z x = self.se(x) 2025-08-14T21:34:15.1934627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.1934706Z return x * self.gate(x_se) 2025-08-14T21:34:15.1934719Z 2025-08-14T21:34:15.1934816Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1934934Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1939421Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1939543Z return mod(*inputs) 2025-08-14T21:34:15.1939808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1939896Z x = self.forward_features(x) 2025-08-14T21:34:15.1940188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1940261Z x = self.blocks(x) 2025-08-14T21:34:15.1940545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1940622Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1940883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1941008Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1941282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1941414Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1941426Z 2025-08-14T21:34:15.1941549Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1941796Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1941871Z return mod(*inputs) 2025-08-14T21:34:15.1942133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1942218Z x = self.forward_features(x) 2025-08-14T21:34:15.1942512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1942584Z x = self.blocks(x) 2025-08-14T21:34:15.1942869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1942945Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1943321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1943446Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1943715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1943836Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1943849Z 2025-08-14T21:34:15.1943941Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1944062Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1944312Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1944386Z return mod(*inputs) 2025-08-14T21:34:15.1944652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1944736Z x = self.forward_features(x) 2025-08-14T21:34:15.1945033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1945112Z x = self.blocks(x) 2025-08-14T21:34:15.1945391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1945466Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1945726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1945845Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1946116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1946234Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1946247Z 2025-08-14T21:34:15.1946365Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1946614Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1946731Z return mod(*inputs) 2025-08-14T21:34:15.1947066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1947148Z x = self.forward_features(x) 2025-08-14T21:34:15.1947436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1947512Z x = self.blocks(x) 2025-08-14T21:34:15.1947793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1947867Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1948128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1948246Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1948519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1948639Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1948652Z 2025-08-14T21:34:15.1948743Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1948837Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1948957Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1949199Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1949277Z return mod(*inputs) 2025-08-14T21:34:15.1949613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1949699Z x = self.forward_features(x) 2025-08-14T21:34:15.1950043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1950117Z x = self.blocks(x) 2025-08-14T21:34:15.1950452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.1950531Z x = self.conv_pwl(x) 2025-08-14T21:34:15.1950789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.1950872Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.1950885Z 2025-08-14T21:34:15.1951001Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1951246Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1951320Z return mod(*inputs) 2025-08-14T21:34:15.1951580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1951664Z x = self.forward_features(x) 2025-08-14T21:34:15.1951952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1952031Z x = self.blocks(x) 2025-08-14T21:34:15.1952314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:34:15.1952400Z x = self.drop_path(x) + shortcut 2025-08-14T21:34:15.1952412Z 2025-08-14T21:34:15.1952534Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1952773Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1952847Z return mod(*inputs) 2025-08-14T21:34:15.1953111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1953191Z x = self.forward_features(x) 2025-08-14T21:34:15.1953786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1953861Z x = self.blocks(x) 2025-08-14T21:34:15.1954226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:34:15.1954454Z x = self.bn1(x) 2025-08-14T21:34:15.1954708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:34:15.1954779Z x = self.act(x) 2025-08-14T21:34:15.1954792Z 2025-08-14T21:34:15.1954919Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1955159Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1955243Z return mod(*inputs) 2025-08-14T21:34:15.1955505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1955587Z x = self.forward_features(x) 2025-08-14T21:34:15.1955879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1955951Z x = self.blocks(x) 2025-08-14T21:34:15.1956237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:34:15.1956316Z x = self.bn1(x) 2025-08-14T21:34:15.1956563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:34:15.1956636Z x = self.act(x) 2025-08-14T21:34:15.1956649Z 2025-08-14T21:34:15.1956767Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1957008Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1957088Z return mod(*inputs) 2025-08-14T21:34:15.1957349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1957429Z x = self.forward_features(x) 2025-08-14T21:34:15.1957722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1957851Z x = self.blocks(x) 2025-08-14T21:34:15.1958142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1958215Z x = self.conv_dw(x) 2025-08-14T21:34:15.1958471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1958606Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1958876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1958996Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1959012Z 2025-08-14T21:34:15.1959130Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1959371Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1959450Z return mod(*inputs) 2025-08-14T21:34:15.1959715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1959799Z x = self.forward_features(x) 2025-08-14T21:34:15.1960093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1960165Z x = self.blocks(x) 2025-08-14T21:34:15.1960447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1960520Z x = self.conv_dw(x) 2025-08-14T21:34:15.1960774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1960898Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1961165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1961285Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1961342Z 2025-08-14T21:34:15.1961466Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1961708Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1961787Z return mod(*inputs) 2025-08-14T21:34:15.1962049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1962130Z x = self.forward_features(x) 2025-08-14T21:34:15.1962424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1962496Z x = self.blocks(x) 2025-08-14T21:34:15.1962778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1962853Z x = self.conv_dw(x) 2025-08-14T21:34:15.1963114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1963238Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1963505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1963621Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1963634Z 2025-08-14T21:34:15.1963756Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1968178Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1968261Z return mod(*inputs) 2025-08-14T21:34:15.1968525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1968607Z x = self.forward_features(x) 2025-08-14T21:34:15.1968901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1969021Z x = self.blocks(x) 2025-08-14T21:34:15.1969310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1969386Z x = self.conv_dw(x) 2025-08-14T21:34:15.1969641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1969762Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1970030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1970146Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1970158Z 2025-08-14T21:34:15.1970280Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1970520Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1970593Z return mod(*inputs) 2025-08-14T21:34:15.1970863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1970946Z x = self.forward_features(x) 2025-08-14T21:34:15.1971238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1971311Z x = self.blocks(x) 2025-08-14T21:34:15.1971589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1971665Z x = self.conv_dw(x) 2025-08-14T21:34:15.1971921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1972039Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1972313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1972430Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1972445Z 2025-08-14T21:34:15.1972613Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1972856Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1972930Z return mod(*inputs) 2025-08-14T21:34:15.1973196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1973277Z x = self.forward_features(x) 2025-08-14T21:34:15.1973571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1973644Z x = self.blocks(x) 2025-08-14T21:34:15.1973926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1974002Z x = self.conv_dw(x) 2025-08-14T21:34:15.1974259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1974383Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1974657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1974774Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1974786Z 2025-08-14T21:34:15.1974907Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1975148Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1975223Z return mod(*inputs) 2025-08-14T21:34:15.1975491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1975574Z x = self.forward_features(x) 2025-08-14T21:34:15.1975863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1975940Z x = self.blocks(x) 2025-08-14T21:34:15.1976269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1976349Z x = self.conv_dw(x) 2025-08-14T21:34:15.1976608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1976725Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1976997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1977112Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1977124Z 2025-08-14T21:34:15.1977245Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1977485Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1977559Z return mod(*inputs) 2025-08-14T21:34:15.1977826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1977910Z x = self.forward_features(x) 2025-08-14T21:34:15.1978198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1978274Z x = self.blocks(x) 2025-08-14T21:34:15.1978623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1978701Z x = self.conv_dw(x) 2025-08-14T21:34:15.1979002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.1979122Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1979392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.1979508Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.1979524Z 2025-08-14T21:34:15.1979661Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1979756Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1979844Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1979934Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1980053Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1980295Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1980373Z return mod(*inputs) 2025-08-14T21:34:15.1980636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1980716Z x = self.forward_features(x) 2025-08-14T21:34:15.1981008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1981081Z x = self.blocks(x) 2025-08-14T21:34:15.1981368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.1981445Z x = self.conv_dw(x) 2025-08-14T21:34:15.1981704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.1981784Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.1981798Z 2025-08-14T21:34:15.1981885Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.1982003Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1982246Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1982320Z return mod(*inputs) 2025-08-14T21:34:15.1982583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1982663Z x = self.forward_features(x) 2025-08-14T21:34:15.1982953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1983135Z x = self.blocks(x) 2025-08-14T21:34:15.1983419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1983489Z x = self.se(x) 2025-08-14T21:34:15.1983770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:34:15.1983858Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:34:15.1983871Z 2025-08-14T21:34:15.1983994Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1984236Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1984310Z return mod(*inputs) 2025-08-14T21:34:15.1984575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1984655Z x = self.forward_features(x) 2025-08-14T21:34:15.1984950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1985026Z x = self.blocks(x) 2025-08-14T21:34:15.1985307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1985379Z x = self.se(x) 2025-08-14T21:34:15.1985659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:34:15.1985735Z x_se = self.act1(x_se) 2025-08-14T21:34:15.1985748Z 2025-08-14T21:34:15.1985873Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1986112Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1986190Z return mod(*inputs) 2025-08-14T21:34:15.1986453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1986533Z x = self.forward_features(x) 2025-08-14T21:34:15.1986899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1987019Z x = self.blocks(x) 2025-08-14T21:34:15.1987298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1987372Z x = self.se(x) 2025-08-14T21:34:15.1987651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:34:15.1987731Z x_se = self.act1(x_se) 2025-08-14T21:34:15.1987744Z 2025-08-14T21:34:15.1987863Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1988102Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1988182Z return mod(*inputs) 2025-08-14T21:34:15.1988442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1988529Z x = self.forward_features(x) 2025-08-14T21:34:15.1988821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1988893Z x = self.blocks(x) 2025-08-14T21:34:15.1989181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1989250Z x = self.se(x) 2025-08-14T21:34:15.1989527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.1989612Z return x * self.gate(x_se) 2025-08-14T21:34:15.1989625Z 2025-08-14T21:34:15.1989742Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1989985Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1990060Z return mod(*inputs) 2025-08-14T21:34:15.1990402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1990492Z x = self.forward_features(x) 2025-08-14T21:34:15.1990782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1990855Z x = self.blocks(x) 2025-08-14T21:34:15.1991139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.1991208Z x = self.se(x) 2025-08-14T21:34:15.1991491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.1991572Z return x * self.gate(x_se) 2025-08-14T21:34:15.1991585Z 2025-08-14T21:34:15.1991702Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.1991946Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.1992020Z return mod(*inputs) 2025-08-14T21:34:15.1992285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.1992371Z x = self.forward_features(x) 2025-08-14T21:34:15.1992660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.1992734Z x = self.blocks(x) 2025-08-14T21:34:15.2001419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.2001495Z x = self.se(x) 2025-08-14T21:34:15.2001881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.2001966Z return x * self.gate(x_se) 2025-08-14T21:34:15.2001980Z 2025-08-14T21:34:15.2002076Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.2002203Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.2002446Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.2002895Z return mod(*inputs) 2025-08-14T21:34:15.2003156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.2003237Z x = self.forward_features(x) 2025-08-14T21:34:15.2003531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.2003603Z x = self.blocks(x) 2025-08-14T21:34:15.2003884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.2003966Z x = self.conv_pwl(x) 2025-08-14T21:34:15.2004223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.2004351Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.2004623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.2004748Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.2004760Z 2025-08-14T21:34:15.2004882Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.2005120Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.2005200Z return mod(*inputs) 2025-08-14T21:34:15.2005460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.2005541Z x = self.forward_features(x) 2025-08-14T21:34:15.2005834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.2005905Z x = self.blocks(x) 2025-08-14T21:34:15.2006186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.2006311Z x = self.conv_pwl(x) 2025-08-14T21:34:15.2006571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.2006695Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.2006963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.2007081Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.2007094Z 2025-08-14T21:34:15.2007188Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.2007306Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.2009670Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.2009752Z return mod(*inputs) 2025-08-14T21:34:15.2010017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.2010105Z x = self.forward_features(x) 2025-08-14T21:34:15.2010398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.2010470Z x = self.blocks(x) 2025-08-14T21:34:15.2010759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.2010835Z x = self.conv_pwl(x) 2025-08-14T21:34:15.2011092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.2011215Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.2011484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.2011610Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.2011622Z 2025-08-14T21:34:15.2011743Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.2012033Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.2012157Z return mod(*inputs) 2025-08-14T21:34:15.2012421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.2012506Z x = self.forward_features(x) 2025-08-14T21:34:15.2012797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.2012869Z x = self.blocks(x) 2025-08-14T21:34:15.2013154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.2013230Z x = self.conv_pwl(x) 2025-08-14T21:34:15.2013485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.2013608Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.2013883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.2014004Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.2014016Z 2025-08-14T21:34:15.2014107Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.2014197Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.2014321Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.2014563Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.2014637Z return mod(*inputs) 2025-08-14T21:34:15.2014904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.2014983Z x = self.forward_features(x) 2025-08-14T21:34:15.2015278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.2015396Z x = self.blocks(x) 2025-08-14T21:34:15.2015683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.2015762Z x = self.conv_pwl(x) 2025-08-14T21:34:15.2016017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.2016094Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.2016107Z 2025-08-14T21:34:15.2016231Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.2016472Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.2016549Z return mod(*inputs) 2025-08-14T21:34:15.2016813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.2016894Z x = self.forward_features(x) 2025-08-14T21:34:15.2017192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.2017268Z x = self.blocks(x) 2025-08-14T21:34:15.2017550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:34:15.2017639Z x = self.drop_path(x) + shortcut 2025-08-14T21:34:15.2017651Z 2025-08-14T21:34:15.2017768Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.2018011Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.2018084Z return mod(*inputs) 2025-08-14T21:34:15.2018345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.2018430Z x = self.forward_features(x) 2025-08-14T21:34:15.2018728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.2018806Z x = self.blocks(x) 2025-08-14T21:34:15.2019088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:34:15.2019201Z x = self.bn1(x) 2025-08-14T21:34:15.2019457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:34:15.2019528Z x = self.act(x) 2025-08-14T21:34:15.2019541Z 2025-08-14T21:34:15.2019661Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.2019905Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.2019977Z return mod(*inputs) 2025-08-14T21:34:15.2020243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.2020322Z x = self.forward_features(x) 2025-08-14T21:34:15.2020614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.2020695Z x = self.blocks(x) 2025-08-14T21:34:15.2020978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:34:15.2021048Z x = self.bn1(x) 2025-08-14T21:34:15.2021301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:34:15.2021370Z x = self.act(x) 2025-08-14T21:34:15.2021383Z 2025-08-14T21:34:15.2021504Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.2021741Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.2021816Z return mod(*inputs) 2025-08-14T21:34:15.2022157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.2022243Z x = self.forward_features(x) 2025-08-14T21:34:15.2022651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.2022737Z x = self.blocks(x) 2025-08-14T21:34:15.2023022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.2023105Z x = self.conv_dw(x) 2025-08-14T21:34:15.2023368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.2023497Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.2023778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.2023901Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.2023913Z 2025-08-14T21:34:15.2024040Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.2024284Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.2024366Z return mod(*inputs) 2025-08-14T21:34:15.2024642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.2024726Z x = self.forward_features(x) 2025-08-14T21:34:15.2025016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.2025095Z x = self.blocks(x) 2025-08-14T21:34:15.2025377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.2025459Z x = self.conv_dw(x) 2025-08-14T21:34:15.2025719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.2025842Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.2026119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.2026240Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.2026299Z 2025-08-14T21:34:15.2026419Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.2026666Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.2026742Z return mod(*inputs) 2025-08-14T21:34:15.2027080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.2027164Z x = self.forward_features(x) 2025-08-14T21:34:15.2027455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.2027540Z x = self.blocks(x) 2025-08-14T21:34:15.2027820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.2027893Z x = self.conv_dw(x) 2025-08-14T21:34:15.2028161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.2028285Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.2028566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.2028688Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.2028700Z 2025-08-14T21:34:15.2028821Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.2029070Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.2029150Z return mod(*inputs) 2025-08-14T21:34:15.2029420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.2029502Z x = self.forward_features(x) 2025-08-14T21:34:15.2029839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.2029925Z x = self.blocks(x) 2025-08-14T21:34:15.2030210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.2030287Z x = self.conv_dw(x) 2025-08-14T21:34:15.2030552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.2030673Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.2030951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.2031068Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.2031081Z 2025-08-14T21:34:15.2031202Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.2031450Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.2031530Z return mod(*inputs) 2025-08-14T21:34:15.2031795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.2031881Z x = self.forward_features(x) 2025-08-14T21:34:15.2032170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.2032252Z x = self.blocks(x) 2025-08-14T21:34:15.2032535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.2032610Z x = self.conv_dw(x) 2025-08-14T21:34:15.2032879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.2032999Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.2033273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.2033394Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.2033453Z 2025-08-14T21:34:15.2033574Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.2033822Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.2033900Z return mod(*inputs) 2025-08-14T21:34:15.2034166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.2034260Z x = self.forward_features(x) 2025-08-14T21:34:15.2034550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.2034632Z x = self.blocks(x) 2025-08-14T21:34:15.2034910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.2034984Z x = self.conv_dw(x) 2025-08-14T21:34:15.2035249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.2035370Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.2035641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.2035770Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.2035783Z 2025-08-14T21:34:15.2035903Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.2036153Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.2036231Z return mod(*inputs) 2025-08-14T21:34:15.2040753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.2040853Z x = self.forward_features(x) 2025-08-14T21:34:15.2041238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.2041332Z x = self.blocks(x) 2025-08-14T21:34:15.2041619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.2041696Z x = self.conv_dw(x) 2025-08-14T21:34:15.2041963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.2042087Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.2042357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.2042486Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.2042498Z 2025-08-14T21:34:15.2042618Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.2042871Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.2042948Z return mod(*inputs) 2025-08-14T21:34:15.2043215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.2043309Z x = self.forward_features(x) 2025-08-14T21:34:15.2043599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.2043672Z x = self.blocks(x) 2025-08-14T21:34:15.2043955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.2044029Z x = self.conv_dw(x) 2025-08-14T21:34:15.2044288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.2044405Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.2044671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.2044795Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.2044849Z 2025-08-14T21:34:15.2044946Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.2045041Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.2045128Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.2045239Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.2045391Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.2045634Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.2045707Z return mod(*inputs) 2025-08-14T21:34:15.2045973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.2046052Z x = self.forward_features(x) 2025-08-14T21:34:15.2046340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.2046419Z x = self.blocks(x) 2025-08-14T21:34:15.2046702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:34:15.2046786Z x = self.conv_dw(x) 2025-08-14T21:34:15.2047043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.2047122Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.2047135Z 2025-08-14T21:34:15.2047228Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.2047345Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.2047589Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.2047663Z return mod(*inputs) 2025-08-14T21:34:15.2047925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.2048011Z x = self.forward_features(x) 2025-08-14T21:34:15.2048343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.2048419Z x = self.blocks(x) 2025-08-14T21:34:15.2048703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.2048772Z x = self.se(x) 2025-08-14T21:34:15.2049056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:34:15.2049143Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:34:15.2049156Z 2025-08-14T21:34:15.2049274Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.2049517Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.2049592Z return mod(*inputs) 2025-08-14T21:34:15.2049854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.2049940Z x = self.forward_features(x) 2025-08-14T21:34:15.2050232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.2050313Z x = self.blocks(x) 2025-08-14T21:34:15.2050597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.2050667Z x = self.se(x) 2025-08-14T21:34:15.2050948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:34:15.2051099Z x_se = self.act1(x_se) 2025-08-14T21:34:15.2051112Z 2025-08-14T21:34:15.2051232Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.2051526Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.2051605Z return mod(*inputs) 2025-08-14T21:34:15.2051871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.2051956Z x = self.forward_features(x) 2025-08-14T21:34:15.2052300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.2052380Z x = self.blocks(x) 2025-08-14T21:34:15.2052659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.2052729Z x = self.se(x) 2025-08-14T21:34:15.2053010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:34:15.2053087Z x_se = self.act1(x_se) 2025-08-14T21:34:15.2053101Z 2025-08-14T21:34:15.2053226Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.2053768Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.2053846Z return mod(*inputs) 2025-08-14T21:34:15.2054116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.2054200Z x = self.forward_features(x) 2025-08-14T21:34:15.2054494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.2054567Z x = self.blocks(x) 2025-08-14T21:34:15.2054845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.2054917Z x = self.se(x) 2025-08-14T21:34:15.2055195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.2055278Z return x * self.gate(x_se) 2025-08-14T21:34:15.2055291Z 2025-08-14T21:34:15.2055413Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.2055652Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.2055731Z return mod(*inputs) 2025-08-14T21:34:15.2056069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.2056155Z x = self.forward_features(x) 2025-08-14T21:34:15.2056451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.2056524Z x = self.blocks(x) 2025-08-14T21:34:15.2056801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.2056876Z x = self.se(x) 2025-08-14T21:34:15.2057152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.2057234Z return x * self.gate(x_se) 2025-08-14T21:34:15.2057247Z 2025-08-14T21:34:15.2057365Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.2057608Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.2057687Z return mod(*inputs) 2025-08-14T21:34:15.2057948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.2058028Z x = self.forward_features(x) 2025-08-14T21:34:15.2058321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.2058393Z x = self.blocks(x) 2025-08-14T21:34:15.2058681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:34:15.2058749Z x = self.se(x) 2025-08-14T21:34:15.2059027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:34:15.2059111Z return x * self.gate(x_se) 2025-08-14T21:34:15.2059124Z 2025-08-14T21:34:15.2059213Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.2059333Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.2059634Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.2059707Z return mod(*inputs) 2025-08-14T21:34:15.2059973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.2060052Z x = self.forward_features(x) 2025-08-14T21:34:15.2060343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.2060421Z x = self.blocks(x) 2025-08-14T21:34:15.2060701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.2060777Z x = self.conv_pwl(x) 2025-08-14T21:34:15.2061038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.2061164Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.2061437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.2061557Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.2061570Z 2025-08-14T21:34:15.2061686Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.2061929Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.2062002Z return mod(*inputs) 2025-08-14T21:34:15.2062267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.2062347Z x = self.forward_features(x) 2025-08-14T21:34:15.2062634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.2062710Z x = self.blocks(x) 2025-08-14T21:34:15.2063031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.2063111Z x = self.conv_pwl(x) 2025-08-14T21:34:15.2063372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.2063491Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.2063759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.2063877Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.2063890Z 2025-08-14T21:34:15.2063983Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.2064105Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.2064344Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.2064417Z return mod(*inputs) 2025-08-14T21:34:15.2064685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.2064770Z x = self.forward_features(x) 2025-08-14T21:34:15.2065063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.2065135Z x = self.blocks(x) 2025-08-14T21:34:15.2065414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.2069680Z x = self.conv_pwl(x) 2025-08-14T21:34:15.2069945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.2070067Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.2070338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.2070457Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.2070470Z 2025-08-14T21:34:15.2070599Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.2070893Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.2070968Z return mod(*inputs) 2025-08-14T21:34:15.2071235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.2071318Z x = self.forward_features(x) 2025-08-14T21:34:15.2071614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.2071688Z x = self.blocks(x) 2025-08-14T21:34:15.2071967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.2072047Z x = self.conv_pwl(x) 2025-08-14T21:34:15.2072304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:34:15.2072427Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.2072705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:34:15.2072824Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:34:15.2072837Z 2025-08-14T21:34:15.2072933Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.2073023Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.2073140Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.2073386Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.2073460Z return mod(*inputs) 2025-08-14T21:34:15.2073723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.2073810Z x = self.forward_features(x) 2025-08-14T21:34:15.2074144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.2074226Z x = self.blocks(x) 2025-08-14T21:34:15.2074511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:34:15.2074589Z x = self.conv_pwl(x) 2025-08-14T21:34:15.2074849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:34:15.2074929Z x = torch.cat(x_out, 1) 2025-08-14T21:34:15.2074941Z 2025-08-14T21:34:15.2075065Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.2075306Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.2075381Z return mod(*inputs) 2025-08-14T21:34:15.2075649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.2075732Z x = self.forward_features(x) 2025-08-14T21:34:15.2076027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:34:15.2076106Z x = self.blocks(x) 2025-08-14T21:34:15.2076390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:34:15.2076478Z x = self.drop_path(x) + shortcut 2025-08-14T21:34:15.2076491Z 2025-08-14T21:34:15.2076610Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.2076850Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.2076930Z return mod(*inputs) 2025-08-14T21:34:15.2077196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.2077278Z x = self.forward_features(x) 2025-08-14T21:34:15.2077576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 258, in forward_features 2025-08-14T21:34:15.2077650Z x = self.bn2(x) 2025-08-14T21:34:15.2078017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:34:15.2078088Z x = self.act(x) 2025-08-14T21:34:15.2078101Z 2025-08-14T21:34:15.2078218Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.2078462Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.2078535Z return mod(*inputs) 2025-08-14T21:34:15.2078797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:34:15.2078884Z x = self.forward_features(x) 2025-08-14T21:34:15.2079174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 258, in forward_features 2025-08-14T21:34:15.2079249Z x = self.bn2(x) 2025-08-14T21:34:15.2079498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:34:15.2079572Z x = self.act(x) 2025-08-14T21:34:15.2079585Z 2025-08-14T21:34:15.2079679Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.2079796Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:34:15.2080109Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:34:15.2080190Z return mod(*inputs) 2025-08-14T21:34:15.2080494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-08-14T21:34:15.2080598Z x = self.forward_head(x) 2025-08-14T21:34:15.2080877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 262, in forward_head 2025-08-14T21:34:15.2080956Z x = self.global_pool(x) 2025-08-14T21:34:15.2081252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward 2025-08-14T21:34:15.2081368Z x = self.pool(x) 2025-08-14T21:34:15.2081384Z 2025-08-14T21:34:15.2081474Z cudagraph partition due to non gpu ops 2025-08-14T21:34:15.2081567Z cudagraph partition due to non gpu ops 2025-08-14T21:34:33.7606276Z Compilation time (from dynamo_timed): 42.932418273 2025-08-14T21:34:33.7606665Z pass 2025-08-14T21:34:33.7616369Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:34:33.7617507Z TIMING: _recursive_pre_grad_passes:0.08429 _recursive_joint_graph_passes:0.53958 _recursive_post_grad_passes:0.12511 async_compile.wait:0.95276 code_gen:16.24638 inductor_compile:21.19313 backend_compile:34.26804 gc:0.00031 entire_frame_compile:42.93242 total_wall_time:42.93242 2025-08-14T21:34:33.7618668Z STATS: call_* op count: 521 | FakeTensorMode.__torch_dispatch__:38696 | FakeTensor.__torch_dispatch__:6303 | ProxyTorchDispatchMode.__torch_dispatch__:7397 2025-08-14T21:34:33.7619301Z Dynamo produced 1 graphs covering 521 ops with 0 graph breaks (0 unique) 2025-08-14T21:34:39.6245520Z 2025-08-14T21:34:39.7531000Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:34:39.7531269Z 2025-08-14T21:34:39.8098855Z model.safetensors: 0% 0.00/17.7M [00:00 2025-08-14T21:53:02.3745308Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3745505Z 2025-08-14T21:53:02.3745633Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.3746065Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.3746465Z return mod(*inputs) 2025-08-14T21:53:02.3746946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.3747368Z x = self.forward_features(x) 2025-08-14T21:53:02.3747797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.3748240Z x = self.blocks(x) 2025-08-14T21:53:02.3748647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.3749082Z x = self.conv_pw(x) 2025-08-14T21:53:02.3749459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.3749921Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3750423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.3750912Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3751147Z 2025-08-14T21:53:02.3751275Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.3751707Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.3752108Z return mod(*inputs) 2025-08-14T21:53:02.3752486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.3752909Z x = self.forward_features(x) 2025-08-14T21:53:02.3753708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.3754152Z x = self.blocks(x) 2025-08-14T21:53:02.3754561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.3755000Z x = self.conv_pw(x) 2025-08-14T21:53:02.3755384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.3755850Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3756329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.3756848Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3757048Z 2025-08-14T21:53:02.3761324Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.3761757Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.3762154Z return mod(*inputs) 2025-08-14T21:53:02.3762538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.3762954Z x = self.forward_features(x) 2025-08-14T21:53:02.3763464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.3763910Z x = self.blocks(x) 2025-08-14T21:53:02.3764313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.3764742Z x = self.conv_pw(x) 2025-08-14T21:53:02.3765173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.3765638Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3766102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.3766570Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3766776Z 2025-08-14T21:53:02.3766879Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.3767140Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.3767418Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.3767853Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.3768250Z return mod(*inputs) 2025-08-14T21:53:02.3768629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.3769051Z x = self.forward_features(x) 2025-08-14T21:53:02.3769483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.3769933Z x = self.blocks(x) 2025-08-14T21:53:02.3770328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.3770766Z x = self.conv_pw(x) 2025-08-14T21:53:02.3771145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.3771738Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.3771885Z 2025-08-14T21:53:02.3772010Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.3772524Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.3772919Z return mod(*inputs) 2025-08-14T21:53:02.3773300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.3773727Z x = self.forward_features(x) 2025-08-14T21:53:02.3774169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.3774604Z x = self.blocks(x) 2025-08-14T21:53:02.3775006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.3775441Z x = self.conv_dw(x) 2025-08-14T21:53:02.3775821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.3776282Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3776757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.3777223Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3777674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.3778079Z return conv2d_same( 2025-08-14T21:53:02.3778469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:53:02.3778932Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:53:02.3779366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:53:02.3779869Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:53:02.3780399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:53:02.3780834Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:53:02.3781022Z 2025-08-14T21:53:02.3781414Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.3781857Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.3782255Z return mod(*inputs) 2025-08-14T21:53:02.3782639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.3783065Z x = self.forward_features(x) 2025-08-14T21:53:02.3783507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.3783954Z x = self.blocks(x) 2025-08-14T21:53:02.3784354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.3784795Z x = self.conv_dw(x) 2025-08-14T21:53:02.3785174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.3785629Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3790414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.3790896Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3791353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.3791760Z return conv2d_same( 2025-08-14T21:53:02.3792155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:53:02.3792664Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:53:02.3792892Z 2025-08-14T21:53:02.3793071Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.3793536Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.3793962Z return mod(*inputs) 2025-08-14T21:53:02.3794349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.3794776Z x = self.forward_features(x) 2025-08-14T21:53:02.3795211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.3795658Z x = self.blocks(x) 2025-08-14T21:53:02.3796064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.3796489Z x = self.conv_dw(x) 2025-08-14T21:53:02.3796873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.3797336Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3797803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.3798276Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3798726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.3799137Z return conv2d_same( 2025-08-14T21:53:02.3799518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:53:02.3800016Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:53:02.3800263Z 2025-08-14T21:53:02.3800420Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.3800927Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.3801316Z return mod(*inputs) 2025-08-14T21:53:02.3801735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.3802171Z x = self.forward_features(x) 2025-08-14T21:53:02.3802596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.3803048Z x = self.blocks(x) 2025-08-14T21:53:02.3803452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.3803880Z x = self.conv_dw(x) 2025-08-14T21:53:02.3804250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.3804704Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3805175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.3805635Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3806086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.3806492Z return conv2d_same( 2025-08-14T21:53:02.3806930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:53:02.3807387Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:53:02.3807829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:53:02.3808328Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:53:02.3808808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:53:02.3809234Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:53:02.3809432Z 2025-08-14T21:53:02.3809583Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.3810025Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.3810460Z return mod(*inputs) 2025-08-14T21:53:02.3810849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.3811276Z x = self.forward_features(x) 2025-08-14T21:53:02.3811716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.3812158Z x = self.blocks(x) 2025-08-14T21:53:02.3812561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.3813002Z x = self.conv_dw(x) 2025-08-14T21:53:02.3813371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.3813836Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3814312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.3814840Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3823754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.3824298Z return conv2d_same( 2025-08-14T21:53:02.3824799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:53:02.3825455Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:53:02.3825762Z 2025-08-14T21:53:02.3825909Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.3826507Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.3827012Z return mod(*inputs) 2025-08-14T21:53:02.3827392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.3827854Z x = self.forward_features(x) 2025-08-14T21:53:02.3828295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.3828740Z x = self.blocks(x) 2025-08-14T21:53:02.3829137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.3831753Z x = self.conv_dw(x) 2025-08-14T21:53:02.3832135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.3832584Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3833044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.3833551Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3834006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.3834417Z return conv2d_same( 2025-08-14T21:53:02.3834813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:53:02.3835317Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:53:02.3835544Z 2025-08-14T21:53:02.3835669Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.3836112Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.3836508Z return mod(*inputs) 2025-08-14T21:53:02.3836893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.3837310Z x = self.forward_features(x) 2025-08-14T21:53:02.3837781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.3838231Z x = self.blocks(x) 2025-08-14T21:53:02.3838661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.3839123Z x = self.conv_dw(x) 2025-08-14T21:53:02.3839505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.3839962Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3840431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.3840897Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3841357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.3841760Z return conv2d_same( 2025-08-14T21:53:02.3842143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:53:02.3842610Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:53:02.3843056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:53:02.3843540Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:53:02.3844068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:53:02.3844572Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:53:02.3844759Z 2025-08-14T21:53:02.3844892Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.3845325Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.3845718Z return mod(*inputs) 2025-08-14T21:53:02.3846109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.3846534Z x = self.forward_features(x) 2025-08-14T21:53:02.3846992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.3847443Z x = self.blocks(x) 2025-08-14T21:53:02.3847843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.3848268Z x = self.conv_dw(x) 2025-08-14T21:53:02.3848648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.3849104Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3849574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.3850032Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3850481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.3850887Z return conv2d_same( 2025-08-14T21:53:02.3851269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:53:02.3851761Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:53:02.3851994Z 2025-08-14T21:53:02.3852119Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.3852557Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.3852950Z return mod(*inputs) 2025-08-14T21:53:02.3853680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.3854139Z x = self.forward_features(x) 2025-08-14T21:53:02.3854573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.3855080Z x = self.blocks(x) 2025-08-14T21:53:02.3855492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.3856011Z x = self.conv_dw(x) 2025-08-14T21:53:02.3856383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.3856838Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3857303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.3857760Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3858223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.3862860Z return conv2d_same( 2025-08-14T21:53:02.3863257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:53:02.3863749Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:53:02.3863987Z 2025-08-14T21:53:02.3864087Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.3864344Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.3864593Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.3864861Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.3865315Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.3865713Z return mod(*inputs) 2025-08-14T21:53:02.3866097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.3866528Z x = self.forward_features(x) 2025-08-14T21:53:02.3867038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.3867493Z x = self.blocks(x) 2025-08-14T21:53:02.3867948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.3868391Z x = self.conv_dw(x) 2025-08-14T21:53:02.3868776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.3869182Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.3869321Z 2025-08-14T21:53:02.3869446Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.3869886Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.3870279Z return mod(*inputs) 2025-08-14T21:53:02.3870655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.3871074Z x = self.forward_features(x) 2025-08-14T21:53:02.3871514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.3871956Z x = self.blocks(x) 2025-08-14T21:53:02.3872361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:53:02.3872848Z x = self.bn2(x) 2025-08-14T21:53:02.3873280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:53:02.3873666Z x = self.act(x) 2025-08-14T21:53:02.3873781Z 2025-08-14T21:53:02.3873876Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.3874156Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.3874589Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.3874986Z return mod(*inputs) 2025-08-14T21:53:02.3875372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.3875790Z x = self.forward_features(x) 2025-08-14T21:53:02.3876251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.3876737Z x = self.blocks(x) 2025-08-14T21:53:02.3877137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.3877568Z x = self.conv_pwl(x) 2025-08-14T21:53:02.3877952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.3878412Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3878888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.3879356Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3879561Z 2025-08-14T21:53:02.3879685Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.3880126Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.3880515Z return mod(*inputs) 2025-08-14T21:53:02.3880908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.3881340Z x = self.forward_features(x) 2025-08-14T21:53:02.3881779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.3882217Z x = self.blocks(x) 2025-08-14T21:53:02.3882631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.3883069Z x = self.conv_pwl(x) 2025-08-14T21:53:02.3883449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.3883913Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3884385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.3884884Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3885086Z 2025-08-14T21:53:02.3885187Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.3885470Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.3885909Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.3886303Z return mod(*inputs) 2025-08-14T21:53:02.3886682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.3887109Z x = self.forward_features(x) 2025-08-14T21:53:02.3891795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.3892282Z x = self.blocks(x) 2025-08-14T21:53:02.3892693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.3893131Z x = self.conv_pwl(x) 2025-08-14T21:53:02.3893522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.3893973Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3894450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.3894919Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3895115Z 2025-08-14T21:53:02.3895246Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.3895681Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.3896075Z return mod(*inputs) 2025-08-14T21:53:02.3896465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.3896913Z x = self.forward_features(x) 2025-08-14T21:53:02.3897352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.3897845Z x = self.blocks(x) 2025-08-14T21:53:02.3898239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.3898676Z x = self.conv_pwl(x) 2025-08-14T21:53:02.3899063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.3899521Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3899984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.3900456Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3900650Z 2025-08-14T21:53:02.3900752Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.3900999Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.3901282Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.3901735Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.3902244Z return mod(*inputs) 2025-08-14T21:53:02.3902625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.3903052Z x = self.forward_features(x) 2025-08-14T21:53:02.3903497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.3903932Z x = self.blocks(x) 2025-08-14T21:53:02.3904340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.3904780Z x = self.conv_pwl(x) 2025-08-14T21:53:02.3905167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.3905575Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.3905718Z 2025-08-14T21:53:02.3905872Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.3906317Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.3906704Z return mod(*inputs) 2025-08-14T21:53:02.3907162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.3907585Z x = self.forward_features(x) 2025-08-14T21:53:02.3908023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.3908458Z x = self.blocks(x) 2025-08-14T21:53:02.3908863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-08-14T21:53:02.3909305Z x = self.bn3(x) 2025-08-14T21:53:02.3909664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:53:02.3910063Z x = F.batch_norm( 2025-08-14T21:53:02.3910197Z 2025-08-14T21:53:02.3910323Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.3910766Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.3911162Z return mod(*inputs) 2025-08-14T21:53:02.3911549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.3911977Z x = self.forward_features(x) 2025-08-14T21:53:02.3912414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.3912848Z x = self.blocks(x) 2025-08-14T21:53:02.3913251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.3913680Z x = self.conv_pw(x) 2025-08-14T21:53:02.3914080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.3914586Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3915058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.3915526Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3915724Z 2025-08-14T21:53:02.3915852Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.3916337Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.3920965Z return mod(*inputs) 2025-08-14T21:53:02.3921348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.3921769Z x = self.forward_features(x) 2025-08-14T21:53:02.3922210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.3922652Z x = self.blocks(x) 2025-08-14T21:53:02.3923054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.3923494Z x = self.conv_pw(x) 2025-08-14T21:53:02.3923873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.3924321Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3924963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.3925525Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3925724Z 2025-08-14T21:53:02.3925858Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.3926295Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.3926689Z return mod(*inputs) 2025-08-14T21:53:02.3927115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.3927548Z x = self.forward_features(x) 2025-08-14T21:53:02.3927978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.3928423Z x = self.blocks(x) 2025-08-14T21:53:02.3928824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.3929253Z x = self.conv_pw(x) 2025-08-14T21:53:02.3929637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.3930097Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3930569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.3931076Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3931363Z 2025-08-14T21:53:02.3931488Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.3931924Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.3932307Z return mod(*inputs) 2025-08-14T21:53:02.3932689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.3933161Z x = self.forward_features(x) 2025-08-14T21:53:02.3933600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.3934032Z x = self.blocks(x) 2025-08-14T21:53:02.3934439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.3934868Z x = self.conv_pw(x) 2025-08-14T21:53:02.3935278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.3955335Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3956209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.3956717Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3956941Z 2025-08-14T21:53:02.3957048Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.3957313Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.3957603Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.3958062Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.3958484Z return mod(*inputs) 2025-08-14T21:53:02.3958899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.3959340Z x = self.forward_features(x) 2025-08-14T21:53:02.3959835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.3960439Z x = self.blocks(x) 2025-08-14T21:53:02.3960867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.3961304Z x = self.conv_pw(x) 2025-08-14T21:53:02.3961699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.3962130Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.3962269Z 2025-08-14T21:53:02.3962398Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.3962848Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.3963254Z return mod(*inputs) 2025-08-14T21:53:02.3963648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.3964126Z x = self.forward_features(x) 2025-08-14T21:53:02.3964635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.3965086Z x = self.blocks(x) 2025-08-14T21:53:02.3965484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:53:02.3965923Z x = self.bn1(x) 2025-08-14T21:53:02.3966281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:53:02.3966670Z x = self.act(x) 2025-08-14T21:53:02.3966786Z 2025-08-14T21:53:02.3966911Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.3967359Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.3967760Z return mod(*inputs) 2025-08-14T21:53:02.3968144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.3968573Z x = self.forward_features(x) 2025-08-14T21:53:02.3969015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.3969453Z x = self.blocks(x) 2025-08-14T21:53:02.3969859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:53:02.3970291Z x = self.bn2(x) 2025-08-14T21:53:02.3970652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:53:02.3971039Z x = self.act(x) 2025-08-14T21:53:02.3971157Z 2025-08-14T21:53:02.3971282Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.3971722Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.3972161Z return mod(*inputs) 2025-08-14T21:53:02.3972550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.3974395Z x = self.forward_features(x) 2025-08-14T21:53:02.3983111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.3983704Z x = self.blocks(x) 2025-08-14T21:53:02.3984185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:53:02.3984622Z x = self.bn2(x) 2025-08-14T21:53:02.3984973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:53:02.3985373Z x = self.act(x) 2025-08-14T21:53:02.3985494Z 2025-08-14T21:53:02.3985622Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.3986069Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.3986472Z return mod(*inputs) 2025-08-14T21:53:02.3986920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.3987355Z x = self.forward_features(x) 2025-08-14T21:53:02.3987781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.3988227Z x = self.blocks(x) 2025-08-14T21:53:02.3988627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.3991334Z x = self.conv_pwl(x) 2025-08-14T21:53:02.3991717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.3992178Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3992661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.3993183Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3993424Z 2025-08-14T21:53:02.3993552Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.3993990Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.3994384Z return mod(*inputs) 2025-08-14T21:53:02.3994761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.3995179Z x = self.forward_features(x) 2025-08-14T21:53:02.3995614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.3996059Z x = self.blocks(x) 2025-08-14T21:53:02.3996453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.3996896Z x = self.conv_pwl(x) 2025-08-14T21:53:02.3997282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.3997746Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3998219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.3998683Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.3998880Z 2025-08-14T21:53:02.3999013Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.3999444Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.3999843Z return mod(*inputs) 2025-08-14T21:53:02.4000234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4000650Z x = self.forward_features(x) 2025-08-14T21:53:02.4001148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4001592Z x = self.blocks(x) 2025-08-14T21:53:02.4002019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4002477Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4002869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4003381Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4003927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4004396Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4004600Z 2025-08-14T21:53:02.4004724Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4005163Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4005555Z return mod(*inputs) 2025-08-14T21:53:02.4005944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4006369Z x = self.forward_features(x) 2025-08-14T21:53:02.4006813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4007250Z x = self.blocks(x) 2025-08-14T21:53:02.4007658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4008106Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4008490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4008946Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4009416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4009881Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4010078Z 2025-08-14T21:53:02.4010206Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4010458Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4010735Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4011162Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4011556Z return mod(*inputs) 2025-08-14T21:53:02.4011946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4012366Z x = self.forward_features(x) 2025-08-14T21:53:02.4012790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4013229Z x = self.blocks(x) 2025-08-14T21:53:02.4013626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4014055Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4014440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.4014856Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.4014992Z 2025-08-14T21:53:02.4015122Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4015549Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4015942Z return mod(*inputs) 2025-08-14T21:53:02.4016321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4016742Z x = self.forward_features(x) 2025-08-14T21:53:02.4017172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4017613Z x = self.blocks(x) 2025-08-14T21:53:02.4018093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:53:02.4022808Z x = self.drop_path(x) + shortcut 2025-08-14T21:53:02.4023000Z 2025-08-14T21:53:02.4023125Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4023566Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4023960Z return mod(*inputs) 2025-08-14T21:53:02.4024354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4024780Z x = self.forward_features(x) 2025-08-14T21:53:02.4025219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4025655Z x = self.blocks(x) 2025-08-14T21:53:02.4026059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:53:02.4026491Z x = self.bn1(x) 2025-08-14T21:53:02.4026911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:53:02.4027319Z x = self.act(x) 2025-08-14T21:53:02.4027436Z 2025-08-14T21:53:02.4027564Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4028002Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4028395Z return mod(*inputs) 2025-08-14T21:53:02.4028777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4029210Z x = self.forward_features(x) 2025-08-14T21:53:02.4029636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4030083Z x = self.blocks(x) 2025-08-14T21:53:02.4030486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:53:02.4030907Z x = self.bn1(x) 2025-08-14T21:53:02.4031278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:53:02.4031674Z x = self.act(x) 2025-08-14T21:53:02.4031782Z 2025-08-14T21:53:02.4031913Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4032394Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4032859Z return mod(*inputs) 2025-08-14T21:53:02.4033240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4033656Z x = self.forward_features(x) 2025-08-14T21:53:02.4034083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4034522Z x = self.blocks(x) 2025-08-14T21:53:02.4034917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4035344Z x = self.conv_dw(x) 2025-08-14T21:53:02.4035722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4036178Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4036649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4037110Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4037567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.4037974Z return conv2d_same( 2025-08-14T21:53:02.4038355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:53:02.4038815Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:53:02.4039294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:53:02.4039840Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:53:02.4040318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:53:02.4040748Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:53:02.4040942Z 2025-08-14T21:53:02.4041064Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4041493Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4041886Z return mod(*inputs) 2025-08-14T21:53:02.4042269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4042694Z x = self.forward_features(x) 2025-08-14T21:53:02.4043127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4043569Z x = self.blocks(x) 2025-08-14T21:53:02.4043981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4044411Z x = self.conv_dw(x) 2025-08-14T21:53:02.4044784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4045245Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4045712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4046168Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4046617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.4047078Z return conv2d_same( 2025-08-14T21:53:02.4051698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:53:02.4052216Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:53:02.4052448Z 2025-08-14T21:53:02.4052576Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4053009Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4053772Z return mod(*inputs) 2025-08-14T21:53:02.4054157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4054580Z x = self.forward_features(x) 2025-08-14T21:53:02.4055023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4055468Z x = self.blocks(x) 2025-08-14T21:53:02.4055879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4056315Z x = self.conv_dw(x) 2025-08-14T21:53:02.4056696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4057153Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4057617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4058076Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4058520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.4058926Z return conv2d_same( 2025-08-14T21:53:02.4059310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:53:02.4059808Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:53:02.4060033Z 2025-08-14T21:53:02.4060222Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4060661Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4061118Z return mod(*inputs) 2025-08-14T21:53:02.4061550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4062047Z x = self.forward_features(x) 2025-08-14T21:53:02.4062484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4062929Z x = self.blocks(x) 2025-08-14T21:53:02.4063319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4063748Z x = self.conv_dw(x) 2025-08-14T21:53:02.4064118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4064564Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4065026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4065496Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4065954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.4066350Z return conv2d_same( 2025-08-14T21:53:02.4066734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:53:02.4067291Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:53:02.4067729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:53:02.4068212Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:53:02.4068695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:53:02.4069197Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:53:02.4069390Z 2025-08-14T21:53:02.4069515Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4069952Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4070346Z return mod(*inputs) 2025-08-14T21:53:02.4070729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4071143Z x = self.forward_features(x) 2025-08-14T21:53:02.4071580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4072026Z x = self.blocks(x) 2025-08-14T21:53:02.4072418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4072856Z x = self.conv_dw(x) 2025-08-14T21:53:02.4073229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4073688Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4074149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4074615Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4075072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.4075480Z return conv2d_same( 2025-08-14T21:53:02.4075915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:53:02.4080591Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:53:02.4080817Z 2025-08-14T21:53:02.4080975Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4081415Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4081862Z return mod(*inputs) 2025-08-14T21:53:02.4082249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4082674Z x = self.forward_features(x) 2025-08-14T21:53:02.4083098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4083537Z x = self.blocks(x) 2025-08-14T21:53:02.4083930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4084406Z x = self.conv_dw(x) 2025-08-14T21:53:02.4084772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4085221Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4085683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4086139Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4086591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.4086996Z return conv2d_same( 2025-08-14T21:53:02.4087371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:53:02.4087868Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:53:02.4088100Z 2025-08-14T21:53:02.4088224Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4088655Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4089041Z return mod(*inputs) 2025-08-14T21:53:02.4089421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4089863Z x = self.forward_features(x) 2025-08-14T21:53:02.4090331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4090835Z x = self.blocks(x) 2025-08-14T21:53:02.4091236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4091673Z x = self.conv_dw(x) 2025-08-14T21:53:02.4092041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4092534Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4093003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4093471Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4093920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.4094327Z return conv2d_same( 2025-08-14T21:53:02.4094709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:53:02.4095158Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:53:02.4095593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:53:02.4096083Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:53:02.4096555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:53:02.4096975Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:53:02.4097166Z 2025-08-14T21:53:02.4097291Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4097746Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4098132Z return mod(*inputs) 2025-08-14T21:53:02.4098562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4098985Z x = self.forward_features(x) 2025-08-14T21:53:02.4099418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4099852Z x = self.blocks(x) 2025-08-14T21:53:02.4100253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4100684Z x = self.conv_dw(x) 2025-08-14T21:53:02.4101049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4101498Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4101969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4102432Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4102881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.4103286Z return conv2d_same( 2025-08-14T21:53:02.4103668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:53:02.4104159Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:53:02.4104380Z 2025-08-14T21:53:02.4104505Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4104996Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4113895Z return mod(*inputs) 2025-08-14T21:53:02.4114384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4114935Z x = self.forward_features(x) 2025-08-14T21:53:02.4115547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4116059Z x = self.blocks(x) 2025-08-14T21:53:02.4116456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4116896Z x = self.conv_dw(x) 2025-08-14T21:53:02.4117270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4117716Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4118180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4118641Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4119091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.4119545Z return conv2d_same( 2025-08-14T21:53:02.4122075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:53:02.4122573Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:53:02.4122798Z 2025-08-14T21:53:02.4122930Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4123365Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4123814Z return mod(*inputs) 2025-08-14T21:53:02.4124201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4124626Z x = self.forward_features(x) 2025-08-14T21:53:02.4125057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4125536Z x = self.blocks(x) 2025-08-14T21:53:02.4125940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4126415Z x = self.conv_dw(x) 2025-08-14T21:53:02.4126796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4127256Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4127721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4128188Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4128641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.4129047Z return conv2d_same( 2025-08-14T21:53:02.4129424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:53:02.4129888Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:53:02.4130341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:53:02.4130833Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:53:02.4131311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:53:02.4131736Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:53:02.4131922Z 2025-08-14T21:53:02.4132053Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4132485Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4132876Z return mod(*inputs) 2025-08-14T21:53:02.4133261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4133681Z x = self.forward_features(x) 2025-08-14T21:53:02.4134263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4134712Z x = self.blocks(x) 2025-08-14T21:53:02.4135113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4135534Z x = self.conv_dw(x) 2025-08-14T21:53:02.4135907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4136362Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4136824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4137276Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4137730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.4138143Z return conv2d_same( 2025-08-14T21:53:02.4138524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:53:02.4139023Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:53:02.4139252Z 2025-08-14T21:53:02.4139379Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4139813Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4140198Z return mod(*inputs) 2025-08-14T21:53:02.4140584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4141004Z x = self.forward_features(x) 2025-08-14T21:53:02.4141434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4141872Z x = self.blocks(x) 2025-08-14T21:53:02.4142304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4142754Z x = self.conv_dw(x) 2025-08-14T21:53:02.4143147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4143598Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4144063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4144518Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4144965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.4145368Z return conv2d_same( 2025-08-14T21:53:02.4145747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:53:02.4146238Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:53:02.4146475Z 2025-08-14T21:53:02.4146580Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4146902Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4147143Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4147385Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4147659Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4148100Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4148539Z return mod(*inputs) 2025-08-14T21:53:02.4153166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4153927Z x = self.forward_features(x) 2025-08-14T21:53:02.4154366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4154812Z x = self.blocks(x) 2025-08-14T21:53:02.4155290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4155726Z x = self.conv_dw(x) 2025-08-14T21:53:02.4156095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.4156601Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.4156736Z 2025-08-14T21:53:02.4156862Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4157291Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4157685Z return mod(*inputs) 2025-08-14T21:53:02.4158067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4158490Z x = self.forward_features(x) 2025-08-14T21:53:02.4158919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4159367Z x = self.blocks(x) 2025-08-14T21:53:02.4159771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:53:02.4160200Z x = self.bn2(x) 2025-08-14T21:53:02.4160553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:53:02.4160945Z x = F.batch_norm( 2025-08-14T21:53:02.4161062Z 2025-08-14T21:53:02.4161190Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4161623Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4162013Z return mod(*inputs) 2025-08-14T21:53:02.4162391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4162858Z x = self.forward_features(x) 2025-08-14T21:53:02.4163424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4163866Z x = self.blocks(x) 2025-08-14T21:53:02.4164296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:53:02.4164752Z x = self.bn2(x) 2025-08-14T21:53:02.4165104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:53:02.4165490Z x = self.act(x) 2025-08-14T21:53:02.4165599Z 2025-08-14T21:53:02.4165720Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4166155Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4166546Z return mod(*inputs) 2025-08-14T21:53:02.4166929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4167341Z x = self.forward_features(x) 2025-08-14T21:53:02.4167777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4168222Z x = self.blocks(x) 2025-08-14T21:53:02.4168617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4169043Z x = self.se(x) 2025-08-14T21:53:02.4169433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:53:02.4169860Z x_se = self.act1(x_se) 2025-08-14T21:53:02.4169992Z 2025-08-14T21:53:02.4170114Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4170545Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4170938Z return mod(*inputs) 2025-08-14T21:53:02.4171318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4171740Z x = self.forward_features(x) 2025-08-14T21:53:02.4172195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4172638Z x = self.blocks(x) 2025-08-14T21:53:02.4173024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4173446Z x = self.se(x) 2025-08-14T21:53:02.4173838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:53:02.4174266Z x_se = self.act1(x_se) 2025-08-14T21:53:02.4174405Z 2025-08-14T21:53:02.4174524Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4174957Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4175349Z return mod(*inputs) 2025-08-14T21:53:02.4175725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4176144Z x = self.forward_features(x) 2025-08-14T21:53:02.4176581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4177021Z x = self.blocks(x) 2025-08-14T21:53:02.4177468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4182072Z x = self.se(x) 2025-08-14T21:53:02.4182456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.4182883Z return x * self.gate(x_se) 2025-08-14T21:53:02.4183033Z 2025-08-14T21:53:02.4183155Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4183593Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4183992Z return mod(*inputs) 2025-08-14T21:53:02.4184398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4184824Z x = self.forward_features(x) 2025-08-14T21:53:02.4185312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4185744Z x = self.blocks(x) 2025-08-14T21:53:02.4186139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4186563Z x = self.se(x) 2025-08-14T21:53:02.4187033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.4187460Z return x * self.gate(x_se) 2025-08-14T21:53:02.4187606Z 2025-08-14T21:53:02.4187726Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4188152Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4188542Z return mod(*inputs) 2025-08-14T21:53:02.4188926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4189345Z x = self.forward_features(x) 2025-08-14T21:53:02.4189770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4190199Z x = self.blocks(x) 2025-08-14T21:53:02.4190591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4191013Z x = self.se(x) 2025-08-14T21:53:02.4191389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.4191874Z return x * self.gate(x_se) 2025-08-14T21:53:02.4192013Z 2025-08-14T21:53:02.4192212Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4192647Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4193035Z return mod(*inputs) 2025-08-14T21:53:02.4193445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4193868Z x = self.forward_features(x) 2025-08-14T21:53:02.4194296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4194731Z x = self.blocks(x) 2025-08-14T21:53:02.4195121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4195551Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4195682Z 2025-08-14T21:53:02.4195802Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4196234Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4196622Z return mod(*inputs) 2025-08-14T21:53:02.4197001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4197428Z x = self.forward_features(x) 2025-08-14T21:53:02.4197865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4198305Z x = self.blocks(x) 2025-08-14T21:53:02.4198699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4199135Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4199261Z 2025-08-14T21:53:02.4199389Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4199819Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4200209Z return mod(*inputs) 2025-08-14T21:53:02.4200591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4201034Z x = self.forward_features(x) 2025-08-14T21:53:02.4201462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4201945Z x = self.blocks(x) 2025-08-14T21:53:02.4202341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4202765Z x = self.conv_pw(x) 2025-08-14T21:53:02.4203146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4203606Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4204082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4204550Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4204755Z 2025-08-14T21:53:02.4204876Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4205309Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4205700Z return mod(*inputs) 2025-08-14T21:53:02.4206076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4206553Z x = self.forward_features(x) 2025-08-14T21:53:02.4211225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4211660Z x = self.blocks(x) 2025-08-14T21:53:02.4212061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4212496Z x = self.conv_pw(x) 2025-08-14T21:53:02.4212873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4213323Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4213788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4214280Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4214477Z 2025-08-14T21:53:02.4214598Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4215032Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4215427Z return mod(*inputs) 2025-08-14T21:53:02.4215807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4216227Z x = self.forward_features(x) 2025-08-14T21:53:02.4216656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4217094Z x = self.blocks(x) 2025-08-14T21:53:02.4217486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4217920Z x = self.conv_pw(x) 2025-08-14T21:53:02.4218297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4218755Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4219212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4219675Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4219871Z 2025-08-14T21:53:02.4220000Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4220442Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4220877Z return mod(*inputs) 2025-08-14T21:53:02.4221331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4221784Z x = self.forward_features(x) 2025-08-14T21:53:02.4222218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4222706Z x = self.blocks(x) 2025-08-14T21:53:02.4223116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4223555Z x = self.conv_pw(x) 2025-08-14T21:53:02.4223925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4224375Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4224838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4225297Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4225498Z 2025-08-14T21:53:02.4225595Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4225855Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4226136Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4226566Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4227035Z return mod(*inputs) 2025-08-14T21:53:02.4227423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4227838Z x = self.forward_features(x) 2025-08-14T21:53:02.4228279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4228722Z x = self.blocks(x) 2025-08-14T21:53:02.4229125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4229550Z x = self.conv_pw(x) 2025-08-14T21:53:02.4229923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.4230339Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.4230479Z 2025-08-14T21:53:02.4230627Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4231063Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4231457Z return mod(*inputs) 2025-08-14T21:53:02.4231838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4232258Z x = self.forward_features(x) 2025-08-14T21:53:02.4232697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4233142Z x = self.blocks(x) 2025-08-14T21:53:02.4233536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:53:02.4233965Z x = self.bn1(x) 2025-08-14T21:53:02.4234326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:53:02.4234723Z x = F.batch_norm( 2025-08-14T21:53:02.4234844Z 2025-08-14T21:53:02.4234971Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4235463Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4240096Z return mod(*inputs) 2025-08-14T21:53:02.4240470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4240891Z x = self.forward_features(x) 2025-08-14T21:53:02.4241316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4241759Z x = self.blocks(x) 2025-08-14T21:53:02.4242152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:53:02.4242573Z x = self.bn1(x) 2025-08-14T21:53:02.4242969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:53:02.4243382Z x = self.act(x) 2025-08-14T21:53:02.4243521Z 2025-08-14T21:53:02.4243676Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4243957Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4244386Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4244779Z return mod(*inputs) 2025-08-14T21:53:02.4245162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4245587Z x = self.forward_features(x) 2025-08-14T21:53:02.4246012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4246451Z x = self.blocks(x) 2025-08-14T21:53:02.4246853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4247280Z x = self.conv_dw(x) 2025-08-14T21:53:02.4247652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4248115Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4248583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4249042Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4249243Z 2025-08-14T21:53:02.4249364Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4249834Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4250298Z return mod(*inputs) 2025-08-14T21:53:02.4250672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4251091Z x = self.forward_features(x) 2025-08-14T21:53:02.4251550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4252036Z x = self.blocks(x) 2025-08-14T21:53:02.4252437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4252867Z x = self.conv_dw(x) 2025-08-14T21:53:02.4253237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4254040Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4254324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4254447Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4254460Z 2025-08-14T21:53:02.4254563Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4254689Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4254939Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4255029Z return mod(*inputs) 2025-08-14T21:53:02.4255296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4255381Z x = self.forward_features(x) 2025-08-14T21:53:02.4255687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4255764Z x = self.blocks(x) 2025-08-14T21:53:02.4256057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4256130Z x = self.conv_dw(x) 2025-08-14T21:53:02.4256387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4256567Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4256842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4257033Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4257046Z 2025-08-14T21:53:02.4257173Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4257416Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4257501Z return mod(*inputs) 2025-08-14T21:53:02.4257763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4257852Z x = self.forward_features(x) 2025-08-14T21:53:02.4258153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4258232Z x = self.blocks(x) 2025-08-14T21:53:02.4258517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4258604Z x = self.conv_dw(x) 2025-08-14T21:53:02.4258872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4259008Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4259278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4259397Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4259409Z 2025-08-14T21:53:02.4259516Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4259612Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4259737Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4259990Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4260068Z return mod(*inputs) 2025-08-14T21:53:02.4260366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4260454Z x = self.forward_features(x) 2025-08-14T21:53:02.4260753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4260835Z x = self.blocks(x) 2025-08-14T21:53:02.4261117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4261197Z x = self.conv_dw(x) 2025-08-14T21:53:02.4261456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.4261538Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.4261550Z 2025-08-14T21:53:02.4261653Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4261773Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4262016Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4262105Z return mod(*inputs) 2025-08-14T21:53:02.4262372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4262464Z x = self.forward_features(x) 2025-08-14T21:53:02.4262757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4262829Z x = self.blocks(x) 2025-08-14T21:53:02.4263120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4263192Z x = self.se(x) 2025-08-14T21:53:02.4263478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:53:02.4263571Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:53:02.4263584Z 2025-08-14T21:53:02.4263728Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4263983Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4264101Z return mod(*inputs) 2025-08-14T21:53:02.4264425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4264514Z x = self.forward_features(x) 2025-08-14T21:53:02.4273174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4273252Z x = self.blocks(x) 2025-08-14T21:53:02.4273647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4273723Z x = self.se(x) 2025-08-14T21:53:02.4274110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:53:02.4274198Z x_se = self.act1(x_se) 2025-08-14T21:53:02.4274215Z 2025-08-14T21:53:02.4274360Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4274701Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4274783Z return mod(*inputs) 2025-08-14T21:53:02.4275140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4275233Z x = self.forward_features(x) 2025-08-14T21:53:02.4275575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4275661Z x = self.blocks(x) 2025-08-14T21:53:02.4275943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4276017Z x = self.se(x) 2025-08-14T21:53:02.4276307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:53:02.4276386Z x_se = self.act1(x_se) 2025-08-14T21:53:02.4276399Z 2025-08-14T21:53:02.4276553Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4276806Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4276881Z return mod(*inputs) 2025-08-14T21:53:02.4277150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4277235Z x = self.forward_features(x) 2025-08-14T21:53:02.4277533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4277615Z x = self.blocks(x) 2025-08-14T21:53:02.4277900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4277982Z x = self.se(x) 2025-08-14T21:53:02.4278264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.4278349Z return x * self.gate(x_se) 2025-08-14T21:53:02.4278365Z 2025-08-14T21:53:02.4278492Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4278752Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4278856Z return mod(*inputs) 2025-08-14T21:53:02.4281327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4281413Z x = self.forward_features(x) 2025-08-14T21:53:02.4281712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4281789Z x = self.blocks(x) 2025-08-14T21:53:02.4282079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4282160Z x = self.se(x) 2025-08-14T21:53:02.4282469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.4282596Z return x * self.gate(x_se) 2025-08-14T21:53:02.4282609Z 2025-08-14T21:53:02.4282737Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4283034Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4283116Z return mod(*inputs) 2025-08-14T21:53:02.4283380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4283462Z x = self.forward_features(x) 2025-08-14T21:53:02.4283762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4283837Z x = self.blocks(x) 2025-08-14T21:53:02.4284120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4284200Z x = self.se(x) 2025-08-14T21:53:02.4284484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.4284577Z return x * self.gate(x_se) 2025-08-14T21:53:02.4284590Z 2025-08-14T21:53:02.4284684Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4284807Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4285061Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4285138Z return mod(*inputs) 2025-08-14T21:53:02.4285402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4285493Z x = self.forward_features(x) 2025-08-14T21:53:02.4285787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4285870Z x = self.blocks(x) 2025-08-14T21:53:02.4286178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4286262Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4286530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4286656Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4286929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4287054Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4287067Z 2025-08-14T21:53:02.4287186Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4287437Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4287513Z return mod(*inputs) 2025-08-14T21:53:02.4287777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4287868Z x = self.forward_features(x) 2025-08-14T21:53:02.4288163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4288240Z x = self.blocks(x) 2025-08-14T21:53:02.4288521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4288600Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4288867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4288990Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4289264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4289394Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4289428Z 2025-08-14T21:53:02.4289521Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4289671Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4289943Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4290021Z return mod(*inputs) 2025-08-14T21:53:02.4290292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4290373Z x = self.forward_features(x) 2025-08-14T21:53:02.4290674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4290746Z x = self.blocks(x) 2025-08-14T21:53:02.4291029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4291113Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4291373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4291493Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4291769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4291887Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4291899Z 2025-08-14T21:53:02.4292025Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4292270Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4292346Z return mod(*inputs) 2025-08-14T21:53:02.4292615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4292698Z x = self.forward_features(x) 2025-08-14T21:53:02.4292993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4293075Z x = self.blocks(x) 2025-08-14T21:53:02.4293445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4293535Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4293865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4293990Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4294269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4294390Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4294402Z 2025-08-14T21:53:02.4294501Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4294593Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4294716Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4294968Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4295049Z return mod(*inputs) 2025-08-14T21:53:02.4295314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4295405Z x = self.forward_features(x) 2025-08-14T21:53:02.4295697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4295772Z x = self.blocks(x) 2025-08-14T21:53:02.4296065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4296142Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4296409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.4296489Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.4296501Z 2025-08-14T21:53:02.4296655Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4296906Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4297030Z return mod(*inputs) 2025-08-14T21:53:02.4297301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4297387Z x = self.forward_features(x) 2025-08-14T21:53:02.4297678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4297757Z x = self.blocks(x) 2025-08-14T21:53:02.4298040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:53:02.4298128Z x = self.drop_path(x) + shortcut 2025-08-14T21:53:02.4298141Z 2025-08-14T21:53:02.4298266Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4298509Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4298594Z return mod(*inputs) 2025-08-14T21:53:02.4298857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4298940Z x = self.forward_features(x) 2025-08-14T21:53:02.4299235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4299310Z x = self.blocks(x) 2025-08-14T21:53:02.4299592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4299673Z x = self.conv_pw(x) 2025-08-14T21:53:02.4299929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4300056Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4300326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4300473Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4300489Z 2025-08-14T21:53:02.4300618Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4300865Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4300948Z return mod(*inputs) 2025-08-14T21:53:02.4301209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4301290Z x = self.forward_features(x) 2025-08-14T21:53:02.4301591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4301667Z x = self.blocks(x) 2025-08-14T21:53:02.4301951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4302038Z x = self.conv_pw(x) 2025-08-14T21:53:02.4302301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4302433Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4302703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4302823Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4302835Z 2025-08-14T21:53:02.4302964Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4303207Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4303284Z return mod(*inputs) 2025-08-14T21:53:02.4303559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4303646Z x = self.forward_features(x) 2025-08-14T21:53:02.4303969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4319915Z x = self.blocks(x) 2025-08-14T21:53:02.4320484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4320568Z x = self.conv_pw(x) 2025-08-14T21:53:02.4320857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4320995Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4321279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4321411Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4321426Z 2025-08-14T21:53:02.4321557Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4321834Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4321916Z return mod(*inputs) 2025-08-14T21:53:02.4322196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4322330Z x = self.forward_features(x) 2025-08-14T21:53:02.4322767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4322844Z x = self.blocks(x) 2025-08-14T21:53:02.4323138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4323212Z x = self.conv_pw(x) 2025-08-14T21:53:02.4323476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4323604Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4323877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4324000Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4324044Z 2025-08-14T21:53:02.4324144Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4324237Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4324361Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4324613Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4324692Z return mod(*inputs) 2025-08-14T21:53:02.4324958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4325041Z x = self.forward_features(x) 2025-08-14T21:53:02.4325339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4325413Z x = self.blocks(x) 2025-08-14T21:53:02.4325706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4325780Z x = self.conv_pw(x) 2025-08-14T21:53:02.4326043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.4326126Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.4326139Z 2025-08-14T21:53:02.4326262Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4326509Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4326590Z return mod(*inputs) 2025-08-14T21:53:02.4326854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4326946Z x = self.forward_features(x) 2025-08-14T21:53:02.4327239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4327311Z x = self.blocks(x) 2025-08-14T21:53:02.4327627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:53:02.4327770Z x = self.bn1(x) 2025-08-14T21:53:02.4328020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:53:02.4328098Z x = F.batch_norm( 2025-08-14T21:53:02.4328111Z 2025-08-14T21:53:02.4328232Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4328480Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4328557Z return mod(*inputs) 2025-08-14T21:53:02.4328818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4328908Z x = self.forward_features(x) 2025-08-14T21:53:02.4329199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4329273Z x = self.blocks(x) 2025-08-14T21:53:02.4329566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:53:02.4329640Z x = self.bn1(x) 2025-08-14T21:53:02.4329891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:53:02.4329960Z x = self.act(x) 2025-08-14T21:53:02.4329973Z 2025-08-14T21:53:02.4330065Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4330190Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4330434Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4330507Z return mod(*inputs) 2025-08-14T21:53:02.4330772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4330852Z x = self.forward_features(x) 2025-08-14T21:53:02.4331152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4331245Z x = self.blocks(x) 2025-08-14T21:53:02.4331528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4331605Z x = self.conv_dw(x) 2025-08-14T21:53:02.4331862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4331991Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4332260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4332381Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4332394Z 2025-08-14T21:53:02.4332515Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4332759Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4332833Z return mod(*inputs) 2025-08-14T21:53:02.4333102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4333184Z x = self.forward_features(x) 2025-08-14T21:53:02.4333477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4333550Z x = self.blocks(x) 2025-08-14T21:53:02.4333832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4333909Z x = self.conv_dw(x) 2025-08-14T21:53:02.4334166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4334285Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4334584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4334707Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4334759Z 2025-08-14T21:53:02.4334855Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4334975Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4335219Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4335298Z return mod(*inputs) 2025-08-14T21:53:02.4335562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4335644Z x = self.forward_features(x) 2025-08-14T21:53:02.4335937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4336013Z x = self.blocks(x) 2025-08-14T21:53:02.4336304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4336378Z x = self.conv_dw(x) 2025-08-14T21:53:02.4336638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4336800Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4337093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4341455Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4341469Z 2025-08-14T21:53:02.4341589Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4341833Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4341919Z return mod(*inputs) 2025-08-14T21:53:02.4342186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4342271Z x = self.forward_features(x) 2025-08-14T21:53:02.4342610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4342690Z x = self.blocks(x) 2025-08-14T21:53:02.4342983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4343057Z x = self.conv_dw(x) 2025-08-14T21:53:02.4343314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4343448Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4343716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4343835Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4343855Z 2025-08-14T21:53:02.4343949Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4344042Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4344170Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4344419Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4344497Z return mod(*inputs) 2025-08-14T21:53:02.4344772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4344857Z x = self.forward_features(x) 2025-08-14T21:53:02.4345155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4345237Z x = self.blocks(x) 2025-08-14T21:53:02.4345522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4345603Z x = self.conv_dw(x) 2025-08-14T21:53:02.4345860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.4345962Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.4345975Z 2025-08-14T21:53:02.4346078Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4346243Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4346499Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4346574Z return mod(*inputs) 2025-08-14T21:53:02.4346910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4347003Z x = self.forward_features(x) 2025-08-14T21:53:02.4347295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4347374Z x = self.blocks(x) 2025-08-14T21:53:02.4347671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4347746Z x = self.se(x) 2025-08-14T21:53:02.4348039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:53:02.4348133Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:53:02.4348145Z 2025-08-14T21:53:02.4348269Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4348527Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4348608Z return mod(*inputs) 2025-08-14T21:53:02.4348874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4348967Z x = self.forward_features(x) 2025-08-14T21:53:02.4349257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4349336Z x = self.blocks(x) 2025-08-14T21:53:02.4349619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4349696Z x = self.se(x) 2025-08-14T21:53:02.4350001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:53:02.4350091Z x_se = self.act1(x_se) 2025-08-14T21:53:02.4350104Z 2025-08-14T21:53:02.4350224Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4350469Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4350553Z return mod(*inputs) 2025-08-14T21:53:02.4350817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4350899Z x = self.forward_features(x) 2025-08-14T21:53:02.4351194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4351304Z x = self.blocks(x) 2025-08-14T21:53:02.4351679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4351755Z x = self.se(x) 2025-08-14T21:53:02.4352042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:53:02.4352128Z x_se = self.act1(x_se) 2025-08-14T21:53:02.4352141Z 2025-08-14T21:53:02.4352261Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4352507Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4352584Z return mod(*inputs) 2025-08-14T21:53:02.4352846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4352933Z x = self.forward_features(x) 2025-08-14T21:53:02.4353225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4353647Z x = self.blocks(x) 2025-08-14T21:53:02.4353980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4354101Z x = self.se(x) 2025-08-14T21:53:02.4354388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.4354472Z return x * self.gate(x_se) 2025-08-14T21:53:02.4354485Z 2025-08-14T21:53:02.4354608Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4354856Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4354931Z return mod(*inputs) 2025-08-14T21:53:02.4355196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4355285Z x = self.forward_features(x) 2025-08-14T21:53:02.4355581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4355661Z x = self.blocks(x) 2025-08-14T21:53:02.4355945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4356020Z x = self.se(x) 2025-08-14T21:53:02.4356305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.4356387Z return x * self.gate(x_se) 2025-08-14T21:53:02.4356400Z 2025-08-14T21:53:02.4356522Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4356775Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4356850Z return mod(*inputs) 2025-08-14T21:53:02.4357121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4357206Z x = self.forward_features(x) 2025-08-14T21:53:02.4357500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4357630Z x = self.blocks(x) 2025-08-14T21:53:02.4357919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4357991Z x = self.se(x) 2025-08-14T21:53:02.4358279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.4358362Z return x * self.gate(x_se) 2025-08-14T21:53:02.4358374Z 2025-08-14T21:53:02.4358473Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4358594Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4358837Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4358917Z return mod(*inputs) 2025-08-14T21:53:02.4359188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4359281Z x = self.forward_features(x) 2025-08-14T21:53:02.4359577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4359658Z x = self.blocks(x) 2025-08-14T21:53:02.4359949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4360032Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4360293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4360428Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4360704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4360834Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4360847Z 2025-08-14T21:53:02.4361002Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4361250Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4361387Z return mod(*inputs) 2025-08-14T21:53:02.4361649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4361731Z x = self.forward_features(x) 2025-08-14T21:53:02.4362028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4362102Z x = self.blocks(x) 2025-08-14T21:53:02.4362390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4362468Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4362724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4362854Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4363125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4363249Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4363267Z 2025-08-14T21:53:02.4363359Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4363479Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4363730Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4363809Z return mod(*inputs) 2025-08-14T21:53:02.4364072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4364163Z x = self.forward_features(x) 2025-08-14T21:53:02.4364460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4364539Z x = self.blocks(x) 2025-08-14T21:53:02.4364852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4364934Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4365198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4365317Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4365590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4365724Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4365741Z 2025-08-14T21:53:02.4365910Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4370327Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4370408Z return mod(*inputs) 2025-08-14T21:53:02.4370679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4370773Z x = self.forward_features(x) 2025-08-14T21:53:02.4371070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4371145Z x = self.blocks(x) 2025-08-14T21:53:02.4371440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4371518Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4371783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4371904Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4372173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4372299Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4372312Z 2025-08-14T21:53:02.4372431Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4372534Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4372706Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4372951Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4373031Z return mod(*inputs) 2025-08-14T21:53:02.4373302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4373386Z x = self.forward_features(x) 2025-08-14T21:53:02.4373689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4373769Z x = self.blocks(x) 2025-08-14T21:53:02.4374110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4374189Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4374451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.4374541Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.4374555Z 2025-08-14T21:53:02.4374675Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4374919Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4374999Z return mod(*inputs) 2025-08-14T21:53:02.4375261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4375351Z x = self.forward_features(x) 2025-08-14T21:53:02.4375643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4375717Z x = self.blocks(x) 2025-08-14T21:53:02.4376004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:53:02.4376093Z x = self.drop_path(x) + shortcut 2025-08-14T21:53:02.4376106Z 2025-08-14T21:53:02.4376252Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4376503Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4376582Z return mod(*inputs) 2025-08-14T21:53:02.4376852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4376933Z x = self.forward_features(x) 2025-08-14T21:53:02.4377222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4377308Z x = self.blocks(x) 2025-08-14T21:53:02.4377593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4377671Z x = self.conv_pw(x) 2025-08-14T21:53:02.4377935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4378061Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4378341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4378461Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4378473Z 2025-08-14T21:53:02.4378592Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4378845Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4378922Z return mod(*inputs) 2025-08-14T21:53:02.4379196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4379278Z x = self.forward_features(x) 2025-08-14T21:53:02.4379593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4379675Z x = self.blocks(x) 2025-08-14T21:53:02.4379959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4380077Z x = self.conv_pw(x) 2025-08-14T21:53:02.4380394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4380518Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4380859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4380980Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4380992Z 2025-08-14T21:53:02.4381112Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4381363Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4381439Z return mod(*inputs) 2025-08-14T21:53:02.4381706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4381797Z x = self.forward_features(x) 2025-08-14T21:53:02.4382092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4382173Z x = self.blocks(x) 2025-08-14T21:53:02.4382461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4382535Z x = self.conv_pw(x) 2025-08-14T21:53:02.4382798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4382916Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4383193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4383314Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4383326Z 2025-08-14T21:53:02.4383474Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4383727Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4383802Z return mod(*inputs) 2025-08-14T21:53:02.4384065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4384152Z x = self.forward_features(x) 2025-08-14T21:53:02.4384442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4384520Z x = self.blocks(x) 2025-08-14T21:53:02.4384801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4384876Z x = self.conv_pw(x) 2025-08-14T21:53:02.4385140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4385264Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4385536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4385660Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4385672Z 2025-08-14T21:53:02.4385763Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4385858Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4385978Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4386224Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4386305Z return mod(*inputs) 2025-08-14T21:53:02.4386568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4386650Z x = self.forward_features(x) 2025-08-14T21:53:02.4387044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4387161Z x = self.blocks(x) 2025-08-14T21:53:02.4387449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4387524Z x = self.conv_pw(x) 2025-08-14T21:53:02.4387780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.4387867Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.4387880Z 2025-08-14T21:53:02.4388000Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4388248Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4388321Z return mod(*inputs) 2025-08-14T21:53:02.4388581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4388670Z x = self.forward_features(x) 2025-08-14T21:53:02.4388963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4389040Z x = self.blocks(x) 2025-08-14T21:53:02.4389331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:53:02.4389402Z x = self.bn1(x) 2025-08-14T21:53:02.4389655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:53:02.4389728Z x = F.batch_norm( 2025-08-14T21:53:02.4389741Z 2025-08-14T21:53:02.4389859Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4390105Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4390181Z return mod(*inputs) 2025-08-14T21:53:02.4390443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4390532Z x = self.forward_features(x) 2025-08-14T21:53:02.4390845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4390926Z x = self.blocks(x) 2025-08-14T21:53:02.4391214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:53:02.4391285Z x = self.bn1(x) 2025-08-14T21:53:02.4391540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:53:02.4391613Z x = self.act(x) 2025-08-14T21:53:02.4391626Z 2025-08-14T21:53:02.4391717Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4391840Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4392083Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4392163Z return mod(*inputs) 2025-08-14T21:53:02.4392428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4392513Z x = self.forward_features(x) 2025-08-14T21:53:02.4392807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4392882Z x = self.blocks(x) 2025-08-14T21:53:02.4393163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4393244Z x = self.conv_dw(x) 2025-08-14T21:53:02.4393502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4393633Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4393900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4394042Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4394055Z 2025-08-14T21:53:02.4394185Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4394472Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4394551Z return mod(*inputs) 2025-08-14T21:53:02.4394879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4394963Z x = self.forward_features(x) 2025-08-14T21:53:02.4403728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4403810Z x = self.blocks(x) 2025-08-14T21:53:02.4404193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4404285Z x = self.conv_dw(x) 2025-08-14T21:53:02.4404635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4404796Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4405161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4405305Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4405318Z 2025-08-14T21:53:02.4405421Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4405565Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4405885Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4405973Z return mod(*inputs) 2025-08-14T21:53:02.4406239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4406327Z x = self.forward_features(x) 2025-08-14T21:53:02.4406619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4406718Z x = self.blocks(x) 2025-08-14T21:53:02.4407014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4407087Z x = self.conv_dw(x) 2025-08-14T21:53:02.4407346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4407472Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4407739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4407861Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4407874Z 2025-08-14T21:53:02.4407993Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4408238Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4408317Z return mod(*inputs) 2025-08-14T21:53:02.4408579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4408663Z x = self.forward_features(x) 2025-08-14T21:53:02.4408956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4409030Z x = self.blocks(x) 2025-08-14T21:53:02.4409367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4409442Z x = self.conv_dw(x) 2025-08-14T21:53:02.4409766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4409893Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4410183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4410307Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4410352Z 2025-08-14T21:53:02.4410466Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4410556Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4410684Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4410928Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4411002Z return mod(*inputs) 2025-08-14T21:53:02.4411278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4411362Z x = self.forward_features(x) 2025-08-14T21:53:02.4411662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4411734Z x = self.blocks(x) 2025-08-14T21:53:02.4412017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4412095Z x = self.conv_dw(x) 2025-08-14T21:53:02.4412353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.4412432Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.4412445Z 2025-08-14T21:53:02.4412539Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4412658Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4412904Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4412979Z return mod(*inputs) 2025-08-14T21:53:02.4413242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4413328Z x = self.forward_features(x) 2025-08-14T21:53:02.4413624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4413699Z x = self.blocks(x) 2025-08-14T21:53:02.4414005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4414079Z x = self.se(x) 2025-08-14T21:53:02.4414365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:53:02.4414455Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:53:02.4414468Z 2025-08-14T21:53:02.4414586Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4414835Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4414909Z return mod(*inputs) 2025-08-14T21:53:02.4415172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4415257Z x = self.forward_features(x) 2025-08-14T21:53:02.4415601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4415684Z x = self.blocks(x) 2025-08-14T21:53:02.4415966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4416037Z x = self.se(x) 2025-08-14T21:53:02.4416323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:53:02.4416403Z x_se = self.act1(x_se) 2025-08-14T21:53:02.4416416Z 2025-08-14T21:53:02.4416537Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4416778Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4416857Z return mod(*inputs) 2025-08-14T21:53:02.4417123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4417203Z x = self.forward_features(x) 2025-08-14T21:53:02.4417523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4417667Z x = self.blocks(x) 2025-08-14T21:53:02.4417946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4418022Z x = self.se(x) 2025-08-14T21:53:02.4418299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:53:02.4418377Z x_se = self.act1(x_se) 2025-08-14T21:53:02.4418389Z 2025-08-14T21:53:02.4418510Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4418749Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4418823Z return mod(*inputs) 2025-08-14T21:53:02.4419090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4419171Z x = self.forward_features(x) 2025-08-14T21:53:02.4419472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4419548Z x = self.blocks(x) 2025-08-14T21:53:02.4419828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4419901Z x = self.se(x) 2025-08-14T21:53:02.4420184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.4420267Z return x * self.gate(x_se) 2025-08-14T21:53:02.4420280Z 2025-08-14T21:53:02.4421081Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4421324Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4421405Z return mod(*inputs) 2025-08-14T21:53:02.4421673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4421775Z x = self.forward_features(x) 2025-08-14T21:53:02.4422076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4422150Z x = self.blocks(x) 2025-08-14T21:53:02.4422436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4422507Z x = self.se(x) 2025-08-14T21:53:02.4422786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.4422870Z return x * self.gate(x_se) 2025-08-14T21:53:02.4422882Z 2025-08-14T21:53:02.4423001Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4423248Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4423329Z return mod(*inputs) 2025-08-14T21:53:02.4423595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4423683Z x = self.forward_features(x) 2025-08-14T21:53:02.4424041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4424184Z x = self.blocks(x) 2025-08-14T21:53:02.4424470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4424540Z x = self.se(x) 2025-08-14T21:53:02.4424817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.4424901Z return x * self.gate(x_se) 2025-08-14T21:53:02.4424914Z 2025-08-14T21:53:02.4425005Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4425125Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4425387Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4425465Z return mod(*inputs) 2025-08-14T21:53:02.4425779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4425859Z x = self.forward_features(x) 2025-08-14T21:53:02.4426153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4426231Z x = self.blocks(x) 2025-08-14T21:53:02.4426511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4426590Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4426909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4427034Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4427310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4427432Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4427448Z 2025-08-14T21:53:02.4427574Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4427813Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4427887Z return mod(*inputs) 2025-08-14T21:53:02.4428152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4428233Z x = self.forward_features(x) 2025-08-14T21:53:02.4428528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4428604Z x = self.blocks(x) 2025-08-14T21:53:02.4428884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4428964Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4429244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4429368Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4429643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4429760Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4429772Z 2025-08-14T21:53:02.4429867Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4429989Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4430228Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4430308Z return mod(*inputs) 2025-08-14T21:53:02.4430567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4430649Z x = self.forward_features(x) 2025-08-14T21:53:02.4430945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4431020Z x = self.blocks(x) 2025-08-14T21:53:02.4431302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4431382Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4431638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4431760Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4432028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4432145Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4432157Z 2025-08-14T21:53:02.4432302Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4432550Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4432671Z return mod(*inputs) 2025-08-14T21:53:02.4432932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4433013Z x = self.forward_features(x) 2025-08-14T21:53:02.4433307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4433378Z x = self.blocks(x) 2025-08-14T21:53:02.4433659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4433736Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4433989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4434112Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4434380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4434501Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4434513Z 2025-08-14T21:53:02.4434606Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4434695Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4434812Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4435059Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4435132Z return mod(*inputs) 2025-08-14T21:53:02.4435401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4435480Z x = self.forward_features(x) 2025-08-14T21:53:02.4435770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4435850Z x = self.blocks(x) 2025-08-14T21:53:02.4436155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4436235Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4436491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.4436568Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.4436580Z 2025-08-14T21:53:02.4436708Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4436949Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4437022Z return mod(*inputs) 2025-08-14T21:53:02.4437286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4437366Z x = self.forward_features(x) 2025-08-14T21:53:02.4437656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4437733Z x = self.blocks(x) 2025-08-14T21:53:02.4438016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:53:02.4438105Z x = self.drop_path(x) + shortcut 2025-08-14T21:53:02.4438118Z 2025-08-14T21:53:02.4438251Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4438533Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4444914Z return mod(*inputs) 2025-08-14T21:53:02.4445179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4445262Z x = self.forward_features(x) 2025-08-14T21:53:02.4445555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4445628Z x = self.blocks(x) 2025-08-14T21:53:02.4445948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:53:02.4446064Z x = self.bn1(x) 2025-08-14T21:53:02.4446312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:53:02.4446387Z x = self.act(x) 2025-08-14T21:53:02.4446399Z 2025-08-14T21:53:02.4446518Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4446764Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4446837Z return mod(*inputs) 2025-08-14T21:53:02.4447098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4447181Z x = self.forward_features(x) 2025-08-14T21:53:02.4447475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4447547Z x = self.blocks(x) 2025-08-14T21:53:02.4447834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:53:02.4447906Z x = self.bn1(x) 2025-08-14T21:53:02.4448155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:53:02.4448224Z x = self.act(x) 2025-08-14T21:53:02.4448237Z 2025-08-14T21:53:02.4448355Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4448600Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4448673Z return mod(*inputs) 2025-08-14T21:53:02.4448931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4449017Z x = self.forward_features(x) 2025-08-14T21:53:02.4449308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4449383Z x = self.blocks(x) 2025-08-14T21:53:02.4449688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4449764Z x = self.conv_dw(x) 2025-08-14T21:53:02.4450024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4450149Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4450415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4450543Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4450802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.4450879Z return conv2d_same( 2025-08-14T21:53:02.4451150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:53:02.4451271Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:53:02.4451529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:53:02.4451711Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:53:02.4451953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:53:02.4452070Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:53:02.4452083Z 2025-08-14T21:53:02.4452202Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4452450Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4452525Z return mod(*inputs) 2025-08-14T21:53:02.4452864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4452956Z x = self.forward_features(x) 2025-08-14T21:53:02.4453620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4453802Z x = self.blocks(x) 2025-08-14T21:53:02.4454087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4454160Z x = self.conv_dw(x) 2025-08-14T21:53:02.4454422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4454545Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4454810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4454934Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4455194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.4455270Z return conv2d_same( 2025-08-14T21:53:02.4455542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:53:02.4455701Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:53:02.4455715Z 2025-08-14T21:53:02.4455840Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4456084Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4456161Z return mod(*inputs) 2025-08-14T21:53:02.4456425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4456505Z x = self.forward_features(x) 2025-08-14T21:53:02.4456800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4456876Z x = self.blocks(x) 2025-08-14T21:53:02.4457185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4457269Z x = self.conv_dw(x) 2025-08-14T21:53:02.4457525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4457651Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4457917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4458035Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4458295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.4458369Z return conv2d_same( 2025-08-14T21:53:02.4458636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:53:02.4462078Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:53:02.4462096Z 2025-08-14T21:53:02.4462223Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4462474Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4462555Z return mod(*inputs) 2025-08-14T21:53:02.4462829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4462915Z x = self.forward_features(x) 2025-08-14T21:53:02.4463213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4463289Z x = self.blocks(x) 2025-08-14T21:53:02.4463585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4463659Z x = self.conv_dw(x) 2025-08-14T21:53:02.4463981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4464135Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4464431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4464551Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4464815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.4464891Z return conv2d_same( 2025-08-14T21:53:02.4465166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:53:02.4465287Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:53:02.4465537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:53:02.4465725Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:53:02.4465972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:53:02.4466095Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:53:02.4466107Z 2025-08-14T21:53:02.4466230Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4466474Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4466555Z return mod(*inputs) 2025-08-14T21:53:02.4466925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4467010Z x = self.forward_features(x) 2025-08-14T21:53:02.4467361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4467448Z x = self.blocks(x) 2025-08-14T21:53:02.4471942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4472055Z x = self.conv_dw(x) 2025-08-14T21:53:02.4472313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4472442Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4472706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4472824Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4473083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.4473156Z return conv2d_same( 2025-08-14T21:53:02.4473426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:53:02.4473583Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:53:02.4473658Z 2025-08-14T21:53:02.4473782Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4474031Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4474105Z return mod(*inputs) 2025-08-14T21:53:02.4474375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4474456Z x = self.forward_features(x) 2025-08-14T21:53:02.4474751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4474829Z x = self.blocks(x) 2025-08-14T21:53:02.4475111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4475183Z x = self.conv_dw(x) 2025-08-14T21:53:02.4475494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4475618Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4475910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4476031Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4476286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.4476364Z return conv2d_same( 2025-08-14T21:53:02.4476627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:53:02.4476782Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:53:02.4476799Z 2025-08-14T21:53:02.4476919Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4477163Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4477243Z return mod(*inputs) 2025-08-14T21:53:02.4477508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4477590Z x = self.forward_features(x) 2025-08-14T21:53:02.4477889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4477960Z x = self.blocks(x) 2025-08-14T21:53:02.4478245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4478318Z x = self.conv_dw(x) 2025-08-14T21:53:02.4478575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4478702Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4478969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4479123Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4479387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.4479467Z return conv2d_same( 2025-08-14T21:53:02.4479737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:53:02.4479859Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:53:02.4480110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:53:02.4480285Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:53:02.4480526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:53:02.4480647Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:53:02.4480668Z 2025-08-14T21:53:02.4480830Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4481084Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4481170Z return mod(*inputs) 2025-08-14T21:53:02.4481438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4481522Z x = self.forward_features(x) 2025-08-14T21:53:02.4481887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4481963Z x = self.blocks(x) 2025-08-14T21:53:02.4482329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4482405Z x = self.conv_dw(x) 2025-08-14T21:53:02.4482664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4482822Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4483098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4483240Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4483506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.4483582Z return conv2d_same( 2025-08-14T21:53:02.4483854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:53:02.4484010Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:53:02.4484023Z 2025-08-14T21:53:02.4484150Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4484399Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4484475Z return mod(*inputs) 2025-08-14T21:53:02.4484741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4484832Z x = self.forward_features(x) 2025-08-14T21:53:02.4485130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4485210Z x = self.blocks(x) 2025-08-14T21:53:02.4485492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4485565Z x = self.conv_dw(x) 2025-08-14T21:53:02.4485827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4485946Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4486211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4486336Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4486813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.4486898Z return conv2d_same( 2025-08-14T21:53:02.4487163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:53:02.4487313Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:53:02.4487326Z 2025-08-14T21:53:02.4487429Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4487521Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4487613Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4487735Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4487978Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4488056Z return mod(*inputs) 2025-08-14T21:53:02.4488321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4488435Z x = self.forward_features(x) 2025-08-14T21:53:02.4488735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4488813Z x = self.blocks(x) 2025-08-14T21:53:02.4489101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4489175Z x = self.conv_dw(x) 2025-08-14T21:53:02.4489433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.4489519Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.4489532Z 2025-08-14T21:53:02.4489622Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4489741Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4490017Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4490095Z return mod(*inputs) 2025-08-14T21:53:02.4490364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4490467Z x = self.forward_features(x) 2025-08-14T21:53:02.4490760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4490835Z x = self.blocks(x) 2025-08-14T21:53:02.4491115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4491186Z x = self.se(x) 2025-08-14T21:53:02.4491476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:53:02.4491565Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:53:02.4491577Z 2025-08-14T21:53:02.4491700Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4491949Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4492027Z return mod(*inputs) 2025-08-14T21:53:02.4492297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4492378Z x = self.forward_features(x) 2025-08-14T21:53:02.4492668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4492747Z x = self.blocks(x) 2025-08-14T21:53:02.4493026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4493102Z x = self.se(x) 2025-08-14T21:53:02.4493383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:53:02.4493464Z x_se = self.act1(x_se) 2025-08-14T21:53:02.4493477Z 2025-08-14T21:53:02.4493605Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4493876Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4493954Z return mod(*inputs) 2025-08-14T21:53:02.4494221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4494301Z x = self.forward_features(x) 2025-08-14T21:53:02.4494592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4494669Z x = self.blocks(x) 2025-08-14T21:53:02.4494949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4495023Z x = self.se(x) 2025-08-14T21:53:02.4495303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:53:02.4495381Z x_se = self.act1(x_se) 2025-08-14T21:53:02.4495421Z 2025-08-14T21:53:02.4495544Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4495789Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4495871Z return mod(*inputs) 2025-08-14T21:53:02.4496134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4496225Z x = self.forward_features(x) 2025-08-14T21:53:02.4496582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4500886Z x = self.blocks(x) 2025-08-14T21:53:02.4501177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4501254Z x = self.se(x) 2025-08-14T21:53:02.4501565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.4501654Z return x * self.gate(x_se) 2025-08-14T21:53:02.4501668Z 2025-08-14T21:53:02.4501815Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4502059Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4502138Z return mod(*inputs) 2025-08-14T21:53:02.4502402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4502489Z x = self.forward_features(x) 2025-08-14T21:53:02.4502780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4502854Z x = self.blocks(x) 2025-08-14T21:53:02.4503138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4503208Z x = self.se(x) 2025-08-14T21:53:02.4503489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.4503578Z return x * self.gate(x_se) 2025-08-14T21:53:02.4503592Z 2025-08-14T21:53:02.4503711Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4503958Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4504033Z return mod(*inputs) 2025-08-14T21:53:02.4504292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4504376Z x = self.forward_features(x) 2025-08-14T21:53:02.4504664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4504738Z x = self.blocks(x) 2025-08-14T21:53:02.4505024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4505095Z x = self.se(x) 2025-08-14T21:53:02.4505399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.4505482Z return x * self.gate(x_se) 2025-08-14T21:53:02.4505495Z 2025-08-14T21:53:02.4505612Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4505857Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4505935Z return mod(*inputs) 2025-08-14T21:53:02.4506200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4506282Z x = self.forward_features(x) 2025-08-14T21:53:02.4506577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4506653Z x = self.blocks(x) 2025-08-14T21:53:02.4507012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4507127Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4507142Z 2025-08-14T21:53:02.4507272Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4507513Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4507594Z return mod(*inputs) 2025-08-14T21:53:02.4507857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4507939Z x = self.forward_features(x) 2025-08-14T21:53:02.4508232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4508304Z x = self.blocks(x) 2025-08-14T21:53:02.4508584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4508665Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4508678Z 2025-08-14T21:53:02.4508822Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4509073Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4509180Z return mod(*inputs) 2025-08-14T21:53:02.4509442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4509530Z x = self.forward_features(x) 2025-08-14T21:53:02.4509823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4509895Z x = self.blocks(x) 2025-08-14T21:53:02.4510180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4510253Z x = self.conv_pw(x) 2025-08-14T21:53:02.4510513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4510641Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4510974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4511174Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4511188Z 2025-08-14T21:53:02.4511308Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4511554Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4511627Z return mod(*inputs) 2025-08-14T21:53:02.4511890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4511974Z x = self.forward_features(x) 2025-08-14T21:53:02.4512265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4512339Z x = self.blocks(x) 2025-08-14T21:53:02.4512648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4512726Z x = self.conv_pw(x) 2025-08-14T21:53:02.4512986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4513108Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4513377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4513499Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4513511Z 2025-08-14T21:53:02.4513632Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4513873Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4513954Z return mod(*inputs) 2025-08-14T21:53:02.4514218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4514332Z x = self.forward_features(x) 2025-08-14T21:53:02.4514625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4514702Z x = self.blocks(x) 2025-08-14T21:53:02.4514988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4515062Z x = self.conv_pw(x) 2025-08-14T21:53:02.4515318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4515442Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4515710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4515835Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4515847Z 2025-08-14T21:53:02.4515986Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4516233Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4516334Z return mod(*inputs) 2025-08-14T21:53:02.4516594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4516678Z x = self.forward_features(x) 2025-08-14T21:53:02.4516970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4517043Z x = self.blocks(x) 2025-08-14T21:53:02.4517330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4517402Z x = self.conv_pw(x) 2025-08-14T21:53:02.4517658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4517784Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4518053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4518177Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4518189Z 2025-08-14T21:53:02.4518281Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4518370Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4518491Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4518731Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4518804Z return mod(*inputs) 2025-08-14T21:53:02.4519072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4519153Z x = self.forward_features(x) 2025-08-14T21:53:02.4519450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4519523Z x = self.blocks(x) 2025-08-14T21:53:02.4519824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4519905Z x = self.conv_pw(x) 2025-08-14T21:53:02.4520160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.4520242Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.4520259Z 2025-08-14T21:53:02.4520377Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4520620Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4520698Z return mod(*inputs) 2025-08-14T21:53:02.4520960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4521041Z x = self.forward_features(x) 2025-08-14T21:53:02.4521339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4521439Z x = self.blocks(x) 2025-08-14T21:53:02.4521725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:53:02.4521796Z x = self.bn1(x) 2025-08-14T21:53:02.4522046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:53:02.4522121Z x = F.batch_norm( 2025-08-14T21:53:02.4522134Z 2025-08-14T21:53:02.4522252Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4522493Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4522570Z return mod(*inputs) 2025-08-14T21:53:02.4522829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4522932Z x = self.forward_features(x) 2025-08-14T21:53:02.4523230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4523324Z x = self.blocks(x) 2025-08-14T21:53:02.4523611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:53:02.4523681Z x = self.bn1(x) 2025-08-14T21:53:02.4523929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:53:02.4524006Z x = self.act(x) 2025-08-14T21:53:02.4524019Z 2025-08-14T21:53:02.4524110Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4524234Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4524473Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4524549Z return mod(*inputs) 2025-08-14T21:53:02.4524818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4524903Z x = self.forward_features(x) 2025-08-14T21:53:02.4525199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4525314Z x = self.blocks(x) 2025-08-14T21:53:02.4529841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4529925Z x = self.conv_dw(x) 2025-08-14T21:53:02.4530185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4530309Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4530586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4530710Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4530723Z 2025-08-14T21:53:02.4530855Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4531126Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4531204Z return mod(*inputs) 2025-08-14T21:53:02.4531470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4531551Z x = self.forward_features(x) 2025-08-14T21:53:02.4531842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4531920Z x = self.blocks(x) 2025-08-14T21:53:02.4532203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4532281Z x = self.conv_dw(x) 2025-08-14T21:53:02.4532536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4532659Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4532957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4533075Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4533088Z 2025-08-14T21:53:02.4533178Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4533301Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4533553Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4533667Z return mod(*inputs) 2025-08-14T21:53:02.4533929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4534008Z x = self.forward_features(x) 2025-08-14T21:53:02.4534299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4534400Z x = self.blocks(x) 2025-08-14T21:53:02.4534687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4534791Z x = self.conv_dw(x) 2025-08-14T21:53:02.4535048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4535170Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4535437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4535556Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4535568Z 2025-08-14T21:53:02.4535692Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4535939Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4536017Z return mod(*inputs) 2025-08-14T21:53:02.4536280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4536368Z x = self.forward_features(x) 2025-08-14T21:53:02.4536660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4536733Z x = self.blocks(x) 2025-08-14T21:53:02.4537020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4537097Z x = self.conv_dw(x) 2025-08-14T21:53:02.4537353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4537473Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4537742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4537860Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4537875Z 2025-08-14T21:53:02.4537969Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4538115Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4538358Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4538441Z return mod(*inputs) 2025-08-14T21:53:02.4538702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4538787Z x = self.forward_features(x) 2025-08-14T21:53:02.4539077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4539150Z x = self.blocks(x) 2025-08-14T21:53:02.4539435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4539508Z x = self.conv_dw(x) 2025-08-14T21:53:02.4539800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4539968Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4540313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4540434Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4540447Z 2025-08-14T21:53:02.4540566Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4540809Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4540892Z return mod(*inputs) 2025-08-14T21:53:02.4541152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4541236Z x = self.forward_features(x) 2025-08-14T21:53:02.4541558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4541634Z x = self.blocks(x) 2025-08-14T21:53:02.4541971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4542069Z x = self.conv_dw(x) 2025-08-14T21:53:02.4542324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4542447Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4542713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4542835Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4542848Z 2025-08-14T21:53:02.4542939Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4543058Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4543309Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4543387Z return mod(*inputs) 2025-08-14T21:53:02.4543651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4543739Z x = self.forward_features(x) 2025-08-14T21:53:02.4544033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4544112Z x = self.blocks(x) 2025-08-14T21:53:02.4544397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4544471Z x = self.conv_dw(x) 2025-08-14T21:53:02.4544731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4544851Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4545120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4545265Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4545280Z 2025-08-14T21:53:02.4545401Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4545647Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4545725Z return mod(*inputs) 2025-08-14T21:53:02.4545986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4546072Z x = self.forward_features(x) 2025-08-14T21:53:02.4546361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4546441Z x = self.blocks(x) 2025-08-14T21:53:02.4546721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4546846Z x = self.conv_dw(x) 2025-08-14T21:53:02.4547173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4547296Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4547561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4547684Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4547696Z 2025-08-14T21:53:02.4547790Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4547887Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4547975Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4548061Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4548186Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4548430Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4548528Z return mod(*inputs) 2025-08-14T21:53:02.4548802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4548907Z x = self.forward_features(x) 2025-08-14T21:53:02.4549206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4549280Z x = self.blocks(x) 2025-08-14T21:53:02.4549563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4549646Z x = self.conv_dw(x) 2025-08-14T21:53:02.4549902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.4549982Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.4549995Z 2025-08-14T21:53:02.4550092Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4550212Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4550458Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4550537Z return mod(*inputs) 2025-08-14T21:53:02.4550799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4550883Z x = self.forward_features(x) 2025-08-14T21:53:02.4551177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4551249Z x = self.blocks(x) 2025-08-14T21:53:02.4551533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4551605Z x = self.se(x) 2025-08-14T21:53:02.4551888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:53:02.4551975Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:53:02.4551987Z 2025-08-14T21:53:02.4552107Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4552380Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4552458Z return mod(*inputs) 2025-08-14T21:53:02.4552723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4552808Z x = self.forward_features(x) 2025-08-14T21:53:02.4553100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4553179Z x = self.blocks(x) 2025-08-14T21:53:02.4553849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4553926Z x = self.se(x) 2025-08-14T21:53:02.4554224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:53:02.4554349Z x_se = self.act1(x_se) 2025-08-14T21:53:02.4554434Z 2025-08-14T21:53:02.4554564Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4563138Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4563217Z return mod(*inputs) 2025-08-14T21:53:02.4563574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4563660Z x = self.forward_features(x) 2025-08-14T21:53:02.4564054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4564140Z x = self.blocks(x) 2025-08-14T21:53:02.4564516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4564594Z x = self.se(x) 2025-08-14T21:53:02.4565011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:53:02.4565099Z x_se = self.act1(x_se) 2025-08-14T21:53:02.4565113Z 2025-08-14T21:53:02.4565261Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4565618Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4565692Z return mod(*inputs) 2025-08-14T21:53:02.4565994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4566074Z x = self.forward_features(x) 2025-08-14T21:53:02.4566373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4566445Z x = self.blocks(x) 2025-08-14T21:53:02.4566724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4566808Z x = self.se(x) 2025-08-14T21:53:02.4567090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.4567175Z return x * self.gate(x_se) 2025-08-14T21:53:02.4567190Z 2025-08-14T21:53:02.4567317Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4567558Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4567635Z return mod(*inputs) 2025-08-14T21:53:02.4567896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4567976Z x = self.forward_features(x) 2025-08-14T21:53:02.4568276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4568350Z x = self.blocks(x) 2025-08-14T21:53:02.4568630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4568704Z x = self.se(x) 2025-08-14T21:53:02.4569068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.4571356Z return x * self.gate(x_se) 2025-08-14T21:53:02.4571369Z 2025-08-14T21:53:02.4571489Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4571734Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4571816Z return mod(*inputs) 2025-08-14T21:53:02.4572080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4572164Z x = self.forward_features(x) 2025-08-14T21:53:02.4572457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4572533Z x = self.blocks(x) 2025-08-14T21:53:02.4572826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4572968Z x = self.se(x) 2025-08-14T21:53:02.4573251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.4573340Z return x * self.gate(x_se) 2025-08-14T21:53:02.4573353Z 2025-08-14T21:53:02.4573445Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4573568Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4573809Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4573884Z return mod(*inputs) 2025-08-14T21:53:02.4574152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4574232Z x = self.forward_features(x) 2025-08-14T21:53:02.4574520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4574620Z x = self.blocks(x) 2025-08-14T21:53:02.4574902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4575005Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4575263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4575388Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4575661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4575783Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4575795Z 2025-08-14T21:53:02.4575914Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4576165Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4576240Z return mod(*inputs) 2025-08-14T21:53:02.4576507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4576591Z x = self.forward_features(x) 2025-08-14T21:53:02.4576884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4576960Z x = self.blocks(x) 2025-08-14T21:53:02.4577242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4577318Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4577578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4577698Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4577979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4578098Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4578112Z 2025-08-14T21:53:02.4578205Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4578353Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4578599Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4578677Z return mod(*inputs) 2025-08-14T21:53:02.4578938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4579019Z x = self.forward_features(x) 2025-08-14T21:53:02.4579313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4579386Z x = self.blocks(x) 2025-08-14T21:53:02.4579666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4579747Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4580003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4580161Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4580433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4580550Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4580563Z 2025-08-14T21:53:02.4580687Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4580929Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4581006Z return mod(*inputs) 2025-08-14T21:53:02.4581270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4581353Z x = self.forward_features(x) 2025-08-14T21:53:02.4581671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4581749Z x = self.blocks(x) 2025-08-14T21:53:02.4582032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4582135Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4582389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4582509Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4582773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4582889Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4582901Z 2025-08-14T21:53:02.4582996Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4583087Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4583206Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4583515Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4583593Z return mod(*inputs) 2025-08-14T21:53:02.4583934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4584017Z x = self.forward_features(x) 2025-08-14T21:53:02.4584307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4584384Z x = self.blocks(x) 2025-08-14T21:53:02.4584665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4584742Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4585003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.4585082Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.4585094Z 2025-08-14T21:53:02.4585221Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4585490Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4585569Z return mod(*inputs) 2025-08-14T21:53:02.4585838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4585918Z x = self.forward_features(x) 2025-08-14T21:53:02.4586210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4586294Z x = self.blocks(x) 2025-08-14T21:53:02.4586578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:53:02.4586670Z x = self.drop_path(x) + shortcut 2025-08-14T21:53:02.4586683Z 2025-08-14T21:53:02.4586856Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4587124Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4587230Z return mod(*inputs) 2025-08-14T21:53:02.4587493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4587576Z x = self.forward_features(x) 2025-08-14T21:53:02.4587876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4587952Z x = self.blocks(x) 2025-08-14T21:53:02.4588238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4588316Z x = self.conv_pw(x) 2025-08-14T21:53:02.4588573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4588698Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4588986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4589117Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4589152Z 2025-08-14T21:53:02.4589270Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4589514Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4589596Z return mod(*inputs) 2025-08-14T21:53:02.4589858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4589938Z x = self.forward_features(x) 2025-08-14T21:53:02.4590238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4590311Z x = self.blocks(x) 2025-08-14T21:53:02.4590598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4590672Z x = self.conv_pw(x) 2025-08-14T21:53:02.4590932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4591057Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4591327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4591444Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4591462Z 2025-08-14T21:53:02.4591579Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4591822Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4591899Z return mod(*inputs) 2025-08-14T21:53:02.4592160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4592241Z x = self.forward_features(x) 2025-08-14T21:53:02.4592541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4592639Z x = self.blocks(x) 2025-08-14T21:53:02.4592925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4592999Z x = self.conv_pw(x) 2025-08-14T21:53:02.4593258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4593382Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4593649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4593767Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4593780Z 2025-08-14T21:53:02.4593904Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4594147Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4594249Z return mod(*inputs) 2025-08-14T21:53:02.4594512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4594597Z x = self.forward_features(x) 2025-08-14T21:53:02.4594896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4594969Z x = self.blocks(x) 2025-08-14T21:53:02.4595254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4595334Z x = self.conv_pw(x) 2025-08-14T21:53:02.4595585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4595709Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4595998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4596119Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4596154Z 2025-08-14T21:53:02.4596252Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4596345Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4596471Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4596712Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4596786Z return mod(*inputs) 2025-08-14T21:53:02.4597050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4597135Z x = self.forward_features(x) 2025-08-14T21:53:02.4597423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4597500Z x = self.blocks(x) 2025-08-14T21:53:02.4597825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4597924Z x = self.conv_pw(x) 2025-08-14T21:53:02.4602424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.4602507Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.4602520Z 2025-08-14T21:53:02.4602649Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4602892Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4602966Z return mod(*inputs) 2025-08-14T21:53:02.4603232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4603314Z x = self.forward_features(x) 2025-08-14T21:53:02.4603611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4603685Z x = self.blocks(x) 2025-08-14T21:53:02.4603994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:53:02.4604075Z x = self.bn1(x) 2025-08-14T21:53:02.4604325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:53:02.4604398Z x = F.batch_norm( 2025-08-14T21:53:02.4604411Z 2025-08-14T21:53:02.4604538Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4604780Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4604860Z return mod(*inputs) 2025-08-14T21:53:02.4605122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4605206Z x = self.forward_features(x) 2025-08-14T21:53:02.4605504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4605579Z x = self.blocks(x) 2025-08-14T21:53:02.4605889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:53:02.4605972Z x = self.bn1(x) 2025-08-14T21:53:02.4606220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:53:02.4606297Z x = self.act(x) 2025-08-14T21:53:02.4606309Z 2025-08-14T21:53:02.4606402Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4606520Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4606766Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4606842Z return mod(*inputs) 2025-08-14T21:53:02.4607107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4607192Z x = self.forward_features(x) 2025-08-14T21:53:02.4607505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4607588Z x = self.blocks(x) 2025-08-14T21:53:02.4607890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4607964Z x = self.conv_dw(x) 2025-08-14T21:53:02.4608222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4608343Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4608612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4608736Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4608749Z 2025-08-14T21:53:02.4608865Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4609112Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4609189Z return mod(*inputs) 2025-08-14T21:53:02.4609451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4609537Z x = self.forward_features(x) 2025-08-14T21:53:02.4609829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4609904Z x = self.blocks(x) 2025-08-14T21:53:02.4610185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4610257Z x = self.conv_dw(x) 2025-08-14T21:53:02.4610516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4610632Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4610901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4611061Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4611076Z 2025-08-14T21:53:02.4611168Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4611294Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4611536Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4611612Z return mod(*inputs) 2025-08-14T21:53:02.4611878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4611959Z x = self.forward_features(x) 2025-08-14T21:53:02.4612276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4612381Z x = self.blocks(x) 2025-08-14T21:53:02.4612732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4612872Z x = self.conv_dw(x) 2025-08-14T21:53:02.4613129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4613250Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4613523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4613639Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4613651Z 2025-08-14T21:53:02.4613774Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4614016Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4614090Z return mod(*inputs) 2025-08-14T21:53:02.4614356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4614457Z x = self.forward_features(x) 2025-08-14T21:53:02.4614753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4614852Z x = self.blocks(x) 2025-08-14T21:53:02.4615134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4615211Z x = self.conv_dw(x) 2025-08-14T21:53:02.4615467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4615586Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4615863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4615980Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4615993Z 2025-08-14T21:53:02.4616083Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4616208Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4616454Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4616535Z return mod(*inputs) 2025-08-14T21:53:02.4616797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4616876Z x = self.forward_features(x) 2025-08-14T21:53:02.4617172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4617243Z x = self.blocks(x) 2025-08-14T21:53:02.4617523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4617600Z x = self.conv_dw(x) 2025-08-14T21:53:02.4617854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4617977Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4618265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4618386Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4618398Z 2025-08-14T21:53:02.4618522Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4618767Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4618846Z return mod(*inputs) 2025-08-14T21:53:02.4619105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4619186Z x = self.forward_features(x) 2025-08-14T21:53:02.4619479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4619553Z x = self.blocks(x) 2025-08-14T21:53:02.4619838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4619939Z x = self.conv_dw(x) 2025-08-14T21:53:02.4620196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4620319Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4620588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4620705Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4620717Z 2025-08-14T21:53:02.4620810Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4620930Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4621173Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4621250Z return mod(*inputs) 2025-08-14T21:53:02.4621532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4631468Z x = self.forward_features(x) 2025-08-14T21:53:02.4631899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4631977Z x = self.blocks(x) 2025-08-14T21:53:02.4632271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4632346Z x = self.conv_dw(x) 2025-08-14T21:53:02.4632605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4632731Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4633001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4633125Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4633138Z 2025-08-14T21:53:02.4633264Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4633513Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4633593Z return mod(*inputs) 2025-08-14T21:53:02.4633859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4633946Z x = self.forward_features(x) 2025-08-14T21:53:02.4634239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4634314Z x = self.blocks(x) 2025-08-14T21:53:02.4634603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4634677Z x = self.conv_dw(x) 2025-08-14T21:53:02.4634933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4635058Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4635362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4635486Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4635498Z 2025-08-14T21:53:02.4635592Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4635685Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4635779Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4635864Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4635984Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4636231Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4636305Z return mod(*inputs) 2025-08-14T21:53:02.4636576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4636660Z x = self.forward_features(x) 2025-08-14T21:53:02.4636979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4637058Z x = self.blocks(x) 2025-08-14T21:53:02.4637338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4637411Z x = self.conv_dw(x) 2025-08-14T21:53:02.4637672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.4637750Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.4637763Z 2025-08-14T21:53:02.4637855Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4637974Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4638214Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4638292Z return mod(*inputs) 2025-08-14T21:53:02.4638577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4638683Z x = self.forward_features(x) 2025-08-14T21:53:02.4638974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4639047Z x = self.blocks(x) 2025-08-14T21:53:02.4639331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4639402Z x = self.se(x) 2025-08-14T21:53:02.4639680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:53:02.4639772Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:53:02.4639784Z 2025-08-14T21:53:02.4639903Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4640142Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4640224Z return mod(*inputs) 2025-08-14T21:53:02.4640486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4640571Z x = self.forward_features(x) 2025-08-14T21:53:02.4640864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4640936Z x = self.blocks(x) 2025-08-14T21:53:02.4641227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4641336Z x = self.se(x) 2025-08-14T21:53:02.4641695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:53:02.4641779Z x_se = self.act1(x_se) 2025-08-14T21:53:02.4641793Z 2025-08-14T21:53:02.4641910Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4642155Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4642253Z return mod(*inputs) 2025-08-14T21:53:02.4642520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4642603Z x = self.forward_features(x) 2025-08-14T21:53:02.4642892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4642967Z x = self.blocks(x) 2025-08-14T21:53:02.4643248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4643319Z x = self.se(x) 2025-08-14T21:53:02.4643600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:53:02.4643678Z x_se = self.act1(x_se) 2025-08-14T21:53:02.4643691Z 2025-08-14T21:53:02.4643809Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4644083Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4644159Z return mod(*inputs) 2025-08-14T21:53:02.4644426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4644506Z x = self.forward_features(x) 2025-08-14T21:53:02.4644796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4644873Z x = self.blocks(x) 2025-08-14T21:53:02.4645155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4645226Z x = self.se(x) 2025-08-14T21:53:02.4645511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.4645593Z return x * self.gate(x_se) 2025-08-14T21:53:02.4645606Z 2025-08-14T21:53:02.4645748Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4645992Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4646101Z return mod(*inputs) 2025-08-14T21:53:02.4646364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4646445Z x = self.forward_features(x) 2025-08-14T21:53:02.4646734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4646810Z x = self.blocks(x) 2025-08-14T21:53:02.4647089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4647163Z x = self.se(x) 2025-08-14T21:53:02.4647437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.4647521Z return x * self.gate(x_se) 2025-08-14T21:53:02.4647535Z 2025-08-14T21:53:02.4647660Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4647902Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4647981Z return mod(*inputs) 2025-08-14T21:53:02.4648242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4648322Z x = self.forward_features(x) 2025-08-14T21:53:02.4648618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4648696Z x = self.blocks(x) 2025-08-14T21:53:02.4648975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4649048Z x = self.se(x) 2025-08-14T21:53:02.4649328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.4649416Z return x * self.gate(x_se) 2025-08-14T21:53:02.4649450Z 2025-08-14T21:53:02.4649547Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4649665Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4649911Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4649986Z return mod(*inputs) 2025-08-14T21:53:02.4650247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4650332Z x = self.forward_features(x) 2025-08-14T21:53:02.4650624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4650699Z x = self.blocks(x) 2025-08-14T21:53:02.4650979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4651057Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4651345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4651468Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4651737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4651864Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4651876Z 2025-08-14T21:53:02.4651992Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4652235Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4652308Z return mod(*inputs) 2025-08-14T21:53:02.4652569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4652656Z x = self.forward_features(x) 2025-08-14T21:53:02.4652969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4653062Z x = self.blocks(x) 2025-08-14T21:53:02.4653719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4653807Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4654068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4654191Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4654460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4654586Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4654600Z 2025-08-14T21:53:02.4654691Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4654815Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4655066Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4655142Z return mod(*inputs) 2025-08-14T21:53:02.4655401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4655487Z x = self.forward_features(x) 2025-08-14T21:53:02.4655813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4655902Z x = self.blocks(x) 2025-08-14T21:53:02.4660325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4660405Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4660668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4660786Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4661110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4661238Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4661251Z 2025-08-14T21:53:02.4661369Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4661614Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4661688Z return mod(*inputs) 2025-08-14T21:53:02.4661946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4662033Z x = self.forward_features(x) 2025-08-14T21:53:02.4662324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4662402Z x = self.blocks(x) 2025-08-14T21:53:02.4662682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4662792Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4663051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4663172Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4663440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4663563Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4663575Z 2025-08-14T21:53:02.4663665Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4663773Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4663966Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4664227Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4664307Z return mod(*inputs) 2025-08-14T21:53:02.4664608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4664695Z x = self.forward_features(x) 2025-08-14T21:53:02.4665020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4665093Z x = self.blocks(x) 2025-08-14T21:53:02.4665382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4665458Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4665714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.4665797Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.4665810Z 2025-08-14T21:53:02.4665928Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4666170Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4666250Z return mod(*inputs) 2025-08-14T21:53:02.4666515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4666599Z x = self.forward_features(x) 2025-08-14T21:53:02.4666961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4667037Z x = self.blocks(x) 2025-08-14T21:53:02.4667326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:53:02.4667412Z x = self.drop_path(x) + shortcut 2025-08-14T21:53:02.4667425Z 2025-08-14T21:53:02.4667551Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4667790Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4667864Z return mod(*inputs) 2025-08-14T21:53:02.4668128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4668209Z x = self.forward_features(x) 2025-08-14T21:53:02.4668523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4668600Z x = self.blocks(x) 2025-08-14T21:53:02.4668878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4668958Z x = self.conv_pw(x) 2025-08-14T21:53:02.4669212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4669332Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4669602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4669720Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4669732Z 2025-08-14T21:53:02.4669851Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4670121Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4670197Z return mod(*inputs) 2025-08-14T21:53:02.4670520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4670599Z x = self.forward_features(x) 2025-08-14T21:53:02.4670961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4671038Z x = self.blocks(x) 2025-08-14T21:53:02.4671319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4671392Z x = self.conv_pw(x) 2025-08-14T21:53:02.4671651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4671793Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4672066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4672206Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4672218Z 2025-08-14T21:53:02.4672334Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4672580Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4672656Z return mod(*inputs) 2025-08-14T21:53:02.4672924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4673006Z x = self.forward_features(x) 2025-08-14T21:53:02.4673296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4673376Z x = self.blocks(x) 2025-08-14T21:53:02.4673659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4673736Z x = self.conv_pw(x) 2025-08-14T21:53:02.4673998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4674114Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4674389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4674507Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4674519Z 2025-08-14T21:53:02.4674639Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4674884Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4674957Z return mod(*inputs) 2025-08-14T21:53:02.4675220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4675306Z x = self.forward_features(x) 2025-08-14T21:53:02.4675619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4675699Z x = self.blocks(x) 2025-08-14T21:53:02.4675979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4676053Z x = self.conv_pw(x) 2025-08-14T21:53:02.4676313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4676433Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4676709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4676828Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4676840Z 2025-08-14T21:53:02.4676933Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4677050Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4677169Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4677414Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4677492Z return mod(*inputs) 2025-08-14T21:53:02.4677756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4677843Z x = self.forward_features(x) 2025-08-14T21:53:02.4678136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4678208Z x = self.blocks(x) 2025-08-14T21:53:02.4678496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4678569Z x = self.conv_pw(x) 2025-08-14T21:53:02.4678856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.4678943Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.4678977Z 2025-08-14T21:53:02.4679096Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4679344Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4679416Z return mod(*inputs) 2025-08-14T21:53:02.4679677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4679762Z x = self.forward_features(x) 2025-08-14T21:53:02.4680050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4680121Z x = self.blocks(x) 2025-08-14T21:53:02.4680404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:53:02.4680477Z x = self.bn1(x) 2025-08-14T21:53:02.4680731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:53:02.4680805Z x = F.batch_norm( 2025-08-14T21:53:02.4680817Z 2025-08-14T21:53:02.4680935Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4681180Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4681253Z return mod(*inputs) 2025-08-14T21:53:02.4681515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4681599Z x = self.forward_features(x) 2025-08-14T21:53:02.4681888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4681962Z x = self.blocks(x) 2025-08-14T21:53:02.4682244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:53:02.4682315Z x = self.bn1(x) 2025-08-14T21:53:02.4682589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:53:02.4682662Z x = self.act(x) 2025-08-14T21:53:02.4682674Z 2025-08-14T21:53:02.4682764Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4682888Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4683128Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4683206Z return mod(*inputs) 2025-08-14T21:53:02.4683472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4683552Z x = self.forward_features(x) 2025-08-14T21:53:02.4683848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4683919Z x = self.blocks(x) 2025-08-14T21:53:02.4684203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4684302Z x = self.conv_dw(x) 2025-08-14T21:53:02.4684557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4684683Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4685015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4689379Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4689393Z 2025-08-14T21:53:02.4689520Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4689763Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4689842Z return mod(*inputs) 2025-08-14T21:53:02.4690131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4690215Z x = self.forward_features(x) 2025-08-14T21:53:02.4690538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4690612Z x = self.blocks(x) 2025-08-14T21:53:02.4690892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4690970Z x = self.conv_dw(x) 2025-08-14T21:53:02.4691226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4691355Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4691624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4691741Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4691753Z 2025-08-14T21:53:02.4691849Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4691971Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4692214Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4692295Z return mod(*inputs) 2025-08-14T21:53:02.4692554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4692639Z x = self.forward_features(x) 2025-08-14T21:53:02.4692932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4693004Z x = self.blocks(x) 2025-08-14T21:53:02.4693292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4693365Z x = self.conv_dw(x) 2025-08-14T21:53:02.4693622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4693767Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4694041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4694163Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4694176Z 2025-08-14T21:53:02.4694295Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4694537Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4694615Z return mod(*inputs) 2025-08-14T21:53:02.4694878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4694964Z x = self.forward_features(x) 2025-08-14T21:53:02.4695254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4695326Z x = self.blocks(x) 2025-08-14T21:53:02.4695636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4695710Z x = self.conv_dw(x) 2025-08-14T21:53:02.4695966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4696087Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4696359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4696478Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4696491Z 2025-08-14T21:53:02.4696581Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4696699Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4696943Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4697036Z return mod(*inputs) 2025-08-14T21:53:02.4697304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4697409Z x = self.forward_features(x) 2025-08-14T21:53:02.4697705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4697781Z x = self.blocks(x) 2025-08-14T21:53:02.4698067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4698139Z x = self.conv_dw(x) 2025-08-14T21:53:02.4698399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4698517Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4698786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4698906Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4698920Z 2025-08-14T21:53:02.4699043Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4699344Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4699419Z return mod(*inputs) 2025-08-14T21:53:02.4699753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4699839Z x = self.forward_features(x) 2025-08-14T21:53:02.4700133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4700211Z x = self.blocks(x) 2025-08-14T21:53:02.4700496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4700569Z x = self.conv_dw(x) 2025-08-14T21:53:02.4700828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4700974Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4701243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4701366Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4701378Z 2025-08-14T21:53:02.4701469Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4701590Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4701831Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4701904Z return mod(*inputs) 2025-08-14T21:53:02.4702171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4702251Z x = self.forward_features(x) 2025-08-14T21:53:02.4702549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4702645Z x = self.blocks(x) 2025-08-14T21:53:02.4702927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4703004Z x = self.conv_dw(x) 2025-08-14T21:53:02.4703265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4703382Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4703652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4703768Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4703781Z 2025-08-14T21:53:02.4703911Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4704177Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4704254Z return mod(*inputs) 2025-08-14T21:53:02.4704521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4704624Z x = self.forward_features(x) 2025-08-14T21:53:02.4704913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4704990Z x = self.blocks(x) 2025-08-14T21:53:02.4705272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4705352Z x = self.conv_dw(x) 2025-08-14T21:53:02.4705615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4705783Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4706056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4706175Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4706190Z 2025-08-14T21:53:02.4706284Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4706373Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4706460Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4706553Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4706670Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4706979Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4707064Z return mod(*inputs) 2025-08-14T21:53:02.4707324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4707405Z x = self.forward_features(x) 2025-08-14T21:53:02.4707702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4707776Z x = self.blocks(x) 2025-08-14T21:53:02.4708086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4708161Z x = self.conv_dw(x) 2025-08-14T21:53:02.4708417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.4708499Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.4708512Z 2025-08-14T21:53:02.4708603Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4708720Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4708971Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4709045Z return mod(*inputs) 2025-08-14T21:53:02.4709310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4709393Z x = self.forward_features(x) 2025-08-14T21:53:02.4709717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4709797Z x = self.blocks(x) 2025-08-14T21:53:02.4710078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4710147Z x = self.se(x) 2025-08-14T21:53:02.4710428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:53:02.4710517Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:53:02.4710530Z 2025-08-14T21:53:02.4710652Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4710891Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4710964Z return mod(*inputs) 2025-08-14T21:53:02.4711250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4711334Z x = self.forward_features(x) 2025-08-14T21:53:02.4711633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4711727Z x = self.blocks(x) 2025-08-14T21:53:02.4712006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4712079Z x = self.se(x) 2025-08-14T21:53:02.4712360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:53:02.4712437Z x_se = self.act1(x_se) 2025-08-14T21:53:02.4712450Z 2025-08-14T21:53:02.4712572Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4712813Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4712890Z return mod(*inputs) 2025-08-14T21:53:02.4713156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4713241Z x = self.forward_features(x) 2025-08-14T21:53:02.4713537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4713610Z x = self.blocks(x) 2025-08-14T21:53:02.4713948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4714021Z x = self.se(x) 2025-08-14T21:53:02.4722777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:53:02.4722865Z x_se = self.act1(x_se) 2025-08-14T21:53:02.4722878Z 2025-08-14T21:53:02.4723013Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4723331Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4723416Z return mod(*inputs) 2025-08-14T21:53:02.4723800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4723890Z x = self.forward_features(x) 2025-08-14T21:53:02.4724279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4724354Z x = self.blocks(x) 2025-08-14T21:53:02.4724742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4724818Z x = self.se(x) 2025-08-14T21:53:02.4725126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.4725211Z return x * self.gate(x_se) 2025-08-14T21:53:02.4725224Z 2025-08-14T21:53:02.4725342Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4725587Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4725682Z return mod(*inputs) 2025-08-14T21:53:02.4725945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4726034Z x = self.forward_features(x) 2025-08-14T21:53:02.4726324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4726397Z x = self.blocks(x) 2025-08-14T21:53:02.4726681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4726749Z x = self.se(x) 2025-08-14T21:53:02.4727035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.4727113Z return x * self.gate(x_se) 2025-08-14T21:53:02.4727126Z 2025-08-14T21:53:02.4727243Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4727507Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4727585Z return mod(*inputs) 2025-08-14T21:53:02.4727870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4727955Z x = self.forward_features(x) 2025-08-14T21:53:02.4728267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4728365Z x = self.blocks(x) 2025-08-14T21:53:02.4730772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4730842Z x = self.se(x) 2025-08-14T21:53:02.4731123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.4731202Z return x * self.gate(x_se) 2025-08-14T21:53:02.4731215Z 2025-08-14T21:53:02.4731308Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4731434Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4731679Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4731760Z return mod(*inputs) 2025-08-14T21:53:02.4732019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4732099Z x = self.forward_features(x) 2025-08-14T21:53:02.4732418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4732512Z x = self.blocks(x) 2025-08-14T21:53:02.4732793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4732875Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4733134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4733264Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4733559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4733681Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4733693Z 2025-08-14T21:53:02.4733814Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4734053Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4734136Z return mod(*inputs) 2025-08-14T21:53:02.4734396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4734475Z x = self.forward_features(x) 2025-08-14T21:53:02.4734769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4734843Z x = self.blocks(x) 2025-08-14T21:53:02.4735149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4735232Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4735488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4735613Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4735883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4736001Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4736014Z 2025-08-14T21:53:02.4736107Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4736222Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4736462Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4736570Z return mod(*inputs) 2025-08-14T21:53:02.4736838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4736945Z x = self.forward_features(x) 2025-08-14T21:53:02.4737236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4737310Z x = self.blocks(x) 2025-08-14T21:53:02.4737592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4737670Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4737925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4738046Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4738309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4738433Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4738447Z 2025-08-14T21:53:02.4738568Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4738809Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4738888Z return mod(*inputs) 2025-08-14T21:53:02.4739148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4739231Z x = self.forward_features(x) 2025-08-14T21:53:02.4739521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4739592Z x = self.blocks(x) 2025-08-14T21:53:02.4739880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4739958Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4740215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4740360Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4740630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4740751Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4740764Z 2025-08-14T21:53:02.4740854Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4740944Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4741064Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4741309Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4741382Z return mod(*inputs) 2025-08-14T21:53:02.4741647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4741727Z x = self.forward_features(x) 2025-08-14T21:53:02.4742046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4742119Z x = self.blocks(x) 2025-08-14T21:53:02.4742401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4742481Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4742751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.4742864Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.4742881Z 2025-08-14T21:53:02.4743001Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4743313Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4743392Z return mod(*inputs) 2025-08-14T21:53:02.4743653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4743760Z x = self.forward_features(x) 2025-08-14T21:53:02.4744059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4744153Z x = self.blocks(x) 2025-08-14T21:53:02.4744435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:53:02.4744524Z x = self.drop_path(x) + shortcut 2025-08-14T21:53:02.4744536Z 2025-08-14T21:53:02.4744652Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4744895Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4744968Z return mod(*inputs) 2025-08-14T21:53:02.4745228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4745314Z x = self.forward_features(x) 2025-08-14T21:53:02.4745603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4745681Z x = self.blocks(x) 2025-08-14T21:53:02.4745965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:53:02.4746036Z x = self.bn1(x) 2025-08-14T21:53:02.4746289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:53:02.4746360Z x = self.act(x) 2025-08-14T21:53:02.4746372Z 2025-08-14T21:53:02.4746494Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4746738Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4746891Z return mod(*inputs) 2025-08-14T21:53:02.4747158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4747239Z x = self.forward_features(x) 2025-08-14T21:53:02.4747561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4747641Z x = self.blocks(x) 2025-08-14T21:53:02.4747923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:53:02.4747993Z x = self.bn1(x) 2025-08-14T21:53:02.4748249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:53:02.4748320Z x = self.act(x) 2025-08-14T21:53:02.4748332Z 2025-08-14T21:53:02.4748456Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4748697Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4748771Z return mod(*inputs) 2025-08-14T21:53:02.4749035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4749116Z x = self.forward_features(x) 2025-08-14T21:53:02.4749432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4749509Z x = self.blocks(x) 2025-08-14T21:53:02.4749791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:53:02.4749864Z x = self.bn2(x) 2025-08-14T21:53:02.4750111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:53:02.4750180Z x = self.act(x) 2025-08-14T21:53:02.4750192Z 2025-08-14T21:53:02.4750314Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4750551Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4750624Z return mod(*inputs) 2025-08-14T21:53:02.4750914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4750996Z x = self.forward_features(x) 2025-08-14T21:53:02.4751290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4751385Z x = self.blocks(x) 2025-08-14T21:53:02.4751665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-08-14T21:53:02.4751739Z x = self.bn2(x) 2025-08-14T21:53:02.4751982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:53:02.4752051Z x = self.act(x) 2025-08-14T21:53:02.4752067Z 2025-08-14T21:53:02.4752158Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4752275Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4752520Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4752596Z return mod(*inputs) 2025-08-14T21:53:02.4752863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4752950Z x = self.forward_features(x) 2025-08-14T21:53:02.4753239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4753669Z x = self.blocks(x) 2025-08-14T21:53:02.4753957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4754028Z x = self.se(x) 2025-08-14T21:53:02.4754311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:53:02.4754400Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:53:02.4754413Z 2025-08-14T21:53:02.4754531Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4754778Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4754854Z return mod(*inputs) 2025-08-14T21:53:02.4755195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4755277Z x = self.forward_features(x) 2025-08-14T21:53:02.4755566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4755641Z x = self.blocks(x) 2025-08-14T21:53:02.4755920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4755989Z x = self.se(x) 2025-08-14T21:53:02.4756270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:53:02.4756347Z x_se = self.act1(x_se) 2025-08-14T21:53:02.4756359Z 2025-08-14T21:53:02.4756480Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4756722Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4756841Z return mod(*inputs) 2025-08-14T21:53:02.4757110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4757193Z x = self.forward_features(x) 2025-08-14T21:53:02.4757543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4761806Z x = self.blocks(x) 2025-08-14T21:53:02.4762094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4762167Z x = self.se(x) 2025-08-14T21:53:02.4762447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:53:02.4762524Z x_se = self.act1(x_se) 2025-08-14T21:53:02.4762537Z 2025-08-14T21:53:02.4762696Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4762943Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4763050Z return mod(*inputs) 2025-08-14T21:53:02.4763313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4763394Z x = self.forward_features(x) 2025-08-14T21:53:02.4763688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4763760Z x = self.blocks(x) 2025-08-14T21:53:02.4764042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4764114Z x = self.se(x) 2025-08-14T21:53:02.4764392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.4764479Z return x * self.gate(x_se) 2025-08-14T21:53:02.4764493Z 2025-08-14T21:53:02.4764615Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4764857Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4764937Z return mod(*inputs) 2025-08-14T21:53:02.4765199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4765280Z x = self.forward_features(x) 2025-08-14T21:53:02.4765572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4765644Z x = self.blocks(x) 2025-08-14T21:53:02.4765930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4765998Z x = self.se(x) 2025-08-14T21:53:02.4766276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.4766361Z return x * self.gate(x_se) 2025-08-14T21:53:02.4766374Z 2025-08-14T21:53:02.4766515Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4766759Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4766836Z return mod(*inputs) 2025-08-14T21:53:02.4767097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4767179Z x = self.forward_features(x) 2025-08-14T21:53:02.4767466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4767538Z x = self.blocks(x) 2025-08-14T21:53:02.4767820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4767891Z x = self.se(x) 2025-08-14T21:53:02.4768171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.4768285Z return x * self.gate(x_se) 2025-08-14T21:53:02.4768299Z 2025-08-14T21:53:02.4768417Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4768661Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4768738Z return mod(*inputs) 2025-08-14T21:53:02.4769002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4769087Z x = self.forward_features(x) 2025-08-14T21:53:02.4769376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4769452Z x = self.blocks(x) 2025-08-14T21:53:02.4769732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4769829Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4769844Z 2025-08-14T21:53:02.4769971Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4770236Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4770311Z return mod(*inputs) 2025-08-14T21:53:02.4770577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4770656Z x = self.forward_features(x) 2025-08-14T21:53:02.4770952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4771024Z x = self.blocks(x) 2025-08-14T21:53:02.4771302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4771381Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4771394Z 2025-08-14T21:53:02.4771514Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4771779Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4771886Z return mod(*inputs) 2025-08-14T21:53:02.4772216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4772301Z x = self.forward_features(x) 2025-08-14T21:53:02.4772588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4772659Z x = self.blocks(x) 2025-08-14T21:53:02.4772946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4773018Z x = self.conv_pw(x) 2025-08-14T21:53:02.4773274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4773405Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4773677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4773834Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4773847Z 2025-08-14T21:53:02.4773964Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4774205Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4774283Z return mod(*inputs) 2025-08-14T21:53:02.4774548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4774635Z x = self.forward_features(x) 2025-08-14T21:53:02.4774929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4775003Z x = self.blocks(x) 2025-08-14T21:53:02.4775299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4775404Z x = self.conv_pw(x) 2025-08-14T21:53:02.4775666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4775800Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4776073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4776199Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4776212Z 2025-08-14T21:53:02.4776331Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4776575Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4776652Z return mod(*inputs) 2025-08-14T21:53:02.4776915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4777020Z x = self.forward_features(x) 2025-08-14T21:53:02.4777320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4777425Z x = self.blocks(x) 2025-08-14T21:53:02.4777715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4777791Z x = self.conv_pw(x) 2025-08-14T21:53:02.4778046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4778174Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4778443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4778570Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4778582Z 2025-08-14T21:53:02.4778701Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4778948Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4779035Z return mod(*inputs) 2025-08-14T21:53:02.4779299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4779383Z x = self.forward_features(x) 2025-08-14T21:53:02.4779679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4779755Z x = self.blocks(x) 2025-08-14T21:53:02.4780046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4780121Z x = self.conv_pw(x) 2025-08-14T21:53:02.4780376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4780503Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4780773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4780916Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4780940Z 2025-08-14T21:53:02.4781037Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4781130Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4781257Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4781501Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4781575Z return mod(*inputs) 2025-08-14T21:53:02.4781846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4781932Z x = self.forward_features(x) 2025-08-14T21:53:02.4782222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4782301Z x = self.blocks(x) 2025-08-14T21:53:02.4782615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4782699Z x = self.conv_pw(x) 2025-08-14T21:53:02.4782955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.4783033Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.4783046Z 2025-08-14T21:53:02.4783170Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4783418Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4783493Z return mod(*inputs) 2025-08-14T21:53:02.4783764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4783847Z x = self.forward_features(x) 2025-08-14T21:53:02.4784167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4784242Z x = self.blocks(x) 2025-08-14T21:53:02.4784528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:53:02.4784622Z x = self.bn1(x) 2025-08-14T21:53:02.4784867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:53:02.4784946Z x = F.batch_norm( 2025-08-14T21:53:02.4784959Z 2025-08-14T21:53:02.4785081Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4785320Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4785398Z return mod(*inputs) 2025-08-14T21:53:02.4785656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4785735Z x = self.forward_features(x) 2025-08-14T21:53:02.4786028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4786106Z x = self.blocks(x) 2025-08-14T21:53:02.4786448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:53:02.4786519Z x = self.bn1(x) 2025-08-14T21:53:02.4790993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:53:02.4791070Z x = self.act(x) 2025-08-14T21:53:02.4791082Z 2025-08-14T21:53:02.4791173Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4791292Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4791536Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4791609Z return mod(*inputs) 2025-08-14T21:53:02.4791873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4791954Z x = self.forward_features(x) 2025-08-14T21:53:02.4792275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4792358Z x = self.blocks(x) 2025-08-14T21:53:02.4792639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4792712Z x = self.conv_dw(x) 2025-08-14T21:53:02.4792972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4793092Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4793364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4793483Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4793495Z 2025-08-14T21:53:02.4793612Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4793861Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4793960Z return mod(*inputs) 2025-08-14T21:53:02.4794220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4794304Z x = self.forward_features(x) 2025-08-14T21:53:02.4794594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4794670Z x = self.blocks(x) 2025-08-14T21:53:02.4794946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4795018Z x = self.conv_dw(x) 2025-08-14T21:53:02.4795277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4795396Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4795688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4795829Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4795841Z 2025-08-14T21:53:02.4795932Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4796054Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4796293Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4796366Z return mod(*inputs) 2025-08-14T21:53:02.4796632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4796711Z x = self.forward_features(x) 2025-08-14T21:53:02.4797004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4797075Z x = self.blocks(x) 2025-08-14T21:53:02.4797356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4797436Z x = self.conv_dw(x) 2025-08-14T21:53:02.4797695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4797811Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4798081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4798197Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4798209Z 2025-08-14T21:53:02.4798328Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4798568Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4798640Z return mod(*inputs) 2025-08-14T21:53:02.4798907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4798988Z x = self.forward_features(x) 2025-08-14T21:53:02.4799307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4799381Z x = self.blocks(x) 2025-08-14T21:53:02.4799665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4799740Z x = self.conv_dw(x) 2025-08-14T21:53:02.4799994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4800110Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4800380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4800497Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4800510Z 2025-08-14T21:53:02.4800605Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4800766Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4801043Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4801193Z return mod(*inputs) 2025-08-14T21:53:02.4801460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4801540Z x = self.forward_features(x) 2025-08-14T21:53:02.4801839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4801910Z x = self.blocks(x) 2025-08-14T21:53:02.4802194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4802265Z x = self.conv_dw(x) 2025-08-14T21:53:02.4802540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4802664Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4802933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4803071Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4803086Z 2025-08-14T21:53:02.4803203Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4803442Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4803517Z return mod(*inputs) 2025-08-14T21:53:02.4803779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4803859Z x = self.forward_features(x) 2025-08-14T21:53:02.4804155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4804226Z x = self.blocks(x) 2025-08-14T21:53:02.4804514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4804588Z x = self.conv_dw(x) 2025-08-14T21:53:02.4804843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4804965Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4805229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4805345Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4805357Z 2025-08-14T21:53:02.4805450Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4805567Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4805811Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4805886Z return mod(*inputs) 2025-08-14T21:53:02.4806170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4806255Z x = self.forward_features(x) 2025-08-14T21:53:02.4806544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4806615Z x = self.blocks(x) 2025-08-14T21:53:02.4806899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4806971Z x = self.conv_dw(x) 2025-08-14T21:53:02.4807304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4807423Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4807687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4807808Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4807844Z 2025-08-14T21:53:02.4807964Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4808209Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4808282Z return mod(*inputs) 2025-08-14T21:53:02.4808540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4808627Z x = self.forward_features(x) 2025-08-14T21:53:02.4808916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4808988Z x = self.blocks(x) 2025-08-14T21:53:02.4809270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4809341Z x = self.conv_dw(x) 2025-08-14T21:53:02.4809628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4809751Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4810038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4810156Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4810169Z 2025-08-14T21:53:02.4810259Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4810347Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4810439Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4810524Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4810645Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4810886Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4810959Z return mod(*inputs) 2025-08-14T21:53:02.4811227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4811312Z x = self.forward_features(x) 2025-08-14T21:53:02.4811604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4811678Z x = self.blocks(x) 2025-08-14T21:53:02.4811957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4812031Z x = self.conv_dw(x) 2025-08-14T21:53:02.4812287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.4812364Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.4812378Z 2025-08-14T21:53:02.4812468Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4812585Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4812824Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4812902Z return mod(*inputs) 2025-08-14T21:53:02.4813181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4813267Z x = self.forward_features(x) 2025-08-14T21:53:02.4813555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4813626Z x = self.blocks(x) 2025-08-14T21:53:02.4813906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4813978Z x = self.se(x) 2025-08-14T21:53:02.4814258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:53:02.4814351Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:53:02.4814363Z 2025-08-14T21:53:02.4814482Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4814730Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4815094Z return mod(*inputs) 2025-08-14T21:53:02.4815418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4815505Z x = self.forward_features(x) 2025-08-14T21:53:02.4820049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4820122Z x = self.blocks(x) 2025-08-14T21:53:02.4820404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4820474Z x = self.se(x) 2025-08-14T21:53:02.4820757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:53:02.4820835Z x_se = self.act1(x_se) 2025-08-14T21:53:02.4820847Z 2025-08-14T21:53:02.4820993Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4821243Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4821340Z return mod(*inputs) 2025-08-14T21:53:02.4821607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4821687Z x = self.forward_features(x) 2025-08-14T21:53:02.4821974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4822050Z x = self.blocks(x) 2025-08-14T21:53:02.4822329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4822398Z x = self.se(x) 2025-08-14T21:53:02.4822683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:53:02.4822758Z x_se = self.act1(x_se) 2025-08-14T21:53:02.4822773Z 2025-08-14T21:53:02.4822900Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4823140Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4823216Z return mod(*inputs) 2025-08-14T21:53:02.4823475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4823556Z x = self.forward_features(x) 2025-08-14T21:53:02.4823898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4823973Z x = self.blocks(x) 2025-08-14T21:53:02.4824254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4824324Z x = self.se(x) 2025-08-14T21:53:02.4824600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.4824681Z return x * self.gate(x_se) 2025-08-14T21:53:02.4824695Z 2025-08-14T21:53:02.4824842Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4825086Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4825162Z return mod(*inputs) 2025-08-14T21:53:02.4825428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4825509Z x = self.forward_features(x) 2025-08-14T21:53:02.4825799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4825874Z x = self.blocks(x) 2025-08-14T21:53:02.4826150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4826222Z x = self.se(x) 2025-08-14T21:53:02.4826497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.4826598Z return x * self.gate(x_se) 2025-08-14T21:53:02.4826618Z 2025-08-14T21:53:02.4826735Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4827041Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4827118Z return mod(*inputs) 2025-08-14T21:53:02.4827377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4827456Z x = self.forward_features(x) 2025-08-14T21:53:02.4827747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4827817Z x = self.blocks(x) 2025-08-14T21:53:02.4828100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4828167Z x = self.se(x) 2025-08-14T21:53:02.4828464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.4828569Z return x * self.gate(x_se) 2025-08-14T21:53:02.4828581Z 2025-08-14T21:53:02.4828672Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4828789Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4829032Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4829105Z return mod(*inputs) 2025-08-14T21:53:02.4829371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4829451Z x = self.forward_features(x) 2025-08-14T21:53:02.4829759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4829866Z x = self.blocks(x) 2025-08-14T21:53:02.4830216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4830297Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4830561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4830686Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4830960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4831081Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4831094Z 2025-08-14T21:53:02.4831211Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4831454Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4831527Z return mod(*inputs) 2025-08-14T21:53:02.4831787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4831878Z x = self.forward_features(x) 2025-08-14T21:53:02.4832194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4832274Z x = self.blocks(x) 2025-08-14T21:53:02.4832553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4832629Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4832887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4833005Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4833274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4833395Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4833408Z 2025-08-14T21:53:02.4833497Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4833642Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4833887Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4833963Z return mod(*inputs) 2025-08-14T21:53:02.4834229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4834312Z x = self.forward_features(x) 2025-08-14T21:53:02.4834605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4834678Z x = self.blocks(x) 2025-08-14T21:53:02.4834958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4835041Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4835300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4835440Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4835715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4835852Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4835864Z 2025-08-14T21:53:02.4835985Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4836228Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4836302Z return mod(*inputs) 2025-08-14T21:53:02.4836568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4836649Z x = self.forward_features(x) 2025-08-14T21:53:02.4836938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4837014Z x = self.blocks(x) 2025-08-14T21:53:02.4837297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4837379Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4837637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4837757Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4838031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4838149Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4838162Z 2025-08-14T21:53:02.4838257Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4838347Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4838466Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4838714Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4838790Z return mod(*inputs) 2025-08-14T21:53:02.4839081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4839167Z x = self.forward_features(x) 2025-08-14T21:53:02.4839461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4839537Z x = self.blocks(x) 2025-08-14T21:53:02.4839820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4839896Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4840158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.4840240Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.4840252Z 2025-08-14T21:53:02.4840372Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4840620Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4840725Z return mod(*inputs) 2025-08-14T21:53:02.4840997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4841080Z x = self.forward_features(x) 2025-08-14T21:53:02.4841374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4841449Z x = self.blocks(x) 2025-08-14T21:53:02.4841730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:53:02.4841815Z x = self.drop_path(x) + shortcut 2025-08-14T21:53:02.4841828Z 2025-08-14T21:53:02.4841950Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4842191Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4842269Z return mod(*inputs) 2025-08-14T21:53:02.4842553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4842654Z x = self.forward_features(x) 2025-08-14T21:53:02.4842946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4843017Z x = self.blocks(x) 2025-08-14T21:53:02.4843298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4843374Z x = self.conv_pw(x) 2025-08-14T21:53:02.4843629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4843752Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4844018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4844137Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4844152Z 2025-08-14T21:53:02.4844314Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4844575Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4853031Z return mod(*inputs) 2025-08-14T21:53:02.4853731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4853819Z x = self.forward_features(x) 2025-08-14T21:53:02.4854216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4854293Z x = self.blocks(x) 2025-08-14T21:53:02.4854670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4854750Z x = self.conv_pw(x) 2025-08-14T21:53:02.4855100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4855311Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4855676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4855792Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4855804Z 2025-08-14T21:53:02.4855925Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4856166Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4856240Z return mod(*inputs) 2025-08-14T21:53:02.4856507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4856588Z x = self.forward_features(x) 2025-08-14T21:53:02.4856884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4856957Z x = self.blocks(x) 2025-08-14T21:53:02.4857272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4857353Z x = self.conv_pw(x) 2025-08-14T21:53:02.4857605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4857730Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4857994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4858110Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4858123Z 2025-08-14T21:53:02.4858245Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4858487Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4858561Z return mod(*inputs) 2025-08-14T21:53:02.4858914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4859025Z x = self.forward_features(x) 2025-08-14T21:53:02.4859392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4859465Z x = self.blocks(x) 2025-08-14T21:53:02.4859749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4859827Z x = self.conv_pw(x) 2025-08-14T21:53:02.4860081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4860198Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4860469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4860586Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4860601Z 2025-08-14T21:53:02.4860699Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4860790Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4860909Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4861154Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4861228Z return mod(*inputs) 2025-08-14T21:53:02.4861490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4861574Z x = self.forward_features(x) 2025-08-14T21:53:02.4861861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4861936Z x = self.blocks(x) 2025-08-14T21:53:02.4862217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4862292Z x = self.conv_pw(x) 2025-08-14T21:53:02.4862580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.4862661Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.4862674Z 2025-08-14T21:53:02.4862797Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4863045Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4863120Z return mod(*inputs) 2025-08-14T21:53:02.4863381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4863462Z x = self.forward_features(x) 2025-08-14T21:53:02.4863752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4863833Z x = self.blocks(x) 2025-08-14T21:53:02.4864116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:53:02.4864214Z x = self.bn1(x) 2025-08-14T21:53:02.4864463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:53:02.4864536Z x = F.batch_norm( 2025-08-14T21:53:02.4864549Z 2025-08-14T21:53:02.4864675Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4864951Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4865039Z return mod(*inputs) 2025-08-14T21:53:02.4865302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4865382Z x = self.forward_features(x) 2025-08-14T21:53:02.4865675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4865746Z x = self.blocks(x) 2025-08-14T21:53:02.4866052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:53:02.4866130Z x = self.bn1(x) 2025-08-14T21:53:02.4866397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:53:02.4866467Z x = self.act(x) 2025-08-14T21:53:02.4866480Z 2025-08-14T21:53:02.4866581Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4866696Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4867010Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4867086Z return mod(*inputs) 2025-08-14T21:53:02.4867349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4867435Z x = self.forward_features(x) 2025-08-14T21:53:02.4867729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4867804Z x = self.blocks(x) 2025-08-14T21:53:02.4868093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4868169Z x = self.conv_dw(x) 2025-08-14T21:53:02.4868433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4868554Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4868824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4868952Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4868964Z 2025-08-14T21:53:02.4869082Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4869329Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4869403Z return mod(*inputs) 2025-08-14T21:53:02.4869689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4869781Z x = self.forward_features(x) 2025-08-14T21:53:02.4870074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4870146Z x = self.blocks(x) 2025-08-14T21:53:02.4870430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4870503Z x = self.conv_dw(x) 2025-08-14T21:53:02.4870762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4870881Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4871149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4871271Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4871307Z 2025-08-14T21:53:02.4871404Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4871524Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4871772Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4871845Z return mod(*inputs) 2025-08-14T21:53:02.4872110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4872190Z x = self.forward_features(x) 2025-08-14T21:53:02.4872482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4872561Z x = self.blocks(x) 2025-08-14T21:53:02.4872843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4872915Z x = self.conv_dw(x) 2025-08-14T21:53:02.4873192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4873398Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4873742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4873861Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4873874Z 2025-08-14T21:53:02.4873992Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4874240Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4874313Z return mod(*inputs) 2025-08-14T21:53:02.4874579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4874659Z x = self.forward_features(x) 2025-08-14T21:53:02.4874948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4875026Z x = self.blocks(x) 2025-08-14T21:53:02.4875311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4875383Z x = self.conv_dw(x) 2025-08-14T21:53:02.4875645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4875762Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4876036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4876155Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4876167Z 2025-08-14T21:53:02.4876258Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4876380Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4876621Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4876696Z return mod(*inputs) 2025-08-14T21:53:02.4877003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4877085Z x = self.forward_features(x) 2025-08-14T21:53:02.4877380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4877452Z x = self.blocks(x) 2025-08-14T21:53:02.4877734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4877812Z x = self.conv_dw(x) 2025-08-14T21:53:02.4878067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4878184Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4878455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4878599Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4878613Z 2025-08-14T21:53:02.4878735Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4878975Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4879051Z return mod(*inputs) 2025-08-14T21:53:02.4879317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4879398Z x = self.forward_features(x) 2025-08-14T21:53:02.4879689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4879760Z x = self.blocks(x) 2025-08-14T21:53:02.4880041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4880141Z x = self.conv_dw(x) 2025-08-14T21:53:02.4880404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4880548Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4880818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4880933Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4880946Z 2025-08-14T21:53:02.4881039Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4881157Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4881400Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4881476Z return mod(*inputs) 2025-08-14T21:53:02.4881741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4881825Z x = self.forward_features(x) 2025-08-14T21:53:02.4882125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4882199Z x = self.blocks(x) 2025-08-14T21:53:02.4882483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4882554Z x = self.conv_dw(x) 2025-08-14T21:53:02.4882809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4882931Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4883196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4883311Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4883330Z 2025-08-14T21:53:02.4883447Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4883689Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4883792Z return mod(*inputs) 2025-08-14T21:53:02.4884053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4884135Z x = self.forward_features(x) 2025-08-14T21:53:02.4884432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4884503Z x = self.blocks(x) 2025-08-14T21:53:02.4884787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4884862Z x = self.conv_dw(x) 2025-08-14T21:53:02.4885116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4885236Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4885502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4885643Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4885656Z 2025-08-14T21:53:02.4885748Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4885836Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4885926Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4886015Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4886133Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4886379Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4886452Z return mod(*inputs) 2025-08-14T21:53:02.4886717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4886799Z x = self.forward_features(x) 2025-08-14T21:53:02.4887109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4887191Z x = self.blocks(x) 2025-08-14T21:53:02.4887524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4887600Z x = self.conv_dw(x) 2025-08-14T21:53:02.4887913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.4887991Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.4888004Z 2025-08-14T21:53:02.4888094Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4894460Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4894701Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4894783Z return mod(*inputs) 2025-08-14T21:53:02.4895047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4895130Z x = self.forward_features(x) 2025-08-14T21:53:02.4895426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4895499Z x = self.blocks(x) 2025-08-14T21:53:02.4895779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4895857Z x = self.se(x) 2025-08-14T21:53:02.4896138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:53:02.4896230Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:53:02.4896243Z 2025-08-14T21:53:02.4896361Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4896601Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4896679Z return mod(*inputs) 2025-08-14T21:53:02.4896942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4897053Z x = self.forward_features(x) 2025-08-14T21:53:02.4897347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4897419Z x = self.blocks(x) 2025-08-14T21:53:02.4897701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4897769Z x = self.se(x) 2025-08-14T21:53:02.4898044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:53:02.4898125Z x_se = self.act1(x_se) 2025-08-14T21:53:02.4898138Z 2025-08-14T21:53:02.4898255Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4898500Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4898575Z return mod(*inputs) 2025-08-14T21:53:02.4898869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4898953Z x = self.forward_features(x) 2025-08-14T21:53:02.4899245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4899317Z x = self.blocks(x) 2025-08-14T21:53:02.4899599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4899667Z x = self.se(x) 2025-08-14T21:53:02.4899953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:53:02.4900029Z x_se = self.act1(x_se) 2025-08-14T21:53:02.4900042Z 2025-08-14T21:53:02.4900161Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4900423Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4900500Z return mod(*inputs) 2025-08-14T21:53:02.4900763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4900873Z x = self.forward_features(x) 2025-08-14T21:53:02.4901163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4901238Z x = self.blocks(x) 2025-08-14T21:53:02.4901520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4901588Z x = self.se(x) 2025-08-14T21:53:02.4901866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.4901947Z return x * self.gate(x_se) 2025-08-14T21:53:02.4901959Z 2025-08-14T21:53:02.4902077Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4902376Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4902459Z return mod(*inputs) 2025-08-14T21:53:02.4902793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4902873Z x = self.forward_features(x) 2025-08-14T21:53:02.4903161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4903237Z x = self.blocks(x) 2025-08-14T21:53:02.4903516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4903582Z x = self.se(x) 2025-08-14T21:53:02.4903861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.4903941Z return x * self.gate(x_se) 2025-08-14T21:53:02.4903953Z 2025-08-14T21:53:02.4904079Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4904342Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4904418Z return mod(*inputs) 2025-08-14T21:53:02.4904682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4904762Z x = self.forward_features(x) 2025-08-14T21:53:02.4905054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4905125Z x = self.blocks(x) 2025-08-14T21:53:02.4905404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4905479Z x = self.se(x) 2025-08-14T21:53:02.4905755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.4905835Z return x * self.gate(x_se) 2025-08-14T21:53:02.4905872Z 2025-08-14T21:53:02.4905966Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4906086Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4906332Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4906405Z return mod(*inputs) 2025-08-14T21:53:02.4906665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4906747Z x = self.forward_features(x) 2025-08-14T21:53:02.4907107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4907179Z x = self.blocks(x) 2025-08-14T21:53:02.4907462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4907537Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4907818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4907946Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4908246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4908369Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4908381Z 2025-08-14T21:53:02.4908500Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4908738Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4908815Z return mod(*inputs) 2025-08-14T21:53:02.4909074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4909156Z x = self.forward_features(x) 2025-08-14T21:53:02.4909445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4909519Z x = self.blocks(x) 2025-08-14T21:53:02.4909805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4909881Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4910138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4910256Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4910524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4910645Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4910657Z 2025-08-14T21:53:02.4910745Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4910862Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4911107Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4911181Z return mod(*inputs) 2025-08-14T21:53:02.4911471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4911552Z x = self.forward_features(x) 2025-08-14T21:53:02.4911842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4911919Z x = self.blocks(x) 2025-08-14T21:53:02.4912199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4912274Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4912534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4912651Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4912925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4913068Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4913082Z 2025-08-14T21:53:02.4913200Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4913444Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4913517Z return mod(*inputs) 2025-08-14T21:53:02.4913775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4913857Z x = self.forward_features(x) 2025-08-14T21:53:02.4914147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4914220Z x = self.blocks(x) 2025-08-14T21:53:02.4914502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4914607Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4914875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4915015Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4915283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4915398Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4915410Z 2025-08-14T21:53:02.4915499Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4915591Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4915708Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4915949Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4916026Z return mod(*inputs) 2025-08-14T21:53:02.4916290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4916375Z x = self.forward_features(x) 2025-08-14T21:53:02.4916669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4916763Z x = self.blocks(x) 2025-08-14T21:53:02.4917082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.4921385Z x = self.conv_pwl(x) 2025-08-14T21:53:02.4921641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.4921725Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.4921737Z 2025-08-14T21:53:02.4921855Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4922102Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4922174Z return mod(*inputs) 2025-08-14T21:53:02.4922436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4922548Z x = self.forward_features(x) 2025-08-14T21:53:02.4922842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4922913Z x = self.blocks(x) 2025-08-14T21:53:02.4923199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:53:02.4923282Z x = self.drop_path(x) + shortcut 2025-08-14T21:53:02.4923295Z 2025-08-14T21:53:02.4923415Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4923654Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4923726Z return mod(*inputs) 2025-08-14T21:53:02.4923987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4924069Z x = self.forward_features(x) 2025-08-14T21:53:02.4924389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4924462Z x = self.blocks(x) 2025-08-14T21:53:02.4924746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4924828Z x = self.conv_pw(x) 2025-08-14T21:53:02.4925084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4925212Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4925639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4925760Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4925772Z 2025-08-14T21:53:02.4925895Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4926159Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4926237Z return mod(*inputs) 2025-08-14T21:53:02.4926525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4926604Z x = self.forward_features(x) 2025-08-14T21:53:02.4926893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4936530Z x = self.blocks(x) 2025-08-14T21:53:02.4936927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4937009Z x = self.conv_pw(x) 2025-08-14T21:53:02.4937291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4937428Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4937721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4937856Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4937872Z 2025-08-14T21:53:02.4938003Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4938268Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4938346Z return mod(*inputs) 2025-08-14T21:53:02.4938623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4938714Z x = self.forward_features(x) 2025-08-14T21:53:02.4939016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4939093Z x = self.blocks(x) 2025-08-14T21:53:02.4939386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4939465Z x = self.conv_pw(x) 2025-08-14T21:53:02.4939800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4939928Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4940201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4940323Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4940336Z 2025-08-14T21:53:02.4940459Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4940714Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4940790Z return mod(*inputs) 2025-08-14T21:53:02.4941054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4941144Z x = self.forward_features(x) 2025-08-14T21:53:02.4941470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4941546Z x = self.blocks(x) 2025-08-14T21:53:02.4941832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4941906Z x = self.conv_pw(x) 2025-08-14T21:53:02.4942167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4942288Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4942557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4942678Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4942691Z 2025-08-14T21:53:02.4942787Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4942900Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4943031Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4943282Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4943385Z return mod(*inputs) 2025-08-14T21:53:02.4943654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4943737Z x = self.forward_features(x) 2025-08-14T21:53:02.4944033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4944107Z x = self.blocks(x) 2025-08-14T21:53:02.4944389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-08-14T21:53:02.4944466Z x = self.conv_pw(x) 2025-08-14T21:53:02.4944720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.4944804Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.4944819Z 2025-08-14T21:53:02.4944943Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4945190Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4945269Z return mod(*inputs) 2025-08-14T21:53:02.4945535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4945618Z x = self.forward_features(x) 2025-08-14T21:53:02.4945986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4946060Z x = self.blocks(x) 2025-08-14T21:53:02.4950627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:53:02.4950701Z x = self.bn1(x) 2025-08-14T21:53:02.4950954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-08-14T21:53:02.4951032Z x = F.batch_norm( 2025-08-14T21:53:02.4951080Z 2025-08-14T21:53:02.4951203Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4951451Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4951526Z return mod(*inputs) 2025-08-14T21:53:02.4951787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4951872Z x = self.forward_features(x) 2025-08-14T21:53:02.4952162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4952236Z x = self.blocks(x) 2025-08-14T21:53:02.4952526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:53:02.4952596Z x = self.bn1(x) 2025-08-14T21:53:02.4952851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:53:02.4952945Z x = self.act(x) 2025-08-14T21:53:02.4952960Z 2025-08-14T21:53:02.4953053Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4953177Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4953788Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4953865Z return mod(*inputs) 2025-08-14T21:53:02.4954135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4954216Z x = self.forward_features(x) 2025-08-14T21:53:02.4954511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4954583Z x = self.blocks(x) 2025-08-14T21:53:02.4954934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4955015Z x = self.conv_dw(x) 2025-08-14T21:53:02.4955277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4955432Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4955704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4955823Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4955836Z 2025-08-14T21:53:02.4955958Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4956198Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4956272Z return mod(*inputs) 2025-08-14T21:53:02.4956540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4956623Z x = self.forward_features(x) 2025-08-14T21:53:02.4956919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4956994Z x = self.blocks(x) 2025-08-14T21:53:02.4957275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4957351Z x = self.conv_dw(x) 2025-08-14T21:53:02.4957608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4957726Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4957998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4958116Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4958129Z 2025-08-14T21:53:02.4958223Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4958344Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4958619Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4958700Z return mod(*inputs) 2025-08-14T21:53:02.4958965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4959046Z x = self.forward_features(x) 2025-08-14T21:53:02.4959343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4959416Z x = self.blocks(x) 2025-08-14T21:53:02.4959702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4959775Z x = self.conv_dw(x) 2025-08-14T21:53:02.4960036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4960160Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4960527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4960728Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4960746Z 2025-08-14T21:53:02.4960870Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4961113Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4961191Z return mod(*inputs) 2025-08-14T21:53:02.4961454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4961535Z x = self.forward_features(x) 2025-08-14T21:53:02.4961831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4961903Z x = self.blocks(x) 2025-08-14T21:53:02.4962214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4962292Z x = self.conv_dw(x) 2025-08-14T21:53:02.4962569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4962689Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4962957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4963071Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4963084Z 2025-08-14T21:53:02.4963180Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4963299Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4963548Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4963622Z return mod(*inputs) 2025-08-14T21:53:02.4963885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4963972Z x = self.forward_features(x) 2025-08-14T21:53:02.4964267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4964339Z x = self.blocks(x) 2025-08-14T21:53:02.4964626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4964699Z x = self.conv_dw(x) 2025-08-14T21:53:02.4964960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4965077Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4965344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4965463Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4965477Z 2025-08-14T21:53:02.4965597Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4965865Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4965940Z return mod(*inputs) 2025-08-14T21:53:02.4966207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4966288Z x = self.forward_features(x) 2025-08-14T21:53:02.4966584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4966655Z x = self.blocks(x) 2025-08-14T21:53:02.4966938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4967015Z x = self.conv_dw(x) 2025-08-14T21:53:02.4967272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4967391Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4967686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4967803Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4967816Z 2025-08-14T21:53:02.4967908Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4968027Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4968272Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4968350Z return mod(*inputs) 2025-08-14T21:53:02.4968610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4968691Z x = self.forward_features(x) 2025-08-14T21:53:02.4969008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4969083Z x = self.blocks(x) 2025-08-14T21:53:02.4969366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4969463Z x = self.conv_dw(x) 2025-08-14T21:53:02.4969717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4969840Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4970105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4970227Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4970239Z 2025-08-14T21:53:02.4970357Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4970599Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4970676Z return mod(*inputs) 2025-08-14T21:53:02.4970939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4971024Z x = self.forward_features(x) 2025-08-14T21:53:02.4971319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4971391Z x = self.blocks(x) 2025-08-14T21:53:02.4971676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4971750Z x = self.conv_dw(x) 2025-08-14T21:53:02.4972006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.4972126Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4972390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.4972507Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.4972525Z 2025-08-14T21:53:02.4972636Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4972728Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4972820Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4972906Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4973025Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4973268Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4973341Z return mod(*inputs) 2025-08-14T21:53:02.4973603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4973687Z x = self.forward_features(x) 2025-08-14T21:53:02.4973980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4974058Z x = self.blocks(x) 2025-08-14T21:53:02.4974343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.4974439Z x = self.conv_dw(x) 2025-08-14T21:53:02.4974703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.4974821Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.4974836Z 2025-08-14T21:53:02.4974936Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.4975060Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4979453Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4979533Z return mod(*inputs) 2025-08-14T21:53:02.4979797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4979878Z x = self.forward_features(x) 2025-08-14T21:53:02.4980206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4980281Z x = self.blocks(x) 2025-08-14T21:53:02.4980589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4980662Z x = self.se(x) 2025-08-14T21:53:02.4980945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:53:02.4981412Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:53:02.4981578Z 2025-08-14T21:53:02.4981706Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4982140Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4982539Z return mod(*inputs) 2025-08-14T21:53:02.4982979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4983402Z x = self.forward_features(x) 2025-08-14T21:53:02.4983831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4984277Z x = self.blocks(x) 2025-08-14T21:53:02.4984677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4985096Z x = self.se(x) 2025-08-14T21:53:02.4985481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:53:02.4985908Z x_se = self.act1(x_se) 2025-08-14T21:53:02.4986039Z 2025-08-14T21:53:02.4986167Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4986598Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4987058Z return mod(*inputs) 2025-08-14T21:53:02.4987441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4987883Z x = self.forward_features(x) 2025-08-14T21:53:02.4988340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4988774Z x = self.blocks(x) 2025-08-14T21:53:02.4989167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4989704Z x = self.se(x) 2025-08-14T21:53:02.4990085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:53:02.4990509Z x_se = self.act1(x_se) 2025-08-14T21:53:02.4990636Z 2025-08-14T21:53:02.4990759Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4991188Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4991624Z return mod(*inputs) 2025-08-14T21:53:02.4992006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4992459Z x = self.forward_features(x) 2025-08-14T21:53:02.4992885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4993316Z x = self.blocks(x) 2025-08-14T21:53:02.4993704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4994121Z x = self.se(x) 2025-08-14T21:53:02.4994497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.4994925Z return x * self.gate(x_se) 2025-08-14T21:53:02.4995064Z 2025-08-14T21:53:02.4995185Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.4995615Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.4996002Z return mod(*inputs) 2025-08-14T21:53:02.4996403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.4996837Z x = self.forward_features(x) 2025-08-14T21:53:02.4997266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.4997699Z x = self.blocks(x) 2025-08-14T21:53:02.4998086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.4998506Z x = self.se(x) 2025-08-14T21:53:02.4998883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.4999310Z return x * self.gate(x_se) 2025-08-14T21:53:02.4999447Z 2025-08-14T21:53:02.4999572Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5000003Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5000390Z return mod(*inputs) 2025-08-14T21:53:02.5000764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5001178Z x = self.forward_features(x) 2025-08-14T21:53:02.5001605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5002031Z x = self.blocks(x) 2025-08-14T21:53:02.5002419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.5002840Z x = self.se(x) 2025-08-14T21:53:02.5003216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.5003634Z return x * self.gate(x_se) 2025-08-14T21:53:02.5003807Z 2025-08-14T21:53:02.5003918Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.5012771Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5013379Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5013886Z return mod(*inputs) 2025-08-14T21:53:02.5014376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5014925Z x = self.forward_features(x) 2025-08-14T21:53:02.5015404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5015835Z x = self.blocks(x) 2025-08-14T21:53:02.5016226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.5016648Z x = self.conv_pwl(x) 2025-08-14T21:53:02.5017022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5017490Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5017977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5018497Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5020675Z 2025-08-14T21:53:02.5020798Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5021230Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5021614Z return mod(*inputs) 2025-08-14T21:53:02.5021988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5022419Z x = self.forward_features(x) 2025-08-14T21:53:02.5022880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5023315Z x = self.blocks(x) 2025-08-14T21:53:02.5023732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.5024165Z x = self.conv_pwl(x) 2025-08-14T21:53:02.5024566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5025020Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5025479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5025938Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5026130Z 2025-08-14T21:53:02.5026223Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.5026499Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5027002Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5027385Z return mod(*inputs) 2025-08-14T21:53:02.5027765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5028185Z x = self.forward_features(x) 2025-08-14T21:53:02.5028619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5029046Z x = self.blocks(x) 2025-08-14T21:53:02.5029440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.5029866Z x = self.conv_pwl(x) 2025-08-14T21:53:02.5030239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5030690Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5031149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5031603Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5031796Z 2025-08-14T21:53:02.5031924Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5032389Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5032815Z return mod(*inputs) 2025-08-14T21:53:02.5033276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5033693Z x = self.forward_features(x) 2025-08-14T21:53:02.5034122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5034553Z x = self.blocks(x) 2025-08-14T21:53:02.5034943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.5035369Z x = self.conv_pwl(x) 2025-08-14T21:53:02.5035747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5036198Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5036687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5037148Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5037343Z 2025-08-14T21:53:02.5037440Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.5037682Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.5037960Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5038386Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5038771Z return mod(*inputs) 2025-08-14T21:53:02.5039149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5039563Z x = self.forward_features(x) 2025-08-14T21:53:02.5040008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5040435Z x = self.blocks(x) 2025-08-14T21:53:02.5040829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.5041275Z x = self.conv_pwl(x) 2025-08-14T21:53:02.5041647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.5042055Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.5042189Z 2025-08-14T21:53:02.5042310Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5042740Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5043121Z return mod(*inputs) 2025-08-14T21:53:02.5043498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5043909Z x = self.forward_features(x) 2025-08-14T21:53:02.5044336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5044772Z x = self.blocks(x) 2025-08-14T21:53:02.5045166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:53:02.5045600Z x = self.drop_path(x) + shortcut 2025-08-14T21:53:02.5045751Z 2025-08-14T21:53:02.5045874Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5046300Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5046686Z return mod(*inputs) 2025-08-14T21:53:02.5047054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5047525Z x = self.forward_features(x) 2025-08-14T21:53:02.5052189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5052625Z x = self.blocks(x) 2025-08-14T21:53:02.5053040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:53:02.5053787Z x = self.bn1(x) 2025-08-14T21:53:02.5054144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:53:02.5054528Z x = self.act(x) 2025-08-14T21:53:02.5054640Z 2025-08-14T21:53:02.5054761Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5055187Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5055576Z return mod(*inputs) 2025-08-14T21:53:02.5055949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5056363Z x = self.forward_features(x) 2025-08-14T21:53:02.5056795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5057281Z x = self.blocks(x) 2025-08-14T21:53:02.5057672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:53:02.5058097Z x = self.bn1(x) 2025-08-14T21:53:02.5058445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:53:02.5058823Z x = self.act(x) 2025-08-14T21:53:02.5058935Z 2025-08-14T21:53:02.5059057Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5059484Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5059866Z return mod(*inputs) 2025-08-14T21:53:02.5060240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5060651Z x = self.forward_features(x) 2025-08-14T21:53:02.5061111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5061546Z x = self.blocks(x) 2025-08-14T21:53:02.5062029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.5062522Z x = self.conv_dw(x) 2025-08-14T21:53:02.5062886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5063335Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5063798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5064260Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5064698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.5065097Z return conv2d_same( 2025-08-14T21:53:02.5065483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:53:02.5065940Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:53:02.5066370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:53:02.5066936Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:53:02.5067417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:53:02.5067839Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:53:02.5068029Z 2025-08-14T21:53:02.5068152Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5068579Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5068970Z return mod(*inputs) 2025-08-14T21:53:02.5069346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5069809Z x = self.forward_features(x) 2025-08-14T21:53:02.5070241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5070673Z x = self.blocks(x) 2025-08-14T21:53:02.5071068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.5071496Z x = self.conv_dw(x) 2025-08-14T21:53:02.5071864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5072308Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5072766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5073224Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5073671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.5074092Z return conv2d_same( 2025-08-14T21:53:02.5074472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:53:02.5074965Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:53:02.5075192Z 2025-08-14T21:53:02.5075319Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5075751Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5076137Z return mod(*inputs) 2025-08-14T21:53:02.5076572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5081168Z x = self.forward_features(x) 2025-08-14T21:53:02.5081628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5082068Z x = self.blocks(x) 2025-08-14T21:53:02.5082458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.5082908Z x = self.conv_dw(x) 2025-08-14T21:53:02.5083271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5083718Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5084167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5084626Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5085075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.5085468Z return conv2d_same( 2025-08-14T21:53:02.5085845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:53:02.5086340Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:53:02.5086566Z 2025-08-14T21:53:02.5086693Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5087119Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5087508Z return mod(*inputs) 2025-08-14T21:53:02.5087882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5088297Z x = self.forward_features(x) 2025-08-14T21:53:02.5088717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5089151Z x = self.blocks(x) 2025-08-14T21:53:02.5089546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.5089970Z x = self.conv_dw(x) 2025-08-14T21:53:02.5090368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5090874Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5091407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5091869Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5092325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.5092730Z return conv2d_same( 2025-08-14T21:53:02.5093103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:53:02.5093562Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:53:02.5093994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:53:02.5094516Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:53:02.5094994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:53:02.5095428Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:53:02.5095618Z 2025-08-14T21:53:02.5095747Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5096178Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5096564Z return mod(*inputs) 2025-08-14T21:53:02.5096952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5097370Z x = self.forward_features(x) 2025-08-14T21:53:02.5097795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5098264Z x = self.blocks(x) 2025-08-14T21:53:02.5098665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.5099116Z x = self.conv_dw(x) 2025-08-14T21:53:02.5099485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5099941Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5100405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5100860Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5101308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.5101715Z return conv2d_same( 2025-08-14T21:53:02.5102102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:53:02.5102599Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:53:02.5102833Z 2025-08-14T21:53:02.5102961Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5103394Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5103777Z return mod(*inputs) 2025-08-14T21:53:02.5104163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5104582Z x = self.forward_features(x) 2025-08-14T21:53:02.5105020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5105517Z x = self.blocks(x) 2025-08-14T21:53:02.5110158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.5110591Z x = self.conv_dw(x) 2025-08-14T21:53:02.5110993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5111456Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5111915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5112376Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5112815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.5113214Z return conv2d_same( 2025-08-14T21:53:02.5113589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:53:02.5114076Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:53:02.5114301Z 2025-08-14T21:53:02.5114423Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5114859Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5115273Z return mod(*inputs) 2025-08-14T21:53:02.5115649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5116068Z x = self.forward_features(x) 2025-08-14T21:53:02.5116493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5116929Z x = self.blocks(x) 2025-08-14T21:53:02.5117324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.5117748Z x = self.conv_dw(x) 2025-08-14T21:53:02.5118116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5118562Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5119064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5119530Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5120057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.5120525Z return conv2d_same( 2025-08-14T21:53:02.5120903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:53:02.5121358Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:53:02.5121786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:53:02.5122272Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:53:02.5122741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:53:02.5123168Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:53:02.5123360Z 2025-08-14T21:53:02.5123485Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5123918Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5124308Z return mod(*inputs) 2025-08-14T21:53:02.5124687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5125098Z x = self.forward_features(x) 2025-08-14T21:53:02.5125526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5125965Z x = self.blocks(x) 2025-08-14T21:53:02.5126358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.5126785Z x = self.conv_dw(x) 2025-08-14T21:53:02.5127160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5127637Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5128093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5128545Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5128991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.5129384Z return conv2d_same( 2025-08-14T21:53:02.5129764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:53:02.5130252Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:53:02.5130473Z 2025-08-14T21:53:02.5130599Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5131027Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5131465Z return mod(*inputs) 2025-08-14T21:53:02.5131843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5132260Z x = self.forward_features(x) 2025-08-14T21:53:02.5132691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5133126Z x = self.blocks(x) 2025-08-14T21:53:02.5133521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.5133943Z x = self.conv_dw(x) 2025-08-14T21:53:02.5134358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5139046Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5139534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5139996Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5140479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.5140875Z return conv2d_same( 2025-08-14T21:53:02.5141246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:53:02.5141736Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:53:02.5141962Z 2025-08-14T21:53:02.5142089Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5142518Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5142957Z return mod(*inputs) 2025-08-14T21:53:02.5143333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5143752Z x = self.forward_features(x) 2025-08-14T21:53:02.5144181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5144619Z x = self.blocks(x) 2025-08-14T21:53:02.5145013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.5145436Z x = self.conv_dw(x) 2025-08-14T21:53:02.5145798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5146242Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5146696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5147222Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5147669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.5148074Z return conv2d_same( 2025-08-14T21:53:02.5148477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-08-14T21:53:02.5148984Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-08-14T21:53:02.5149487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-08-14T21:53:02.5149973Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-08-14T21:53:02.5150445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-08-14T21:53:02.5150904Z return torch._C._nn.pad(input, pad, mode, value) 2025-08-14T21:53:02.5151097Z 2025-08-14T21:53:02.5151220Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5151651Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5152040Z return mod(*inputs) 2025-08-14T21:53:02.5152444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5152865Z x = self.forward_features(x) 2025-08-14T21:53:02.5153626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5154084Z x = self.blocks(x) 2025-08-14T21:53:02.5154480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.5154908Z x = self.conv_dw(x) 2025-08-14T21:53:02.5155275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5155726Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5156185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5156703Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5157151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.5157588Z return conv2d_same( 2025-08-14T21:53:02.5157966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:53:02.5158449Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:53:02.5158674Z 2025-08-14T21:53:02.5158795Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5159222Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5159609Z return mod(*inputs) 2025-08-14T21:53:02.5159981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5160401Z x = self.forward_features(x) 2025-08-14T21:53:02.5160841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5161282Z x = self.blocks(x) 2025-08-14T21:53:02.5161671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.5162099Z x = self.conv_dw(x) 2025-08-14T21:53:02.5162467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5162909Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5163424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5172288Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5172876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-08-14T21:53:02.5173395Z return conv2d_same( 2025-08-14T21:53:02.5173939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-08-14T21:53:02.5174601Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-08-14T21:53:02.5174901Z 2025-08-14T21:53:02.5175005Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.5175253Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.5175490Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.5175721Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.5175984Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5176418Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5176806Z return mod(*inputs) 2025-08-14T21:53:02.5177180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5177598Z x = self.forward_features(x) 2025-08-14T21:53:02.5178079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5180740Z x = self.blocks(x) 2025-08-14T21:53:02.5181134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.5181561Z x = self.conv_dw(x) 2025-08-14T21:53:02.5181982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.5182386Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.5182522Z 2025-08-14T21:53:02.5182614Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.5182888Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5183311Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5183706Z return mod(*inputs) 2025-08-14T21:53:02.5184110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5184533Z x = self.forward_features(x) 2025-08-14T21:53:02.5184977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5185412Z x = self.blocks(x) 2025-08-14T21:53:02.5185806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.5186223Z x = self.se(x) 2025-08-14T21:53:02.5186609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:53:02.5187113Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:53:02.5187269Z 2025-08-14T21:53:02.5187396Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5187820Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5188216Z return mod(*inputs) 2025-08-14T21:53:02.5188596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5189014Z x = self.forward_features(x) 2025-08-14T21:53:02.5189439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5189874Z x = self.blocks(x) 2025-08-14T21:53:02.5190269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.5190685Z x = self.se(x) 2025-08-14T21:53:02.5191069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:53:02.5191496Z x_se = self.act1(x_se) 2025-08-14T21:53:02.5191624Z 2025-08-14T21:53:02.5191748Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5192182Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5192701Z return mod(*inputs) 2025-08-14T21:53:02.5193110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5193524Z x = self.forward_features(x) 2025-08-14T21:53:02.5193953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5194388Z x = self.blocks(x) 2025-08-14T21:53:02.5194784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.5195197Z x = self.se(x) 2025-08-14T21:53:02.5195579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:53:02.5196010Z x_se = self.act1(x_se) 2025-08-14T21:53:02.5196142Z 2025-08-14T21:53:02.5196265Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5196698Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5197106Z return mod(*inputs) 2025-08-14T21:53:02.5197490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5197902Z x = self.forward_features(x) 2025-08-14T21:53:02.5198331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5198763Z x = self.blocks(x) 2025-08-14T21:53:02.5199151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.5199569Z x = self.se(x) 2025-08-14T21:53:02.5199954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.5200378Z return x * self.gate(x_se) 2025-08-14T21:53:02.5200517Z 2025-08-14T21:53:02.5200663Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5201097Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5201513Z return mod(*inputs) 2025-08-14T21:53:02.5201889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5202305Z x = self.forward_features(x) 2025-08-14T21:53:02.5202735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5203169Z x = self.blocks(x) 2025-08-14T21:53:02.5203558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.5203979Z x = self.se(x) 2025-08-14T21:53:02.5204360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.5204784Z return x * self.gate(x_se) 2025-08-14T21:53:02.5204929Z 2025-08-14T21:53:02.5205054Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5205486Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5205876Z return mod(*inputs) 2025-08-14T21:53:02.5206247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5206662Z x = self.forward_features(x) 2025-08-14T21:53:02.5211379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5211817Z x = self.blocks(x) 2025-08-14T21:53:02.5212215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.5212637Z x = self.se(x) 2025-08-14T21:53:02.5213017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.5213442Z return x * self.gate(x_se) 2025-08-14T21:53:02.5213587Z 2025-08-14T21:53:02.5213737Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5214170Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5214557Z return mod(*inputs) 2025-08-14T21:53:02.5214933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5215352Z x = self.forward_features(x) 2025-08-14T21:53:02.5215783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5216209Z x = self.blocks(x) 2025-08-14T21:53:02.5216602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.5217032Z x = self.conv_pwl(x) 2025-08-14T21:53:02.5217159Z 2025-08-14T21:53:02.5217283Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5217735Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5218123Z return mod(*inputs) 2025-08-14T21:53:02.5218500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5218909Z x = self.forward_features(x) 2025-08-14T21:53:02.5219334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5219770Z x = self.blocks(x) 2025-08-14T21:53:02.5220157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.5220585Z x = self.conv_pwl(x) 2025-08-14T21:53:02.5220713Z 2025-08-14T21:53:02.5220833Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5221344Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5221800Z return mod(*inputs) 2025-08-14T21:53:02.5222177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5222614Z x = self.forward_features(x) 2025-08-14T21:53:02.5223035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5223465Z x = self.blocks(x) 2025-08-14T21:53:02.5223855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:53:02.5224276Z x = self.bn1(x) 2025-08-14T21:53:02.5224622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:53:02.5225012Z x = self.act(x) 2025-08-14T21:53:02.5225118Z 2025-08-14T21:53:02.5225241Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5225672Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5226056Z return mod(*inputs) 2025-08-14T21:53:02.5226440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5226922Z x = self.forward_features(x) 2025-08-14T21:53:02.5227343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5227774Z x = self.blocks(x) 2025-08-14T21:53:02.5228171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:53:02.5228594Z x = self.bn1(x) 2025-08-14T21:53:02.5228941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:53:02.5229332Z x = self.act(x) 2025-08-14T21:53:02.5229440Z 2025-08-14T21:53:02.5229568Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5230025Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5230415Z return mod(*inputs) 2025-08-14T21:53:02.5230792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5231205Z x = self.forward_features(x) 2025-08-14T21:53:02.5231500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5231576Z x = self.blocks(x) 2025-08-14T21:53:02.5231862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.5231941Z x = self.conv_dw(x) 2025-08-14T21:53:02.5232207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5232342Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5232616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5232769Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5232781Z 2025-08-14T21:53:02.5232901Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5233144Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5233224Z return mod(*inputs) 2025-08-14T21:53:02.5233485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5233566Z x = self.forward_features(x) 2025-08-14T21:53:02.5233862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5233934Z x = self.blocks(x) 2025-08-14T21:53:02.5234240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.5234316Z x = self.conv_dw(x) 2025-08-14T21:53:02.5234579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5234726Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5234999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5235119Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5235135Z 2025-08-14T21:53:02.5235256Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5235499Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5235578Z return mod(*inputs) 2025-08-14T21:53:02.5235896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5235981Z x = self.forward_features(x) 2025-08-14T21:53:02.5240519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5240600Z x = self.blocks(x) 2025-08-14T21:53:02.5240888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.5240962Z x = self.conv_dw(x) 2025-08-14T21:53:02.5241219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5241346Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5241618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5241737Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5241750Z 2025-08-14T21:53:02.5241875Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5242119Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5242227Z return mod(*inputs) 2025-08-14T21:53:02.5242492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5242575Z x = self.forward_features(x) 2025-08-14T21:53:02.5242870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5242945Z x = self.blocks(x) 2025-08-14T21:53:02.5243225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.5243303Z x = self.conv_dw(x) 2025-08-14T21:53:02.5243561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5243684Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5243959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5244101Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5244114Z 2025-08-14T21:53:02.5244239Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5244481Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5244561Z return mod(*inputs) 2025-08-14T21:53:02.5244825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5244908Z x = self.forward_features(x) 2025-08-14T21:53:02.5245203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5245278Z x = self.blocks(x) 2025-08-14T21:53:02.5245587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.5245672Z x = self.conv_dw(x) 2025-08-14T21:53:02.5245934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5246085Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5246355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5246476Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5246488Z 2025-08-14T21:53:02.5246614Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5246859Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5246935Z return mod(*inputs) 2025-08-14T21:53:02.5247204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5247290Z x = self.forward_features(x) 2025-08-14T21:53:02.5247589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5247664Z x = self.blocks(x) 2025-08-14T21:53:02.5247948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.5248027Z x = self.conv_dw(x) 2025-08-14T21:53:02.5248288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5248416Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5248688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5248809Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5248821Z 2025-08-14T21:53:02.5248948Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5249196Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5249293Z return mod(*inputs) 2025-08-14T21:53:02.5249566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5249648Z x = self.forward_features(x) 2025-08-14T21:53:02.5249942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5250015Z x = self.blocks(x) 2025-08-14T21:53:02.5250346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.5250426Z x = self.conv_dw(x) 2025-08-14T21:53:02.5250748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5250868Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5251141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5251286Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5251300Z 2025-08-14T21:53:02.5251424Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5251669Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5251743Z return mod(*inputs) 2025-08-14T21:53:02.5252008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5252089Z x = self.forward_features(x) 2025-08-14T21:53:02.5252383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5252455Z x = self.blocks(x) 2025-08-14T21:53:02.5252756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.5252839Z x = self.conv_dw(x) 2025-08-14T21:53:02.5253096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5253238Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5253826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5253947Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5253960Z 2025-08-14T21:53:02.5254060Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.5254154Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.5254244Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.5254336Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.5254460Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5254710Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5254794Z return mod(*inputs) 2025-08-14T21:53:02.5255060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5255147Z x = self.forward_features(x) 2025-08-14T21:53:02.5255439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5255515Z x = self.blocks(x) 2025-08-14T21:53:02.5255807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.5255884Z x = self.conv_dw(x) 2025-08-14T21:53:02.5256142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.5256226Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.5256239Z 2025-08-14T21:53:02.5256328Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.5256453Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5256748Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5256824Z return mod(*inputs) 2025-08-14T21:53:02.5257089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5257172Z x = self.forward_features(x) 2025-08-14T21:53:02.5257468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5257545Z x = self.blocks(x) 2025-08-14T21:53:02.5257826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.5257903Z x = self.se(x) 2025-08-14T21:53:02.5258184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:53:02.5258272Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:53:02.5258286Z 2025-08-14T21:53:02.5258455Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5258698Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5258774Z return mod(*inputs) 2025-08-14T21:53:02.5259042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5259124Z x = self.forward_features(x) 2025-08-14T21:53:02.5259416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5259488Z x = self.blocks(x) 2025-08-14T21:53:02.5259773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.5259846Z x = self.se(x) 2025-08-14T21:53:02.5260155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:53:02.5260237Z x_se = self.act1(x_se) 2025-08-14T21:53:02.5260254Z 2025-08-14T21:53:02.5260373Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5260645Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5260727Z return mod(*inputs) 2025-08-14T21:53:02.5260987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5261069Z x = self.forward_features(x) 2025-08-14T21:53:02.5261370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5261444Z x = self.blocks(x) 2025-08-14T21:53:02.5261732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.5261802Z x = self.se(x) 2025-08-14T21:53:02.5262082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:53:02.5262171Z x_se = self.act1(x_se) 2025-08-14T21:53:02.5262186Z 2025-08-14T21:53:02.5262304Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5262544Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5262624Z return mod(*inputs) 2025-08-14T21:53:02.5262885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5262970Z x = self.forward_features(x) 2025-08-14T21:53:02.5263260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5263333Z x = self.blocks(x) 2025-08-14T21:53:02.5263619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.5263689Z x = self.se(x) 2025-08-14T21:53:02.5263999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.5264089Z return x * self.gate(x_se) 2025-08-14T21:53:02.5264101Z 2025-08-14T21:53:02.5264218Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5264460Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5264532Z return mod(*inputs) 2025-08-14T21:53:02.5264849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5264938Z x = self.forward_features(x) 2025-08-14T21:53:02.5274028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5274162Z x = self.blocks(x) 2025-08-14T21:53:02.5274515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.5274662Z x = self.se(x) 2025-08-14T21:53:02.5274964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.5275054Z return x * self.gate(x_se) 2025-08-14T21:53:02.5275068Z 2025-08-14T21:53:02.5275193Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5275452Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5275529Z return mod(*inputs) 2025-08-14T21:53:02.5275803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5275894Z x = self.forward_features(x) 2025-08-14T21:53:02.5276193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5276275Z x = self.blocks(x) 2025-08-14T21:53:02.5276588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.5276665Z x = self.se(x) 2025-08-14T21:53:02.5276971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.5277051Z return x * self.gate(x_se) 2025-08-14T21:53:02.5277064Z 2025-08-14T21:53:02.5277163Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.5277294Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5277541Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5277623Z return mod(*inputs) 2025-08-14T21:53:02.5277890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5277975Z x = self.forward_features(x) 2025-08-14T21:53:02.5278278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5278354Z x = self.blocks(x) 2025-08-14T21:53:02.5278640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.5278727Z x = self.conv_pwl(x) 2025-08-14T21:53:02.5278987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5279129Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5279481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5279713Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5279727Z 2025-08-14T21:53:02.5279860Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5280110Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5280191Z return mod(*inputs) 2025-08-14T21:53:02.5280481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5280567Z x = self.forward_features(x) 2025-08-14T21:53:02.5280870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5280945Z x = self.blocks(x) 2025-08-14T21:53:02.5281230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.5281310Z x = self.conv_pwl(x) 2025-08-14T21:53:02.5281569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5281697Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5281969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5282093Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5282126Z 2025-08-14T21:53:02.5282226Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.5282349Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5282594Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5282671Z return mod(*inputs) 2025-08-14T21:53:02.5282933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5283022Z x = self.forward_features(x) 2025-08-14T21:53:02.5283316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5283388Z x = self.blocks(x) 2025-08-14T21:53:02.5283676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.5283753Z x = self.conv_pwl(x) 2025-08-14T21:53:02.5284037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5284189Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5284458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5284584Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5284597Z 2025-08-14T21:53:02.5284717Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5284961Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5285043Z return mod(*inputs) 2025-08-14T21:53:02.5285306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5285391Z x = self.forward_features(x) 2025-08-14T21:53:02.5285690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5285766Z x = self.blocks(x) 2025-08-14T21:53:02.5286051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.5286128Z x = self.conv_pwl(x) 2025-08-14T21:53:02.5286384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5286509Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5286777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5286900Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5286912Z 2025-08-14T21:53:02.5287004Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.5287095Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.5287222Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5287491Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5287570Z return mod(*inputs) 2025-08-14T21:53:02.5287839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5287920Z x = self.forward_features(x) 2025-08-14T21:53:02.5288216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5288288Z x = self.blocks(x) 2025-08-14T21:53:02.5288568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.5288651Z x = self.conv_pwl(x) 2025-08-14T21:53:02.5288907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.5288987Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.5289004Z 2025-08-14T21:53:02.5289149Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5289394Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5289473Z return mod(*inputs) 2025-08-14T21:53:02.5289735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5289817Z x = self.forward_features(x) 2025-08-14T21:53:02.5290113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5290185Z x = self.blocks(x) 2025-08-14T21:53:02.5290468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:53:02.5290554Z x = self.drop_path(x) + shortcut 2025-08-14T21:53:02.5290566Z 2025-08-14T21:53:02.5290684Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5290952Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5291031Z return mod(*inputs) 2025-08-14T21:53:02.5291318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5291406Z x = self.forward_features(x) 2025-08-14T21:53:02.5291701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5291780Z x = self.blocks(x) 2025-08-14T21:53:02.5292062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:53:02.5292134Z x = self.bn1(x) 2025-08-14T21:53:02.5292390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:53:02.5292462Z x = self.act(x) 2025-08-14T21:53:02.5292475Z 2025-08-14T21:53:02.5292596Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5292847Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5292922Z return mod(*inputs) 2025-08-14T21:53:02.5293192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5293272Z x = self.forward_features(x) 2025-08-14T21:53:02.5293564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5293643Z x = self.blocks(x) 2025-08-14T21:53:02.5293987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:53:02.5294060Z x = self.bn1(x) 2025-08-14T21:53:02.5302791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:53:02.5302867Z x = self.act(x) 2025-08-14T21:53:02.5302880Z 2025-08-14T21:53:02.5303027Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5303397Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5303480Z return mod(*inputs) 2025-08-14T21:53:02.5303835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5303922Z x = self.forward_features(x) 2025-08-14T21:53:02.5304310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5304391Z x = self.blocks(x) 2025-08-14T21:53:02.5304776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.5304861Z x = self.conv_dw(x) 2025-08-14T21:53:02.5305211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5305341Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5305644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5305769Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5305781Z 2025-08-14T21:53:02.5305903Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5306145Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5306222Z return mod(*inputs) 2025-08-14T21:53:02.5306491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5306572Z x = self.forward_features(x) 2025-08-14T21:53:02.5306932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5307010Z x = self.blocks(x) 2025-08-14T21:53:02.5307747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.5307829Z x = self.conv_dw(x) 2025-08-14T21:53:02.5308108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5308248Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5308556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5308754Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5308768Z 2025-08-14T21:53:02.5308888Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5309130Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5309208Z return mod(*inputs) 2025-08-14T21:53:02.5309475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5309562Z x = self.forward_features(x) 2025-08-14T21:53:02.5309855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5309931Z x = self.blocks(x) 2025-08-14T21:53:02.5310217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.5310292Z x = self.conv_dw(x) 2025-08-14T21:53:02.5310547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5310674Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5310940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5311061Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5311073Z 2025-08-14T21:53:02.5311193Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5311464Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5311546Z return mod(*inputs) 2025-08-14T21:53:02.5311809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5311893Z x = self.forward_features(x) 2025-08-14T21:53:02.5312185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5312258Z x = self.blocks(x) 2025-08-14T21:53:02.5312548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.5312620Z x = self.conv_dw(x) 2025-08-14T21:53:02.5312876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5313003Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5313292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5313420Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5313432Z 2025-08-14T21:53:02.5313551Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5313792Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5313868Z return mod(*inputs) 2025-08-14T21:53:02.5314134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5314220Z x = self.forward_features(x) 2025-08-14T21:53:02.5314557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5314653Z x = self.blocks(x) 2025-08-14T21:53:02.5314961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.5315038Z x = self.conv_dw(x) 2025-08-14T21:53:02.5315314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5315437Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5315702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5315819Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5315834Z 2025-08-14T21:53:02.5315954Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5316198Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5316277Z return mod(*inputs) 2025-08-14T21:53:02.5316544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5316629Z x = self.forward_features(x) 2025-08-14T21:53:02.5316926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5316999Z x = self.blocks(x) 2025-08-14T21:53:02.5317285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.5317357Z x = self.conv_dw(x) 2025-08-14T21:53:02.5317610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5317730Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5317994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5318111Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5318123Z 2025-08-14T21:53:02.5318245Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5318510Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5318594Z return mod(*inputs) 2025-08-14T21:53:02.5318855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5318938Z x = self.forward_features(x) 2025-08-14T21:53:02.5319233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5319307Z x = self.blocks(x) 2025-08-14T21:53:02.5319588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.5319667Z x = self.conv_dw(x) 2025-08-14T21:53:02.5319921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5320046Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5320341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5320461Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5320474Z 2025-08-14T21:53:02.5320597Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5320841Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5320920Z return mod(*inputs) 2025-08-14T21:53:02.5321185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5321274Z x = self.forward_features(x) 2025-08-14T21:53:02.5321575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5321651Z x = self.blocks(x) 2025-08-14T21:53:02.5321955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.5322038Z x = self.conv_dw(x) 2025-08-14T21:53:02.5322317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5322441Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5322708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5322887Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5322900Z 2025-08-14T21:53:02.5323000Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.5323092Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.5323255Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.5323346Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.5323465Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5323714Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5323792Z return mod(*inputs) 2025-08-14T21:53:02.5324057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5324144Z x = self.forward_features(x) 2025-08-14T21:53:02.5324440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5324517Z x = self.blocks(x) 2025-08-14T21:53:02.5324805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.5324879Z x = self.conv_dw(x) 2025-08-14T21:53:02.5325140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.5325219Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.5325232Z 2025-08-14T21:53:02.5325322Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.5325449Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5325715Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5325794Z return mod(*inputs) 2025-08-14T21:53:02.5326065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5326147Z x = self.forward_features(x) 2025-08-14T21:53:02.5326440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5326513Z x = self.blocks(x) 2025-08-14T21:53:02.5326796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.5326870Z x = self.se(x) 2025-08-14T21:53:02.5327152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:53:02.5327245Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:53:02.5327314Z 2025-08-14T21:53:02.5327436Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5327680Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5327760Z return mod(*inputs) 2025-08-14T21:53:02.5328022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5328104Z x = self.forward_features(x) 2025-08-14T21:53:02.5328401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5328475Z x = self.blocks(x) 2025-08-14T21:53:02.5328764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.5328834Z x = self.se(x) 2025-08-14T21:53:02.5329135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:53:02.5329222Z x_se = self.act1(x_se) 2025-08-14T21:53:02.5329275Z 2025-08-14T21:53:02.5329395Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5329636Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5329715Z return mod(*inputs) 2025-08-14T21:53:02.5329982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5330071Z x = self.forward_features(x) 2025-08-14T21:53:02.5330366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5330439Z x = self.blocks(x) 2025-08-14T21:53:02.5330723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.5330794Z x = self.se(x) 2025-08-14T21:53:02.5331076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:53:02.5331163Z x_se = self.act1(x_se) 2025-08-14T21:53:02.5331175Z 2025-08-14T21:53:02.5331298Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5331546Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5331620Z return mod(*inputs) 2025-08-14T21:53:02.5331884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5331971Z x = self.forward_features(x) 2025-08-14T21:53:02.5332263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5332336Z x = self.blocks(x) 2025-08-14T21:53:02.5332621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.5332694Z x = self.se(x) 2025-08-14T21:53:02.5332997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.5333083Z return x * self.gate(x_se) 2025-08-14T21:53:02.5333096Z 2025-08-14T21:53:02.5333213Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5333457Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5333531Z return mod(*inputs) 2025-08-14T21:53:02.5333794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5333878Z x = self.forward_features(x) 2025-08-14T21:53:02.5334169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5334245Z x = self.blocks(x) 2025-08-14T21:53:02.5334528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.5334628Z x = self.se(x) 2025-08-14T21:53:02.5334915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.5334995Z return x * self.gate(x_se) 2025-08-14T21:53:02.5335008Z 2025-08-14T21:53:02.5335130Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5335371Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5335445Z return mod(*inputs) 2025-08-14T21:53:02.5335710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5335790Z x = self.forward_features(x) 2025-08-14T21:53:02.5336079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5336157Z x = self.blocks(x) 2025-08-14T21:53:02.5336457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.5336551Z x = self.se(x) 2025-08-14T21:53:02.5336826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.5336906Z return x * self.gate(x_se) 2025-08-14T21:53:02.5336919Z 2025-08-14T21:53:02.5337013Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.5337130Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5337429Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5337507Z return mod(*inputs) 2025-08-14T21:53:02.5344067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5344156Z x = self.forward_features(x) 2025-08-14T21:53:02.5344451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5344527Z x = self.blocks(x) 2025-08-14T21:53:02.5344818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.5344894Z x = self.conv_pwl(x) 2025-08-14T21:53:02.5345148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5345276Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5345545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5345672Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5345684Z 2025-08-14T21:53:02.5345801Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5346046Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5346126Z return mod(*inputs) 2025-08-14T21:53:02.5346414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5346501Z x = self.forward_features(x) 2025-08-14T21:53:02.5346847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5346938Z x = self.blocks(x) 2025-08-14T21:53:02.5347223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.5347299Z x = self.conv_pwl(x) 2025-08-14T21:53:02.5347555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5347680Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5347953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5348097Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5348112Z 2025-08-14T21:53:02.5348205Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.5348323Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5348568Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5348643Z return mod(*inputs) 2025-08-14T21:53:02.5348904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5348989Z x = self.forward_features(x) 2025-08-14T21:53:02.5349281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5349361Z x = self.blocks(x) 2025-08-14T21:53:02.5349642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.5349741Z x = self.conv_pwl(x) 2025-08-14T21:53:02.5350011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5350151Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5350418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5350542Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5350554Z 2025-08-14T21:53:02.5350673Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5350922Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5350995Z return mod(*inputs) 2025-08-14T21:53:02.5351255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5351340Z x = self.forward_features(x) 2025-08-14T21:53:02.5351634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5351719Z x = self.blocks(x) 2025-08-14T21:53:02.5352053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.5352194Z x = self.conv_pwl(x) 2025-08-14T21:53:02.5352457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5352579Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5352846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5352974Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5352986Z 2025-08-14T21:53:02.5353078Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.5353171Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.5353618Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5353964Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5354050Z return mod(*inputs) 2025-08-14T21:53:02.5354314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5354395Z x = self.forward_features(x) 2025-08-14T21:53:02.5354688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5354762Z x = self.blocks(x) 2025-08-14T21:53:02.5355057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.5355134Z x = self.conv_pwl(x) 2025-08-14T21:53:02.5355394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.5355482Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.5355532Z 2025-08-14T21:53:02.5355656Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5355903Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5355985Z return mod(*inputs) 2025-08-14T21:53:02.5356246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5356330Z x = self.forward_features(x) 2025-08-14T21:53:02.5356619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5356691Z x = self.blocks(x) 2025-08-14T21:53:02.5356975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:53:02.5357060Z x = self.drop_path(x) + shortcut 2025-08-14T21:53:02.5357072Z 2025-08-14T21:53:02.5357218Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5357468Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5357572Z return mod(*inputs) 2025-08-14T21:53:02.5357840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5357919Z x = self.forward_features(x) 2025-08-14T21:53:02.5358208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5358286Z x = self.blocks(x) 2025-08-14T21:53:02.5358566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:53:02.5358639Z x = self.bn1(x) 2025-08-14T21:53:02.5358886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:53:02.5358956Z x = self.act(x) 2025-08-14T21:53:02.5358968Z 2025-08-14T21:53:02.5359091Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5359337Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5359414Z return mod(*inputs) 2025-08-14T21:53:02.5359680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5359760Z x = self.forward_features(x) 2025-08-14T21:53:02.5360056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5360129Z x = self.blocks(x) 2025-08-14T21:53:02.5360410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-08-14T21:53:02.5360483Z x = self.bn1(x) 2025-08-14T21:53:02.5360733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:53:02.5360804Z x = self.act(x) 2025-08-14T21:53:02.5360819Z 2025-08-14T21:53:02.5360963Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5361209Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5361286Z return mod(*inputs) 2025-08-14T21:53:02.5361547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5361629Z x = self.forward_features(x) 2025-08-14T21:53:02.5361921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5361993Z x = self.blocks(x) 2025-08-14T21:53:02.5362276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.5362352Z x = self.conv_dw(x) 2025-08-14T21:53:02.5362608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5362755Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5363026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5363149Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5363162Z 2025-08-14T21:53:02.5363283Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5363525Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5363602Z return mod(*inputs) 2025-08-14T21:53:02.5363865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5363945Z x = self.forward_features(x) 2025-08-14T21:53:02.5364238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5364347Z x = self.blocks(x) 2025-08-14T21:53:02.5364634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.5364736Z x = self.conv_dw(x) 2025-08-14T21:53:02.5364991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5365116Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5365384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5365503Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5365515Z 2025-08-14T21:53:02.5365637Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5365877Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5365952Z return mod(*inputs) 2025-08-14T21:53:02.5366226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5366354Z x = self.forward_features(x) 2025-08-14T21:53:02.5370837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5370913Z x = self.blocks(x) 2025-08-14T21:53:02.5371194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.5371271Z x = self.conv_dw(x) 2025-08-14T21:53:02.5371526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5371645Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5371919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5372035Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5372051Z 2025-08-14T21:53:02.5372176Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5372442Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5372519Z return mod(*inputs) 2025-08-14T21:53:02.5372787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5372868Z x = self.forward_features(x) 2025-08-14T21:53:02.5373163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5373235Z x = self.blocks(x) 2025-08-14T21:53:02.5373516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.5373594Z x = self.conv_dw(x) 2025-08-14T21:53:02.5373848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5373991Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5374264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5374387Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5374400Z 2025-08-14T21:53:02.5374525Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5374771Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5374844Z return mod(*inputs) 2025-08-14T21:53:02.5375107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5375188Z x = self.forward_features(x) 2025-08-14T21:53:02.5375476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5375553Z x = self.blocks(x) 2025-08-14T21:53:02.5375861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.5375960Z x = self.conv_dw(x) 2025-08-14T21:53:02.5376216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5376334Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5376606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5376723Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5376735Z 2025-08-14T21:53:02.5376857Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5377097Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5377172Z return mod(*inputs) 2025-08-14T21:53:02.5377440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5377525Z x = self.forward_features(x) 2025-08-14T21:53:02.5377816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5377892Z x = self.blocks(x) 2025-08-14T21:53:02.5378173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.5378249Z x = self.conv_dw(x) 2025-08-14T21:53:02.5378501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5378619Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5378891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5379008Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5379022Z 2025-08-14T21:53:02.5379141Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5379407Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5379484Z return mod(*inputs) 2025-08-14T21:53:02.5379751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5379833Z x = self.forward_features(x) 2025-08-14T21:53:02.5380123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5380202Z x = self.blocks(x) 2025-08-14T21:53:02.5380484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.5380559Z x = self.conv_dw(x) 2025-08-14T21:53:02.5380874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5380996Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5381360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5381480Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5381492Z 2025-08-14T21:53:02.5381612Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5381858Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5381932Z return mod(*inputs) 2025-08-14T21:53:02.5382199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5382279Z x = self.forward_features(x) 2025-08-14T21:53:02.5382569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5382647Z x = self.blocks(x) 2025-08-14T21:53:02.5382952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.5383050Z x = self.conv_dw(x) 2025-08-14T21:53:02.5383312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5383433Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5383708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5383827Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5383839Z 2025-08-14T21:53:02.5383930Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.5384025Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.5384113Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.5384201Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.5384326Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5384571Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5384654Z return mod(*inputs) 2025-08-14T21:53:02.5384914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5384995Z x = self.forward_features(x) 2025-08-14T21:53:02.5385288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5385360Z x = self.blocks(x) 2025-08-14T21:53:02.5385639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-08-14T21:53:02.5385716Z x = self.conv_dw(x) 2025-08-14T21:53:02.5385975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.5386058Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.5386070Z 2025-08-14T21:53:02.5386161Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.5386302Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5386552Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5386627Z return mod(*inputs) 2025-08-14T21:53:02.5386957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5387043Z x = self.forward_features(x) 2025-08-14T21:53:02.5387334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5387410Z x = self.blocks(x) 2025-08-14T21:53:02.5387693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.5387762Z x = self.se(x) 2025-08-14T21:53:02.5388047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-08-14T21:53:02.5388157Z x_se = x.mean((2, 3), keepdim=True) 2025-08-14T21:53:02.5388172Z 2025-08-14T21:53:02.5388299Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5388541Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5388613Z return mod(*inputs) 2025-08-14T21:53:02.5388882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5388965Z x = self.forward_features(x) 2025-08-14T21:53:02.5389256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5389332Z x = self.blocks(x) 2025-08-14T21:53:02.5389610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.5389688Z x = self.se(x) 2025-08-14T21:53:02.5389990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:53:02.5390092Z x_se = self.act1(x_se) 2025-08-14T21:53:02.5390105Z 2025-08-14T21:53:02.5390228Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5390468Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5390543Z return mod(*inputs) 2025-08-14T21:53:02.5390810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5390896Z x = self.forward_features(x) 2025-08-14T21:53:02.5391191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5391263Z x = self.blocks(x) 2025-08-14T21:53:02.5391542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.5391622Z x = self.se(x) 2025-08-14T21:53:02.5391906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-08-14T21:53:02.5391986Z x_se = self.act1(x_se) 2025-08-14T21:53:02.5391999Z 2025-08-14T21:53:02.5392121Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5392361Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5392439Z return mod(*inputs) 2025-08-14T21:53:02.5392699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5392781Z x = self.forward_features(x) 2025-08-14T21:53:02.5393074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5393145Z x = self.blocks(x) 2025-08-14T21:53:02.5393425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.5393499Z x = self.se(x) 2025-08-14T21:53:02.5393802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.5393890Z return x * self.gate(x_se) 2025-08-14T21:53:02.5393903Z 2025-08-14T21:53:02.5394019Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5394259Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5394339Z return mod(*inputs) 2025-08-14T21:53:02.5394601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5394685Z x = self.forward_features(x) 2025-08-14T21:53:02.5394973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5395045Z x = self.blocks(x) 2025-08-14T21:53:02.5395384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.5395495Z x = self.se(x) 2025-08-14T21:53:02.5400008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.5400094Z return x * self.gate(x_se) 2025-08-14T21:53:02.5400107Z 2025-08-14T21:53:02.5400225Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5400471Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5400543Z return mod(*inputs) 2025-08-14T21:53:02.5400805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5400892Z x = self.forward_features(x) 2025-08-14T21:53:02.5401186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5401288Z x = self.blocks(x) 2025-08-14T21:53:02.5401579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-08-14T21:53:02.5401671Z x = self.se(x) 2025-08-14T21:53:02.5401954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-08-14T21:53:02.5402032Z return x * self.gate(x_se) 2025-08-14T21:53:02.5402045Z 2025-08-14T21:53:02.5402138Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.5402261Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5402507Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5402581Z return mod(*inputs) 2025-08-14T21:53:02.5402852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5402933Z x = self.forward_features(x) 2025-08-14T21:53:02.5403232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5403309Z x = self.blocks(x) 2025-08-14T21:53:02.5403589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.5403675Z x = self.conv_pwl(x) 2025-08-14T21:53:02.5403931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5404055Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5404329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5404453Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5404465Z 2025-08-14T21:53:02.5404587Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5404837Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5404939Z return mod(*inputs) 2025-08-14T21:53:02.5405209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5405291Z x = self.forward_features(x) 2025-08-14T21:53:02.5405587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5405664Z x = self.blocks(x) 2025-08-14T21:53:02.5405947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.5406031Z x = self.conv_pwl(x) 2025-08-14T21:53:02.5406288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5406409Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5406682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5406823Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5406838Z 2025-08-14T21:53:02.5406934Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.5407054Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5407297Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5407373Z return mod(*inputs) 2025-08-14T21:53:02.5407631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5407712Z x = self.forward_features(x) 2025-08-14T21:53:02.5408010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5408082Z x = self.blocks(x) 2025-08-14T21:53:02.5408389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.5408468Z x = self.conv_pwl(x) 2025-08-14T21:53:02.5408731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5408877Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5409145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5409264Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5409280Z 2025-08-14T21:53:02.5409400Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5409646Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5409731Z return mod(*inputs) 2025-08-14T21:53:02.5410039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5410190Z x = self.forward_features(x) 2025-08-14T21:53:02.5410492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5410567Z x = self.blocks(x) 2025-08-14T21:53:02.5410853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.5410932Z x = self.conv_pwl(x) 2025-08-14T21:53:02.5411190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-08-14T21:53:02.5411312Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5411577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-08-14T21:53:02.5411693Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-08-14T21:53:02.5411706Z 2025-08-14T21:53:02.5411798Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.5411889Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.5412038Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5412286Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5412360Z return mod(*inputs) 2025-08-14T21:53:02.5412627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5412707Z x = self.forward_features(x) 2025-08-14T21:53:02.5412996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5413077Z x = self.blocks(x) 2025-08-14T21:53:02.5413362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-08-14T21:53:02.5413450Z x = self.conv_pwl(x) 2025-08-14T21:53:02.5413712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-08-14T21:53:02.5413813Z x = torch.cat(x_out, 1) 2025-08-14T21:53:02.5413826Z 2025-08-14T21:53:02.5413955Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5414198Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5414273Z return mod(*inputs) 2025-08-14T21:53:02.5414540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5414621Z x = self.forward_features(x) 2025-08-14T21:53:02.5414920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-08-14T21:53:02.5414993Z x = self.blocks(x) 2025-08-14T21:53:02.5415277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-08-14T21:53:02.5415368Z x = self.drop_path(x) + shortcut 2025-08-14T21:53:02.5415381Z 2025-08-14T21:53:02.5415528Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5415783Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5415880Z return mod(*inputs) 2025-08-14T21:53:02.5416142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5416231Z x = self.forward_features(x) 2025-08-14T21:53:02.5416524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 258, in forward_features 2025-08-14T21:53:02.5416595Z x = self.bn2(x) 2025-08-14T21:53:02.5416847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:53:02.5416918Z x = self.act(x) 2025-08-14T21:53:02.5416930Z 2025-08-14T21:53:02.5417054Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5417301Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5417381Z return mod(*inputs) 2025-08-14T21:53:02.5417650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-08-14T21:53:02.5417736Z x = self.forward_features(x) 2025-08-14T21:53:02.5418027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 258, in forward_features 2025-08-14T21:53:02.5418105Z x = self.bn2(x) 2025-08-14T21:53:02.5418358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-08-14T21:53:02.5418438Z x = self.act(x) 2025-08-14T21:53:02.5418450Z 2025-08-14T21:53:02.5418542Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.5418662Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:53:02.5418912Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:53:02.5418989Z return mod(*inputs) 2025-08-14T21:53:02.5419282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-08-14T21:53:02.5419377Z x = self.forward_head(x) 2025-08-14T21:53:02.5419660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 262, in forward_head 2025-08-14T21:53:02.5419748Z x = self.global_pool(x) 2025-08-14T21:53:02.5420036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward 2025-08-14T21:53:02.5420110Z x = self.pool(x) 2025-08-14T21:53:02.5420123Z 2025-08-14T21:53:02.5420223Z cudagraph partition due to non gpu ops 2025-08-14T21:53:02.5420314Z cudagraph partition due to non gpu ops 2025-08-14T21:53:16.1100218Z Compilation time (from dynamo_timed): 38.478028154 2025-08-14T21:53:16.1100981Z pass 2025-08-14T21:53:16.1109780Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:53:16.1111373Z TIMING: _recursive_pre_grad_passes:0.08819 _recursive_joint_graph_passes:0.5331 _recursive_post_grad_passes:0.12618 async_compile.wait:0.63982 code_gen:11.65461 inductor_compile:16.6277 backend_compile:29.83198 gc:0.0002 entire_frame_compile:38.47803 total_wall_time:38.47803 2025-08-14T21:53:16.1112606Z STATS: call_* op count: 551 | FakeTensorMode.__torch_dispatch__:38996 | FakeTensor.__torch_dispatch__:6348 | ProxyTorchDispatchMode.__torch_dispatch__:7472 2025-08-14T21:53:16.1113231Z Dynamo produced 1 graphs covering 551 ops with 0 graph breaks (0 unique) 2025-08-14T21:53:22.0471581Z 2025-08-14T21:53:22.2259715Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:53:22.2259988Z 2025-08-14T21:53:22.3647623Z model.safetensors: 0% 0.00/25.0M [00:00 B,H,W,C 2025-08-14T21:57:10.9426512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-14T21:57:10.9426986Z x = self.conv(x) 2025-08-14T21:57:10.9427104Z 2025-08-14T21:57:10.9427235Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9427669Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9428068Z return mod(*inputs) 2025-08-14T21:57:10.9428423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9428811Z x = self.forward_features(x) 2025-08-14T21:57:10.9429210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-14T21:57:10.9429688Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-14T21:57:10.9430168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-14T21:57:10.9430546Z x = self.conv(x) 2025-08-14T21:57:10.9430675Z 2025-08-14T21:57:10.9430797Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9431263Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9431663Z return mod(*inputs) 2025-08-14T21:57:10.9432009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9432407Z x = self.forward_features(x) 2025-08-14T21:57:10.9432814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-14T21:57:10.9433286Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-14T21:57:10.9433791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-14T21:57:10.9434286Z x = self.conv(x) 2025-08-14T21:57:10.9434401Z 2025-08-14T21:57:10.9434533Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9434969Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9435366Z return mod(*inputs) 2025-08-14T21:57:10.9435720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9436102Z x = self.forward_features(x) 2025-08-14T21:57:10.9436510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-14T21:57:10.9436987Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-14T21:57:10.9437424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-14T21:57:10.9437797Z x = self.conv(x) 2025-08-14T21:57:10.9437922Z 2025-08-14T21:57:10.9438046Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9438495Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9438910Z return mod(*inputs) 2025-08-14T21:57:10.9439262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9439652Z x = self.forward_features(x) 2025-08-14T21:57:10.9440056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-14T21:57:10.9440520Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-14T21:57:10.9440956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-14T21:57:10.9441334Z x = self.conv(x) 2025-08-14T21:57:10.9441449Z 2025-08-14T21:57:10.9441572Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9442006Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9442402Z return mod(*inputs) 2025-08-14T21:57:10.9442754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9443141Z x = self.forward_features(x) 2025-08-14T21:57:10.9443553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-14T21:57:10.9444027Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-14T21:57:10.9444453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-08-14T21:57:10.9444827Z x = self.conv(x) 2025-08-14T21:57:10.9444951Z 2025-08-14T21:57:10.9445075Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9445509Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9445901Z return mod(*inputs) 2025-08-14T21:57:10.9446254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9446667Z x = self.forward_features(x) 2025-08-14T21:57:10.9447074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-14T21:57:10.9447604Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-14T21:57:10.9448059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 368, in forward 2025-08-14T21:57:10.9454965Z x = self.proj(x) # B, C, H, W 2025-08-14T21:57:10.9455127Z 2025-08-14T21:57:10.9455251Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9455689Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9456088Z return mod(*inputs) 2025-08-14T21:57:10.9456436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9456905Z x = self.forward_features(x) 2025-08-14T21:57:10.9457315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-08-14T21:57:10.9457803Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-08-14T21:57:10.9458233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 368, in forward 2025-08-14T21:57:10.9458632Z x = self.proj(x) # B, C, H, W 2025-08-14T21:57:10.9458786Z 2025-08-14T21:57:10.9458912Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9459359Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9459758Z return mod(*inputs) 2025-08-14T21:57:10.9460109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9460499Z x = self.forward_features(x) 2025-08-14T21:57:10.9460906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9461335Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9461788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9462204Z x = block(x) 2025-08-14T21:57:10.9462553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:10.9463088Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9463498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 81, in forward 2025-08-14T21:57:10.9463931Z attn = self.pool(x.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) 2025-08-14T21:57:10.9464150Z 2025-08-14T21:57:10.9464247Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9464498Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9464776Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9465205Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9465599Z return mod(*inputs) 2025-08-14T21:57:10.9465948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9466332Z x = self.forward_features(x) 2025-08-14T21:57:10.9466739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9467226Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9467620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9468018Z x = block(x) 2025-08-14T21:57:10.9468357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:10.9468767Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9469164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 74, in forward 2025-08-14T21:57:10.9469619Z v = self.v(x).permute(0, 3, 1, 2) # B, C, H, W 2025-08-14T21:57:10.9469810Z 2025-08-14T21:57:10.9469939Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9470406Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9470795Z return mod(*inputs) 2025-08-14T21:57:10.9471143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9471538Z x = self.forward_features(x) 2025-08-14T21:57:10.9471940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9472357Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9472753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9473162Z x = block(x) 2025-08-14T21:57:10.9473518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:10.9473936Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9474342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:57:10.9474824Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:57:10.9475094Z 2025-08-14T21:57:10.9475217Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9475662Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9476055Z return mod(*inputs) 2025-08-14T21:57:10.9476398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9476788Z x = self.forward_features(x) 2025-08-14T21:57:10.9477253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9481887Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9482311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9482720Z x = block(x) 2025-08-14T21:57:10.9483059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:10.9483466Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9483880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:57:10.9484376Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:57:10.9484637Z 2025-08-14T21:57:10.9484771Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9485200Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9485600Z return mod(*inputs) 2025-08-14T21:57:10.9485960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9486348Z x = self.forward_features(x) 2025-08-14T21:57:10.9486770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9487190Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9487589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9487983Z x = block(x) 2025-08-14T21:57:10.9488319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:10.9488733Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9489129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:57:10.9489609Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:57:10.9489898Z 2025-08-14T21:57:10.9489997Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9490475Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9490742Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9499998Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9500538Z return mod(*inputs) 2025-08-14T21:57:10.9500939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9501358Z x = self.forward_features(x) 2025-08-14T21:57:10.9501774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9502226Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9502634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9503078Z x = block(x) 2025-08-14T21:57:10.9503420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:10.9503854Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9504274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T21:57:10.9504673Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T21:57:10.9504851Z 2025-08-14T21:57:10.9504980Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9505432Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9505838Z return mod(*inputs) 2025-08-14T21:57:10.9506281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9511009Z x = self.forward_features(x) 2025-08-14T21:57:10.9511425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9511854Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9512303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9512711Z x = block(x) 2025-08-14T21:57:10.9513054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:10.9513463Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9513877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T21:57:10.9514273Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T21:57:10.9514439Z 2025-08-14T21:57:10.9514540Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9514829Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9515274Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9515678Z return mod(*inputs) 2025-08-14T21:57:10.9516031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9516423Z x = self.forward_features(x) 2025-08-14T21:57:10.9516838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9517254Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9517658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9518067Z x = block(x) 2025-08-14T21:57:10.9518408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T21:57:10.9518817Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:10.9519228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:57:10.9519616Z x = self.act(x) 2025-08-14T21:57:10.9519730Z 2025-08-14T21:57:10.9519857Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9520146Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9520651Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9521159Z return mod(*inputs) 2025-08-14T21:57:10.9521515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9521906Z x = self.forward_features(x) 2025-08-14T21:57:10.9522318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9522734Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9523140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9523554Z x = block(x) 2025-08-14T21:57:10.9523896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:10.9524341Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9524756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 81, in forward 2025-08-14T21:57:10.9525203Z attn = self.pool(x.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) 2025-08-14T21:57:10.9525413Z 2025-08-14T21:57:10.9525509Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9525755Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9526033Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9526463Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9526854Z return mod(*inputs) 2025-08-14T21:57:10.9527204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9527600Z x = self.forward_features(x) 2025-08-14T21:57:10.9528008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9529400Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9529804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9530205Z x = block(x) 2025-08-14T21:57:10.9530547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:10.9530970Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9531382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 74, in forward 2025-08-14T21:57:10.9531780Z v = self.v(x).permute(0, 3, 1, 2) # B, C, H, W 2025-08-14T21:57:10.9531966Z 2025-08-14T21:57:10.9532089Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9532525Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9532919Z return mod(*inputs) 2025-08-14T21:57:10.9533271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9533665Z x = self.forward_features(x) 2025-08-14T21:57:10.9534075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9534490Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9534886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9535362Z x = block(x) 2025-08-14T21:57:10.9539921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:10.9540351Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9540770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:57:10.9541271Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:57:10.9541537Z 2025-08-14T21:57:10.9541707Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9542144Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9542564Z return mod(*inputs) 2025-08-14T21:57:10.9542907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9543329Z x = self.forward_features(x) 2025-08-14T21:57:10.9543753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9544177Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9544563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9544963Z x = block(x) 2025-08-14T21:57:10.9545295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:10.9545727Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9546136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:57:10.9546625Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:57:10.9546941Z 2025-08-14T21:57:10.9547075Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9547504Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9547903Z return mod(*inputs) 2025-08-14T21:57:10.9548251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9548636Z x = self.forward_features(x) 2025-08-14T21:57:10.9549032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9549459Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9549904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9550398Z x = block(x) 2025-08-14T21:57:10.9550735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:10.9551146Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9551553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:57:10.9552083Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:57:10.9552348Z 2025-08-14T21:57:10.9552444Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9552700Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9552968Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9553773Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9554184Z return mod(*inputs) 2025-08-14T21:57:10.9554544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9554929Z x = self.forward_features(x) 2025-08-14T21:57:10.9555343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9555777Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9556163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9556568Z x = block(x) 2025-08-14T21:57:10.9556910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:10.9557322Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9557724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T21:57:10.9558123Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T21:57:10.9558355Z 2025-08-14T21:57:10.9558488Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9558918Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9559348Z return mod(*inputs) 2025-08-14T21:57:10.9559717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9560115Z x = self.forward_features(x) 2025-08-14T21:57:10.9560530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9560961Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9561362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9561752Z x = block(x) 2025-08-14T21:57:10.9562086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:10.9562537Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9562944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T21:57:10.9563330Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T21:57:10.9563498Z 2025-08-14T21:57:10.9563591Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9563862Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9564346Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9573108Z return mod(*inputs) 2025-08-14T21:57:10.9573555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9574057Z x = self.forward_features(x) 2025-08-14T21:57:10.9574575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9575136Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9575605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9576051Z x = block(x) 2025-08-14T21:57:10.9576385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T21:57:10.9576800Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:10.9577208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:57:10.9577577Z x = self.act(x) 2025-08-14T21:57:10.9577698Z 2025-08-14T21:57:10.9577790Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9578067Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9578497Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9581134Z return mod(*inputs) 2025-08-14T21:57:10.9581493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9581884Z x = self.forward_features(x) 2025-08-14T21:57:10.9582293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9582765Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9583166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9583562Z x = block(x) 2025-08-14T21:57:10.9583901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:10.9584316Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9584713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 81, in forward 2025-08-14T21:57:10.9585153Z attn = self.pool(x.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) 2025-08-14T21:57:10.9585369Z 2025-08-14T21:57:10.9585466Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9585746Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9586017Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9586477Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9586957Z return mod(*inputs) 2025-08-14T21:57:10.9587299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9587699Z x = self.forward_features(x) 2025-08-14T21:57:10.9588109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9588540Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9588924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9589331Z x = block(x) 2025-08-14T21:57:10.9589669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:10.9590101Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9590507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 74, in forward 2025-08-14T21:57:10.9590910Z v = self.v(x).permute(0, 3, 1, 2) # B, C, H, W 2025-08-14T21:57:10.9591087Z 2025-08-14T21:57:10.9591212Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9591642Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9592035Z return mod(*inputs) 2025-08-14T21:57:10.9592380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9592763Z x = self.forward_features(x) 2025-08-14T21:57:10.9593224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9593720Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9594116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9594535Z x = block(x) 2025-08-14T21:57:10.9594866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:10.9595271Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9595666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:57:10.9596154Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:57:10.9596416Z 2025-08-14T21:57:10.9596540Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9596976Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9597365Z return mod(*inputs) 2025-08-14T21:57:10.9597713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9598108Z x = self.forward_features(x) 2025-08-14T21:57:10.9598522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9598935Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9599325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9599726Z x = block(x) 2025-08-14T21:57:10.9600047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:10.9600457Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9600859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:57:10.9601343Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:57:10.9601603Z 2025-08-14T21:57:10.9601724Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9602186Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9602582Z return mod(*inputs) 2025-08-14T21:57:10.9602954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9603340Z x = self.forward_features(x) 2025-08-14T21:57:10.9603740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9604156Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9604542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9604939Z x = block(x) 2025-08-14T21:57:10.9605273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:10.9605681Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9606112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:57:10.9606594Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:57:10.9606850Z 2025-08-14T21:57:10.9606948Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9607189Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9607465Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9612208Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9612608Z return mod(*inputs) 2025-08-14T21:57:10.9612963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9613350Z x = self.forward_features(x) 2025-08-14T21:57:10.9613752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9614168Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9614592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9614992Z x = block(x) 2025-08-14T21:57:10.9615318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:10.9615722Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9616123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T21:57:10.9616509Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T21:57:10.9616668Z 2025-08-14T21:57:10.9616791Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9617224Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9617614Z return mod(*inputs) 2025-08-14T21:57:10.9617949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9618342Z x = self.forward_features(x) 2025-08-14T21:57:10.9618747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9619163Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9619546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9619943Z x = block(x) 2025-08-14T21:57:10.9620276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:10.9620678Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9621080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T21:57:10.9621469Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T21:57:10.9621627Z 2025-08-14T21:57:10.9621723Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9622026Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9622583Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9622977Z return mod(*inputs) 2025-08-14T21:57:10.9623337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9623726Z x = self.forward_features(x) 2025-08-14T21:57:10.9624132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9624547Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9624929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9625328Z x = block(x) 2025-08-14T21:57:10.9625665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T21:57:10.9626072Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:10.9626513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:57:10.9626953Z x = self.act(x) 2025-08-14T21:57:10.9627066Z 2025-08-14T21:57:10.9627166Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9627432Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9627862Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9628264Z return mod(*inputs) 2025-08-14T21:57:10.9628614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9629001Z x = self.forward_features(x) 2025-08-14T21:57:10.9629410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9629836Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9630225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9630652Z x = block(x) 2025-08-14T21:57:10.9630984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:10.9631384Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9631787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 81, in forward 2025-08-14T21:57:10.9632222Z attn = self.pool(x.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) 2025-08-14T21:57:10.9632429Z 2025-08-14T21:57:10.9632526Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9632767Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9633036Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9633466Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9633852Z return mod(*inputs) 2025-08-14T21:57:10.9634206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9634589Z x = self.forward_features(x) 2025-08-14T21:57:10.9634992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9635399Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9635789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9636186Z x = block(x) 2025-08-14T21:57:10.9636512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:10.9641204Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9641613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 74, in forward 2025-08-14T21:57:10.9642013Z v = self.v(x).permute(0, 3, 1, 2) # B, C, H, W 2025-08-14T21:57:10.9642186Z 2025-08-14T21:57:10.9642310Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9642772Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9643171Z return mod(*inputs) 2025-08-14T21:57:10.9643539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9643924Z x = self.forward_features(x) 2025-08-14T21:57:10.9644324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9644737Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9645119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9645518Z x = block(x) 2025-08-14T21:57:10.9645846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:10.9646245Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9646681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:57:10.9647164Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:57:10.9647418Z 2025-08-14T21:57:10.9647548Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9647975Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9648366Z return mod(*inputs) 2025-08-14T21:57:10.9648716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9649097Z x = self.forward_features(x) 2025-08-14T21:57:10.9649500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9649915Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9650305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9650698Z x = block(x) 2025-08-14T21:57:10.9651080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:10.9651583Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9651982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:57:10.9652462Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:57:10.9652719Z 2025-08-14T21:57:10.9652838Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9653269Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9654011Z return mod(*inputs) 2025-08-14T21:57:10.9654363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9654753Z x = self.forward_features(x) 2025-08-14T21:57:10.9655156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9655578Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9655974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9656373Z x = block(x) 2025-08-14T21:57:10.9656704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:10.9657110Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9657508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-08-14T21:57:10.9657984Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-08-14T21:57:10.9658239Z 2025-08-14T21:57:10.9658332Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9658581Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9658928Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9659356Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9659752Z return mod(*inputs) 2025-08-14T21:57:10.9660133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9660527Z x = self.forward_features(x) 2025-08-14T21:57:10.9660927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9661346Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9661748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9662145Z x = block(x) 2025-08-14T21:57:10.9662479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:10.9662918Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9663322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T21:57:10.9663717Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T21:57:10.9663887Z 2025-08-14T21:57:10.9664012Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9664446Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9664839Z return mod(*inputs) 2025-08-14T21:57:10.9665197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9665627Z x = self.forward_features(x) 2025-08-14T21:57:10.9670233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9670651Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9671050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9671496Z x = block(x) 2025-08-14T21:57:10.9671828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-08-14T21:57:10.9672239Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9672648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-08-14T21:57:10.9673047Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-08-14T21:57:10.9673214Z 2025-08-14T21:57:10.9673311Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9673590Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9674087Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9674475Z return mod(*inputs) 2025-08-14T21:57:10.9674830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9675219Z x = self.forward_features(x) 2025-08-14T21:57:10.9675623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9676047Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9676439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9676841Z x = block(x) 2025-08-14T21:57:10.9677165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T21:57:10.9677577Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:10.9677985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:57:10.9678352Z x = self.act(x) 2025-08-14T21:57:10.9678471Z 2025-08-14T21:57:10.9678564Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9678840Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9679303Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9679691Z return mod(*inputs) 2025-08-14T21:57:10.9680058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9680579Z x = self.forward_features(x) 2025-08-14T21:57:10.9680977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9681395Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9681787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9682183Z x = block(x) 2025-08-14T21:57:10.9682507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 136, in forward 2025-08-14T21:57:10.9682917Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:10.9683095Z 2025-08-14T21:57:10.9683250Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9683680Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9684078Z return mod(*inputs) 2025-08-14T21:57:10.9684430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9684821Z x = self.forward_features(x) 2025-08-14T21:57:10.9685220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9685638Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9686040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9686433Z x = block(x) 2025-08-14T21:57:10.9686768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 382, in forward 2025-08-14T21:57:10.9687156Z x = self.proj(x) # B, C, H, W 2025-08-14T21:57:10.9687310Z 2025-08-14T21:57:10.9687440Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9687898Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9688295Z return mod(*inputs) 2025-08-14T21:57:10.9688649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9689030Z x = self.forward_features(x) 2025-08-14T21:57:10.9689434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9689852Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9690249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9690644Z x = block(x) 2025-08-14T21:57:10.9690980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 382, in forward 2025-08-14T21:57:10.9691365Z x = self.proj(x) # B, C, H, W 2025-08-14T21:57:10.9691518Z 2025-08-14T21:57:10.9691644Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9692094Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9692499Z return mod(*inputs) 2025-08-14T21:57:10.9692848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9693228Z x = self.forward_features(x) 2025-08-14T21:57:10.9693631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9694049Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9694432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9694896Z x = block(x) 2025-08-14T21:57:10.9699467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:10.9699885Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9700313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:57:10.9700849Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:57:10.9701120Z 2025-08-14T21:57:10.9701222Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9701469Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9701704Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9701948Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9702220Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9702651Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9703046Z return mod(*inputs) 2025-08-14T21:57:10.9703400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9703805Z x = self.forward_features(x) 2025-08-14T21:57:10.9704213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9704629Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9705025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9705420Z x = block(x) 2025-08-14T21:57:10.9705754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:10.9706163Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9706562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:57:10.9707029Z x = F.scaled_dot_product_attention( 2025-08-14T21:57:10.9707201Z 2025-08-14T21:57:10.9707296Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9707540Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9707822Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9708293Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9708696Z return mod(*inputs) 2025-08-14T21:57:10.9709071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9709557Z x = self.forward_features(x) 2025-08-14T21:57:10.9709967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9710389Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9710774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9711175Z x = block(x) 2025-08-14T21:57:10.9711511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:10.9711921Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:10.9712331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:57:10.9712716Z x = self.act(x) 2025-08-14T21:57:10.9712828Z 2025-08-14T21:57:10.9712928Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9713199Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9713637Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9714037Z return mod(*inputs) 2025-08-14T21:57:10.9714379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9714767Z x = self.forward_features(x) 2025-08-14T21:57:10.9715173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9715650Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9716064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9716468Z x = block(x) 2025-08-14T21:57:10.9716797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:10.9717242Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:10.9717428Z 2025-08-14T21:57:10.9717548Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9717983Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9718374Z return mod(*inputs) 2025-08-14T21:57:10.9718714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9719104Z x = self.forward_features(x) 2025-08-14T21:57:10.9719506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9719922Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9720354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9720756Z x = block(x) 2025-08-14T21:57:10.9721083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:10.9721495Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9721899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:57:10.9722396Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:57:10.9722660Z 2025-08-14T21:57:10.9722755Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9722999Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9723245Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9723485Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9723805Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9732746Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9733298Z return mod(*inputs) 2025-08-14T21:57:10.9733737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9734239Z x = self.forward_features(x) 2025-08-14T21:57:10.9734770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9735316Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9735716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9736116Z x = block(x) 2025-08-14T21:57:10.9736446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:10.9736852Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9737258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:57:10.9737656Z x = F.scaled_dot_product_attention( 2025-08-14T21:57:10.9737817Z 2025-08-14T21:57:10.9737907Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9738194Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9740584Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9741024Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9741410Z return mod(*inputs) 2025-08-14T21:57:10.9741762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9742149Z x = self.forward_features(x) 2025-08-14T21:57:10.9742601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9743028Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9743452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9743855Z x = block(x) 2025-08-14T21:57:10.9744180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:10.9744613Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:10.9745021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:57:10.9745385Z x = self.act(x) 2025-08-14T21:57:10.9745502Z 2025-08-14T21:57:10.9745594Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9745866Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9746301Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9746689Z return mod(*inputs) 2025-08-14T21:57:10.9747108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9747530Z x = self.forward_features(x) 2025-08-14T21:57:10.9747939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9748360Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9748752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9749155Z x = block(x) 2025-08-14T21:57:10.9749483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:10.9749893Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9750291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:57:10.9750771Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:57:10.9751041Z 2025-08-14T21:57:10.9751134Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9751381Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9751645Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9751876Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9752149Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9752623Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9753102Z return mod(*inputs) 2025-08-14T21:57:10.9753772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9754158Z x = self.forward_features(x) 2025-08-14T21:57:10.9754564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9754980Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9755373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9755778Z x = block(x) 2025-08-14T21:57:10.9756108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:10.9756516Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9756923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:57:10.9757315Z x = F.scaled_dot_product_attention( 2025-08-14T21:57:10.9757477Z 2025-08-14T21:57:10.9757570Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9757813Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9758085Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9758511Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9758905Z return mod(*inputs) 2025-08-14T21:57:10.9759258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9759639Z x = self.forward_features(x) 2025-08-14T21:57:10.9760101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9760522Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9760967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9761376Z x = block(x) 2025-08-14T21:57:10.9761726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:10.9762143Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:10.9762544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:57:10.9762922Z x = self.act(x) 2025-08-14T21:57:10.9763038Z 2025-08-14T21:57:10.9763127Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9763399Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9763859Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9764267Z return mod(*inputs) 2025-08-14T21:57:10.9764613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9764991Z x = self.forward_features(x) 2025-08-14T21:57:10.9765400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9765815Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9766206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9766598Z x = block(x) 2025-08-14T21:57:10.9766935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:10.9767410Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9772010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:57:10.9772516Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:57:10.9772830Z 2025-08-14T21:57:10.9772923Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9773173Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9773411Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9773655Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9773925Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9774353Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9774747Z return mod(*inputs) 2025-08-14T21:57:10.9775099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9775484Z x = self.forward_features(x) 2025-08-14T21:57:10.9775890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9776319Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9776719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9777114Z x = block(x) 2025-08-14T21:57:10.9777454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:10.9777873Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9778282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:57:10.9778670Z x = F.scaled_dot_product_attention( 2025-08-14T21:57:10.9778839Z 2025-08-14T21:57:10.9778930Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9779182Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9779449Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9779886Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9780308Z return mod(*inputs) 2025-08-14T21:57:10.9780661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9781080Z x = self.forward_features(x) 2025-08-14T21:57:10.9781493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9782046Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9782442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9782843Z x = block(x) 2025-08-14T21:57:10.9783178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:10.9783589Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:10.9783991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:57:10.9784398Z x = self.act(x) 2025-08-14T21:57:10.9784517Z 2025-08-14T21:57:10.9784622Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9784894Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9785332Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9785729Z return mod(*inputs) 2025-08-14T21:57:10.9786070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9786459Z x = self.forward_features(x) 2025-08-14T21:57:10.9786932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9787356Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9787748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9788150Z x = block(x) 2025-08-14T21:57:10.9788490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:10.9788930Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9789338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:57:10.9789843Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:57:10.9790111Z 2025-08-14T21:57:10.9790217Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9790459Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9790702Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9790938Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9791202Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9791639Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9792035Z return mod(*inputs) 2025-08-14T21:57:10.9792389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9792772Z x = self.forward_features(x) 2025-08-14T21:57:10.9793185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9793607Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9793997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9794400Z x = block(x) 2025-08-14T21:57:10.9794738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:10.9795153Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9795555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:57:10.9795952Z x = F.scaled_dot_product_attention( 2025-08-14T21:57:10.9796168Z 2025-08-14T21:57:10.9796267Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9800765Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9801049Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9801519Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9801919Z return mod(*inputs) 2025-08-14T21:57:10.9802263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9802650Z x = self.forward_features(x) 2025-08-14T21:57:10.9803063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9803476Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9803877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9804275Z x = block(x) 2025-08-14T21:57:10.9804614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:10.9805044Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:10.9805453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:57:10.9805832Z x = self.act(x) 2025-08-14T21:57:10.9805946Z 2025-08-14T21:57:10.9806038Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9806311Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9806744Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9807141Z return mod(*inputs) 2025-08-14T21:57:10.9807481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9807868Z x = self.forward_features(x) 2025-08-14T21:57:10.9808276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9808693Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9809085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9809509Z x = block(x) 2025-08-14T21:57:10.9809842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:10.9810247Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9810712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:57:10.9811278Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:57:10.9811542Z 2025-08-14T21:57:10.9811636Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9811883Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9812127Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9812365Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9812636Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9813070Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9813462Z return mod(*inputs) 2025-08-14T21:57:10.9813809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9814199Z x = self.forward_features(x) 2025-08-14T21:57:10.9814606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9815028Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9815415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9815817Z x = block(x) 2025-08-14T21:57:10.9816148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:10.9816547Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9816982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:57:10.9817383Z x = F.scaled_dot_product_attention( 2025-08-14T21:57:10.9817548Z 2025-08-14T21:57:10.9817669Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9817907Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9818179Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9818613Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9819002Z return mod(*inputs) 2025-08-14T21:57:10.9819351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9819747Z x = self.forward_features(x) 2025-08-14T21:57:10.9820149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9820594Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9820992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9821395Z x = block(x) 2025-08-14T21:57:10.9821726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:10.9822143Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:10.9822552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:57:10.9822919Z x = self.act(x) 2025-08-14T21:57:10.9823042Z 2025-08-14T21:57:10.9823135Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9823410Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9823847Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9824238Z return mod(*inputs) 2025-08-14T21:57:10.9824584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9824978Z x = self.forward_features(x) 2025-08-14T21:57:10.9829689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9830117Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9830513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9830913Z x = block(x) 2025-08-14T21:57:10.9831241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:10.9831657Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9832061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:57:10.9832552Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:57:10.9832828Z 2025-08-14T21:57:10.9832922Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9840234Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9840586Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9840840Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9841127Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9841579Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9842057Z return mod(*inputs) 2025-08-14T21:57:10.9842443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9842839Z x = self.forward_features(x) 2025-08-14T21:57:10.9843266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9843702Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9844111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9844600Z x = block(x) 2025-08-14T21:57:10.9844950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:10.9845375Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9845811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:57:10.9846213Z x = F.scaled_dot_product_attention( 2025-08-14T21:57:10.9846388Z 2025-08-14T21:57:10.9846485Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9846730Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9846997Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9847445Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9847848Z return mod(*inputs) 2025-08-14T21:57:10.9848198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9848621Z x = self.forward_features(x) 2025-08-14T21:57:10.9849035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9849459Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9849850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9850253Z x = block(x) 2025-08-14T21:57:10.9850591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:10.9851002Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:10.9851411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:57:10.9851790Z x = self.act(x) 2025-08-14T21:57:10.9851904Z 2025-08-14T21:57:10.9852007Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9852286Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9852730Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9853160Z return mod(*inputs) 2025-08-14T21:57:10.9853918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9854381Z x = self.forward_features(x) 2025-08-14T21:57:10.9863172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9863725Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9864234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9864768Z x = block(x) 2025-08-14T21:57:10.9865193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:10.9865723Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9866146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:57:10.9866661Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:57:10.9867009Z 2025-08-14T21:57:10.9867116Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9867357Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9867604Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9867845Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9868110Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9868583Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9869063Z return mod(*inputs) 2025-08-14T21:57:10.9869418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9869804Z x = self.forward_features(x) 2025-08-14T21:57:10.9870296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9870724Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9871112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9871547Z x = block(x) 2025-08-14T21:57:10.9871882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:10.9872287Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9872748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:57:10.9873142Z x = F.scaled_dot_product_attention( 2025-08-14T21:57:10.9873307Z 2025-08-14T21:57:10.9873405Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9873638Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9873909Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9874382Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9874773Z return mod(*inputs) 2025-08-14T21:57:10.9875126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9875520Z x = self.forward_features(x) 2025-08-14T21:57:10.9875918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9876335Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9876728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9877125Z x = block(x) 2025-08-14T21:57:10.9877450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:10.9877860Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:10.9878266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:57:10.9878650Z x = self.act(x) 2025-08-14T21:57:10.9878812Z 2025-08-14T21:57:10.9878905Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9879185Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9879615Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9880002Z return mod(*inputs) 2025-08-14T21:57:10.9880347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9880733Z x = self.forward_features(x) 2025-08-14T21:57:10.9881135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9881554Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9881942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9882344Z x = block(x) 2025-08-14T21:57:10.9882673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:10.9883142Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9883625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:57:10.9884115Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:57:10.9884394Z 2025-08-14T21:57:10.9884487Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9884732Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9884967Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9885194Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9885467Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9885900Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9886288Z return mod(*inputs) 2025-08-14T21:57:10.9886661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9887048Z x = self.forward_features(x) 2025-08-14T21:57:10.9887474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9887887Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9888278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9888674Z x = block(x) 2025-08-14T21:57:10.9888997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:10.9889400Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9889804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:57:10.9890189Z x = F.scaled_dot_product_attention( 2025-08-14T21:57:10.9890374Z 2025-08-14T21:57:10.9890467Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9890710Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9890978Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9891410Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9891496Z return mod(*inputs) 2025-08-14T21:57:10.9891730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9891823Z x = self.forward_features(x) 2025-08-14T21:57:10.9892095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9892181Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9892449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9892519Z x = block(x) 2025-08-14T21:57:10.9892757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:10.9892896Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:10.9893126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:57:10.9893206Z x = self.act(x) 2025-08-14T21:57:10.9893219Z 2025-08-14T21:57:10.9893310Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9893431Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9893688Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9893764Z return mod(*inputs) 2025-08-14T21:57:10.9893992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9894082Z x = self.forward_features(x) 2025-08-14T21:57:10.9894350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9894442Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9894700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9894769Z x = block(x) 2025-08-14T21:57:10.9895004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:10.9895114Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9895339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:57:10.9895539Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:57:10.9895552Z 2025-08-14T21:57:10.9895643Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9895738Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9895825Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9895913Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9896062Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9896312Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9896411Z return mod(*inputs) 2025-08-14T21:57:10.9896646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9896729Z x = self.forward_features(x) 2025-08-14T21:57:10.9896999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9897081Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9897339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9897413Z x = block(x) 2025-08-14T21:57:10.9897702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:10.9897837Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9904452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:57:10.9904546Z x = F.scaled_dot_product_attention( 2025-08-14T21:57:10.9904563Z 2025-08-14T21:57:10.9904659Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9904747Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9904868Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9905120Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9905199Z return mod(*inputs) 2025-08-14T21:57:10.9905430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9905522Z x = self.forward_features(x) 2025-08-14T21:57:10.9905786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9905873Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9906159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9906231Z x = block(x) 2025-08-14T21:57:10.9906467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:10.9906576Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:10.9906806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:57:10.9906954Z x = self.act(x) 2025-08-14T21:57:10.9906967Z 2025-08-14T21:57:10.9907056Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9907182Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9907425Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9907501Z return mod(*inputs) 2025-08-14T21:57:10.9907740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9907823Z x = self.forward_features(x) 2025-08-14T21:57:10.9908091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9908177Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9908434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9908510Z x = block(x) 2025-08-14T21:57:10.9908736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:10.9908841Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9909073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:57:10.9909262Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:57:10.9909276Z 2025-08-14T21:57:10.9909398Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9909491Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9909582Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9909695Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9909816Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9910059Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9910142Z return mod(*inputs) 2025-08-14T21:57:10.9910370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9910454Z x = self.forward_features(x) 2025-08-14T21:57:10.9910724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9910804Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9911070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9911163Z x = block(x) 2025-08-14T21:57:10.9911392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:10.9911501Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9911728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:57:10.9911818Z x = F.scaled_dot_product_attention( 2025-08-14T21:57:10.9911837Z 2025-08-14T21:57:10.9911923Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9912020Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9912198Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9912514Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9912594Z return mod(*inputs) 2025-08-14T21:57:10.9912830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9912943Z x = self.forward_features(x) 2025-08-14T21:57:10.9913208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9913300Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9913556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9913631Z x = block(x) 2025-08-14T21:57:10.9913860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:10.9913965Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:10.9914201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:57:10.9914273Z x = self.act(x) 2025-08-14T21:57:10.9914286Z 2025-08-14T21:57:10.9914378Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9914507Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9914753Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9914836Z return mod(*inputs) 2025-08-14T21:57:10.9915069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9915154Z x = self.forward_features(x) 2025-08-14T21:57:10.9915424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9915505Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9915764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9915855Z x = block(x) 2025-08-14T21:57:10.9916083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:10.9916196Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9916448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:57:10.9916642Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:57:10.9916678Z 2025-08-14T21:57:10.9916776Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9916868Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9916963Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9917051Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9917170Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9917419Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9917497Z return mod(*inputs) 2025-08-14T21:57:10.9917725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9917847Z x = self.forward_features(x) 2025-08-14T21:57:10.9918114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9918202Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9918464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9918533Z x = block(x) 2025-08-14T21:57:10.9918768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:10.9918872Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9919099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:57:10.9919192Z x = F.scaled_dot_product_attention( 2025-08-14T21:57:10.9919206Z 2025-08-14T21:57:10.9919294Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9919387Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9919508Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9919753Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9919860Z return mod(*inputs) 2025-08-14T21:57:10.9920091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9920173Z x = self.forward_features(x) 2025-08-14T21:57:10.9920444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9920525Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9920789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9920858Z x = block(x) 2025-08-14T21:57:10.9921089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:10.9921199Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:10.9921430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:57:10.9921503Z x = self.act(x) 2025-08-14T21:57:10.9921516Z 2025-08-14T21:57:10.9921612Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9921732Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9921979Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9922055Z return mod(*inputs) 2025-08-14T21:57:10.9922282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9922370Z x = self.forward_features(x) 2025-08-14T21:57:10.9922637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9922719Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9922981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9923052Z x = block(x) 2025-08-14T21:57:10.9923310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:10.9923417Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9923664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:57:10.9923860Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:57:10.9923873Z 2025-08-14T21:57:10.9923964Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9924054Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9924148Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9924239Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9924361Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9924605Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9924707Z return mod(*inputs) 2025-08-14T21:57:10.9924939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9925021Z x = self.forward_features(x) 2025-08-14T21:57:10.9925288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9925375Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9925631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9925704Z x = block(x) 2025-08-14T21:57:10.9925930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:10.9926035Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9926267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:57:10.9926357Z x = F.scaled_dot_product_attention( 2025-08-14T21:57:10.9926371Z 2025-08-14T21:57:10.9926482Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9926618Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9926755Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9931250Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9931331Z return mod(*inputs) 2025-08-14T21:57:10.9931561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9931649Z x = self.forward_features(x) 2025-08-14T21:57:10.9931914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9931995Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9932265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9932337Z x = block(x) 2025-08-14T21:57:10.9932575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:10.9932683Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:10.9932913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:57:10.9932990Z x = self.act(x) 2025-08-14T21:57:10.9933004Z 2025-08-14T21:57:10.9933091Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9933209Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9933457Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9933536Z return mod(*inputs) 2025-08-14T21:57:10.9933769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9933852Z x = self.forward_features(x) 2025-08-14T21:57:10.9934147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9934235Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9934494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9934584Z x = block(x) 2025-08-14T21:57:10.9934816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:10.9934920Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9935151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 165, in forward 2025-08-14T21:57:10.9935338Z qkv = self.qkv(x).reshape(B, H * W, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) 2025-08-14T21:57:10.9935351Z 2025-08-14T21:57:10.9935440Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9935537Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9935646Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9935735Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9935864Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9936107Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9936186Z return mod(*inputs) 2025-08-14T21:57:10.9936413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9936493Z x = self.forward_features(x) 2025-08-14T21:57:10.9936768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9936848Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9937104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9937176Z x = block(x) 2025-08-14T21:57:10.9937402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-08-14T21:57:10.9937517Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9937766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-08-14T21:57:10.9937856Z x = F.scaled_dot_product_attention( 2025-08-14T21:57:10.9937869Z 2025-08-14T21:57:10.9937962Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9938049Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9938167Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9938413Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9938489Z return mod(*inputs) 2025-08-14T21:57:10.9938721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9938804Z x = self.forward_features(x) 2025-08-14T21:57:10.9939068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-08-14T21:57:10.9939160Z x = self.forward_tokens(x) 2025-08-14T21:57:10.9939419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-08-14T21:57:10.9939490Z x = block(x) 2025-08-14T21:57:10.9939726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 211, in forward 2025-08-14T21:57:10.9939831Z x = x + self.drop_path2(self.mlp(self.norm2(x))) 2025-08-14T21:57:10.9940065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:57:10.9940136Z x = self.act(x) 2025-08-14T21:57:10.9940149Z 2025-08-14T21:57:10.9940239Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9940334Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9940452Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9940693Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9940798Z return mod(*inputs) 2025-08-14T21:57:10.9941047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9941173Z x = self.forward_features(x) 2025-08-14T21:57:10.9941535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:57:10.9941618Z x = self.forward_cls(x) 2025-08-14T21:57:10.9941872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 651, in forward_cls 2025-08-14T21:57:10.9941962Z x = torch.cat([cls_tokens, x], dim=1) 2025-08-14T21:57:10.9941976Z 2025-08-14T21:57:10.9942094Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9942345Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9942422Z return mod(*inputs) 2025-08-14T21:57:10.9942680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9942764Z x = self.forward_features(x) 2025-08-14T21:57:10.9943027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:57:10.9943118Z x = self.forward_cls(x) 2025-08-14T21:57:10.9943371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:57:10.9943443Z x = block(x) 2025-08-14T21:57:10.9943676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-14T21:57:10.9943826Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9944060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 244, in forward 2025-08-14T21:57:10.9944238Z kv = self.kv(x).reshape(B, N, 2, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-08-14T21:57:10.9944253Z 2025-08-14T21:57:10.9944374Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9944649Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9944727Z return mod(*inputs) 2025-08-14T21:57:10.9944962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9945044Z x = self.forward_features(x) 2025-08-14T21:57:10.9945306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:57:10.9945393Z x = self.forward_cls(x) 2025-08-14T21:57:10.9945643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:57:10.9945712Z x = block(x) 2025-08-14T21:57:10.9945947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-14T21:57:10.9946102Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9946340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 246, in forward 2025-08-14T21:57:10.9946506Z q = self.q(x[:, :1, :]).reshape(B, self.num_heads, 1, self.head_dim) * self.scale 2025-08-14T21:57:10.9946520Z 2025-08-14T21:57:10.9946643Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9946970Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9947049Z return mod(*inputs) 2025-08-14T21:57:10.9947282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9947374Z x = self.forward_features(x) 2025-08-14T21:57:10.9947640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:57:10.9947728Z x = self.forward_cls(x) 2025-08-14T21:57:10.9948000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:57:10.9948073Z x = block(x) 2025-08-14T21:57:10.9948311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-14T21:57:10.9948490Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9948718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 252, in forward 2025-08-14T21:57:10.9948910Z cls_embed = (attn @ v).transpose(1, 2).reshape(B, 1, self.head_dim * self.num_heads) 2025-08-14T21:57:10.9948923Z 2025-08-14T21:57:10.9949015Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9949113Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9949236Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9949481Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9949595Z return mod(*inputs) 2025-08-14T21:57:10.9949824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9949918Z x = self.forward_features(x) 2025-08-14T21:57:10.9950188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:57:10.9950269Z x = self.forward_cls(x) 2025-08-14T21:57:10.9950525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:57:10.9950593Z x = block(x) 2025-08-14T21:57:10.9950826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-14T21:57:10.9950994Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-14T21:57:10.9951221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:57:10.9951300Z x = self.act(x) 2025-08-14T21:57:10.9951315Z 2025-08-14T21:57:10.9951408Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9951557Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9951806Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9951887Z return mod(*inputs) 2025-08-14T21:57:10.9952116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9952205Z x = self.forward_features(x) 2025-08-14T21:57:10.9952468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:57:10.9952554Z x = self.forward_cls(x) 2025-08-14T21:57:10.9952798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:57:10.9952870Z x = block(x) 2025-08-14T21:57:10.9953102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-14T21:57:10.9953265Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-14T21:57:10.9953279Z 2025-08-14T21:57:10.9953789Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9953920Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9954169Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9954252Z return mod(*inputs) 2025-08-14T21:57:10.9954482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9954565Z x = self.forward_features(x) 2025-08-14T21:57:10.9954833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:57:10.9954913Z x = self.forward_cls(x) 2025-08-14T21:57:10.9955158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:57:10.9955237Z x = block(x) 2025-08-14T21:57:10.9955528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 298, in forward 2025-08-14T21:57:10.9955696Z return torch.cat([cls_embed, x[:, 1:]], dim=1) 2025-08-14T21:57:10.9955710Z 2025-08-14T21:57:10.9955866Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9960278Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9960366Z return mod(*inputs) 2025-08-14T21:57:10.9960597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9960680Z x = self.forward_features(x) 2025-08-14T21:57:10.9960952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:57:10.9961032Z x = self.forward_cls(x) 2025-08-14T21:57:10.9961284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:57:10.9961391Z x = block(x) 2025-08-14T21:57:10.9961625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-14T21:57:10.9961776Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9962006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 244, in forward 2025-08-14T21:57:10.9962189Z kv = self.kv(x).reshape(B, N, 2, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-08-14T21:57:10.9962202Z 2025-08-14T21:57:10.9962321Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9962566Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9962651Z return mod(*inputs) 2025-08-14T21:57:10.9962880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9962965Z x = self.forward_features(x) 2025-08-14T21:57:10.9963242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:57:10.9963350Z x = self.forward_cls(x) 2025-08-14T21:57:10.9963606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:57:10.9963676Z x = block(x) 2025-08-14T21:57:10.9963905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-14T21:57:10.9964058Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9964283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 246, in forward 2025-08-14T21:57:10.9964444Z q = self.q(x[:, :1, :]).reshape(B, self.num_heads, 1, self.head_dim) * self.scale 2025-08-14T21:57:10.9964463Z 2025-08-14T21:57:10.9964583Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9964829Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9964916Z return mod(*inputs) 2025-08-14T21:57:10.9965144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9965226Z x = self.forward_features(x) 2025-08-14T21:57:10.9965495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:57:10.9965572Z x = self.forward_cls(x) 2025-08-14T21:57:10.9965818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:57:10.9965894Z x = block(x) 2025-08-14T21:57:10.9966123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-08-14T21:57:10.9966273Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-08-14T21:57:10.9966498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 252, in forward 2025-08-14T21:57:10.9966703Z cls_embed = (attn @ v).transpose(1, 2).reshape(B, 1, self.head_dim * self.num_heads) 2025-08-14T21:57:10.9966718Z 2025-08-14T21:57:10.9966821Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9966935Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9967061Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9967305Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9967381Z return mod(*inputs) 2025-08-14T21:57:10.9967615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9967699Z x = self.forward_features(x) 2025-08-14T21:57:10.9967962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:57:10.9968046Z x = self.forward_cls(x) 2025-08-14T21:57:10.9968319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:57:10.9968394Z x = block(x) 2025-08-14T21:57:10.9968626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-14T21:57:10.9968791Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-14T21:57:10.9969024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 45, in forward 2025-08-14T21:57:10.9969099Z x = self.act(x) 2025-08-14T21:57:10.9969112Z 2025-08-14T21:57:10.9969201Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9969325Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9969569Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9969651Z return mod(*inputs) 2025-08-14T21:57:10.9969883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9969970Z x = self.forward_features(x) 2025-08-14T21:57:10.9970322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:57:10.9970404Z x = self.forward_cls(x) 2025-08-14T21:57:10.9970724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:57:10.9970799Z x = block(x) 2025-08-14T21:57:10.9971026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-08-14T21:57:10.9971189Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-08-14T21:57:10.9971202Z 2025-08-14T21:57:10.9971292Z cudagraph partition due to non gpu ops 2025-08-14T21:57:10.9971409Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9971657Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9971733Z return mod(*inputs) 2025-08-14T21:57:10.9971962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-08-14T21:57:10.9972050Z x = self.forward_features(x) 2025-08-14T21:57:10.9972315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-08-14T21:57:10.9972399Z x = self.forward_cls(x) 2025-08-14T21:57:10.9972642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-08-14T21:57:10.9972711Z x = block(x) 2025-08-14T21:57:10.9972945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 298, in forward 2025-08-14T21:57:10.9973051Z return torch.cat([cls_embed, x[:, 1:]], dim=1) 2025-08-14T21:57:10.9973064Z 2025-08-14T21:57:10.9973181Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9973428Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9973541Z return mod(*inputs) 2025-08-14T21:57:10.9973776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-08-14T21:57:10.9973858Z x = self.forward_head(x) 2025-08-14T21:57:10.9974133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 816, in forward_head 2025-08-14T21:57:10.9974223Z aux = self.aux_head(x[:, 1:]) 2025-08-14T21:57:10.9974236Z 2025-08-14T21:57:10.9974353Z cudagraph partition due to non gpu ops. Found from : 2025-08-14T21:57:10.9974600Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-08-14T21:57:10.9974674Z return mod(*inputs) 2025-08-14T21:57:10.9974902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-08-14T21:57:10.9974987Z x = self.forward_head(x) 2025-08-14T21:57:10.9975242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 816, in forward_head 2025-08-14T21:57:10.9975351Z aux = self.aux_head(x[:, 1:]) 2025-08-14T21:57:10.9975364Z 2025-08-14T21:57:10.9975462Z cudagraph partition due to non gpu ops 2025-08-14T21:57:22.0067127Z Compilation time (from dynamo_timed): 32.878704943 2025-08-14T21:57:22.0067678Z pass 2025-08-14T21:57:22.0078569Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-08-14T21:57:22.0079849Z TIMING: _recursive_pre_grad_passes:0.06743 _recursive_joint_graph_passes:0.65469 _recursive_post_grad_passes:0.19544 async_compile.wait:0.79491 code_gen:11.60898 inductor_compile:16.55039 backend_compile:28.61557 gc:0.00049 entire_frame_compile:32.8787 total_wall_time:32.8787 2025-08-14T21:57:22.0081014Z STATS: call_* op count: 505 | FakeTensorMode.__torch_dispatch__:47476 | FakeTensor.__torch_dispatch__:7017 | ProxyTorchDispatchMode.__torch_dispatch__:6988 2025-08-14T21:57:22.0081652Z Dynamo produced 1 graphs covering 505 ops with 0 graph breaks (0 unique) 2025-08-14T21:57:28.0508702Z 2025-08-14T21:57:30.2339650Z loading model: 0it [00:00, ?it/s] 2025-08-14T21:57:30.2339914Z 2025-08-14T21:57:30.3481704Z model.safetensors: 0% 0.00/756M [00:00> $GITHUB_ENV 2025-08-14T21:59:38.2466048Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-08-14T21:59:38.2474293Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:59:38.2474695Z env: 2025-08-14T21:59:38.2474928Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:38.2475270Z DOCKER_CONTAINER_ID: 711bd4f070a038d51305c7bcf919fd9f32d0e6a448a24ff2a7c64e4a1b272d89 2025-08-14T21:59:38.2475639Z ##[endgroup] 2025-08-14T21:59:38.2501795Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-08-14T21:59:38.4990499Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:59:39.6487355Z Collecting boto3==1.35.33 2025-08-14T21:59:39.6681935Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-08-14T21:59:39.9844475Z Collecting psutil==7.0.0 2025-08-14T21:59:39.9889450Z 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) 2025-08-14T21:59:40.0198594Z Collecting pynvml==12.0.0 2025-08-14T21:59:40.0230812Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-08-14T21:59:40.0717714Z Collecting s3transfer<0.11.0,>=0.10.0 2025-08-14T21:59:40.0756268Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-08-14T21:59:40.0822673Z 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) 2025-08-14T21:59:41.2351192Z Collecting botocore<1.36.0,>=1.35.33 2025-08-14T21:59:41.2393293Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-08-14T21:59:41.4599055Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-08-14T21:59:41.4633146Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-08-14T21:59:41.4747417Z 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) 2025-08-14T21:59:41.4756703Z 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) 2025-08-14T21:59:41.6206729Z 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) 2025-08-14T21:59:41.7584593Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-08-14T21:59:42.3126115Z Attempting uninstall: nvidia-ml-py 2025-08-14T21:59:42.3127385Z Found existing installation: nvidia-ml-py 11.525.84 2025-08-14T21:59:42.3139306Z Uninstalling nvidia-ml-py-11.525.84: 2025-08-14T21:59:42.3359236Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-08-14T21:59:42.4023036Z Attempting uninstall: psutil 2025-08-14T21:59:42.4023901Z Found existing installation: psutil 5.9.8 2025-08-14T21:59:42.4098479Z Uninstalling psutil-5.9.8: 2025-08-14T21:59:42.4099481Z Successfully uninstalled psutil-5.9.8 2025-08-14T21:59:42.5972633Z 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 2025-08-14T21:59:42.7063563Z + DEVICE_NAME= 2025-08-14T21:59:42.7063804Z + DEVICE_TYPE= 2025-08-14T21:59:42.7064129Z + command -v nvidia-smi 2025-08-14T21:59:42.7064411Z + command -v rocminfo 2025-08-14T21:59:42.7064661Z + echo DEVICE_NAME= 2025-08-14T21:59:42.7066324Z + echo DEVICE_TYPE= 2025-08-14T21:59:42.7083647Z ##[group]Run set -eux 2025-08-14T21:59:42.7083871Z set -eux 2025-08-14T21:59:42.7084040Z  2025-08-14T21:59:42.7084234Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-08-14T21:59:42.7084513Z  echo "Missing github-token input" 2025-08-14T21:59:42.7084742Z  exit 1 2025-08-14T21:59:42.7084931Z fi 2025-08-14T21:59:42.7090164Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:59:42.7090461Z env: 2025-08-14T21:59:42.7090696Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:42.7091058Z DOCKER_CONTAINER_ID: 711bd4f070a038d51305c7bcf919fd9f32d0e6a448a24ff2a7c64e4a1b272d89 2025-08-14T21:59:42.7095551Z DEVICE_NAME: 2025-08-14T21:59:42.7095732Z DEVICE_TYPE: 2025-08-14T21:59:42.7096113Z GITHUB_TOKEN: *** 2025-08-14T21:59:42.7096288Z ##[endgroup] 2025-08-14T21:59:42.7125090Z + [[ -z *** ]] 2025-08-14T21:59:42.7161913Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-08-14T21:59:42.7162228Z with: 2025-08-14T21:59:42.7162519Z github-token: *** 2025-08-14T21:59:42.7162699Z env: 2025-08-14T21:59:42.7162953Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:42.7163303Z DOCKER_CONTAINER_ID: 711bd4f070a038d51305c7bcf919fd9f32d0e6a448a24ff2a7c64e4a1b272d89 2025-08-14T21:59:42.7167947Z DEVICE_NAME: 2025-08-14T21:59:42.7168123Z DEVICE_TYPE: 2025-08-14T21:59:42.7168314Z ##[endgroup] 2025-08-14T21:59:42.7179667Z ##[group]Run set -eux 2025-08-14T21:59:42.7179948Z set -eux 2025-08-14T21:59:42.7180117Z  2025-08-14T21:59:42.7180467Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-08-14T21:59:42.7202133Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:59:42.7202517Z env: 2025-08-14T21:59:42.7202699Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:42.7203056Z DOCKER_CONTAINER_ID: 711bd4f070a038d51305c7bcf919fd9f32d0e6a448a24ff2a7c64e4a1b272d89 2025-08-14T21:59:42.7203430Z DEVICE_NAME: 2025-08-14T21:59:42.7203601Z DEVICE_TYPE: 2025-08-14T21:59:42.7203893Z GITHUB_TOKEN: *** 2025-08-14T21:59:42.7204083Z ##[endgroup] 2025-08-14T21:59:42.7230827Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 16976338999 i-0d468e35f2989a8d1 2025-08-14T21:59:44.1871349Z setting job-id=48128301892 2025-08-14T21:59:44.1871994Z setting job-name=linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_freezing_avx2_timm, 2, 2, linux.10xlarge.avx2) 2025-08-14T21:59:44.1976741Z ##[group]Run set -eux 2025-08-14T21:59:44.1976964Z set -eux 2025-08-14T21:59:44.1977138Z  2025-08-14T21:59:44.1977439Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-08-14T21:59:44.1977832Z  --schema-version "${SCHEMA_VERSION}" \ 2025-08-14T21:59:44.1978185Z  --repo "${REPO}" \ 2025-08-14T21:59:44.1978417Z  --head-branch "${HEAD_BRANCH}" \ 2025-08-14T21:59:44.1978671Z  --head-sha "${HEAD_SHA}" \ 2025-08-14T21:59:44.1978917Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-08-14T21:59:44.1979187Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-08-14T21:59:44.1979431Z  --job-id "${JOB_ID}" \ 2025-08-14T21:59:44.1979671Z  --job-name "${JOB_NAME}" 2025-08-14T21:59:44.1985197Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:59:44.1985476Z env: 2025-08-14T21:59:44.1985641Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:44.1985986Z DOCKER_CONTAINER_ID: 711bd4f070a038d51305c7bcf919fd9f32d0e6a448a24ff2a7c64e4a1b272d89 2025-08-14T21:59:44.1986406Z DEVICE_NAME: 2025-08-14T21:59:44.1986582Z DEVICE_TYPE: 2025-08-14T21:59:44.1986755Z SCHEMA_VERSION: v3 2025-08-14T21:59:44.1987024Z REPO: pytorch/pytorch 2025-08-14T21:59:44.1987246Z HEAD_BRANCH: refs/heads/main 2025-08-14T21:59:44.1987483Z HEAD_SHA: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:59:44.1987741Z WORKFLOW_RUN_ID: 16976338999 2025-08-14T21:59:44.1987944Z RUN_ATTEMPT: 1 2025-08-14T21:59:44.1988118Z JOB_ID: 48128301892 2025-08-14T21:59:44.1988606Z JOB_NAME: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_freezing_avx2_timm, 2, 2, linux.10xlarge.avx2) 2025-08-14T21:59:44.1989119Z ##[endgroup] 2025-08-14T21:59:44.2020651Z + 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 48128301892 --job-name 'linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_freezing_avx2_timm, 2, 2, linux.10xlarge.avx2)' 2025-08-14T21:59:44.2353089Z ##[group]Run set -eux 2025-08-14T21:59:44.2353724Z set -eux 2025-08-14T21:59:44.2353927Z  2025-08-14T21:59:44.2354227Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-08-14T21:59:44.2359587Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:59:44.2359973Z env: 2025-08-14T21:59:44.2360157Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:44.2360517Z DOCKER_CONTAINER_ID: 711bd4f070a038d51305c7bcf919fd9f32d0e6a448a24ff2a7c64e4a1b272d89 2025-08-14T21:59:44.2360895Z DEVICE_NAME: 2025-08-14T21:59:44.2361075Z DEVICE_TYPE: 2025-08-14T21:59:44.2361248Z ##[endgroup] 2025-08-14T21:59:44.2389761Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-08-14T21:59:44.2836567Z INFO:root:Fail to import torch to get the device name 2025-08-14T21:59:44.2940561Z ##[group]Run set -eux 2025-08-14T21:59:44.2940788Z set -eux 2025-08-14T21:59:44.2940964Z  2025-08-14T21:59:44.2941155Z # TODO (huydhn): Implement this part 2025-08-14T21:59:44.2941445Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:59:44.2946211Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:59:44.2946488Z env: 2025-08-14T21:59:44.2946669Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:44.2947257Z DOCKER_CONTAINER_ID: 711bd4f070a038d51305c7bcf919fd9f32d0e6a448a24ff2a7c64e4a1b272d89 2025-08-14T21:59:44.2947634Z DEVICE_NAME: 2025-08-14T21:59:44.2947809Z DEVICE_TYPE: 2025-08-14T21:59:44.2947987Z ##[endgroup] 2025-08-14T21:59:44.2976344Z + echo 'dependencies={}' 2025-08-14T21:59:44.2992119Z ##[group]Run set -eux 2025-08-14T21:59:44.2992339Z set -eux 2025-08-14T21:59:44.2992510Z  2025-08-14T21:59:44.2992715Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-08-14T21:59:44.2993058Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-08-14T21:59:44.2993478Z  # We don't want the job to fail if the directory doesn't exist 2025-08-14T21:59:44.2993771Z  exit 0 2025-08-14T21:59:44.2993944Z fi 2025-08-14T21:59:44.2994100Z  2025-08-14T21:59:44.2994289Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-08-14T21:59:44.2994658Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-08-14T21:59:44.2995070Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-08-14T21:59:44.2995390Z  --metadata "${BENCHMARK_METADATA}" \ 2025-08-14T21:59:44.2995923Z  --runners "${RUNNER_INFO}" \ 2025-08-14T21:59:44.2996193Z  --dependencies "${DEPENDENCIES}" \ 2025-08-14T21:59:44.2996441Z  --dry-run 2025-08-14T21:59:44.2996636Z else 2025-08-14T21:59:44.2996930Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-08-14T21:59:44.2997412Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-08-14T21:59:44.3001714Z  --metadata "${BENCHMARK_METADATA}" \ 2025-08-14T21:59:44.3001982Z  --runners "${RUNNER_INFO}" \ 2025-08-14T21:59:44.3002241Z  --dependencies "${DEPENDENCIES}" 2025-08-14T21:59:44.3002471Z fi 2025-08-14T21:59:44.3006987Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:59:44.3007280Z env: 2025-08-14T21:59:44.3007453Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:44.3007810Z DOCKER_CONTAINER_ID: 711bd4f070a038d51305c7bcf919fd9f32d0e6a448a24ff2a7c64e4a1b272d89 2025-08-14T21:59:44.3008200Z DEVICE_NAME: 2025-08-14T21:59:44.3008372Z DEVICE_TYPE: 2025-08-14T21:59:44.3008571Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-08-14T21:59:44.3008808Z DRY_RUN: false 2025-08-14T21:59:44.3009901Z BENCHMARK_METADATA: {"timestamp": 1755208784, "schema_version": "v3", "name": "linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_freezing_avx2_timm, 2, 2, linux.10xlarge.avx2)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "1fc683cf17c8c673044538d10266c00f92987be2", "workflow_id": 16976338999, "run_attempt": 1, "job_id": 48128301892} 2025-08-14T21:59:44.3011274Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 40, "avail_mem_in_gb": 157, "extra_info": {"hostname": "ip-10-0-14-35.ec2.internal"}, "name": "", "type": ""}] 2025-08-14T21:59:44.3011790Z DEPENDENCIES: {} 2025-08-14T21:59:44.3012075Z ##[endgroup] 2025-08-14T21:59:44.3037974Z + [[ ! -d test/test-reports ]] 2025-08-14T21:59:44.3038247Z + [[ false == \t\r\u\e ]] 2025-08-14T21:59:44.3040396Z + 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": 1755208784, "schema_version": "v3", "name": "linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_freezing_avx2_timm, 2, 2, linux.10xlarge.avx2)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "1fc683cf17c8c673044538d10266c00f92987be2", "workflow_id": 16976338999, "run_attempt": 1, "job_id": 48128301892}' --runners '[{"cpu_info": "x86_64", "cpu_count": 40, "avail_mem_in_gb": 157, "extra_info": {"hostname": "ip-10-0-14-35.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}' 2025-08-14T21:59:44.4603009Z INFO:root:Upload test/test-reports/inference_timm_models.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976338999/48128301892/inference_timm_models.json 2025-08-14T21:59:44.4969238Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-08-14T21:59:44.7316482Z ##[group]Run cat test/**/*_toprint.log || true 2025-08-14T21:59:44.7316796Z cat test/**/*_toprint.log || true 2025-08-14T21:59:44.7330445Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:59:44.7330737Z env: 2025-08-14T21:59:44.7330997Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:44.7331343Z DOCKER_CONTAINER_ID: 711bd4f070a038d51305c7bcf919fd9f32d0e6a448a24ff2a7c64e4a1b272d89 2025-08-14T21:59:44.7331724Z DEVICE_NAME: 2025-08-14T21:59:44.7331905Z DEVICE_TYPE: 2025-08-14T21:59:44.7332083Z ##[endgroup] 2025-08-14T21:59:44.7424303Z cat: 'test/**/*_toprint.log': No such file or directory 2025-08-14T21:59:44.7474570Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-08-14T21:59:44.7474878Z kill "$MONITOR_SCRIPT_PID" 2025-08-14T21:59:44.7483874Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:59:44.7484165Z env: 2025-08-14T21:59:44.7484347Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:44.7484696Z DOCKER_CONTAINER_ID: 711bd4f070a038d51305c7bcf919fd9f32d0e6a448a24ff2a7c64e4a1b272d89 2025-08-14T21:59:44.7485065Z DEVICE_NAME: 2025-08-14T21:59:44.7485242Z DEVICE_TYPE: 2025-08-14T21:59:44.7485435Z MONITOR_SCRIPT_PID: 48726 2025-08-14T21:59:44.7485636Z ##[endgroup] 2025-08-14T21:59:44.7622633Z Prepare all required actions 2025-08-14T21:59:44.7623106Z Getting action download info 2025-08-14T21:59:44.8942726Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-08-14T21:59:45.1378874Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-08-14T21:59:45.6159213Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-08-14T21:59:45.6159479Z with: 2025-08-14T21:59:45.6159794Z file-suffix: test-cpu_inductor_freezing_avx2_timm-2-2-linux.10xlarge.avx2_48128301892 2025-08-14T21:59:45.6160172Z s3-bucket: gha-artifacts 2025-08-14T21:59:45.6160364Z env: 2025-08-14T21:59:45.6160538Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:45.6160885Z DOCKER_CONTAINER_ID: 711bd4f070a038d51305c7bcf919fd9f32d0e6a448a24ff2a7c64e4a1b272d89 2025-08-14T21:59:45.6161240Z DEVICE_NAME: 2025-08-14T21:59:45.6161427Z DEVICE_TYPE: 2025-08-14T21:59:45.6161602Z ##[endgroup] 2025-08-14T21:59:45.6184176Z ##[group]Run # Remove any previous test jsons if they exist 2025-08-14T21:59:45.6184534Z # Remove any previous test jsons if they exist 2025-08-14T21:59:45.6184809Z rm -f test-jsons-*.zip 2025-08-14T21:59:45.6185135Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-08-14T21:59:45.6190471Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:59:45.6190744Z env: 2025-08-14T21:59:45.6190916Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:45.6191262Z DOCKER_CONTAINER_ID: 711bd4f070a038d51305c7bcf919fd9f32d0e6a448a24ff2a7c64e4a1b272d89 2025-08-14T21:59:45.6191627Z DEVICE_NAME: 2025-08-14T21:59:45.6191806Z DEVICE_TYPE: 2025-08-14T21:59:45.6196302Z FILE_SUFFIX: test-cpu_inductor_freezing_avx2_timm-2-2-linux.10xlarge.avx2_48128301892 2025-08-14T21:59:45.6196665Z ##[endgroup] 2025-08-14T21:59:45.6391247Z adding: test/test-reports/inference_timm_models.json (deflated 99%) 2025-08-14T21:59:45.6417040Z ##[group]Run # Remove any previous test reports if they exist 2025-08-14T21:59:45.6417412Z # Remove any previous test reports if they exist 2025-08-14T21:59:45.6417712Z rm -f test-reports-*.zip 2025-08-14T21:59:45.6418076Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-08-14T21:59:45.6422996Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:59:45.6423274Z env: 2025-08-14T21:59:45.6423451Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:45.6423792Z DOCKER_CONTAINER_ID: 711bd4f070a038d51305c7bcf919fd9f32d0e6a448a24ff2a7c64e4a1b272d89 2025-08-14T21:59:45.6424306Z DEVICE_NAME: 2025-08-14T21:59:45.6424522Z DEVICE_TYPE: 2025-08-14T21:59:45.6424863Z FILE_SUFFIX: test-cpu_inductor_freezing_avx2_timm-2-2-linux.10xlarge.avx2_48128301892 2025-08-14T21:59:45.6425213Z ##[endgroup] 2025-08-14T21:59:45.6508095Z adding: test/test-reports/inference_timm_models.csv (deflated 62%) 2025-08-14T21:59:45.6524969Z ##[group]Run # Remove any previous usage logs if they exist 2025-08-14T21:59:45.6525384Z # Remove any previous usage logs if they exist 2025-08-14T21:59:45.6525712Z rm -f logs-*.zip 2025-08-14T21:59:45.6532206Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-08-14T21:59:45.6532588Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-08-14T21:59:45.6537263Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:59:45.6537548Z env: 2025-08-14T21:59:45.6537712Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:45.6538057Z DOCKER_CONTAINER_ID: 711bd4f070a038d51305c7bcf919fd9f32d0e6a448a24ff2a7c64e4a1b272d89 2025-08-14T21:59:45.6538425Z DEVICE_NAME: 2025-08-14T21:59:45.6538596Z DEVICE_TYPE: 2025-08-14T21:59:45.6538899Z FILE_SUFFIX: test-cpu_inductor_freezing_avx2_timm-2-2-linux.10xlarge.avx2_48128301892 2025-08-14T21:59:45.6539248Z ##[endgroup] 2025-08-14T21:59:45.6606441Z adding: usage_log.txt (deflated 96%) 2025-08-14T21:59:45.6621055Z 2025-08-14T21:59:45.6621807Z zip error: Nothing to do! (logs-test-cpu_inductor_freezing_avx2_timm-2-2-linux.10xlarge.avx2_48128301892.zip) 2025-08-14T21:59:45.6641073Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-08-14T21:59:45.6641462Z # Remove any previous debugging artifacts if they exist 2025-08-14T21:59:45.6641890Z rm -f debug-*.zip 2025-08-14T21:59:45.6642160Z if [ -d 'test/debug' ]; then 2025-08-14T21:59:45.6642431Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-08-14T21:59:45.6642685Z fi 2025-08-14T21:59:45.6647171Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:59:45.6647447Z env: 2025-08-14T21:59:45.6647628Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:45.6647983Z DOCKER_CONTAINER_ID: 711bd4f070a038d51305c7bcf919fd9f32d0e6a448a24ff2a7c64e4a1b272d89 2025-08-14T21:59:45.6648346Z DEVICE_NAME: 2025-08-14T21:59:45.6648526Z DEVICE_TYPE: 2025-08-14T21:59:45.6648847Z FILE_SUFFIX: test-cpu_inductor_freezing_avx2_timm-2-2-linux.10xlarge.avx2_48128301892 2025-08-14T21:59:45.6649202Z ##[endgroup] 2025-08-14T21:59:45.6733776Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T21:59:45.6734032Z with: 2025-08-14T21:59:45.6734217Z s3-bucket: gha-artifacts 2025-08-14T21:59:45.6734468Z s3-prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T21:59:45.6734729Z retention-days: 14 2025-08-14T21:59:45.6734930Z if-no-files-found: warn 2025-08-14T21:59:45.6735143Z path: test-jsons-*.zip 2025-08-14T21:59:45.6735334Z name: artifact 2025-08-14T21:59:45.6735515Z region: us-east-1 2025-08-14T21:59:45.6735695Z env: 2025-08-14T21:59:45.6735855Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:45.6736206Z DOCKER_CONTAINER_ID: 711bd4f070a038d51305c7bcf919fd9f32d0e6a448a24ff2a7c64e4a1b272d89 2025-08-14T21:59:45.6736579Z DEVICE_NAME: 2025-08-14T21:59:45.6755627Z DEVICE_TYPE: 2025-08-14T21:59:45.6755963Z ##[endgroup] 2025-08-14T21:59:46.0391944Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-14T21:59:46.0392394Z With the provided path, there will be 1 file uploaded 2025-08-14T21:59:46.0392755Z Uploading to s3 prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T21:59:46.0447099Z Starting upload of test-jsons-test-cpu_inductor_freezing_avx2_timm-2-2-linux.10xlarge.avx2_48128301892.zip 2025-08-14T21:59:46.2105053Z Finished upload of test-jsons-test-cpu_inductor_freezing_avx2_timm-2-2-linux.10xlarge.avx2_48128301892.zip 2025-08-14T21:59:46.2269361Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T21:59:46.2269614Z with: 2025-08-14T21:59:46.2269799Z s3-bucket: gha-artifacts 2025-08-14T21:59:46.2270048Z s3-prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T21:59:46.2270311Z retention-days: 14 2025-08-14T21:59:46.2270504Z if-no-files-found: error 2025-08-14T21:59:46.2270714Z path: test-reports-*.zip 2025-08-14T21:59:46.2270913Z name: artifact 2025-08-14T21:59:46.2271095Z region: us-east-1 2025-08-14T21:59:46.2271272Z env: 2025-08-14T21:59:46.2271448Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:46.2271871Z DOCKER_CONTAINER_ID: 711bd4f070a038d51305c7bcf919fd9f32d0e6a448a24ff2a7c64e4a1b272d89 2025-08-14T21:59:46.2272249Z DEVICE_NAME: 2025-08-14T21:59:46.2272490Z DEVICE_TYPE: 2025-08-14T21:59:46.2272654Z ##[endgroup] 2025-08-14T21:59:46.5774168Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-14T21:59:46.5774666Z With the provided path, there will be 1 file uploaded 2025-08-14T21:59:46.5775029Z Uploading to s3 prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T21:59:46.5834184Z Starting upload of test-reports-test-cpu_inductor_freezing_avx2_timm-2-2-linux.10xlarge.avx2_48128301892.zip 2025-08-14T21:59:46.7087292Z Finished upload of test-reports-test-cpu_inductor_freezing_avx2_timm-2-2-linux.10xlarge.avx2_48128301892.zip 2025-08-14T21:59:46.7250172Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T21:59:46.7250429Z with: 2025-08-14T21:59:46.7250629Z s3-bucket: gha-artifacts 2025-08-14T21:59:46.7251022Z s3-prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T21:59:46.7251301Z retention-days: 14 2025-08-14T21:59:46.7251506Z if-no-files-found: ignore 2025-08-14T21:59:46.7251722Z path: logs-*.zip 2025-08-14T21:59:46.7251901Z name: artifact 2025-08-14T21:59:46.7252084Z region: us-east-1 2025-08-14T21:59:46.7252268Z env: 2025-08-14T21:59:46.7252434Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:46.7252791Z DOCKER_CONTAINER_ID: 711bd4f070a038d51305c7bcf919fd9f32d0e6a448a24ff2a7c64e4a1b272d89 2025-08-14T21:59:46.7253163Z DEVICE_NAME: 2025-08-14T21:59:46.7253755Z DEVICE_TYPE: 2025-08-14T21:59:46.7253928Z ##[endgroup] 2025-08-14T21:59:47.0767793Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-14T21:59:47.0768297Z With the provided path, there will be 1 file uploaded 2025-08-14T21:59:47.0768761Z Uploading to s3 prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T21:59:47.0819097Z Starting upload of logs-test-cpu_inductor_freezing_avx2_timm-2-2-linux.10xlarge.avx2_48128301892.zip 2025-08-14T21:59:47.2504270Z Finished upload of logs-test-cpu_inductor_freezing_avx2_timm-2-2-linux.10xlarge.avx2_48128301892.zip 2025-08-14T21:59:47.2724233Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T21:59:47.2724489Z with: 2025-08-14T21:59:47.2724677Z s3-bucket: gha-artifacts 2025-08-14T21:59:47.2724929Z s3-prefix: pytorch/pytorch/16976338999/1/artifact 2025-08-14T21:59:47.2725190Z retention-days: 14 2025-08-14T21:59:47.2725393Z if-no-files-found: ignore 2025-08-14T21:59:47.2725603Z path: debug-*.zip 2025-08-14T21:59:47.2725778Z name: artifact 2025-08-14T21:59:47.2725955Z region: us-east-1 2025-08-14T21:59:47.2726125Z env: 2025-08-14T21:59:47.2726284Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:47.2726695Z DOCKER_CONTAINER_ID: 711bd4f070a038d51305c7bcf919fd9f32d0e6a448a24ff2a7c64e4a1b272d89 2025-08-14T21:59:47.2727063Z DEVICE_NAME: 2025-08-14T21:59:47.2727240Z DEVICE_TYPE: 2025-08-14T21:59:47.2727411Z ##[endgroup] 2025-08-14T21:59:47.6215239Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-08-14T21:59:47.6387979Z ##[group]Run # shellcheck disable=SC2156 2025-08-14T21:59:47.6388292Z # shellcheck disable=SC2156 2025-08-14T21:59:47.6388725Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-08-14T21:59:47.6398398Z shell: /usr/bin/bash -e {0} 2025-08-14T21:59:47.6398620Z env: 2025-08-14T21:59:47.6398792Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:47.6399150Z DOCKER_CONTAINER_ID: 711bd4f070a038d51305c7bcf919fd9f32d0e6a448a24ff2a7c64e4a1b272d89 2025-08-14T21:59:47.6399525Z DEVICE_NAME: 2025-08-14T21:59:47.6399703Z DEVICE_TYPE: 2025-08-14T21:59:47.6399869Z ##[endgroup] 2025-08-14T21:59:47.9797718Z Prepare all required actions 2025-08-14T21:59:47.9798049Z Getting action download info 2025-08-14T21:59:48.0881299Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-08-14T21:59:48.0881645Z with: 2025-08-14T21:59:48.0881831Z job_id: 48128301892 2025-08-14T21:59:48.0882441Z job_name: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_freezing_avx2_timm, 2, 2, linux.10xlarge.avx2) 2025-08-14T21:59:48.0883032Z workflow_name: inductor-periodic 2025-08-14T21:59:48.0883267Z workflow_run_id: 16976338999 2025-08-14T21:59:48.0883475Z workflow_attempt: 1 2025-08-14T21:59:48.0883654Z env: 2025-08-14T21:59:48.0883812Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:48.0884157Z DOCKER_CONTAINER_ID: 711bd4f070a038d51305c7bcf919fd9f32d0e6a448a24ff2a7c64e4a1b272d89 2025-08-14T21:59:48.0884526Z DEVICE_NAME: 2025-08-14T21:59:48.0884697Z DEVICE_TYPE: 2025-08-14T21:59:48.0884870Z ##[endgroup] 2025-08-14T21:59:48.0897584Z ##[group]Run echo "workflow_id: 16976338999" 2025-08-14T21:59:48.0897851Z echo "workflow_id: 16976338999" 2025-08-14T21:59:48.0898101Z echo "workflow_attempt: 1" 2025-08-14T21:59:48.0898364Z echo "workflow_Name: inductor-periodic" 2025-08-14T21:59:48.0898630Z echo "job_id: 48128301892" 2025-08-14T21:59:48.0899174Z echo "job_name: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_freezing_avx2_timm, 2, 2, linux.10xlarge.avx2)" 2025-08-14T21:59:48.0899727Z echo "artifact_prefix: " 2025-08-14T21:59:48.0900176Z python3 --version 2025-08-14T21:59:48.0906323Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:59:48.0906609Z env: 2025-08-14T21:59:48.0906786Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:48.0907219Z DOCKER_CONTAINER_ID: 711bd4f070a038d51305c7bcf919fd9f32d0e6a448a24ff2a7c64e4a1b272d89 2025-08-14T21:59:48.0907580Z DEVICE_NAME: 2025-08-14T21:59:48.0907757Z DEVICE_TYPE: 2025-08-14T21:59:48.0907942Z ##[endgroup] 2025-08-14T21:59:48.0951429Z workflow_id: 16976338999 2025-08-14T21:59:48.0951730Z workflow_attempt: 1 2025-08-14T21:59:48.0951965Z workflow_Name: inductor-periodic 2025-08-14T21:59:48.0952221Z job_id: 48128301892 2025-08-14T21:59:48.0952730Z job_name: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_freezing_avx2_timm, 2, 2, linux.10xlarge.avx2) 2025-08-14T21:59:48.0953249Z artifact_prefix: 2025-08-14T21:59:48.0971506Z Python 3.9.23 2025-08-14T21:59:48.1013167Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-14T21:59:48.1013410Z with: 2025-08-14T21:59:48.1013570Z shell: bash 2025-08-14T21:59:48.1013744Z timeout_minutes: 5 2025-08-14T21:59:48.1013933Z max_attempts: 5 2025-08-14T21:59:48.1014112Z retry_wait_seconds: 30 2025-08-14T21:59:48.1014526Z 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 2025-08-14T21:59:48.1014960Z polling_interval_seconds: 1 2025-08-14T21:59:48.1015179Z warning_on_retry: true 2025-08-14T21:59:48.1015381Z continue_on_error: false 2025-08-14T21:59:48.1015576Z env: 2025-08-14T21:59:48.1015736Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:48.1020180Z DOCKER_CONTAINER_ID: 711bd4f070a038d51305c7bcf919fd9f32d0e6a448a24ff2a7c64e4a1b272d89 2025-08-14T21:59:48.1020650Z DEVICE_NAME: 2025-08-14T21:59:48.1020833Z DEVICE_TYPE: 2025-08-14T21:59:48.1021002Z ##[endgroup] 2025-08-14T21:59:48.4587637Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:59:48.5391772Z Collecting python-dateutil==2.8.2 2025-08-14T21:59:48.5565066Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-08-14T21:59:49.5760434Z Collecting boto3==1.35.42 2025-08-14T21:59:49.5801678Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-08-14T21:59:50.1083038Z Collecting pandas==2.1.3 2025-08-14T21:59:50.1127477Z Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB) 2025-08-14T21:59:50.2641370Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7) 2025-08-14T21:59:50.2660823Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0) 2025-08-14T21:59:50.2704664Z 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) 2025-08-14T21:59:50.2718151Z 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) 2025-08-14T21:59:50.2721550Z 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) 2025-08-14T21:59:50.3672295Z Collecting tzdata>=2022.1 2025-08-14T21:59:50.3724932Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-08-14T21:59:51.2374628Z Collecting numpy<2,>=1.22.4 2025-08-14T21:59:51.2419759Z Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) 2025-08-14T21:59:51.4631789Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1) 2025-08-14T21:59:51.4684432Z 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) 2025-08-14T21:59:51.4690804Z 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) 2025-08-14T21:59:51.4752510Z 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) 2025-08-14T21:59:51.4871798Z 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) 2025-08-14T21:59:51.4978890Z 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) 2025-08-14T21:59:51.4980155Z 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) 2025-08-14T21:59:51.6685897Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3 2025-08-14T21:59:57.1450914Z Attempting uninstall: boto3 2025-08-14T21:59:57.1451600Z Found existing installation: boto3 1.35.33 2025-08-14T21:59:57.1559660Z Uninstalling boto3-1.35.33: 2025-08-14T21:59:57.1577639Z Successfully uninstalled boto3-1.35.33 2025-08-14T21:59:57.2191050Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2 2025-08-14T21:59:58.1934968Z Command completed after 1 attempt(s). 2025-08-14T21:59:58.1992998Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-08-14T21:59:58.1993552Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-08-14T21:59:58.1993937Z  --workflow-run-id "16976338999" \ 2025-08-14T21:59:58.1998405Z  --workflow-name "inductor-periodic" \ 2025-08-14T21:59:58.1998792Z  --workflow-run-attempt "1" \ 2025-08-14T21:59:58.1999048Z  --job-id "48128301892" \ 2025-08-14T21:59:58.1999601Z  --job-name "linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_freezing_avx2_timm, 2, 2, linux.10xlarge.avx2)" \ 2025-08-14T21:59:58.2000150Z  --local-path "" \ 2025-08-14T21:59:58.2000382Z  --artifact-prefix "" 2025-08-14T21:59:58.2005630Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:59:58.2005911Z env: 2025-08-14T21:59:58.2006101Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:58.2006453Z DOCKER_CONTAINER_ID: 711bd4f070a038d51305c7bcf919fd9f32d0e6a448a24ff2a7c64e4a1b272d89 2025-08-14T21:59:58.2006818Z DEVICE_NAME: 2025-08-14T21:59:58.2007121Z DEVICE_TYPE: 2025-08-14T21:59:58.2007306Z ##[endgroup] 2025-08-14T21:59:59.3359932Z repo: pytorch/pytorch 2025-08-14T21:59:59.3360284Z Search for test log in s3 bucket: ossci-utilization 2025-08-14T21:59:59.3360813Z Downloading logs-test-cpu_inductor_freezing_avx2_timm-2-2-linux.10xlarge.avx2_48128301892.zip 2025-08-14T21:59:59.3361707Z extracting usage_log.txt from zip file logs-test-cpu_inductor_freezing_avx2_timm-2-2-linux.10xlarge.avx2_48128301892.zip 2025-08-14T21:59:59.3366422Z Converted Log Model: UtilizationMetadata: 2025-08-14T21:59:59.3367608Z UtilizationMetadata(level='metadata', workflow_id='16976338999', job_id='48128301892', workflow_name='inductor-periodic', job_name='linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_freezing_avx2_timm, 2, 2, linux.10xlarge.avx2)', usage_collect_interval=1.0, data_model_version=1.5, start_at=1755207135, gpu_count=0, cpu_count=40, gpu_type=None, error=None) 2025-08-14T21:59:59.3368839Z [Db Segments] detected pytest cmd: 9, generated segments: 9 2025-08-14T21:59:59.3369134Z [db model] Peek db timeseries 2025-08-14T21:59:59.3369352Z :{ 2025-08-14T21:59:59.3369525Z "created_at": 1755208799, 2025-08-14T21:59:59.3369738Z "type": "utilization", 2025-08-14T21:59:59.3369944Z "tags": [ 2025-08-14T21:59:59.3370116Z "record" 2025-08-14T21:59:59.3370287Z ], 2025-08-14T21:59:59.3370465Z "time_stamp": 1755207135, 2025-08-14T21:59:59.3370685Z "repo": "pytorch/pytorch", 2025-08-14T21:59:59.3370896Z "workflow_id": 16976338999, 2025-08-14T21:59:59.3371108Z "run_attempt": 1, 2025-08-14T21:59:59.3371301Z "job_id": 48128301892, 2025-08-14T21:59:59.3371516Z "workflow_name": "inductor-periodic", 2025-08-14T21:59:59.3372065Z "job_name": "linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_freezing_avx2_timm, 2, 2, linux.10xlarge.avx2)", 2025-08-14T21:59:59.3372582Z "json_data": "{}" 2025-08-14T21:59:59.3372764Z } 2025-08-14T21:59:59.3373140Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/16976338999/1/48128301892/metadata 2025-08-14T21:59:59.3373807Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/16976338999/1/48128301892/metadata 2025-08-14T21:59:59.3374491Z Writing 325 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/16976338999/1/48128301892/time_series 2025-08-14T21:59:59.3375185Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/16976338999/1/48128301892/time_series 2025-08-14T21:59:59.4285219Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-08-14T21:59:59.4285555Z with: 2025-08-14T21:59:59.4285718Z env: 2025-08-14T21:59:59.4285882Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:59.4286226Z DOCKER_CONTAINER_ID: 711bd4f070a038d51305c7bcf919fd9f32d0e6a448a24ff2a7c64e4a1b272d89 2025-08-14T21:59:59.4286591Z DEVICE_NAME: 2025-08-14T21:59:59.4286760Z DEVICE_TYPE: 2025-08-14T21:59:59.4286928Z ##[endgroup] 2025-08-14T21:59:59.4299597Z ##[group]Run set -eou pipefail 2025-08-14T21:59:59.4299867Z set -eou pipefail 2025-08-14T21:59:59.4300077Z  2025-08-14T21:59:59.4300375Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-08-14T21:59:59.4300807Z for _ in $(seq 1440); do 2025-08-14T21:59:59.4301064Z  # Break if no ssh session exists anymore 2025-08-14T21:59:59.4301325Z  if [ "$(who)" = "" ]; then 2025-08-14T21:59:59.4301547Z  break 2025-08-14T21:59:59.4301771Z  fi 2025-08-14T21:59:59.4301965Z  echo "." 2025-08-14T21:59:59.4302145Z  sleep 5 2025-08-14T21:59:59.4302322Z done 2025-08-14T21:59:59.4312078Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:59:59.4312355Z env: 2025-08-14T21:59:59.4312536Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:59.4312883Z DOCKER_CONTAINER_ID: 711bd4f070a038d51305c7bcf919fd9f32d0e6a448a24ff2a7c64e4a1b272d89 2025-08-14T21:59:59.4313244Z DEVICE_NAME: 2025-08-14T21:59:59.4313421Z DEVICE_TYPE: 2025-08-14T21:59:59.4313594Z ##[endgroup] 2025-08-14T21:59:59.4344193Z Holding runner for 2 hours until all ssh sessions have logged out 2025-08-14T21:59:59.4417092Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:59:59.4417667Z # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:59:59.4417999Z # shellcheck disable=SC2046 2025-08-14T21:59:59.4418282Z docker stop $(docker ps -q) || true 2025-08-14T21:59:59.4418552Z # Prune all of the docker images 2025-08-14T21:59:59.4418816Z docker system prune -af 2025-08-14T21:59:59.4423936Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:59:59.4424216Z env: 2025-08-14T21:59:59.4424400Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:59:59.4424755Z DOCKER_CONTAINER_ID: 711bd4f070a038d51305c7bcf919fd9f32d0e6a448a24ff2a7c64e4a1b272d89 2025-08-14T21:59:59.4425128Z DEVICE_NAME: 2025-08-14T21:59:59.4425313Z DEVICE_TYPE: 2025-08-14T21:59:59.4425490Z ##[endgroup] 2025-08-14T22:00:10.3342878Z 711bd4f070a0 2025-08-14T22:00:11.0765446Z Deleted Containers: 2025-08-14T22:00:11.0765895Z 711bd4f070a038d51305c7bcf919fd9f32d0e6a448a24ff2a7c64e4a1b272d89 2025-08-14T22:00:11.0766258Z 2025-08-14T22:00:22.1360649Z Deleted Images: 2025-08-14T22:00:22.1361492Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe 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2025-08-14T22:00:22.2663677Z git version 2.47.1 2025-08-14T22:00:22.2714888Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/317c02ba-9468-4d64-9341-d01b76607ecc/.gitconfig' 2025-08-14T22:00:22.2723177Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/317c02ba-9468-4d64-9341-d01b76607ecc' before making global git config changes 2025-08-14T22:00:22.2727605Z Adding repository directory to the temporary git global config as a safe directory 2025-08-14T22:00:22.2728182Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T22:00:22.2775035Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-08-14T22:00:22.2814953Z [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' || :" 2025-08-14T22:00:22.3155221Z Entering 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'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T22:00:22.8210017Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-08-14T22:00:22.8237627Z http.https://github.com/.extraheader 2025-08-14T22:00:22.8250063Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-08-14T22:00:22.8277341Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-08-14T22:00:22.8619957Z Entering 'android/libs/fbjni' 2025-08-14T22:00:22.8658788Z http.https://github.com/.extraheader 2025-08-14T22:00:22.8702490Z Entering 'third_party/FP16' 2025-08-14T22:00:22.8745784Z http.https://github.com/.extraheader 2025-08-14T22:00:22.8779033Z Entering 'third_party/FXdiv' 2025-08-14T22:00:22.8818232Z http.https://github.com/.extraheader 2025-08-14T22:00:22.8854883Z Entering 'third_party/NNPACK' 2025-08-14T22:00:22.8905343Z http.https://github.com/.extraheader 2025-08-14T22:00:22.8950197Z Entering 'third_party/NVTX' 2025-08-14T22:00:22.8992789Z http.https://github.com/.extraheader 2025-08-14T22:00:22.9034935Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T22:00:22.9079506Z http.https://github.com/.extraheader 2025-08-14T22:00:22.9112009Z Entering 'third_party/XNNPACK' 2025-08-14T22:00:22.9153667Z http.https://github.com/.extraheader 2025-08-14T22:00:22.9200690Z Entering 'third_party/aiter' 2025-08-14T22:00:22.9239099Z http.https://github.com/.extraheader 2025-08-14T22:00:22.9286199Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T22:00:22.9318846Z http.https://github.com/.extraheader 2025-08-14T22:00:22.9375698Z Entering 'third_party/benchmark' 2025-08-14T22:00:22.9416657Z http.https://github.com/.extraheader 2025-08-14T22:00:22.9446390Z Entering 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2025-08-14T22:00:23.1751529Z http.https://github.com/.extraheader 2025-08-14T22:00:23.1795004Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T22:00:23.1833631Z http.https://github.com/.extraheader 2025-08-14T22:00:23.1878899Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T22:00:23.1925451Z http.https://github.com/.extraheader 2025-08-14T22:00:23.1955226Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T22:00:23.1998459Z http.https://github.com/.extraheader 2025-08-14T22:00:23.2041679Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T22:00:23.2073282Z http.https://github.com/.extraheader 2025-08-14T22:00:23.2114127Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T22:00:23.2161055Z http.https://github.com/.extraheader 2025-08-14T22:00:23.2213401Z Entering 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2025-08-14T22:00:23.3315459Z http.https://github.com/.extraheader 2025-08-14T22:00:23.3349004Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T22:00:23.3391390Z http.https://github.com/.extraheader 2025-08-14T22:00:23.3433516Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T22:00:23.3480624Z http.https://github.com/.extraheader 2025-08-14T22:00:23.3520635Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T22:00:23.3563508Z http.https://github.com/.extraheader 2025-08-14T22:00:23.3593180Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T22:00:23.3636479Z http.https://github.com/.extraheader 2025-08-14T22:00:23.3680452Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T22:00:23.3723154Z http.https://github.com/.extraheader 2025-08-14T22:00:23.3783644Z Entering 'third_party/pocketfft' 2025-08-14T22:00:23.3822354Z http.https://github.com/.extraheader 2025-08-14T22:00:23.3868784Z Entering 'third_party/protobuf' 2025-08-14T22:00:23.3924568Z http.https://github.com/.extraheader 2025-08-14T22:00:23.3969774Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T22:00:23.4009262Z http.https://github.com/.extraheader 2025-08-14T22:00:23.4042763Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T22:00:23.4083848Z http.https://github.com/.extraheader 2025-08-14T22:00:23.4131669Z Entering 'third_party/psimd' 2025-08-14T22:00:23.4175903Z http.https://github.com/.extraheader 2025-08-14T22:00:23.4212144Z Entering 'third_party/pthreadpool' 2025-08-14T22:00:23.4260319Z http.https://github.com/.extraheader 2025-08-14T22:00:23.4300212Z Entering 'third_party/pybind11' 2025-08-14T22:00:23.4351565Z http.https://github.com/.extraheader 2025-08-14T22:00:23.4393686Z Entering 'third_party/python-peachpy' 2025-08-14T22:00:23.4436524Z http.https://github.com/.extraheader 2025-08-14T22:00:23.4466318Z Entering 'third_party/sleef' 2025-08-14T22:00:23.4504886Z http.https://github.com/.extraheader 2025-08-14T22:00:23.4535630Z Entering 'third_party/tensorpipe' 2025-08-14T22:00:23.4574443Z http.https://github.com/.extraheader 2025-08-14T22:00:23.4622115Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T22:00:23.4666295Z http.https://github.com/.extraheader 2025-08-14T22:00:23.4698328Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T22:00:23.4740929Z http.https://github.com/.extraheader 2025-08-14T22:00:23.4781901Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T22:00:23.4823518Z http.https://github.com/.extraheader 2025-08-14T22:00:23.4854851Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T22:00:23.4897041Z http.https://github.com/.extraheader 2025-08-14T22:00:23.4930581Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T22:00:23.4970347Z http.https://github.com/.extraheader 2025-08-14T22:00:23.5100179Z A job completed hook has been configured by the self-hosted runner administrator 2025-08-14T22:00:23.5118863Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh' 2025-08-14T22:00:23.5123690Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:00:23.5123980Z ##[endgroup] 2025-08-14T22:00:23.5204293Z [!ALERT!] Swap in detected! [!ALERT!] 2025-08-14T22:00:34.9231551Z [!ALERT!] Swap out detected [!ALERT!] 2025-08-14T22:00:53.9994819Z Cleaning up orphan processes